Skip to main content

REVIEW article

Front. Cell. Neurosci., 21 October 2022
Sec. Cellular Neuropathology
This article is part of the Research Topic Ischemic Stroke as Systemic Disorder Involving Both Nervous and Immune Systems View all 10 articles

Roles of peripheral immune cells in the recovery of neurological function after ischemic stroke

\r\nZhaolong ZhangZhaolong Zhang1Mengfei Lv,Mengfei Lv2,3Xin Zhou,Xin Zhou2,3Yu Cui,*Yu Cui2,3*
  • 1Department of Interventional Radiology, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China
  • 2Institute of Neuroregeneration and Neurorehabilitation, Qingdao University, Qingdao, Shandong, China
  • 3Qingdao Medical College, Qingdao University, Qingdao, Shandong, China

Stroke is a leading cause of mortality and long-term disability worldwide, with limited spontaneous repair processes occurring after injury. Immune cells are involved in multiple aspects of ischemic stroke, from early damage processes to late recovery-related events. Compared with the substantial advances that have been made in elucidating how immune cells modulate acute ischemic injury, the understanding of the impact of the immune system on functional recovery is limited. In this review, we summarized the mechanisms of brain repair after ischemic stroke from both the neuronal and non-neuronal perspectives, and we review advances in understanding of the effects on functional recovery after ischemic stroke mediated by infiltrated peripheral innate and adaptive immune cells, immune cell-released cytokines and cell-cell interactions. We also highlight studies that advance our understanding of the mechanisms underlying functional recovery mediated by peripheral immune cells after ischemia. Insights into these processes will shed light on the double-edged role of infiltrated peripheral immune cells in functional recovery after ischemic stroke and provide clues for new therapies for improving neurological function.

Introduction

Stroke is the leading cause of adult disability, and approximately sixty percent of survivors have motor, sensory, memory or language function deficits (Carmichael, 2006). There are two major types of strokes: ischemic stroke and intracerebral hemorrhage. Ischemic stroke occurs when a vessel supplying blood to the brain is obstructed, and accounts for 70–80% of all stroke cases (Feigin et al., 2009). Ischemic stroke can initiate neuronal death, which further result in blood–brain barrier (BBB) disruption and neuroinflammation cascades, leading to severe neurological deficits (Iadecola and Anrather, 2011; Lyu et al., 2021). Generally, the adult brain is considered to have an extremely limited capacity for regeneration. Nevertheless, a growing body of literature suggests that diseases or injuries can trigger molecular, vascular, glial, neuronal, or environmental events that regulate brain repair (Cramer and Riley, 2008; Varadarajan et al., 2022). Likewise, both neuronal and non-neuronal mechanisms, such as neurogenesis, angiogenesis, astrogliosis and oligodendrogenesis, contribute to the improvement of behavioral deficits in the long-term after ischemic stroke (Font et al., 2010; Hu et al., 2015). Considering the lack of therapeutic drugs that can be administered during the late stage of stroke, it is of great importance to illuminate the mechanisms underlying the complicated repair processes.

As immune cells are essential for both initiating and resolving inflammatory responses, the regulation of brain injury and repair of immune cells are becoming increasingly understood (Seifert and Pennypacker, 2014; Prinz and Priller, 2017; Carrasco et al., 2022). Ischemic damage-induced sterile neuroinflammation, which is caused by recognition by danger/damage-associated molecular patterns (DAMPs) such as ATP, HMGB1 and damaged DNA, and specific pattern-recognition receptors (PRRs), occurs within a few days after stroke onset, during which innate immune cells, including microglia, macrophages, and neutrophils, play a major role. After the acute phase (Days 1–3 post-ischemia), adaptive immunity-associated immune cells such as distinct types of T cells and B cells, have been observed to infiltrate the brain by different means and last for weeks or months, indicating the involvement of these cells in functional recovery (Jayaraj et al., 2019; Iadecola et al., 2020). To date, the contribution of neuroinflammation in the primary injury caused by the initial ischemic event or secondary injury of the brain created by a series of biological and functional changes has long been investigated. The effects of these infiltrated immune cells in the chronic phase of functional restoration are poorly understood.

This review discusses the role of infiltrating peripheral immune cells in the functional recovery of ischemic stroke. Besides peripheral immune cells, the brain also harbors some immune cells, which are essential for brain development and function and regulate ischemic stroke (Colonna and Butovsky, 2017; Smolders et al., 2018; Badimon et al., 2020). Many previous studies have thoroughly reviewed the role of brain resident immune cells in ischemic stroke as well as immune cells in the regulation of the acute injury phase (Iadecola and Anrather, 2011; Hu et al., 2015; Jian et al., 2019; Iadecola et al., 2020). Here, we provide focused attention only on the role of peripheral innate and adaptive immune cells in the recovery of neurological function during the subacute (Days 4–8 post-ischemia) and chronic phases (exceeding 9 days post-ischemia) of ischemic stroke (Figure 1), and highlight outstanding questions for future studies.

FIGURE 1
www.frontiersin.org

Figure 1. Schematic viewing of time-dependent key injury and repair processes after ischemic stroke. In this review, we refer to Days 1–3 after stroke onset as the acute phase, Days 3–8 being subacute phase, and days exceeding 8 being chronic phase. We illustrate the conceptual changes in each phase. In the acute phase, ischemia in the brain leads to the injury of the brain and inflammatory responses. In the subacute phase, the resolution of inflammatory response and phagocytosis of dead neurons were observed and tissue repair processes, such as angiogenesis, are initiated. During the chronic phase, processes, such as neurogenesis, oligodendrogenesis, and astrocytosis are initiated to regulate neuronal regeneration and functional recovery.

Neuronal and non-neuronal mechanisms of functional recovery after ischemic stroke

Ischemic stroke-induced injury can trigger some repair processes, such as neurogenesis, axon sprouting, oligodendrogenesis, angiogenesis, and astrogliosis, the degree of which depends on the severity and topography of the injury. For many decades, findings from human and animal studies have continued to shed light on the molecular, vascular, glial, neuronal, and environmental events that regulate neurological recovery during the weeks after ischemic stroke (Carmichael, 2006; Cramer and Riley, 2008). In the following section, we briefly summarize the main aspects from the neuronal and non-neuronal perspectives (Table 1).

TABLE 1
www.frontiersin.org

Table 1. Mechanisms of peripheral immune system in functional recovery after ischemic stroke.

Tremendous efforts have been devoted to characterizing the cellular and molecular mechanisms of neuronal regeneration. Methods to promote neuron regeneration in the brain, such as by blocking inhibitory factors for myelination and promoting axon sprouting, have met with mixed success, albeit some challenges. For example, in many experiments, increased axon sprouting or neuronal survival has been observed after treatment (Barker et al., 2018; Joy et al., 2019; Hu et al., 2020); however, approaches to fully restore circuit function are lacking. In addition, the differences in reactions and effects in animal models and human patients make it difficult for clinical trials (Carmichael, 2006; Carmichael et al., 2017; Varadarajan et al., 2022). These discoveries cannot be ignored as they reveal possible neuronal regeneration mechanisms existing in stroke models weeks and months after acute damage and raise important strategies to intervene in neuronal regeneration and functional recovery, which include neurogenesis, axon sprouting and extension, synapse reformation and stimulation-based refinement of newly formed circuits (Small et al., 2013; Joy and Carmichael, 2021; Shi X. et al., 2021; Varadarajan et al., 2022). To achieve better functional connectivity, methods targeting multifaceted processes are needed.

Besides neuronal injury, ischemic stroke can also result in marked damage to the BBB and neurovascular unit dysfunction, and induce inflammatory responses in glial cells in human and animal models (Jiang et al., 2018; Jayaraj et al., 2019). These changes further lead to events including (1) angiogenesis, which is mediated by endothelial cells; (2) the astrogliosis of astrocytes; (3) oligodendrogenesis, which is regulated by oligodendrocyte progenitor cells (OPCs); and (4) changes in inflammatory phenotypes and phagocytic capacity of innate immune cells (Hatakeyama et al., 2020; Shibahara et al., 2020; Zhu et al., 2021). The capacity of neuronal regeneration and the ultimate recovery of sensorimotor and language deficits or neuropsychiatric sequelae depend on these processes in the long-term.

Angiogenesis is thought to contribute to functional recovery in two ways. First, new blood vessels that are formed after ischemia enhance neurogenesis by facilitating the migration of neural stem/progenitor cells (NSCs/NPCs) toward the infarct region by supplying nutrients, oxygen and soluble factors, promoting the proliferation and differentiation of NSCs/NPCs via the expression of extracellular signals and supplying oxygen and growth factors (Grade et al., 2013; Ruan et al., 2015; Lange et al., 2016; Kanazawa et al., 2019). Second, postischemic angiogenesis contributes to axonal outgrowth by vascular endothelial growth factors (VEGFs) and laminin/β1-integrin signaling (Jin et al., 2006; Lei et al., 2012; Hatakeyama et al., 2020). After ischemic injury, some activated astrocytes can transform into reactive astrocytes, which causes astrogliosis or forms glial scars. Although some studies have shown that reactive astrogliosis with compact glial scar formation may impede axonal regeneration and hinder functional recovery process (Zhang et al., 2010; Roy Choudhury et al., 2014), other studies have also demonstrated that reactive astrogliosis can be neuroprotective by generating and releasing factors or proteins such as glial-derived neurotrophic factor (GDNF), VEGF and heterodimeric glycoprotein, clusterin 1 (Choudhury and Ding, 2016; Sims and Yew, 2017). Stroke acutely induces mature oligodendrocyte damage, leading to loss of myelin. During the recovery phase of ischemic stroke, there is a significant increase in the generation of OPCs, and some of them become mature myelinating oligodendrocytes, which are essential for white matter repair and long-term functional recovery after ischemic stroke (Iwai et al., 2010; Zhang et al., 2013). The role of inflammatory phenotypes and phagocytic capacity of innate immune cells in functional recovery are complex and discussed in detail in the peripheral immune cell and functional recovery sections.

Effects and mechanisms of peripheral immune cells in functional recovery after ischemic stroke

Immediately following ischemic stroke, brain-resident immune cells such as microglia and astrocytes are activated to respond to ischemia injury. Subsequently, peripheral immune cells are activated and recruited to the brain to assist in the immune response (Chu et al., 2014; Jones et al., 2018). In the following days, peripheral immunodepression can occur, with a subsequent increased risk for systemic infections, especially in patients with large strokes (Gendron et al., 2002). The extent of these local and peripheral immune responses to stroke is variable, and this plays an important role in determining patient outcomes and overall functional recovery in the acute and chronic phases after stroke (Chamorro et al., 2012; Hu et al., 2015). In the following part, we summarized the roles of peripheral immune cells in two perspectives: (1) the roles of main immune cells on functional recovery (see section “Peripheral immune cells and functional recovery”); (2) roles of interactions and communications between peripheral immune cells and brain resident cells on functional recovery (see section “Roles of interactions and communications between peripheral immune cells and brain resident cells in functional recovery”).

Peripheral immune cells and functional recovery

Innate immune cells

Neutrophils

Neutrophils are traditionally recognized as the first line of innate immune defense against pathogens (Amulic et al., 2012). Similarly, neutrophils are the first responders to infiltrate the brain after ischemic injury as they were observed to attach the brain endothelial cells within a few minutes and peak at 1–3 days (Perez-de-Puig et al., 2015; Ma et al., 2021). After activation, neutrophils produce cytokines to recruit other immune cells, engulf microbes via receptor-mediated phagocytosis, and further release granular antimicrobial molecules as well as the formation of neutrophil extracellular traps (NETs) (Amulic et al., 2012). Consistent with their infiltration time, neutrophils mainly function in the acute injury events, such as regulation of BBB integrity and inflammation-mediated brain infarction (Jickling et al., 2015; Cai et al., 2020; Ma et al., 2021).

Recently, one study showed that neutrophils accumulate in the peri-infarct area during all stages of ischemic stroke, and depletion of neutrophils reduces the breakdown of BBB and enhances neovascularization at Day 14 (Kang et al., 2020). Mechanistically, NETs formation promotes subsequent activation of STING-dependent type I IFN production, which potentially induces vascular remodeling to enhance functional recovery (Kang et al., 2020). Notably, a unique immature neutrophil subset, that secretes growth factors to promote axon regeneration in the optic nerve and spinal cord has been identified in a recent report (Sas et al., 2020). Whether this type of neutrophils also enhance axon sprouting in ischemic stroke is unknown.

