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REVIEW article

Front. Immunol., 08 January 2024
Sec. Inflammation
This article is part of the Research Topic Characteristic clinical immune phenotypes and molecular mechanisms associated with inflammatory diseases View all 26 articles

Immunological dimensions of neuroinflammation and microglial activation: exploring innovative immunomodulatory approaches to mitigate neuroinflammatory progression

Lucas Fornari Laurindo,*Lucas Fornari Laurindo1,2*Jefferson Aparecido Dias,Jefferson Aparecido Dias2,3Adriano Cressoni Araújo,Adriano Cressoni Araújo2,3Karina Torres Pomini,Karina Torres Pomini3,4Cristiano Machado GalhardiCristiano Machado Galhardi2Claudia Rucco Penteado DetregiachiClaudia Rucco Penteado Detregiachi3Luíza Santos de Argollo HaberLuíza Santos de Argollo Haber2Domingos Donizeti Roque,Domingos Donizeti Roque2,4Marcelo Dib BecharaMarcelo Dib Bechara2Marcela Vialogo Marques de CastroMarcela Vialogo Marques de Castro3Eliana de Souza Bastos Mazuqueli PereiraEliana de Souza Bastos Mazuqueli Pereira3Ricardo Jos TofanoRicardo José Tofano2Iris Jasmin Santos German BorgoIris Jasmin Santos German Borgo5Sandra Maria Barbalho,,Sandra Maria Barbalho2,3,6
  • 1Department of Biochemistry and Pharmacology, School of Medicine, Faculdade de Medicina de Marília (FAMEMA), Marília, São Paulo, Brazil
  • 2Department of Biochemistry and Pharmacology, School of Medicine, Universidade de Marília (UNIMAR), Marília, São Paulo, Brazil
  • 3Postgraduate Program in Structural and Functional Interactions in Rehabilitation, School of Medicine, Universidade de Marília (UNIMAR), Marília, São Paulo, Brazil
  • 4Department of Anatomy, School of Medicine, Universidade de Marília (UNIMAR), Marília, São Paulo, Brazil
  • 5Department of Biological Sciences (Anatomy), School of Dentistry of Bauru, Universidade de São Paulo (FOB-USP), Bauru, São Paulo, Brazil
  • 6Department of Biochemistry and Nutrition, School of Food and Technology of Marília (FATEC), Marília, São Paulo, Brazil

The increasing life expectancy has led to a higher incidence of age-related neurodegenerative conditions. Within this framework, neuroinflammation emerges as a significant contributing factor. It involves the activation of microglia and astrocytes, leading to the release of pro-inflammatory cytokines and chemokines and the infiltration of peripheral leukocytes into the central nervous system (CNS). These instances result in neuronal damage and neurodegeneration through activated nucleotide-binding domain and leucine-rich repeat containing (NLR) family pyrin domain containing protein 3 (NLRP3) and nuclear factor kappa B (NF-kB) pathways and decreased nuclear factor erythroid 2-related factor 2 (Nrf2) activity. Due to limited effectiveness regarding the inhibition of neuroinflammatory targets using conventional drugs, there is challenging growth in the search for innovative therapies for alleviating neuroinflammation in CNS diseases or even before their onset. Our results indicate that interventions focusing on Interleukin-Driven Immunomodulation, Chemokine (CXC) Receptor Signaling and Expression, Cold Exposure, and Fibrin-Targeted strategies significantly promise to mitigate neuroinflammatory processes. These approaches demonstrate potential anti-neuroinflammatory effects, addressing conditions such as Multiple Sclerosis, Experimental autoimmune encephalomyelitis, Parkinson’s Disease, and Alzheimer’s Disease. While the findings are promising, immunomodulatory therapies often face limitations due to Immune-Related Adverse Events. Therefore, the conduction of randomized clinical trials in this matter is mandatory, and will pave the way for a promising future in the development of new medicines with specific therapeutic targets.

1 Introduction

The steady rise in life expectancy has increased the prevalence of age-related neurodegenerative diseases. Significantly, the sustenance of neuronal functions and the preservation of cognitive capabilities hinge on the accessibility of elevated energy levels to meet the neurons’ demands (1, 2). As a result, the substantial oxygen consumption by neurons may signify the heightened susceptibility of the brain to oxidative stress from reactive oxygen species (ROS) and ensuing inflammation (3, 4).

Neuroinflammation is characterized by an inflammatory reaction within the brain or spinal cord (5). It is orchestrated by releasing cytokines, chemokines, reactive oxygen species, and secondary messengers (6). These signaling molecules are generated by various cell types, including resident central nervous system (CNS) glia (microglia and astrocytes), endothelial cells, and immune cells originating from the periphery (7). The consequences of these neuroinflammatory responses encompass immune, physiological, biochemical, and psychological implications (8). At first, in its temporary phase, neuroinflammation functions as a safeguarding mechanism. Nevertheless, findings from both clinical and pre-clinical investigations indicate that prolonged or maladaptive neuroinflammation assumes a central role as a pathological catalyst in various neurological conditions. These encompass neurodegenerative diseases, psychiatric disorders, pain syndromes, stroke, and traumatic brain injury (911).

Mitigating neuroinflammation to diminish disease severity and enhance individual outcomes is considered a strategy against neurodegeneration. From a molecular standpoint, several conventional, targetable elements are involved in neuroinflammation, including enzymes, receptors, and ion channels (12, 13). While elevated expenses and restricted efficacy potentially raise concerns about using conventional drugs to inhibit neuroinflammation targets, there is still a substantial opportunity to investigate novel therapies for alleviating neuroinflammation in CNS diseases, possibly even before their onset (14). In this scenario, the interest in innovative anti-inflammatory and neuroprotective immunomodulatory therapies increased.

No current reviews emphasized the potential of cutting-edge and innovative immunomodulatory therapies as controllers of neuroinflammation, covering models of microglial activation, neurodegeneration, and brain aging. The present study also stands out for its comprehensive examination and detailed exploration of the fundamental inflammatory signaling pathways central to these processes. Trewin et al. (15) exclusively concentrated on the impacts of immunotherapy on encephalitis disability outcomes, overlooking the resolution or decrease of neuroinflammation through the application of immunotherapeutic approaches. A similar situation can be exemplified in the field of neuro-oncology by Majd et al. (16) and neurodegeneration by Wang & Colonna (17), which exclusively addressed Alzheimer’s. Xu et al. (18) delved into microglia’s functional and phenotypic diversity and its relevance to microglia-based therapies for Alzheimer’s Disease. Nevertheless, their emphasis was profoundly on the phagocytic microglial phenotype derived from Alzheimer’s Disease, neglecting a profound discussion of the other inflammatory signaling pathways linked to microglial activation in the context of the disease and other neuroinflammatory diseases. Likewise, Araújo et al. (19) explored the intricate mechanisms of the microglial phenotype, specifically in Parkinson’s Disease. However, these authors seem to concentrate solely on the peripheral response within the Parkinson’s neuroenvironment and did not extensively delve into the inflammatory signaling pathways implicated. Finally, Brambilla (20) concentrated on the astrocyte response in both multiple sclerosis and experimental autoimmune encephalomyelitis. While addressing a single disease, the author extensively explored the intricate mechanisms of astrocytes’ reaction to soluble mediators (such as cytokines and chemokines), the regulation of oxidative stress, and the preservation of blood-brain barrier (BBB) integrity and function. Nevertheless, there was not an in-depth discussion of the inflammatory pathways involved. The present study seeks to compile a comprehensive review encompassing these facets to bridge this gap in knowledge from lab to clinic.

2 Materials and methods

2.1 Focal question

The primary questions driving this review are: “What are the Neuroimmunological Aspects of Neuroinflammation and Microglial Activation in Alzheimer’s Disease, Parkinson’s Disease, and Multiple Sclerosis?’’ and ‘‘What are the Current Trends in Mitigating Neuroinflammation with Innovative Immunomodulatory Options?”.

2.2 Inclusion and exclusion criteria

This comprehensive review systematically investigated both in vitro and in vivo studies employing innovative immunomodulatory therapies for intervening in neuroinflammation. Carefully selected criteria were applied to ensure the inclusion of studies directly relevant to the research question, with a focus on full-text articles. Conversely, exclusion criteria were employed to filter out reviews, poster presentations, case reports, and editorials, eliminating studies that did not align with the review’s objectives or exhibited a high risk of bias.

To categorize and synthesize the studies, a systematic approach was implemented. All identified studies underwent title screening using automated tools, with a subsequent critical examination of their abstracts. At this stage, duplicates were also removed. Subsequently, studies meeting the initial criteria underwent a more thorough assessment involving comprehensive reading and interpretation. This process facilitated a detailed evaluation of study quality, relevance, and applicability. Following this comprehensive assessment, the studies underwent bias assessment to ensure the review process’s robustness further.

2.3 Language

This review exclusively included studies conducted in English.

2.4 Databases

We conducted a comprehensive search across reputable databases, including PubMed, EMBASE, and COCHRANE, with the last access on 29 November 2023. The employed Mesh terms were thoughtfully selected to optimize the search process, encompassing terms such as “Neuroinflammation,” “Neuroinflammation Intervention,” “Alzheimer’s Disease,” “Parkinson’s Disease,” and “Multiple Sclerosis.” These terms were combined with “Microglia,” “Microglia Activation,” “Immunomodulation,” and “Immunomodulatory Approaches” using the Boolean operator ‘and.’ The deliberate choice of these Mesh terms aimed at identifying relevant in vitro and in vivo studies aligning with the review’s objectives. The absence of predefined filters or restrictions during the identification of included studies was intentional, ensuring a comprehensive and unbiased search strategy. This approach allowed for an exhaustive exploration of the available literature. The determination of whether a study met the inclusion criteria followed a systematic and transparent approach. Two independent reviewers, L.F. Laurindo and S.M. Barbalho, actively participated in the screening process. In instances of disparities in their initial assessments, a third reviewer, K.T. Pomini, was engaged to facilitate resolution.

2.5 Study selection

Due to the current absence of clinical studies exploring the impacts of innovative immunomodulatory approaches on individuals with neuroinflammatory diseases, our review deliberately narrowed its focus. Instead, we dedicated our attention to an exhaustive analysis of in vitro and in vivo studies. This approach gave us insights into the mechanisms, efficacy, and potential therapeutic applications of these last-researched immunomodulatory interventions in neuroinflammation. We aimed to offer a comprehensive overview of the existing knowledge base by concentrating on preclinical studies. These in-depth examinations of cellular and animal models provide valuable insights into the potential translational relevance of these innovative approaches for human neuroinflammatory conditions. While acknowledging the preliminary nature of such studies, this review lays the groundwork for future clinical investigations by synthesizing and critically evaluating the available preclinical evidence.

2.6 Data extraction

The deliberately expansive search strategy employed for both in vitro and in vivo studies was designed without temporal restrictions. This intentional approach was chosen to embrace diverse, relevant research across different timeframes and to include immunomodulatory interventions that, primarily due to cost and other ethical constraints, have not yet been translated into clinical research. By refraining from imposing specific temporal restrictions, our objective was to encompass the entirety of the available literature, facilitating a thorough exploration of the subject matter. This inclusive strategy proved crucial in identifying potential trends, historical perspectives, and evolving methodologies pertinent to the research question. Throughout its construction, this review strictly adhered to the guidelines outlined in the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) (21). This adherence ensures transparency and rigor in the review process, aligning with established standards for systematic reviews and enhancing the reliability of our findings.

2.7 Quality assessment

Two proficient evaluators (R.J. Tofano and M.D. Bechara) who underwent training in the Joanna Briggs Institute (JBI) Checklist Critical Appraisal Tool for Systematic Reviews’ Quality (22, 23) were entrusted with the responsibility of conducting the quality assessment. The JBI, an esteemed global research institution within the Faculty of Health and Medical Sciences at the University of Adelaide in South Australia, has devised a set of 11 standardized questions aimed at streamlining the evaluation process for systematic reviews or meta-analyzes. These reviewers were guided to provide responses categorized as “Yes,” “No,” or “Unclear,” with the option “Not Applicable” (NA) available in specific instances. Comprehensive definitions and illustrative examples were developed to facilitate practical scale use, offer guidance, and enhance clarity for the reviewers. These guidelines are meticulously crafted to ensure a consistent and accurate assessment of each item on the scale. In instances where discrepancies arose between the initial two reviewers, a third independent reviewer (C.R.P. Detregiachi) was engaged to mediate and facilitate resolution, further enhancing the reliability and objectivity of the quality assessment process.

3 Nuclear Factor Kappa B (NF-κB): a pioneer shaping the landscape of neuroinflammation and neurodegenerative conditions

Nuclear Factor Kappa B (NF-κB), an inducible transcription factor also known as the nuclear factor of the κ-chain in B-cells, plays a crucial role in regulating a wide array of genes involved in both developmental and immune-modulatory processes, not limited to inflammation (24). NF-κB comprises five members, namely ReIB, c-ReI, ReIA (p65), NF-κB1 (p50), and NF-κB2 (p52), all sharing similar structures (25). These components facilitate the transcription process of various inflammatory agents by binding to specific deoxyribonucleic acid (DNA) elements known as kB enhancers, forming different hetero- and homo-dimers (26). In activated cells, NF-κB-related proteins are sequestered in the cytoplasm by a group of inhibitory proteins known as IkB, characterized by ankyrin repeats. IkBα has been extensively studied (2730). At the molecular level, numerous proinflammatory cytokines and factors like interleukin (IL)-33, lymphotoxin-β, IL-1β, IL-12, granulocyte macrophage-colony stimulating factor (GM-CSF), tumor necrosis factor (TNF)-α, and IL-17 initiate NF-κB signaling. Additionally, microbial antigens such as CpG-DNA, enterotoxins, flagellin, and lipopolysaccharide (LPS), as well as viral agents and proteins, and various receptor ligands like CD40L, Fas ligand (FasL), TNF-related apoptosis-inducing ligand (TRAIL), bone morphogenetic proteins (BMP)-2, B-cell activating factor (BAFF), hepatocyte growth factor (HGF), and BMP-4, can also activate NF-kB (3134). Furthermore, components released during cell rupture, including extracellular ribonucleic acid (RNA) molecules, high mobility group box 1 (HMGB1), extracellular DNA molecules, and damage-associated molecular patterns (DAMPs), as well as several eukaryotic parasites like Leishmania and Candida albicans, can trigger NF-κB activation (3539). Finally, physiological stressors like hyperglycemia, endoplasmic reticulum (ER) stress, oxidative stress (OS), and acidic pH, along with mechanical stressors resulting from the presence of altered proteins and particles, such as oxidized low-density lipoprotein cholesterol (LDL), amyloid protein fragments, and advanced glycation end products (AGEs), as well as ionizing radiation and ultraviolet (UV) light exposure, also activate NF-κB (25, 40, 41).

NF-κB activation typically involves two main pathways: the canonical and non-canonical (or alternative) (25). In the canonical pathway, NF-κB is primarily triggered by ligands binding to receptors of proinflammatory cytokines such as the T cell receptor (TCR), members of the TNF receptor superfamily (TNFRSF), pattern-recognition receptors (PRRs), and the B cell receptor (BCR) (4244). This conventional pathway initiates with the controlled and inducible degradation of IkBα, facilitated by precise phosphorylation at specific sites carried out by a multi-subunit IkB kinase (IKK) complex (45). Various molecules and stressors, including proinflammatory cytokines, growth factors, microbial components, and mitogens, can activate the IKK complex (46). Molecularly, the IKK complex consists of two catalytic subunits, IKKα and IKKβ, along with a regulatory subunit known as NF-κB essential modulator (NEMO) or IKKγ. Once activated, the IKK complex phosphorylates IKKα at two serine residues in the N-terminal region. These residues lead to the ubiquitin-dependent degradation of IkKα in the proteasome, resulting in the rapid and transient translocation of canonical NF-κB members from the cytoplasm to the nucleus. The canonical NF-κB dimers primarily comprise p50/ReIA and p50/c-ReI (25, 39, 47, 48).

The canonical activation of NF-κB is central in orchestrating and advancing immunological responses. It is instrumental in triggering various facets of the immune system (49). In the context of inflammation, NF-κB fosters the heightened production of proinflammatory cytokines, chemokines, and adhesion molecules, while also regulating immune cells’ differentiation, proliferation, morphogenesis, and apoptosis (50, 51). Specifically, dendritic cells are prompted to mature, enabling them to present antigens and initiate immune responses [29] efficiently. Within the influence of NF-κB signaling, T cells also undergo differentiation and activation driven by inflammation (52). This signaling pathway is pivotal in forming memory T cells, which play a critical role in long-term immunity. Factors such as RAR-related orphan receptor gamma transcription (RORγt), IL-23, and IL-12 are intimately linked within this facet of the NF-κB signaling (5355). Moreover, NF-κB activation spurs macrophages to produce substantial quantities of proinflammatory cytokines and chemokines and prompts them to polarize into the M1 phenotype, known for its proinflammatory functions (5659). Neutrophils are also influenced by NF-κB signaling, resulting in their anti-apoptotic state and extensive recruitment to sites of inflammation, thereby bolstering the immune response (6062).

On the other hand, the non-canonical (alternative) activation of NF-κB is more specialized and reacts to a distinct set of stimuli. This pathway is set in motion by ligands binding to a subset of TNFRSF (63). In contrast to the canonical path, the non-canonical route involves processing the precursor protein NF-κB2 (p100) (64). This processing of p100 entails the degradation of its C-terminal IkB-like structure, leading to the generation of a mature form of NF-κB2 known as p52 (65). Subsequently, this mature NF-κB2 p52 relocates into the nucleus in conjunction with ReIB. A crucial player in orchestrating this degradation process is a signaling molecule called NF-κB-inducing kinase (NIK) (66, 67). NIK effectively instigates the activation of IKKα and works in collaboration with it to facilitate the phosphorylation of p100 (34, 68). Previous research has established that non-canonical NF-κB activation functions as an additional signaling axis that integrates precise adjustments and enhances immune responses alongside the conventional pathway in overseeing specific adaptive roles within the acquired immunity (25, 39, 69, 70).

From a biological standpoint, NF-κB is pivotal in coordinating cellular reactions to various stressors and challenging environments (71). As mentioned, NF-κB prompts diverse cells to adapt to threats and initiate their defense mechanisms upon activation and signaling. This enables them to counteract the danger effectively and prevent cellular death (72). The ultimate objective is to restore the body’s original physiological state and uphold cellular equilibrium, known as homeostasis. To accomplish this, NF-κB targets a broad spectrum of genes, either enhancing their expression or inducing them to evoke protective responses (73). However, despite its critical function in safeguarding the body, NF-κB’s proinflammatory nature also implicates it in the pathophysiology and progression of various inflammatory conditions, including neuroinflammatory disorders (74).

To significantly instigate inflammatory diseases, NF-κB operates by activating and regulating various inflammasomes (75). Inflammasomes are composed of multi-protein complexes within cells that assemble and activate caspases not only in response to pathogen-associated molecular patterns (PAMPs) but also to DAMPs (76). Inflammasomes are well-recognized pivotal components of the innate immune system. They typically include a ligand-sensing receptor, often belonging to the nucleotide-binding domain leucine-rich repeat (NLR) family (such as NLRP1, NLRP3, NLRC4, or AIM2), an adaptor protein (usually the apoptosis-associated speck-like protein containing a CARD domain [ASC]), and a pro-caspase (typically pro-caspase 1) (77). Upon receiving the appropriate stimulus, these receptors form oligomers and enlist pro-caspase 1 with the assistance of the ASC protein. (78). Subsequently, pro-caspase 1 transforms into active caspase 1, which cleavages pro-IL-1β and pro-IL-18, producing their mature forms (79). Indeed, the controlled release of IL-18 and IL-1β can initiate numerous inflammatory processes stemming from the inflammasome (80, 81). Presently, NLRP3 stands out as the most extensively studied inflammasome. It is composed of NLRP3, ASC, the essential regulatory protein never in mitosis gene A (NIMA)-related kinase 7 (NEK7), and pro-caspases 1 (82, 83). The dysregulation and disruption of NLRP3 can lead to subsequent NF-κB hyperactivation, giving rise to various inflammatory diseases (8486).

In the face of neuronal challenges, NF-κB exhibits a sustained level of activity in the cell bodies of neurons, offering protection against various injuries and regulating neuroinflammatory responses (87). Furthermore, NF-κB transcription factors are abundant in numerous cells of the CNS, including glial and endothelial cells of cerebral blood vessels, where they play a regulatory role in the neuronal environment and perform diverse functions (88, 89). Additionally, NF-κB activation is associated with several CNS diseases (90). Interestingly, the multifarious processes of NF-κB in the CNS are contingent on the specific subunits involved in NF-κB dimer formation within brain cells. Notably, the expression of RelA and c-Rel has distinct effects on neuronal survival, with the presentation of c-Rel being particularly crucial in mitigating apoptosis and age-related behaviors within the CNS (91).

NF-κB transcription factors exhibit a constitutive expression in the brain, with baseline levels higher than those found in peripheral tissues (92). Studies indicate that NF-κB shows consistent activation in CNS glutamatergic neurons, including specific regions like the hippocampus (comprising pyramidal neurons and granule cells of CA1 and CA3) and the cerebral cortex (specifically layers 2, 4, and 5) (93). At the molecular level, this ongoing NF-κB activity in glutamatergic neurons of the cerebral cortex and hippocampus can be inhibited by N-methyl-D-aspartate and AMPA glutamate receptor antagonists, underscoring its regulation by basal synaptic transmission (88, 94). This constitutive NF-κB activity has also been noted in various brain regions of rodents, including the amygdala, cerebellum, hypothalamus, hippocampus, cerebral cortex, and olfactory lobes (88).

Moreover, inducible NF-κB can also be detected within synapses, and the activation of the glutamatergic system induces the retrograde movement of the p65 protein from synapses to the nucleus (95, 96). This implies that NF-κB plays a role in converting brief synaptic signals into enduring changes in gene expression (97). Additionally, the activated IKK and its product, phosphorylated IκBα, have been identified at the axon initial segment—the site where action potentials originate—suggesting that constitutive NF-κB activation is involved in neuronal information processing (98100).

In summary, in the CNS, NF-κB assumes pivotal functions with various biological processes, including neurogenesis, neuritogenesis, and synaptic plasticity, all intricately connected to learning and memory (88). Additionally, multiple studies have furnished evidence that NF-κB activation can confer a degree of neuronal safeguarding against diverse forms of harm, such as excitotoxicity, oxidative stress, and the harmful effects of excessive Aβ peptide, effectively acting as a cellular defense mechanism (101103).

4 NLR (nucleotide-binding domain and leucine-rich repeat containing) family pyrin domain containing 3 (NLRP3) inflammasome on neuroinflammation: investigating a potential therapeutic avenue for neuroinflammatory conditions

Inflammasomes are complex protein assemblies found within the cytoplasm, serving a dual role in activating IL-1β and IL-18 and triggering pyroptosis (104). Their principal function is to initiate and sustain the innate immune response against various stressors, whether from within the body or externally (105). Structurally, NLRs comprise distinctive domains, including an N-terminal effector domain, a C-terminal leucine-rich repeat (LRR) region, and a central nucleotide-binding domain (NBD/NOD/NACHT). While NACHT and LRR are conserved across all NLRs except for NLRP10, the N-terminal effector domain exhibits variability (106). This variability allows NLRs to engage with different partners and recruit various integrators. Beyond their well-known role in activating the NF-kB inflammatory pathway, NLRs also play a part in mitogen-activated protein kinase (MAPK) signaling, antigen presentation, cytosolic signal transduction complexes assembly, and embryonic development (107, 108).

Within the NLR family of inflammasomes, NLRP3 emerges as a distinctive receptor (109). Unlike its counterparts, NLRP3 undergoes indirect activation triggered by pathogenic and sterile proinflammatory cues. When exposed to bacterial and viral PAMPs such as nucleic acids, LPS, nigericin, and gramicidin, along with DAMPs, ROS, extracellular adenosine triphosphate (ATP), potassium efflux, and metabolic crystals, the NLRP3 domain is prompted into action (110).

At the molecular level, the activation of NLRP3 relies on three key components: a sensor (NLRP3), an adaptor (ASC or PYARD), and an effector (caspase-1). This process encompasses two crucial phases: priming and activation (111). During the priming phase, there is an essential upregulation of NLRP3, pro-IL-1β, and caspase-1. This upregulation is initiated by activating PRRs and cytokine receptors, including toll-like receptors (TLRs) and IL-1 receptors (IL-1R), in response to PAMPs and DAMPs, respectively. Subsequently, the activation phase of NLRP3 is prompted by either endogenous molecules, such as DAMPs, or external stimuli, like PAMPs, K+, and Cl− ions efflux, or the influx of Ca2+ (77).

Upon detecting hazardous signals, typically recognized via the LRR domain, individual NLRP3 monomers initiate the oligomerization process. In this phase, they engage with pyrin domains, specifically the apoptosis-associated speck-like proteins containing a CARD (PYCARD). This interaction occurs through homophilic connections, leading to the recruitment of cysteine protease pro-caspase-1 by ASC. ASC, acting as an adaptor, effectively utilizes its caspase recruitment domain (CARD) to facilitate this recruitment. As a result, caspase-1 undergoes autocatalysis and subsequent activation, producing proinflammatory cytokines IL-1β and IL-18 and instigating pyroptosis, a form of programmed cell death (107, 112).

Indeed, NLRP3 has been observed to engage with nucleotide-binding oligomerization domain 2 (NOD2) through a CARD-dependent mechanism (113). This interaction mediates explicitly the processing of the prominent NLRP3-associated proinflammatory cytokine, IL-1β (114). Unlike other cytokines within the IL-1 family that can attenuate inflammation, IL-1β actually promotes it. This cytokine plays a pivotal role in coordinating proinflammatory responses across various tissues, thereby contributing to the pathogenesis of numerous systemic inflammatory disorders. Furthermore, IL-1β is closely associated with leukocytosis and heightened levels of acute phase inflammatory proteins (115).

Verily, the activation of the NLRP3 inflammasome is intricately connected to the development of a range of inflammatory and immunomodulated conditions such as diabetes, inflammatory bowel diseases, and atherosclerosis (77). Nevertheless, an excessive activation level is necessitated for NLRP3 to precipitate illness (116). Given its multifaceted functions, it is imperative to carefully modulate NLRP3 to avert undesirable disease pathways and to safeguard the organism from the harm caused by excessive inflammation.

The NLRP3/caspase-1/IL-1 axis has emerged as a pivotal signaling pathway within the innate immune system of the CNS (117). Caspase-1 is notably abundant in disorders associated with neuroinflammation (118). Furthermore, IL-1β and IL-18 have been implicated in the onset of neuroinflammation (119, 120). Research has demonstrated heightened levels of IL-1β and IL-18 in the cerebrospinal fluid, brain tissue, and plasma of individuals affected by CNS infections, brain injuries, Alzheimer’s disease (AD), and multiple sclerosis (MS) (110). Following binding to their respective receptors on microglial cells, astrocytes, neurons, and endothelial cells, IL-1β and IL-18 set off a complex cascade of signaling events, ultimately leading to the subsequent expression of various inflammation-related genes (121). Importantly, these cytokine-mediated processes have been associated with cognitive decline and enduring neuropsychiatric conditions (122124).

Furthermore, IL-1β signaling plays a crucial role in initiating and sustaining inflammatory responses within the CNS in reaction to various detrimental stimuli (125). This cytokine also impacts the integrity of the BBB, directly infiltrating peripheral immune cells into the CNS (126, 127). Additionally, while stimulating the activation of microglia and astrocytes, IL-1β also activates T cells that have infiltrated the CNS, fostering the production of proinflammatory factors like IL-6 and TNF-α, as well as neurotoxic mediators (128). Moreover, IL-1β indirectly attracts leukocytes by heightening the expression of chemokines, and experimental studies have indicated that IL-1β overexpression contributes to neuronal injury by modulating glutamate excitotoxicity (110, 129).

Conversely, IL-18 predominantly provokes T-helper (Th) cell-mediated immune responses, instigating the generation of adhesion molecules, proinflammatory cytokines, and chemokines in natural killer, Th1, and B cells. Additionally, IL-18 initiates signaling pathways in microglia, resulting in elevated expression of caspase-1, matrix metalloproteinases, and production of proinflammatory cytokines. Furthermore, IL-18 amplifies FasL expression in glial cells, exacerbating Fas-mediated neuronal cell death in situations of neuroinflammation (110, 130132).

Evidently, pyroptosis, a highly inflammatory and programmed cell death intricately linked to NLRP3 activation, is exclusively orchestrated by activated caspase-1, distinguishing it from necrosis and apoptosis (133). Recently, pyroptosis has been observed in both glial cells and neurons (134). This type of cellular demise results in a swift rupture of the plasma membrane, leading to an abundant release of proinflammatory cytokines and chemokines such as TNF-α, IL-1β, IL-6, and CX3C-chemokine ligand 3. This exacerbates the inflammatory mediator-induced neuronal death (135, 136). It is worth noting that these elements draw immune cells from the bloodstream to the sites of inflammation, intensifying the inflammatory responses and resulting in significant tissue damage in the CNS, especially under neuropathological conditions (137, 138).

5 Harnessing the power of nuclear factor erythroid 2-related factor 2 (Nrf2) for combating oxidative stress and neuroinflammation in neurodegenerative disorders

Nrf2 is a member of the vertebrate Cap’n’Collar (CNC) transcription factor subfamily, a subset of the basic leucine zipper (bZip) transcription factors (139, 140). This subfamily encompasses additional members such as nuclear factor E2-related factors 1 and 3 (Nrf1 and Nrf3) and p45 NF-E2 (141).

At the molecular level, Nrf2 is crucial in overseeing the expression of many mammalian antioxidant genes under normal conditions and when triggered. Its activation is prompted by diverse stressors, including mild oxidative or electrophilic stress (142). Notably, several chemical agents are recognized for their ability to enhance internal antioxidants by activating Nrf2. Indeed, the remarkable feature of Nrf2 lies in its responsiveness, allowing it to dynamically react to environmental stressors (141).

In theory, many cellular elements govern the stability of the Nrf2 protein, consequently influencing its movement into the nucleus. Among these factors, Keap1 emerges as the foremost player (140, 143). Typically, Nrf2 is situated in the cytosol, forming a complex with Keap1 (Kelch-like ECH-associated protein 1), also recognized as an inhibitor of Nrf2 (INrf2), which is an actin-binding protein (144). Keap1 is pivotal in modulating Nrf2 function and exists in cellular dimers. Functioning as a substrate linker, Keap1 facilitates the binding of the Cul3/Rbx1-based E3-ubiquitin ligase complex to Nrf2, leading to the continuous ubiquitination of Nrf2 and subsequent degradation through the proteasome pathway (145, 146). This continual degradation of Nrf2 under normal conditions maintains low levels of Nrf2, thereby restricting the expression of Nrf2-regulated antioxidants (147). However, in the presence of mild oxidative or electrophilic stress or exposure to chemical inducers, Nrf2 dissociates from Keap1. This event leads to its stabilization and subsequent translocation into the cell nuclei (148). Once in the nuclei, Nrf2 interacts with various protein factors, including small Maf (sMaf), and binds to antioxidant response elements (ARE), consequently facilitating heightened transcription of antioxidant genes (149). In mammals, including humans, the Keap1-Cul3-Rbx1 axis is the foremost regulatory mechanism governing Nrf2 activity (141).

Several mechanisms have been proposed to clarify the separation of Nrf2 from Keap1 during periods of stress (150). Of particular note, two mechanisms have received substantial attention: the oxidation of cysteine residues in Keap1 and the binding of p62 to Keap1 (140, 151, 152). Keap1 is a protein-rich in cysteine, with specific cysteine residues as sensors responsive to electrophiles and ROS (153). Alterations to particular cysteine sulfhydryl groups, particularly Cys151, Cys273, and Cys288, within the Keap1 protein trigger the dissociation of Nrf2 from Keap1. As a result, the Keap1-Nrf2 system is acknowledged as a pivotal thiol-based sensor-effector mechanism crucial for maintaining cellular redox balance (141).

Also known as sequestosome 1 (SQSTM1), p62 is a protein that binds to ubiquitin and guides protein aggregates toward degradation via the autophagic pathway (154, 155). It competes with Nrf2 for Keap1 binding, which leads to Keap1 degradation and stabilizes Nrf2. Notably, the promoter of the p62 gene contains an ARE, making it a target gene for Nrf2. This creates a positive feedback loop where Nrf2 induces ARE-driven gene transcription, thereby increasing p62 levels (141, 156, 157). In simpler terms, p62 enhances Nrf2 protein stability, and in return, Nrf2 triggers the expression of the p62 gene, resulting in further elevations in p62 levels (140, 156, 158).

The Nrf2 gene promoter also incorporates a binding site for NF-κB, with NF-κB subunits p50 and p65 promoting the transactivation of the Nrf2 gene. This elucidates how Nrf2 can be triggered in response to inflammatory cytokines that activate NF-κb (141). Intriguingly, while NF-κB initiates Nrf2 activation, conversely, Nrf2 activation dampens NF-κB signaling, indicating a reciprocal interaction between these two pathways (159). Consequently, the inhibition of NF-κB signaling by Nrf2 may, at least in part, contribute to the anti-inflammatory function of Nrf2 activators like sulforaphane (160, 161).

The precise mechanism by which Nrf2 inhibits NF-κB signaling is not fully understood. Nonetheless, it is proposed that the activation of Nrf2 may alter the cellular redox state toward a more reduced condition facilitated by heightened antioxidant expression (141). This shift toward a more reducing environment subsequently diminishes NF-κB activation, as it is less prone to activation under such circumstances (162).

