Skip to main content

REVIEW article

Front. Aging Neurosci., 28 May 2021
Sec. Neuroinflammation and Neuropathy
This article is part of the Research Topic Potential Neurotoxic Effects of Perioperative Factors View all 25 articles

The Role of Microglia in Perioperative Neuroinflammation and Neurocognitive Disorders

  • 1Department of Anesthesia, University Hospital Center (CHU de Charleroi), Charleroi, Belgium
  • 2Department of Anesthesia and Perioperative Care, Center for Cerebrovascular Research, University of California, San Francisco, San Francisco, CA, United States
  • 3Laboratory of Molecular Biology of the Gene, Department of Molecular Biology, ULB Immunology Research Center (UIRC), Free University of Brussels (ULB), Gosselies, Belgium
  • 4Inserm, CHU Lille, Univ Lille, Department of Biochemistry and Molecular Biology, Laboratory of Hormonology, Metabolism-Nutrition and Oncology (HMNO), Center of Biology and Pathology (CBP) Pierre-Marie Degand, CHRU Lille, University of North France, Lille, France

The aseptic trauma of peripheral surgery activates a systemic inflammatory response that results in neuro-inflammation; the microglia, the resident immunocompetent cells in the brain, are a key element of the neuroinflammatory response. In most settings microglia perform a surveillance role in the brain detecting and responding to “invaders” to maintain homeostasis. However, microglia have also been implicated in producing harm possibly by changing its phenotype from its beneficial, anti-inflammatory state (termed M2) into an injurious pro-inflammatory state (termed M1); it is likely that there are intermediates states between these polar phenotypes and some consider that a gradient exists with a number of intermediates, rather than a strict dichotomy between M1 and M2. In the pro-inflammatory phenotypes, microglia can disrupt synaptic plasticity such as long- term potentiation that can result in disorders of learning and memory of the type observed in Peri-operative Neurocognitive Disorders. Therefore, investigators have sought strategies to prevent microglia from provoking this adverse event in the perioperative period. In preclinical studies microglia can be depleted by removing trophic factors required for its maintenance; subsequent repopulation with a more beneficial microglial phenotype may result in memory enhancement, improved sensory motor function, as well as suppression of neuroinflammatory and oxidative stress pathways. Another approach consists of preventing microglial activation using the non-specific P38 MAP kinase blockers such as minocycline. Perhaps a more physiologic approach is the use of inhibitors of potassium (K+) channels that are required to convert the microglia into an active state. In this context the specific K+ channels that are implicated are termed Kv1.3 and KCa3.1 and high selective inhibitors for each have been developed. Data are accumulating demonstrating the utility of these K+ channel blockers in preventing Perioperative Neurocognitive Disorders.

Introduction

The aseptic trauma of surgery initiates an inflammatory cascade leading to neuroinflammation that culminates in microglial activation. While the other major cell populations in the CNS (including neurons, astrocytes and oligodendrocytes) share a neuroepithelial origin, microglia are derived from myeloid progenitors in the primitive yolk sac and populate the brain before the formation of the blood-brain barrier during mid-embryogenesis (Ginhoux et al., 2010). Microglia are the resident macrophages of the central nervous system (CNS) parenchyma and share the same yolk sac origin as other long-lived tissue macrophages (Ginhoux et al., 2010; Perdiguero et al., 2015).

Microglia play a key role in surveilling the local environment (Ferrini and De Koninck, 2013), recognizing and scavenging dead cells and pathogens (Hua and Smith, 2004; Wake et al., 2009), as well as synthesizing/releasing cytokines and chemokines (Bilbo and Schwarz, 2009). To understand further the role of microglia it is worthwhile to explore the origins and functions of this key cell-type.

Neurodevelopmental Role of Microglia

The non-random formation of brain circuitry is instructed by local neuronal activity. During development, microglia prune synapses and modulate over-active neurons, thereby shaping the brain’s circuitry. The dendritic spines, that are crucial for neural development and circuit plasticity (Zuo et al., 2005; Nishiyama and Yasuda, 2015), can be targeted by microglia during the process of “synaptic stripping” in which these cells phagocytose the synaptic boutons (Kettenmann et al., 2013). In the postnatal period, learning-dependent dendritic spine formation is regulated by microglia (Paolicelli et al., 2011; Parkhurst et al., 2013).

The microglia’s ability to modify synaptic plasticity involves both “find-me” and “eat-me” pathways. For example, microglia in the resting phase within zebrafish larvae respond to the local increase of neuronal activity, possibly through ATP “find-me” signals. These signals induce microglia to form bulbous endings and wrap themselves around highly active neurons. With the help of neuronal pannexin-1 hemichannels as an eat-me pathway, neuronal activity is reduced (Li et al., 2012).

The spatiotemporal organization of microglia in the white matter of the developing brain contribute to its roles in processes such as axonal guidance, synaptogenesis, and neurodevelopmental apoptosis (Verney et al., 2010).

Maturation of cortical synapses is highly dependent on the chemokine-induced interaction between the neuronally released fractalkine, CX3CL1 and its cognate microglial receptor, CX3CR1 (Hoshiko et al., 2012). Similarly, outgrowth of dopaminergic axons in the forebrain and the laminar positioning of subsets of neocortical interneurons are affected by microglia (Squarzoni et al., 2014).

Physiological Roles of Microglia

Microglia continue its regulatory role in synaptic plasticity even after the perinatal period, for example in memory storage. During wakefulness, memories are established by synaptic strengthening that is mediated by synaptogenesis; however, there needs to be a mechanism for removing “fleeting memories” and consolidating those that are required. During the “light phase” (other than REM and nREM 3 stages) of sleep, microglia are activated and phagocytose no-longer- required synapses (Ferrer et al., 1990; Neumann et al., 2009; Choudhury et al., 2020).

In addition to sleep there appear to be other initiating mechanisms for microglia-mediated memory loss (Wang C. et al., 2020). In a contextual fear-conditioning paradigm there was a significant decrease in freezing time for the contextual memory between 5 and 35 days after training and was due to a decrease in synaptic connection between hippocampal engram cells (population of neurons that become activated during learning and require reactivation for memory recall). An increase in phagocytosed synaptic proteins (synaptophysin or PSD95) by microglia at day 35 compared to day 5 was noted. The rate of neuronal activity within the hippocampus correlated positively with freezing behavior and increased with dampening of microglial phagocytosis (minocycline) or depletion of microglia (PLX3397). When an engineered virus that expresses CD55, an inhibitor of complement activation, was injected into the brains of these mice there was an increase in freezing behavior (i.e., improvement in memory) at day 35 after contextual fear conditioning in association with higher levels of activation (using c-fos) of engram cells and decreased levels of synaptic proteins within microglia (Wang C. et al., 2020). These data suggest that it is the complement activation that initiates the synaptic pruning by microglia that eliminates weak memories resulting in “physiologic forgetting.” In some conditions pathological remembering is a dominant feature and may in the future be amenable to physiologic forgetting treatments that regulate microglial- and complement-mediated synapse elimination.

These different studies suggest that the adult CNS has a highly plastic and dynamic microglial population that can be entirely repopulated following microglial elimination, even in the aged brain (Schafer et al., 2012; Wang C. et al., 2020).

Pathological Roles of Microglia

While microglia play an important role in synaptic pruning and phagocytosis in the healthy brain, its activation can also lead to harm (Czeh et al., 2011).

Studies have revealed the correlation of microglial activation to the severity of several neurodegenerative disorders such as Alzheimer’s disease (AD) (Arends et al., 2000; Edison et al., 2008), Parkinson’s disease (Banati et al., 1998; Imamura et al., 2003), and amyotrophic lateral sclerosis (Boillee et al., 2006). In these neurodegenerative settings, microglia, which express Toll-like receptors (TLR) 1–9 (Jack et al., 2005), become activated through stimulation of one or more of these receptors which results in the synthesis and release of pro-inflammatory cytokines that can induce neurotoxicity (Miller, 2004; Harry and Kraft, 2008). In particular microglia strongly express the cell surface TLR2 whereas TLR3 is expressed at higher levels intracellularly. TLR3 signaling leads to the secretion of high levels of IL-12, TNF-alpha, IL-6, CXCL-10, and IL-10, and the expression of IFN-beta, whereas TLR2 signaling leads to IL-6 and IL-10 secretion (Jack et al., 2005). In an AD murine model, TLR2/TLR4 are more highly expressed in microglia (Frank et al., 2009). Inactivation of the TLR2 signaling attenuated microglial activity and improved outcome in an AD model (McDonald et al., 2016).

TLR2/TLR4 signaling pathways in microglia increase infarct size in ischemic settings (Lehnardt et al., 2007).