Similar to monocytes and macrophages (MMs), neutrophils can also be derived into proinflammatory N1 and anti-inflammatory N2 subtypes; the N1 type is generally considered neurotoxic and the N2 type is neuroprotective during the acute injury phase of ischemic stroke (Cuartero et al., 2013; Jickling et al., 2015; Wanrooy et al., 2021). Whether type N2 neutrophil-induced resolution of neuroinflammation facilitates functional recovery remains unknown. In addition, studies have shown that microglia mediate phagocytosis of neutrophils, which may help to restore the homeostasis of the brain and retain neuronal function and survivability after stroke (Neumann et al., 2008; Otxoa-de-Amezaga et al., 2019) (Figure 2). The role of different neutrophil subsets in other points of neuroplasticity remains unclear.

FIGURE 2
www.frontiersin.org

Figure 2. Mechanisms underlying MMs and neutrophils-mediated effects on functional recovery after ischemic stroke. MMs regulates functional recovery by modulating neurogenesis, angiogenesis and oligodendrogenesis. NETs formation of neutrophils induces vascular remodeling and angiogenesis to enhance functional recovery. MMs, Monocytes and macrophage; NSC, neural stem cell; NET, neutrophil extracellular traps; IFN, interferons.

Monocytes and macrophages

Monocytes and macrophages are mononuclear phagocytes and are derived from macrophage/dendritic cell progenitors in the bone marrow (BM). At least two subtypes of monocytes have been reported in mice: Ly6Chi classical inflammatory monocytes and Ly6Clow non-classical patrolling monocytes. Ly6Clow monocytes are derived from Ly6Chi monocytes in the blood or common monocyte progenitor (cMoP) in the BM (Ginhoux and Jung, 2014). During disease progression, they can exit to the circulatory system in a C-C chemokine receptor 2 (CCR2)-dependent manner and enter tissues to give rise to tissue macrophages referred to as monocyte-derived macrophages (MDMs), which express high levels of CD68 (Auffray et al., 2009; Ginhoux and Jung, 2014; Li and Barres, 2018; Han et al., 2020).

Monocyte and macrophage responses and functional recovery after ischemic stroke

(1) Neuroinflammation and functional recovery

Previous studies showed that the number of monocytes peaks at Day 3 after ischemic stroke, and they differentiate into MDMs (Wattananit et al., 2016; Fang et al., 2018). During ischemic stroke, dying/dead neurons release DAMPs, such as ATP, HMGB1, damaged DNA and peroxiredoxin family proteins, which can be recognized by pattern recognition receptors (PRRs), including Toll-like receptor (TLR)-2 and TLR-4, expressed by some innate immune cells, such as MMs, microglia and neutrophils (Shichita et al., 2012).

Many studies showed that activated MMs can polarize into distinct subtypes, including the well-known M1 and M2 subpopulations (Figure 3A). The M1 subtype secretes proinflammatory cytokines, such as tumor necrosis factor alpha (TNF-α), interleukin (IL)-1β, IL-12, and IL-6, and can be distinguished by cell surface markers CD16 and CD32. The M2 phenotype produces TGF-β, IL-4, IL-10, and IL-13, and expresses CD206 and Arg1. The activation of MM subpopulations and other innate immune cells leads to neuroinflammation (Hu et al., 2012; Wattananit et al., 2016; Fang et al., 2018), the role of which has been well characterized in the acute phase of ischemic brain injury (Jayaraj et al., 2019; Qiu et al., 2021). During the subsequent 2 weeks, MMs gradually shift from the proinflammatory M1 phenotype to the alternatively activated M2 phenotype, facilitating the resolution of inflammation (Wattananit et al., 2016; Fang et al., 2018). However, such definition may not fully illustrate all different activation scenarios. As many reports proposed that there are some other subtypes between M1 and M2, such as M2a, M2b, and M2c (Martinez and Gordon, 2014). With the development of single-cell sequencing technique, the different phenotypes of MMs subpopulations during different stages of ischemic stroke needs further investigation.

FIGURE 3
www.frontiersin.org

Figure 3. Responses of MMs after ischemic stroke. Cerebral ischemia leads to the release of many inflammatory mediators which contributes to the recruitment of peripheral immune cells into the infarct brain. (A) The dying/dead neurons release damage-associated molecular patterns (DAMPs) such as ATP, HMGB1, myelin, etc., which can be recognized by pattern recognition receptors (PRRs) such as TLR2 and TLR4 expressed on MMs. The activated macrophages can then polarize into pro-inflammatory M1 or anti-inflammatory M2 cells. (B) In addition, macrophages can also recognize phosphatidylserine (PS) expressed on apoptotic neurons or myelin debris released from injured neurons, which is mediated by some specific receptors including TREM2, lipoprotein receptor-related protein LRP and complement receptor CR3, leading to phagocytosis. These two events coordinately regulate the outcome of ischemic stroke.

Early studies showed that strategies to switch MMs from the proinflammatory phenotype to the anti-inflammatory phenotype promote long-term functional recovery (Brifault et al., 2015; Zheng et al., 2019; Hou et al., 2021; Liu et al., 2021). For example, delayed pituitary adenylate cyclase-activating polypeptide delivery after cerebral ischemia enhances functional recovery by inducing the polarization of MMs toward M2 phenotype (Brifault et al., 2015). Poststroke treatment with TGFβ-activated kinase 1 (TAK1)-specific inhibitor 5Z-7-oxozeaenol (OZ) causes a phenotypic shift in microglia/macrophages toward an inflammation-resolving state, which effectively promotes the integrity of both gray matter and white matter and long-term neurological recovery (Jickling et al., 2015). In addition, MMs can also express receptors, such as Mannose receptors and macrophage scavenger receptor-1 Msr1, to facilitate the clearance of DAMPs, and contributes to inflammation resolution and brain repair (Giraldi-Guimaraes et al., 2012; Shichita et al., 2017). Moreover, one study showed that modulation of monocytes by supplementation with ursolic acid prevents monocyte dysfunction in diabetic mice and protects mice against atherosclerosis and loss of renal function (Ullevig et al., 2014). Given that many metabolites are altered after ischemic stroke (Wang X. et al., 2020), whether modulation of metabolic of MMs can alter their cytokine profile and affect functional recovery deserve further investigation. For microglia, the polarization from the M1 to the M2 phenotype promotes functional recovery by facilitating neurovascular remodeling, neurogenesis, white matter integrity, and neuroplasticity (Hu et al., 2015; Lyu et al., 2021). Whether the phenotypic switch from M1 to M2 of MMs also promotes brain repair as microglia do still needs further investigation.

(2) Phagocytosis and functional recovery

Phagocytosis of dead/dying neurons or myelin debris is another important response of MMs to modulate brain repair (Figure 3B). When ischemic stroke occurs, several substances, including ATPs, sphingosine-1-phosphate, and chemokines, are released by injured neurons that act as “find me” signals, which attract neighboring phagocytes to migrate to the injury site. Phagocytes can sense and recognize specific “eat me” signals, such as phospholipid phosphatidylserine, calreticulin, or the complement components C1q and C3b, which are present on the dead or dying cells via specific receptors, including TREM2, lipoprotein receptor-related protein LRP and complement receptor CR3 to mediate phagocytosis (Jia et al., 2021; Chen et al., 2022). On one hand, the phagocytosis of dead neurons or myelin debris can help to prevent the release of cytotoxic intracellular contents, which act as DAMPs to promote inflammation and lead to secondary damage, and on the other hand, the phagocytosis of dead/dying neurons modulates tissue reconstruction and neuronal network reorganization to promote functional recovery (Jia et al., 2021; Lyu et al., 2021).

At present, compared with microglia, whose regulatory mechanisms and cellular pathways of phagocytosis, and their resulting effects in neural regeneration are well studied, the detailed mechanism of action of peripheral MMs is less understood. RNA-seq results showed that a large number of genes related to chemotaxis, the recognition of dead cells, engulfment, and the processing of phagosomes are upregulated in brain-infiltrating macrophages after ischemic stroke, and they promote the phagocytosis of dying neurons, which facilitates inflammation resolution, and finally the recovery of neurological functions (Zhang W. et al., 2019). Factors such as CD36, TREM2, Kv1.3, and STAT6/Arg1 contribute to the MM-mediated phagocytosis of dying neurons and enhance functional recovery (Woo et al., 2016; Cai et al., 2019; Gao et al., 2019; Hu et al., 2021). Moreover, the microvascular pericytes colocalize with macrophages within the infarct area and potentiate the clearance activity of recruited macrophages toward myelin debris, which subsequently stimulates oligodendrogenesis and remyelination after ischemia (Shibahara et al., 2020).

In conclusion, during ischemic stroke, MM-mediated inflammation and phagocytosis are dynamically altered. The inflammatory and phagocytic response of MMs can be different in the acute, subacute, and chronic phase by time, and in the ischemic core or the peri-infarct region by location (Chen et al., 2022). In addition, the M1 and M2 phenotype have different phagocytosis capacities, although they both express phagocytic receptors. The M2 phenotype is more efficient at clearing dead cells than the M1 phenotype (Kapellos et al., 2016). Currently, it remains unknown, how the inflammatory phenotype and phagocytic capacity of MMs are cross-regulated, and even less is known about the detailed molecular mechanisms and their effects on functional recovery after ischemic stroke. Therefore, future studies need to consider the inflammatory phenotype and the phagocytosis of MMs in the context of time and location to optimize treatment for improving functional recovery.

Diverse ways of monocytes and macrophages in regulating functional recovery after ischemic stroke

(1) Neurogenesis and angiogenesis

Accumulating evidence suggests that microglia can regulate functional outcomes after ischemic stroke via diverse mechanisms including neurogenesis, angiogenesis, oligodendrogenesis, and neuroplasticity (Ma et al., 2017; Jia et al., 2021; Lyu et al., 2021). Similarly, MMs also seem to regulate neurological function from these aspects besides some differences. Depletion of circulating monocytes by using CCR2 antibody MC-21 early after stroke enhances neurogenesis in the subventricular zone (SVZ) as well as migration of neuroblasts toward the damaged striatum (Laterza et al., 2017). Pro-reparative monocytes facilitate angiogenesis and improve behavioral performance after ischemic stroke (Pedragosa et al., 2020). Further transcriptome analysis of infiltrated MMs in a mouse model of permanent focal cerebral ischemia indicated that neurovascular remodeling associated genes, such as Wnt, epidermal growth factor receptor (EGFR), and Notch signaling-related genes involved in angiogenesis and neurogenesis, and cytokines, growth factors that contribute to angiogenesis and neuroplasticity, are overexpressed. Myeloid cell-specific deletion of PPARc reduced poststroke angiogenesis and neurogenesis, and exacerbated neurological deficits (Wang R. et al., 2020). These data suggest that MMs modulate functional recovery via neurogenesis and angiogenesis, although the detailed molecular mechanism remains unclear.

(2) Neuroplasticity

Neuroplasticity enables the restoration of neural networks and rewiring of functional connections after ischemic stroke (Alia et al., 2017). In recent years, increasing evidence demonstrated the involvement of microglia in the regulation of neuroplasticity (Hu et al., 2015; Ma et al., 2017; Lyu et al., 2021). For MMs, a close anatomical association between activated macrophages and sprouting dopaminergic axons was observed, and macrophages at the wound edges highly express neurotrophic factors that support axon sprouting (Batchelor et al., 2002). Oligodendrogenesis, mediated via OPC proliferation and differentiation, promotes remyelination, which influences the integrity of white matter and affects signal transmission efficiency and neuroplasticity after ischemic stroke (Miron et al., 2013). An in vivo study showed that depletion of M2 cells including M2 macrophages inhibits oligodendrocyte differentiation (Miron et al., 2013). Consistent with this finding, OPC differentiation can be stimulated by macrophage-conditioned medium with myelin debris in vitro (Shibahara et al., 2020). In addition, proinflammatory cytokines, such as IL-6 and IL-1β, play an important role in synaptogenesis and long-term potentiation during development (Katsuki et al., 1990; Faust and Schafer, 2021), although the role of pro-inflammatory or anti-inflammatory cytokines in the modulation of synaptic plasticity and thus potentially brain plasticity is far less clear. Illuminating cellular mechanisms of MMs in the functional recovery of ischemic stroke as well as the detailed molecular mechanisms may lead to novel therapeutic strategies.