Interestingly, evidence suggests autoregulation of Nrf2 signaling through two distinct mechanisms (163). Firstly, due to ARE-like sequences in the Nrf2 gene promoter region, Nrf2 can activate its gene expression, leading to an increased production of the Nrf2 protein (164). This establishes a positive feedback loop, reinforcing Nrf2 signaling (141). Secondly, Nrf2 can also stimulate the expression of the Keap1 gene, subsequently facilitating its degradation (165). This creates a negative feedback loop, preventing excessive Nrf2 expression and maintaining controlled Nrf2 signaling (141).

To summarize, Nrf2 acts as a transcription factor, driving the expression of a range of genes crucial for cellular protection and detoxification (166). Its primary role is as an inherent defense mechanism against oxidative harm (167). Additionally, the Nrf2-ARE pathway governs an array of antioxidant enzymes and proteins tasked with detoxifying, repairing, removing damaged tissues, and alleviating inflammation (168).

In light of this, the Nrf2-ARE pathway has garnered extensive attention in neurodegenerative conditions, showcasing its protective roles against neuroinflammation (169). According to existing literature, aging is linked with significant global health challenges, particularly neurodegenerative disorders, as the body’s defenses against oxidative stress and inflammation weaken (170). As a result, the pharmacological activation of Nrf2 holds promise as a therapeutic strategy for tackling neurodegenerative disorders characterized by an overproduction of reactive oxygen species and inflammation (171, 172). Delving into the specifics, Nrf2’s mechanisms in countering neurodegeneration and neuroinflammation align with what was previously mentioned. This could potentially be attributed to its activation leading to the bolstering of antioxidant defenses, suppression of inflammation (including the transcriptional repression of proinflammatory cytokines like TNF-α, IL-1, IL6, IL-8, and monocyte chemoattractant protein-1 (MCP-1), from microglia, macrophages, monocytes, and astrocytes), improvement of mitochondrial function (which aids in safeguarding proper mitochondrial function from ROS generation and shielding cells from toxins released by mitochondria), and the maintenance of protein balance, ultimately mitigating several pathological processes implicated in neurological diseases (172175).

In neurodegenerative disorders, the activity of Nrf2-HO-1 experiences a decline (171, 176). Recent findings highlight the neuroprotective effects associated with Nrf2-mediated induction of heme oxygenase-1 (HO-1) in diverse pathological conditions such as Alzheimer’s disease, Parkinson’s disease, and others (177179). It is established that Nrf2 intricately regulates the pivotal enzyme, HO-1 (180). Given this context, encouraging strategies to address neurodegenerative disorders may involve activating Nrf2 and elevating HO-1 levels in microglia, as these approaches have demonstrated potential benefits in prior studies (175).

Various technical and methodological strategies aid investigations into Nrf2’s role in combating neuroinflammation. Specifically, Nrf2 hinders the transcription of genes responsible for proinflammatory cytokines in response to inflammation-inducing factors like LPS exposure. This characteristic lends itself well to studying Nrf2 in neuroinflammatory conditions, given that many neuroinflammation models involve LPS-induced microglial cells (175, 181, 182).

The interaction between the NF-κB and Nrf2-ARE systems, where Nrf2 activation potentially dampens NF-κB activity, has been suggested as a mechanism to counteract neurodegenerative and neuroinflammatory disorders (159, 183, 184). The idea is that by boosting the ARE-mediated function of Nrf2, it may be feasible to impede the neurodegenerative process by suppressing NF-κB’s production of ROS and the subsequent expression of redox-sensitive inflammatory mediators (175, 185).

Figure 1 illustrates the pro-neuroinflammatory potential of NF-kB and NLRP3 inflammasome activation, alongside the neuroinflammatory-suppressing impact of Nrf2.

Figure 1
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Figure 1 The pro-neuroinflammatory potential associated with the activation of NF-kB and the NLRP3 inflammasome lies in their capacity to initiate and intensify inflammatory cascades within the nervous system. These signaling pathways play pivotal roles in amplifying the inflammatory response. In contrast, Nrf2 emerges as a counteractive force, exerting a neuroinflammatory-suppressing influence. Nrf2 achieves this by finely modulating cellular responses to oxidative stress and inflammation, thus alleviating the adverse consequences commonly associated with neuroinflammation. Through its regulatory actions, Nrf2 serves as a key player in the homeostatic control of inflammatory processes in the nervous system, offering a potential avenue for therapeutic interventions aimed at mitigating neuroinflammatory disorders. The damage to neurons in Alzheimer’s disease is intricately associated with the build-up of irregular protein clusters, including beta-amyloid plaques and tau tangles. These clusters harm synapses and alter neurotransmission, resulting in inflammation and ultimately causing harm to neurons (186). The primary motor symptoms of Parkinson’s disease stem from the loss of dopaminergic neurons in the substantia nigra pars compacta (187). In multiple sclerosis (MS), inflammation is facilitated by various inflammatory cytokines generated by immune cells and local resident cells, including activated microglia. Subsequent harmful processes include the migration of activated B lymphocytes and plasma cells, which produce antibodies targeting the myelin sheath. This amplifies the immune response and ultimately leads to the inflammatory progressive loss of myelin (188).

6 JAK/STAT’s theatrical performance in neuroinflammation and its intriguing connection to the tapestry of neurological disorders

Inflammation can trigger the mobilization of immune cells, initiating the JAK/STAT pathway—a primary signaling route employed by cytokines. This pathway plays a crucial role in kickstarting innate immunity, coordinating adaptive immune mechanisms, and ultimately regulating both inflammatory and immune responses. Over 70 cytokines utilize this pathway, underscoring its significance. Notably, it holds importance in various cancers and neurological disorders. The Janus kinase (JAK) encompasses four isoforms—JAK1, JAK2, JAK3, and TYK2—while signal transducer and activator of transcription (STAT) comprises seven isoforms—STAT1, STAT2, STAT3, STAT4, STAT5A, STAT5B, and STAT6. Structurally, they share five domains: an amino-terminal domain, a carboxy-terminal transactivation domain, an SH2 domain, a DNA-binding domain, and a coiled-coil domain (189).

The STAT proteins were identified as cytoplasmic transcription factors responsible for orchestrating cellular responses to cytokines and growth factors (190). Upon ligand-receptor interaction, STAT activation ensues through the phosphorylation of a critical tyrosine residue in the STAT transactivation domain by various entities, including growth factor receptors, JAKs, SRC family kinases, and other tyrosine kinases (191, 192). This cascade triggers several events, including STAT-STAT dimerization facilitated by a reciprocal phospho-tyrosine (pTyr)-SH2 domain interaction, nuclear translocation, DNA binding, and the transcriptional induction of genes within the nucleus (189).

The conventional (canonical) JAK/STAT signaling pathway entails the interaction of the cell ligand with its receptor, leading to receptor dimerization (193). However, certain receptors like GH receptor, IL-10R, EpoR, IL-17R, TNF-R1, and gp130 can pre-form inactive receptor dimers prior to ligand binding. This pre-formation may facilitate swift assembly of the receptor complex and subsequent signal transduction (Valle-194). The binding of ligand to the receptor induces JAK transphosphorylation (195). Activated JAK, in turn, causes tyrosine phosphorylation of the bound receptor, creating a docking site for STATs (196). At this site, JAK phosphorylates STAT, leading to the dissociation of STAT from the receptor. Subsequently, STAT forms homodimers or heterodimers through SH2-domain–phosphotyrosine interactions (197). These dimers then translocate to the promoters of target genes, regulating their transcription (198). STAT typically regulates transcription through various mechanisms. Firstly, it binds to its DNA target site for transcription activation. Secondly, it forms a transcription complex with non-STAT transcription factors to initiate transcription mediated by STAT. Thirdly, it associates with non-STAT DNA-binding elements to promote STAT-dependent transcription. Fourthly, it synergistically activates transcription with non-STAT transcription factors by binding to clusters of independent DNA-binding sites (199).

Research conducted on Drosophila has revealed an unconventional pathway of JAK–STAT signaling. In contrast to the conventional signaling pathway where the latent STAT protein resides in the cytoplasm, the non-canonical pathway involves a fraction of unphosphorylated STAT localized in the nucleus, specifically on heterochromatin in association with HP1. The unphosphorylated STAT associated with heterochromatin plays a crucial role in preserving HP1 localization and ensuring the stability of heterochromatin. Phosphorylation-induced activation of STAT results in its dispersion from heterochromatin, leading to the displacement of HP1 and subsequent destabilization of heterochromatin. Notably, this process seems independent of the induction of STAT transcriptional target genes (200).

Physiological negative regulators, such as suppressors of cytokine signaling (SOCS) and protein tyrosine phosphatases (PTPs), play a crucial role in downregulating active STAT signaling (201). However, cytokines, by activating the JAK/STAT pathway, significantly influence the development, differentiation, and function of myeloid and lymphoid cells (193). The dysregulation of the JAK/STAT pathway, particularly in the activation and polarization of myeloid cells and T cells toward pathogenic phenotypes, holds pathological implications for neuroinflammatory diseases (199). The activation of microglial inflammation is also significantly impacted by the JAK/STAT pathway. Wang et al. (202) revealed that the compound FPS-ZM1 effectively hinders LPS-induced microglial inflammation by suppressing the JAK/STAT signaling pathway. FPS-ZM1, recognized as an inhibitor of the receptor for advanced glycation end products (RAGE), exhibited the capability to reduce the overproduction of IL-1β, IL-6, TNF-α, and cyclooxygenase-2 (COX-2) induced by LPS, both in BV-2 cells and primary microglial cells. Moreover, FPS-ZM1 ameliorated the proliferation and activation of microglia in the hippocampus of C57BL/6J mice challenged with LPS. Concurrently, the excessive production of pro-inflammatory cytokines IL-1β and TNF-α in the hippocampus was alleviated following FPS-ZM1 treatment. Further investigations revealed that FPS-ZM1 downregulated the LPS-induced increase in phosphorylation levels of JAK/STAT, both in vivo and in vitro. FPS-ZM1 also demonstrated the ability to inhibit the nuclear translocation of transcription factors STAT1/3/5 in BV-2 cells. Additionally, inhibiting the JAK/STAT signaling pathway independently exhibited anti-inflammatory effects similar to FPS-ZM1 treatment (203).

In AD, Chiba et al. (204) confirmed that the JAK2/STAT3 axis serves as a key mediator of the neuroprotective effects induced by humanin (HN). The Aβ-dependent deactivation of the JAK2/STAT3 axis in hippocampal neurons results in cholinergic dysfunction through both pre- and post-synaptic mechanisms, contributing to memory impairment associated with AD. Emphasizing the significance of an AD-specific neuroprotective peptide HN in mitigating AD-related neurotoxicity by activating the JAK2/STAT3 signaling axis, these researchers observed that the age- and disease-dependent decline in the JAK2/STAT3 axis plays a pivotal role in the pathogenesis of AD. Another correlation is evident in the p-STAT3 immunoreactivity observed in hippocampal neurons of young individuals compared to older normal subjects, both in humans and rodents, and the endogenous levels of insulin-like growth factor-1 activating STAT3. The levels of both p-STAT3 and insulin-like growth factor-1 decrease with aging, suggesting a potential connection to the pathogenesis of AD. Considering that disrupted STAT3 activity due to aging and the neurotoxic effects of amyloid contribute to memory impairment associated with AD, the activation of STAT3 emerges as a novel therapeutic strategy for the condition. The therapeutic mechanisms of STAT3 activation appear to involve the augmentation of cholinergic neurotransmission (205).

Varma et al. (206) documented that hydroxychloroquine (HCQ) reduces the risk of AD and related dementias while also ameliorating molecular phenotypes associated with AD. In a study involving 109,124 rheumatoid arthritis patients receiving routine clinical care, the initiation of HCQ showed a decreased risk of incident AD compared to methotrexate initiation, addressing various biases through four alternative analysis schemes. Additional research further revealed that HCQ has dose-dependent effects on late long-term potentiation (LTP), rescuing impaired hippocampal synaptic plasticity before significant amyloid plaque accumulation and neurodegeneration in APP/PS1 mice. Moreover, HCQ treatment enhanced microglial clearance of Aβ1-42, reduced neuroinflammation, and diminished tau phosphorylation in cell culture-based phenotypic assays. Notably, the study demonstrated that HCQ inactivates STAT3 in microglia, neurons, and astrocytes, suggesting a plausible mechanism associated with its observed effects on AD pathogenesis.

Qin et al. (207) discovered that blocking the JAK/STAT pathway provides protection against α-synuclein-induced neuroinflammation and dopaminergic neurodegeneration. In vitro, exposure to α-synuclein activated the JAK/STAT pathway in microglia and macrophages. Treatment with AZD1480, a JAK1/2 inhibitor, effectively restrained α-synuclein-induced major histocompatibility complex class II and inflammatory gene expression by reducing the activation of STAT1 and STAT3 in microglia and macrophages. In their in vivo investigations, the researchers employed a rat model of Parkinson’s Disease (PD) induced by viral overexpression of α-synuclein. AZD1480 treatment curbed α-synuclein-induced neuroinflammation by suppressing microglial activation, infiltration of macrophages and CD4(+) T-cells, and the production of proinflammatory cytokines/chemokines. The substantia nigra of rats with α-synuclein overexpression exhibited heightened expression of numerous genes related to cell-cell signaling, nervous system development and function, inflammatory diseases/processes, and neurological diseases. Remarkably, these effects were mitigated upon treatment with AZD1480. Notably, inhibition of the JAK/STAT pathway played a crucial role in preventing the degeneration of dopaminergic neurons in vivo. Khera et al. (208) reviewed the preventive roles of modulators targeting JAK-STAT and PPAR-Gamma signaling in autism and neurological dysfunctions. JAK activation induces the phosphorylation of STAT3 in astrocytes and microglia, a process associated with mitochondrial damage, apoptosis, neuroinflammation, reactive astrogliosis, and genetic mutations. Acting as a regulator within the context of JAK-STAT signaling, PPAR-gamma plays a crucial role in preventing such phosphorylation, thereby contributing to the treatment of the mentioned neurological complications.

Shao et al. (209) documented that inhibiting JAK ameliorated experimental autoimmune encephalomyelitis by interrupting the GM-CSF-driven inflammatory characteristics of monocytes. JAK inhibition hindered the infiltration of C-C chemokine receptor type 2 (CCR2)-dependent Ly6Chi monocytes and monocyte-derived dendritic cells into the CNS in experimental autoimmune encephalomyelitis (EAE) mice. Concurrently, JAK inhibition reduced the proportion of GM-CSF+CD4+ T cells and the secretion of GM-CSF in pathological Th17 cells. This, in turn, transformed CNS-invading monocytes into antigen-presenting cells, contributing to the mediation of tissue damage. In a separate in vivo investigation, Chen et al. (210) utilized a mouse model of EAE to assess the mitigating effects of magnolol on myeloencephalitis. Using in vitro methods, a fluorescence-activated cell sorting (FACS) assay was employed to examine the impact of magnolol on the differentiation of Th17 and Treg cells, as well as the expression of IL-17A. The in vivo results demonstrated that magnolol alleviated the loss of body weight and the severity of EAE in mice. It also improved spinal cord lesions, reduced CD45 infiltration, and lowered serum cytokine levels. Correspondingly, magnolol exhibited a focus on inhibiting Th17 differentiation and IL-17A expression in the splenocytes of EAE mice. Furthermore, magnolol selectively inhibited p-STAT3 and p-STAT4 in both CD4+ and CD8+ T cells in the splenocytes of EAE mice. The in vitro experiments revealed that magnolol selectively hindered Th17 differentiation and IL-17A expression without affecting Treg cells. A network pharmacology-based study suggested that magnolol might diminish Th17 cell differentiation by regulating STAT family members. Western blotting confirmed that magnolol inhibited p-JAK2 and selectively counteracted p-STAT3 while slightly decreasing p-STAT4. Magnolol also antagonized both the nuclear location and transcription activity of STAT3. High-affinity binding between magnolol and STAT3 was observed, with the specific binding site potentially located at the SH2 domain. Additionally, the overexpression of STAT3 resulted in the failure of magnolol to inhibit IL-17A.

7 The dramatic influence of Toll-like receptors on neuroinflammation and their intriguing links to the complex landscape of neurological disorders

TLRs form a crucial receptor family constituting the primary defense line against microbes (211). They can identify invading pathogens as well as endogenous danger molecules released from dying cells and damaged tissues, playing a pivotal role in bridging innate and adaptive immunity (212). TLRs are widely distributed across immune and other body cells, with their expressions and locations regulated in response to specific molecules from pathogens or damaged host cells (213). Ligand binding to TLR activates distinct intracellular signaling cascades, initiating host defense reactions (214). This binding is ligand-dependent and cell type-dependent, resulting in the production of pro-inflammatory cytokines and type 1 interferon (215). The TLR-dependent signaling pathways are rigorously controlled during innate immune responses by various negative regulators (216). Excessive TLR activation can disrupt immune homeostasis, increasing the risk of inflammatory diseases and autoimmune disorders. Consequently, antagonists and inhibitors targeting TLR signaling pathways have emerged as novel therapeutics for the treatment of these diseases (217).

TLRs belong to the category of type I integral transmembrane proteins, typically composed of three domains (218). These include an N-terminal domain (NTD) situated externally to the membrane, a transmembrane domain with a single helix spanning the membrane, and a C-terminal domain (CTD) positioned toward the cytoplasm. The N-terminal domain functions as an ectodomain, serving as the site for ligand recognition of various PAMPs. Meanwhile, the CTD participates in interactions with various signal transduction adaptors, initiating downstream signaling through its toll-IL-1 receptor (TIR) homologous domain (219). The ectodomain exhibits a folded solenoid structure (resembling a horseshoe) containing highly conserved short tandem leucine-rich repeat LRR motifs (220). These LRR motifs, with a sequence pattern of xLxxLxLxx, provide essential specificity and recognizability to TLRs for principally PAMPs (221). Each LRR repeat sequence of the TLRs consists of 24-29 amino acids (222). Additionally, the NTD contains glycan moieties that serve as the actual binding sites for various ligands derived from pathogens (223). The interaction between ligands and TLR initiates specific intracellular downstream signaling cascades, triggering host defense reactions. These interactions between PAMPs and PRRs produce pro-inflammatory cytokines and type 1 interferon, guiding immune responses. TLR signaling is contingent on the stimulus nature, the activated TLR, and the downstream adaptor molecule. There are at least two distinct pathways in TLR signaling: the myeloid differentiation primary response 88 (MyD88)-dependent pathway, which is employed by all TLRs except TLR3, leading to the generation of inflammatory cytokines, and the TIR-domain-containing adapter-inducing interferon (TRIF)-dependent pathway, which is utilized by TLR3 and 4 and is associated with the stimulation of interferon type-1 (213).

TLRs exhibit broad expression within the CNS and fulfill diverse roles in either cell survival or cell death processes. Numerous studies have indicated the presence of TLRs in various cell types within the CNS, including neurons, microglia, astrocytes, oligodendrocytes, and neural stem cells (224). The interaction between ligands and TLR initiates specific intracellular downstream signaling cascades, triggering host defense reactions. These interactions between PAMPs and PRRs produce pro-inflammatory cytokines and type 1 interferon, guiding immune responses. TLR signaling is contingent on the stimulus nature, the activated TLR, and the downstream adaptor molecule. There are at least two distinct pathways in TLR signaling: the MyD88-dependent pathway, which is employed by all TLRs except TLR3, leading to the generation of inflammatory cytokines, and the TRIF-dependent pathway, which is utilized by TLR3 and 4 and is associated with the stimulation of interferon type-1 (213). TLR2 is a prominent member among TLRs within the CNS. An examination of its immunoreactivity in the neurogenic regions of the adult brain has uncovered its presence on cells in both the subgranular zone (SGZ) of the hippocampal dentate gyrus (DG) and the subventricular zone (SVZ) of the lateral ventricles associated with neurogenesis (225).

The activity of TLRs is associated with several neurodegenerative diseases, including stroke, amyotrophic lateral sclerosis (ALS), PD, and AD. TLRs are expressed in various cell types, such as neurons and glia, where they recognize DAMPs released by undifferentiated or necrotic cells (225). Microglia exhibit the expression of all TLRs and their adapter proteins, as evidenced in mice, rats, and humans. This includes TLR1 and TLR6, TLR2, TLR3, TLR5, TLR7, TLR8, TLR4, and TLR9. The constitutive expression of TLRs is primarily observed in microglia and is predominantly confined to the circumventricular organs (CVOs) and meninges—areas with direct access to the circulation. While there may be lower expression levels in other regions, different stimuli, such as hypoxia, LPS, kainic acid, α-synuclein, and Aβ, can lead to increased expression of TLRs in microglia (224). In AD, Aβ triggers the activation of Toll-like receptor 4 (TLR4) in microglia. TLR4 activation initiates downstream signaling pathways, producing these cytokines, which, in turn, activate astrocytes and influence amyloid-dependent neuronal death. Consequently, by modulating neuroinflammation, TLR4 emerges as a significant molecular target for potential AD treatment (226).

Researchers have also contemplated the potential engagement of TLRs in PD. While the exact mechanism by which TLRs contribute to neuroinflammation in PD remains unclear, specific theories suggest their potential role in recognizing α-synuclein aggregates as DAMPs. This recognition could initiate proinflammatory downstream pathways, thereby contributing to the development of neuroinflammation (227). In this scenario, da Silva et al. (228) reported that in PD, there is a deficiency in the immune responses of blood leukocytes to TLR2 and TLR7/8. Twenty-one individuals with PD and 21 healthy controls were enlisted for the study. Patient assessments were conducted using the Unified PD Rating Scale and the Hoehn and Yahr stage. Cytokine levels were quantified in supernatants from whole blood cultures following incubation with TLR2, TLR4, or TLR7/8 agonists using cytometric bead array. Additionally, cytometry was employed to analyze the expression of CD14, CD16, TLR2, and TLR4. Blood cells from patients exhibited reduced cytokine levels in response to TLR2 and TLR7/8/R848 activation compared to controls. The proportions of CD14+CD16+ and CD14+CD16- monocytes and the expression of TLR2 and TLR4 were comparable between patients and controls. The findings were not linked to an imbalance in monocyte subsets or altered TLR2/TLR4 expression in these cells.

TLRs are pivotal in the development of MS. Bsibsi et al. (229) examined the expression of TLR3 and TLR4 through immunohistochemical analysis of brain and spinal cord sections obtained from both control subjects and individuals with multiple sclerosis. The results unveiled heightened expression of TLR in inflamed CNS tissues. Hossain et al. (230) conveyed that the levels of the soluble form of TLR-2 are increased in the serum of individuals with MS, suggesting a potential novel biomarker for the disease. Ferreira et al. (231) indicated that various subsets of TLR-positive T-cells secreting IL-17 are linked to disease activity in MS. Within diverse IL-17+ T-cell profiles, the percentage of IL-17+ TLR+ CD4+ and CD8+ T-cells, generating interferon (IFN)-γ or IL-6, exhibited a positive correlation with both the quantity of active brain lesions and neurological impairments. Furthermore, stimulation of purified CD4+ and CD8+ T-cells with TLR ligands, specifically TLR-2 (Pam3Csk4), TLR-9 (oligodeoxynucleotide [ODN]), and TLR-4 (LPS), directly triggered cytokine production in the patients with MS. Among the various TLR ligands, Pam3Csk4 demonstrated greater potency than other TLR ligands in inducing the production of proinflammatory cytokines. Additionally, levels of IL-6, IFN-γ, IL-17, and granulocyte-macrophage colony-stimulating factor (GM-CSF) produced by Pam3Csk4-activated CD4+ cells were directly correlated with disease activity. Nyirenda et al. (232) reported that stimulation of TLR2 regulates the equilibrium between regulatory T cell and Th17 function, presenting a novel mechanism for the diminished regulatory T cell function in MS patients. CD4(+)CD25(hi) FOXP3(+) regulatory T cells (Tregs) play a crucial role in maintaining self-antigen tolerance, and their impaired function contributes to the pathogenesis of MS. In this experiment, Tregs derived from MS patients exhibit elevated levels of TLR2 compared to those from healthy individuals. Stimulation with the synthetic lipopeptide Pam3Cys, an agonist of TLR1/2, diminished Treg function and promoted Th17 skewing more significantly in MS patient samples than in healthy controls.

8 Navigating the course of neuroinflammation and microglial activation: insights into multiple sclerosis, Alzheimer’s disease, and Parkinson’s disease

Microglia, crucial cells within the CNS, have their origins in the yolk sac and undergo a differentiation process regulated by interferon regulatory factor 8 (IRF8) and the transcription factor PU.1 (233). Their continued existence relies on the signaling of the colony-stimulating factor 1 (CSF1) receptor (234). These microglial cells are pivotal in CNS development and regulating higher cognitive functions. They also maintain the balance of the CNS microenvironment by engulfing deceased cells, cellular debris, and misfolded proteins (235). Besides, proliferating reactive microglia gather in areas characterized by elevated concentrations of apoptotic neurons, functioning as phagocytes to facilitate neuronal turnover in the context of developmental cell death. Additionally, they play a role in regulating synaptic function (236).

Microglia and macrophages are categorized into two distinct phenotypes with opposing functions: M1 and M2 (237). M1 microglia predominantly stimulates the production of nitric oxide synthase 2 (iNOS/NOS2) through upregulating interferon-γ. Consequently, this correlates with the generation of nitric oxide (NO) (238). Additionally, they release various chemokines and inflammatory factors (IL-12, IL-6, IL-1β, CCL2, TNF-α) through the MAPK and NF-κB pathways. They also express costimulatory molecules (CD36, CD47, CD45), integrins (CD11b, CD11c), major histocompatibility complex II (MHC II), and Fc receptors (235, 239). Conversely, M2 microglia secrete an array of anti-inflammatory factors, such as IL-4 and IL-13, along with growth factors and neurotrophic factors like glial cell-derived neurotrophic factor (GDNF) and brain-derived neurotrophic factor (BDNF). These factors aid in alleviating neuro-inflammatory responses and provide overall neuroprotection (240242).

Besides, recent findings offer evidence for the presence of potential microglial subtypes characterized by distinct genomic, spatial, morphological, and functional features. While microglia are distributed ubiquitously throughout the CNS, their presence varies across regions and between the white and gray matter. The morphology of microglia differs based on the proximity of neuronal cell bodies, dendrites, axons, myelinated axons, and blood vessels. Additionally, under normal physiological conditions and in response to stimuli such as LPS challenge, microglia exhibit regional variations in self-renewal and turnover rates. It has been demonstrated that the regional microenvironment plays a crucial role in determining microglial identity at the transcriptional level in both mice and humans (243). Aligned with the pronounced microglia’s spatial organization observed in the CNS, the majority of CNS diseases exhibit a distinct regional distribution. While microglia have been recognized as crucial contributors to various CNS diseases, it remains uncertain whether microglia exhibit properties specific to particular regions in the context of neurodegenerative diseases.

Several investigations have explored the polarization responses of microglia concerning aging. Recent findings revealed an age-dependent increase in transcript and protein levels of M1 markers (TNFα and IL-1β) and a contrasting trend in the expression of M2 markers (Arg1 and IL-10). This observed rise in the M1/M2 marker ratio also correlated with age-related dopaminergic (DA) neuronal loss. Additionally, a decline in the M2-like phenotype, characterized by suppressed anti-inflammatory IL-4/IL-13 signaling, was observed in aging mice. Aging-related changes were further underscored by increased M1-like microglial responses, including the upregulation of TLRs, various activation markers (MHCII, CD68, and CD86), and inflammatory receptors specific to microglia/macrophages such as CD11b. These alterations are evident not only in the brains of aged rodents but also in canines, humans, and non-human primates. These findings suggest that microglia in aging individuals tend to exhibit a predominant M1-like phenotype associated with neurotoxic responses (244, 245).

The presence of reactive microglia in the aged brain has also been linked to the age-related decline in inherent regulatory pathways within microglia. Zöller et al. (246) provided evidence that the silencing of transforming growth factor β (TGFβ) signaling in microglia leads to impaired homeostasis. Interestingly, the deletion of transforming growth factor, beta receptor 2 (Tgfbr2) in adult postnatal microglia does not result in the impairment of microglia-specific gene expression signatures, nor does it affect microglial survival and maintenance. However, Tgfbr2-deficient microglia exhibit distinctive morphological changes. Transcriptome analysis using RNAseq revealed that the loss of TGFβ signaling leads to the upregulation of markers associated with microglial activation and priming. Additionally, protein arrays demonstrated increased secretion of C-X-C motif chemokine ligand 10 (CXCL10) and C-C motif chemokine ligand 2 (CCL2), accompanied by the activation of immune cell signaling, as evidenced by an increase in the phosphorylation of tat-associated kinase 1 (TAK1). In a similar context, Tichauer et al. (247) noted that the activation of the TGFβ1-Smad3 pathway is compromised during the aging process. The authors also highlighted that the age-related dysfunction in the TGFβ1-Smad3 pathway may diminish protective activation while promoting cytotoxic activation of microglia, thereby intensifying microglia-mediated neurodegeneration. TGFβ1 influenced the stimulation of NO and ROS production in young and adult microglia, respectively. This modulation was, to some extent, reliant on the mothers against decapentaplegic homolog 3 (Smad3) pathway and was hindered by inflammatory preconditioning. In microglia cultures from young mice, inflammation and TGFβ1 prompted phagocytosis, while TGFβ1-induced phagocytosis was also hindered by Smad3 inhibition.

Hammond et al. (248) conducted single-cell RNA sequencing on microglia across the lifespan of mice and in the context of brain injury, revealing intricate changes in cell states. Their primary discovery involved identifying a subset of microglia characterized by the selective expression of the chemokine Ccl4. These microglia were initially present in limited numbers during development but undergo expansion in two specific contexts: aging and injury. While the role of inflammatory molecules in the brain has been extensively studied, with previous assumptions based largely on in vitro research suggesting microglia as a major source of these factors, the researchers found that the only microglia enriched for inflammatory signals belonged to Cluster 8/Cluster OA2/Cluster IR2.2, IR2.3. This subset expressed Ccl3, Ccl2, Ccl7, Ccl9, Ccl12, Il1b, and Tnf. Given the rarity of this small subpopulation throughout the mouse lifespan, it is plausible that they constitute a specialized group uniquely primed for generating an inflammatory response. Notably, many of the signals expressed in this subpopulation have the potential to cause significant damage to the brain.

Griciuc et al. (249) revealed that the receptors CD33 and triggering receptor expressed on myeloid cells 2 (TREM2) in microglia have been linked to AD risk. Investigating the interplay between CD33 and TREM2, the researchers found that knocking out CD33 mitigated Aβ pathology and enhanced cognition in 5xFAD mice. However, these improvements were negated by additional knockout of TREM2. Conversely, when TREM2 was knocked out in 5xFAD mice, it exacerbated Aβ pathology and neurodegeneration but reduced the numbers of Iba1+ cells. Importantly, the additional knockout of CD33 did not rescue these effects. RNA-seq profiling of microglia indicated an upregulation of genes related to phagocytosis and signaling (IL-6, IL-8, acute phase response) in 5xFAD;CD33-/- mice and a downregulation in 5xFAD;TREM2-/- mice. The differential gene expression in 5xFAD;CD33-/- microglia was dependent on the presence of TREM2, suggesting that TREM2 acts downstream of CD33.

In Pulido-Salgado et al.’s (250) experiment, murine primary microglial cultures were subjected to a 6-hour treatment with LPS or LPS + IFNγ, followed by RNA-Sequencing analysis. Utilizing weighted gene co-expression network analysis (WGCNA), the researchers identified 11 distinct expression profiles that revealed varied responses to LPS and LPS + IFNγ across numerous genes. Notably, a subset of genes associated with PD, AD, and Huntington’s disease exhibited downregulation under both treatments. DESeq analysis further confirmed LPS and LPS + IFNγ as inducers of microglial pro-inflammatory responses while highlighting their involvement in specific cellular functions. Under LPS treatment, microglia demonstrated a propensity for increased proliferation, pro-inflammatory activity, and phagocytosis. Conversely, LPS + IFNγ treatment led to the inhibition of genes associated with pain, cell division, and unexpectedly, the production of certain inflammatory mediators. In summary, this study provides a comprehensive exploration of the transcriptome of primary microglial cultures treated with LPS and LPS + IFNγ, offering insights into their distinct effects on microglial gene expression and cellular functions.

Through comprehensive RNA-seq analysis encompassing AD, ALS, and aging, a novel and infrequent microglial subset known as Disease-Associated Microglia (DAM) was identified and found to be conserved in both mice and humans. Molecularly, DAM are characterized as immune cells expressing conventional microglial markers, namely Iba1, Hexb, and Cst3, concomitant with the downregulation of “homeostatic” microglial genes, including purinergic receptor P2Y (P2ry) 12, CX3C motif chemokine receptor 1 (Cx3cr1), transmembrane protein 119 (Tmem119), CD33, and P2ry13. Additionally, DAM exhibit an upregulation of genes associated with lysosomal, phagocytic, and lipid metabolism pathways, including several well-known AD risk factors such as cathepsin D (CtsD), Trem2, TYRO protein tyrosine kinase-binding protein (Tyrobp), lipoprotein lipase (Lpl), and apolipoprotein E (ApoE). Initially identified in a mouse model of AD expressing five human familial AD mutations (5XFAD), DAM characteristics have been subsequently validated in other Aβ AD mouse models, including PS2APP and APP/PS1. Crucially, DAM were primarily observed in CNS regions affected by the disease and not in other unaffected regions (251). Moreover, the analysis of Trem2–/– × 5XFAD mice revealed that the transformation of homeostatic microglia into DAM is a gradual process occurring through two sequential yet distinct stages. The first stage, termed DAM1, is TREM2-independent and involves the activation of Tyrobp, B2-microglobulin (B2m), and Apoe, along with the downregulation of microglia checkpoint genes (such as Cx3cr1 and P2ry12/P2ry13). Subsequently, the second stage, DAM2, is TREM2-dependent and includes the upregulation of phagocytic and lipid metabolism genes (such as CD9, Lpl, and Cst7) (252).