In obese mice, microglial activation, through the CX3CR1 pathway can result in cognitive impairment (Cope et al., 2018). Mice fed with a high fat diet activated hippocampal microglia and impaired hippocampus-dependent memory through a reduction in long-term potentiation (LTP); microglial activation and attenuation of LTP were accompanied by perturbation of spatial relationships between microglial processes and synaptic puncta, though the internalization of synaptosomes (Barrientos et al., 2010).

Role of Microglia in Perioperative Neurocognitive Disorders (PND)

Using a rodent model of aseptic trauma, we have investigated the potential role of microglia for cognitive decline assessed as a decrease in freezing behavior to a previously trained aversive stimulus. The putative pathogenic mechanisms responsible for the cognitive decline associated with the acute form of PND are illustrated in Figure 1 (Wan et al., 2007; Cibelli et al., 2010; Terrando et al., 2010, 2011; Degos et al., 2013; Vacas et al., 2014; Feng et al., 2017a,b; Hu et al., 2018a,b; Ieng et al., 2020). It remains an open question whether and how microglia affect later-onset variants of PND as there are, as yet, no preclinical models that consistently produce a phenotype akin to the clinical disorders of Delayed Neurocognitive Recovery and Postoperative Neurocognitive Disorder (see Discussion).

FIGURE 1
www.frontiersin.org

Figure 1. High mobility group protein B1 (HMGB1) is a damage-associated molecular pattern that is immediately released following peripheral trauma. HMGB1 engages the innate immune response by binding to pattern recognition receptors (PRR) on circulating bone marrow-derived monocytes (BM-DMs). Signaling through the PRR results in the disaggregation and intracellular translocation of the transcription factor, nuclear factor k B (NF-kB) which increases the synthesis and release into the circulation of pro-inflammatory cytokines. High cytokine levels disrupt the Blood Brain Barrier (BBB) facilitating the translocation of circulating BM-DMs into brain attracted by the chemokine monocyte chemoattractant protein-1 (MCP-1), which itself is HMGB1-dependent. In the presence of BM-DMs within the hippocampus, quiescent microglia become activated as evidenced by the change in morphology and the release of proinflammatory cytokines. Lon-term potentiation (LTP), a synaptic plasticity mechanism required for creating and storing memory is disrupted by the proinflammatory cytokines in the hippocampus.

Microglial Polarization Into M1 vs. M2

Analogous to macrophages, microglial activation has been dichotomized into a “neurotoxic” M1 and a “neuroprotective” M2 phenotype (Tang and Le, 2016); however, this binary outcome has been challenged arguing for a more nuanced spectrum from M1 to M2 with intermediate states that depend on environmental factors (Hanisch and Kettenmann, 2007; Ransohoff, 2016).

Nevertheless, the following are examples in which the phenotypic expression was changed from the M1 to M2 to thwart pathological processes.

1. Hypoxia has been shown to favor the M1 state (Zhang et al., 2017). In BV-2 cells, a microglia-like cell-line, oxidative stress induced the expression of iNOS, led to an increased level of CD68 (an M1 marker) and triggered the Tyr-701-phosphorylation and S-glutathionylation of STAT1. Silencing of STAT1 protein expression counteracted hypoxia-M1 microglia phenotype (Butturini et al., 2019).

2. A similar transformation obtains in a preclinical rat model of cerebral ischemia from middle cerebral artery occlusion, in which the M1 phenotype is induced through a CysLT2R-ERK1/2 pathway that results in microglial elaboration of neurotoxic factors such as NO, IL-1β, TNF-α, and IL-12 (Zhao et al., 2020). Treatment with mesenchymal stem cell-derived exosomes suppresses the neurotoxic factors and enhances the synthesis and release of M2 phenotypic markers, such as IL-10, TGF-β, and BDNF, that results in an improved outcome (Zhao et al., 2020). Similarly, in a preclinical mouse model of ischemia-reperfusion injury, following 30-min of middle cerebral artery occlusion, the M1-microglial phenotype was transformed into M2 by curcumin-encapsulated nanoparticles resulting in an improvement in both infarct size and functional deficit (Zhao et al., 2020).

3. In a rat model of intracerebral hemorrhage, there was a rapid transformation of microglia to the M1 phenotype with increased expression of its biomarkers; following administration of JWH133, a cannabinoid 2 receptor agonist, the microglia begin to transcribe markers of the M2 phenotype through activation of the PKA/CREB signaling pathway and result in improvement (Lin et al., 2017).

4. In a mouse model of AD accumulation of the neurotoxic amyloid β (Aβ) oligomers promote M1 glial transformation including elaboration of IL-1b; when signaling through the IL-1 receptor is precluded, transcription levels of M2-polarized macrophage related-inflammatory factors, such as IL-10 and Ym1 increase and are accompanied by improvements in learning and memory (Wang H. et al., 2020).

5. In the autoimmune inflammatory model of encephalomyelitis, inhibition of the purinergic receptor P2 × 4R signaling favored microglia M1 transformation and exacerbated demyelination; conversely, stimulation of P2 × 4R with ivermectin favored microglial polarization to the M2 phenotype, promoted remyelination and improved functional deficits (Zabala et al., 2018).

6. Ketamine has been advocated for treatment-resistant depression (Schoevers et al., 2016). In a mouse model of depression induced by lipopolysaccharide, ketamine suppressed the LPS-induced upregulation of pro-inflammatory M1 markers and changed the configuration of microglia; these changes were associated with an improvement in the behavioral tests of depression (Verdonk et al., 2019).

Attenuating Microglial Function

As activation of microglia is a pivotal step in the development of postoperative cognitive decline, different strategies have been attempted to attenuate microglial function.

Baseline Effects of Microglial Depletion

Colony stimulating factor 1 (CSF-1) regulates proliferation, differentiation and survival of tissue macrophages and, without CSF-1 signaling, microglia will not survive (Patel and Player, 2009). In vivo administration of inhibitors of the CSF-1 receptor (CSF-1R), such as PLX 3397, efficiently deplete microglia. LPS-induced microglial proliferation, as evidenced by increased expression of its stereotypic marker, ionized calcium binding adaptor molecule 1 (Iba1), was prevented by prior feeding of the mice with PLX 3397. In the basal state the CSF-1R inhibitor decreased Iba1 staining by 70% (Elmore et al., 2014); confirmation that microglia undergo apoptotic cell death was established by the upregulation of activated caspase 3. The PLX 3397 effect on microglia can be reversed within 3 days although the morphological appearance as well as the number of cells only returns to normal by 14 days through the presence of microglia progenitor cells. Interestingly, depletion of microglia in adult mice by PLX 3397 neither affects the baseline cognitive and motor function nor permeability of the blood brain barrier (Elmore et al., 2014). Therefore, CSF-1R is a druggable target to prevent neuroinflammation and its consequences as evidenced by the following examples.

Improvement of Injury-Induced Functional Deficit Following Microglial Depletion

A hippocampal lesion was produced by diphtheria toxin A-chain in adult mice and were subsequently administered PLX3397 for 30 days post-lesioning. Within 7 days of treatment, ∼70% of microglia had been eliminated and brain levels of IL-1β decreased. Behavioral testing showed improved learning on the elevated plus maze and the Morris water maze (MWM) following PLX3397 treatment; however, the probe trial (a test of recall in the MWM) was unaffected by depletion of microglia (Rice et al., 2015).

Using the CSF-1R inhibitor PLX5622, postoperative neuro-inflammation and cognitive decline (POCD) was prevented (Feng et al., 2017b). Mice were fed a standard chow diet containing PLX5622, for 7 days prior to aseptic surgical trauma. Surgery increased hippocampal levels of the proinflammatory cytokines IL-6 and MCP-1 following surgery; these did not occur in the mice pre-treated with PLX5622 indicating that microglial depletion decreases the chemo-attraction for monocyte translocation into the brain and lessens postoperative hippocampal neuroinflammation (Figure 2A).

FIGURE 2
www.frontiersin.org

Figure 2. Perioperative microglial depletion abrogates surgically induced hippocampal inflammation. Reproduced with Permission Feng et al. (2017b). (A) Tissue ELISA, showing the rise in hippocampal levels of both IL-6 and MCP-1 in response to surgery and the prevention of this postoperative rise by perioperative PLX5622 treatment as analyzed by two-way ANOVA (P = 0.006 at 24 h for IL-6, and P < 0.01 at both 6 and 24 h for MCP– 1). (B) Plasma ELISA, showing the comparative lack of effect of PLX5622 treatment on postoperative plasma IL-6 and MCP-1 levels. Data were analyzed by two-way ANOVA. In all cases, n = 7–8/group, and ***P < 0001; **P < 0.001 for surgery vs. corresponding sham-treated control (Feng et al., 2017b).