Adaptive immune cells

T cells

T cells are key players in cellular adaptive immunity, which functions in a variety of neurological diseases (Prinz and Priller, 2017; Carrasco et al., 2022). In response to the upregulation of adhesion molecules on endothelial cells and the exposed CNS antigens from the injured brain, T cells can be activated and then invade the brain. Three different routes of T lymphocyte migration exist: (1) the BBB pathway, (2) the meninges and choroid plexus (ChP) infiltration routes, and (3) the ChP stroma pathway (Llovera et al., 2017; Benakis et al., 2018). According to the previous reports, the day of T-cells infiltration peak varied, with some studies showing an infiltration peak within 24 h, some around Day 3 to Day 7, and some in the chronic phase, which may result from different stroke models and testing methods (Gronberg et al., 2013; Stubbe et al., 2013; Chu et al., 2014).

The role of different T-cell subsets in ischemic stroke in the acute damage phase remains controversial (Zhang et al., 2021). Blocking CD8+ T-cell expansion and activation through the administration of IL-2 or IL-15 neutralizing antibody, or depletion of CD8+ T cells with anti-CD8α antibody could significantly reduce brain infarct volume and attenuate the associated behavioral deficits in two ischemia models that rely on the production of perforin (Mracsko et al., 2014; Lee et al., 2018; Zhou et al., 2019). The mode of CD4+ T-cell differentiation in response to brain injury ultimately determines stroke outcome. IFN-γ released from Th1 cells appears to either worsen outcomes (Lambertsen et al., 2004; Yilmaz et al., 2006) or have an effect on brain infarct volume (Shichita et al., 2009). Loss of IL-4 or neutralization of IL-4, the main cytokines released from Th2 cells, exert a neuroprotective effect (Korhonen et al., 2015; Xiong et al., 2015; Zhang et al., 2018). Interestingly, the infiltrating IL-17 producing cells in the brain are not CD4+ Th cells, but γδ T lymphocytes (Swardfager et al., 2013). The balance in the peripheral Treg/Th17 cells ratio is altered after stroke which in turn modifies stroke pathophysiology. For example, conditional knockout of ACC1 (acetyl coenzyme A carboxylase 1), a key enzyme involved in de novo fatty acid synthesis, profoundly alleviates ischemic brain injury by preserving the balance of Treg/Th17 cells (Wang et al., 2019), indicating the involvement of cell metabolism in stroke pathogenesis. Inconsistent with the long existence of T cells in the brain after ischemic stroke, the role of different T-cell subsets, especially Treg cells in the chronic phase of functional recovery is being exposed.

Treg cells are essential for maintaining immune homeostasis by suppressing conventional T cell activation and function (Zhu et al., 2010). Accumulating evidence indicates that Treg cells migrate into the brain in the chronic phase of ischemic stroke and last for several months, during which Treg cells exhibit multifaceted roles to promote functional recovery (Wang et al., 2015; Ito et al., 2019; Shi L. et al., 2021). First, Treg cells release AREG to suppress astrogliosis and increase brain recovery (Ito et al., 2019). Second, Treg cell-derived osteopontin can act through integrin receptors on microglia to enhance microglial reparative activity, consequently facilitating oligodendrocyte regeneration and white matter integrity (Shi L. et al., 2021). Third, NSC proliferation in the SVZ of normal and ischemic brain can also be enhanced by activated Treg cells via IL-10 (Wang et al., 2015) (Figure 4). The role of Treg cells on neuroplasticity especially axon sprouting and synaptic function, and other T cell subsets in the functional recovery remain to be established.

FIGURE 4
www.frontiersin.org

Figure 4. Mechanisms underlying Treg cell and B cell-mediated impacts on functional recovery after ischemic stroke. Treg cells promotes functional recovery after ischemic stroke by the following means: Treg cells release IL-10 to directly promote neural stem cell proliferation or restrict proinflammatory cytokine production; Treg cells release AREG to inhibit astrogliosis and facilitate neuronal recovery; Treg cell-derived osteopontin act through integrin receptors on microglia to enhance microglial reparative activity, as both anti-inflammatory cytokines and genes encoding proteins involved in brain repair are upregulated, consequently facilitating oligodendrocyte regeneration and white matter integrity. B cells release IL-10 to promote neurogenesis and dendritic arborization, which promote motor and cognitive function, and in addition, B cells also undergo isotype switching and produce IgM, IgG and IgA to promote cognitive function. TCR, T cell receptor; ILRs, interleukin receptors; AREG, amphiregulin; NSC, neural stem cell.

Similar to CD4+ T cells, CD8+ T cells also persist in the injured brain for weeks. One study showed that mice with higher ipsilesional CD8+ T cells at Day 30 exhibited worse functional recovery. The Depletion of CD8+ T cells beginning 10 days post-tMCAO improved motor recovery (Selvaraj et al., 2021). Notably, one recent report discovered a new CD8+ T regulatory-like cells (CD8+CD122+CD49dlo), which could reprogram to upregulate leukemia inhibitory factor (LIF) receptor, epidermal growth factor–like transforming growth factor (ETGF), and interleukin 10 (IL-10) to exert neuroprotection and promoted long-term neurological recovery (Cai et al., 2022). In contrast, traumatic brain injury activates CD8+ T cells, which causes long-term neurological impairment in mice (Daglas et al., 2019). The role of CD8+ T cells in neuroplasticity is worth investigation.

B cells

B cells were originally identified through studies searching for the cellular source of antibodies. As the key player in humoral immunity, B cells contribute to immunity through antigen presentation, antibody production and cytokine secretion (Jain and Yong, 2021). The role of B cells in the acute phase of ischemic stroke is inconclusive. Some studies found no effect on infarct and stroke outcome (Kleinschnitz et al., 2010; Schuhmann et al., 2017). However, others observed a beneficial role of B cells (Ren et al., 2011; Offner and Hurn, 2012).

Given that the adaptive immune response specific for CNS antigens develops later than the innate immune response, the role of B cells in the subacute and chronic phase of ischemic stroke attracts has attracted the attention of some researchers’. Ischemic injury induces significant bilateral B-cell diapedesis into remote brain regions to regulate motor and cognitive functions by supporting neuronal viability and dendritic arborization (Ortega et al., 2020). In a distal middle cerebral artery occlusion (dMCAO) model, B cells were found to infiltrate the infarct region and secrete IgA and IgG in the chronic phase after stroke, which may directly impact cognition after stroke (Doyle et al., 2015; Figure 4). Notably, multiple sclerosis studies have raised the notion that B cells contribute to CNS pathology independent of antibody production (Li et al., 2018). Consistent with this finding, B cells have been reported to produce several neurotrophins including brain-derived neurotrophic factor (BDNF) and nerve growth factor (NGF) (Edling et al., 2004; Fauchais et al., 2008). Whether B cells regulates other events in neurological recovery in an antibody-production-independent manner is a field worth future study.

Natural killer cells

Natural killer (NK) cells are a type of cytotoxic lymphocyte that play an important role in innate immunity (Abel et al., 2018; Chen et al., 2019). NK cells were reported to accumulate in the brain during the acute injury phase. Kinetic experiments showed that NK cells accumulated as early as 3 hours, peaking at Day 3 after tMCAO (Gan et al., 2014). In human ischemic brain, the infiltrations of NK cells peaked at Days 2–5 (Zhang et al., 2014). Consistent with their infiltration time, NK cells contribute to brain injury in various ways: they induce the necrosis of neural cells via IFN-γ (Chen et al., 2019); damage the BBB in response to interferon-inducible protein-10 (IP-10) (Zhang et al., 2014); mediate cytolytic killing of ischemic neurons via perforin (Gan et al., 2014); act in cooperation with monocytes and platelets to propagate thrombosis and activate the complement system (Eltzschig and Eckle, 2011). At present, the function of NK cells on neurofunctional recovery is poorly understood.

Stroke-induced systemic immunosuppression was first described in the 1970s and is characterized by severe lymphopenia in the peripheral blood, thymus, and spleen, which affects the mortality and functional recovery of patients with ischemic stroke (Offner et al., 2006; Klehmet et al., 2009; Wong, 2019). Currently, stroke-induced immunosuppression is considered both detrimental and beneficial to the human body. Stroke-induced immunosuppression is deleterious, as it increases the incidence of poststroke infections, especially pneumonia and urinary tract infection (Iadecola and Anrather, 2011; Chamorro et al., 2012). Several studies have provided a mechanistic basis for this phenomenon and demonstrated that T lymphocytes and iNKT cells play critical roles in regulating poststroke induced immunosuppression as well as subsequent infections (Prass et al., 2003; Wong et al., 2011; Roth et al., 2021). The spleen is reported to exacerbate brain injury and contributes to long-term neurodegenerations (Ajmo et al., 2008; Pennypacker and Offner, 2015). After brain ischemia, spleen atrophy and peripheral NK Cell cells were observed. NK cells display remarkably distinct temporal and transcriptome profiles in the brain and spleen. Catecholaminergic and hypothalamic-pituitary-adrenal (HPA) axis innervations suppress peripheral NK cells after ischemic stroke. Correspondingly, modulation of neurogenic pathways preserves NK cell function and improves host immune defense against poststroke infections (Liu et al., 2017).

Roles of interactions and communications between peripheral immune cells and brain resident cells in functional recovery

Accumulating evidence shows that the infiltrated peripheral immune cells interact with brain resident cells in complex ways, that may be either detrimental or supportive for brain injury and repair. After ischemic stroke, the bidirectional neuroimmune interactions and communications of infiltrated peripheral immune cells and brain resident cell allow these cell populations to influence each other in multiple ways, including releasing factors to affect each other and direct cell–cell interactions (Kamel and Iadecola, 2012; Alia et al., 2021; Muhammad et al., 2021).

Communications-mediated by cytokines or other factors and functional recovery

After brain injury, various DAMPs, such as ATP, HMGB1, damaged DNA and peroxiredoxin family proteins and brain-derived antigens, can be released after ischemic insult into the periphery, which activates the peripheral immune cells and leads to further infiltration into the brain owing to a compromised BBB (Javidi and Magnus, 2019; Stanzione et al., 2022). These infiltrated activated immune cells or autoreactive adaptive immune cells can then polarize or differentiate into different populations, such as M1/M2 subtypes and different Th subsets, which further interact with other brain resident cells to modulate brain repair. For example, brain infiltrating Treg cells can on one hand release AREG to suppress astrogliosis and increase brain recovery (Ito et al., 2019), and, on the other hand, produce osteopontin to activate integrin receptors on microglia and enhance microglial reparative activity to facilitate oligodendrocyte regeneration and white matter integrity (Shi L. et al., 2021). In addition, during autoimmune disease or tumor progression, the interaction between macrophage and T cells was observed and their interaction affect the progression of the disease (Han et al., 2012; Cess and Finley, 2020). On one hand, cytokines or chemokines produced by T cells can lead to recruitment and activation of macrophages, which further produce additional inflammatory mediators and become effector cells in pathogenesis (Yoon and Jun, 1999); On the other hand, macrophages can present antigen to T cells, which induce their activation and differentiation to affect disease progression (Underhill et al., 1999). The role of macrophage and T cell interaction in the functional recovery of ischemic stroke is still unclear.

After activation, both adaptive and innate immune cells secrete cytokines, which play multiple and vital roles in neurological disease progression (Kerschensteiner et al., 2010; Cui and Wan, 2019). Some studies have supplemented certain cytokines during ischemic stroke to study their direct effects (Table 1).

Interleukin-4 (IL-4) is an anti-inflammatory cytokine produced by a variety of immune cells, including Th2 cells, mast cells, eosinophils and basophils (Gadani et al., 2012), and can drive macrophages into M2 phenotype in the presence of IL-13 (Murray, 2017). Loss of IL-4 promotes the M1 phenotype in microglia/macrophages after ischemic stroke and exacerbates long-term sensorimotor dysfunction as well as cognitive deficits after ischemia, while infusion of IL-4 into the cerebroventricular after ischemic stroke improves neurological functions (Liu et al., 2016). In addition to promoting M2 phenotype polarization, intranasal delivery of IL-4 nanoparticles poststroke also improves white matter integrity by acting directly on OPCs to enhance oligodendrocyte differentiation mediated by the PPARγ axis, which reduces long-term sensorimotor and cognitive deficits (Zhang Q. et al., 2019).

Tumor necrosis factor alpha and IL-33 have also been found to confer a protective effect on regulation of white matter integrity. TNFα directly protected OPCs and oligodendrocytes against oxygen and glucose deprivation (OGD)-induced cell death, but did not affluence on OPC differentiation, which is mediated by the EGFR and the downstream transcription factor STAT3 on oligodendrocyte lineage cells (Dai et al., 2020). IL-33 also protected oligodendrocytes and OPCs against ischemic injury but in a microglia/macrophage-dependent manner by promoting a beneficial response via the ST2-ATAT6 axis (Xie et al., 2021).