Two hypotheses have been proposed regarding how TREM2 signaling contributes to the phenotypic transition from stage 1 to stage 2 DAM. First, TREM2 may uphold the activation of microglia induced by other receptors during stage 1. Second, TREM2 signaling could kickstart a transcriptional program specific to stage 2. Recent data lean toward the first hypothesis, indicating that TREM2’s pro-proliferative and pro-survival functions through phosphoinositide 3-kinase (PI-3K), β-catenin, and mechanistic target of rapamycin (mTOR) pathways suggest its role in sustaining microglial activation and survival, rather than triggering additional transcriptional programs. However, further studies are necessary to unravel the precise mechanisms governing DAM regulation (251, 253255).

MS is a noteworthy neurodegenerative and neuroinflammatory condition that demands attention. In the initial stages of MS development, roughly 40% of the initial phagocytic cells are microglia, identifiable by the TMEM119 marker, specific to microglia and distinct from macrophages (256). As the lesion progresses, peripheral macrophages are recruited more frequently (257). Within an active lesion, virtually none of the microglial cells are in a homeostatic state, as evidenced by the absence of P2RY12, a receptor unique to the ramified microglial processes seen in the resting state (258260). Clusters of activated microglia are present in the typical white matter of MS patients (261). However, previous studies have shown conflicting results regarding the expression of P2RY12 in these clusters (260, 262). This leads to the conclusion that the heterogeneity of microglial phenotypes, previously observed in mice, is also apparent in progressive MS patients, with upregulated genes involved in lipid processing in the white matter and iron homeostasis in the gray matter (263). The metabolic alterations in microglia reflect MS physiopathology, even in the absence of demyelinating lesions, underscoring the distinct inflammatory processes in white and gray matter in MS (264, 265). Indeed, active demyelination is associated with a proinflammatory microglia phenotype, characterized by p22phox, CD68, CD86, and MHC II antigens. In contrast, anti-inflammatory markers like CD206, CD163, and ferritin are most prominent in the center of inactive lesions (266, 267).

Conversely, microglia’s internalization of myelin in various animal models triggers a pro-regenerative phenotype marked by arginase-1, CD206, and insulin-like growth factor-1 (IGF-1), facilitating oligodendrocyte differentiation and remyelination (268, 269). Objectively, the average human brain microglia exhibit an intermediate activation state (presence of CD68 and reduced P2RY12), differing from the homeostatic state seen in animal models (256, 270). This implies potential variations in microglial behavior between humans and other species, which may be attributed to higher levels of systemic inflammation (260). Recent research emphasizes that demyelination is an even more intricate scenario than previous studies indicated. For instance, contemporary literature underscores the potential of microglia in regulating BMP-4, which might impede remyelination, and its antagonist, noggin, which is more highly expressed in areas of remyelinated lesions (271273). Recent discoveries indicate that genes associated with MS susceptibility are more frequently linked to microglial function than neurons or astrocytes, signifying a significant role for microglia in MS pathogenesis (274). However, mutations in the CSF1-receptor (CSF1R) gene, a pivotal microglial-specific gene associated with other leukoencephalopathies, have not been correlated with MS pathology, as no relevant mutations were identified in CSF1R sequencing studies of MS patients (275278).

In AD, the most prevalent form of dementia, cognitive dysfunction arises not directly from Aβ, but rather from the accumulation of Tau and alterations in synaptic density within the hippocampus (279). However, emerging research suggests that soluble ß oligomers in AD’s pathophysiology interact with neuronal synapses, modifying their structure, composition, and density. This leads to cognitive impairments and enduring neurological deficits (186, 280). Despite progress in understanding this intricate scenario in recent years, the exact roles of microglia in AD remain partially elucidated (281). Studies using animal models of AD have demonstrated that microglial cells undergo changes in the early stages and progression of the disease, including diminished branching and protrusion, along with heightened expression of proinflammatory factors (282285). This compromises the microglia’s capacity to survey the neuronal environment, causing them to shrink gradually, resulting in severe impairments and a decline in cognitive function (235).

Conversely, while the general risk of inflammatory diseases may not heavily impact age-related cognitive decline, functional susceptibility factors such as genetics seem to exert a more substantial influence. They play a role in determining the quantity of microglia during the aging process of the nervous system’s immune system and in regulating the expression of immune-inflammatory genes within cells of the central nervous system (286288). Several other factors may be associated with microglia activation in the context of the progression of AD. In cases of late-onset AD, a notable surge in progranulin (PGRN) levels in cerebrospinal fluid has been linked to severe cognitive decline. This elevation in PGRN is correlated with heightened levels of soluble TREM2 (sTREM2) in cerebrospinal fluid, suggesting a potential involvement of serum sTREM2 in microglial activation (289, 290). Notably, the absence or reduction of receptors like signal regulatory protein α (SIRPα) and cannabinoid receptor 1 (CB1) on microglia, as well as the receptor CD2000 on neurons, can lead to an increased loss of synapses and cognitive impairment mediated by microglia and phagocytosis (291294). Additionally, fibrin derived from the bloodstream can harm synapses through the CD11b/CD18 receptors on microglia, contributing to cognitive impairment through CD11b/CD18-mediated microglial activation (194, 295).

Autophagy, a cellular process conserved throughout evolution and dependent on lysosomes in eukaryotes, is intricately connected to regulating protein metabolism. This mechanism involves degrading and subsequently recycling damaged organelles and misfolded proteins to preserve protein homeostasis. Increasing evidence indicates that compromised autophagy plays a role in contributing to the development of AD (241). Autophagy is a pivotal regulator in generating and clearing Aβ (296). Aβ peptides form during the autophagic turnover of amyloid precursor protein (APP) within autophagosomes, where APP undergoes cleavage (297). In AD, impediments arise in the maturation of autophagolysosomes—autophagosomes that have fused with lysosomes—and their retrograde passage toward the neuronal body. This hindrance leads to a significant accumulation of autophagic vacuoles in neurons, potentially linked to dysfunction in the endosomal sorting complexes for transport-III (ESCRT-III) complex. Such malfunction is associated with neurodegeneration and can disrupt the fusion of autophagosomes with the endolysosomal system, impacting autophagosome maturation. Two pathways exist for the disposal of Aβ peptides. Firstly, they can undergo degradation facilitated by various Aβ-degrading proteases, including beta-secretase 1 (BACE1) and CTSD. Secondly, Aβ peptides may amass in autophagosomes within dystrophic neurites, the primary constituents of neuritic senile plaques in AD, becoming integrated into the primary intracellular reservoir of toxic peptides. This latter recycling path of Aβ peptides is particularly prevalent in the brains of individuals afflicted with AD (298).

Luo et al. (299) observed that activating peroxisome proliferator-activated receptor alpha (PPARA)-mediated autophagy effectively reduces AD-like pathology and cognitive decline in a murine model. PPARA, also known as PPARα, serves as a transcription factor regulating genes involved in fatty acid metabolism and hepatic autophagy activation. The study revealed that pharmacologically activating PPARA with the agonists gemfibrozil and Wy14643 induces autophagy in human microglia cells and U251 human glioma cells expressing the human APP mutant (APP-p.M671L), and this induction is PPARA-dependent. The administration of PPARA agonists resulted in decreased amyloid pathology and the reversal of memory deficits and anxiety symptoms in APP-PSEN1ΔE9 mice. There was a notable reduction in soluble Aβ and insoluble Aβ levels in hippocampus and cortex tissues from APP-PSEN1ΔE9 mice after treatment with either gemfibrozil or Wy14643. Additionally, this treatment promoted the recruitment of microglia and astrocytes to the vicinity of Aβ plaques and enhanced autophagosome biogenesis.

Wani et al. (300) documented that crocetin, a bioactive component derived from the flower stigmas of Crocus sativus, facilitates the elimination of Aβ by triggering autophagy through the serine/threonine kinase 11 (STK11)/liver kinase B1 (LKB1)-mediated adenosine monophosphate-activated protein kinase (AMPK) pathway. Furthermore, crocetin exhibited the ability to traverse the blood-brain barrier and induce autophagy in the hippocampi of the brains of wild-type male C57BL/6 mice. Subsequent investigations in transgenic male 5XFAD mice, serving as an AD model, also revealed that a one-month treatment with crocetin significantly diminished Aβ levels and mitigated neuroinflammation in the mice brains. This treatment also improved memory function by triggering autophagy mediated by the activation of the AMPK pathway.

Chen et al. (301) discovered that alleviating AD is possible by inhibiting miR-331-3p and miR-9-5p to enhance autophagy. The biphasic alterations in microRNA levels were derived from RNA-seq data and validated through real time quantitative polymerase chain reaction (qRT-PCR) in early-stage (6 months) and late-stage (12 months) APPswe/PS1dE9 mice, referred to as AD mice. AD progression was assessed by analyzing Aβ levels, neuron numbers, and activated microglia (CD68+IBA1+) in brain tissues using immunohistological and immunofluorescent staining. The autophagic activity was determined by testing messenger RNA (mRNA) and protein levels of autophagy-associated genes (Becn1, Sqstm1, and LC3b). Morris water maze and object location tests were employed to evaluate memory and learning post-antagomir treatments in AD mice, with assessed Aβ levels in brain tissues. MiR-331-3p and miR-9-5p were found to be down-regulated in the early stage of AD mice and up-regulated in the late stage. The study demonstrated that miR-331-3p and miR-9-5p target autophagy receptors Sqstm1 and Optineurin Optn, respectively. Overexpression of these microRNAs in the SH-SY5Y cell line impaired autophagic activity and promoted the formation of amyloid plaques. Furthermore, late-stage treatment of AD mice with miR-331-3p and miR-9-5p antagomirs resulted in enhanced Aβ clearance, improved cognition, and increased mobility.

Besides, several studies have underscored the crucial involvement of dysregulated metabolism in the pathogenesis of AD. Metabolic changes in the aging brain, including dysregulation in glucose metabolism, dysfunction in glycolysis, disruptions in the tricarboxylic acid cycle, deficits in oxidative phosphorylation, and impairment in the pentose phosphate pathway (PPP), may be interconnected with the development of AD (302). Demarest et al. (303) employed a cross-species methodology to assess conserved metabolic modifications in the serum and brain of human subjects with AD, two AD mouse models, a human cell line, and two Caenorhabditis elegans strains with AD characteristics. The authors identified a specific impairment in mitochondrial complex I in cortical synaptic brain mitochondria of female AD mice, while no such impairment was observed in male AD mice. In the hippocampus, synaptic complex I impairment occurred in male and female mice with Polβ haploinsufficiency, underscoring the essential role of DNA repair in mitochondrial function. In non-synaptic, glial-enriched mitochondria from the cortex and hippocampus, there was an increase in complex II-dependent respiration in female AD mice but not in males. These findings suggested a glial upregulation of fatty acid metabolism, potentially compensating for neuronal glucose hypometabolism in AD. Utilizing an unbiased metabolomics approach, the study consistently identified systemic and brain metabolic remodeling evidence, indicating a transition from glucose to lipid metabolism in human AD subjects and AD mice. The authors also established that this metabolic shift is crucial for survival in C. elegans and human cell culture AD models. One of the most notable metabolite changes observed in AD was the accumulation of glucose-6-phosphate, an hexokinase inhibitor and a rate-limiting metabolite for the PPP.

Tang et al. (304) also validated the neuroprotective role of glucose-6-phosphate dehydrogenase (G6PD) and the pentose phosphate pathway. G6PD, the crucial enzyme that directs glucose breakdown from glycolysis into the PPP, is vital in generating reduced nicotinamide adenine dinucleotide phosphate (NADPH) within cells. NADPH, in turn, serves as a substrate for glutathione reductase, facilitating the conversion of oxidized glutathione disulfide to sulfhydryl glutathione. Widely recognized for its involvement in inherited deficiencies leading to acute hemolytic anemia triggered by heightened oxidative stress from food or medication, G6PD, and PPP activation have been linked to neuroprotection. Studies conducted in Drosophila models revealed that an increased PPP flux due to G6PD induction resulted in enhanced proteostasis and extended lifespan, a phenomenon replicated by transgenic overexpression of G6PD in neurons. Additionally, moderate transgenic expression of G6PD demonstrated improvements in health span in mice. In summary, Increasing G6PD levels offers the advantage of autonomous NADPH production within cells, ensuring the preservation of neurons’ glutathione (GSH) levels. This mechanism serves as a protective measure against both acute and chronic oxidative stresses. Thus, the activation of G6PD, coupled with selective inhibition of NADPH oxidase (NOX) activity, holds promise as a viable neuroprotective strategy for addressing brain injury, diseases, and aging.

Epis et al. (305) reported on the modulatory impact of acetyl-L-carnitine (ALC) on APP metabolism in hippocampal neurons. Despite demonstrating positive effects on AD in double-blind controlled studies, the precise mechanisms underlying its neuroprotective properties remained incompletely understood. This investigation delved into the influence of acetyl-L-carnitine on APP metabolism using in vitro models, including a neuroblastoma cell line and primary hippocampal cultures. The study revealed that ALC treatment enhanced alpha-secretase activity and promoted physiological APP metabolism. Notably, ALC facilitated the delivery of disintegrin and metalloproteinase domain-containing protein 10 (ADAM10), a disintegrin, to the post-synaptic compartment, thereby positively modulating its enzymatic activity toward APP. Consequently, ALC has the potential to directly impact the pivotal event in AD pathogenesis, the Aβ cascade, by fostering alpha-secretase activity and influencing the release of the non-amyloidogenic metabolite.

Bielarczyk et al. (306) documented that AβPP-transgenic 2576 mice mimic cell type-specific aspects of acetyl-coa-linked metabolic deficiencies in AD. In the brains of aged Tg2576 mice (14-16 months old), amyloid-β1-42 levels reached 0.6 μmol/kg. The activities of the pyruvate dehydrogenase complex, choline acetyltransferase, and various enzymes involved in acetyl-CoA and energy metabolism remained unchanged in both forebrain mitochondria and synaptosomes of Tg2576 mice, suggesting the preservation of structural integrity, particularly in cholinergic neuronal cells. Nevertheless, transgenic brain synaptosomes exhibited a 25-40% decrease in pyruvate utilization, mitochondrial and cytoplasmic acetyl-CoA levels, acetylcholine content, and quantal release. Conversely, whole brain mitochondria in transgenic mice showed activation of pyruvate utilization, with no alterations in acetyl-CoA content, citrate, or α-ketoglutarate accumulation. These findings indicate that Aβ-induced deficits in acetyl-CoA are localized to mitochondrial and cytoplasmic compartments of Tg2576 nerve terminals, serving as early primary signals in the progression of neurodegeneration. Conversely, acetyl-CoA synthesis in the mitochondrial compartments of glial cells appears to be activated despite accumulated Aβ in transgenic brains.

Microglia use glycolysis and oxidative phosphorylation (OXPHOS) to meet their energy demands. In their resting state, microglia predominantly rely on OXPHOS to generate ATP. However, microglia undergo a metabolic shift upon activation, transitioning from OXPHOS to glycolysis. This alteration in metabolic phenotype has been observed in different neurodegenerative disorders, including PD and AD. Recent investigations have revealed an augmented glucose uptake in microglia in AD in both AD mice and patients. This metabolic state is positively correlated with the degree of neuroinflammation. Moreover, a significant elevation in lactate levels within microglia derived from a transgenic AD mouse model (5XFAD) was observed. This finding suggests that the intensified glycolytic activity in microglia contributes to the disruption of lactate metabolism in AD (307). Following the initial identification of heightened histone lactylation in brain samples from both 5XFAD mice and individuals with AD, Pan et al. (308) observed an elevation in H4K12la levels, specifically within microglia adjacent to Aβ plaques. This lactate-dependent modification of histones is concentrated at the promoters of glycolytic genes, activating transcription and consequently amplifying glycolytic activity. Ultimately, this creates a positive feedback loop involving glycolysis, H4K12la, and PKM2, exacerbating microglial dysfunction in AD. Pharmacological inhibition of PKM2 was found to mitigate microglial activation, and targeted removal of Pkm2 in microglia improved spatial learning and memory in AD mice.

Microglia exhibit a range of ion channels, encompassing sodium, chloride, calcium, potassium, and proton channels. The array of channels found on microglia contributes to the dynamic characteristics of these immune cells within the brain. These ion channels are pivotal in governing various functions of microglia, including proliferation, chemotaxis, phagocytosis, antigen recognition and presentation, apoptosis, and cell signaling, ultimately influencing processes such as inflammation and other essential functions (309). Particularly, disruptions in calcium homeostasis occur during the process of human aging. Recent studies indicated that dense plaques can induce functional changes in calcium signals in mice afflicted with AD (310). Calcium is crucial in numerous signaling pathways and cellular functions within the human body. In the nervous system, voltage-gated calcium channels, specifically L-type calcium channels (LTCCs), are pivotal in neurotransmitter release, synaptic integration, and plasticity. The intricate structure and functional complexity of LTCCs make it challenging to understand their contribution to AD fully. Nevertheless, LTCCs dysfunction is highly implicated in AD occurrence (311).

LTCCs represent the largest category of voltage-gated calcium channels (312). Comprising four distinct pore-forming α1 subunits—Cav1.1 (α1S), Cav1.2 (α1C), Cav1.3 (α1D), and Cav1.4 (α1F)—LTCCs are accompanied by auxiliary subunits α2-δ, β, and γ (313, 314). The Cav1.1 isoform, encoded by the CACNA1S gene, is present in skeletal muscle, contributing to excitation–contraction coupling (315). The Cav1.4 isoform, coded by the CACNA1F gene, is in the retina and plays a role in photoreceptor transmitter release (316). Mutations in Cav1.4 are linked to night blindness (317). Predominantly expressed in the heart and brain, the Cav1.2 and Cav1.3 isoforms have been implicated in disorders related to the nervous system, such as autism, bipolar disorder, and Timothy’s Syndrome. The Cav1.3 isoform, encoded by the CACNA1D gene, is found in the neuroendocrine system, neurons, cochlea, and cardiac pacemaker cells, contributing to functions like cardiac pacemaking, synaptic regulation, excitation-transcription coupling, hearing, and hormone release. Lastly, the Cav1.2 isoform, encoded by the CACNA1C gene on chromosome 12p13, is present in the heart, endocrine system, and neurons. Cav1.2 plays a crucial role in various processes in the nervous system, including activating calcium-dependent ions, enzymes, and potassium channels (311). The transition of microglia from a resting quiescent state to an “activated” immune-effector state is controlled by intracellular Ca2+. Consequently, manipulating intracellular Ca2+ is a valuable approach to influence the microglia phenotype. In this context, antagonists of LTCCs can potentially decrease the release of proinflammatory cytokines and ROS from activated microglia, offering a possible therapeutic avenue for resolving chronic neuroinflammation observed in conditions such as AD and PD (318).

Furthermore, Cheng et al. (319) documented an elevation in the expression of calcium homeostasis modulator family protein 2 (Calhm2) in a mouse model of AD. In 5×FAD mice harboring five familial AD gene mutations, the conventional knockout (KO) of Calhm2 and the conditional microglial KO of Calhm2 demonstrated a significant decrease in Aβ deposition, neuroinflammation, and cognitive impairments. Mechanistically, the absence of Calhm2 suppressed microglial proinflammatory activity while enhancing phagocytic activity, thereby restoring the balance between inflammation and phagocytosis. Additionally, Calhm2 KO reduced acute LPS-induced neuroinflammation.

In recent research, there has been substantial evidence supporting the involvement of microglial pro-inflammatory signaling in the development of PD (320, 321). These studies specifically emphasize the importance of activating the microglial NLRP3 inflammasome in the onset of PD (322, 323). Furthermore, a recent investigation has unveiled intriguing insights into how α-synuclein (α-syn) is regulated within microglia, pinpointing Fyn kinase as the key regulator in this process (324, 325). As a result, researchers believe that Fyn kinase plays a pivotal role in both initiating and driving the activation of the microglial NLRP3 inflammasome in PD (2, 326). This connection has been further supported by in vitro analyzes of human microglial response to fibrillar α-syn (327, 328).

Reactive microglia, particularly through TLR2 activation, have been implicated in the transmission of α-syn in PD, as evidenced by the TLR2-dependent uptake of α-synuclein-containing plasma exosomes by microglia (329331). Additionally, studies have shown that neurons efficiently internalize human α-syn released by microglia previously exposed to PD plasma exosomes, indicating their role as mediators in the spread of α-syn (330, 332, 333).

Besides to their pro-inflammatory signaling in PD and related disorders, microglia play a crucial role in the clearance of α-syn (334336). A recent study revealed that complement receptor (CR) 4 selectively binds to fibrillary α-syn, triggering the formation of phagolysosomes and facilitating the clearance of this pathological protein (337). Other studies have also suggested that TLR4 initiates an inflammatory response to α-syn and is pivotal in the phagocytic activity and clearance of α-syn by microglia (338).

The involvement of microglial TLR4 was further assessed in a mouse model of prodromal PD. The observed acceleration of pathology in this model, in the context of TLR4 deficiency, provided additional evidence for TLR4’s role in α-syn processing by microglia. This study demonstrated that TLR4 deficiency in vivo promoted the spread of α-syn seeds, linked to reduced lysosomal activity in microglia, ultimately leading to accelerated neurodegeneration in the nigral region (339). Moreover, laboratory-based examinations underscored the impact of extracellular α-synuclein in impeding microglial autophagy function. The hindrance of autophagy by α-synuclein seemed to be mediated through TLR4-dependent activation of the p38 and Akt-mTOR signaling pathways (340).

The impact of Calhm2 deletion has also been observed in the context of PD. Bo et al. (341) observed that both conventional KO of Calhm2 and microglial KO of Calhm2 led to a significant reduction in dopaminergic neuronal loss and a decrease in microglial numbers, consequently improving locomotor performance in mice modeling PD. Mechanistically, it was discovered that Calhm2 interacted with EFhd2, regulating downstream STAT3 signaling in microglia. Besides, the knockdown of Calhm2 or EFhd2 suppressed downstream signaling through STAT3 and reduced levels of inflammatory cytokines in microglia. However, Wang et al. (342) also reported that blocking the microglial Cav1.2 Ca2+ channel exacerbates symptoms in a PD model. They demonstrated the expression of Cav1.2 channels in microglia and found that calcium antagonists amplified the neuroinflammatory M1 transition while inhibiting the neuroprotective M2 transition of microglia in vitro. Additionally, they observed extensive degeneration of dopaminergic neurons and associated behavioral deficits in microglia-specific Cav1.2 knockdown mice treated with MPTP, a neurotoxin-inducing PD-like symptoms. These findings suggest the detrimental effects of microglial Cav1.2 blockade on PD.

Disrupted autophagy is also a contributing mechanism influencing microglia in the onset and progression of PD. Qin et al. (343) documented that compromised autophagy in microglia exacerbates dopaminergic neurodegeneration by modulating NLRP3 inflammasome activation in experimental models of PD. In a laboratory setting, BV2 microglial cells underwent exposure to LPS with or without autophagy-related gene 5 (Atg5) small interference RNA (Atg5-siRNA). For the in vivo study, microglial Atg5 conditional KO (Atg5flox/flox; CX3CR1-Cre) mice and their wild-type littermates (Atg5flox/flox) received intraperitoneal injections of MPTP for induction of an experimental PD model. These findings demonstrated that the disruption of autophagy by Atg5-siRNA heightened LPS-induced inflammatory responses in BV2 cells and led to increased apoptosis in SH-SY5Y cells treated with BV2 conditioned medium. In mice, impaired autophagy in microglia worsened dopaminergic neuron loss in response to MPTP. The mechanism underlying the promotion of neuroinflammation and dopaminergic neurodegeneration due to the deficiency of microglial autophagy was associated with the regulation of NLRP3 inflammasome activation.

Cheng et al. (344) reported that loss of programmed death-1 (PD-1) exacerbates motor impairment in the MPTP model of PD by triggering microglial activation and neuroinflammation in mice. Utilizing a PD mouse model and PD-1 KO mice, these authors established distinct experimental groups: WT-CON, WT-MPTP, KO-CON, and KO-MPTP, which stand for wild-type-control, wild-type-1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine, PD-1-KO-control, and PD-1-KO-MPTP, respectively. They examined motor dysfunction in animals, the dopaminergic neuronal injury, morphological distribution of PD-1-positive cells, glial activation, and the generation of inflammatory cytokines in the midbrains through motor behavior detection, immunohistochemistry, and western blot analyzes. In the WT-MPTP mouse model, a reduction in microglial cells positive for PD-1/Iba1 in the substantia nigra. was observed compared to WT-CON mice. Upon comparing the four experimental groups, PD-1 deficiency was associated with worsening motor dysfunction in animals, a decrease in tyrosine hydroxylase (TH) protein expression, and a reduction in TH-positive neuronal protrusions. Additionally, PD-1 deficiency amplified microglial activation, leading to increased production of proinflammatory cytokines such as iNOS, TNF-α, IL-1β, and IL-6. Moreover, PD-1 deficiency influenced the AKT and ERK1/2 expression and phosphorylation in the substantia nigra of the MPTP model.

Rocha et al. (345) demonstrated that in the rotenone model of PD, microglia-specific KO of NF-κB/IKK2 leads to an enhanced accumulation of misfolded α-synuclein. This effect is attributed to the inhibition of p62/sequestosome-1-dependent autophagy. The hypothesis was that inhibiting NF-κB signaling in microglia would alleviate overall inflammatory injury in lesioned mice. Analysis revealed a decrease in the microglia’s expression of sequestosome 1 (p62), an NF-κB-regulated autophagy gene. P62 is crucial for targeting ubiquitinated α-syn for lysosomal degradation. Despite an overall reduction in neurodegeneration, KO animals exhibited an increased accumulation of misfolded α-syn within microglia.

Metabolic reprogramming is now applied to elucidate the metabolic energy characteristics of microglia (346). Microglia exhibit distinct metabolic patterns (347). Activated microglia manifest unique metabolic profiles in glucose, amino acid, iron, and lipid metabolism. Furthermore, mitochondrial dysfunction may contribute to the metabolic reprogramming of microglia through the activation of various signaling mechanisms. The functional alterations in microglia resulting from metabolic reprogramming can induce changes in the brain microenvironment, which is pivotal in promoting neuroinflammation or facilitating tissue repair. The involvement of microglial metabolic reprogramming in the pathogenesis of PD has been substantiated. Effective reduction of neuroinflammation and preservation of dopaminergic neurons can be achieved by inhibiting specific metabolic pathways in M1 microglia or by transitioning M1 cells into the M2 phenotype (348).

Lu et al. (349) employed metabolic profiling to assess microglial energy metabolism, specifically oxidative phosphorylation and aerobic glycolysis. They utilized the mRFP-GFP-tagged LC3 reporter to investigate the role of transient receptor potential cation channel subfamily V member 1 (TRPV1) in microglial autophagy. In their study, they employed a mouse model of sporadic PD featuring α-synuclein preformed fibrils (PFF) in TRPV1flox/flox; Cx3cr1Cre mice to examine the impact of TRPV1 activation on the neurodegenerative process. Their findings revealed that acute exposure to PFF induced microglial activation, leading to metabolic reprogramming from oxidative phosphorylation to aerobic glycolysis through the AKT–mTOR– hypoxia inducible factor 1α (HIF-1α) pathway. Over time, activated microglia transitioned into a state of chronic PFF tolerance, accompanied by widespread defects in energy metabolism. The authors demonstrated that boosting metabolism through treatment with the TRPV1 agonist capsaicin rescued metabolic impairments in PFF-tolerant microglia and addressed defects in mitophagy caused by the disruption of the AKT–mTOR–HIF-1α pathway. Furthermore, capsaicin was shown to attenuate phosphorylation of α-synuclein in primary neurons by enhancing phagocytosis in PFF-tolerant microglia in vitro. Finally, Lu et al. observed that behavioral deficits and the loss of dopaminergic neurons were accelerated in the PFF TRPV1flox/flox; Cx3cr1Cre mouse model of sporadic PD. In general, this study contributes to a deeper comprehension of the complex mechanisms involved in microglial responses to α-syn pathology and provides valuable insights for the development of targeted therapeutic strategies for PD.

Iron emerges as a pivotal factor influencing microglial polarization in the context of PD. Activation of inflammasomes in microglia triggers a metabolic shift from oxidative phosphorylation to glycolysis, culminating in microglia polarization toward the proinflammatory M1 phenotype. This cascade ultimately leads to neuroinflammation and neurodegeneration. Furthermore, iron accumulation prompts microglia to adopt an inflammatory and glycolytic phenotype. Interestingly, the M2 phenotype microglia demonstrate increased susceptibility to ferroptosis, and inhibiting ferroptosis can potentially alleviate neuroinflammation (350). Ryan et al. (351) demonstrated that microglia derived from human-induced pluripotent stem cells cultivated in a tri-culture system exhibit heightened responsiveness to iron and vulnerability to ferroptosis—a form of cell death dependent on iron. Moreover, an excess of iron led to a notable shift in the transcriptional state of microglia, aligning with a transcriptomic signature identified in the postmortem brain microglia of individuals with PD. The data from these researchers also indicate that this microglial response plays a role in neurodegeneration, as the removal of microglia from the tri-culture system significantly postponed iron-induced neurotoxicity.

Gu et al. (352) observed a reduction in MT1 levels in microglia within the substantia nigra of the MPTP-induced PD mouse model. Activation of microglial MT1 significantly inhibited LPS-induced neuroinflammation, while the absence of microglial MT1 exacerbated inflammation. Metabolic reprogramming of microglia was identified as contributing to the anti-inflammatory effects of MT1 activation. Microglial MT1 activation reversed LPS-induced excessive aerobic glycolysis and OXPHOS. MT1 positively regulated the pyruvate dehydrogenase alpha 1 (PDHA1) expression, enhancing OXPHOS and suppressing aerobic glycolysis. Additionally, in LPS-treated microglia, MT1 activation reduced the toxicity of conditioned media to the dopaminergic DA cell line MES23.5.

Figure 2 depicts the varied phenotypes of microglia, namely M1 and M2, in response to different neurodegenerative conditions.

Figure 2
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Figure 2 Microglia manifests distinct phenotypes, recognized as M1 and M2, in diverse circumstances. Typically, microglia exhibit a homeostatic phenotype that safeguards neuronal well-being through activities such as synaptic pruning, control of myelination, and the elimination of misfolded pathological proteins via neurogenesis and phagocytosis. Additionally, homeostatic microglia play a pivotal role in maintaining brain tissue equilibrium. Depending on environmental cues and encountered stimuli, microglia can transition into either the pro-inflammatory M1 phenotype or the anti-inflammatory M2 phenotype. In the presence of pathogenic molecules like LPS and IFN, or protein aggregates such as α-syn, microglia assume the pro-inflammatory M1 phenotype, releasing stressors like ROS and pro-inflammatory cytokines including IL-1β, iNOS, and TNF-α. Prolonged exposure to these inflammatory mediators may result in neuronal damage. Conversely, exposure to mediators like TGF-β, IL-4, IL-10, and IL-13 prompts microglia to shift from the M1 to the M2 phenotype. The M2 microglia phenotype contributes to processes such as phagocytosis, rebuilding the extracellular matrix (ECM), and promoting neuronal survival by secreting factors like YM1 and FIZZ1.

9 Contemporary approaches in clinical trials for managing neuroinflammation in neurodegenerative disorders

9.1 Current methods for targeting neuroinflammation in Alzheimer’s disease

Table 1 outlines the key discoveries from the contemporary approaches in clinical trials to address neuroinflammation in AD.

Table 1
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Table 1 Principal findings from the modern strategies employed in clinical trials targeting neuroinflammation in Alzheimer’s disease.

9.1.1 P38 MAPK inhibitor Neflamapimod

Activation of p38MAPKs by APP and Aβ in microglia and astrocytes led to the release of inflammatory cytokines. Meanwhile, p38α MAPK heightened pathogenic p-tau in neurons, contributing to neuronal damage. Currently, two experimental medications are undergoing clinical trials that inhibit p38 MAPKs: Neflamapimod (NCT03402659) and MW150 (NCT05194163) (353). Yet, information on Neflamapimod is already publicly available.

Alam et al. (354) explored the correlation between plasma phosphorylated tau at residue 181 (ptau181) and the response to Neflamapimod treatment in patients with Dementia with Lewy Bodies (DLB). The study aimed to assess the impact of the p38α kinase inhibitor Neflamapimod, targeting the cholinergic degenerative process in DLB, on individuals with different baseline levels of pretreatment plasma ptau181. Eighty-five participants with mild-to-moderate DLB, receiving cholinesterase inhibitors, underwent analysis, with 45 participants below and 40 above the 2.2 pg/mL cutoff for plasma ptau181 at baseline. Over the 16-week treatment period, comparing placebo with Neflamapimod 40 mg three times daily, participants below the cutoff demonstrated greater improvements in all evaluated endpoints compared to those above the cutoff. Furthermore, individuals below the ptau181 cutoff at baseline exhibited significant enhancement over placebo in various measures, including an attention composite measure (+0.42, 95% CI 0.07-0.78, p = 0.023, d = 0.78), the Clinical Dementia Rating Scale Sum of Boxes (-0.60, 95% CI -1.04 to -0.06, p = 0.031, d = 0.70), the Timed Up and Go test (-3.1 seconds, 95% CI -4.7 to -1.6, p < 0.001, d = 0.74), and International Shopping List Test-Recognition (+1.4, 95% CI 0.2-2.5, p = 0.024, d = 1.00).

Jiang et al. (355) conducted a preclinical and randomized clinical assessment of the p38α kinase inhibitor Neflamapimod for basal forebrain cholinergic degeneration. Ninety-one participants with DLB, all undergoing background cholinesterase inhibitor therapy, were randomly assigned in a 1:1 ratio to receive Neflamapimod 40 mg or matching placebo capsules. The medication was administered orally twice daily for individuals weighing less than 80 kg and thrice daily for those weighing more than 80 kg. In the clinical study, Neflamapimod did not demonstrate an effect on the primary endpoint, a cognitive test battery. However, improvements were observed on two secondary endpoints—functional mobility and a dementia rating scale—which align with an anticipated impact on Basal Forebrain Cholinergic Neurons (BFCN) function. Neflamapimod treatment was well-tolerated, with no instances of study drug-associated treatment discontinuations.