Interestingly, trauma-induced peripheral inflammation was less affected by depletion of microglia with PLX5622 (Figure 2B).

Typically, mice that experience surgical trauma exhibit less “freezing” behavior in a trace-fear conditioning paradigm that elicits memory for an aversive event. Mice treated perioperatively with PLX5622 retained memory for the preoperative aversive event and were no different from non-operative mice.

These data indicate that perioperative microglial depletion can completely prevent the development of this behavioral indicator of Perioperative Neurocognitive Disorders (Feng et al., 2017b).

CSF-1R inhibitors have also been tested in models of neurodegeneration including one that mimicks Alzheimer’s Disease (AD). Fifteen-month-old 3xTg-AD mice, which develop both Aβ plaques and tau tangles (pathological hallmarks of AD), were treated for either 6 weeks or 3 months with PLX5662 or vehicle. At the end of this period, cognitive testing (novel place, novel object recognition, and MWM) and histopathology were performed. In this AD model, mice treated with PLX5622 for 6 weeks or 3 months showed significantly improved place recognition with no difference in novel object recognition. 3xTg-AD mice treated with PLX5622 tended to have faster escape latencies than untreated mice that achieved statistical significance on trials performed on days 6 and 7 on the MWM. Regarding the histopathology, abundant core plaques were present in all mice irrespective of PLX5622 treatment; however, activated microglia were densely packed around plaques in control AD mice, a feature not found in mice treated with PLX5622. Quantification of the number of microglia associated with Aβ plaques revealed a 70% reduction following PLX5622 (Dagher et al., 2015).

As neuroinflammation plays an important role in the development of Parkinson’s Disease (PD), the effects of microglial depletion with PLX3397 have also been studied in a rat model of PD in which the striatum is stereotactically lesioned with 6-hydroxydopamine. PD rats treated with PLX3397 performed better in the adhesive tape removal test and in the forced swim immobility test. Using PET imaging, less neuroinflammation was seen in PD rats treated with PLX3397. Iba-1 staining in the PD group was significantly higher and this was reduced with PLX3397 (Oh et al., 2020).

In mice, microglial depletion suppressed the neuroinflammatory process which resulted in a beneficial effect on the motor and non-motor symptoms of PD (Oh et al., 2020).

In a mouse model of acute intracranial hemorrhage (ICH; either by intracerebral collagenase administration or intracerebral autologous blood administration), prior oral administration of PLX3397 for 21 days reduced the microglial population by ∼90% with no reduction in the monocyte populations in the spleen (Li et al., 2017). In mice with PLX3397-induced depletion of microglia, there was reduced neurological deficits, lesion volume, and perihematomal edema following ICH. Molecular pathways leading to cerebral injury following ICH, including ROS signaling and proinflammatory cytokines in the brain were significantly lower in the ICH mice that were pretreated with PLX3397 (Li et al., 2017).

Four weeks following traumatic brain injury (TBI), produced by controlled cortical injury with a pneumatic impactor, mice were fed the microglial depletor PLX5622 for 7 days. 3 months post-TBI, neuropathological changes were attenuated in the microglial-depleted mice; similarly, there was a decrease in the NOX2- and NLRP3 inflammasome-associated neuroinflammation. Using a variety of complementary neurobehavioral tests, PLX5622-treated TBI mice also had improved long-term motor and cognitive function recovery at 3 months post-injury (Henry et al., 2020).

Effect of Repletion With New Microglia on Behavior

Using an alternative approach to deplete microglia, transgenic rats had the diphtheria toxin receptor (Dtr) inserted into the promoter region of the fractalkine receptor, Cx3cr1, that is expressed on microglia and monocytes. Upon a single application of diphtheria toxin (DT) to these transgenic mice, there was a temporary ablation of both microglia (∼80% reduction) and monocytes (De Luca et al., 2020). Two days following the acute deletion of microglia, behavioral tests [Y maze and novel object recognition test (NOR); object preference], did not reveal any cognitive deficit suggesting that acute microglial ablation does not affect baseline learning and memory. Seven days following acute microglial depletion, at which time amoeboid-appearing microglia had begun to repopulate the hippocampus, performance in the NOR test and spatial memory with novel place recognition was better than in rats that had not received DT suggesting that microglial repopulation after ablation results in better recall. Morphologically, microglial repopulation was associated with an increase in the number of mature neurons in the hilus. There were no differences between the groups in the expression of pre– or post-synaptic markers (Vglut1, Glua2, Glun2a), markers of microglial-neuronal interaction (Cx3cl1, Cx3cr1), or neurotrophic factors (Bdnf, Ngf). There was an increase in the hippocampal expression of a microglial recruitment marker, Cxcl10, as well as elevated expression of C1q, the initiating protein of the canonical complement cascade, and C3; these are both known to localize to synapses and mediate the elimination of dendritic spines by phagocytic microglia. Correspondingly, the density of both synaptophysin and PSD-95 in the hilus was significantly reduced with microglial repopulation. While there was a significant increase in arborization of the basal dendrites in the CA3 neurons 7 days following DT, there were no differences in apical or basal dendritic tree length. Microglial repopulation also significantly increased the number of mature bifurcated spines, typically associated with increased spine efficacy, in the CA1 neurons. Astroglia appeared denser in the hilum when microglia repopulate (De Luca et al., 2020).

Deterioration of Injury-Induced Functional Deficit and Inflammation Following Microglial Depletion

Microglial depletion is not always associated with improved neurological performance. In a model of PD produced by the neurotoxin 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine (MPTP), depletion of microglia with PLX3397 exacerbated the impairment of locomotor activities (latency to fall) and the loss of dopaminergic neurons. Microglial depletion augmented the infiltration of CD4+ T cells (CD45highCD3+CD4+), CD8+ T cells (CD45highCD3+CD8+), monocytes and macrophages (CD45highCD11b+F4/80+), and neutrophils (CD45highCD11b+Ly6G+), suggesting that microglia may restrict MPTP-induced leukocyte infiltration. In addition, microglial depletion resulted in a significant increase of activation marker CD69 in CD4+ T and CD8+ T cells after MPTP treatment. PLX3397 treatment significantly upregulated the expression of proinflammatory cytokines including IL-1β, TNF-α, IL-2, IL-6, IFN-γ, and iNOS in the substantia nigra, suggesting that microglial depletion augments MPTP-induced local inflammation (Yang et al., 2018).

In a stroke model, depletion of microglia resulted in further harm. Following depletion of microglial by a 21-day course of PLX3397, an ischemic-reperfusion injury from transient middle cerebral artery occlusion (MCAO) resulted in enhancement of the neurological deficit and infarct size; these changes were associated with higher ROS, and pro-inflammatory cytokines (IL-1α, IL-1β, IL-6, and TNF-α) and down-regulation of growth factors such as IGF-1 were down-regulated in brain tissues. Astrocytes appeared to be the origin of the increase in neuroinflammation and suggests that the “neuroprotective” effect of microglia may be due to inhibition of astrocyte activation (Jin et al., 2017).

The role of microglia in the setting of a neurotropic viral infection with mouse hepatitis virus (MHV) was explored. In mice that were depleted of microglia with PLX5622, viral replication post-inoculation peaked earlier (day 3 vs. day 5), persisted longer with diminished viral clearance kinetics. Also, microglia-depleted mice had greater morbidity and lethality (Wheeler et al., 2018).

Preventing Activation of Microglia

As alluded to earlier, microglia can transform into classical (“M1”) and alternative (“M2”) activated states depending on whether the stimulus is LPS or IL-4, respectively. In these two transformed states there is a differential upregulation of potassium (K) channels on the microglia with the Kv1.3 [sensitive to blockade with phenoxyalkoxypsoralen-1 (PAP-1)] predominating following LPS and the Kir2.1 (sensitive to blockade with barium) most prevalent following IL-4; the KCa3.1 channel, activated by Ca2+ (sensitive to TRAM-34), was expressed in lesser amounts. As there are selective blockers for each of these K channels it may be possible to attenuate expression and downstream effects of M1 vs. M2 microglia phenotypes (Nguyen et al., 2017).

Intracerebroventricular injection of lipopolysaccharides (ICV-LPS) increased the expression and current density of voltage-gated Kv1.3 channel (but not Kir2.1) as well as the neuroinflammation as evidenced by Iba-1 immunoreactivity and expression of pro-inflammatory mediators such as IL-1β, TNF-α, IL-6, and iNOS; hippocampal long-term potentiation (hLTP) could not be induced. In mice genetically devoid of Kv1.3, LPS failed to activate microglia, produce neuroinflammation and impair hLTP. Pharmacological intervention using PAP-1, a small molecule that selectively blocks homotetrameric Kv1.3 channels, achieved anti-inflammatory and hLTP-recovery effects similar to that seen in Kv1.3 knockout mice (Di Lucente et al., 2018).