In contrast to IL-4, IL-6 is a proinflammatory cytokine secreted by some innate immune cells. Mice treated with recombinant IL-6 exhibited significantly increased proliferation and neural differentiation of NPCs in the ipsilateral SVZ, as well as functional recovery. However, IL-6 neutralizing antibody confer the opposite effects (Meng et al., 2015). Injection of IL-6 in pregnant mice or developing embryos increases glutamatergic synapse density and overall hyperconnectivity in the offspring (Mirabella et al., 2021); thus future studies should clarify the role of IL-6 in poststroke synapse plasticity.

Leukemia inhibitory factor is a multi-functional cytokine belongs to the IL-6 cytokine family. LIF modulates post-stroke responses and reduces infarct volume (Davis et al., 2017; Davis and Pennypacker, 2018). In addition, LIF also preserves white matter injury and improves functional outcomes when administered to rats subjected to pMCAO. Mechanistically, LIF reduces superoxide dismutase activity through increasing peroxiredoxin 4 (Prdx4) transcripts via the Akt signaling (Rowe et al., 2014). Likewise, IL-17A, another proinflammatory cytokine, also enhances the survival and neuronal differentiation of NPCs and subsequent synaptogenesis, which modestly ameliorates functional deficits after stroke (Lin et al., 2016). The role of other cytokines and chemokines in chronic functional recovery still needs further investigation.

Besides the influence of cytokines-released from peripheral innate and adaptive immune cells on brain resident cells, brain resident cells can also regulate peripheral immune cell function through neuroinflammation. After ischemia-induced cell death, activation of microglia and astrocytes were observed and neuroinflammation is initiated (Cekanaviciute and Buckwalter, 2016; Xu et al., 2020). The released cytokines and chemokines can further mediate peripheral immune cell infiltration and modulate their differentiation, which further affects functional recovery (da Fonseca et al., 2014; Dudvarski Stankovic et al., 2016).

Direct cell–cell interactions and functional recovery

Peripheral immune cells and brain-resident cells can directly interact with each other and affect neurological function recovery. For example, infiltrating peripheral immune cells are able to interact with brain resident cells, and resolve inflammation and promote functional recovery via phagocytosis. In vitro studies showed that in organotypic brain slices, externally invading polymorphonuclear neutrophils massively enhanced ischemic neurotoxicity, and microglia exerted protection through the rapid engulfment of apoptotic and motile neutrophils within brain slices. Consistently, in an in vivo ischemic stroke model, neutrophils reach the perivascular spaces of brain vessels, and reactive microglia can interact and engulf neutrophils at the periphery of the ischemic lesion to help restore the homeostasis of the brain (Neumann et al., 2008; Otxoa-de-Amezaga et al., 2019). Moreover, pericytes can colocalize with macrophages within the infarct area and potentiate the clearance of debris by recruited macrophages, which subsequently stimulates remyelination after ischemic stroke (Shibahara et al., 2020).

These important and intricate communications and interactions indicate the complexity of therapeutic strategies for clinical application. For example, in the acute phase, some immune cells can produce cytokines and growth factors, which serve as important resources for neuronal sprouting, neurogenesis, angiogenesis, and matrix reorganization (Alia et al., 2021; Varadarajan et al., 2022). If the production of these cytokines or growth factors is blocked, acute brain injury may be reduced, but brain repair may be hindered in the long term hinder. Therefore, attempts to treat stroke patients by modifying these interactions or communications must be made with caution. Future studies should test the proper concentration of the inhibitors or neutralization antibodies, the time to administer these blockers, and specific type of cytokines or growth factors in order to drive the development of immunotherapies of ischemic stroke.

Discussion

In summary, this review provides a systematic summary of the important role of the innate and adaptive immune systems in regulating brain repair after ischemic stroke and raises some currently unresolved questions. Monocytes and macrophages actively participate in neurogenesis, angiogenesis, and oligodendrogenesis after the acute phase of cerebral ischemia, during which their polarization and phagocytotic function are engaged. Neutrophils can impair revascularization and vascular remodeling by releasing extracellular traps. In addition, evidence for the critical role of Treg cells in facilitating functional recovery has accumulated. B cells may regulate neurological function in an antibody-dependent manner. More importantly, these cells can interact and communicate with each other and the brain resident cells in a very complex way to influence ischemic injury severity and functional recovery. Thus, future clinical trials must consider these stage-specific effects and the complex neuroimmune interactions.

From the reviews above, we could easily realize that there is still a long way to go to understand the regulation of immune cells in neurological recovery in depth, as so many questions remain unknown. For example: (1) What are the effects of the innate and adaptive immune cells on neuroplasticity after ischemic stroke, especially axon sprouting and synaptic plasticity? (2) What are the impacts of the adaptive immune cells on neuropsychiatric consequences of stroke? (3) Is the response of the infiltrating immune cells distinct in different regions of the brain after ischemic stroke? The development of single-cell sequencing technologies may help resolve this question. (4) How the immune cells, especially macrophages, balance their survival, inflammation and phagocytotic function during ischemic stroke? Currently, the progress of metabolomics and chromatin-related technologies such as ATAC-seq, chromatin conformation capture 3C, Hi-C may bring some new prospective. (5) In the microscale or molecular level, how the immune cells interact with neurons or other brain-resident cells, to transmit signals and affect functional prognosis? With the improvement of the resolution of microscopy, to see the interaction between cells at the molecular level may not be impossible. Resolving these questions would move forward the immunity-based translational research focusing on recovery-specific therapy.

Author contributions

ZZ was involved in the writing, reading literature, design of the figures. ML and XZ contributed to the literature search and editing of the manuscript. YC was involved in the overall supervision of the review and editing of the manuscript. All authors approved the submitted version.

Funding

This work was supported by the National Natural Science Foundation of China (31900634) to YC, National Natural Science Foundation of China (82101380) and Natural Science Foundation of Shandong Province (ZR202102280316) to ZZ.

Acknowledgments

We are grateful for support from the Institute of Neuroregeneration and Neurorehabilitation of Qingdao University.

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

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.

References

Abel, A. M., Yang, C., Thakar, M. S., and Malarkannan, S. (2018). Natural killer cells: Development, maturation, and clinical utilization. Front. Immunol. 9:1869. doi: 10.3389/fimmu.2018.01869

PubMed Abstract | CrossRef Full Text | Google Scholar

Ajmo, C. T. Jr., Vernon, D. O., Collier, L., Hall, A. A., Garbuzova-Davis, S., Willing, A., et al. (2008). The spleen contributes to stroke-induced neurodegeneration. J. Neurosci. Res. 86, 2227–2234. doi: 10.1002/jnr.21661

PubMed Abstract | CrossRef Full Text | Google Scholar

Alia, C., Cangi, D., Massa, V., Salluzzo, M., Vignozzi, L., Caleo, M., et al. (2021). Cell-to-cell interactions mediating functional recovery after stroke. Cells 10:3050. doi: 10.3390/cells10113050

PubMed Abstract | CrossRef Full Text | Google Scholar

Alia, C., Spalletti, C., Lai, S., Panarese, A., Lamola, G., Bertolucci, F., et al. (2017). Neuroplastic changes following brain ischemia and their contribution to stroke recovery: Novel approaches in neurorehabilitation. Front. Cell. Neurosci. 11:76. doi: 10.3389/fncel.2017.00076

PubMed Abstract | CrossRef Full Text | Google Scholar

Amulic, B., Cazalet, C., Hayes, G. L., Metzler, K. D., and Zychlinsky, A. (2012). Neutrophil function: From mechanisms to disease. Annu. Rev. Immunol. 30, 459–489. doi: 10.1146/annurev-immunol-020711-074942

PubMed Abstract | CrossRef Full Text | Google Scholar

Auffray, C., Sieweke, M. H., and Geissmann, F. (2009). Blood monocytes: Development, heterogeneity, and relationship with dendritic cells. Annu. Rev. Immunol. 27, 669–692. doi: 10.1146/annurev.immunol.021908.132557

PubMed Abstract | CrossRef Full Text | Google Scholar

Badimon, A., Strasburger, H. J., Ayata, P., Chen, X., Nair, A., Ikegami, A., et al. (2020). Negative feedback control of neuronal activity by microglia. Nature 586, 417–423. doi: 10.1038/s41586-020-2777-8

PubMed Abstract | CrossRef Full Text | Google Scholar

Barker, R. A., Gotz, M., and Parmar, M. (2018). New approaches for brain repair-from rescue to reprogramming. Nature 557, 329–334. doi: 10.1038/s41586-018-0087-1

PubMed Abstract | CrossRef Full Text | Google Scholar

Batchelor, P. E., Porritt, M. J., Martinello, P., Parish, C. L., Liberatore, G. T., Donnan, G. A., et al. (2002). Macrophages and microglia produce local trophic gradients that stimulate xonal sprouting toward but not beyond the wound edge. Mol. Cell. Neurosci. 21, 436–453. doi: 10.1006/mcne.2002.1185

PubMed Abstract | CrossRef Full Text | Google Scholar

Benakis, C., Llovera, G., and Liesz, A. (2018). The meningeal and choroidal infiltration routes for leukocytes in stroke. Ther. Adv. Neurol. Disord. 11:1756286418783708. doi: 10.1177/1756286418783708

PubMed Abstract | CrossRef Full Text | Google Scholar

Brifault, C., Gras, M., Liot, D., May, V., Vaudry, D., and Wurtz, O. (2015). Delayed pituitary adenylate cyclase-activating polypeptide delivery after brain stroke improves functional recovery by inducing m2 microglia/macrophage polarization. Stroke 46, 520–528. doi: 10.1161/STROKEAHA.114.006864

PubMed Abstract | CrossRef Full Text | Google Scholar

Cai, W., Dai, X., Chen, J., Zhao, J., Xu, M., Zhang, L., et al. (2019). STAT6/Arg1 promotes microglia/macrophage efferocytosis and inflammation resolution in stroke mice. JCI Insight 4:e131355. doi: 10.1172/jci.insight.131355

PubMed Abstract | CrossRef Full Text | Google Scholar

Cai, W., Liu, S., Hu, M., Huang, F., Zhu, Q., Qiu, W., et al. (2020). Functional dynamics of neutrophils after ischemic stroke. Transl. Stroke Res. 11, 108–121. doi: 10.1007/s12975-019-00694-y

PubMed Abstract | CrossRef Full Text | Google Scholar

Cai, W., Shi, L., Zhao, J., Xu, F., Dufort, C., Ye, Q., et al. (2022). Neuroprotection against ischemic stroke requires a specific class of early responder T cells in mice. J. Clin. Invest. 132:e157678. doi: 10.1172/JCI157678

PubMed Abstract | CrossRef Full Text | Google Scholar

Carmichael, S. T. (2006). Cellular and molecular mechanisms of neural repair after stroke: Making waves. Ann. Neurol. 59, 735–742. doi: 10.1002/ana.20845

PubMed Abstract | CrossRef Full Text | Google Scholar

Carmichael, S. T., Kathirvelu, B., Schweppe, C. A., and Nie, E. H. (2017). Molecular, cellular and functional events in axonal sprouting after stroke. Exp. Neurol. 287, 384–394. doi: 10.1016/j.expneurol.2016.02.007

PubMed Abstract | CrossRef Full Text | Google Scholar

Carrasco, E., Gomez de Las Heras, M. M., Gabande-Rodriguez, E., Desdin-Mico, G., Aranda, J. F., and Mittelbrunn, M. (2022). The role of T cells in age-related diseases. Nat. Rev. Immunol. 22, 97–111. doi: 10.1038/s41577-021-00557-4

PubMed Abstract | CrossRef Full Text | Google Scholar

Cekanaviciute, E., and Buckwalter, M. S. (2016). Astrocytes: Integrative regulators of neuroinflammation in stroke and other neurological diseases. Neurotherapeutics 13, 685–701. doi: 10.1007/s13311-016-0477-8

PubMed Abstract | CrossRef Full Text | Google Scholar

Cess, C. G., and Finley, S. D. (2020). Multi-scale modeling of macrophage-T cell interactions within the tumor microenvironment. PLoS Comput. Biol. 16:e1008519. doi: 10.1371/journal.pcbi.1008519

PubMed Abstract | CrossRef Full Text | Google Scholar

Chamorro, A., Meisel, A., Planas, A. M., Urra, X., van de Beek, D., and Veltkamp, R. (2012). The immunology of acute stroke. Nat. Rev. Neurol. 8, 401–410. doi: 10.1038/nrneurol.2012.98