Prins et al. (356) conducted a 24-week double-blind, placebo-controlled phase 2 clinical trial evaluating the p38 alpha kinase inhibitor Neflamapimod in individuals with mild AD. Named the REVERSE-SD (Synaptic Dysfunction) study, this multi-center trial took place from December 29, 2017, to June 17, 2019. A total of 464 participants were screened, and 161 were randomized to receive either 40 mg Neflamapimod (78 participants) or a matching placebo (83 participants) orally twice daily. The study did not reveal significant differences between the treatment groups concerning primary or secondary clinical endpoints. However, Neflamapimod treatment led to significantly reduced cerebrospinal fluid (CSF) levels compared to placebo, particularly in T-tau [difference (95% CI): -18.8 (-35.8, -1.8); P=0.031] and p-tau181 [-2.0 (-3.6, -0.5); P=0.012], with a suggestive trend for neurogranin [-21.0 (-43.6, 1.6); P=0.068]. In pre-specified pharmacokinetic-pharmacodynamic (PK-PD) analyzes, subjects in the highest quartile of trough plasma Neflamapimod levels exhibited positive trends, compared to placebo, in Hopkins Verbal Learning Test-Revised (HVLT-R) and Wechsler Memory Scale (WMS). The incidence of discontinuation due to adverse events and serious adverse events (all considered unrelated) was 3% each.

9.1.2 SIRT1 activator resveratrol

The activation of sirtuins, particularly sirtuin 1 (SIRT1), could represent a crucial molecular pathway for treating AD neuroinflammation. The deacetylase activity of SIRT1 is controlled by the NAD+/NADH ratio, linking cellular energy balance to epigenetic transcriptional regulation. Resveratrol, a potent activator of SIRT1 and a pharmacological mimic of caloric restriction (CR), is a polyphenol naturally occurring in red grapes, peanuts, and various other plant species. Analogous to the effects of CR, the administration of resveratrol to transgenic mouse models of Alzheimer’s disease results in reduced behavioral deficits and diminished CNS Aβ deposition with aging (368). In a retrospective analysis, Moussa et al. (358) examined stored CSF and plasma samples from a subgroup of AD subjects with baseline CSF Aβ42 <600 ng/ml (N = 19 resveratrol-treated and N = 19 placebo-treated). Compared to the placebo-treated group, resveratrol significantly reduced CSF matrix metalloproteinase (MMP)-9 and increased macrophage-derived chemokine (MDC), IL-4, and fibroblast growth factor (FGF)-2 at 52 weeks. Resveratrol also led to increased plasma MMP10 and decreased IL-12P40, IL-12P70, and regulated on activation, normal T cell expressed and secreted (RANTES) compared to baseline. In this subset analysis, resveratrol treatment mitigated declines in mini-mental status examination (MMSE) scores, changes in activities of daily living (ADL) scores (ADCS-ADL), and CSF Aβ42 levels during the 52-week trial, while tau levels remained unchanged. These findings collectively suggest that resveratrol reduces CSF MMP9, modulates neuroinflammation, and triggers adaptive immunity.

9.1.3 Insulin sensitizer NE3107

NE3107, an orally administered small molecule with blood-brain permeability, is an anti-inflammatory insulin sensitizer. This compound binds to extracellular signal-regulated kinase and has demonstrated its ability to specifically hinder inflammation-induced activation of extracellular signal-regulated kinase (ERK) and NF-κB, thereby inhibiting the production of inflammatory mediators such as TNF-α without disrupting their normal regulatory functions (359). In this Phase III clinical study, conducted at multiple centers and employing a randomized design, Reading et al. investigated the safety and effectiveness of a 30-week treatment with NE3107 compared to a placebo in elderly individuals diagnosed with mild-to-moderate AD. A total of 316 patients were randomly assigned in a 1:1 ratio. The co-primary endpoints assessed cognitive function (ADAS Cog12) and functional and behavioral traits (ADCS CGIC) with promising results. The comprehensive final findings are expected to be published shortly. The study is registered under the identifier NCT04669028 on ClinicalTrials.gov.

9.1.4 Intranasal insulin

In pilot clinical trials, intranasal insulin (INI) has displayed potential as an AD treatment. A recent phase 2 trial involving participants with mild cognitive impairment (MCI) or AD, treated with INI via two delivery devices, demonstrated improved CSF biomarker profiles and slower symptom progression compared to the placebo group. In the benefiting cohort, changes in CSF markers related to inflammation, immune function, and vascular integrity were measured and evaluated concerning changes in cognition, brain volume, and CSF amyloid and tau concentrations. The insulin-treated group exhibited increased CSF interferon-γ (p = 0.032) and eotaxin (p = 0.049), along with reduced interleukin-6 (p = 0.048) over the 12-month trial. In contrast, the placebo group showed increased CSF macrophage-derived chemokine (p = 0.083), and the insulin-treated group exhibited trends for increased interleukin-2 (p = 0.093). Remarkably different patterns of associations between changes in CSF markers and alterations in cognition, brain volume, and amyloid and tau concentrations were observed between the insulin-treated and placebo groups (360).

9.1.5 Plasma fraction GRF6019

The plasma fraction GRF6019 exhibits various positive effects on brain aging in mice, including improved cognition, neurogenesis, synaptic density, and reduced neuroinflammation. Hannestad et al. (361) conducted a phase II, double-blind, placebo-controlled study to assess the safety, tolerability, and preliminary efficacy of GRF6019 in patients with severe AD. Patients (GRF6019: n = 18, Placebo: n = 8) were randomized 2:1 and received 250 mL intravenous infusions daily over five days. The primary endpoints included adverse event rates, tolerability, and change from baseline in cognitive and functional assessments. All patients completed the study without any deaths or serious adverse events. GRF6019 (44.4%) and placebo (37.5%) negative event rates were similar. The most common treatment-related adverse events in the GRF6019 group were mild, transient changes in blood pressure. While this trial lacked statistical power to detect differences in cognitive and functional assessments between treated groups, GRF6019 exhibited excellent safety, feasibility, and tolerability. Subsequent trials designed to elucidate the potential practical benefits of GRF6019 and related plasma fractions in severe Alzheimer’s disease are justified.

9.1.6 Lysergic acid diethylamide

Studies indicate that psychedelics, such as lysergic acid diethylamide (LSD), possess significant anti-inflammatory properties mediated through 5-HT2A receptor signaling. This supports their potential therapeutic use in addressing neuroinflammation associated with neurodegenerative diseases (362). In this double-blind, placebo-controlled, randomized phase 1 study, Family et al. assigned volunteers to one of four dose groups (5 μg, 10 μg, 20 μg LSD, and placebo) and administered the given dose on six occasions every four days. Forty-eight healthy older volunteers (mean age = 62.9 years) received placebo (n = 12), 5 μg (n = 12), 10 μg (n = 12), or 20 μg (n = 12) LSD. LSD plasma levels were undetectable for the 5 μg group, while peak blood plasma levels for the 10 μg and 20 μg groups occurred at 30 minutes. The study found that LSD was well-tolerated, with the frequency of adverse events no higher than that for the placebo. Assessments of cognition, balance, and proprioception revealed no impairment. The results suggest the safety and tolerability of orally administered 5 μg, 10 μg, and 20 μg LSD every fourth day over 21 days, supporting further clinical development of LSD for the treatment and prevention of AD.

9.1.7 HClO-scavenger anserine

Specifically, research indicates that neuroinflammatory responses involving HClO production contribute to AD progression (363). In this study by Masuoka et al., anserine, an HClO scavenger, was investigated to protect cognitive function in individuals with MCI. Thirty-six MCI participants were assigned to receive either 500 mg of anserine per day or a placebo for 12 weeks. Cognitive function was assessed using the MMSE at baseline and post-ingestion. Analysis of MMSE change scores for 30 subjects completing follow-up tests revealed a significant difference between the active arm (1.9 ± 2.0; n = 15) and the placebo arm (0 ± 2.8; n = 15) (p = 0.036). The significance increased after adjusting for daily anserine intake (p = 0.0176). The results suggest that anserine may safeguard elderly individuals with MCI from cognitive decline by suppressing myeloperoxidase (MPO)-mediated neuroinflammatory responses.

9.1.8 Microglial modulator CHF5074

Ross et al. (365) conducted a 12-week, double-blind, placebo-controlled, parallel groups, ascending dose study involving 96 patients with MCI to assess the safety, tolerability, pharmacokinetics, and pharmacodynamics of CHF5074, a novel microglial modulator. Participants were divided into three cohorts receiving ascending, titrated doses of CHF5074 (200, 400, or 600 mg/day) or placebo. Vital signs, cardiac safety, neuropsychological performance, and safety clinical laboratory parameters were monitored. Plasma samples were collected for drug concentration analysis, measuring soluble CD40 ligand (sCD40L) and TNF-α. Optionally, CSF samples were collected to assess drug levels, β-amyloid1-42 (Aβ42), tau, phospho-tau181, sCD40L, and TNF-α after the last dose. Ten patients did not complete the study, and at the end of treatment, CSF levels of sCD40L and TNF-α were inversely related to CHF5074 dose. Plasma sCD40L levels in the 600-mg/day group were significantly lower than in the placebo group (p=0.010). While no significant differences were found in neuropsychological tests, a positive dose-response trend in executive function was observed in APOE4 carriers. This study demonstrates that CHF5074 is well-tolerated in MCI patients with a 12-week titrated treatment up to 600 mg/day and has a dose-dependent impact on CNS biomarkers of neuroinflammation.

9.1.9 Ginkgo biloba EGb 761 standardized extract

Morató et al. (367) investigated the effects of EGb 761, the standardized extract of Ginkgo biloba, in MCI patients. Blood markers of inflammation and oxidative stress were analyzed. The study involved a single-center, parallel-group design with a 12-month follow-up for participants with MCI (Global Deterioration Scale, GDS = 3), followed by an additional 12-month extension. During the initial 12 months, participants were randomized into two arms: the study group (n = 50) received one daily tablet of EGb 761 (240 mg orally), while the control group (n = 50) did not receive EGb 761 but underwent the same assessments. After the first 12 months, the EGb 761-treated group continued treatment, and the control group was offered EGb 761 (240 mg orally). The ongoing study, involving 100 MCI patients (60% women), had a mean age of 73.1 years, and the mean time between symptom onset and MCI diagnosis was 2.9 years. The mean MMSE score was 26.7. The most frequent comorbidities included depressive and anxiety disorders, as well as vascular risk factors. Results for the first year of treatment are anticipated by 2023. EGb 761 is known for its neuroprotective effects. It is globally used for the symptomatic treatment of cognitive disorders, displaying robust antioxidant and anti-inflammatory activity in experimental models and clinical observational studies (366).

9.2 Current methods for targeting neuroinflammation in Parkinson’s disease

Table 2 summarizes the main findings derived from modern approaches in clinical trials aimed at addressing neuroinflammation in PD.

Table 2
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Table 2 Key outcomes from contemporary strategies implemented in clinical trials focusing on neuroinflammation in Parkinson’s disease.

9.2.1 Transcranial magnetic stimulation

Aftanas et al. (370) documented the therapeutic impact of repetitive transcranial magnetic stimulation (rTMS) on neuroinflammation and neuroplasticity in patients with PD in a placebo-controlled study. Specifically, they investigated the effects of rTMS on the motor cortex (bilaterally) and the left prefrontal cortex (dorsolaterally) concerning the spontaneous and mitogen-stimulated synthesis of pro- and anti-inflammatory cytokines by blood cells, as well as the level of BDNF in the blood serum of PD patients. The rTMS group exhibited significantly more positive clinical dynamics (evaluated by the unified Parkinson’s Disease rating scale) than the placebo group, accompanied by a noteworthy reduction in the spontaneous production of pro-inflammatory cytokines IFNγ and IL-17A. However, rTMS did not produce a significant effect on serum BDNF.

9.2.2 Cholinesterase inhibitors Donezepil

Cholinergic neurotransmission plays a regulatory role in neuroinflammation in PD (374). Sawada et al. (371) conducted a delayed-start study investigating the impact of donepezil on cognitive decline in non-demented PD patients. The study encompassed a 96-week randomized, placebo-controlled, double-blind phase 1, followed by a 24-week donepezil extension phase 2. The primary endpoint was the change in the MMSE at week 120. Ninety-eight patients were randomly assigned to the early-start (donepezil-to-donepezil) and delayed-start (placebo-to-donepezil) groups. Baseline MMSE mean scores were 27.6 and 28.0, respectively. While the MMSE change at week 120 favored the early-start group, the difference was insignificant. However, in apolipoprotein ϵ4 carriers, the MMSE declined, unlike in non-carriers, and the interaction effect (intervention × ϵ4 genotype) was highly significant (P < 0.001). When analyzed with this interaction, the difference became significant (group difference 1.95 [0.33 to 3.57], P = 0.018). Additionally, the MMSE decline slope in phase 1 was significantly better in the early-start group compared to the delayed-start group (P = 0.048).

9.2.3 Myeloperoxidase inhibitor AZD3241

Myeloperoxidase, an enzyme that generates ROS, is expressed by microglia. AZD3241, a novel compound, serves as a selective and irreversible inhibitor of myeloperoxidase. The proposed mechanism of action for AZD3241 involves reducing OS, thereby diminishing sustained neuroinflammation (373). Jucaite et al. conducted a phase 2 randomized placebo-controlled multicenter positron emission tomography study with the aim of investigating the impact of 8 weeks of treatment with AZD3241 on microglia in PD patients. Participants with PD were randomly assigned to receive either orally administered AZD3241 at 600 mg twice a day or placebo (in a 3:1 ratio) for the 8-week duration. The study assessed the binding of (11)C-PBR28 to the microglia marker 18 kDa translocator protein using positron emission tomography at baseline, 4 weeks, and 8 weeks. In the AZD3241 treatment group (n = 18), the total distribution volume of (11)C-PBR28 binding to the translocator protein was significantly reduced compared to baseline at both 4 and 8 weeks (P < 0.05). The reduction in distribution volume across nigrostriatal regions at 8 weeks ranged from 13-16%, with an effect size of 0.5-0.6. Conversely, there was no overall change in the total distribution volume in the placebo group (n = 6). AZD3241 was found to be safe and well-tolerated. The observed reduction in (11)C-PBR28 binding to the translocator protein in the brains of PD patients following AZD3241 treatment supports the hypothesis that inhibiting myeloperoxidase affects microglia.

9.3 Current methods for targeting neuroinflammation in multiple sclerosis

Table 3 outlines the primary outcomes obtained from contemporary methodologies in clinical trials designed to tackle neuroinflammation in MS.

Table 3
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Table 3 Key results from recent methodologies employed in clinical trials dedicated to addressing neuroinflammation in multiple sclerosis.

9.3.1 Caloric restriction diet

Rahmani et al. (376) conducted a pilot study to assess the impact of a twelve weeks intermittent caloric restriction diet on mitigating neuroinflammation in midlife individuals with MS. The study randomly assigned ten participants with relapsing-remitting MS to either a 12-week intermittent calorie restriction (iCR) diet group (n = 5) or a control group (n = 5). Measurements of cortical thickness and volumes were performed using FreeSurfer, cortical perfusion was assessed through arterial spin labeling, and neuroinflammation was evaluated using diffusion basis spectrum imaging. After 12 weeks of iCR, the iCR group exhibited an increase in brain volume in the left superior and inferior parietal gyri (p: 0.050 and 0.049, respectively) and the banks of the superior temporal sulcus (p: 0.01). Moreover, cortical thickness improvements were observed in the bilateral medial orbitofrontal gyri (p: 0.04 and 0.05 in right and left, respectively), the left superior temporal gyrus (p: 0.03), and the frontal pole (p: 0.008), among other regions. Cerebral perfusion decreased in the bilateral fusiform gyri (p: 0.047 and 0.02 in right and left, respectively) and increased in the bilateral deep anterior white matter (p: 0.03 and 0.013 in right and left, respectively). Neuroinflammation, as demonstrated by hindered and restricted water fractions (HF and RF), decreased in the left optic tract (HF p: 0.02) and the right extreme capsule (RF p: 0.007 and HF p: 0.003). The preliminary findings indicate that iCR may have therapeutic benefits, including enhancements in cortical volume and thickness, as well as the attenuation of neuroinflammation in midlife adults with MS.

9.3.2 Chaperone and activator of Toll-like receptor 2 small molecule B-crystallin

van Noort et al. (377) assessed the therapeutic impact of Alpha B-Crystallin in individuals with MS. Acting as a molecular chaperone and activating Toll-like receptor 2-mediated protective responses in microglia and macrophages, the small heat shock protein alpha B-crystallin (HspB5) has demonstrated therapeutic effects in various animal models of neuroinflammation, including those for MS. Despite its positive effects, it’s important to note that HspB5 can also stimulate human antigen-specific memory T cells to release IFN-γ, a cytokine with documented detrimental effects in the context of MS. In this 48-week randomized, placebo-controlled, double-blind phase IIa trial, three bimonthly intravenous injections of 7.5, 12.5, or 17.5 mg HspB5 were determined to be safe and well-tolerated in patients with relapsing-remitting MS (RRMS). While predefined clinical endpoints did not show significant differences between the relatively small groups of MS patients treated with HspB5 or placebo, repeated administration, particularly of the lower doses of HspB5, led to a progressive decline in MS lesion activity monitored by magnetic resonance imaging, a trend not observed in the placebo group. Exploratory linear regression analysis demonstrated that this decline was significant in the combined group receiving either of the two lower doses, resulting in a 76% reduction in both the number and total volumes of active magnetic resonance imaging lesions at 9 months into the study (377).

9.3.3 Fusion protein abatacept

Khoury et al. (378) conducted a randomized trial assessing the efficacy of abatacept (CTLA4-Ig) in treating RRMS. The use of the cytotoxic T lymphocyte-associated antigen-4-immunoglobulin (CTLA4-Ig) fusion protein abatacept for costimulatory blockade of T lymphocytes holds promise as a potentially effective anti-neuroinflammatory treatment for RRMS. The study, known as ACCLAIM (A Cooperative Clinical Study of Abatacept in Multiple Sclerosis), was a phase II, randomized, double-blind, placebo-controlled, multi-center trial. Of the planned 123 participants with RRMS, 65 were randomized in a 2:1 ratio to receive monthly intravenous infusions of either abatacept or placebo for 24 weeks. At 28 weeks, participants switched to the opposite treatment, with the final dose administered at 52 weeks. The primary endpoint was the mean number of new gadolinium-enhancing (Gd+) lesions, as determined by magnetic resonance imaging scans performed every 4 weeks. Results revealed no statistically significant differences in the mean number of new Gd+ magnetic resonance imaging lesions between the abatacept and placebo groups. Similarly, there were no statistically significant differences observed in other magnetic resonance imaging and clinical parameters related to RRMS disease activity. Throughout the trial, abatacept was well-tolerated by participants.

9.3.4 Natural therapies with coconut oil and epigallocatechin gallate

Considering that the pathology of MS involves neuroinflammation, mitochondrial alterations, and cellular oxidation, implementing a nutritional intervention with anti-inflammatory and antioxidant properties, such as coconut oil and epigallocatechin gallate (EGCG), holds promise for effectively combating the disease. Cuerda-Ballester et al. (379) conducted a pilot study involving 51 MS patients to examine the effects of treatment with coconut oil and EGCG on gait and balance. Participants were randomly assigned to either an intervention group or a control group. The intervention group received a daily dose of 800 mg of EGCG and 60 ml of coconut oil, while the control group received a placebo. This regimen continued for 4 months, during which participants followed a Mediterranean isocaloric diet. The study assessed initial and final measurements, including quantitative balance (Berg scale), perceived balance (ABC scale), gait speed (10MWT), gait resistance (2MWT), muscle strength (measured with a dynamometer), and serum levels of β-hydroxybutyrate (BHB). The intervention group exhibited a significant improvement in gait speed, quantitative balance, and muscle strength in the right quadriceps, with an observed enhancement in gait resistance in both groups. Positive correlations were found between balance and gait scales. In conclusion, the administration of EGCG and coconut oil appears to enhance gait speed and balance in MS patients, even though the latter may not be subjectively perceived by the individuals. Additionally, these variables seem interrelated and contribute to overall functionality. Although this study did not directly evaluate neuroinflammatory markers, BHB is notable for its observed neuroprotective efficacy in conditions such as stroke and neurodegenerative diseases, as well as for its anti-inflammatory effects (382, 383).

9.3.5 Natalizumab

Natalizumab, a humanized monoclonal antibody, binds to α4β1-integrin, leading to a decrease in the migration of immune cells from the blood across the blood-brain barrier into the CNS (380). To examine the progression of brain atrophy and its correlation with inflammatory activity in individuals with RRMS undergoing natalizumab treatment, Magraner et al. (381) conducted an 18-month clinical trial. Eighteen RRMS patients were prospectively monitored after initiating natalizumab therapy. Monthly evaluations included assessments for relapse signs, adverse events, or disability progression. Magnetic resonance imaging scans were conducted before natalizumab initiation and every six months thereafter. Cross-sectional calculations of T2 lesion volume (T2LV) and baseline and 18-month measurements of normalized brain volume (NBV) were performed using Steronauta® and SIENAx software, respectively. The Longitudinal Percentage of Brain Volume Change (PBVC) was estimated with SIENA. Results showed that natalizumab reduced the annual relapse rate (ARR) by 67% and cumulative contrast-enhancing lesions (CEL) by 87.5%. The global PBVC from baseline to 18 months was -2.5%, primarily occurring in the first six months. T2 lesion volume decreased from 1000 mm3 to 960 mm3 (p=0.006), and NBV decreased from 1.55×10(5) mm3 to 1.42×10(5) mm3 (p=0.025). The number of relapses before treatment correlated with PBVC during the first semester (Pearson’s coefficient -0.520, p=0.003), while basal CEL or baseline T2LV did not correlate with the rate of brain atrophy. Nine patients exhibited clinical or radiological inflammatory activity throughout the follow-up, and their PBVC was significantly higher in the first semester (p=0.002).

10 Innovative immunotherapeutic strategies for alleviating neuroinflammatory progression: bridging the gap from laboratory to clinical

De Vlaminck et al. (384) reported resident and infiltrating macrophages’ dynamic adaptability and outcomes in the progression and resolution of neuroinflammation. Brain-resident microglia and Border-Associated Macrophages (BAMs) are self-renewing cell populations. This study investigated the fate of microglia, BAMs, and infiltrating macrophages in neuroinflammation and its resolution. Neuroinflammation in mice was induced while the host was actively infected with Trypanosoma brucei parasites. Within the infection, fate mapping and single-cell sequencing revealed an accumulation of microglia around the ventricles and an expansion of epiplexus cells. Depletion experiments through genetic targeting demonstrated that resident macrophages played a role in the initial defense against parasites and subsequently facilitated the infiltration of monocytes across the brain barriers. These monocyte-derived macrophages, recruited from outside, outnumbered the resident macrophages and showed more remarkable transcriptional plasticity, adopting profiles indicative of antimicrobial gene expression. However, the situation reversed as the disease progressed to its final stages. The recruited macrophages were swiftly cleared, and no engrafted monocyte-derived cells remained in the brain parenchyma of the animals.

Conversely, resident macrophages gradually returned to a state of homeostasis. The overall findings of this study illustrate a complex phenomenon that neuroscientists rely on resident microglia, which showed limited long-term transcriptional changes, whereas BAMs exhibited more pronounced alterations. Brain-resident and recruited macrophages demonstrate distinct responses and dynamics during infection and resolution phases (384).

Stated differently, research endeavors like the one mentioned here pave the way in a domain closely aligned with immunomodulation. This field of immunology holds promise for potentially averting the onset and impeding the advancement of neuroinflammatory processes, thereby countering the emergence or progression of numerous neurological conditions, including neurodegenerative disorders. Regulating the immune system, whether on a systemic level or specifically within the CNS, involves multiple targets closely associated with microglia and peripheral immune cells that infiltrate the CNS during neuroinflammatory challenges.

10.1 Unleashing the therapeutic potential of interleukin-driven immunomodulation

Choi et al. (385) examined the involvement of IL-27-producing B-1a cells in alleviating neuroinflammation and autoimmune conditions affecting the CNS. Regulatory B cells (Breg cells) that produce IL-10 or IL-35 (i35-Breg) play pivotal roles in modulating immune responses within the brain, especially involving neuroinflammation. During neuroinflammatory processes, i27-Bregs aggregate in the CNS and lymphoid tissues, safeguarding against autoimmune diseases targeting the respective organs. In this study, the authors corroborated the hypothesis that i27- regulatory B cells (i27-Breg) immunomodulation significantly improves neuroinflammation in C57BL/6J, B6.SJL-Ptprca Pepcb/BoyJ (CD45.1) and B6N.129P2-Il27ratm1Mak/J (Il27rα−/−) mice with encephalomyelitis. This was achieved through the heightened expression of inhibitory receptors (Lag3, PD-1), the suppression of Th17/Th1 responses, and the promotion of inhibitory signals that transform conventional B cells into regulatory lymphocytes secreting IL-10 and/or IL-35 in the brain and spinal cord. Moreover, i27-Breg exhibited in vivo proliferation and sustained IL-27 secretion in the CNS and lymphoid tissues, offering a therapeutic advantage over the administration of biologics (IL-10, IL-35) swiftly metabolized in vivo.

Kang et al. (386) reported that exosome-mediated IL-35 production mitigates neuroinflammation in C57BL/6J treated mice. CD138+ plasma cells were activated with anti-IgM/anti-CD40 antibodies to produce i35-Breg exosomes (i35-Exosomes). Subsequently, each mouse received a treatment of approximately 2 × 10^10 exosomes (30 μg/mouse). Given their low toxicity and immunogenicity, it is crucial not to underestimate the potential of exosomes in alleviating neuroinflammatory processes. The exosomes demonstrated anti-neuroinflammatory and anti-uveitis effects by promoting the proliferation of Treg cells that secrete IL-10 and IL-35, while concurrently inhibiting Th17 responses. The exosomes derived from i35-Bregs also inhibited CD4+ T cell proliferation and attenuated INF-γ secretion.

Similarly, Yu et al. (387) explored the anti-neuroinflammatory properties of IL-35 produced by Bregs in countering neuroinflammation induced by an autoimmune CNS disease in C57BL/6J mice. The authors found the recruitment and binding of BATF, along with IFN regulatory factors (IRF)-4 and IRF-8 transcription factors, to the AP1-IRF-composite elements (AICEs) within the Gene ResultIL12A interleukin 12A (il12a), Gene ResultEBI3 Epstein-Barr virus induced 3 (ebi3), and/or Gene ResultIL10 interleukin 10 (il10) loci within the mechanism associated with the anti-neuroinflammatory potential of the treatment, which strongly implies the BATF-IRF-4-IRF-8 complex crucial role in orchestrating the transcriptional programs responsible for IL-10 and IL-35 regulation in B cells and their roles in mitigating neuroinflammation. Hence, the transfer of an individual’s Bregs shows potential as a practical approach for treating autoimmune and neurodegenerative disorders linked to inflammation.

10.2 Chemokine (CXC) receptors signaling and expression: double-edged swords in neuroinflammation regulation and intervention with immunomodulation

Chung & Liao (388) reported that CXCR3 signaling in glial cells mitigates experimental autoimmune encephalomyelitis by limiting the development of a pro-Th17 cytokine environment and decreasing the infiltration of Th17 cells into the CNS. EAE serves as a mouse model for studying MS. Throughout this study, CXCR3(-/-) mice were employed, as well as wild-type (WT) mice for control experiments. The results indicated that CXCR3(-/-) mice displayed more severe EAE and exhibited a significant increase in CNS-infiltrating Th17 cells compared to WT mice. Otherwise, the adoptive-transfer experiments demonstrated that recipient CXCR3(-/-) mice receiving Th17 cells derived from splenocytes of myelin oligodendrocyte glycoprotein (MOG)-immunized CXCR3(-/-) mice or MOG-immunized WT mice consistently developed more severe EAE and had a notable increase in CNS-infiltrating Th17 cells compared to WT recipient mice receiving Th17 cells from the same source. Additionally, during EAE, the CNS of MOG-immunized CXCR3(-/-) mice exhibited an elevated count of activated glial cells, with CXCR3-deficient glial cells displaying heightened expression levels of cytokine genes essential for Th17 expansion and recruitment. These findings reveal a previously unacknowledged function of CXCR3 signaling within glial cells, suppressing the proliferation of Th17 cells in the context of EAE.

Furthermore, the authors’ results underscore that, beyond its established role in immune cell recruitment, CXCR3 within CNS glial cells exerts a pivotal role in mitigating the pro-Th17 cytokine/chemokine environment during EAE, consequently curtailing Th17 cell proliferation within the CNS and attenuating disease progression. The described effects can be attributed to the potential for anti-neuroinflammatory action of CXC receptors. The observed pathways indicated that ERK activation triggered by CXCR3 signaling dampened the activation of NF-κB, a pivotal transcription factor crucial for the induction of IL-23 and CCL20, both necessary for Th17 cell expansion and recruitment and experimental autoimmune encephalomyelitis neuroinflammatory model (388).

Mueller et al. (389) evaluated that suppression of hyaluronan (HA) synthesis protects against CNS autoimmunity and augments CXCL12 expression within the inflamed CNS, alleviating neuroinflammation in a mice model of EAE through the administration of 4-methylumbelliferone (4MU), a widely recognized inhibitor of HA synthesis. HA plays proinflammatory roles in the context of CNS autoimmunity. It accumulates in demyelinated MS lesions, promoting antigen presentation and intensifying T-cell activation and proliferation. Further, HA initiates signaling via Toll-like receptors 2 and 4, which trigger the expression of inflammatory genes. Finally, HA also aids in lymphocyte adherence to vessels and facilitates CNS infiltration through the vascular endothelium. It is well-established that the expression of CXCL12, an anti-inflammatory chemokine, is diminished in the cerebrospinal fluid cells of MS patients and the spinal cord tissue during EAE. In this study, HA inhibited the production of CXCL12, while 4MU elevated spinal CXCL12 levels in both naive animals and during neuroinflammation. Objectively, HA inhibition by 4MU promoted CXCL12 synthesis. The elevation of this molecule conferred protection in active EAE of C57Bl/6 mice, reducing spinal inflammatory infiltrates and the infiltration of Th1 cells while promoting the differentiation of regulatory T-cells. In adoptive transfer EAE, the authors highlighted that administering 4MU to donor mice notably reduced the encephalitogenicity of lymph node cells. In other words, HA aggravates CNS autoimmunity by amplifying encephalitogenic T-cell responses and suppressing the protective chemokine CXCL12 in CNS tissue. The inhibition of HA synthesis with 4MU protects against MS inflammatory burden and could serve as a significant therapeutic avenue for MS but also other neuroinflammatory conditions.

Song et al. (390) reported that exosomal MicroRNA-181c-3p derived from cortical neurons suppresses neuroinflammation by reducing CXCL1 expression in astrocytes of a rat model with ischemic brain injury. Rat astrocytes were subjected to exosomes isolated from cortical neurons to examine their impact on the expression of chemokine (C-X-C motif) ligand 1 (CXCL1) and the ensuing inflammatory response. The results indicated that exosomal miR-181c-3p originating from cortical neurons conferred protective effects against astrocyte neuroinflammation by reducing CXCL1 levels. Exosomes isolated from cortical neurons subjected to oxygen-glucose deprivation (OGD) reduced the levels of CXCL1 and inflammatory factors in astrocytes. Moreover, these exosomes delivered miR-181c-3p to attenuate CXCL1 expression in astrocytes. Verily, CXCL1 upregulation significantly triggered inflammatory responses within the CNS. Objectively, miR-181c-3p targeted CXCL1 as its gene of interest. The miR-181c-3p mimic and siRNA delivery against CXCL1 (si-CXCL1) was demonstrated to suppress astrocyte inflammation by reducing CXCL1 expression and alleviating neuroinflammation.

10.3 Chilling chronicles: cold exposure and immunological reprogramming

Spiljar et al. (391) examined immune shifts across diverse compartments during cold exposure and demonstrated that this energetically demanding stimulus significantly alleviates active neuroinflammation in EAE. At baseline and in various inflammatory mouse models, cold exposure reduced MHCII expression on monocytes, thereby dampening T cell activation and mitigating their pathogenicity via monocyte modulation. Conversely, the authors’ results also demonstrated that the genetic removal of monocytes or their depletion via antibodies, or the introduction of Th1- or Th17-polarized cells through adoptive transfer, nullifies the cold-induced effects on T cells or EAE, respectively. These discoveries establish a mechanical connection between ambient temperature and neuroinflammation. They propose a dynamic interplay between the metabolic adjustments triggered by cold exposure and autoimmunity. They highlight an energetic trade-off that confers benefits for immune-mediated diseases and neuroinflammation intervention through immunomodulation and immunological reprogramming. This competition between cold-induced metabolic adaptations and autoimmunity illuminates a crucial aspect of the complex relationship between environmental factors and immune responses in the context of neuroinflammatory disorders.

10.4 Fibrin-targeting immunomodulation as a beacon of relief for neuroinflammation

Ryu et al. (392) demonstrated that immunomodulation targeting fibrin emerges as a safeguard against both neuroinflammation and neurodegeneration. The CNS experiences the activation of innate immunity and the deposition of blood-derived fibrin in conditions such as autoimmune disorders and neurodegenerative diseases, encompassing MS and AD. To alleviate neuroinflammation by fibrin-targeting immunomodulation, researchers harnessed the effect of the monoclonal antibody 5B8, which homes in on the elusive fibrin epitope γ377-395. This approach allowed them to specifically quell inflammation and oxidative stress triggered by fibrin while leaving the clotting process untouched. The findings revealed that 5B8 effectively dampened fibrin-induced NADPH oxidase activation and the expression of proinflammatory genes, therefore diminishing neuroinflammation within the CNS of the treated animals.