The effect of PAP-1 in preventing microglial activation following transient MCAO in mice (60 min of ischemia followed by reperfusion) was investigated. Enhanced Kv1.3 staining, and higher current density, was observed on activated microglia that were isolated from the ischemic infarcts in mice. PAP-1 dose-dependently reduced infarct area, improved neurological deficit score, and reduced brain levels of IL-1β and IFN-γ without affecting IL-10 and brain-derived nerve growth factor (BDNF) levels or inhibiting ongoing phagocytosis (Chen et al., 2017).

Postoperative cognitive decline requires microglial activation as evidenced by the experiment in which mice undergoing orthopedic surgery were treated with PAP-1 and submitted to trace-fear conditioning (TFC) training and testing.

Freezing behavior of these mice was investigated and mice treated with PAP-1 after undergoing orthopedic surgery had a higher freezing time (P = 0.03). This was even more significant in diet-induced obese (DIO) mice (mimicking metabolic syndrome) (Figures 3A,B).

FIGURE 3
www.frontiersin.org

Figure 3. Role of Kv1.3 in postoperative cognitive decline in the trace fear-conditioning (TFC) paradigm. Applied for Permission to Reproduce Ieng et al. (2020). Cohorts of mice were trained in a TFC paradigm immediately before surgery and tested for freezing behavior 3 days after surgery. (A) Wild-type mice (12-14 weeks old C57bl/6j) were randomized to three groups (n = 8–9 per group) that received no surgery/vehicle, surgery/vehicle, or surgery/phenoxyalkoxypsoralen-1 (PAP-1). (B) Wild-type mice with diet-induced obesity (DIO) were randomized to three groups (n = 8–10 per group) that received no surgery/vehicle, surgery/vehicle, or surgery/PAP-1. (C) Mice deficient in Kv1.3 (Kv1.3–/–) were randomized to two groups (n = 910 per group) that received either sham (no surgery) or surgery. After wound closure and every 12 h thereafter, the mice randomized to PAP-1 received 40 mg kg1 i.p. vehicle consisted of MIGLYOL in the same volume as PAP-1. On the third day, freezing behavior was tested in the same context as the training. (A,B) Analyzed by one-way analysis of variance followed by Bonferroni post hoc test. (C) Analyzed by unpaired t-test. *P1/40.029; **P1/40.005; xP1/40.011; xxP1/40.030 (Ieng et al., 2020).

Kv1.3–/– mice also underwent surgery. However, since microglial activation was inhibited in these mice, freezing ratios were similar between “surgical and non-surgical” mice (Figure 3C).

Hippocampal IL-6 levels were investigated in the same murine population.

Surgery causes an increase in hippocampal IL-6 levels, however, pre-treatment with PAP-1 lowered these levels (P = 0.011) (Figure 4).

FIGURE 4
www.frontiersin.org

Figure 4. Phenoxyal koxypsoralen-1 (PAP-1) prevents surgery– induced hippocampal inflammation. Applied for Permission to Reproduce Ieng et al. (2020). Mice with diet-induced obesity were randomized to four groups (n = 8 per group) that received either no surgery or surgery, and either PAP-1 or vehicle. At 24 h after surgery, the animals were killed and hippocampi were removed and assayed for interleukin-6 (IL-6) by enzyme-linked immunosorbent assay. Data were analyzed by one-way analysis of variance followed by Bonferroni post hoc test. *P < 0.001; **P1/40.011 (Ieng et al., 2020).

Iba-1 staining images of the hippocampus of these mice revealed an increase in microglial activity post-operatively, successfully inhibited by PAP-1 treatment (Figure 5).

FIGURE 5
www.frontiersin.org

Figure 5. Phenoxyalkoxypsoralen-1 (PAP-1) attenuates surgery-induced microglial activation. Applied for Permission to Reproduce Ieng et al. (2020). Mice with diet-induced obesity (DIO) were randomized to three groups (n = 8 per group) that received neither surgery nor PAP-1 (DIO/sham), surgery alone with no PAP-1 (DIO/surgery), or surgery together with PAP-1 (DIO/surgery/PAP-1). After surgery, mice not randomized to receive PAP-1 (DIO/sham; DIO/surgery) were administered MIGLYOL, and mice randomized to PAP-1 received doses intraoperatively and 12 h postoperatively. At 24 h after surgery, mice were killed, and brains were perfused, fixed, and sectioned. Coronal sections (35 mm thick) from the dentate gyrus were stained with anti-Iba1 antibody. Immunofluorescence was performed with Alexa Fluor 488-labeled anti-rabbit antibody. (A) Representative photomicrographs from each of the groups. The upper panel represents DAPI staining, the middle panel staining for Iba1, and the lower panel a higher magnification. The internal scale marker represents 50 mm. (B) Iba1cells were counted manually by visual inspection of hippocampal sections of anatomically matched photomicrographs, with an average taken from four sequential sections per mouse. (C) To analyze microglial cell-body size (in pixels), each section was processed in a systematic way to create a binary image by applying a previously established threshold. (D) Iba1 fluorescence intensity [absorbance unit (AU)] was similarly measured with ImageJ from images captured using identical exposure times that also avoided saturating pixel intensities. Data [mean (standard deviation)] were analyzed by one-way analysis of variance followed by Bonferroni post hoc test. *P1/40.0012; **P < 0.001 (Ieng et al., 2020).

The same study also reveals interestingly that PAP-1 does not affect peripheral IL-6 levels, confirming the central nervous system activity of PAP-1 (Ieng et al., 2020).

Combined, these data, from the experiments with PAP-1, show that Kv1.3 may be a druggable target for neurological diseases in which microglia-mediated neurotoxicity is implicated in the pathogenesis.

The role of KCa3.1 has been studied in the setting of transient (60 min) MCAO in mice that was followed by 8 days of reperfusion. Microglia from the infarcted area exhibited higher densities of each of the K+ currents than was present in microglia from non-infarcted control brains. Strong Kv1.3 and KCa3.1 immunoreactivity was also found on activated microglia/macrophages from infarct areas in stroke subjects. Mice treated with 1-[(2-chlorophenyl) diphenylmethyl]-1H-pyrazole (TRAM-34), a selective KCa3.1 blocker, exhibited significantly smaller infarct size, and less of both neuroinflammation as well as neurological deficit after ischemic-reperfusion injury; similar data were found in KCa3.1/ mice. These data suggest that Kca3.1 may also be a pharmacological target for ischemic stroke (Chen et al., 2016).

Proliferation and activation of microglia is a prominent feature in Alzheimer’s Disease (AD) (Hansen et al., 2018). In a hippocampal slice preparation, application of oligomers of Aβ (AβO) increased the expression and activity of KCa3.1; in a mouse model of AD (5×FAD) and in AD patients the increase in expression and activity of KCa3.1 was also observed. In both the slice preparation as well as in the mouse AD model, the application of senicapoc, an inhibitor of KCa3.1, prevented proinflammatory and hLTP-impairing activities of AβO and neuroinflammation, amyloid load, and improved synaptic plasticity (Jin et al., 2019).

Discussion

Controversies

Depletion of microglia can result in divergent outcomes depending on the experimental model (vide supra). It will be important to determine whether these different outcomes are on the bases of experimental design (perturbants’ cell-specificity, dose, and timing with respect to microglial depletion/repletion kinetics) neuroanatomical lesion or other factors that affect the state of microglial polarization (vide infra).”

Because activated microglia can be both neurotoxic and neuroprotective, many investigators consider these diametrically opposite effects to be due to polarization between M1 (neurotoxic) and M2 (neuroprotective) phenotypes (Hanisch and Kettenmann, 2007; Ransohoff, 2016; Schoevers et al., 2016; Tang and Le, 2016; Lin et al., 2017; Zhang et al., 2017; Zabala et al., 2018; Butturini et al., 2019; Verdonk et al., 2019; Wang H. et al., 2020; Zhao et al., 2020) along the same lines as had previously been assigned to other tissue macrophages (Michelucci et al., 2009). However, this characterization has been hotly disputed (Ransohoff, 2016) and individual macrophage RNA seq data suggest a lack of exclusivity of the polarization states following traumatic brain damage (Kim et al., 2016). Therefore, this also brings into question whether modulators that reputedly transform microglia from one phenotype into another are realistic therapeutic opportunities (Song and Suk, 2017).