PubMed Abstract | CrossRef Full Text | Google Scholar

Chen, C., Ai, Q. D., Chu, S. F., Zhang, Z., and Chen, N. H. (2019). NK cells in cerebral ischemia. Biomed. Pharmacother. 109, 547–554. doi: 10.1016/j.biopha.2018.10.103

PubMed Abstract | CrossRef Full Text | Google Scholar

Chen, W., Zhang, Y., Zhai, X., Xie, L., Guo, Y., Chen, C., et al. (2022). Microglial phagocytosis and regulatory mechanisms after stroke. J. Cereb. Blood Flow Metab. 42, 1579–1596. doi: 10.1177/0271678X221098841

PubMed Abstract | CrossRef Full Text | Google Scholar

Choudhury, G. R., and Ding, S. (2016). Reactive astrocytes and therapeutic potential in focal ischemic stroke. Neurobiol. Dis. 85, 234–244. doi: 10.1016/j.nbd.2015.05.003

PubMed Abstract | CrossRef Full Text | Google Scholar

Chu, H. X., Kim, H. A., Lee, S., Moore, J. P., Chan, C. T., Vinh, A., et al. (2014). Immune cell infiltration in malignant middle cerebral artery infarction: Comparison with transient cerebral ischemia. J. Cereb. Blood Flow Metab. 34, 450–459. doi: 10.1038/jcbfm.2013.217

PubMed Abstract | CrossRef Full Text | Google Scholar

Colonna, M., and Butovsky, O. (2017). Microglia function in the central nervous system during health and neurodegeneration. Annu. Rev. Immunol. 35, 441–468. doi: 10.1146/annurev-immunol-051116-052358

PubMed Abstract | CrossRef Full Text | Google Scholar

Cramer, S. C., and Riley, J. D. (2008). Neuroplasticity and brain repair after stroke. Curr. Opin. Neurol. 21, 76–82. doi: 10.1097/WCO.0b013e3282f36cb6

PubMed Abstract | CrossRef Full Text | Google Scholar

Cuartero, M. I., Ballesteros, I., Moraga, A., Nombela, F., Vivancos, J., Hamilton, J. A., et al. (2013). N2 neutrophils, novel players in brain inflammation after stroke: Modulation by the PPARgamma agonist rosiglitazone. Stroke 44, 3498–3508. doi: 10.1161/STROKEAHA.113.002470

PubMed Abstract | CrossRef Full Text | Google Scholar

Cui, Y., and Wan, Q. N. K. T. (2019). Cells in neurological diseases. Front. Cell. Neurosci. 13:245. doi: 10.3389/fncel.2019.00245

PubMed Abstract | CrossRef Full Text | Google Scholar

da Fonseca, A. C., Matias, D., Garcia, C., Amaral, R., Geraldo, L. H., Freitas, C., et al. (2014). The impact of microglial activation on blood-brain barrier in brain diseases. Front. Cell. Neurosci. 8:362. doi: 10.3389/fncel.2014.00362

PubMed Abstract | CrossRef Full Text | Google Scholar

Daglas, M., Draxler, D. F., Ho, H., McCutcheon, F., Galle, A., Au, A. E., et al. (2019). Activated CD8(+) T cells cause long-term neurological impairment after traumatic brain injury in mice. Cell Rep. 29:e1176. doi: 10.1016/j.celrep.2019.09.046

PubMed Abstract | CrossRef Full Text | Google Scholar

Dai, X., Chen, J., Xu, F., Zhao, J., Cai, W., Sun, Z., et al. (2020). TGFalpha preserves oligodendrocyte lineage cells and improves white matter integrity after cerebral ischemia. J. Cereb. Blood Flow Metab. 40, 639–655. doi: 10.1177/0271678X19830791

PubMed Abstract | CrossRef Full Text | Google Scholar

Davis, S. M., and Pennypacker, K. R. (2018). The role of the leukemia inhibitory factor receptor in neuroprotective signaling. Pharmacol. Ther. 183, 50–57. doi: 10.1016/j.pharmthera.2017.08.008

PubMed Abstract | CrossRef Full Text | Google Scholar

Davis, S. M., Collier, L. A., Leonardo, C. C., Seifert, H. A., Ajmo, C. T. Jr., and Pennypacker, K. R. (2017). Leukemia inhibitory factor protects neurons from ischemic damage via upregulation of superoxide dismutase 3. Mol. Neurobiol. 54, 608–622. doi: 10.1007/s12035-015-9587-2

PubMed Abstract | CrossRef Full Text | Google Scholar

Doyle, K. P., Quach, L. N., Sole, M., Axtell, R. C., Nguyen, T. V., Soler-Llavina, G. J., et al. (2015). B-lymphocyte-mediated delayed cognitive impairment following stroke. J. Neurosci. 35, 2133–2145. doi: 10.1523/JNEUROSCI.4098-14.2015

PubMed Abstract | CrossRef Full Text | Google Scholar

Dudvarski Stankovic, N., Teodorczyk, M., Ploen, R., Zipp, F., and Schmidt, M. H. H. (2016). Microglia-blood vessel interactions: A double-edged sword in brain pathologies. Acta Neuropathol. 131, 347–363. doi: 10.1007/s00401-015-1524-y

PubMed Abstract | CrossRef Full Text | Google Scholar

Edling, A. E., Nanavati, T., Johnson, J. M., and Tuohy, V. K. (2004). Human and murine lymphocyte neurotrophin expression is confined to B cells. J. Neurosci. Res. 77, 709–717. doi: 10.1002/jnr.20176

PubMed Abstract | CrossRef Full Text | Google Scholar

Eltzschig, H. K., and Eckle, T. (2011). Ischemia and reperfusion–from mechanism to translation. Nat. Med. 17, 1391–1401. doi: 10.1038/nm.2507

PubMed Abstract | CrossRef Full Text | Google Scholar

Fang, W., Zhai, X., Han, D., Xiong, X., Wang, T., Zeng, X., et al. (2018). CCR2-dependent monocytes/macrophages exacerbate acute brain injury but promote functional recovery after ischemic stroke in mice. Theranostics 8, 3530–3543. doi: 10.7150/thno.24475

PubMed Abstract | CrossRef Full Text | Google Scholar

Fauchais, A. L., Lalloue, F., Lise, M. C., Boumediene, A., Preud’homme, J. L., Vidal, E., et al. (2008). Role of endogenous brain-derived neurotrophic factor and sortilin in B cell survival. J. Immunol. 181, 3027–3038. doi: 10.4049/jimmunol.181.5.3027

PubMed Abstract | CrossRef Full Text | Google Scholar

Faust, T. E., and Schafer, D. P. (2021). IL-6 boosts synaptogenesis STAT! Immunity 54, 2444–2446. doi: 10.1016/j.immuni.2021.10.010

PubMed Abstract | CrossRef Full Text | Google Scholar

Feigin, V. L., Lawes, C. M., Bennett, D. A., Barker-Collo, S. L., and Parag, V. (2009). Worldwide stroke incidence and early case fatality reported in 56 population-based studies: A systematic review. Lancet Neurol. 8, 355–369. doi: 10.1016/S1474-4422(09)70025-0

CrossRef Full Text | Google Scholar

Font, M. A., Arboix, A., and Krupinski, J. (2010). Angiogenesis, neurogenesis and neuroplasticity in ischemic stroke. Curr. Cardiol. Rev. 6, 238–244. doi: 10.2174/157340310791658802

PubMed Abstract | CrossRef Full Text | Google Scholar

Gadani, S. P., Cronk, J. C., Norris, G. T., and Kipnis, J. (2012). IL-4 in the brain: A cytokine to remember. J. Immunol. 189, 4213–4219. doi: 10.4049/jimmunol.1202246

PubMed Abstract | CrossRef Full Text | Google Scholar

Gan, Y., Liu, Q., Wu, W., Yin, J. X., Bai, X. F., Shen, R., et al. (2014). Ischemic neurons recruit natural killer cells that accelerate brain infarction. Proc. Natl. Acad. Sci. U.S.A. 111, 2704–2709. doi: 10.1073/pnas.1315943111

PubMed Abstract | CrossRef Full Text | Google Scholar

Gao, T., Raza, S. A., Ramesha, S., Nwabueze, N. V., Tomkins, A. J., Cheng, L., et al. (2019). Temporal profiling of Kv1.3 channel expression in brain mononuclear phagocytes following ischemic stroke. J. Neuroinflammation 16:116. doi: 10.1186/s12974-019-1510-8

PubMed Abstract | CrossRef Full Text | Google Scholar

Gendron, A., Teitelbaum, J., Cossette, C., Nuara, S., Dumont, M., Geadah, D., et al. (2002). Temporal effects of left versus right middle cerebral artery occlusion on spleen lymphocyte subsets and mitogenic response in Wistar rats. Brain Res. 955, 85–97. doi: 10.1016/s0006-8993(02)03368-1

CrossRef Full Text | Google Scholar

Ginhoux, F., and Jung, S. (2014). Monocytes and macrophages: Developmental pathways and tissue homeostasis. Nat. Rev. Immunol. 14, 392–404. doi: 10.1038/nri3671

PubMed Abstract | CrossRef Full Text | Google Scholar

Giraldi-Guimaraes, A., de Freitas, H. T., Coelho Bde, P., Macedo-Ramos, H., Mendez-Otero, R., Cavalcante, L. A., et al. (2012). Bone marrow mononuclear cells and mannose receptor expression in focal cortical ischemia. Brain Res. 1452, 173–184. doi: 10.1016/j.brainres.2012.03.002

PubMed Abstract | CrossRef Full Text | Google Scholar

Grade, S., Weng, Y. C., Snapyan, M., Kriz, J., Malva, J. O., and Saghatelyan, A. (2013). Brain-derived neurotrophic factor promotes vasculature-associated migration of neuronal precursors toward the ischemic striatum. PLoS One 8:e55039. doi: 10.1371/journal.pone.0055039

PubMed Abstract | CrossRef Full Text | Google Scholar

Gronberg, N. V., Johansen, F. F., Kristiansen, U., and Hasseldam, H. (2013). Leukocyte infiltration in experimental stroke. J. Neuroinflammation 10:115. doi: 10.1186/1742-2094-10-115

PubMed Abstract | CrossRef Full Text | Google Scholar

Han, D., Liu, H., and Gao, Y. (2020). The role of peripheral monocytes and macrophages in ischemic stroke. Neurol. Sci. 41, 3589–3607. doi: 10.1007/s10072-020-04777-9

PubMed Abstract | CrossRef Full Text | Google Scholar

Han, Y. L., Li, Y. L., Jia, L. X., Cheng, J. Z., Qi, Y. F., Zhang, H. J., et al. (2012). Reciprocal interaction between macrophages and T cells stimulates IFN-gamma and MCP-1 production in Ang II-induced cardiac inflammation and fibrosis. PLoS One 7:e35506. doi: 10.1371/journal.pone.0035506

PubMed Abstract | CrossRef Full Text | Google Scholar

Hatakeyama, M., Ninomiya, I., and Kanazawa, M. (2020). Angiogenesis and neuronal remodeling after ischemic stroke. Neural. Regen. Res. 15, 16–19. doi: 10.4103/1673-5374.264442

PubMed Abstract | CrossRef Full Text | Google Scholar

Hou, Y., Yang, D., Wang, X., Wang, H., Zhang, H., Wang, P., et al. (2021). Pseudoginsenoside-F11 promotes functional recovery after transient cerebral ischemia by regulating the microglia/macrophage polarization in rats. Int. Immunopharmacol. 99:107896. doi: 10.1016/j.intimp.2021.107896

PubMed Abstract | CrossRef Full Text | Google Scholar

Hu, M., Lin, Y., Men, X., Wang, S., Sun, X., Zhu, Q., et al. (2021). High-salt diet downregulates TREM2 expression and blunts efferocytosis of macrophages after acute ischemic stroke. J. Neuroinflammation 18:90. doi: 10.1186/s12974-021-02144-9

PubMed Abstract | CrossRef Full Text | Google Scholar

Hu, S., Zheng, J., Du, Z., and Wu, G. (2020). Knock down of lncRNA H19 promotes axon sprouting and functional recovery after cerebral ischemic stroke. Brain Res. 1732:146681. doi: 10.1016/j.brainres.2020.146681

PubMed Abstract | CrossRef Full Text | Google Scholar

Hu, X., Leak, R. K., Shi, Y., Suenaga, J., Gao, Y., Zheng, P., et al. (2015). Microglial and macrophage polarization-new prospects for brain repair. Nat. Rev. Neurol. 11, 56–64. doi: 10.1038/nrneurol.2014.207