Furthermore, in animal models of both MS and AD, 5B8 successfully infiltrated the CNS, securing a bond with parenchymal fibrin. Its therapeutic administration also led to a reduction in the activation of innate immunity and mitigated neurodegeneration. Conclusively, fibrin-targeting immunomodulation effectively curbed both autoimmunity- and amyloid-induced neurotoxicity. This approach holds promise for potential clinical benefits without broad suppression of innate immunity or disruption of coagulation processes across a spectrum of neurological disorders (392).

Adams et al. (393) stated that the gamma377-395 peptide derived from fibrin, hinders the activation of microglia and mitigates recurrent paralysis in autoimmune diseases of the CNS. Mice with a knock-in of fibrinogen-gamma(390-396A) or receiving intranasal administration of a fibrinogen-derived inhibitory peptide (gamma(377-395)) to hinder the fibrinogen-Mac-1 interaction pharmacologically were applied in the conduction of this research. The results successfully pinpointed fibrinogen as a newfound controller of microglia activation. Fibrinogen, located in perivascular deposits within MS lesions, triggers microglial cells via Mac-1, initiating the conversion of microglia into phagocytes by activating Akt and Rho pathways. This study demonstrated that explicitly targeting the interaction between fibrinogen and the microglia integrin receptor Mac-1 (alpha(M)beta(2), CD11b/CD18) effectively mitigates EAE in mice without deleting the coagulation function. The intervention not only reduced microglia activation, therefore alleviating neuroinflammation, but also mitigated recurring paralysis. Targeting the gamma(377-395) fibrinogen epitope also holds promise as a potential therapeutic approach for conditions like MS and other neuroinflammatory diseases linked to blood-brain barrier compromise and microglia activation as the intervention impacts the inflammatory rather than the coagulation properties of fibrinogen.

11 Conclusions and future research directions

Our review findings suggest that interventions centered around interleukin-driven immunomodulation, chemokine (CXC) receptors signaling and expression, cold exposure, and fibrin-targeting approaches hold promising potential for alleviating neuroinflammatory processes across a spectrum of models encompassing conditions like MS, EAE, PD, and AD. While the findings from the studies are promising, immunomodulatory approaches often face limitations due to Immune-Related Adverse Events (irAEs), which involve an unintended activation and inflammatory response against the host’s healthy tissues. Therefore, the conduction of randomized clinical trials in this matter is mandatory. The goal is to elicit a targeted immune response against neuroinflammation within a human host. Recognizing the research in neuroinflammation intervention with innovative immunomodulation strategies is imperative. These research initiatives have explored diverse facets of this field, such as modulating microglial activation through numerous animal models to advance our understanding of neuroinflammation and pinpoint potential therapeutic avenues for mitigating neuroinflammatory processes.

The ongoing research efforts are laying the groundwork for prospective avenues of exploration within the realm of immunomodulation, interventions targeting microglial activity, and the regulation of neuroinflammation. These endeavors contribute to our current understanding and chart a course for future investigations in these crucial areas of study. Firstly, engaging in exploring and identifying novel molecular targets integral to controlling microglial activation and neuroinflammation is vital. This endeavor may encompass the application of sophisticated genomic and proteomic analyzes to unveil hitherto undiscovered components within the immunological pathways linked to neuroinflammation. By employing cutting-edge techniques, we can unravel hidden facets of molecular regulation, paving the way for a deeper understanding of the mechanisms governing microglial activation and neuroinflammatory processes. Secondly, creating individualized immunomodulatory strategies customized to the unique neuroinflammatory profiles of each patient is essential. Employ precision medicine methodologies, including genetic and biomarker profiling, to tailor treatment approaches, enhancing efficacy and minimizing potential side effects. This approach ensures a targeted and personalized therapeutic intervention that considers the distinct characteristics of each patient’s neuroinflammatory condition. In the realm of personalized medicine, the outcomes of single-cell RNA-seq can be leveraged to guide extensive small molecule screenings, facilitating the identification of compounds that specifically target cell populations associated with neurodegenerative conditions. By pinpointing vulnerabilities and dysregulated pathways at the cellular level through single-cell RNA-seq, scientists can formulate combination therapies that address various aspects of neurodegenerative disease pathology. This strategy has the potential to enhance the effectiveness of treatments and tackle the intricacies inherent in these multifaceted disorders. Moreover, data from single-cell RNA-seq can serve as a roadmap for endeavors in cellular reprogramming, with the goal of transforming or replacing damaged cell populations with robust and functional cells. This innovative approach holds promise for regenerative therapies, aiming to restore lost neuronal function in the context of neurodegenerative conditions.

Thirdly, the intricate relationship between the CNS’s metabolic processes and immune responses must be examined deeper. It is crucial to profoundly explore the impact of changes in cellular metabolism on microglial activation and their role in the development of neuroinflammation. Identifying and targeting specific metabolic pathways may present groundbreaking approaches to modulate the progression of neuroinflammation, offering innovative strategies to intervene in the underlying mechanisms governing this complex interplay. In this particular context, one could delve into the potential impact of cold therapy on diminishing the metabolic processes essential for facilitating healing responses.

Fourthly, it is imperative to utilize and implement state-of-the-art imaging technologies for the real-time visualization and monitoring of microglial activation and neuroinflammation. Incorporate advanced neuroimaging modalities, such as positron emission tomography (PET) and functional magnetic resonance imaging (fMRI), to elevate our comprehension of the spatial and temporal dynamics involved in immunological responses within the brain in the context of neuroinflammation in neurodegenerative disorders is essential. Fively, when addressing neurodegenerative diseases, it’s advisable to thoroughly explore the potential benefits of combining immunomodulatory methods with established therapeutic strategies. Prioritize identifying treatment plans that effectively utilize immunological and traditional neuroprotective mechanisms to optimize clinical outcomes. One way to attain this is by incorporating natural neuroinflammation modulators, like bioactive natural compounds, in conjunction with other immunomodulatory methods. Sixthly, researchers should explore the application of nanotechnology for delivering immunomodulatory agents specifically to affected brain regions within the contexts of different neurodegenerative disorders. The focus should be on developing nanocarriers that can cross the blood-brain barrier, facilitating targeted and controlled release of immunomodulators. This innovative approach aims to mitigate neuroinflammation while minimizing off-target effects.

Seventhly, researchers should also prioritize the influence of immunomodulatory interventions on patient-reported outcomes and the overall quality of life. In addition to conventional clinical endpoints, it is recommended to integrate patient perspectives and subjective measures. This comprehensive approach will provide a thorough assessment of the holistic effects of immunomodulation on individuals dealing with neuroinflammatory conditions. Ultimately, exploring neural stem cell (NSC) transplantation as a potential therapeutic avenue unveils encouraging findings in its ability to counteract neurodegeneration through a multifaceted approach. Notably, this intervention showcases positive impacts by generating essential neurotrophic factors crucial for neuronal health and facilitating the replacement of damaged cells. Moreover, the process demonstrates a noteworthy enhancement in neuronal plasticity, fostering the adaptability and resilience of neural networks. Additionally, the observed reduction in neuroinflammation further contributes to the overall positive outcomes associated with NSC transplantation. Consequently, the collective evidence supports the assertion that NSC transplantation is not merely a potential therapeutic strategy but indeed emerges as a promising and effective intervention in addressing the challenges posed by neuroinflammation in neurodegenerative conditions.

Author contributions

LF: Conceptualization, Data curation, Formal Analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Software, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing. JAD: Data curation, Methodology, Conceptualization, Formal Analysis, Validation, Funding acquisition, Resources, Visualization, Writing – review & editing. ACA: Data curation, Methodology, Conceptualization, Formal Analysis, Validation, Funding acquisition, Resources, Visualization, Writing – review & editing. KT: Validation, Writing – review & editing. CM: Writing – review & editing. CR: Writing – review & editing. LS: Writing – review & editing. DD: Writing – review & editing. MD: Writing – review & editing. MV: Writing – review & editing. EdS: Writing – review & editing. RJ: Writing – review & editing. IJ: Writing – review & editing. SB: Conceptualization, Data curation, Formal Analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Software, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing.

Funding

The author(s) declare that no financial support was received for the research, authorship, and/or publication of this article.

Acknowledgments

The authors attribute Smart Servier (https://smart.servier.com/, accessed on 1 September 2023) for scientific images that were used in this article under an attribution license of public copyrights (https://creativecommons.org/licenses/by/3.0/, accessed on 24 September 2023) and under the disclaimer of warranties. All Smart Servier’s images were not changed in the writing of this article.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s note

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References

1. Davinelli S, Maes M, Corbi G, Zarrelli A, Willcox DC, Scapagnini G. Dietary phytochemicals and neuro-inflammaging: from mechanistic insights to translational challenges. Immun Ageing (2016) 13:16. doi: 10.1186/s12979-016-0070-3

PubMed Abstract | CrossRef Full Text | Google Scholar

2. Pan T, Xiao Q, Fan HJ, Xu L, Qin SC, Yang LX, et al. Wuzi Yanzong Pill relieves MPTP-induced motor dysfunction and neuron loss by inhibiting NLRP3 inflammasome-mediated neuroinflammation. Metab Brain Dis (2023). doi: 10.1007/s11011-023-01266-8

CrossRef Full Text | Google Scholar

3. Solleiro-Villavicencio H, Rivas-Arancibia S. Effect of chronic oxidative stress on neuroinflammatory response mediated by CD4(+)T cells in neurodegenerative diseases. Front Cell Neurosci (2018) 12:114. doi: 10.3389/fncel.2018.00114

PubMed Abstract | CrossRef Full Text | Google Scholar

4. Morozumi T, Preziosa P, Meani A, Albergoni M, Margoni M, Pagani E, et al. Influence of cardiorespiratory fitness and MRI measures of neuroinflammation on hippocampal volume in multiple sclerosis. J Neurol Neurosurg Psychiatry (2023). doi: 10.1136/jnnp-2023-331482

PubMed Abstract | CrossRef Full Text | Google Scholar

5. Sochocka M, Diniz BS, Leszek J. Inflammatory response in the CNS: friend or foe? Mol Neurobiol (2017) 54:8071–89. doi: 10.1007/s12035-016-0297-1

PubMed Abstract | CrossRef Full Text | Google Scholar

6. Kölliker-Frers R, Udovin L, Otero-Losada M, Kobiec T, Herrera MI, Palacios J, et al. Neuroinflammation: an integrating overview of reactive-neuroimmune cell interactions in health and disease. Mediators Inflammation (2021) 2021:9999146. doi: 10.1155/2021/9999146

CrossRef Full Text | Google Scholar

7. Tohidpour A, Morgun AV, Boitsova EB, Malinovskaya NA, Martynova GP, Khilazheva ED, et al. Neuroinflammation and infection: molecular mechanisms associated with dysfunction of neurovascular unit. Front Cell Infect Microbiol (2017) 7:276. doi: 10.3389/fcimb.2017.00276

PubMed Abstract | CrossRef Full Text | Google Scholar

8. Disabato DJ, Quan N, Godbout JP. Neuroinflammation: the devil is in the details. J Neurochem (2016) 139 Suppl 2:136–53. doi: 10.1111/jnc.13607

PubMed Abstract | CrossRef Full Text | Google Scholar

9. Simpson DSA, Oliver PL. ROS generation in microglia: understanding oxidative stress and inflammation in neurodegenerative disease. Antioxidants (Basel) (2020) 9. doi: 10.3390/antiox9080743

PubMed Abstract | CrossRef Full Text | Google Scholar

10. Fabisiak T, Patel M. Crosstalk between neuroinflammation and oxidative stress in epilepsy. Front Cell Dev Biol (2022) 10:976953. doi: 10.3389/fcell.2022.976953

PubMed Abstract | CrossRef Full Text | Google Scholar

11. Rodriguez-Lopez A, Torres-Paniagua AM, Acero G, Díaz G, Gevorkian G. Increased TSPO expression, pyroglutamate-modified amyloid beta (AβN3(pE)) accumulation and transient clustering of microglia in the thalamus of Tg-SwDI mice. J Neuroimmunol (2023) 382:578150. doi: 10.1016/j.jneuroim.2023.578150

PubMed Abstract | CrossRef Full Text | Google Scholar

12. Hopper AT, Campbell BM, Kao H, Pintchovski SA, Staal RGW. Chapter four - recent developments in targeting neuroinflammation in disease. In: Desai MC, editor. Annual reports in medicinal chemistry. Academic Press (2012). p. 37–53.

Google Scholar

13. Liu Y, Yang H, Luo N, Fu Y, Qiu F, Pan Z, et al. An Fgr kinase inhibitor attenuates sepsis-associated encephalopathy by ameliorating mitochondrial dysfunction, oxidative stress, and neuroinflammation via the SIRT1/PGC-1α signaling pathway. J Transl Med (2023) 21:486. doi: 10.1186/s12967-023-04345-7

PubMed Abstract | CrossRef Full Text | Google Scholar

14. Craft JM, Watterson DM, Van Eldik LJ. Neuroinflammation: a potential therapeutic target. Expert Opin Ther Targets (2005) 9:887–900. doi: 10.1517/14728222.9.5.887

PubMed Abstract | CrossRef Full Text | Google Scholar

15. Trewin BP, Freeman I, Ramanathan S, Irani SR. Immunotherapy in autoimmune encephalitis. Curr Opin Neurol (2022) 35:399–414. doi: 10.1097/WCO.0000000000001048

PubMed Abstract | CrossRef Full Text | Google Scholar

16. Majd NK, Dasgupta PR, De Groot JF. Immunotherapy for neuro-oncology. Adv Exp Med Biol (2021) 1342:233–58. doi: 10.1007/978-3-030-79308-1_7

PubMed Abstract | CrossRef Full Text | Google Scholar

17. Wang S, Colonna M. Microglia in Alzheimer's disease: A target for immunotherapy. J Leukoc Biol (2019) 106:219–27. doi: 10.1002/JLB.MR0818-319R

PubMed Abstract | CrossRef Full Text | Google Scholar

18. Xu YJ, Au NPB, Ma CHE. Functional and phenotypic diversity of microglia: implication for microglia-based therapies for alzheimer's disease. Front Aging Neurosci (2022) 14:896852. doi: 10.3389/fnagi.2022.896852

PubMed Abstract | CrossRef Full Text | Google Scholar

19. Araújo B, Caridade-Silva R, Soares-Guedes C, Martins-Macedo J, Gomes ED, Monteiro S, et al. Neuroinflammation and parkinson's disease-from neurodegeneration to therapeutic opportunities. Cells (2022) 11. doi: 10.3390/cells11182908

CrossRef Full Text | Google Scholar

20. Brambilla R. The contribution of astrocytes to the neuroinflammatory response in multiple sclerosis and experimental autoimmune encephalomyelitis. Acta Neuropathol (2019) 137:757–83. doi: 10.1007/s00401-019-01980-7

PubMed Abstract | CrossRef Full Text | Google Scholar

21. Page MJ, Mckenzie JE, Bossuyt PM, Boutron I, Hoffmann TC, Mulrow CD, et al. The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. BMJ (Clinical Res ed.) (2021) 372:n71–1. doi: 10.1136/bmj.n71

CrossRef Full Text | Google Scholar

22. Aromataris E, Fernandez R, Godfrey CM, Holly C, Khalil H, Tungpunkom P. Summarizing systematic reviews: methodological development, conduct and reporting of an umbrella review approach. Int J Evid Based Healthc (2015) 13:132–40. doi: 10.1097/XEB.0000000000000055

PubMed Abstract | CrossRef Full Text | Google Scholar

23. Zeng X, Zhang Y, Kwong JS, Zhang C, Li S, Sun F, et al. The methodological quality assessment tools for preclinical and clinical studies, systematic review and meta-analysis, and clinical practice guideline: a systematic review. J Evid Based Med (2015) 8:2–10. doi: 10.1111/jebm.12141

PubMed Abstract | CrossRef Full Text | Google Scholar

24. Zhang T, Ma C, Zhang Z, Zhang H, Hu H. NF-κB signaling in inflammation and cancer. MedComm (2020) (2021) 2:618–53. doi: 10.1002/mco2.104

PubMed Abstract | CrossRef Full Text | Google Scholar

25. Liu T, Zhang L, Joo D, Sun SC. NF-κB signaling in inflammation. Signal Transduct Target Ther (2017) 2:17023–. doi: 10.1038/sigtrans.2017.23

PubMed Abstract | CrossRef Full Text | Google Scholar

26. Wang VY, Huang W, Asagiri M, Spann N, Hoffmann A, Glass C, et al. The transcriptional specificity of NF-κB dimers is coded within the κB DNA response elements. Cell Rep (2012) 2:824–39. doi: 10.1016/j.celrep.2012.08.042

PubMed Abstract | CrossRef Full Text | Google Scholar

27. Sun SC, Cesarman E. NF-κB as a target for oncogenic viruses. Curr Top Microbiol Immunol (2011) 349:197–244. doi: 10.1007/82_2010_108

PubMed Abstract | CrossRef Full Text | Google Scholar

28. Liu F, Xia Y, Parker AS, Verma IM. IKK biology. Immunol Rev (2012) 246:239–53. doi: 10.1111/j.1600-065X.2012.01107.x

PubMed Abstract | CrossRef Full Text | Google Scholar

29. Hinz M, Scheidereit C. The IκB kinase complex in NF-κB regulation and beyond. EMBO Rep (2014) 15:46–61. doi: 10.1002/embr.201337983

PubMed Abstract | CrossRef Full Text | Google Scholar

30. Giridharan S, Srinivasan M. Mechanisms of NF-κB p65 and strategies for therapeutic manipulation. J Inflammation Res (2018) 11:407–19. doi: 10.2147/JIR.S140188

CrossRef Full Text | Google Scholar

31. Nennig SE, Schank JR. The role of NFkB in drug addiction: beyond inflammation. Alcohol Alcohol (2017) 52:172–9. doi: 10.1093/alcalc/agw098

PubMed Abstract | CrossRef Full Text | Google Scholar

32. Min Y, Kim MJ, Lee S, Chun E, Lee KY. Inhibition of TRAF6 ubiquitin-ligase activity by PRDX1 leads to inhibition of NFKB activation and autophagy activation. Autophagy (2018) 14:1347–58. doi: 10.1080/15548627.2018.1474995

PubMed Abstract | CrossRef Full Text | Google Scholar

33. Houser J, Jendruchova K, Knight A, Piskacek M. The NFkB activation domain is 14-amino-acid-long variant of the 9aaTAD. Biochem J (2023) 480:297–306. doi: 10.1042/BCJ20220605

PubMed Abstract | CrossRef Full Text | Google Scholar

34. Laurindo LF, Santos A, Carvalho ACA, Bechara MD, Guiguer EL, Goulart RA, et al. Phytochemicals and regulation of NF-kB in inflammatory bowel diseases: an overview of in vitro and in vivo effects. Metabolites (2023) 13. doi: 10.3390/metabo13010096

CrossRef Full Text | Google Scholar

35. Miyake Y, Yamasaki S. Sensing necrotic cells. Adv Exp Med Biol (2012) 738:144–52. doi: 10.1007/978-1-4614-1680-7_9

PubMed Abstract | CrossRef Full Text | Google Scholar

36. Adinolfi E, Giuliani AL, De Marchi E, Pegoraro A, Orioli E, Di Virgilio F. The P2X7 receptor: A main player in inflammation. Biochem Pharmacol (2018) 151:234–44. doi: 10.1016/j.bcp.2017.12.021

PubMed Abstract | CrossRef Full Text | Google Scholar

37. Patel S. Danger-associated molecular patterns (DAMPs): the derivatives and triggers of inflammation. Curr Allergy Asthma Rep (2018) 18:63. doi: 10.1007/s11882-018-0817-3

PubMed Abstract | CrossRef Full Text | Google Scholar

38. Malinovskaya EM, Ershova ES, Okorokova NA, Veiko VP, Konkova MS, Kozhina EA, et al. Ribosomal DNA as DAMPs signal for MCF7 cancer cells. Front Oncol (2019) 9:445. doi: 10.3389/fonc.2019.00445

PubMed Abstract | CrossRef Full Text | Google Scholar

39. Mussbacher M, Salzmann M, Brostjan C, Hoesel B, Schoergenhofer C, Datler H, et al. Cell type-specific roles of NF-κB linking inflammation and thrombosis. Front Immunol (2019) 10. doi: 10.3389/fimmu.2019.00085

PubMed Abstract | CrossRef Full Text | Google Scholar

40. Dolcet X, Llobet D, Pallares J, Matias-Guiu X. NF-kB in development and progression of human cancer. Virchows Arch (2005) 446:475–82. doi: 10.1007/s00428-005-1264-9

PubMed Abstract | CrossRef Full Text | Google Scholar

41. Didonato JA, Mercurio F, Karin M. NF-κB and the link between inflammation and cancer. Immunol Rev (2012) 246:379–400. doi: 10.1111/j.1600-065X.2012.01099.x

PubMed Abstract | CrossRef Full Text | Google Scholar

42. Monaco C, Andreakos E, Kiriakidis S, Mauri C, Bicknell C, Foxwell B, et al. Canonical pathway of nuclear factor kappa B activation selectively regulates proinflammatory and prothrombotic responses in human atherosclerosis. Proc Natl Acad Sci U.S.A. (2004) 101:5634–9. doi: 10.1073/pnas.0401060101

PubMed Abstract | CrossRef Full Text | Google Scholar

43. Shih VF, Tsui R, Caldwell A, Hoffmann A. A single NFκB system for both canonical and non-canonical signaling. Cell Res (2011) 21:86–102. doi: 10.1038/cr.2010.161

PubMed Abstract | CrossRef Full Text | Google Scholar

44. Yu H, Lin L, Zhang Z, Zhang H, Hu H. Targeting NF-κB pathway for the therapy of diseases: mechanism and clinical study. Signal Transduct Target Ther (2020) 5:209. doi: 10.1038/s41392-020-00312-6

PubMed Abstract | CrossRef Full Text | Google Scholar

45. Oeckinghaus A, Ghosh S. The NF-kappaB family of transcription factors and its regulation. Cold Spring Harb Perspect Biol (2009) 1:a000034. doi: 10.1101/cshperspect.a000034

PubMed Abstract | CrossRef Full Text | Google Scholar

46. Zhang H, Sun S-C. NF-κB in inflammation and renal diseases. Cell Bioscience (2015) 5:63. doi: 10.1186/s13578-015-0056-4

PubMed Abstract | CrossRef Full Text | Google Scholar

47. Fan Y, Mao R, Yang J. NF-κB and STAT3 signaling pathways collaboratively link inflammation to cancer. Protein Cell (2013) 4:176–85. doi: 10.1007/s13238-013-2084-3

PubMed Abstract | CrossRef Full Text | Google Scholar

48. Mitchell JP, Carmody RJ. NF-κB and the transcriptional control of inflammation. Int Rev Cell Mol Biol (2018) 335:41–84. doi: 10.1016/bs.ircmb.2017.07.007

PubMed Abstract | CrossRef Full Text | Google Scholar

49. Lawrence T. The nuclear factor NF-kappaB pathway in inflammation. Cold Spring Harb Perspect Biol (2009) 1:a001651. doi: 10.1101/cshperspect.a001651

PubMed Abstract | CrossRef Full Text | Google Scholar

50. Martin RD, Hoeth M, Hofer-Warbinek R, Schmid JA. The transcription factor NF-κB and the regulation of vascular cell function. Arteriosclerosis Thrombosis Vasc Biol (2000) 20:e83–8. doi: 10.1161/01.atv.20.11.e83

CrossRef Full Text | Google Scholar

51. Liang Y, Chen G, Yang Y, Li Z, Chen T, Sun W, et al. Effect of canonical NF-κB signaling pathway on the differentiation of rat dental epithelial stem cells. Stem Cell Res Ther (2019) 10:139. doi: 10.1186/s13287-019-1252-7

PubMed Abstract | CrossRef Full Text | Google Scholar

52. Gerondakis S, Siebenlist U. Roles of the NF-kappaB pathway in lymphocyte development and function. Cold Spring Harb Perspect Biol (2010) 2:a000182. doi: 10.1101/cshperspect.a000182

PubMed Abstract | CrossRef Full Text | Google Scholar

53. Oh H, Ghosh S. NF-κB: roles and regulation in different CD4(+) T-cell subsets. Immunol Rev (2013) 252:41–51. doi: 10.1111/imr.12033

PubMed Abstract | CrossRef Full Text | Google Scholar

54. Wang AG, Son M, Kenna E, Thom N, Tay S. NF-κB memory coordinates transcriptional responses to dynamic inflammatory stimuli. Cell Rep (2022) 40:111159. doi: 10.1016/j.celrep.2022.111159

PubMed Abstract | CrossRef Full Text | Google Scholar

55. Daniels MA, Luera D, Teixeiro E. NFκB signaling in T cell memory. Front Immunol (2023) 14. doi: 10.3389/fimmu.2023.1129191

PubMed Abstract | CrossRef Full Text | Google Scholar

56. Tak PP, Firestein GS. NF-κB: a key role in inflammatory diseases. J Clin Invest (2001) 107:7–11. doi: 10.1172/JCI11830

PubMed Abstract | CrossRef Full Text | Google Scholar

57. Sharif O, Bolshakov VN, Raines S, Newham P, Perkins ND. Transcriptional profiling of the LPS induced NF-κB response in macrophages. BMC Immunol (2007) 8:1. doi: 10.1186/1471-2172-8-1

PubMed Abstract | CrossRef Full Text | Google Scholar

58. Zhang Z, Yang X, Song YQ, Tu J. Autophagy in Alzheimer's disease pathogenesis: Therapeutic potential and future perspectives. Ageing Res Rev (2021) 72:101464. doi: 10.1016/j.arr.2021.101464

PubMed Abstract | CrossRef Full Text | Google Scholar

59. Mussbacher M, Derler M, Basílio J, Schmid JA. NF-κB in monocytes and macrophages - an inflammatory master regulator in multitalented immune cells. Front Immunol (2023) 14:1134661. doi: 10.3389/fimmu.2023.1134661

PubMed Abstract | CrossRef Full Text | Google Scholar

60. Castro-Alcaraz S, Miskolci V, Kalasapudi B, Davidson D, Vancurova I. NF-kappa B regulation in human neutrophils by nuclear I kappa B alpha: correlation to apoptosis. J Immunol (2002) 169:3947–53. doi: 10.4049/jimmunol.169.7.3947

PubMed Abstract | CrossRef Full Text | Google Scholar

61. Fox S, Leitch AE, Duffin R, Haslett C, Rossi AG. Neutrophil apoptosis: relevance to the innate immune response and inflammatory disease. J Innate Immun (2010) 2:216–27. doi: 10.1159/000284367

PubMed Abstract | CrossRef Full Text | Google Scholar

62. Langereis JD, Raaijmakers HA, Ulfman LH, Koenderman L. Abrogation of NF-κB signaling in human neutrophils induces neutrophil survival through sustained p38-MAPK activation. J Leukoc Biol (2010) 88:655–64. doi: 10.1189/jlb.0809544

PubMed Abstract | CrossRef Full Text | Google Scholar

63. Sun SC. The noncanonical NF-κB pathway. Immunol Rev (2012) 246:125–40. doi: 10.1111/j.1600-065X.2011.01088.x

PubMed Abstract | CrossRef Full Text | Google Scholar

64. Hoesel B, Schmid JA. The complexity of NF-κB signaling in inflammation and cancer. Mol Cancer (2013) 12:86. doi: 10.1186/1476-4598-12-86

PubMed Abstract | CrossRef Full Text | Google Scholar

65. Yeramian A, Santacana M, Sorolla A, Llobet D, Encinas M, Velasco A, et al. Nuclear factor-κB2/p100 promotes endometrial carcinoma cell survival under hypoxia in a HIF-1α independent manner. Lab Invest (2011) 91:859–71. doi: 10.1038/labinvest.2011.58

PubMed Abstract | CrossRef Full Text | Google Scholar

66. Yang M-G, Sun L, Han J, Zheng C, Liang H, Zhu J, et al. Biological characteristics of transcription factor RelB in different immune cell types: implications for the treatment of multiple sclerosis. Mol Brain (2019) 12:115. doi: 10.1186/s13041-019-0532-6

PubMed Abstract | CrossRef Full Text | Google Scholar

67. Carrà G, Avalle L, Seclì L, Brancaccio M, Morotti A. Shedding light on NF-κB functions in cellular organelles. Front Cell Dev Biol (2022) 10:841646. doi: 10.3389/fcell.2022.841646

PubMed Abstract | CrossRef Full Text | Google Scholar

68. Xiao G, Fong A, Sun S-C. Induction of p100 Processing by NF-κB-inducing Kinase Involves Docking IκB Kinase α (IKKα) to p100 and IKKα-mediated Phosphorylation*. J Biol Chem (2004) 279:30099–105. doi: 10.1074/jbc.M401428200

PubMed Abstract | CrossRef Full Text | Google Scholar

69. Nisr RB, Shah DS, Ganley IG, Hundal HS. Proinflammatory NFkB signalling promotes mitochondrial dysfunction in skeletal muscle in response to cellular fuel overloading. Cell Mol Life Sci (2019) 76:4887–904. doi: 10.1007/s00018-019-03148-8

PubMed Abstract | CrossRef Full Text | Google Scholar

70. Palazzo I, Todd LJ, Hoang TV, Reh TA, Blackshaw S, Fischer AJ. NFkB-signaling promotes glial reactivity and suppresses Müller glia-mediated neuron regeneration in the mammalian retina. Glia (2022) 70:1380–401. doi: 10.1002/glia.24181

PubMed Abstract | CrossRef Full Text | Google Scholar

71. Wullaert A, Bonnet MC, Pasparakis M. NF-κB in the regulation of epithelial homeostasis and inflammation. Cell Res (2011) 21:146–58. doi: 10.1038/cr.2010.175

PubMed Abstract | CrossRef Full Text | Google Scholar

72. Albensi BC. What is nuclear factor kappa B (NF-κB) doing in and to the mitochondrion? Front Cell Dev Biol (2019) 7. doi: 10.3389/fcell.2019.00154

PubMed Abstract | CrossRef Full Text | Google Scholar

73. Luo JL, Kamata H, Karin M. IKK/NF-kappaB signaling: balancing life and death–a new approach to cancer therapy. J Clin Invest (2005) 115:2625–32. doi: 10.1172/JCI26322

PubMed Abstract | CrossRef Full Text | Google Scholar

74. Zhang W, Xiao D, Mao Q, Xia H. Role of neuroinflammation in neurodegeneration development. Signal Transduction Targeted Ther (2023) 8:267. doi: 10.1038/s41392-023-01486-5

CrossRef Full Text | Google Scholar

75. Liu D, Zhong Z, Karin M. NF-κB: A double-edged sword controlling inflammation. Biomedicines (2022) 10. doi: 10.3390/biomedicines10061250

CrossRef Full Text | Google Scholar

76. De Zoete MR, Palm NW, Zhu S, Flavell RA. Inflammasomes. Cold Spring Harb Perspect Biol (2014) 6:a016287. doi: 10.1101/cshperspect.a016287

PubMed Abstract | CrossRef Full Text | Google Scholar

77. Direito R, Barbalho SM, Figueira ME, Minniti G, De Carvalho GM, De Oliveira Zanuso B, et al. Medicinal plants, phytochemicals and regulation of the NLRP3 inflammasome in inflammatory bowel diseases: A comprehensive review. Metabolites (2023) 13. doi: 10.3390/metabo13060728

PubMed Abstract | CrossRef Full Text | Google Scholar

78. Compan V, Martín-Sánchez F, Baroja-Mazo A, López-Castejón G, Gomez AI, Verkhratsky A, et al. Apoptosis-associated speck-like protein containing a CARD forms specks but does not activate caspase-1 in the absence of NLRP3 during macrophage swelling. J Immunol (2015) 194:1261–73. doi: 10.4049/jimmunol.1301676

PubMed Abstract | CrossRef Full Text | Google Scholar

79. Franchi L, Eigenbrod T, Muñoz-Planillo R, Nuñez G. The inflammasome: a caspase-1-activation platform that regulates immune responses and disease pathogenesis. Nat Immunol (2009) 10:241–7. doi: 10.1038/ni.1703

PubMed Abstract | CrossRef Full Text | Google Scholar

80. Sahoo M, Ceballos-Olvera I, Del Barrio L, Re F. Role of the inflammasome, IL-1β, and IL-18 in bacterial infections. ScientificWorldJournal (2011) 11:2037–50. doi: 10.1100/2011/212680

PubMed Abstract | CrossRef Full Text | Google Scholar

81. Krishnan SM, Sobey CG, Latz E, Mansell A, Drummond GR. IL-1β and IL-18: inflammatory markers or mediators of hypertension? Br J Pharmacol (2014) 171:5589–602. doi: 10.1111/bph.12876

PubMed Abstract | CrossRef Full Text | Google Scholar

82. Jiang C, Xie S, Yang G, Wang N. Spotlight on NLRP3 inflammasome: role in pathogenesis and therapies of atherosclerosis. J Inflammation Res (2021) 14:7143–72. doi: 10.2147/JIR.S344730

CrossRef Full Text | Google Scholar

83. Machtens DA, Bresch IP, Eberhage J, Reubold TF, Eschenburg S. The inflammasome activity of NLRP3 is independent of NEK7 in HEK293 cells co-expressing ASC. Int J Mol Sci (2022) 23. doi: 10.3390/ijms231810269