The concept that the CNS is an “immunoprivileged” compartment that is neither affected by, nor responsive to, peripheral inflammation has now been comprehensively debunked (Engelhardt et al., 2017). Rather, the CNS can almost be considered another lymphoid organ (Negi and Das, 2018) as well as a means whereby peripheral inflammation can be resolved (Caravaca et al., 2019).

Fundamental Concepts and Potential Developments in the Field

Microglia migrate to the neural tube from the yolk sac during embryogenesis before the establishment of the BBB. However, microglia themselves may be dynamically involved in barrier function (Ronaldson and Davis, 2020) although a neat characterization into leak-inducing M1 and barrier-enhancing M2 phenotypes is probably invalid. Even in states in which the BBB has been disrupted, proliferation of microglia originates from precursor cells within the CNS rather than migration from outside of the CNS (Gu et al., 2016).

Current Research Gaps

Whereas microglia require enhanced potassium ion translocation to become activated (Nguyen et al., 2017) it is not certain whether the species of ion channels involved (namely Kv1.3, KCa3.1, and Kir2.1) are exclusively confined to this cell-type or whether these channels exist on other types of macrophages or even non-immune cells. Further characterization of these ion channel species is required before it is definitively known whether blockade with specific inhibitors is likely to result in any off-target effect.

Studies have confirmed that attenuation of the trophic signaling of CSF-1 will result in depletion of microglia (Patel and Player, 2009; Elmore et al., 2014; Dagher et al., 2015; Rice et al., 2015; Li et al., 2017; Henry et al., 2020; Oh et al., 2020). While beneficial effects of microglial depletion have resulted in an improved outcome, for example in models of PND (Feng et al., 2017b), it is not certain whether these initial benefits may be at the expense of adverse outcomes from the loss of the protective effects of microglia (Bilbo and Schwarz, 2009; Wheeler et al., 2018; Yang et al., 2018). Furthermore, before microglial depletion can be a therapeutic strategy, a more comprehensive understanding of the time-course of microglial changes in the various injury states is needed.

Potential Developments in the Field

Now that studies have revealed that the acute form of PND can be mitigated by depleting (Feng et al., 2017b) or preventing the activation of microglia (Ieng et al., 2020), it will be important to discover the effect of these types of perturbations on the more chronic forms of PND such as Delayed Neurocognitive Recovery (within 30 days of surgery) and Postoperative Neurocognitive Disorders (within 12 months) (Evered et al., 2018). Furthermore, therapeutic options will be enhanced by the development of microglial perturbants that have a more rapid pharmacokinetics which can then be effective, not only pre-emptively, but also after the onset of a microglial-mediated injury.

As patients with pre-existing cognitive impairment are more likely to develop postoperative delirium (Styra et al., 2019), it will be important to determine whether microglia in neurodegenerative disorders are amenable to peri-operative manipulations that prevent its activation and the onset of postoperative delirium.

The molecular mechanisms whereby activated microglia produce postoperative cognitive decline are not known in detail. It is clear that microglia are crucial for synaptic pruning during development and that there are “eat me” molecular signals needed for physiologic forgetfulness (vide supra); however, only recently has attention focused on the ability of microglia to engage in synaptic pruning to produce the plasticity changes of different disease states (Geloso and D’Ambrosi, 2021).

The precise state of microglial function (activated or not; phenotypic type), will be an important guide to defining treatment options. At this juncture, the only non-invasive method of defining the activation state of microglia is by imaging studies with a PET ligand that binds to the translocator protein (TSPO) that is more highly expressed on activated microglia (Forsberg et al., 2017); such an investigation requires serial scans to demonstrate a change in the individual patient. What is required is a more versatile biomarker whose activity can define activation as a binary state.

Conclusion

The centrality of microglia for both protection and injury to the central nervous system (CNS) remains enigmatic. Perhaps the over-arching reason for these seemingly contradictory outcomes depends on the transformation of microglia that extends beyond a dichotomous neurotoxic (M1) and neuroprotective (M2) phenotypes. Because of its both beneficial and harmful properties, microglia may prove to be an important mediator of both CNS health and disease including Perioperative Neurocognitive Disorders.

Author Contributions

SS: data collection and writing up draft of the manuscript. VK: data collection. JV: data collection. MM: data collection and writing up draft of the manuscript. All authors have read and approved the manuscript.

Funding

This work was supported by the Department of Anesthesia, Charleroi.

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.

References

Arends, Y. M., Duyckaerts, C., Rozemuller, J. M., Eikelenboom, P., and Hauw, J. J. (2000). Microglia, amyloid and dementia in alzheimer disease. A correlative study. Neurobiol. Aging 21, 39–47. doi: 10.1016/s0197-4580(00)00094-4

CrossRef Full Text | Google Scholar

Banati, R. B., Daniel, S. E., and Blunt, S. B. (1998). Glial pathology but absence of apoptotic nigral neurons in long-standing Parkinson’s disease. Mov. Disord. 13, 221–227. doi: 10.1002/mds.870130205

PubMed Abstract | CrossRef Full Text | Google Scholar

Barrientos, R. M., Frank, M. G., Watkins, L. R., and Maier, S. F. (2010). Memory impairments in healthy aging: Role of aging-induced microglial sensitization. Aging Dis. 1, 212–231.

Google Scholar

Bilbo, S. D., and Schwarz, J. M. (2009). Early-life programming of later-life brain and behavior: a critical role for the immune system. Front. Behav. Neurosci. 3:14. doi: 10.3389/neuro.08.014.2009

PubMed Abstract | CrossRef Full Text | Google Scholar

Boillee, S., Yamanaka, K., Lobsiger, C. S., Copeland, N. G., Jenkins, N. A., Kassiotis, G., et al. (2006). Onset and progression in inherited ALS determined by motor neurons and microglia. Science 312, 1389–1392. doi: 10.1126/science.1123511

PubMed Abstract | CrossRef Full Text | Google Scholar

Butturini, E., Boriero, D., Carcereri de Prati, A., and Mariotto, S. (2019). STAT1 drives M1 microglia activation and neuroinflammation under hypoxia. Arch. Biochem. Biophys. 669, 22–30. doi: 10.1016/j.abb.2019.05.011

PubMed Abstract | CrossRef Full Text | Google Scholar

Caravaca, A. S., Gallina, A. L., Tarnawski, L., Tracey, K. J., Pavlov, V. A., Levine, Y. A., et al. (2019). An Effective Method for Acute Vagus Nerve Stimulation in Experimental Inflammation. Front. Neurosci. 13:877. doi: 10.3389/fnins.2019.00877

PubMed Abstract | CrossRef Full Text | Google Scholar

Chen, Y. J., Nguyen, H. M., Maezawa, I., Grossinger, E. M., Garing, A. L., Kohler, R., et al. (2016). The potassium channel KCa3.1 constitutes a pharmacological target for neuroinflammation associated with ischemia/reperfusion stroke. J. Cereb Blood Flow Metab. 36, 2146–2161. doi: 10.1177/0271678X15611434

PubMed Abstract | CrossRef Full Text | Google Scholar

Chen, Y. J., Nguyen, H. M., Maezawa, I., Jin, L. W., and Wulff, H. (2017). Inhibition of the potassium channel Kv1.3 reduces infarction and inflammation in ischemic stroke. Ann. Clin. Transl. Neurol. 5, 147–161. doi: 10.1002/acn3.513

PubMed Abstract | CrossRef Full Text | Google Scholar

Choudhury, M. E., Miyanishi, K., Takeda, H., Islam, A., Matsuoka, N., Kubo, M., et al. (2020). Phagocytic elimination of synapses by microglia during sleep. Glia 68, 44–59. doi: 10.1002/glia.23698

PubMed Abstract | CrossRef Full Text | Google Scholar

Cibelli, M., Fidalgo, A. R., Terrando, N., Ma, D., Monaco, C., Feldmann, M., et al. (2010). Role of interleukin-1beta in postoperative cognitive dysfunction. Ann. Neurol. 68, 360–368. doi: 10.1002/ana.22082

PubMed Abstract | CrossRef Full Text | Google Scholar

Cope, E. C., Lamarca, E. A., Monari, P. K., Olson, L. B., Martinez, S., and Zych, A. D. (2018). Microglia Play an Active Role in Obesity-Associated Cognitive Decline. J. Neurosci. 38, 8889–8904. doi: 10.1523/JNEUROSCI.0789-18.2018

PubMed Abstract | CrossRef Full Text | Google Scholar

Czeh, M., Gressens, P., and Kaindl, A. M. (2011). The yin and yang of microglia. Dev. Neurosci. 33, 199–209. doi: 10.1159/000328989