PubMed Abstract | CrossRef Full Text | Google Scholar

Hu, X., Li, P., Guo, Y., Wang, H., Leak, R. K., Chen, S., et al. (2012). Microglia/macrophage polarization dynamics reveal novel mechanism of injury expansion after focal cerebral ischemia. Stroke 43, 3063–3070. doi: 10.1161/STROKEAHA.112.659656

PubMed Abstract | CrossRef Full Text | Google Scholar

Iadecola, C., and Anrather, J. (2011). The immunology of stroke: From mechanisms to translation. Nat. Med. 17, 796–808. doi: 10.1038/nm.2399

PubMed Abstract | CrossRef Full Text | Google Scholar

Iadecola, C., Buckwalter, M. S., and Anrather, J. (2020). Immune responses to stroke: Mechanisms, modulation, and therapeutic potential. J. Clin. Invest. 130, 2777–2788. doi: 10.1172/JCI135530

PubMed Abstract | CrossRef Full Text | Google Scholar

Ito, M., Komai, K., Mise-Omata, S., Iizuka-Koga, M., Noguchi, Y., Kondo, T., et al. (2019). Brain regulatory T cells suppress astrogliosis and potentiate neurological recovery. Nature 565, 246–250. doi: 10.1038/s41586-018-0824-5

PubMed Abstract | CrossRef Full Text | Google Scholar

Iwai, M., Stetler, R. A., Xing, J., Hu, X., Gao, Y., Zhang, W., et al. (2010). Enhanced oligodendrogenesis and recovery of neurological function by erythropoietin after neonatal hypoxic/ischemic brain injury. Stroke 41, 1032–1037. doi: 10.1161/STROKEAHA.109.570325

PubMed Abstract | CrossRef Full Text | Google Scholar

Jain, R. W., and Yong, V. W. (2021). B cells in central nervous system disease: Diversity, locations and pathophysiology. Nat. Rev. Immunol. 22, 513–524. doi: 10.1038/s41577-021-00652-6

PubMed Abstract | CrossRef Full Text | Google Scholar

Javidi, E., and Magnus, T. (2019). Autoimmunity after ischemic stroke and brain injury. Front. Immunol. 10:686. doi: 10.3389/fimmu.2019.00686

PubMed Abstract | CrossRef Full Text | Google Scholar

Jayaraj, R. L., Azimullah, S., Beiram, R., Jalal, F. Y., and Rosenberg, G. A. (2019). Neuroinflammation: Friend and foe for ischemic stroke. J. Neuroinflammation 16:142. doi: 10.1186/s12974-019-1516-2

PubMed Abstract | CrossRef Full Text | Google Scholar

Jia, J., Yang, L., Chen, Y., Zheng, L., Chen, Y., Xu, Y., et al. (2021). The role of microglial hagocytosis in ischemic stroke. Front. Immunol. 12:790201. doi: 10.3389/fimmu.2021.790201

PubMed Abstract | CrossRef Full Text | Google Scholar

Jian, Z., Liu, R., Zhu, X., Smerin, D., Zhong, Y., Gu, L., et al. (2019). The involvement and therapy target of immune cells after ischemic stroke. Front. Immunol. 10:2167. doi: 10.3389/fimmu.2019.02167

PubMed Abstract | CrossRef Full Text | Google Scholar

Jiang, X., Andjelkovic, A. V., Zhu, L., Yang, T., Bennett, M. V. L., Chen, J., et al. (2018). Blood-brain barrier dysfunction and recovery after ischemic stroke. Prog. Neurobiol. 16, 144–171. doi: 10.1016/j.pneurobio.2017.10.001

PubMed Abstract | CrossRef Full Text | Google Scholar

Jickling, G. C., Liu, D., Ander, B. P., Stamova, B., Zhan, X., and Sharp, F. R. (2015). Targeting neutrophils in ischemic stroke: Translational insights from experimental studies. J. Cereb. Blood Flow Metab. 35, 888–901. doi: 10.1038/jcbfm.2015.45

PubMed Abstract | CrossRef Full Text | Google Scholar

Jin, K., Mao, X. O., and Greenberg, D. A. (2006). Vascular endothelial growth factor stimulates neurite outgrowth from cerebral cortical neurons via rho kinase signaling. J. Neurobiol. 66, 236–242. doi: 10.1002/neu.20215

PubMed Abstract | CrossRef Full Text | Google Scholar

Jones, K. A., Maltby, S., Plank, M. W., Kluge, M., Nilsson, M., Foster, P. S., et al. (2018). Peripheral immune cells infiltrate into sites of secondary neurodegeneration after ischemic stroke. Brain Behav. Immun. 67, 299–307. doi: 10.1016/j.bbi.2017.09.006

PubMed Abstract | CrossRef Full Text | Google Scholar

Joy, M. T., and Carmichael, S. T. (2021). Encouraging an excitable brain state: Mechanisms of brain repair in stroke. Nat. Rev. Neurosci. 22, 38–53. doi: 10.1038/s41583-020-00396-7

PubMed Abstract | CrossRef Full Text | Google Scholar

Joy, M. T., Ben Assayag, E., Shabashov-Stone, D., Liraz-Zaltsman, S., Mazzitelli, J., Arenas, M., et al. (2019). CCR5 is a therapeutic target for recovery after stroke and traumatic brain injury. Cell 176:e1113. doi: 10.1016/j.cell.2019.01.044

PubMed Abstract | CrossRef Full Text | Google Scholar

Kamel, H., and Iadecola, C. (2012). Brain-immune interactions and ischemic stroke: Clinical implications. Arch. Neurol. 69, 576–581. doi: 10.1001/archneurol.2011.3590

PubMed Abstract | CrossRef Full Text | Google Scholar

Kanazawa, M., Takahashi, T., Ishikawa, M., Onodera, O., Shimohata, T., and Del Zoppo, G. J. (2019). Angiogenesis in the ischemic core: A potential treatment target? J. Cereb. Blood Flow Metab. 39, 753–769. doi: 10.1177/0271678X19834158

PubMed Abstract | CrossRef Full Text | Google Scholar

Kang, L., Yu, H., Yang, X., Zhu, Y., Bai, X., Wang, R., et al. (2020). Neutrophil extracellular traps released by neutrophils impair revascularization and vascular remodeling after stroke. Nat. Commun. 11:2488. doi: 10.1038/s41467-020-16191-y

PubMed Abstract | CrossRef Full Text | Google Scholar

Kapellos, T. S., Taylor, L., Lee, H., Cowley, S. A., James, W. S., Iqbal, A. J., et al. (2016). A novel real time imaging platform to quantify macrophage phagocytosis. Biochem. Pharmacol. 116, 107–119. doi: 10.1016/j.bcp.2016.07.011

PubMed Abstract | CrossRef Full Text | Google Scholar

Katsuki, H., Nakai, S., Hirai, Y., Akaji, K., Kiso, Y., and Satoh, M. (1990). Interleukin-1 beta inhibits long-term potentiation in the CA3 region of mouse hippocampal slices. Eur. J. Pharmacol. 181, 323–326. doi: 10.1016/0014-2999(90)90099-r

CrossRef Full Text | Google Scholar

Kerschensteiner, M., Meinl, E., and Hohlfeld, R. (2010). Neuro-immune crosstalk in CNS diseases. Results Probl. Cell Differ. 51, 197–216. doi: 10.1007/400_2009_6

CrossRef Full Text | Google Scholar

Klehmet, J., Harms, H., Richter, M., Prass, K., Volk, H. D., Dirnagl, U., et al. (2009). Stroke-induced immunodepression and post-stroke infections: Lessons from the preventive antibacterial therapy in stroke trial. Neuroscience 158, 1184–1193. doi: 10.1016/j.neuroscience.2008.07.044

PubMed Abstract | CrossRef Full Text | Google Scholar

Kleinschnitz, C., Schwab, N., Kraft, P., Hagedorn, I., Dreykluft, A., Schwarz, T., et al. (2010). Early detrimental T-cell effects in experimental cerebral ischemia are neither related to adaptive immunity nor thrombus formation. Blood 115, 3835–3842. doi: 10.1182/blood-2009-10-249078

PubMed Abstract | CrossRef Full Text | Google Scholar

Korhonen, P., Kanninen, K. M., Lehtonen, S., Lemarchant, S., Puttonen, K. A., Oksanen, M., et al. (2015). Immunomodulation by interleukin-33 is protective in stroke through modulation of inflammation. Brain Behav. Immun. 49, 322–336. doi: 10.1016/j.bbi.2015.06.013

PubMed Abstract | CrossRef Full Text | Google Scholar

Lambertsen, K. L., Gregersen, R., Meldgaard, M., Clausen, B. H., Heibol, E. K., Ladeby, R., et al. (2004). A role for interferon-gamma in focal cerebral ischemia in mice. J. Neuropathol. Exp. Neurol. 63, 942–955. doi: 10.1093/jnen/63.9.942

PubMed Abstract | CrossRef Full Text | Google Scholar

Lange, C., Turrero Garcia, M., Decimo, I., Bifari, F., Eelen, G., Quaegebeur, A., et al. (2016). Relief of hypoxia by angiogenesis promotes neural stem cell differentiation by targeting glycolysis. EMBO J. 35, 924–941. doi: 10.15252/embj.201592372

PubMed Abstract | CrossRef Full Text | Google Scholar

Laterza, C., Wattananit, S., Uoshima, N., Ge, R., Pekny, R., Tornero, D., et al. (2017). Monocyte depletion early after stroke promotes neurogenesis from endogenous neural stem cells in adult brain. Exp. Neurol. 297, 129–137. doi: 10.1016/j.expneurol.2017.07.012

PubMed Abstract | CrossRef Full Text | Google Scholar

Lee, G. A., Lin, T. N., Chen, C. Y., Mau, S. Y., Huang, W. Z., Kao, Y. C., et al. (2018). Interleukin 15 blockade protects the brain from cerebral ischemia-reperfusion injury. Brain Behav. Immun. 73, 562–570. doi: 10.1016/j.bbi.2018.06.021

PubMed Abstract | CrossRef Full Text | Google Scholar

Lei, W. L., Xing, S. G., Deng, C. Y., Ju, X. C., Jiang, X. Y., and Luo, Z. G. (2012). Laminin/beta1 integrin signal triggers axon formation by promoting microtubule assembly and stabilization. Cell Res. 22, 954–972. doi: 10.1038/cr.2012.40

PubMed Abstract | CrossRef Full Text | Google Scholar

Li, Q., and Barres, B. A. (2018). Microglia and macrophages in brain homeostasis and disease. Nat. Rev. Immunol. 18, 225–242. doi: 10.1038/nri.2017.125

PubMed Abstract | CrossRef Full Text | Google Scholar

Li, R., Patterson, K. R., and Bar-Or, A. (2018). Reassessing B cell contributions in multiple sclerosis. Nat. Immunol. 19, 696–707. doi: 10.1038/s41590-018-0135-x

PubMed Abstract | CrossRef Full Text | Google Scholar

Lin, Y., Zhang, J. C., Yao, C. Y., Wu, Y., Abdelgawad, A. F., Yao, S. L., et al. (2016). Critical role of astrocytic interleukin-17 A in post-stroke survival and neuronal differentiation of neural precursor cells in adult mice. Cell Death Dis. 7:e2273. doi: 10.1038/cddis.2015.284

PubMed Abstract | CrossRef Full Text | Google Scholar

Liu, Q., Jin, W. N., Liu, Y., Shi, K., Sun, H., Zhang, F., et al. (2017). Brain ischemia suppresses immunity in the periphery and brain via different neurogenic innervations. Immunity 46, 474–487. doi: 10.1016/j.immuni.2017.02.015

PubMed Abstract | CrossRef Full Text | Google Scholar

Liu, X., Liu, J., Zhao, S., Zhang, H., Cai, W., Cai, M., et al. (2016). Interleukin-4 is essential for microglia/macrophage M2 polarization and long-term recovery after cerebral ischemia. Stroke 47, 498–504. doi: 10.1161/STROKEAHA.115.012079

PubMed Abstract | CrossRef Full Text | Google Scholar

Liu, Y., Li, S., Wang, R., Pu, H., Zhao, Y., Ye, Q., et al. (2021). Inhibition of TGFbeta-activated kinase 1 promotes inflammation-resolving microglial/macrophage responses and recovery after stroke in ovariectomized female mice. Neurobiol. Dis. 151:105257. doi: 10.1016/j.nbd.2021.105257