PubMed Abstract | CrossRef Full Text | Google Scholar

84. Bauernfeind FG, Horvath G, Stutz A, Alnemri ES, Macdonald K, Speert D, et al. Cutting edge: NF-kappaB activating pattern recognition and cytokine receptors license NLRP3 inflammasome activation by regulating NLRP3 expression. J Immunol (2009) 183:787–91. doi: 10.4049/jimmunol.0901363

PubMed Abstract | CrossRef Full Text | Google Scholar

85. Wang Z, Zhang S, Xiao Y, Zhang W, Wu S, Qin T, et al. NLRP3 inflammasome and inflammatory diseases. Oxid Med Cell Longev (2020) 2020:4063562. doi: 10.1155/2020/4063562

PubMed Abstract | CrossRef Full Text | Google Scholar

86. Blevins HM, Xu Y, Biby S, Zhang S. The NLRP3 inflammasome pathway: A review of mechanisms and inhibitors for the treatment of inflammatory diseases. Front Aging Neurosci (2022) 14. doi: 10.3389/fnagi.2022.879021

PubMed Abstract | CrossRef Full Text | Google Scholar

87. Mattson MP, Camandola S. NF-kappaB in neuronal plasticity and neurodegenerative disorders. J Clin Invest (2001) 107:247–54. doi: 10.1172/JCI11916

PubMed Abstract | CrossRef Full Text | Google Scholar

88. Shih RH, Wang CY, Yang CM. NF-kappaB signaling pathways in neurological inflammation: A mini review. Front Mol Neurosci (2015) 8:77. doi: 10.3389/fnmol.2015.00077

PubMed Abstract | CrossRef Full Text | Google Scholar

89. Bhandari R, Khanna G, Kaushik D, Kuhad A. Divulging the intricacies of crosstalk between NF-kb and nrf2-keap1 pathway in neurological complications of COVID-19. Mol Neurobiol (2021) 58:3347–61. doi: 10.1007/s12035-021-02344-7

PubMed Abstract | CrossRef Full Text | Google Scholar

90. Kaltschmidt B, Helweg LP, Greiner JFW, Kaltschmidt C. NF-κB in neurodegenerative diseases: Recent evidence from human genetics. Front Mol Neurosci (2022) 15:954541. doi: 10.3389/fnmol.2022.954541

PubMed Abstract | CrossRef Full Text | Google Scholar

91. Bellucci A, Bubacco L, Longhena F, Parrella E, Faustini G, Porrini V, et al. Nuclear factor-κB dysregulation and α-synuclein pathology: critical interplay in the pathogenesis of parkinson's disease. Front Aging Neurosci (2020) 12:68. doi: 10.3389/fnagi.2020.00068

PubMed Abstract | CrossRef Full Text | Google Scholar

92. Yakovleva T, Bazov I, Watanabe H, Hauser KF, Bakalkin G. Transcriptional control of maladaptive and protective responses in alcoholics: a role of the NF-κB system. Brain Behav Immun (2011) 25 Suppl 1:S29–38. doi: 10.1016/j.bbi.2010.12.019

PubMed Abstract | CrossRef Full Text | Google Scholar

93. Kaltschmidt B, Kaltschmidt C. NF-kappaB in the nervous system. Cold Spring Harb Perspect Biol (2009) 1:a001271. doi: 10.1101/cshperspect.a001271

PubMed Abstract | CrossRef Full Text | Google Scholar

94. Reiner A, Levitz J. Glutamatergic signaling in the central nervous system: ionotropic and metabotropic receptors in concert. Neuron (2018) 98:1080–98. doi: 10.1016/j.neuron.2018.05.018

PubMed Abstract | CrossRef Full Text | Google Scholar

95. Kaltschmidt B, Widera D, Kaltschmidt C. Signaling via NF-κB in the nervous system. Biochim Biophys Acta (BBA) - Mol Cell Res (2005) 1745:287–99. doi: 10.1016/j.bbamcr.2005.05.009

CrossRef Full Text | Google Scholar

96. Kaltschmidt B, Kaltschmidt C. NF-kappaB in long-term memory and structural plasticity in the adult mammalian brain. Front Mol Neurosci (2015) 8. doi: 10.3389/fnmol.2015.00069

PubMed Abstract | CrossRef Full Text | Google Scholar

97. Wellmann H, Kaltschmidt B, Kaltschmidt C. Retrograde transport of transcription factor NF-κB in living neurons*. J Biol Chem (2001) 276:11821–9. doi: 10.1074/jbc.M009253200

PubMed Abstract | CrossRef Full Text | Google Scholar

98. Bockhart V, Constantin CE, Häussler A, Wijnvoord N, Kanngiesser M, Myrczek T, et al. Inhibitor κB kinase β Deficiency in primary nociceptive neurons increases TRP channel sensitivity. J Neurosci (2009) 29:12919–29. doi: 10.1523/JNEUROSCI.1496-09.2009

PubMed Abstract | CrossRef Full Text | Google Scholar

99. Chen W, Sheng J, Guo J, Gao F, Zhao X, Dai J, et al. Tumor necrosis factor-α enhances voltage-gated Na+ currents in primary culture of mouse cortical neurons. J Neuroinflamm (2015) 12:126. doi: 10.1186/s12974-015-0349-x

CrossRef Full Text | Google Scholar

100. Jha NK, Jha SK, Kar R, Nand P, Swati K, Goswami VK. Nuclear factor-kappa β as a therapeutic target for Alzheimer's disease. J Neurochemistry (2019) 150:113–37. doi: 10.1111/jnc.14687

CrossRef Full Text | Google Scholar

101. Lilienbaum A, Israël A. From calcium to NF-kappa B signaling pathways in neurons. Mol Cell Biol (2003) 23:2680–98. doi: 10.1128/MCB.23.8.2680-2698.2003

PubMed Abstract | CrossRef Full Text | Google Scholar

102. Kratsovnik E, Bromberg Y, Sperling O, Zoref-Shani E. Oxidative stress activates transcription factor NF-kB-mediated protective signaling in primary rat neuronal cultures. J Mol Neurosci (2005) 26:27–32. doi: 10.1385/JMN:26:1:027

PubMed Abstract | CrossRef Full Text | Google Scholar

103. Mattson MP, Meffert MK. Roles for NF-κB in nerve cell survival, plasticity, and disease. Cell Death Differentiation (2006) 13:852–60. doi: 10.1038/sj.cdd.4401837

PubMed Abstract | CrossRef Full Text | Google Scholar

104. Latz E, Xiao TS, Stutz A. Activation and regulation of the inflammasomes. Nat Rev Immunol (2013) 13:397–411. doi: 10.1038/nri3452

PubMed Abstract | CrossRef Full Text | Google Scholar

105. Kelley N, Jeltema D, Duan Y, He Y. The NLRP3 inflammasome: an overview of mechanisms of activation and regulation. Int J Mol Sci (2019) 20. doi: 10.3390/ijms20133328

PubMed Abstract | CrossRef Full Text | Google Scholar

106. Babamale AO, Chen ST. Nod-like receptors: critical intracellular sensors for host protection and cell death in microbial and parasitic infections. Int J Mol Sci (2021) 22. doi: 10.3390/ijms222111398

PubMed Abstract | CrossRef Full Text | Google Scholar

107. Jo EK, Kim JK, Shin DM, Sasakawa C. Molecular mechanisms regulating NLRP3 inflammasome activation. Cell Mol Immunol (2016) 13:148–59. doi: 10.1038/cmi.2015.95

PubMed Abstract | CrossRef Full Text | Google Scholar

108. Chen MY, Ye XJ, He XH, Ouyang DY. The signaling pathways regulating NLRP3 inflammasome activation. Inflammation (2021) 44:1229–45. doi: 10.1007/s10753-021-01439-6

PubMed Abstract | CrossRef Full Text | Google Scholar

109. Feng YY, Chen H. [Nucleotide-binding oligomerization domain-like receptor family pyrin domain containing 3 inflammasome in alzheimer's disease]. Zhongguo Yi Xue Ke Xue Yuan Xue Bao (2021) 43:788–95. doi: 10.3881/j.issn.1000-503X.12585

PubMed Abstract | CrossRef Full Text | Google Scholar

110. Song L, Pei L, Yao S, Wu Y, Shang Y. NLRP3 inflammasome in neurological diseases, from functions to therapies. Front Cell Neurosci (2017) 11. doi: 10.3389/fncel.2017.00063

CrossRef Full Text | Google Scholar

111. Chen R, Yin C, Fang J, Liu B. The NLRP3 inflammasome: an emerging therapeutic target for chronic pain. J Neuroinflamm (2021) 18:84. doi: 10.1186/s12974-021-02131-0

CrossRef Full Text | Google Scholar

112. Chen QL, Yin HR, He QY, Wang Y. Targeting the NLRP3 inflammasome as new therapeutic avenue for inflammatory bowel disease. BioMed Pharmacother (2021) 138:111442. doi: 10.1016/j.biopha.2021.111442

PubMed Abstract | CrossRef Full Text | Google Scholar

113. Swanson KV, Deng M, Ting JP. The NLRP3 inflammasome: molecular activation and regulation to therapeutics. Nat Rev Immunol (2019) 19:477–89. doi: 10.1038/s41577-019-0165-0

PubMed Abstract | CrossRef Full Text | Google Scholar

114. Mao L, Kitani A, Strober W, Fuss IJ. The role of NLRP3 and IL-1β in the pathogenesis of inflammatory bowel disease. Front Immunol (2018) 9:2566. doi: 10.3389/fimmu.2018.02566

PubMed Abstract | CrossRef Full Text | Google Scholar

115. Makaremi S, Asgarzadeh A, Kianfar H, Mohammadnia A, Asghariazar V, Safarzadeh E. The role of IL-1 family of cytokines and receptors in pathogenesis of COVID-19. Inflammation Res (2022) 71:923–47. doi: 10.1007/s00011-022-01596-w

CrossRef Full Text | Google Scholar

116. Li Z, Guo J, Bi L. Role of the NLRP3 inflammasome in autoimmune diseases. Biomedicine Pharmacotherapy (2020) 130:110542. doi: 10.1016/j.biopha.2020.110542

PubMed Abstract | CrossRef Full Text | Google Scholar

117. Rosenzweig HL, Planck SR, Rosenbaum JT. NLRs in immune privileged sites. Curr Opin Pharmacol (2011) 11:423–8. doi: 10.1016/j.coph.2011.07.002

PubMed Abstract | CrossRef Full Text | Google Scholar

118. Zhang C, Zhao M, Wang B, Su Z, Guo B, Qin L, et al. The Nrf2-NLRP3-caspase-1 axis mediates the neuroprotective effects of Celastrol in Parkinson's disease. Redox Biol (2021) 47:102134. doi: 10.1016/j.redox.2021.102134

PubMed Abstract | CrossRef Full Text | Google Scholar

119. Arend WP, Palmer G, Gabay C. IL-1, IL-18, and IL-33 families of cytokines. Immunol Rev (2008) 223:20–38. doi: 10.1111/j.1600-065X.2008.00624.x

PubMed Abstract | CrossRef Full Text | Google Scholar

120. Dinarello CA, Simon A, van der Meer JW. Treating inflammation by blocking interleukin-1 in a broad spectrum of diseases. Nat Rev Drug Discovery (2012) 11:633–52. doi: 10.1038/nrd3800

CrossRef Full Text | Google Scholar

121. Chiarini A, Gui L, Viviani C, Armato U, Dal Prà I. NLRP3 inflammasome's activation in acute and chronic brain diseases-an update on pathogenetic mechanisms and therapeutic perspectives with respect to other inflammasomes. Biomedicines (2023) 11. doi: 10.3390/biomedicines11040999

PubMed Abstract | CrossRef Full Text | Google Scholar

122. Mcafoose J, Baune B. Evidence for a cytokine model of cognitive function. Neurosci Biobehav Rev (2009) 33:355–66. doi: 10.1016/j.neubiorev.2008.10.005

PubMed Abstract | CrossRef Full Text | Google Scholar

123. Kuwar R, Rolfe A, Di L, Blevins H, Xu Y, Sun X, et al. A novel inhibitor targeting NLRP3 inflammasome reduces neuropathology and improves cognitive function in alzheimer's disease transgenic mice. J Alzheimers Dis (2021) 82:1769–83. doi: 10.3233/JAD-210400

PubMed Abstract | CrossRef Full Text | Google Scholar

124. Ma G, Sun P, Chen Y, Jiang X, Zhang C, Qu B, et al. NLRP3 inflammasome activation contributes to the cognitive decline after cardiac surgery. Front Surg (2022) 9:992769. doi: 10.3389/fsurg.2022.992769

PubMed Abstract | CrossRef Full Text | Google Scholar

125. Hewett SJ, Jackman NA, Claycomb RJ. Interleukin-1β in central nervous system injury and repair. Eur J Neurodegener Dis (2012) 1:195–211.

PubMed Abstract | Google Scholar

126. Alvarez JI, Dodelet-Devillers A, Kebir H, Ifergan I, Fabre PJ, Terouz S, et al. The Hedgehog pathway promotes blood-brain barrier integrity and CNS immune quiescence. Science (2011) 334:1727–31. doi: 10.1126/science.1206936

PubMed Abstract | CrossRef Full Text | Google Scholar

127. Yang J, Ran M, Li H, Lin Y, Ma K, Yang Y, et al. New insight into neurological degeneration: Inflammatory cytokines and blood–brain barrier. Front Mol Neurosci (2022) 15. doi: 10.3389/fnmol.2022.1013933

CrossRef Full Text | Google Scholar

128. Mendiola AS, Cardona AE. The IL-1β phenomena in neuroinflammatory diseases. J Neural Transm (Vienna) (2018) 125:781–95. doi: 10.1007/s00702-017-1732-9

PubMed Abstract | CrossRef Full Text | Google Scholar

129. Ramesh G, Maclean AG, Philipp MT. Cytokines and chemokines at the crossroads of neuroinflammation, neurodegeneration, and neuropathic pain. Mediators Inflammation (2013) 2013:480739. doi: 10.1155/2013/480739

CrossRef Full Text | Google Scholar

130. Nakanishi K, Yoshimoto T, Tsutsui H, Okamura H. Interleukin-18 is a unique cytokine that stimulates both Th1 and Th2 responses depending on its cytokine milieu. Cytokine Growth Factor Rev (2001) 12:53–72. doi: 10.1016/S1359-6101(00)00015-0

PubMed Abstract | CrossRef Full Text | Google Scholar

131. Kany S, Vollrath JT, Relja B. Cytokines in inflammatory disease. Int J Mol Sci (2019) 20. doi: 10.3390/ijms20236008

PubMed Abstract | CrossRef Full Text | Google Scholar

132. Beurel E, Toups M, Nemeroff CB. The bidirectional relationship of depression and inflammation: double trouble. Neuron (2020) 107:234–56. doi: 10.1016/j.neuron.2020.06.002

PubMed Abstract | CrossRef Full Text | Google Scholar

133. Bergsbaken T, Fink SL, Cookson BT. Pyroptosis: host cell death and inflammation. Nat Rev Microbiol (2009) 7:99–109. doi: 10.1038/nrmicro2070

PubMed Abstract | CrossRef Full Text | Google Scholar

134. Long J, Sun Y, Liu S, Yang S, Chen C, Zhang Z, et al. Targeting pyroptosis as a preventive and therapeutic approach for stroke. Cell Death Discovery (2023) 9:155. doi: 10.1038/s41420-023-01440-y

PubMed Abstract | CrossRef Full Text | Google Scholar

135. Man SM, Karki R, Kanneganti TD. Molecular mechanisms and functions of pyroptosis, inflammatory caspases and inflammasomes in infectious diseases. Immunol Rev (2017) 277:61–75. doi: 10.1111/imr.12534

PubMed Abstract | CrossRef Full Text | Google Scholar

136. Montazersaheb S, Hosseiniyan Khatibi SM, Hejazi MS, Tarhriz V, Farjami A, Ghasemian Sorbeni F, et al. COVID-19 infection: an overview on cytokine storm and related interventions. Virol J (2022) 19:92. doi: 10.1186/s12985-022-01814-1

PubMed Abstract | CrossRef Full Text | Google Scholar

137. Morris G, Walker AJ, Berk M, Maes M, Puri BK. Cell death pathways: a novel therapeutic approach for neuroscientists. Mol Neurobiol (2018) 55:5767–86. doi: 10.1007/s12035-017-0793-y

PubMed Abstract | CrossRef Full Text | Google Scholar

138. Li T, Zheng G, Li B, Tang L. Pyroptosis: A promising therapeutic target for noninfectious diseases. Cell Prolif (2021) 54:e13137. doi: 10.1111/cpr.13137

PubMed Abstract | CrossRef Full Text | Google Scholar

139. Pan Y, Zeng X, Wen S, Liu X, Shang Q. Characterization of the Cap 'n' Collar Isoform C gene in Spodoptera frugiperda and its Association with Superoxide Dismutase. Insects (2020) 11. doi: 10.3390/insects11040221

CrossRef Full Text | Google Scholar

140. Laurindo LF, De Maio MC, Minniti G, De Góes Corrêa N, Barbalho SM, Quesada K, et al. Effects of medicinal plants and phytochemicals in nrf2 pathways during inflammatory bowel diseases and related colorectal cancer: A comprehensive review. Metabolites (2023) 13. doi: 10.3390/metabo13020243

CrossRef Full Text | Google Scholar

141. Li R, Jia Z, Zhu H. Regulation of nrf2 signaling. React Oxyg Species (Apex) (2019) 8:312–22. doi: 10.20455/ros.2019.865

PubMed Abstract | CrossRef Full Text | Google Scholar

142. Ma Q. Role of nrf2 in oxidative stress and toxicity. Annu Rev Pharmacol Toxicol (2013) 53:401–26. doi: 10.1146/annurev-pharmtox-011112-140320

PubMed Abstract | CrossRef Full Text | Google Scholar

143. Ulasov AV, Rosenkranz AA, Georgiev GP, Sobolev AS. Nrf2/Keap1/ARE signaling: Towards specific regulation. Life Sci (2022) 291:120111. doi: 10.1016/j.lfs.2021.120111

PubMed Abstract | CrossRef Full Text | Google Scholar

144. Kaspar JW, Niture SK, Jaiswal AK. Nrf2:INrf2 (Keap1) signaling in oxidative stress. Free Radic Biol Med (2009) 47:1304–9. doi: 10.1016/j.freeradbiomed.2009.07.035

PubMed Abstract | CrossRef Full Text | Google Scholar

145. Baird L, Yamamoto M. The molecular mechanisms regulating the KEAP1-NRF2 pathway. Mol Cell Biol (2020) 40. doi: 10.1128/MCB.00099-20

CrossRef Full Text | Google Scholar

146. Shilovsky GA, Dibrova DV. Regulation of cell proliferation and nrf2-mediated antioxidant defense: conservation of keap1 cysteines and nrf2 binding site in the context of the evolution of KLHL family. Life (Basel) (2023) 13. doi: 10.3390/life13041045

PubMed Abstract | CrossRef Full Text | Google Scholar

147. He F, Ru X, Wen T. NRF2, a transcription factor for stress response and beyond. Int J Mol Sci (2020) 21. doi: 10.3390/ijms21134777

CrossRef Full Text | Google Scholar

148. Kobayashi A, Kang MI, Watai Y, Tong KI, Shibata T, Uchida K, et al. Oxidative and electrophilic stresses activate Nrf2 through inhibition of ubiquitination activity of Keap1. Mol Cell Biol (2006) 26:221–9. doi: 10.1128/MCB.26.1.221-229.2006

PubMed Abstract | CrossRef Full Text | Google Scholar

149. Hirotsu Y, Katsuoka F, Funayama R, Nagashima T, Nishida Y, Nakayama K, et al. Nrf2-MafG heterodimers contribute globally to antioxidant and metabolic networks. Nucleic Acids Res (2012) 40:10228–39. doi: 10.1093/nar/gks827

PubMed Abstract | CrossRef Full Text | Google Scholar

150. Saha S, Buttari B, Panieri E, Profumo E, Saso L. An overview of nrf2 signaling pathway and its role in inflammation. Molecules (2020) 25. doi: 10.3390/molecules25225474

CrossRef Full Text | Google Scholar

151. Ichimura Y, Komatsu M. Activation of p62/SQSTM1-keap1-nuclear factor erythroid 2-related factor 2 pathway in cancer. Front Oncol (2018) 8:210. doi: 10.3389/fonc.2018.00210

PubMed Abstract | CrossRef Full Text | Google Scholar

152. Kageyama S, Saito T, Obata M, Koide RH, Ichimura Y, Komatsu M. Negative regulation of the keap1-nrf2 pathway by a p62/sqstm1 splicing variant. Mol Cell Biol (2018) 38. doi: 10.1128/MCB.00642-17

PubMed Abstract | CrossRef Full Text | Google Scholar

153. Dinkova-Kostova AT, Kostov RV, Canning P. Keap1, the cysteine-based mammalian intracellular sensor for electrophiles and oxidants. Arch Biochem Biophys (2017) 617:84–93. doi: 10.1016/j.abb.2016.08.005

PubMed Abstract | CrossRef Full Text | Google Scholar

154. Pankiv S, Clausen TH, Lamark T, Brech A, Bruun JA, Outzen H, et al. p62/SQSTM1 binds directly to Atg8/LC3 to facilitate degradation of ubiquitinated protein aggregates by autophagy. J Biol Chem (2007) 282:24131–45. doi: 10.1074/jbc.M702824200

PubMed Abstract | CrossRef Full Text | Google Scholar

155. Tang J, Li Y, Xia S, Li J, Yang Q, Ding K, et al. Sequestosome 1/p62: A multitasker in the regulation of Malignant tumor aggression (Review). Int J Oncol (2021) 59. doi: 10.3892/ijo.2021.5257

PubMed Abstract | CrossRef Full Text | Google Scholar

156. Jain A, Lamark T, Sjøttem E, Larsen KB, Awuh JA, Øvervatn A, et al. p62/SQSTM1 is a target gene for transcription factor NRF2 and creates a positive feedback loop by inducing antioxidant response element-driven gene transcription. J Biol Chem (2010) 285:22576–91. doi: 10.1074/jbc.M110.118976

PubMed Abstract | CrossRef Full Text | Google Scholar

157. Wu X, Sun R, Wang H, Yang B, Wang F, Xu H, et al. Enhanced p62-NRF2 Feedback Loop due to Impaired Autophagic Flux Contributes to Arsenic-Induced Malignant Transformation of Human Keratinocytes. Oxid Med Cell Longev (2019) 2019:1038932. doi: 10.1155/2019/1038932

PubMed Abstract | CrossRef Full Text | Google Scholar

158. Liu S, Pi J, Zhang Q. Signal amplification in the KEAP1-NRF2-ARE antioxidant response pathway. Redox Biol (2022) 54:102389. doi: 10.1016/j.redox.2022.102389

PubMed Abstract | CrossRef Full Text | Google Scholar

159. Wardyn JD, Ponsford AH, Sanderson CM. Dissecting molecular cross-talk between Nrf2 and NF-κB response pathways. Biochem Soc Trans (2015) 43:621–6. doi: 10.1042/BST20150014

PubMed Abstract | CrossRef Full Text | Google Scholar

160. Sun CC, Li SJ, Yang CL, Xue RL, Xi YY, Wang L, et al. Sulforaphane Attenuates Muscle Inflammation in Dystrophin-deficient mdx Mice via NF-E2-related Factor 2 (Nrf2)-mediated Inhibition of NF-κB Signaling Pathway. J Biol Chem (2015) 290:17784–95. doi: 10.1074/jbc.M115.655019

PubMed Abstract | CrossRef Full Text | Google Scholar

161. Staurengo-Ferrari L, Badaro-Garcia S, Hohmann MSN, Manchope MF, Zaninelli TH, Casagrande R, et al. Contribution of nrf2 modulation to the mechanism of action of analgesic and anti-inflammatory drugs in pre-clinical and clinical stages. Front Pharmacol (2018) 9:1536. doi: 10.3389/fphar.2018.01536

PubMed Abstract | CrossRef Full Text | Google Scholar

162. Lingappan K. NF-κB in oxidative stress. Curr Opin Toxicol (2018) 7:81–6. doi: 10.1016/j.cotox.2017.11.002

PubMed Abstract | CrossRef Full Text | Google Scholar

163. Ahmed SMU, Luo L, Namani A, Wang XJ, Tang X. Nrf2 signaling pathway: Pivotal roles in inflammation. Biochim Biophys Acta (BBA) - Mol Basis Dis (2017) 1863:585–97. doi: 10.1016/j.bbadis.2016.11.005

CrossRef Full Text | Google Scholar

164. Kwak MK, Itoh K, Yamamoto M, Kensler TW. Enhanced expression of the transcription factor Nrf2 by cancer chemopreventive agents: role of antioxidant response element-like sequences in the nrf2 promoter. Mol Cell Biol (2002) 22:2883–92. doi: 10.1128/MCB.22.9.2883-2892.2002

PubMed Abstract | CrossRef Full Text | Google Scholar

165. Lee OH, Jain AK, Papusha V, Jaiswal AK. An auto-regulatory loop between stress sensors INrf2 and Nrf2 controls their cellular abundance. J Biol Chem (2007) 282:36412–20. doi: 10.1074/jbc.M706517200

PubMed Abstract | CrossRef Full Text | Google Scholar

166. Ngo V, Duennwald ML. Nrf2 and oxidative stress: A general overview of mechanisms and implications in human disease. Antioxidants (Basel) (2022) 11. doi: 10.3390/antiox11122345

CrossRef Full Text | Google Scholar

167. Villavicencio Tejo F, Quintanilla RA. Contribution of the nrf2 pathway on oxidative damage and mitochondrial failure in parkinson and alzheimer's disease. Antioxidants (Basel) (2021) 10. doi: 10.3390/antiox10071069

PubMed Abstract | CrossRef Full Text | Google Scholar

168. Liu H, Johnston LJ, Wang F, Ma X. Triggers for the nrf2/ARE signaling pathway and its nutritional regulation: potential therapeutic applications of ulcerative colitis. Int J Mol Sci (2021) 22. doi: 10.3390/ijms222111411

CrossRef Full Text | Google Scholar

169. Joshi G, Johnson JA. The Nrf2-ARE pathway: a valuable therapeutic target for the treatment of neurodegenerative diseases. Recent Pat CNS Drug Discovery (2012) 7:218–29. doi: 10.2174/157488912803252023

CrossRef Full Text | Google Scholar

170. Hou Y, Dan X, Babbar M, Wei Y, Hasselbalch SG, Croteau DL, et al. Ageing as a risk factor for neurodegenerative disease. Nat Rev Neurol (2019) 15:565–81. doi: 10.1038/s41582-019-0244-7

PubMed Abstract | CrossRef Full Text | Google Scholar

171. Dinkova-Kostova AT, Kostov RV, Kazantsev AG. The role of Nrf2 signaling in counteracting neurodegenerative diseases. FEBS J (2018) 285:3576–90. doi: 10.1111/febs.14379

PubMed Abstract | CrossRef Full Text | Google Scholar

172. Saha S, Buttari B, Profumo E, Tucci P, Saso L. A perspective on nrf2 signaling pathway for neuroinflammation: A potential therapeutic target in alzheimer's and parkinson's diseases. Front Cell Neurosci (2021) 15:787258. doi: 10.3389/fncel.2021.787258

PubMed Abstract | CrossRef Full Text | Google Scholar

173. Esteras N, Dinkova-Kostova AT, Abramov AY. Nrf2 activation in the treatment of neurodegenerative diseases: a focus on its role in mitochondrial bioenergetics and function. Biol Chem (2016) 397:383–400. doi: 10.1515/hsz-2015-0295

PubMed Abstract | CrossRef Full Text | Google Scholar

174. Kobayashi EH, Suzuki T, Funayama R, Nagashima T, Hayashi M, Sekine H, et al. Nrf2 suppresses macrophage inflammatory response by blocking proinflammatory cytokine transcription. Nat Commun (2016) 7:11624. doi: 10.1038/ncomms11624

PubMed Abstract | CrossRef Full Text | Google Scholar

175. Singh S, Nagalakshmi D, Sharma KK, Ravichandiran V. Natural antioxidants for neuroinflammatory disorders and possible involvement of Nrf2 pathway: A review. Heliyon (2021) 7:e06216. doi: 10.1016/j.heliyon.2021.e06216

PubMed Abstract | CrossRef Full Text | Google Scholar

176. Tavakkoli A, Iranshahi M, Hasheminezhad SH, Hayes AW, Karimi G. The neuroprotective activities of natural products through the Nrf2 upregulation. Phytother Res (2019) 33:2256–73. doi: 10.1002/ptr.6427

PubMed Abstract | CrossRef Full Text | Google Scholar

177. Davies DA, Adlimoghaddam A, Albensi BC. Role of nrf2 in synaptic plasticity and memory in alzheimer's disease. Cells (2021) 10. doi: 10.3390/cells10081884

PubMed Abstract | CrossRef Full Text | Google Scholar

178. Wang Y, Gao L, Chen J, Li Q, Huo L, Wang Y, et al. Pharmacological modulation of nrf2/HO-1 signaling pathway as a therapeutic target of parkinson's disease. Front Pharmacol (2021) 12:757161. doi: 10.3389/fphar.2021.757161

PubMed Abstract | CrossRef Full Text | Google Scholar

179. Yang XX, Yang R, Zhang F. Role of nrf2 in parkinson's disease: toward new perspectives. Front Pharmacol (2022) 13:919233. doi: 10.3389/fphar.2022.919233

PubMed Abstract | CrossRef Full Text | Google Scholar

180. Chen-Roetling J, Regan RF. Targeting the nrf2-heme oxygenase-1 axis after intracerebral hemorrhage. Curr Pharm Des (2017) 23:2226–37. doi: 10.2174/1381612822666161027150616

PubMed Abstract | CrossRef Full Text | Google Scholar

181. Kahremany S, Hofmann L, Gruzman A, Dinkova-Kostova AT, Cohen G. NRF2 in dermatological disorders: Pharmacological activation for protection against cutaneous photodamage and photodermatosis. Free Radic Biol Med (2022) 188:262–76. doi: 10.1016/j.freeradbiomed.2022.06.238

PubMed Abstract | CrossRef Full Text | Google Scholar

182. Ryan DG, Knatko EV, Casey AM, Hukelmann JL, Dayalan Naidu S, Brenes AJ, et al. Nrf2 activation reprograms macrophage intermediary metabolism and suppresses the type I interferon response. iScience (2022) 25:103827. doi: 10.1016/j.isci.2022.103827

PubMed Abstract | CrossRef Full Text | Google Scholar

183. Sivandzade F, Prasad S, Bhalerao A, Cucullo L. NRF2 and NF-βB interplay in cerebrovascular and neurodegenerative disorders: Molecular mechanisms and possible therapeutic approaches. Redox Biol (2019) 21:101059. doi: 10.1016/j.redox.2018.11.017

PubMed Abstract | CrossRef Full Text | Google Scholar

184. Gao W, Guo L, Yang Y, Wang Y, Xia S, Gong H, et al. Dissecting the crosstalk between nrf2 and NF-κB response pathways in drug-induced toxicity. Front Cell Dev Biol (2021) 9:809952. doi: 10.3389/fcell.2021.809952

PubMed Abstract | CrossRef Full Text | Google Scholar

185. Lu MC, Ji JA, Jiang ZY, You QD. The keap1-nrf2-ARE pathway as a potential preventive and therapeutic target: an update. Med Res Rev (2016) 36:924–63. doi: 10.1002/med.21396

PubMed Abstract | CrossRef Full Text | Google Scholar

186. Rajmohan R, Reddy PH. Amyloid-Beta and Phosphorylated Tau Accumulations Cause Abnormalities at Synapses of Alzheimer's disease Neurons. J Alzheimers Dis (2017) 57:975–99. doi: 10.3233/JAD-160612

PubMed Abstract | CrossRef Full Text | Google Scholar

187. Surmeier DJ. Determinants of dopaminergic neuron loss in Parkinson's disease. FEBS J (2018) 285:3657–68. doi: 10.1111/febs.14607

PubMed Abstract | CrossRef Full Text | Google Scholar

188. Zindler E, Zipp F. Neuronal injury in chronic CNS inflammation. Best Pract Res Clin Anaesthesiol (2010) 24:551–62. doi: 10.1016/j.bpa.2010.11.001

PubMed Abstract | CrossRef Full Text | Google Scholar

189. Jain M, Singh MK, Shyam H, Mishra A, Kumar S, Kumar A, et al. Role of JAK/STAT in the neuroinflammation and its association with neurological disorders. Ann Neurosci (2021) 28:191–200. doi: 10.1177/09727531211070532

PubMed Abstract | CrossRef Full Text | Google Scholar

190. Ivashkiv LB, Hu X. Signaling by STATs. Arthritis Res Ther (2004) 6:159–68. doi: 10.1186/ar1197

PubMed Abstract | CrossRef Full Text | Google Scholar

191. Okutani Y, Kitanaka A, Tanaka T, Kamano H, Ohnishi H, Kubota Y, et al. Src directly tyrosine-phosphorylates STAT5 on its activation site and is involved in erythropoietin-induced signaling pathway. Oncogene (2001) 20:6643–50. doi: 10.1038/sj.onc.1204807

PubMed Abstract | CrossRef Full Text | Google Scholar

192. Jatiani SS, Baker SJ, Silverman LR, Reddy EP. Jak/STAT pathways in cytokine signaling and myeloproliferative disorders: approaches for targeted therapies. Genes Cancer (2010) 1:979–93. doi: 10.1177/1947601910397187

PubMed Abstract | CrossRef Full Text | Google Scholar

193. Seif F, Khoshmirsafa M, Aazami H, Mohsenzadegan M, Sedighi G, Bahar M. The role of JAK-STAT signaling pathway and its regulators in the fate of T helper cells. Cell Communication Signaling (2017) 15:23. doi: 10.1186/s12964-017-0177-y

PubMed Abstract | CrossRef Full Text | Google Scholar

194. Mendiola AS, Yan Z, Dixit K, Johnson JR, Bouhaddou M, Meyer-Franke A, et al. Defining blood-induced microglia functions in neurodegeneration through multiomic profiling. Nat Immunol (2023) 24:1173–87. doi: 10.1038/s41590-023-01522-0

PubMed Abstract | CrossRef Full Text | Google Scholar

195. Bousoik E, Montazeri Aliabadi H. “Do we know jack” About JAK? A closer look at JAK/STAT signaling pathway. Front Oncol (2018) 8. doi: 10.3389/fonc.2018.00287

PubMed Abstract | CrossRef Full Text | Google Scholar

196. O'shea JJ, Schwartz DM, Villarino AV, Gadina M, Mcinnes IB, Laurence A. The JAK-STAT pathway: impact on human disease and therapeutic intervention. Annu Rev Med (2015) 66:311–28. doi: 10.1146/annurev-med-051113-024537

PubMed Abstract | CrossRef Full Text | Google Scholar

197. Zhang T, Kee WH, Seow KT, Fung W, Cao X. The coiled-coil domain of Stat3 is essential for its SH2 domain-mediated receptor binding and subsequent activation induced by epidermal growth factor and interleukin-6. Mol Cell Biol (2000) 20:7132–9. doi: 10.1128/MCB.20.19.7132-7139.2000

PubMed Abstract | CrossRef Full Text | Google Scholar

198. Garcia-Lezana T, Lopez-Canovas JL, Villanueva A. Chapter Two - Signaling pathways in hepatocellular carcinoma. In: Sarkar D, Fisher PB, editors. Advances in cancer research. Academic Press (2021). p. 63–101.