PubMed Abstract | CrossRef Full Text | Google Scholar

Dagher, N. N., Najafi, A. R., Kayala, K. M. N., Elmore, M. R. P., White, T. E., Medeiros, R., et al. (2015). Colony-stimulating factor 1 receptor inhibition prevents microglial plaque association and improves cognition in 3xTg-AD mice. J. Neuroinflammation 12:139. doi: 10.1186/s12974-015-0366-9

PubMed Abstract | CrossRef Full Text | Google Scholar

De Luca, S. N., Soch, A., Sominsky, L., Nguyen, T. X., Bosakhar, A., and Spencer, S. J. (2020). Glial remodeling enhances short-term memory performance in Wistar rats. J. Neuroinflammation 17:52. doi: 10.1186/s12974-020-1729-4

PubMed Abstract | CrossRef Full Text | Google Scholar

Degos, V., Vacas, S., Han, Z., Van Rooijen, N., Gressens, P., Hua, S., et al. (2013). Depletion of bone marrow-derived macrophages perturbs the innate immune response to surgery and reduces postoperative memory dysfunction. Anesthesiology 118, 527–536. doi: 10.1097/ALN.0b013e3182834d94

PubMed Abstract | CrossRef Full Text | Google Scholar

Di Lucente, J., Nguyen, H. M., Wulff, H., Jin, L. W., and Maezawa, I. (2018). The voltage-gated potassium channel Kv1.3 is required for microglial pro-inflammatory activation in vivo. Glia 66, 1881–1895. doi: 10.1002/glia.23457

PubMed Abstract | CrossRef Full Text | Google Scholar

Edison, P., Archer, H. A., Gerhard, A., Hinz, R., Pavese, N., Turkheimer, F. E., et al. (2008). Microglia, amyloid, and cognition in Alzheimer’s disease: An [11C](R)PK11195-PET and [11C]PIB-PET study. Neurobiol. Dis. 32, 412–419. doi: 10.1016/j.nbd.2008.08.001

PubMed Abstract | CrossRef Full Text | Google Scholar

Elmore, M. R. P., Najafi, A. R., Koike, M. A., Dagher, N. N., Spangenberg, E. E., Rice, R. A., et al. (2014). Colony-stimulating factor 1 receptor signaling is necessary for microglia viability, unmasking a microglia progenitor cell in the adult brain. Neuron 82, 380–397. doi: 10.1016/j.neuron.2014.02.040

PubMed Abstract | CrossRef Full Text | Google Scholar

Engelhardt, B., Vajkoczy, P., and O’Weller, R. (2017). The movers and shapers in immune privilege of the CNS. Nat. Immunol. 18, 123–131. doi: 10.1038/ni.3666

PubMed Abstract | CrossRef Full Text | Google Scholar

Evered, L. A., Silbert, B., Scott, D., and Eckenhoff, R. (2018). Nomenclature Consensus Working Group. Recommendations for the Nomenclature of Cognitive Change Associated with Anaesthesia and Surgery – 2018. Anesthesiology 129, 872–879. doi: 10.1097/ALN.0000000000002334

PubMed Abstract | CrossRef Full Text | Google Scholar

Feng, X., Uchida, Y., Koch, L., Britton, S., Hu, J., Lutrin, D., et al. (2017a). Exercise Prevents Enhanced Postoperative Neuroinflammation and Cognitive Decline and Rectifies the Gut Microbiome in a Rat Model of Metabolic Syndrome. Front. Immunol. 8:1768. doi: 10.3389/fimmu.2017.01768

PubMed Abstract | CrossRef Full Text | Google Scholar

Feng, X., Valdearcos, M., Uchida, Y., Lutrin, D., Maze, M., and Koliwad, S. K. (2017b). Microglia mediate postoperative hippocampal inflammation and cognitive decline in mice. JCI Insight 2:e91229. doi: 10.1172/jci.insight.91229

PubMed Abstract | CrossRef Full Text | Google Scholar

Ferrer, I., Bernet, E., Soriano, E., Del Rio, T., and Fonseca, M. (1990). Naturally occurring cell death in the cerebral cortex of the rat and removal of dead cells by transitory phagocytes. Neuroscience 39, 451–458. doi: 10.1016/0306-4522(90)90281-8

CrossRef Full Text | Google Scholar

Ferrini, F., and De Koninck, Y. (2013). Microglia control neuronal network excitability via BDNF signalling. Neural. Plast 2013:429815. doi: 10.1155/2013/429815

PubMed Abstract | CrossRef Full Text | Google Scholar

Forsberg, A., Cervenka, S., Fagerlund, M. J., Rasmussen, L. S., Zetterberg, H., Harris, H. E., et al. (2017). The immune response of the human brain to abdominal surgery. Ann. Neurol. 81, 572–582. doi: 10.1002/ana.24909

PubMed Abstract | CrossRef Full Text | Google Scholar

Frank, S., Copanaki, E., Burbach, G. J., Muller, U. C., and Deller, T. (2009). Differential regulation of toll-like receptor mRNAs in amyloid plaque-associated brain tissue of aged APP23 transgenic mice. Neurosci. Lett. 453, 41–44. doi: 10.1016/j.neulet.2009.01.075

PubMed Abstract | CrossRef Full Text | Google Scholar

Geloso, M. C., and D’Ambrosi, N. (2021). Microglial Pruning: Relevance for Synaptic Dysfunction in Multiple Sclerosis and Related Experimental Models. Cells 10, 686–703. doi: 10.3390/cells10030686

CrossRef Full Text | Google Scholar

Ginhoux, F., Greter, M., Leboeuf, M., Nandi, S., See, P., and Gokhan, S. (2010). Fate mapping analysis reveals that adult microglia derive from primitive macrophages. Science 330, 841–845. doi: 10.1126/science.1194637

PubMed Abstract | CrossRef Full Text | Google Scholar

Gu, N., Peng, J., Murugan, M., Wang, X., Eyo, U. B., Sun, D., et al. (2016). Spinal Microgliosis Due to Resident Microglial Proliferation Is Required for Pain Hypersensitivity after Peripheral Nerve Injury. Cell Rep. 16, 605–614. doi: 10.1016/j.celrep.2016.06.018

PubMed Abstract | CrossRef Full Text | Google Scholar

Hanisch, U. K., and Kettenmann, H. (2007). Microglia: active sensor and versatile effector cells in the normal and pathologic brain. Nat. Neurosci. 10, 1387–1394. doi: 10.1038/nn1997

PubMed Abstract | CrossRef Full Text | Google Scholar

Hansen, D. V., Hanson, J. E., and Sheng, M. (2018). Microglia in Alzheimer’s disease. J. Cell Biol. 217, 459–472. doi: 10.1083/jcb.201709069

PubMed Abstract | CrossRef Full Text | Google Scholar

Harry, G. J., and Kraft, A. D. (2008). Neuroinflammation and microglia: considerations and approaches for neurotoxicity assessment. Exp. Opin Drug Metab. Toxicol. 4, 1265–1277. doi: 10.1517/17425255.4.10.1265

PubMed Abstract | CrossRef Full Text | Google Scholar

Henry, R. J., Ritzel, R. M., Barrett, J. P., Doran, S. J., Jiao, Y., Leach, J. B., et al. (2020). Microglial Depletion with CSF1R Inhibitor During Chronic Phase of Experimental Traumatic Brain Injury Reduces Neurodegeneration and Neurological Deficits. J. Neurosci. 40, 2960–2974. doi: 10.1523/JNEUROSCI.2402-19.2020

PubMed Abstract | CrossRef Full Text | Google Scholar

Hoshiko, M., Arnoux, I., Avignone, E., Yamamoto, N., and Audinat, E. (2012). Deficiency of the microglial receptor CX3CR1 impairs postnatal functional development of thalamocortical synapses in the barrel cortex. J. Neurosci. 32, 15106–15111. doi: 10.1523/JNEUROSCI.1167-12.2012

PubMed Abstract | CrossRef Full Text | Google Scholar

Hu, J., Feng, X., Valdearcos, M., Lutrin, D., Uchida, Y., Koliwad, S. K., et al. (2018a). Interleukin-6 is both necessary and sufficient to produce perioperative neurocognitive disorder in mice. Br. J. Anaesth 120, 537–545. doi: 10.1016/j.bja.2017.11.096

PubMed Abstract | CrossRef Full Text | Google Scholar

Hu, J., Vacas, S., Feng, X., Lutrin, D., Uchida, Y., Lai, I. K., et al. (2018b). Dexmedetomidine Prevents Cognitive Decline by Enhancing Resolution of High Mobility Group Box 1 Protein-induced Inflammation through a Vagomimetic Action in Mice. Anesthesiology 128, 921–931. doi: 10.1097/ALN.0000000000002038

PubMed Abstract | CrossRef Full Text | Google Scholar

Hua, J. Y., and Smith, S. J. (2004). Neural activity and the dynamics of central nervous system development. Nat. Neurosci. 7, 327–332. doi: 10.1038/nn1218