PubMed Abstract | CrossRef Full Text | Google Scholar

Llovera, G., Benakis, C., Enzmann, G., Cai, R., Arzberger, T., Ghasemigharagoz, A., et al. (2017). The choroid plexus is a key cerebral invasion route for T cells after stroke. Acta Neuropathol. 134, 851–868. doi: 10.1007/s00401-017-1758-y

PubMed Abstract | CrossRef Full Text | Google Scholar

Lyu, J., Xie, D., Bhatia, T. N., Leak, R. K., Hu, X., and Jiang, X. (2021). Microglial/macrophage polarization and function in brain injury and repair after stroke. CNS Neurosci. Ther. 27, 515–527. doi: 10.1111/cns.13620

PubMed Abstract | CrossRef Full Text | Google Scholar

Ma, Y., Wang, J., Wang, Y., and Yang, G. Y. (2017). The biphasic function of microglia in ischemic stroke. Prog. Neurobiol. 157, 247–272. doi: 10.1016/j.pneurobio.2016.01.005

PubMed Abstract | CrossRef Full Text | Google Scholar

Ma, Y., Yang, S., He, Q., Zhang, D., and Chang, J. (2021). The role of immune cells in post-stroke angiogenesis and neuronal remodeling: The known and the unknown. Front. Immunol. 12:784098. doi: 10.3389/fimmu.2021.784098

PubMed Abstract | CrossRef Full Text | Google Scholar

Martinez, F. O., and Gordon, S. (2014). The M1 and M2 paradigm of macrophage activation: Time for reassessment. F1000Prime Rep. 6:13. doi: 10.12703/P6-13

PubMed Abstract | CrossRef Full Text | Google Scholar

Meng, C., Zhang, J. C., Shi, R. L., Zhang, S. H., and Yuan, S. Y. (2015). Inhibition of interleukin-6 abolishes the promoting effects of pair housing on post-stroke neurogenesis. Neuroscience 307, 160–170. doi: 10.1016/j.neuroscience.2015.08.055

PubMed Abstract | CrossRef Full Text | Google Scholar

Mirabella, F., Desiato, G., Mancinelli, S., Fossati, G., Rasile, M., Morini, R., et al. (2021). Prenatal interleukin 6 elevation increases glutamatergic synapse density and disrupts hippocampal connectivity in offspring. Immunity 54:e2618. doi: 10.1016/j.immuni.2021.10.006

PubMed Abstract | CrossRef Full Text | Google Scholar

Miron, V. E., Boyd, A., Zhao, J. W., Yuen, T. J., Ruckh, J. M., Shadrach, J. L., et al. (2013). M2 microglia and macrophages drive oligodendrocyte differentiation during CNS remyelination. Nat. Neurosci. 16, 1211–1218. doi: 10.1038/nn.3469

PubMed Abstract | CrossRef Full Text | Google Scholar

Mracsko, E., Liesz, A., Stojanovic, A., Lou, W. P., Osswald, M., Zhou, W., et al. (2014). Antigen dependently activated cluster of differentiation 8-positive T cells cause perforin-mediated neurotoxicity in experimental stroke. J. Neurosci. 34, 16784–16795. doi: 10.1523/JNEUROSCI.1867-14.2014

PubMed Abstract | CrossRef Full Text | Google Scholar

Muhammad, S., Chaudhry, S. R., Kahlert, U. D., Niemela, M., and Hanggi, D. (2021). Brain immune interactions-novel emerging options to treat acute ischemic brain injury. Cells 10:2429. doi: 10.3390/cells10092429

PubMed Abstract | CrossRef Full Text | Google Scholar

Murray, P. J. (2017). Macrophage polarization. Annu. Rev. Physiol. 79, 541–566. doi: 10.1146/annurev-physiol-022516-034339

PubMed Abstract | CrossRef Full Text | Google Scholar

Neumann, J., Sauerzweig, S., Ronicke, R., Gunzer, F., Dinkel, K., Ullrich, O., et al. (2008). Microglia cells protect neurons by direct engulfment of invading neutrophil granulocytes: A new mechanism of CNS immune privilege. J. Neurosci. 28, 5965–5975. doi: 10.1523/JNEUROSCI.0060-08.2008

PubMed Abstract | CrossRef Full Text | Google Scholar

Offner, H., and Hurn, P. D. (2012). A novel hypothesis: Regulatory B lymphocytes shape outcome from experimental stroke. Transl. Stroke Res. 3, 324–330. doi: 10.1007/s12975-012-0187-4

PubMed Abstract | CrossRef Full Text | Google Scholar

Offner, H., Subramanian, S., Parker, S. M., Wang, C., Afentoulis, M. E., Lewis, A., et al. (2006). Splenic atrophy in experimental stroke is accompanied by increased regulatory T cells and circulating macrophages. J. Immunol. 176, 6523–6531. doi: 10.4049/jimmunol.176.11.6523

PubMed Abstract | CrossRef Full Text | Google Scholar

Ortega, S. B., Torres, V. O., Latchney, S. E., Whoolery, C. W., Noorbhai, I. Z., Poinsatte, K., et al. (2020). B cells migrate into remote brain areas and support neurogenesis and functional recovery after focal stroke in mice. Proc. Natl. Acad. Sci. U.S.A. 117, 4983–4993. doi: 10.1073/pnas.1913292117

PubMed Abstract | CrossRef Full Text | Google Scholar

Otxoa-de-Amezaga, A., Miro-Mur, F., Pedragosa, J., Gallizioli, M., Justicia, C., Gaja-Capdevila, N., et al. (2019). Microglial cell loss after ischemic stroke favors brain neutrophil accumulation. Acta Neuropathol. 137, 321–341. doi: 10.1007/s00401-018-1954-4

PubMed Abstract | CrossRef Full Text | Google Scholar

Pedragosa, J., Miro-Mur, F., Otxoa-de-Amezaga, A., Justicia, C., Ruiz-Jaen, F., Ponsaerts, P., et al. (2020). CCR2 deficiency in monocytes impairs angiogenesis and functional recovery after ischemic stroke in mice. J. Cereb. Blood Flow Metab. 40, S98–S116. doi: 10.1177/0271678X20909055

PubMed Abstract | CrossRef Full Text | Google Scholar

Pennypacker, K. R., and Offner, H. (2015). The role of the spleen in ischemic stroke. J. Cereb. Blood Flow Metab. 35, 186–187. doi: 10.1038/jcbfm.2014.212

PubMed Abstract | CrossRef Full Text | Google Scholar

Perez-de-Puig, I., Miro-Mur, F., Ferrer-Ferrer, M., Gelpi, E., Pedragosa, J., Justicia, C., et al. (2015). Neutrophil recruitment to the brain in mouse and human ischemic stroke. Acta Neuropathol. 129, 239–257. doi: 10.1007/s00401-014-1381-0

PubMed Abstract | CrossRef Full Text | Google Scholar

Prass, K., Meisel, C., Hoflich, C., Braun, J., Halle, E., Wolf, T., et al. (2003). Stroke-induced immunodeficiency promotes spontaneous bacterial infections and is mediated by sympathetic activation reversal by poststroke T helper cell type 1-like immunostimulation. J. Exp. Med. 198, 725–736. doi: 10.1084/jem.20021098

PubMed Abstract | CrossRef Full Text | Google Scholar

Prinz, M., and Priller, J. (2017). The role of peripheral immune cells in the CNS in steady state and disease. Nat. Neurosci. 20, 136–144. doi: 10.1038/nn.4475

PubMed Abstract | CrossRef Full Text | Google Scholar

Qiu, M., Xu, E., and Zhan, L. (2021). Epigenetic regulations of microglia/macrophage polarization in ischemic stroke. Front. Mol. Neurosci. 14:697416. doi: 10.3389/fnmol.2021.697416

PubMed Abstract | CrossRef Full Text | Google Scholar

Ren, X., Akiyoshi, K., Dziennis, S., Vandenbark, A. A., Herson, P. S., Hurn, P. D., et al. (2011). Regulatory B cells limit CNS inflammation and neurologic deficits in murine experimental stroke. J. Neurosci. 31, 8556–8563. doi: 10.1523/JNEUROSCI.1623-11.2011

PubMed Abstract | CrossRef Full Text | Google Scholar

Roth, S., Cao, J., Singh, V., Tiedt, S., Hundeshagen, G., Li, T., et al. (2021). Post-injury immunosuppression and secondary infections are caused by an AIM2 inflammasome-driven signaling cascade. Immunity 54:e648. doi: 10.1016/j.immuni.2021.02.004

PubMed Abstract | CrossRef Full Text | Google Scholar

Rowe, D. D., Collier, L. A., Seifert, H. A., Chapman, C. B., Leonardo, C. C., Willing, A. E., et al. (2014). Leukemia inhibitor factor promotes functional recovery and oligodendrocyte survival in rat models of focal ischemia. Eur. J. Neurosci. 40, 3111–3119. doi: 10.1111/ejn.12675

PubMed Abstract | CrossRef Full Text | Google Scholar

Roy Choudhury, G., Ryou, M. G., Poteet, E., Wen, Y., He, R., Sun, F., et al. (2014). Involvement of p38 MAPK in reactive astrogliosis induced by ischemic stroke. Brain Res. 1551, 45–58. doi: 10.1016/j.brainres.2014.01.013

PubMed Abstract | CrossRef Full Text | Google Scholar

Ruan, L., Wang, B., ZhuGe, Q., and Jin, K. (2015). Coupling of neurogenesis and angiogenesis after ischemic stroke. Brain Res. 1623, 166–173. doi: 10.1016/j.brainres.2015.02.042

PubMed Abstract | CrossRef Full Text | Google Scholar

Sas, A. R., Carbajal, K. S., Jerome, A. D., Menon, R., Yoon, C., Kalinski, A. L., et al. (2020). A new neutrophil subset promotes CNS neuron survival and axon regeneration. Nat. Immunol. 21, 1496–1505. doi: 10.1038/s41590-020-00813-0

PubMed Abstract | CrossRef Full Text | Google Scholar

Schuhmann, M. K., Langhauser, F., Kraft, P., and Kleinschnitz, C. (2017). B cells do not have a major pathophysiologic role in acute ischemic stroke in mice. J Neuroinflammation 14:112. doi: 10.1186/s12974-017-0890-x

PubMed Abstract | CrossRef Full Text | Google Scholar

Seifert, H. A., and Pennypacker, K. R. (2014). Molecular and cellular immune responses to ischemic brain injury. Transl. Stroke Res. 5, 543–553. doi: 10.1007/s12975-014-0349-7

PubMed Abstract | CrossRef Full Text | Google Scholar

Selvaraj, U. M., Ujas, T. A., Kong, X., Kumar, A., Plautz, E. J., Zhang, S., et al. (2021). Delayed diapedesis of CD8 T cells contributes to long-term pathology after ischemic stroke in male mice. Brain Behav. Immun. 95, 502–513. doi: 10.1016/j.bbi.2021.05.001

PubMed Abstract | CrossRef Full Text | Google Scholar

Shi, X., Luo, L., Wang, J., Shen, H., Li, Y., Mamtilahun, M., et al. (2021). Stroke subtype-dependent synapse elimination by reactive gliosis in mice. Nat. Commun. 12:6943. doi: 10.1038/s41467-021-27248-x

PubMed Abstract | CrossRef Full Text | Google Scholar

Shi, L., Sun, Z., Su, W., Xu, F., Xie, D., Zhang, Q., et al. (2021). Treg cell-derived osteopontin promotes microglia-mediated white matter repair after ischemic stroke. Immunity 54:e1528. doi: 10.1016/j.immuni.2021.04.022

PubMed Abstract | CrossRef Full Text | Google Scholar

Shibahara, T., Ago, T., Tachibana, M., Nakamura, K., Yamanaka, K., Kuroda, J., et al. (2020). Reciprocal interaction between pericytes and macrophage in poststroke tissue repair and functional recovery. Stroke 51, 3095–3106. doi: 10.1161/STROKEAHA.120.029827

PubMed Abstract | CrossRef Full Text | Google Scholar

Shichita, T., Ago, T., Kamouchi, M., Kitazono, T., Yoshimura, A., and Ooboshi, H. (2012). Novel therapeutic strategies targeting innate immune responses and early inflammation after stroke. J. Neurochem. 123(Suppl. 2), 29–38. doi: 10.1111/j.1471-4159.2012.07941.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Shichita, T., Ito, M., Morita, R., Komai, K., Noguchi, Y., Ooboshi, H., et al. (2017). MAFB prevents excess inflammation after ischemic stroke by accelerating clearance of damage signals through MSR1. Nat. Med. 23, 723–732. doi: 10.1038/nm.4312