Google Scholar

199. Hu X, Li J, Fu M, Zhao X, Wang W. The JAK/STAT signaling pathway: from bench to clinic. Signal Transduct Target Ther (2021) 6:402. doi: 10.1038/s41392-021-00791-1

PubMed Abstract | CrossRef Full Text | Google Scholar

200. Li WX. Canonical and non-canonical JAK-STAT signaling. Trends Cell Biol (2008) 18:545–51. doi: 10.1016/j.tcb.2008.08.008

PubMed Abstract | CrossRef Full Text | Google Scholar

201. Morris R, Kershaw NJ, Babon JJ. The molecular details of cytokine signaling via the JAK/STAT pathway. Protein Sci (2018) 27:1984–2009. doi: 10.1002/pro.3519

PubMed Abstract | CrossRef Full Text | Google Scholar

202. Wang L, Zhao D, Wang H, Wang L, Liu X, Zhang H. FPS-ZM1 inhibits LPS-induced microglial inflammation by suppressing JAK/STAT signaling pathway. Int Immunopharmacol (2021) 100:108117. doi: 10.1016/j.intimp.2021.108117

PubMed Abstract | CrossRef Full Text | Google Scholar

203. Valle-Mendiola A, Gutiérrez-Hoya A, Soto-Cruz I. JAK/STAT signaling and cervical cancer: from the cell surface to the nucleus. Genes (2023) 14:1141. doi: 10.3390/genes14061141

PubMed Abstract | CrossRef Full Text | Google Scholar

204. Chiba T, Yamada M, Aiso S. Targeting the JAK2/STAT3 axis in Alzheimer's disease. Expert Opin Ther Targets (2009) 13:1155–67. doi: 10.1517/14728220903213426

PubMed Abstract | CrossRef Full Text | Google Scholar

205. Rusek M, Smith J, El-Khatib K, Aikins K, Czuczwar SJ, Pluta R. The role of the JAK/STAT signaling pathway in the pathogenesis of alzheimer's disease: new potential treatment target. Int J Mol Sci (2023) 24. doi: 10.3390/ijms24010864

PubMed Abstract | CrossRef Full Text | Google Scholar

206. Varma VR, Desai RJ, Navakkode S, Wong LW, Anerillas C, Loeffler T, et al. Hydroxychloroquine lowers Alzheimer's disease and related dementias risk and rescues molecular phenotypes related to Alzheimer's disease. Mol Psychiatry (2023) 28:1312–26. doi: 10.1038/s41380-022-01912-0

PubMed Abstract | CrossRef Full Text | Google Scholar

207. Qin H, Buckley JA, Li X, Liu Y, Fox TH, 3rd, Meares GP, et al. Inhibition of the JAK/STAT pathway protects against α-synuclein-induced neuroinflammation and dopaminergic neurodegeneration. J Neurosci (2016) 36:5144–59. doi: 10.1523/JNEUROSCI.4658-15.2016

PubMed Abstract | CrossRef Full Text | Google Scholar

208. Khera R, Mehan S, Kumar S, Sethi P, Bhalla S, Prajapati A. Role of JAK-STAT and PPAR-gamma signalling modulators in the prevention of autism and neurological dysfunctions. Mol Neurobiol (2022) 59:3888–912. doi: 10.1007/s12035-022-02819-1

PubMed Abstract | CrossRef Full Text | Google Scholar

209. Shao S, Chen C, Shi G, Zhou Y, Wei Y, Wu L, et al. JAK inhibition ameliorated experimental autoimmune encephalomyelitis by blocking GM-CSF-driven inflammatory signature of monocytes. Acta Pharm Sin B (2023) 13:4185–201. doi: 10.1016/j.apsb.2023.07.026

PubMed Abstract | CrossRef Full Text | Google Scholar

210. Chen JY, Tian XY, Wei SS, Xu W, Pan RR, Chen LL, et al. Magnolol as STAT3 inhibitor for treating multiple sclerosis by restricting Th17 cells. Phytomedicine (2023) 117:154917. doi: 10.1016/j.phymed.2023.154917

PubMed Abstract | CrossRef Full Text | Google Scholar

211. Nie L, Cai SY, Shao JZ, Chen J. Toll-like receptors, associated biological roles, and signaling networks in non-mammals. Front Immunol (2018) 9:1523. doi: 10.3389/fimmu.2018.01523

PubMed Abstract | CrossRef Full Text | Google Scholar

212. Goulopoulou S, Mccarthy CG, Webb RC. Toll-like receptors in the vascular system: sensing the dangers within. Pharmacol Rev (2016) 68:142–67. doi: 10.1124/pr.114.010090

PubMed Abstract | CrossRef Full Text | Google Scholar

213. El-Zayat SR, Sibaii H, Mannaa FA. Toll-like receptors activation, signaling, and targeting: an overview. Bull Natl Res Centre (2019) 43:187. doi: 10.1186/s42269-019-0227-2

CrossRef Full Text | Google Scholar

214. Miller LS. Toll-like receptors in skin. Adv Dermatol (2008) 24:71–87. doi: 10.1016/j.yadr.2008.09.004

PubMed Abstract | CrossRef Full Text | Google Scholar

215. Mäkelä SM, Strengell M, Pietilä TE, Osterlund P, Julkunen I. Multiple signaling pathways contribute to synergistic TLR ligand-dependent cytokine gene expression in human monocyte-derived macrophages and dendritic cells. J Leukoc Biol (2009) 85:664–72. doi: 10.1189/jlb.0808503

PubMed Abstract | CrossRef Full Text | Google Scholar

216. Kawasaki T, Kawai T. Toll-like receptor signaling pathways. Front Immunol (2014) 5. doi: 10.3389/fimmu.2014.00461

PubMed Abstract | CrossRef Full Text | Google Scholar

217. Gao W, Xiong Y, Li Q, Yang H. Inhibition of toll-like receptor signaling as a promising therapy for inflammatory diseases: A journey from molecular to nano therapeutics. Front Physiol (2017) 8:508. doi: 10.3389/fphys.2017.00508

PubMed Abstract | CrossRef Full Text | Google Scholar

218. Kawai T, Akira S. The roles of TLRs, RLRs and NLRs in pathogen recognition. Int Immunol (2009) 21:317–37. doi: 10.1093/intimm/dxp017

PubMed Abstract | CrossRef Full Text | Google Scholar

219. Sameer AS, Nissar S. Toll-like receptors (TLRs): structure, functions, signaling, and role of their polymorphisms in colorectal cancer susceptibility. BioMed Res Int (2021) 2021:1157023. doi: 10.1155/2021/1157023

PubMed Abstract | CrossRef Full Text | Google Scholar

220. Botos I, Segal DM, Davies DR. The structural biology of Toll-like receptors. Structure (2011) 19:447–59. doi: 10.1016/j.str.2011.02.004

PubMed Abstract | CrossRef Full Text | Google Scholar

221. Chang ZL. Important aspects of Toll-like receptors, ligands and their signaling pathways. Inflammation Res (2010) 59:791–808. doi: 10.1007/s00011-010-0208-2

CrossRef Full Text | Google Scholar

222. Fukata M, Abreu MT. Chapter 41 - mucosal bacterial recognition and signaling systems in the intestine. In: Johnson LR, Ghishan FK, Kaunitz JD, Merchant JL, Said HM, Wood JD, editors. Physiology of the gastrointestinal tract, Fifth Edition. Boston: Academic Press (2012). p. 1135–45.

Google Scholar

223. Bell JK, Mullen GE, Leifer CA, Mazzoni A, Davies DR, Segal DM. Leucine-rich repeats and pathogen recognition in Toll-like receptors. Trends Immunol (2003) 24:528–33. doi: 10.1016/S1471-4906(03)00242-4

PubMed Abstract | CrossRef Full Text | Google Scholar

224. Fiebich BL, Batista CRA, Saliba SW, Yousif NM, De Oliveira ACP. Role of microglia TLRs in neurodegeneration. Front Cell Neurosci (2018) 12. doi: 10.3389/fncel.2018.00329

PubMed Abstract | CrossRef Full Text | Google Scholar

225. Dabi YT, Ajagbe AO, Degechisa ST. Toll-like receptors in pathogenesis of neurodegenerative diseases and their therapeutic potential. Immunity Inflammation Dis (2023) 11:e839. doi: 10.1002/iid3.839

CrossRef Full Text | Google Scholar

226. Wu L, Xian X, Xu G, Tan Z, Dong F, Zhang M, et al. Toll-like receptor 4: A promising therapeutic target for alzheimer's disease. Mediators Inflammation (2022) 2022:7924199. doi: 10.1155/2022/7924199

CrossRef Full Text | Google Scholar

227. Heidari A, Yazdanpanah N, Rezaei N. The role of Toll-like receptors and neuroinflammation in Parkinson's disease. J Neuroinflamm (2022) 19:135. doi: 10.1186/s12974-022-02496-w

CrossRef Full Text | Google Scholar

228. Da Silva DJ, Borges AF, Souza PO, De Souza PR, Cardoso CR, Dorta ML, et al. Decreased toll-like receptor 2 and toll-like receptor 7/8-induced cytokines in parkinson's disease patients. Neuroimmunomodulation (2016) 23:58–66. doi: 10.1159/000443238

PubMed Abstract | CrossRef Full Text | Google Scholar

229. Bsibsi M, Ravid R, Gveric D, Van Noort JM. Broad expression of Toll-like receptors in the human central nervous system. J Neuropathol Exp Neurol (2002) 61:1013–21. doi: 10.1093/jnen/61.11.1013

PubMed Abstract | CrossRef Full Text | Google Scholar

230. Hossain MJ, Morandi E, Tanasescu R, Frakich N, Caldano M, Onion D, et al. The soluble form of toll-like receptor 2 is elevated in serum of multiple sclerosis patients: A novel potential disease biomarker. Front Immunol (2018) 9:457. doi: 10.3389/fimmu.2018.00457

PubMed Abstract | CrossRef Full Text | Google Scholar

231. Ferreira TB, Hygino J, Wing AC, Kasahara TM, Sacramento PM, Camargo S, et al. Different interleukin-17-secreting Toll-like receptor(+) T-cell subsets are associated with disease activity in multiple sclerosis. Immunology (2018) 154:239–52. doi: 10.1111/imm.12872

PubMed Abstract | CrossRef Full Text | Google Scholar

232. Nyirenda MH, Morandi E, Vinkemeier U, Constantin-Teodosiu D, Drinkwater S, Mee M, et al. TLR2 stimulation regulates the balance between regulatory T cell and Th17 function: a novel mechanism of reduced regulatory T cell function in multiple sclerosis. J Immunol (2015) 194:5761–74. doi: 10.4049/jimmunol.1400472

PubMed Abstract | CrossRef Full Text | Google Scholar

233. Tong CK, Vidyadaran S. Role of microglia in embryonic neurogenesis. Exp Biol Med (Maywood) (2016) 241:1669–75. doi: 10.1177/1535370216664430

PubMed Abstract | CrossRef Full Text | Google Scholar

234. Li M, Li Z, Ren H, Jin WN, Wood K, Liu Q, et al. Colony stimulating factor 1 receptor inhibition eliminates microglia and attenuates brain injury after intracerebral hemorrhage. J Cereb Blood Flow Metab (2017) 37:2383–95. doi: 10.1177/0271678X16666551

PubMed Abstract | CrossRef Full Text | Google Scholar

235. Guan Y-H, Zhang L-J, Wang S-Y, Deng Y-D, Zhou H-S, Chen D-Q, et al. The role of microglia in Alzheimer's disease and progress of treatment. Ibrain (2022) 8:37–47. doi: 10.1002/ibra.12023

PubMed Abstract | CrossRef Full Text | Google Scholar

236. Gao C, Jiang J, Tan Y, Chen S. Microglia in neurodegenerative diseases: mechanism and potential therapeutic targets. Signal Transduction Targeted Ther (2023) 8:359. doi: 10.1038/s41392-023-01588-0

CrossRef Full Text | Google Scholar

237. Orihuela R, Mcpherson CA, Harry GJ. Microglial M1/M2 polarization and metabolic states. Br J Pharmacol (2016) 173:649–65. doi: 10.1111/bph.13139

PubMed Abstract | CrossRef Full Text | Google Scholar

238. Lively S, Schlichter LC. Microglia responses to pro-inflammatory stimuli (LPS, IFNγ+TNFα) and reprogramming by resolving cytokines (IL-4, IL-10). Front Cell Neurosci (2018) 12:215. doi: 10.3389/fncel.2018.00215

PubMed Abstract | CrossRef Full Text | Google Scholar

239. Guo S, Wang H, Yin Y. Microglia polarization from M1 to M2 in neurodegenerative diseases. Front Aging Neurosci (2022) 14:815347. doi: 10.3389/fnagi.2022.815347

PubMed Abstract | CrossRef Full Text | Google Scholar

240. Colonna M, Butovsky O. Microglia function in the central nervous system during health and neurodegeneration. Annu Rev Immunol (2017) 35:441–68. doi: 10.1146/annurev-immunol-051116-052358

PubMed Abstract | CrossRef Full Text | Google Scholar

241. Zhang W, Tian T, Gong SX, Huang WQ, Zhou QY, Wang AP, et al. Microglia-associated neuroinflammation is a potential therapeutic target for ischemic stroke. Neural Regener Res (2021) 16:6–11. doi: 10.4103/1673-5374.286954

CrossRef Full Text | Google Scholar

242. Palasz E, Wilkaniec A, Stanaszek L, Andrzejewska A, Adamczyk A. Glia-neurotrophic factor relationships: possible role in pathobiology of neuroinflammation-related brain disorders. Int J Mol Sci (2023) 24. doi: 10.3390/ijms24076321

PubMed Abstract | CrossRef Full Text | Google Scholar

243. Stratoulias V, Venero JL, Tremblay M, Joseph B. Microglial subtypes: diversity within the microglial community. EMBO J (2019) 38:e101997. doi: 10.15252/embj.2019101997

PubMed Abstract | CrossRef Full Text | Google Scholar

244. Sebastian J, David B-V, Cristina C, Ines M-G, Manuel T, Raquel S-V, et al. Inflammatory response in the hippocampus of PS1&lt;sub<M146L&lt;/sub</APP&lt;sub<751SL&lt;/sub< Mouse model of alzheimer's disease: age-dependent switch in the microglial phenotype from alternative to classic. J Neurosci (2008) 28:11650. doi: 10.1523/JNEUROSCI.3024-08.2008

PubMed Abstract | CrossRef Full Text | Google Scholar

245. Wendimu MY, Hooks SB. Microglia phenotypes in aging and neurodegenerative diseases. Cells (2022) 11. doi: 10.3390/cells11132091

PubMed Abstract | CrossRef Full Text | Google Scholar

246. Zöller T, Schneider A, Kleimeyer C, Masuda T, Potru PS, Pfeifer D, et al. Silencing of TGFβ signalling in microglia results in impaired homeostasis. Nat Commun (2018) 9:4011. doi: 10.1038/s41467-018-06224-y

PubMed Abstract | CrossRef Full Text | Google Scholar

247. Tichauer JE, Flores B, Soler B, Eugenín-Von Bernhardi L, Ramírez G, Von Bernhardi R. Age-dependent changes on TGFβ1 Smad3 pathway modify the pattern of microglial cell activation. Brain Behav Immun (2014) 37:187–96. doi: 10.1016/j.bbi.2013.12.018

PubMed Abstract | CrossRef Full Text | Google Scholar

248. Hammond TR, Dufort C, Dissing-Olesen L, Giera S, Young A, Wysoker A, et al. Single-cell RNA sequencing of microglia throughout the mouse lifespan and in the injured brain reveals complex cell-state changes. Immunity (2019) 50:253–271.e256. doi: 10.1016/j.immuni.2018.11.004

PubMed Abstract | CrossRef Full Text | Google Scholar

249. Griciuc A, Patel S, Federico AN, Choi SH, Innes BJ, Oram MK, et al. TREM2 acts downstream of CD33 in modulating microglial pathology in alzheimer's disease. Neuron (2019) 103:820–835.e827. doi: 10.1016/j.neuron.2019.06.010

PubMed Abstract | CrossRef Full Text | Google Scholar

250. Pulido-Salgado M, Vidal-Taboada JM, Barriga GG, Solà C, Saura J. RNA-Seq transcriptomic profiling of primary murine microglia treated with LPS or LPS + IFNγ. Sci Rep (2018) 8:16096. doi: 10.1038/s41598-018-34412-9

PubMed Abstract | CrossRef Full Text | Google Scholar

251. Deczkowska A, Keren-Shaul H, Weiner A, Colonna M, Schwartz M, Amit I. Disease-associated microglia: A universal immune sensor of neurodegeneration. Cell (2018) 173:1073–81. doi: 10.1016/j.cell.2018.05.003

PubMed Abstract | CrossRef Full Text | Google Scholar

252. Wang H. Microglia heterogeneity in alzheimer’s disease: insights from single-cell technologies. Front Synaptic Neurosci (2021) 13. doi: 10.3389/fnsyn.2021.773590

PubMed Abstract | CrossRef Full Text | Google Scholar

253. Otero K, Turnbull IR, Poliani PL, Vermi W, Cerutti E, Aoshi T, et al. Macrophage colony-stimulating factor induces the proliferation and survival of macrophages via a pathway involving DAP12 and β-catenin. Nat Immunol (2009) 10:734–43. doi: 10.1038/ni.1744

PubMed Abstract | CrossRef Full Text | Google Scholar

254. Peng Q, Malhotra S, Torchia JA, Kerr WG, Coggeshall KM, Humphrey MB. TREM2-and DAP12-dependent activation of PI3K requires DAP10 and is inhibited by SHIP1. Sci Signaling (2010) 3:ra38–8. doi: 10.1126/scisignal.2000500

CrossRef Full Text | Google Scholar

255. Ulland TK, Song WM, Huang SC-C, Ulrich JD, Sergushichev A, Beatty WL, et al. TREM2 maintains microglial metabolic fitness in Alzheimer’s disease. Cell (2017) 170:649–63. doi: 10.1016/j.cell.2017.07.023

PubMed Abstract | CrossRef Full Text | Google Scholar

256. Guerrero BL, Sicotte NL. Microglia in multiple sclerosis: friend or foe? Front Immunol (2020) 11:374. doi: 10.3389/fimmu.2020.00374

PubMed Abstract | CrossRef Full Text | Google Scholar

257. Mitchell D, Shireman J, Sierra Potchanant EA, Lara-Velazquez M, Dey M. Neuroinflammation in autoimmune disease and primary brain tumors: the quest for striking the right balance. Front Cell Neurosci (2021) 15:716947. doi: 10.3389/fncel.2021.716947

PubMed Abstract | CrossRef Full Text | Google Scholar

258. Bogie JF, Stinissen P, Hendriks JJ. Macrophage subsets and microglia in multiple sclerosis. Acta Neuropathol (2014) 128:191–213. doi: 10.1007/s00401-014-1310-2

PubMed Abstract | CrossRef Full Text | Google Scholar

259. Moore CS, Ase AR, Kinsara A, Rao VT, Michell-Robinson M, Leong SY, et al. P2Y12 expression and function in alternatively activated human microglia. Neurol Neuroimmunol Neuroinflamm (2015) 2:e80. doi: 10.1212/NXI.0000000000000080

PubMed Abstract | CrossRef Full Text | Google Scholar

260. Zrzavy T, Hametner S, Wimmer I, Butovsky O, Weiner HL, Lassmann H. Loss of ‘homeostatic’microglia and patterns of their activation in active multiple sclerosis. Brain (2017) 140:1900–13. doi: 10.1093/brain/awx113

PubMed Abstract | CrossRef Full Text | Google Scholar

261. Singh S, Metz I, Amor S, van der Valk P, Stadelmann C, Brück W. Microglial nodules in early multiple sclerosis white matter are associated with degenerating axons. Acta Neuropathol (2013) 125:595–608. doi: 10.1007/s00401-013-1082-0

PubMed Abstract | CrossRef Full Text | Google Scholar

262. Van Der Poel M, Ulas T, Mizee MR, Hsiao C-C, Miedema SSM, Adelia, et al. Transcriptional profiling of human microglia reveals grey–white matter heterogeneity and multiple sclerosis-associated changes. Nat Commun (2019) 10:1139. doi: 10.1038/s41467-019-08976-7

PubMed Abstract | CrossRef Full Text | Google Scholar

263. Lee J, Hamanaka G, Lo EH, Arai K. Heterogeneity of microglia and their differential roles in white matter pathology. CNS Neurosci Ther (2019) 25:1290–8. doi: 10.1111/cns.13266

PubMed Abstract | CrossRef Full Text | Google Scholar

264. O'loughlin E, Madore C, Lassmann H, Butovsky O. Microglial phenotypes and functions in multiple sclerosis. Cold Spring Harb Perspect Med (2018) 8. doi: 10.1101/cshperspect.a028993

PubMed Abstract | CrossRef Full Text | Google Scholar

265. Mado H, Adamczyk-Sowa M, Sowa P. Role of microglial cells in the pathophysiology of MS: synergistic or antagonistic? Int J Mol Sci (2023) 24. doi: 10.3390/ijms24031861

PubMed Abstract | CrossRef Full Text | Google Scholar

266. Radandish M, Khalilian P, Esmaeil N. The role of distinct subsets of macrophages in the pathogenesis of MS and the impact of different therapeutic agents on these populations. Front Immunol (2021) 12:667705. doi: 10.3389/fimmu.2021.667705

PubMed Abstract | CrossRef Full Text | Google Scholar

267. Xu T, Liu C, Deng S, Gan L, Zhang Z, Yang GY, et al. The roles of microglia and astrocytes in myelin phagocytosis in the central nervous system. J Cereb Blood Flow Metab (2023) 43:325–40. doi: 10.1177/0271678X221137762

PubMed Abstract | CrossRef Full Text | Google Scholar

268. Traiffort E, Kassoussi A, Zahaf A, Laouarem Y. Astrocytes and microglia as major players of myelin production in normal and pathological conditions. Front Cell Neurosci (2020) 14:79. doi: 10.3389/fncel.2020.00079

PubMed Abstract | CrossRef Full Text | Google Scholar

269. Sidoryk-Węgrzynowicz M, Strużyńska L. Astroglial and microglial purinergic P2X7 receptor as a major contributor to neuroinflammation during the course of multiple sclerosis. Int J Mol Sci (2021) 22. doi: 10.3390/ijms22168404

CrossRef Full Text | Google Scholar

270. Lassmann H. Pathology of inflammatory diseases of the nervous system: Human disease versus animal models. Glia (2020) 68:830–44. doi: 10.1002/glia.23726

PubMed Abstract | CrossRef Full Text | Google Scholar

271. Eixarch H, Calvo-Barreiro L, Montalban X, Espejo C. Bone morphogenetic proteins in multiple sclerosis: Role in neuroinflammation. Brain Behavior Immun (2018) 68:1–10. doi: 10.1016/j.bbi.2017.02.019

CrossRef Full Text | Google Scholar

272. Costa C, Eixarch H, Martínez-Sáez E, Calvo-Barreiro L, Calucho M, Castro Z, et al. Expression of bone morphogenetic proteins in multiple sclerosis lesions. Am J Pathol (2019) 189:665–76. doi: 10.1016/j.ajpath.2018.11.007

PubMed Abstract | CrossRef Full Text | Google Scholar

273. Harnisch K, Teuber-Hanselmann S, Macha N, Mairinger F, Fritsche L, Soub D, et al. Myelination in multiple sclerosis lesions is associated with regulation of bone morphogenetic protein 4 and its antagonist noggin. Int J Mol Sci (2019) 20. doi: 10.3390/ijms20010154

PubMed Abstract | CrossRef Full Text | Google Scholar

274. Wittekindt M, Kaddatz H, Joost S, Staffeld A, Bitar Y, Kipp M, et al. Different methods for evaluating microglial activation using anti-ionized calcium-binding adaptor protein-1 immunohistochemistry in the cuprizone model. Cells (2022) 11. doi: 10.3390/cells11111723

PubMed Abstract | CrossRef Full Text | Google Scholar

275. Sadovnick AD, Traboulsee AL, Lee JD, Ross JP, Bernales CQ, Vilariño-Güell C. Colony stimulation factor 1 receptor (CSF1R) is not a common cause of multiple sclerosis. Eur J Neurol (2013) 20:e115. doi: 10.1111/ene.12213

PubMed Abstract | CrossRef Full Text | Google Scholar

276. Konno T, Kasanuki K, Ikeuchi T, Dickson DW, Wszolek ZK. CSF1R-related leukoencephalopathy: A major player in primary microgliopathies. Neurology (2018) 91:1092–104. doi: 10.1212/WNL.0000000000006642

PubMed Abstract | CrossRef Full Text | Google Scholar

277. Mickeviciute G-C, Valiuskyte M, Plattén M, Wszolek ZK, Andersen O, Danylaité Karrenbauer V, et al. Neuroimaging phenotypes of CSF1R-related leukoencephalopathy: Systematic review, meta-analysis, and imaging recommendations. J Internal Med (2022) 291:269–82. doi: 10.1111/joim.13420

PubMed Abstract | CrossRef Full Text | Google Scholar

278. Jiang J, Li W, Wang X, Du Z, Chen J, Liu Y, et al. Two novel intronic mutations in the CSF1R gene in two families with CSF1R-microglial encephalopathy. Front Cell Dev Biol (2022) 10. doi: 10.3389/fcell.2022.902067

CrossRef Full Text | Google Scholar

279. Long JM, Holtzman DM. Alzheimer disease: an update on pathobiology and treatment strategies. Cell (2019) 179:312–39. doi: 10.1016/j.cell.2019.09.001

PubMed Abstract | CrossRef Full Text | Google Scholar

280. Ferreira ST, Lourenco MV, Oliveira MM, De Felice FG. Soluble amyloid-β oligomers as synaptotoxins leading to cognitive impairment in Alzheimer's disease. Front Cell Neurosci (2015) 9:191. doi: 10.3389/fncel.2015.00191

PubMed Abstract | CrossRef Full Text | Google Scholar

281. Blurton-Jones M, Kitazawa M, Martinez-Coria H, Castello NA, Müller FJ, Loring JF, et al. Neural stem cells improve cognition via BDNF in a transgenic model of Alzheimer disease. Proc Natl Acad Sci U.S.A. (2009) 106:13594–9. doi: 10.1073/pnas.0901402106

PubMed Abstract | CrossRef Full Text | Google Scholar

282. Bassani TB, Bonato JM, MaChado MMF, Cóppola-Segovia V, Moura ELR, Zanata SM, et al. Decrease in adult neurogenesis and neuroinflammation are involved in spatial memory impairment in the streptozotocin-induced model of sporadic alzheimer's disease in rats. Mol Neurobiol (2018) 55:4280–96. doi: 10.1007/s12035-017-0645-9

PubMed Abstract | CrossRef Full Text | Google Scholar

283. Olah M, Patrick E, Villani AC, Xu J, White CC, Ryan KJ, et al. A transcriptomic atlas of aged human microglia. Nat Commun (2018) 9:539. doi: 10.1038/s41467-018-02926-5

PubMed Abstract | CrossRef Full Text | Google Scholar

284. Muzio L, Viotti A, Martino G. Microglia in neuroinflammation and neurodegeneration: from understanding to therapy. Front Neurosci (2021) 15:742065. doi: 10.3389/fnins.2021.742065

PubMed Abstract | CrossRef Full Text | Google Scholar

285. Chen Y, Hong T, Chen F, Sun Y, Wang Y, Cui L. Interplay between microglia and alzheimer's disease-focus on the most relevant risks: APOE genotype, sex and age. Front Aging Neurosci (2021) 13:631827. doi: 10.3389/fnagi.2021.631827

PubMed Abstract | CrossRef Full Text | Google Scholar

286. Felsky D, Patrick E, Schneider JA, Mostafavi S, Gaiteri C, Patsopoulos N, et al. Polygenic analysis of inflammatory disease variants and effects on microglia in the aging brain. Mol Neurodegener (2018) 13:38. doi: 10.1186/s13024-018-0272-6

PubMed Abstract | CrossRef Full Text | Google Scholar

287. Rangaraju S, Dammer EB, Raza SA, Rathakrishnan P, Xiao H, Gao T, et al. Identification and therapeutic modulation of a pro-inflammatory subset of disease-associated-microglia in Alzheimer's disease. Mol Neurodegener (2018) 13:24. doi: 10.1186/s13024-018-0254-8

PubMed Abstract | CrossRef Full Text | Google Scholar

288. Felsky D, Roostaei T, Nho K, Risacher SL, Bradshaw EM, Petyuk V, et al. Neuropathological correlates and genetic architecture of microglial activation in elderly human brain. Nat Commun (2019) 10:409. doi: 10.1038/s41467-018-08279-3

PubMed Abstract | CrossRef Full Text | Google Scholar

289. Suárez-Calvet M, Capell A, Araque Caballero M, Morenas-Rodríguez E, Fellerer K, Franzmeier N, et al. CSF progranulin increases in the course of Alzheimer's disease and is associated with sTREM2, neurodegeneration and cognitive decline. EMBO Mol Med (2018) 10. doi: 10.15252/emmm.201809712

PubMed Abstract | CrossRef Full Text | Google Scholar

290. Ewers M, Franzmeier N, Suárez-Calvet M, Morenas-Rodriguez E, Caballero M, Kleinberger G, et al. Increased soluble TREM2 in cerebrospinal fluid is associated with reduced cognitive and clinical decline in Alzheimer's disease. Sci Transl Med (2019) 11. doi: 10.1126/scitranslmed.aav6221

CrossRef Full Text | Google Scholar

291. Stumm C, Hiebel C, Hanstein R, Purrio M, Nagel H, Conrad A, et al. Cannabinoid receptor 1 deficiency in a mouse model of Alzheimer's disease leads to enhanced cognitive impairment despite of a reduction in amyloid deposition. Neurobiol Aging (2013) 34:2574–84. doi: 10.1016/j.neurobiolaging.2013.05.027

PubMed Abstract | CrossRef Full Text | Google Scholar

292. Ding X, Wang J, Huang M, Chen Z, Liu J, Zhang Q, et al. Loss of microglial SIRPα promotes synaptic pruning in preclinical models of neurodegeneration. Nat Commun (2021) 2030:12. doi: 10.1038/s41467-021-22301-1

CrossRef Full Text | Google Scholar

293. Ellwanger DC, Wang S, Brioschi S, Shao Z, Green L, Case R, et al. Prior activation state shapes the microglia response to antihuman TREM2 in a mouse model of Alzheimer's disease. Proc Natl Acad Sci U.S.A. (2021) 118. doi: 10.1073/pnas.2017742118

PubMed Abstract | CrossRef Full Text | Google Scholar

294. Cornell J, Salinas S, Huang HY, Zhou M. Microglia regulation of synaptic plasticity and learning and memory. Neural Regener Res (2022) 17:705–16. doi: 10.4103/1673-5374.322423

CrossRef Full Text | Google Scholar

295. Merlini M, Rafalski VA, Rios Coronado PE, Gill TM, Ellisman M, Muthukumar G, et al. Fibrinogen induces microglia-mediated spine elimination and cognitive impairment in an alzheimer's disease model. Neuron (2019) 101:1099–1108.e1096. doi: 10.1016/j.neuron.2019.01.014

PubMed Abstract | CrossRef Full Text | Google Scholar

296. Zhao Y, Zhang Y, Zhang J, Zhang X, Yang G. Molecular mechanism of autophagy: its role in the therapy of alzheimer's disease. Curr Neuropharmacol (2020) 18:720–39. doi: 10.2174/1570159X18666200114163636

PubMed Abstract | CrossRef Full Text | Google Scholar

297. Nixon RA. Autophagy, amyloidogenesis and Alzheimer disease. J Cell Sci (2007) 120:4081–91. doi: 10.1242/jcs.019265

PubMed Abstract | CrossRef Full Text | Google Scholar

298. Uddin MS, Stachowiak A, Mamun AA, Tzvetkov NT, Takeda S, Atanasov AG, et al. Autophagy and alzheimer’s disease: from molecular mechanisms to therapeutic implications. Front Aging Neurosci (2018) 10. doi: 10.3389/fnagi.2018.00004

PubMed Abstract | CrossRef Full Text | Google Scholar

299. Luo R, Su LY, Li G, Yang J, Liu Q, Yang LX, et al. Activation of PPARA-mediated autophagy reduces Alzheimer disease-like pathology and cognitive decline in a murine model. Autophagy (2020) 16:52–69. doi: 10.1080/15548627.2019.1596488

PubMed Abstract | CrossRef Full Text | Google Scholar

300. Wani A, Al Rihani SB, Sharma A, Weadick B, Govindarajan R, Khan SU, et al. Crocetin promotes clearance of amyloid-β by inducing autophagy via the STK11/LKB1-mediated AMPK pathway. Autophagy (2021) 17:3813–32. doi: 10.1080/15548627.2021.1872187

PubMed Abstract | CrossRef Full Text | Google Scholar

301. Chen ML, Hong CG, Yue T, Li HM, Duan R, Hu WB, et al. Inhibition of miR-331-3p and miR-9-5p ameliorates Alzheimer's disease by enhancing autophagy. Theranostics (2021) 11:2395–409. doi: 10.7150/thno.47408

PubMed Abstract | CrossRef Full Text | Google Scholar

302. Yan X, Hu Y, Wang B, Wang S, Zhang X. Metabolic dysregulation contributes to the progression of alzheimer's disease. Front Neurosci (2020) 14:530219. doi: 10.3389/fnins.2020.530219

PubMed Abstract | CrossRef Full Text | Google Scholar

303. Demarest TG, Varma VR, Estrada D, Babbar M, Basu S, Mahajan UV, et al. Biological sex and DNA repair deficiency drive Alzheimer's disease via systemic metabolic remodeling and brain mitochondrial dysfunction. Acta Neuropathol (2020) 140:25–47. doi: 10.1007/s00401-020-02152-8

PubMed Abstract | CrossRef Full Text | Google Scholar

304. Tang BL. Neuroprotection by glucose-6-phosphate dehydrogenase and the pentose phosphate pathway. J Cell Biochem (2019) 120:14285–95. doi: 10.1002/jcb.29004

PubMed Abstract | CrossRef Full Text | Google Scholar

305. Epis R, Marcello E, Gardoni F, Longhi A, Calvani M, Iannuccelli M, et al. Modulatory effect of acetyl-L-carnitine on amyloid precursor protein metabolism in hippocampal neurons. Eur J Pharmacol (2008) 597:51–6. doi: 10.1016/j.ejphar.2008.09.001

PubMed Abstract | CrossRef Full Text | Google Scholar

306. Bielarczyk H, Jankowska-Kulawy A, Höfling C, Ronowska A, Gul-Hinc S, Roßner S, et al. AβPP-transgenic 2576 mice mimic cell type-specific aspects of acetyl-coA-linked metabolic deficits in alzheimer's disease. J Alzheimers Dis (2015) 48:1083–94. doi: 10.3233/JAD-150327

PubMed Abstract | CrossRef Full Text | Google Scholar

307. Zhao Y, Xu H. Microglial lactate metabolism as a potential therapeutic target for Alzheimer’s disease. Mol Neurodegeneration (2022) 17:36. doi: 10.1186/s13024-022-00541-z

CrossRef Full Text | Google Scholar

308. Pan R-Y, He L, Zhang J, Liu X, Liao Y, Gao J, et al. Positive feedback regulation of microglial glucose metabolism by histone H4 lysine 12 lactylation in Alzheimer’s disease. Cell Metab (2022) 34:634–648.e636. doi: 10.1016/j.cmet.2022.02.013

PubMed Abstract | CrossRef Full Text | Google Scholar

309. Sarkar S. Microglial ion channels: Key players in non-cell autonomous neurodegeneration. Neurobiol Dis (2022) 174:105861. doi: 10.1016/j.nbd.2022.105861

PubMed Abstract | CrossRef Full Text | Google Scholar

310. Tan Y, Deng Y, Qing H. Calcium channel blockers and Alzheimer's disease. Neural Regener Res (2012) 7:137–40. doi: 10.3969/j.issn.1673-5374.2012.02.010

CrossRef Full Text | Google Scholar

311. Crossley CA, Rajani V, Yuan Q. Modulation of L-type calcium channels in Alzheimer’s disease: A potential therapeutic target. Comput Struct Biotechnol J (2023) 21:11–20. doi: 10.1016/j.csbj.2022.11.049

PubMed Abstract | CrossRef Full Text | Google Scholar

312. Hasreiter J, Goldnagl L, Böhm S, Kubista H. Cav1.2 and Cav1.3 L-type calcium channels operate in a similar voltage range but show different coupling to Ca(2+)-dependent conductances in hippocampal neurons. Am J Physiol Cell Physiol (2014) 306:C1200–1213. doi: 10.1152/ajpcell.00329.2013

PubMed Abstract | CrossRef Full Text | Google Scholar

313. Napolitano C, Bloise R, Priori SG. "95 - timothy syndrome. In: Zipes DP, Jalife J, editors. Cardiac electrophysiology: from cell to bedside, Sixth. Philadelphia: W.B. Saunders (2014). p. 953–7.