PubMed Abstract | CrossRef Full Text | Google Scholar

Ieng, K. L., Valdearcos, M., Morioka, K., Saxena, S., Feng, X., Li, R., et al. (2020). Blocking Kv1.3 potassium channels prevents postoperative neuroinflammation and cognitive decline without impairing wound healing in mice. Br. J. Anaesth 125, 298–307. doi: 10.1016/j.bja.2020.05.018

PubMed Abstract | CrossRef Full Text | Google Scholar

Imamura, K., Hishikawa, N., Sawada, M., Nagatsu, T., Yoshida, M., and Hashizume, Y. (2003). Distribution of major histocompatibility complex class II-positive microglia and cytokine profile of Parkinson’s disease brains. Acta Neuropathol. 106, 518–526. doi: 10.1007/s00401-003-0766-2

PubMed Abstract | CrossRef Full Text | Google Scholar

Jack, C. S., Arbour, N., Manusow, J., Montgrain, V., Blain, M., McCrea, E., et al. (2005). TLR signaling tailors innate immune responses in human microglia and astrocytes. J. Immunol. 175, 4320–4330. doi: 10.4049/jimmunol.175.7.4320

PubMed Abstract | CrossRef Full Text | Google Scholar

Jin, L. W., Di Lucente, J., Nguyen, H. M., Singh, V., Singh, L., Chavez, M., et al. (2019). Repurposing the KCa3.1 inhibitor senicapoc for Alzheimer’s disease. Ann. Clin. Transl. Neurol. 6, 723–738. doi: 10.1002/acn3.754

PubMed Abstract | CrossRef Full Text | Google Scholar

Jin, W. N., Shi, S. X. Y., Li, Z., Li, M., Wood, K., Gonzales, R., et al. (2017). Depletion of microglia exacerbates postischemic inflammation and brain injury. J. Cereb Blood Flow Metab. 37, 2224–2236. doi: 10.1177/0271678X17694185

PubMed Abstract | CrossRef Full Text | Google Scholar

Kettenmann, H., Kirchhoff, F., and Verkhratsky, A. (2013). Microglia: new roles for the synaptic stripper. Neuron 77, 10–18. doi: 10.1016/j.neuron.2012.12.023

PubMed Abstract | CrossRef Full Text | Google Scholar

Kim, C. C., Nakamura, M. C., and Hsieh, C. L. (2016). Brain trauma elicits non-canonical macrophage activation states. J. Neuroinflammation 24:117. doi: 10.1186/s12974-016-0581-z

PubMed Abstract | CrossRef Full Text | Google Scholar

Lehnardt, S., Lehmann, S., Kaul, D., Tschimmel, K., Hoffmann, O., Cho, S., et al. (2007). Toll-like receptor 2 mediates CNS injury in focal cerebral ischemia. J. Neuroimmunol. 190, 28–33. doi: 10.1016/j.jneuroim.2007.07.023

PubMed Abstract | CrossRef Full Text | Google Scholar

Li, M., Li, Z., Ren, H., Ji, W. N., Wood, K., Liu, Q., et al. (2017). Colony stimulating factor 1 receptor inhibition eliminates microglia and attenuates brain injury after intracerebral hemorrhage. J. Cereb. Blood Flow Metab. 37, 2383–2395. doi: 10.1177/0271678X16666551

PubMed Abstract | CrossRef Full Text | Google Scholar

Li, Y., Du, X. F., Liu, C. S., Wen, Z. L., and Du, J. L. (2012). Reciprocal regulation between resting microglial dynamics and neuronal activity in vivo. Dev. Cell 23, 1189–1202. doi: 10.1016/j.devcel.2012.10.027

PubMed Abstract | CrossRef Full Text | Google Scholar

Lin, L., Yihao, T., Zhou, F., Yin, N., Qiang, T., Haowen, Z., et al. (2017). Inflammatory Regulation by Driving Microglial M2 Polarization: Neuroprotective Effects of Cannabinoid Receptor-2 Activation in Intracerebral Hemorrhage. Front. Immunol. 8:112. doi: 10.3389/fimmu.2017.00112

PubMed Abstract | CrossRef Full Text | Google Scholar

McDonald, C. L., Hennessy, E., Rubio-Araiz, A., Keogh, B., McCormack, W., McGuirk, P., et al. (2016). Inhibiting TLR2 activation attenuates amyloid accumulation and glial activation in a mouse model of Alzheimer’s disease. Brain Behav. Immun. 58, 191–200. doi: 10.1016/j.bbi.2016.07.143

PubMed Abstract | CrossRef Full Text | Google Scholar

Michelucci, A., Heurtaux, T., Grandbarbe, L., Morga, E., and Heuschling, P. (2009). Characterization of the microglial phenotype under specific pro-inflammatory and anti-inflammatory conditions: Effects of oligomeric and fibrillar amyloid-beta. J. Neuroimmunol. 210, 3–12. doi: 10.1016/j.jneuroim.2009.02.003

PubMed Abstract | CrossRef Full Text | Google Scholar

Miller, J. K. (2004). Microglia initiate central nervous system innate and adaptive immune responses through multiple TLRs. J. Imminol. 173, 3916–3924. doi: 10.4049/jimmunol.173.6.3916

PubMed Abstract | CrossRef Full Text | Google Scholar

Negi, N., and Das, B. K. C. N. S. (2018). Not an immunoprivilaged site anymore but a virtual secondary lymphoid organ. Int. Rev. Immunol. 37, 57–68. doi: 10.1080/08830185.2017.1357719

PubMed Abstract | CrossRef Full Text | Google Scholar

Neumann, H., Kotter, M. R., and Franklin, R. J. M. (2009). Debris clearance by microglia: an essential link between degeneration and regeneration. Brain 132, 288–295. doi: 10.1093/brain/awn109

PubMed Abstract | CrossRef Full Text | Google Scholar

Nguyen, H. M., Grossinger, E. M., Horiuchi, M., Davis, K. W., Jin, L. W., Maezawa, I., et al. (2017). Differential Kv1.3, KCa3.1, and Kir2.1 expression in “classically” and “alternatively” activated microglia. Glia 65, 106–121. doi: 10.1002/glia.23078

PubMed Abstract | CrossRef Full Text | Google Scholar

Nishiyama, J., and Yasuda, R. (2015). Biochemical Computation for Spine Structural Plasticity. Neuron 87, 63–75. doi: 10.1016/j.neuron.2015.05.043

PubMed Abstract | CrossRef Full Text | Google Scholar

Oh, S. J., Ahn, H., Jung, K. H., Han, S. J., Nam, K. R., Kang, K. J., et al. (2020). Evaluation of the Neuroprotective Effect of Microglial Depletion by CSF-1R Inhibition in a Parkinson’s Animal Model. Mol. Imaging Biol. 22, 1031–1042. doi: 10.1007/s11307-020-01485-w

PubMed Abstract | CrossRef Full Text | Google Scholar

Paolicelli, R. C., Bolasco, G., Pagani, F., Maggi, L., Scianni, M., Panzanelli, P., et al. (2011). Synaptic pruning by microglia is necessary for normal brain development. Science 333, 1456–1458. doi: 10.1126/science.1202529

PubMed Abstract | CrossRef Full Text | Google Scholar

Parkhurst, C. N., Yang, G., Ninan, I., Savas, J. N., Yates, J. R., Lafaille, J. J., et al. (2013). Microglia promote learning-dependent synapse formation through brain-derived neurotrophic factor. Cell 155, 1596–1609. doi: 10.1016/j.cell.2013.11.030

PubMed Abstract | CrossRef Full Text | Google Scholar

Patel, S., and Player, M. R. (2009). Colony-stimulating factor-1 receptor inhibitors for the treatment of cancer and inflammatory disease. Curr. Top Med. Chem. 9, 599–610. doi: 10.2174/156802609789007327

PubMed Abstract | CrossRef Full Text | Google Scholar

Perdiguero, E. G., Klapproth, K., Schulz, C., Busch, K., Azzoni, E., Crozet, L., et al. (2015). Tissue-resident macrophages originate from yolk-sac-derived erythro-myeloid progenitors. Nature 518, 547–551. doi: 10.1038/nature13989

PubMed Abstract | CrossRef Full Text | Google Scholar

Ransohoff, R. M. A. (2016). polarizing question: do M1 and M2 microglia exist? Nat. Neurosci. 19, 987–991. doi: 10.1038/nn.4338