PubMed Abstract | CrossRef Full Text | Google Scholar

Shichita, T., Sugiyama, Y., Ooboshi, H., Sugimori, H., Nakagawa, R., Takada, I., et al. (2009). Pivotal role of cerebral interleukin-17-producing gammadeltaT cells in the delayed phase of ischemic brain injury. Nat. Med. 15, 946–950. doi: 10.1038/nm.1999

PubMed Abstract | CrossRef Full Text | Google Scholar

Sims, N. R., and Yew, W. P. (2017). Reactive astrogliosis in stroke: Contributions of astrocytes to recovery of neurological function. Neurochem. Int. 107, 88–103. doi: 10.1016/j.neuint.2016.12.016

PubMed Abstract | CrossRef Full Text | Google Scholar

Small, S. L., Buccino, G., and Solodkin, A. (2013). Brain repair after stroke–a novel neurological model. Nat. Rev. Neurol. 9, 698–707. doi: 10.1038/nrneurol.2013.222

PubMed Abstract | CrossRef Full Text | Google Scholar

Smolders, J., Heutinck, K. M., Fransen, N. L., Remmerswaal, E. B. M., Hombrink, P., Ten Berge, I. J. M., et al. (2018). Tissue-resident memory T cells populate the human brain. Nat. Commun. 9:4593. doi: 10.1038/s41467-018-07053-9

PubMed Abstract | CrossRef Full Text | Google Scholar

Stanzione, R., Forte, M., Cotugno, M., Bianchi, F., Marchitti, S., and Rubattu, S. (2022). Role of DAMPs and of leukocytes infiltration in ischemic stroke: Insights from animal models and translation to the human disease. Cell. Mol. Neurobiol. 42, 545–556. doi: 10.1007/s10571-020-00966-4

PubMed Abstract | CrossRef Full Text | Google Scholar

Stubbe, T., Ebner, F., Richter, D., Engel, O., Klehmet, J., Royl, G., et al. (2013). Regulatory T cells accumulate and proliferate in the ischemic hemisphere for up to 30 days after MCAO. J. Cereb. Blood Flow Metab. 33, 37–47. doi: 10.1038/jcbfm.2012.128

PubMed Abstract | CrossRef Full Text | Google Scholar

Swardfager, W., Winer, D. A., Herrmann, N., Winer, S., and Lanctot, K. L. (2013). Interleukin-17 in post-stroke neurodegeneration. Neurosci. Biobehav. Rev. 37, 436–447. doi: 10.1016/j.neubiorev.2013.01.021

PubMed Abstract | CrossRef Full Text | Google Scholar

Ullevig, S. L., Kim, H. S., Nguyen, H. N., Hambright, W. S., Robles, A. J., Tavakoli, S., et al. (2014). Ursolic acid protects monocytes against metabolic stress-induced priming and dysfunction by preventing the induction of Nox4. Redox Biol. 2, 259–266. doi: 10.1016/j.redox.2014.01.003

PubMed Abstract | CrossRef Full Text | Google Scholar

Underhill, D. M., Bassetti, M., Rudensky, A., and Aderem, A. (1999). Dynamic interactions of macrophages with T cells during antigen presentation. J. Exp. Med. 190, 1909–1914. doi: 10.1084/jem.190.12.1909

PubMed Abstract | CrossRef Full Text | Google Scholar

Varadarajan, S. G., Hunyara, J. L., Hamilton, N. R., Kolodkin, A. L., and Huberman, A. D. (2022). Central nervous system regeneration. Cell 185, 77–94. doi: 10.1016/j.cell.2021.10.029

PubMed Abstract | CrossRef Full Text | Google Scholar

Wang, J., Xie, L., Yang, C., Ren, C., Zhou, K., Wang, B., et al. (2015). Activated regulatory T cell regulates neural stem cell proliferation in the subventricular zone of normal and ischemic mouse brain through interleukin 10. Front. Cell. Neurosci. 9:361. doi: 10.3389/fncel.2015.00361

PubMed Abstract | CrossRef Full Text | Google Scholar

Wang, X., Zhang, L., Sun, W., Pei, L. L., Tian, M., Liang, J., et al. (2020). Changes of metabolites in acute ischemic stroke and its subtypes. Front. Neurosci. 14:580929. doi: 10.3389/fnins.2020.580929

PubMed Abstract | CrossRef Full Text | Google Scholar

Wang, R., Liu, Y., Ye, Q., Hassan, S. H., Zhao, J., Li, S., et al. (2020). RNA sequencing reveals novel macrophage transcriptome favoring neurovascular plasticity after ischemic stroke. J. Cereb. Blood Flow Metab. 40, 720–738. doi: 10.1177/0271678X19888630

PubMed Abstract | CrossRef Full Text | Google Scholar

Wang, X., Zhou, Y., Tang, D., Zhu, Z., Li, Y., Huang, T., et al. (2019). ACC1 (Acetyl coenzyme A carboxylase 1) is a potential immune modulatory target of cerebral ischemic stroke. Stroke 50, 1869–1878. doi: 10.1161/STROKEAHA.119.024564

PubMed Abstract | CrossRef Full Text | Google Scholar

Wanrooy, B. J., Wen, S. W., and Wong, C. H. (2021). Dynamic roles of neutrophils in post-stroke neuroinflammation. Immunol. Cell Biol. 99, 924–935. doi: 10.1111/imcb.12463

PubMed Abstract | CrossRef Full Text | Google Scholar

Wattananit, S., Tornero, D., Graubardt, N., Memanishvili, T., Monni, E., Tatarishvili, J., et al. (2016). Monocyte-derived macrophages contribute to spontaneous long-term functional recovery after stroke in mice. J. Neurosci. 36, 4182–4195. doi: 10.1523/JNEUROSCI.4317-15.2016

PubMed Abstract | CrossRef Full Text | Google Scholar

Wong, C. H. Y. (2019). Effects of stroke beyond the brain. Nat. Rev. Immunol. 19:719. doi: 10.1038/s41577-019-0234-4

PubMed Abstract | CrossRef Full Text | Google Scholar

Wong, C. H., Jenne, C. N., Lee, W. Y., Leger, C., and Kubes, P. (2011). Functional innervation of hepatic iNKT cells is immunosuppressive following stroke. Science 334, 101–105. doi: 10.1126/science.1210301

PubMed Abstract | CrossRef Full Text | Google Scholar

Woo, M. S., Yang, J., Beltran, C., and Cho, S. (2016). Cell surface CD36 protein in monocyte/macrophage contributes to phagocytosis during the resolution phase of ischemic stroke in mice. J. Biol. Chem. 291, 23654–23661. doi: 10.1074/jbc.M116.750018

PubMed Abstract | CrossRef Full Text | Google Scholar

Xie, D., Liu, H., Xu, F., Su, W., Ye, Q., Yu, F., et al. (2021). IL33 (Interleukin 33)/ST2 (Interleukin 1 receptor-like 1) axis drives protective microglial responses and promotes white matter integrity after stroke. Stroke 52, 2150–2161. doi: 10.1161/STROKEAHA.120.032444

PubMed Abstract | CrossRef Full Text | Google Scholar

Xiong, X., Xu, L., Wei, L., White, R. E., Ouyang, Y. B., and Giffard, R. G. (2015). IL-4 is required for sex differences in vulnerability to focal ischemia in mice. Stroke 46, 2271–2276. doi: 10.1161/STROKEAHA.115.008897

PubMed Abstract | CrossRef Full Text | Google Scholar

Xu, S., Lu, J., Shao, A., Zhang, J. H., and Zhang, J. (2020). Glial cells: Role of the immune response in ischemic stroke. Front. Immunol. 11:294. doi: 10.3389/fimmu.2020.00294

PubMed Abstract | CrossRef Full Text | Google Scholar

Yilmaz, G., Arumugam, T. V., Stokes, K. Y., and Granger, D. N. (2006). Role of T lymphocytes and interferon-gamma in ischemic stroke. Circulation 113, 2105–2112. doi: 10.1161/CIRCULATIONAHA.105.593046

PubMed Abstract | CrossRef Full Text | Google Scholar

Yoon, J. W., and Jun, H. S. (1999). Cellular and molecular roles of beta cell autoantigens, macrophages and T cells in the pathogenesis of autoimmune diabetes. Arch. Pharm. Res. 22, 437–447. doi: 10.1007/BF02979150

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhang, D., Hu, X., Qian, L., O’Callaghan, J. P., and Hong, J. S. (2010). Astrogliosis in CNS pathologies: Is there a role for microglia? Mol. Neurobiol. 41, 232–241. doi: 10.1007/s12035-010-8098-4

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhang, D., Ren, J., Luo, Y., He, Q., Zhao, R., Chang, J., et al. (2021). T cell response in ischemic stroke: From mechanisms to translational insights. Front. Immunol. 12:707972. doi: 10.3389/fimmu.2021.707972

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhang, W., Zhao, J., Wang, R., Jiang, M., Ye, Q., Smith, A. D., et al. (2019). Macrophages reprogram after ischemic stroke and promote efferocytosis and inflammation resolution in the mouse brain. CNS Neurosci. Ther. 25, 1329–1342. doi: 10.1111/cns.13256

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhang, Q., Zhu, W., Xu, F., Dai, X., Shi, L., Cai, W., et al. (2019). The interleukin-4/PPARgamma signaling axis promotes oligodendrocyte differentiation and remyelination after brain injury. PLoS Biol. 17:e3000330. doi: 10.1371/journal.pbio.3000330

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhang, R., Chopp, M., and Zhang, Z. G. (2013). Oligodendrogenesis after cerebral ischemia. Front. Cell. Neurosci. 7:201. doi: 10.3389/fncel.2013.00201

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhang, S. R., Piepke, M., Chu, H. X., Broughton, B. R., Shim, R., Wong, C. H., et al. (2018). IL-33 modulates inflammatory brain injury but exacerbates systemic immunosuppression following ischemic stroke. JCI Insight 3:e121560. doi: 10.1172/jci.insight.121560

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhang, Y., Gao, Z., Wang, D., Zhang, T., Sun, B., Mu, L., et al. (2014). Accumulation of natural killer cells in ischemic brain tissues and the chemotactic effect of IP-10. J. Neuroinflammation 11:79. doi: 10.1186/1742-2094-11-79

PubMed Abstract | CrossRef Full Text | Google Scholar

Zheng, Y., He, R., Wang, P., Shi, Y., Zhao, L., and Liang, J. (2019). Exosomes from LPS-stimulated macrophages induce neuroprotection and functional improvement after ischemic stroke by modulating microglial polarization. Biomater. Sci. 7, 2037–2049. doi: 10.1039/c8bm01449c

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhou, Y. X., Wang, X., Tang, D., Li, Y., Jiao, Y. F., Gan, Y., et al. (2019). IL-2mAb reduces demyelination after focal cerebral ischemia by suppressing CD8(+) T cells. CNS Neurosci. Ther. 25, 532–543. doi: 10.1111/cns.13084

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhu, J., Yamane, H., and Paul, W. E. (2010). Differentiation of effector CD4 T cell populations (*). Annu. Rev. Immunol. 28, 445–489. doi: 10.1146/annurev-immunol-030409-101212

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhu, Y. M., Lin, L., Wei, C., Guo, Y., Qin, Y., Li, Z. S., et al. (2021). The key regulator of necroptosis, RIP1 kinase, contributes to the formation of astrogliosis and glial scar in ischemic stroke. Transl. Stroke Res. 12, 991–1017. doi: 10.1007/s12975-021-00888-3

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: ischemic stroke, functional recovery, T cells, monocytes and macrophages, B cells, neutrophils, cytokines

Citation: Zhang Z, Lv M, Zhou X and Cui Y (2022) Roles of peripheral immune cells in the recovery of neurological function after ischemic stroke. Front. Cell. Neurosci. 16:1013905. doi: 10.3389/fncel.2022.1013905

Received: 08 August 2022; Accepted: 03 October 2022;
Published: 21 October 2022.

Edited by:

Jui-Hung Jimmy Yen, Indiana University School of Medicine, United States

Reviewed by:

Takashi Shichita, Tokyo Metropolitan Institute of Medical Science, Japan
Linglei Kong, Chinese Academy of Medical Sciences and Peking Union Medical College, China
Yutong Jiang, Third Affiliated Hospital of Sun Yat-sen University, China

Copyright © 2022 Zhang, Lv, Zhou and Cui. 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: Yu Cui, Y3VpeXUxMjEwQDEyNi5jb20=

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.