Google Scholar

314. Striessnig J, Pinggera A, Kaur G, Bock G, Tuluc P. L-type Ca(2+) channels in heart and brain. Wiley Interdiscip Rev Membr Transp Signal (2014) 3:15–38. doi: 10.1002/wmts.102

PubMed Abstract | CrossRef Full Text | Google Scholar

315. Flucher BE. Skeletal muscle Ca(V)1.1 channelopathies. Pflugers Arch (2020) 472:739–54. doi: 10.1007/s00424-020-02368-3

PubMed Abstract | CrossRef Full Text | Google Scholar

316. Koschak A, Fernandez-Quintero ML, Heigl T, Ruzza M, Seitter H, Zanetti L. Cav1.4 dysfunction and congenital stationary night blindness type 2. Pflugers Arch (2021) 473:1437–54. doi: 10.1007/s00424-021-02570-x

PubMed Abstract | CrossRef Full Text | Google Scholar

317. Williams B, Lopez JA, Maddox JW, Lee A. Functional impact of a congenital stationary night blindness type 2 mutation depends on subunit composition of Ca(v)1.4 Ca(2+) channels. J Biol Chem (2020) 295:17215–26. doi: 10.1074/jbc.RA120.014138

PubMed Abstract | CrossRef Full Text | Google Scholar

318. Hopp SC. Targeting microglia L-type voltage-dependent calcium channels for the treatment of central nervous system disorders. J Neurosci Res (2021) 99:141–62. doi: 10.1002/jnr.24585

PubMed Abstract | CrossRef Full Text | Google Scholar

319. Cheng J, Dong Y, Ma J, Pan R, Liao Y, Kong X, et al. Microglial Calhm2 regulates neuroinflammation and contributes to Alzheimer’s disease pathology. Sci Adv (2021) 7:eabe3600. doi: 10.1126/sciadv.abe3600

PubMed Abstract | CrossRef Full Text | Google Scholar

320. Tansey MG, Wallings RL, Houser MC, Herrick MK, Keating CE, Joers V. Inflammation and immune dysfunction in Parkinson disease. Nat Rev Immunol (2022) 22:657–73. doi: 10.1038/s41577-022-00684-6

PubMed Abstract | CrossRef Full Text | Google Scholar

321. Yuan Z, Yu D, Gou T, Tang G, Guo C, Shi J. Research progress of NLRP3 inflammasome and its inhibitors with aging diseases. Eur J Pharmacol (2023) 175931. doi: 10.1016/j.ejphar.2023.175931

CrossRef Full Text | Google Scholar

322. Nguyen LTN, Nguyen HD, Kim YJ, Nguyen TT, Lai TT, Lee YK, et al. Role of NLRP3 inflammasome in parkinson's disease and therapeutic considerations. J Parkinsons Dis (2022) 12:2117–33. doi: 10.3233/JPD-223290

PubMed Abstract | CrossRef Full Text | Google Scholar

323. Wu KJ, Wang WR, Cheng QH, Li H, Yan WZ, Zhou FR, et al. Pyroptosis in neurodegenerative diseases: from bench to bedside. Cell Biol Toxicol (2023). doi: 10.1007/s10565-023-09820-x

PubMed Abstract | CrossRef Full Text | Google Scholar

324. Panicker N, Sarkar S, Harischandra DS, Neal M, Kam TI, Jin H, et al. Fyn kinase regulates misfolded α-synuclein uptake and NLRP3 inflammasome activation in microglia. J Exp Med (2019) 216:1411–30. doi: 10.1084/jem.20182191

PubMed Abstract | CrossRef Full Text | Google Scholar

325. Qin Y, Zhao W. Posttranslational modifications of NLRP3 and their regulatory roles in inflammasome activation. Eur J Immunol (2023), e2350382. doi: 10.1002/eji.202350382

PubMed Abstract | CrossRef Full Text | Google Scholar

326. Lee E, Hwang I, Park S, Hong S, Hwang B, Cho Y, et al. MPTP-driven NLRP3 inflammasome activation in microglia plays a central role in dopaminergic neurodegeneration. Cell Death Differ (2019) 26:213–28. doi: 10.1038/s41418-018-0124-5

PubMed Abstract | CrossRef Full Text | Google Scholar

327. Pike AF, Varanita T, Herrebout M, Plug BC, Kole J, Musters RJP, et al. α-Synuclein evokes NLRP3 inflammasome-mediated IL-1β secretion from primary human microglia. Glia (2021) 69:1413–28. doi: 10.1002/glia.23970

PubMed Abstract | CrossRef Full Text | Google Scholar

328. Mou YJ, Ma YT, Yuan X, Wang M, Liu Y, Pei CS, et al. Cystathionine β-synthase (CBS) suppresses NLRP3 inflammasome activation via redox regulation in microglia. Antioxid Redox Signal (2023). doi: 10.1089/ars.2022.0174

PubMed Abstract | CrossRef Full Text | Google Scholar

329. Xia Y, Zhang G, Han C, Ma K, Guo X, Wan F, et al. Microglia as modulators of exosomal alpha-synuclein transmission. Cell Death Dis (2019) 10:174. doi: 10.1038/s41419-019-1404-9

PubMed Abstract | CrossRef Full Text | Google Scholar

330. Xia Y, Zhang G, Kou L, Yin S, Han C, Hu J, et al. Reactive microglia enhance the transmission of exosomal α-synuclein via toll-like receptor 2. Brain (2021) 144:2024–37. doi: 10.1093/brain/awab122

PubMed Abstract | CrossRef Full Text | Google Scholar

331. Deyell JS, Sriparna M, Ying M, Mao X. The interplay between α-synuclein and microglia in α-synucleinopathies. Int J Mol Sci (2023) 24. doi: 10.3390/ijms24032477

PubMed Abstract | CrossRef Full Text | Google Scholar

332. Mavroeidi P, Vetsi M, Dionysopoulou D, Xilouri M. Exosomes in alpha-synucleinopathies: propagators of pathology or potential candidates for nanotherapeutics? Biomolecules (2022) 12. doi: 10.3390/biom12070957

PubMed Abstract | CrossRef Full Text | Google Scholar

333. Stefanova N. Microglia in parkinson's disease. J Parkinsons Dis (2022) 12:S105–s112. doi: 10.3233/JPD-223237

PubMed Abstract | CrossRef Full Text | Google Scholar

334. Booms A, Coetzee GA. Functions of intracellular alpha-synuclein in microglia: implications for parkinson's disease risk. Front Cell Neurosci (2021) 15:759571. doi: 10.3389/fncel.2021.759571

PubMed Abstract | CrossRef Full Text | Google Scholar

335. Scheiblich H, Dansokho C, Mercan D, Schmidt SV, Bousset L, Wischhof L, et al. Microglia jointly degrade fibrillar alpha-synuclein cargo by distribution through tunneling nanotubes. Cell (2021) 184:5089–5106.e5021. doi: 10.1016/j.cell.2021.09.007

PubMed Abstract | CrossRef Full Text | Google Scholar

336. Lv QK, Tao KX, Wang XB, Yao XY, Pang MZ, Liu JY, et al. Role of α-synuclein in microglia: autophagy and phagocytosis balance neuroinflammation in Parkinson's disease. Inflammation Res (2023) 72:443–62. doi: 10.1007/s00011-022-01676-x

CrossRef Full Text | Google Scholar

337. Juul-Madsen K, Qvist P, Bendtsen KL, Langkilde AE, Vestergaard B, Howard KA, et al. Size-selective phagocytic clearance of fibrillar α-synuclein through conformational activation of complement receptor 4. J Immunol (2020) 204:1345–61. doi: 10.4049/jimmunol.1900494

PubMed Abstract | CrossRef Full Text | Google Scholar

338. Stefanova N, Fellner L, Reindl M, Masliah E, Poewe W, Wenning GK. Toll-like receptor 4 promotes α-synuclein clearance and survival of nigral dopaminergic neurons. Am J Pathol (2011) 179:954–63. doi: 10.1016/j.ajpath.2011.04.013

PubMed Abstract | CrossRef Full Text | Google Scholar

339. Venezia S, Kaufmann WA, Wenning GK, Stefanova N. Toll-like receptor 4 deficiency facilitates α-synuclein propagation and neurodegeneration in a mouse model of prodromal Parkinson's disease. Parkinsonism Related Disord (2021) 91:59–65. doi: 10.1016/j.parkreldis.2021.09.007

CrossRef Full Text | Google Scholar

340. Tu HY, Yuan BS, Hou XO, Zhang XJ, Pei CS, Ma YT, et al. α-synuclein suppresses microglial autophagy and promotes neurodegeneration in a mouse model of Parkinson's disease. Aging Cell (2021) 20:e13522. doi: 10.1111/acel.13522

PubMed Abstract | CrossRef Full Text | Google Scholar

341. Bo X, Xie F, Zhang J, Gu R, Li X, Li S, et al. Deletion of Calhm2 alleviates MPTP-induced Parkinson's disease pathology by inhibiting EFHD2-STAT3 signaling in microglia. Theranostics (2023) 13:1809–22. doi: 10.7150/thno.83082

PubMed Abstract | CrossRef Full Text | Google Scholar

342. Wang X, Saegusa H, Huntula S, Tanabe T. Blockade of microglial Cav1.2 Ca(2+) channel exacerbates the symptoms in a Parkinson's disease model. Sci Rep (2019) 9:9138. doi: 10.1038/s41598-019-45681-3

PubMed Abstract | CrossRef Full Text | Google Scholar

343. Qin Y, Qiu J, Wang P, Liu J, Zhao Y, Jiang F, et al. Impaired autophagy in microglia aggravates dopaminergic neurodegeneration by regulating NLRP3 inflammasome activation in experimental models of Parkinson’s disease. Brain Behavior Immun (2021) 91:324–38. doi: 10.1016/j.bbi.2020.10.010

CrossRef Full Text | Google Scholar

344. Cheng YY, Chen BY, Bian GL, Ding YX, Chen LW. Programmed death-1 deficiency aggravates motor dysfunction in MPTP model of parkinson's disease by inducing microglial activation and neuroinflammation in mice. Mol Neurobiol (2022) 59:2642–55. doi: 10.1007/s12035-022-02758-x

PubMed Abstract | CrossRef Full Text | Google Scholar

345. Rocha SM, Kirkley KS, Chatterjee D, Aboellail TA, Smeyne RJ, Tjalkens RB. Microglia-specific knock-out of NF-κB/IKK2 increases the accumulation of misfolded α-synuclein through the inhibition of p62/sequestosome-1-dependent autophagy in the rotenone model of Parkinson's disease. Glia (2023) 71:2154–79. doi: 10.1002/glia.24385

PubMed Abstract | CrossRef Full Text | Google Scholar

346. Wang Q, Lu M, Zhu X, Gu X, Zhang T, Xia C, et al. The role of microglia immunometabolism in neurodegeneration: Focus on molecular determinants and metabolic intermediates of metabolic reprogramming. Biomedicine Pharmacotherapy (2022) 153:113412. doi: 10.1016/j.biopha.2022.113412

PubMed Abstract | CrossRef Full Text | Google Scholar

347. Chausse B, Kakimoto PA, Caldeira-Da-Silva CC, Chaves-Filho AB, Yoshinaga MY, Da Silva RP, et al. Distinct metabolic patterns during microglial remodeling by oleate and palmitate. Biosci Rep (2019) 39. doi: 10.1042/BSR20190072

PubMed Abstract | CrossRef Full Text | Google Scholar

348. Huang ZP, Liu SF, Zhuang JL, Li LY, Li MM, Huang YL, et al. Role of microglial metabolic reprogramming in Parkinson's disease. Biochem Pharmacol (2023) 213:115619. doi: 10.1016/j.bcp.2023.115619

PubMed Abstract | CrossRef Full Text | Google Scholar

349. Lu J, Wang C, Cheng X, Wang R, Yan X, He P, et al. A breakdown in microglial metabolic reprogramming causes internalization dysfunction of α-synuclein in a mouse model of Parkinson’s disease. J Neuroinflamm (2022) 19:113. doi: 10.1186/s12974-022-02484-0

CrossRef Full Text | Google Scholar

350. Yu H, Chang Q, Sun T, He X, Wen L, An J, et al. Metabolic reprogramming and polarization of microglia in Parkinson's disease: Role of inflammasome and iron. Ageing Res Rev (2023) 90:102032. doi: 10.1016/j.arr.2023.102032

PubMed Abstract | CrossRef Full Text | Google Scholar

351. Ryan SK, Zelic M, Han Y, Teeple E, Chen L, Sadeghi M, et al. Microglia ferroptosis is regulated by SEC24B and contributes to neurodegeneration. Nat Neurosci (2023) 26:12–26. doi: 10.1038/s41593-022-01221-3

PubMed Abstract | CrossRef Full Text | Google Scholar

352. Gu C, Wang F, Zhang YT, Wei SZ, Liu JY, Sun HY, et al. Microglial MT1 activation inhibits LPS-induced neuroinflammation via regulation of metabolic reprogramming. Aging Cell (2021) 20:e13375. doi: 10.1111/acel.13375

PubMed Abstract | CrossRef Full Text | Google Scholar

353. Melchiorri D, Merlo S, Micallef B, Borg J-J, Dráfi F. Alzheimer’s disease and neuroinflammation: will new drugs in clinical trials pave the way to a multi-target therapy? Front Pharmacol (2023) 14. doi: 10.3389/fphar.2023.1196413

CrossRef Full Text | Google Scholar

354. Alam JJ, Maruff P, Doctrow SR, Chu HM, Conway J, Gomperts SN, et al. Association of plasma phosphorylated tau with the response to neflamapimod treatment in patients with dementia with lewy bodies. Neurology (2023) 101:e1708–17. doi: 10.1212/WNL.0000000000207755

PubMed Abstract | CrossRef Full Text | Google Scholar

355. Jiang Y, Alam JJ, Gomperts SN, Maruff P, Lemstra AW, Germann UA, et al. Preclinical and randomized clinical evaluation of the p38α kinase inhibitor neflamapimod for basal forebrain cholinergic degeneration. Nat Commun (2022) 13:5308. doi: 10.1038/s41467-022-32944-3

PubMed Abstract | CrossRef Full Text | Google Scholar

356. Prins ND, Harrison JE, Chu HM, Blackburn K, Alam JJ, Scheltens P. A phase 2 double-blind placebo-controlled 24-week treatment clinical study of the p38 alpha kinase inhibitor neflamapimod in mild Alzheimer's disease. Alzheimers Res Ther (2021) 13:106. doi: 10.1186/s13195-021-00843-2

PubMed Abstract | CrossRef Full Text | Google Scholar

357. Zhang M, Tang Z. Therapeutic potential of natural molecules against Alzheimer's disease via SIRT1 modulation. BioMed Pharmacother (2023) 161:114474. doi: 10.1016/j.biopha.2023.114474

PubMed Abstract | CrossRef Full Text | Google Scholar

358. Moussa C, Hebron M, Huang X, Ahn J, Rissman RA, Aisen PS, et al. Resveratrol regulates neuro-inflammation and induces adaptive immunity in Alzheimer's disease. J Neuroinflamm (2017) 14:1. doi: 10.1186/s12974-016-0779-0

CrossRef Full Text | Google Scholar

359. Reading CL, Ahlem CN, Murphy MF. NM101 Phase III study of NE3107 in Alzheimer's disease: rationale, design and therapeutic modulation of neuroinflammation and insulin resistance. Neurodegener Dis Manag (2021) 11:289–98. doi: 10.2217/nmt-2021-0022

PubMed Abstract | CrossRef Full Text | Google Scholar

360. Kellar D, Register T, Lockhart SN, Aisen P, Raman R, Rissman RA, et al. Intranasal insulin modulates cerebrospinal fluid markers of neuroinflammation in mild cognitive impairment and Alzheimer's disease: a randomized trial. Sci Rep (2022) 12:1346. doi: 10.1038/s41598-022-05165-3

PubMed Abstract | CrossRef Full Text | Google Scholar

361. Hannestad J, Duclos T, Chao W, Koborsi K, Klutzaritz V, Beck B, et al. Safety and tolerability of GRF6019 infusions in severe alzheimer's disease: A phase II double-blind placebo-controlled trial. J Alzheimers Dis (2021) 81:1649–62. doi: 10.3233/JAD-210011

PubMed Abstract | CrossRef Full Text | Google Scholar

362. Family N, Maillet EL, Williams LTJ, Krediet E, Carhart-Harris RL, Williams TM, et al. Safety, tolerability, pharmacokinetics, and pharmacodynamics of low dose lysergic acid diethylamide (LSD) in healthy older volunteers. Psychopharmacol (Berl) (2020) 237:841–53. doi: 10.1007/s00213-019-05417-7

CrossRef Full Text | Google Scholar

363. Masuoka N, Lei C, Li H, Inamura N, Shiotani S, Yanai N, et al. Anserine, HClO-scavenger, protected against cognitive decline in individuals with mild cognitive impairment. Aging (Albany NY) (2021) 13:1729–41. doi: 10.18632/aging.202535

PubMed Abstract | CrossRef Full Text | Google Scholar

364. Sivilia S, Lorenzini L, Giuliani A, Gusciglio M, Fernandez M, Baldassarro VA, et al. Multi-target action of the novel anti-Alzheimer compound CHF5074: in vivo study of long term treatment in Tg2576 mice. BMC Neurosci (2013) 14:44. doi: 10.1186/1471-2202-14-44

PubMed Abstract | CrossRef Full Text | Google Scholar

365. Ross J, Sharma S, Winston J, Nunez M, Bottini G, Franceschi M, et al. CHF5074 reduces biomarkers of neuroinflammation in patients with mild cognitive impairment: a 12-week, double-blind, placebo-controlled study. Curr Alzheimer Res (2013) 10:742–53. doi: 10.2174/13892037113149990144

PubMed Abstract | CrossRef Full Text | Google Scholar

366. Barbalho SM, Direito R, Laurindo LF, Marton LT, Guiguer EL, Goulart RA, et al. Ginkgo biloba in the aging process: A narrative review. Antioxidants (Basel) (2022) 11. doi: 10.3390/antiox11030525

PubMed Abstract | CrossRef Full Text | Google Scholar

367. Morató X, Marquié M, Tartari JP, Lafuente A, Abdelnour C, Alegret M, et al. A randomized, open-label clinical trial in mild cognitive impairment with EGb 761 examining blood markers of inflammation and oxidative stress. Sci Rep (2023) 13:5406. doi: 10.1038/s41598-023-32515-6

PubMed Abstract | CrossRef Full Text | Google Scholar

368. Pasinetti GM, Wang J, Ho L, Zhao W, Dubner L. Roles of resveratrol and other grape-derived polyphenols in Alzheimer's disease prevention and treatment. Biochim Biophys Acta (2015) 1852:1202–8. doi: 10.1016/j.bbadis.2014.10.006

PubMed Abstract | CrossRef Full Text | Google Scholar

369. Bai YW, Yang QH, Chen PJ, Wang XQ. Repetitive transcranial magnetic stimulation regulates neuroinflammation in neuropathic pain. Front Immunol (2023) 14:1172293. doi: 10.3389/fimmu.2023.1172293

PubMed Abstract | CrossRef Full Text | Google Scholar

370. Aftanas LI, Gevorgyan MM, Zhanaeva SY, Dzemidovich SS, Kulikova KI, Al'perina EL, et al. Therapeutic effects of repetitive transcranial magnetic stimulation (rTMS) on neuroinflammation and neuroplasticity in patients with parkinson's disease: a placebo-controlled study. Bull Exp Biol Med (2018) 165:195–9. doi: 10.1007/s10517-018-4128-4

PubMed Abstract | CrossRef Full Text | Google Scholar

371. Sawada H, Oeda T, Kohsaka M, Tomita S, Umemura A, Park K, et al. Early-start vs delayed-start donepezil against cognitive decline in Parkinson disease: a randomized clinical trial. Expert Opin Pharmacother (2021) 22:363–71. doi: 10.1080/14656566.2020.1814255

PubMed Abstract | CrossRef Full Text | Google Scholar

372. Gray E, Thomas TL, Betmouni S, Scolding N, Love S. Elevated activity and microglial expression of myeloperoxidase in demyelinated cerebral cortex in multiple sclerosis. Brain Pathol (2008) 18:86–95. doi: 10.1111/j.1750-3639.2007.00110.x

PubMed Abstract | CrossRef Full Text | Google Scholar

373. Jucaite A, Svenningsson P, Rinne JO, Cselényi Z, Varnäs K, Johnström P, et al. Effect of the myeloperoxidase inhibitor AZD3241 on microglia: a PET study in Parkinson's disease. Brain (2015) 138:2687–700. doi: 10.1093/brain/awv184

PubMed Abstract | CrossRef Full Text | Google Scholar

374. Reale M, Costantini E. Cholinergic modulation of the immune system in neuroinflammatory diseases. Diseases (2021) 9. doi: 10.3390/diseases9020029

PubMed Abstract | CrossRef Full Text | Google Scholar

375. Fontana L, Ghezzi L, Cross AH, Piccio L. Effects of dietary restriction on neuroinflammation in neurodegenerative diseases. J Exp Med (2021) 218. doi: 10.1084/jem.20190086

PubMed Abstract | CrossRef Full Text | Google Scholar

376. Rahmani F, Ghezzi L, Tosti V, Liu J, Song SK, Wu AT, et al. Twelve weeks of intermittent caloric restriction diet mitigates neuroinflammation in midlife individuals with multiple sclerosis: A pilot study with implications for prevention of alzheimer's disease. J Alzheimers Dis (2023) 93:263–73. doi: 10.3233/JAD-221007

PubMed Abstract | CrossRef Full Text | Google Scholar

377. Van Noort JM, Bsibsi M, Nacken PJ, Verbeek R, Venneker EH. Therapeutic intervention in multiple sclerosis with alpha B-crystallin: A randomized controlled phase IIa trial. PloS One (2015) 10:e0143366. doi: 10.1371/journal.pone.0143366

PubMed Abstract | CrossRef Full Text | Google Scholar

378. Khoury SJ, Rochon J, Ding L, Byron M, Ryker K, Tosta P, et al. ACCLAIM: A randomized trial of abatacept (CTLA4-Ig) for relapsing-remitting multiple sclerosis. Mult Scler (2017) 23:686–95. doi: 10.1177/1352458516662727

PubMed Abstract | CrossRef Full Text | Google Scholar

379. Cuerda-Ballester M, Proaño B, Alarcón-Jimenez J, De Bernardo N, Villaron-Casales C, Lajara Romance JM, et al. Improvements in gait and balance in patients with multiple sclerosis after treatment with coconut oil and epigallocatechin gallate. A pilot study. Food Funct (2023) 14:1062–71. doi: 10.1039/D2FO02207A

PubMed Abstract | CrossRef Full Text | Google Scholar

380. Al-Khamis FA. The use of immune modulating drugs for the treatment of multiple sclerosis. Neurosci (Riyadh) (2016) 21:4–9. doi: 10.17712/nsj.2016.1.20150252

CrossRef Full Text | Google Scholar

381. Magraner M, Coret F, Casanova B. The relationship between inflammatory activity and brain atrophy in natalizumab treated patients. Eur J Radiol (2012) 81:3485–90. doi: 10.1016/j.ejrad.2012.01.028

PubMed Abstract | CrossRef Full Text | Google Scholar

382. Rahman M, Muhammad S, Khan MA, Chen H, Ridder DA, Müller-Fielitz H, et al. The β-hydroxybutyrate receptor HCA2 activates a neuroprotective subset of macrophages. Nat Commun (2014) 5:3944. doi: 10.1038/ncomms4944

PubMed Abstract | CrossRef Full Text | Google Scholar

383. Graff EC, Fang H, Wanders D, Judd RL. Anti-inflammatory effects of the hydroxycarboxylic acid receptor 2. Metabolism (2016) 65:102–13. doi: 10.1016/j.metabol.2015.10.001

PubMed Abstract | CrossRef Full Text | Google Scholar

384. De Vlaminck K, Van Hove H, Kancheva D, Scheyltjens I, Pombo Antunes AR, Bastos J, et al. Differential plasticity and fate of brain-resident and recruited macrophages during the onset and resolution of neuroinflammation. Immunity (2022) 55:2085–2102.e2089. doi: 10.1016/j.immuni.2022.09.005

PubMed Abstract | CrossRef Full Text | Google Scholar

385. Choi JK, Yu CR, Bing SJ, Jittayasothorn Y, Mattapallil MJ, Kang M, et al. IL-27-producing B-1a cells suppress neuroinflammation and CNS autoimmune diseases. Proc Natl Acad Sci U.S.A. (2021) 118. doi: 10.1073/pnas.2109548118

PubMed Abstract | CrossRef Full Text | Google Scholar

386. Kang M, Choi JK, Jittayasothorn Y, Egwuagu CE. Interleukin 35-producing exosomes suppress neuroinflammation and autoimmune uveitis. Front Immunol (2020) 11:1051. doi: 10.3389/fimmu.2020.01051

PubMed Abstract | CrossRef Full Text | Google Scholar

387. Yu CR, Choi JK, Uche AN, Egwuagu CE. Production of IL-35 by Bregs is mediated through binding of BATF-IRF-4-IRF-8 complex to il12a and ebi3 promoter elements. J Leukoc Biol (2018) 104:1147–57. doi: 10.1002/JLB.3A0218-071RRR

PubMed Abstract | CrossRef Full Text | Google Scholar

388. Chung CY, Liao F. CXCR3 signaling in glial cells ameliorates experimental autoimmune encephalomyelitis by restraining the generation of a pro-Th17 cytokine milieu and reducing CNS-infiltrating Th17 cells. J Neuroinflamm (2016) 13:76. doi: 10.1186/s12974-016-0536-4

CrossRef Full Text | Google Scholar

389. Mueller AM, Yoon BH, Sadiq SA. Inhibition of hyaluronan synthesis protects against central nervous system (CNS) autoimmunity and increases CXCL12 expression in the inflamed CNS. J Biol Chem (2014) 289:22888–99. doi: 10.1074/jbc.M114.559583

PubMed Abstract | CrossRef Full Text | Google Scholar

390. Song H, Zhang X, Chen R, Miao J, Wang L, Cui L, et al. Cortical neuron-derived exosomal microRNA-181c-3p inhibits neuroinflammation by downregulating CXCL1 in astrocytes of a rat model with ischemic brain injury. Neuroimmunomodulation (2019) 26:217–33. doi: 10.1159/000502694

PubMed Abstract | CrossRef Full Text | Google Scholar

391. Spiljar M, Steinbach K, Rigo D, Suárez-Zamorano N, Wagner I, Hadadi N, et al. Cold exposure protects from neuroinflammation through immunologic reprogramming. Cell Metab (2021) 33:2231–2246.e2238. doi: 10.1016/j.cmet.2021.10.002

PubMed Abstract | CrossRef Full Text | Google Scholar

392. Ryu JK, Rafalski VA, Meyer-Franke A, Adams RA, Poda SB, Rios Coronado PE, et al. Fibrin-targeting immunotherapy protects against neuroinflammation and neurodegeneration. Nat Immunol (2018) 19:1212–23. doi: 10.1038/s41590-018-0232-x

PubMed Abstract | CrossRef Full Text | Google Scholar

393. Adams RA, Bauer J, Flick MJ, Sikorski SL, Nuriel T, Lassmann H, et al. The fibrin-derived gamma377-395 peptide inhibits microglia activation and suppresses relapsing paralysis in central nervous system autoimmune disease. J Exp Med (2007) 204:571–82. doi: 10.1084/jem.20061931

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: neuroimmunology, neuroinflammation, neuroinflammatory disorders, neurodegenerative diseases, microglia, microglial activation, immune system, Alzheimer’s disease

Citation: Fornari Laurindo L, Aparecido Dias J, Cressoni Araújo A, Torres Pomini K, Machado Galhardi C, Rucco Penteado Detregiachi C, Santos de Argollo Haber L, Donizeti Roque D, Dib Bechara M, Vialogo Marques de Castro M, de Souza Bastos Mazuqueli Pereira E, José Tofano R, Jasmin Santos German Borgo I and Maria Barbalho S (2024) Immunological dimensions of neuroinflammation and microglial activation: exploring innovative immunomodulatory approaches to mitigate neuroinflammatory progression. Front. Immunol. 14:1305933. doi: 10.3389/fimmu.2023.1305933

Received: 02 October 2023; Accepted: 15 December 2023;
Published: 08 January 2024.

Edited by:

Kun Xiong, Central South University, China

Reviewed by:

Ngan Pan Bennett Au, University of Portsmouth, United Kingdom
Robert Adam Harris, Karolinska Institutet (KI), Sweden
Jinbo Cheng, Minzu University of China, China

Copyright © 2024 Fornari Laurindo, Aparecido Dias, Cressoni Araújo, Torres Pomini, Machado Galhardi, Rucco Penteado Detregiachi, Santos de Argollo Haber, Donizeti Roque, Dib Bechara, Vialogo Marques de Castro, de Souza Bastos Mazuqueli Pereira, José Tofano, Jasmin Santos German Borgo and Maria Barbalho. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Lucas Fornari Laurindo, lucasffffor@gmail.com

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