PubMed Abstract | CrossRef Full Text | Google Scholar

Rice, R. A., Spangenberg, E. E., Yamate-Morgan, H., Lee, R. J., Arora, R. P. S., Hernandez, M. X., et al. (2015). Elimination of Microglia Improves Functional Outcomes Following Extensive Neuronal Loss in the Hippocampus. Neurosci 35, 9977–9989. doi: 10.1523/JNEUROSCI.0336-15.2015

PubMed Abstract | CrossRef Full Text | Google Scholar

Ronaldson, P. T., and Davis, T. P. (2020). Regulation of blood-brain barrier integrity by microglia in health and disease: A therapeutic opportunity. J. Cereb Blood Flow Metab. 40, S6–S24. doi: 10.1177/0271678X20951995

PubMed Abstract | CrossRef Full Text | Google Scholar

Schafer, D. P., Lehrman, E. K., Kautzman, A. G., Koyama, R., Mardinly, A. R., Yamasaki, R., et al. (2012). Microglia sculpt postnatal neural circuits in an activity and complement-dependent manner. Neuron 74, 691–705. doi: 10.1016/j.neuron.2012.03.026

PubMed Abstract | CrossRef Full Text | Google Scholar

Schoevers, R. A., Chaves, T. V., Balukova, S. M., Aan het Rot, M., and Kortekaas, R. (2016). Oral ketamine for the treatment of pain and treatment-resistant depression. Br. J. Psychiatr. 208, 108–113. doi: 10.1192/bjp.bp.115.165498

PubMed Abstract | CrossRef Full Text | Google Scholar

Song, G. J., and Suk, K. (2017). Pharmacological Modulation of Functional Phenotypes of Microglia in Neurodegenerative Diseases. Front. Aging Neurosci. 9:139. doi: 10.3389/fnagi.2017.00139

PubMed Abstract | CrossRef Full Text | Google Scholar

Squarzoni, P., Oller, G., Hoeffel, G., Pont-Lezica, L., Rostaing, P., Low, D., et al. (2014). Microglia modulate wiring of the embryonic forebrain. Cell Rep. 8, 1271–1279. doi: 10.1016/j.celrep.2014.07.042

PubMed Abstract | CrossRef Full Text | Google Scholar

Styra, R., Larsen, E., Dimas, M. A., Baston, D., and Elgie-Watson. (2019). The effect of preoperative cognitive impairment and type of vascular surgery procedure on postoperative delirium with associated cost implications. J. Vasc. Surg. 69, 201–209. doi: 10.1016/j.vs.2018.05.001

CrossRef Full Text | Google Scholar

Tang, Y., and Le, W. (2016). Differential Roles of M1 and M2 Microglia in Neurodegenerative Diseases. Mol. Neurobiol. 53, 1181–1194. doi: 10.1007/s12035-014-9070-5

PubMed Abstract | CrossRef Full Text | Google Scholar

Terrando, N., Eriksson, L. I., Ryu, J. K., Yang, T., Monaco, C., Feldmann, M., et al. (2011). Resolving postoperative neuroinflammation and cognitive decline. Ann. Neurol. 70, 986–995. doi: 10.1002/ana.22664

PubMed Abstract | CrossRef Full Text | Google Scholar

Terrando, N., Monaco, C., Ma, D., Foxwell, B. M. J., Feldmann, M., and Maze, M. (2010). Tumor necrosis factor-alpha triggers a cytokine cascade yielding postoperative cognitive decline. Proc. Natl. Acad. Sci. USA 107, 20518–20522. doi: 10.1073/pnas.1014557107

PubMed Abstract | CrossRef Full Text | Google Scholar

Vacas, S., Degos, V., Tracey, K. J., and Maze, M. (2014). High-mobility group box 1 protein initiates postoperative cognitive decline by engaging bone marrow-derived macrophages. Anesthsiology 120, 1160–1167. doi: 10.1097/ALN.0000000000000045

PubMed Abstract | CrossRef Full Text | Google Scholar

Verdonk, F., Petit, A. C., Abdel-Ahad, P., Vinckier, F., Jouvion, G., De Maricourt, P., et al. (2019). Microglial production of quinolinic acid as a target and a biomarker of the antidepressant effect of ketamine. Brain Behav. Immun. 81, 361–373. doi: 10.1016/j.bbi.2019.06.033

PubMed Abstract | CrossRef Full Text | Google Scholar

Verney, C., Monier, A., Fallet-Bianco, C., and Gressens, P. (2010). Early microglial colonization of the human forebrain and possible involvement in periventricular white-matter injury of preterm infants. J. Anat. 217, 436–448. doi: 10.1111/j.1469-7580.2010.01245.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Wake, H., Moorhouse, A. J., Jinno, S., Kohsaka, S., and Nabekura, J. (2009). Resting microglia directly monitor the functional state of synapses in vivo and determine the fate of ischemic terminals. J. Neurosci. 29, 3974–3980. doi: 10.1523/JNEUROSCI.4363-08.2009

PubMed Abstract | CrossRef Full Text | Google Scholar

Wan, Y., Xu, J., Ma, D., Zeng, Y., Cibelli, M., and Maze, M. (2007). Postoperative impairment of cognitive function in rats: a possible role for cytokine-mediated inflammation in the hippocampus. Anesthesiology 106, 436–443. doi: 10.1097/00000542-200703000-00007

PubMed Abstract | CrossRef Full Text | Google Scholar

Wang, C., Yue, H., Hu, Z., Shen, Y., Ma, J., Li, J., et al. (2020). Microglia mediate forgetting via complement-dependent synaptic elimination. Science 367, 688–694. doi: 10.1126/science.aaz2288

PubMed Abstract | CrossRef Full Text | Google Scholar

Wang, H., Peng, G., Wang, B., Yin, H., Fang, X., He, F., et al. (2020). IL-1R –/– alleviates cognitive deficits through microglial M2 polarization in AD mice. Brain Res. Bull. 157, 10–17. doi: 10.1016/j.brainresbull.2019.11.020

PubMed Abstract | CrossRef Full Text | Google Scholar

Wheeler, D. L., Sariol, A., Meyerholz, D. K., and Perlman, S. (2018). Microglia are required for protection against lethal coronavirus encephalitis in mice. J. Clin. Invest. 128, 931–943. doi: 10.1172/JCI97229

PubMed Abstract | CrossRef Full Text | Google Scholar

Yang, X., Ren, H., Wood, K., Li, M., Qiu, S., Shi, F. D., et al. (2018). Depletion of microglia augments the dopaminergic neurotoxicity of MPTP. Faseb J. 32, 3336–3345. doi: 10.1096/fj.201700833RR

PubMed Abstract | CrossRef Full Text | Google Scholar

Zabala, A., Vazquez-Villoldo, N., Rissiek, B., Gejo, J., Martin, A., Palomino, A., et al. (2018). P2X4 receptor controls microglia activation and favors remyelination in autoimmune encephalitis. EMBO Mol. Med. 10:e8743. doi: 10.15252/emmm.201708743

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhang, F., Zhong, R., Li, S., Fu, Z., Cheng, C., Cai, H., et al. (2017). Acute Hypoxia Induced an Imbalanced M1/M2 Activation of Microglia through NF-κB Signaling in Alzheimer’s Disease Mice and Wild-Type Littermates. Front. Aging Neurosci. 9:282. doi: 10.3389/fnagi.2017.00282

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhao, Y., Gan, Y., Xu, G., Yin, G., and Liu, D. (2020). MSCs-Derived Exosomes Attenuate Acute Brain Injury and Inhibit Microglial Inflammation by Reversing CysLT2R-ERK1/2 Mediated Microglia M1 Polarization. Neurochem. Res. 45, 1180–1190. doi: 10.1007/s11064-020-02998-0

PubMed Abstract | CrossRef Full Text | Google Scholar

Zuo, Y., Lin, A., Chang, P., and Gan, W. B. (2005). Development of long-term dendritic spine stability in diverse regions of cerebral cortex. Neuron 46, 181–189. doi: 10.1016/j.neuron.2005.04.001

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: microglia, cognition, perioperative neurocognitive disorders, surgery, neuroinflammation

Citation: Saxena S, Kruys V, Vamecq J and Maze M (2021) The Role of Microglia in Perioperative Neuroinflammation and Neurocognitive Disorders. Front. Aging Neurosci. 13:671499. doi: 10.3389/fnagi.2021.671499

Received: 23 February 2021; Accepted: 04 May 2021;
Published: 28 May 2021.

Edited by:

Niccolo Terrando, Duke University, United States

Reviewed by:

Nadia Lunardi, University of Virginia, United States
Yiying Zhang, Massachusetts General Hospital and Harvard Medical School, United States

Copyright © 2021 Saxena, Kruys, Vamecq and Maze. 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: Mervyn Maze, Mervyn.maze@ucsf.edu

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.