The Translational Potential of Microglia and Monocyte-Derived Macrophages in Ischemic Stroke

Abstract

The immune response to ischemic stroke is an area of study that is at the forefront of stroke research and presents promising new avenues for treatment development. Upon cerebral vessel occlusion, the innate immune system is activated by danger-associated molecular signals from stressed and dying neurons. Microglia, an immune cell population within the central nervous system which phagocytose cell debris and modulate the immune response via cytokine signaling, are the first cell population to become activated. Soon after, monocytes arrive from the peripheral immune system, differentiate into macrophages, and further aid in the immune response. Upon activation, both microglia and monocyte-derived macrophages are capable of polarizing into phenotypes which can either promote or attenuate the inflammatory response. Phenotypes which promote the inflammatory response are hypothesized to increase neuronal damage and impair recovery of neuronal function during the later phases of ischemic stroke. Therefore, modulating neuroimmune cells to adopt an anti-inflammatory response post ischemic stroke is an area of current research interest and potential treatment development. In this review, we outline the biology of microglia and monocyte-derived macrophages, further explain their roles in the acute, subacute, and chronic stages of ischemic stroke, and highlight current treatment development efforts which target these cells in the context of ischemic stroke.

Introduction

First described by Hippocrates nearly 2,400 years ago, stroke, or “apoplexy,” is the second leading cause of death globally and accounts for approximately 1 out of every 19 deaths in the United States (1). Stroke is also a leading cause of long-term disability and places a high economic burden on global healthcare systems. Despite significant advances in primary and secondary stroke prevention, the annual number of strokes and stroke-related deaths have persistently increased over the past two decades (2). An estimated 87% of strokes are ischemic (3), in which a sudden interruption in cerebral blood flow results in rapid cell death within the ischemic core. Specifically in the neuropathological progression of stroke, neuronal necrosis and apoptosis result in profound neuroinflammation and secondary tissue injury, which can be counterproductive to both short and long-term recovery (4, 5).

Current treatment strategies for acute thrombotic or embolic stroke are focused on early reperfusion with intravenous thrombolytics or mechanical thrombectomy, supplemented by supportive care and acute complication management. At present, alteplase is the only Food and Drug Administration (FDA)-approved medical therapy in the United States for the treatment of acute ischemic stroke (6). Mechanical thrombectomy with or without intravenous thrombolysis has revolutionized the treatment of stroke. Similar progress in treating secondary inflammatory injury is necessary to optimize patient outcomes.

The Immune Response to Stroke

Inflammation plays a critical role in the pathogenesis of ischemic stroke. Hypoxic brain injury results in rapid activation of resident immune cells and subsequent influx of peripheral inflammatory cells (7). The innate immune response occurs in three phases following an ischemic insult: the acute stage (minutes to hours), the subacute stage (hours to days), and the chronic stage (days to months) (8). In each of these phases, specific immune cell populations participate in tissue repair; however, aberrant, overly robust, or prolonged inflammation at any stage can be counterproductive to recovery. Elucidating the specific cell types active at each stage, their roles in tissue repair, and how they interact within the neurovascular unit is critical to developing immune-based therapies to mitigate secondary injury.

Two key immune cell populations—resident microglia and infiltrating monocyte-derived macrophages (MoDMs)—are critical mediators of the intracerebral immune response and shape the post-stroke environment. Microglia are a specialized, self-renewing macrophage population residing in the central nervous system (CNS), and are the first immune cells to respond to ischemic injury. In contrast, MoDMs are derived from circulating monocytes that migrate to the site of inflammation (9–13) (Figure 1). Once activated, microglia and MoDMs phagocytose debris, secrete cytokines, and present antigens to T cells, marking the induction of adaptive immunity. In this review, we discuss the unique roles of microglia and MoDMs in mediating the post-stroke response, and explore therapies targeting this response.

Figure 1

Background: Microglia

Microglia and MoDMs are distinct cell populations that are involved in the innate immunological responses to brain injury and disease. Though microglia and MoDMs share similar phenotypes and functions, their ontology is unique, with microglia arising from erythromyeloid progenitors in the yolk sac and other mononuclear phagocytes, including dendritic cells, monocytes, and macrophages, arising from hematopoietic stem cells (14). During embryological development, microglia precursor cells migrate to the brain, where differentiation into microglia is driven by various external signals within the brain environment (15). Over the course of pre- to post-natal development, microglia display a variety of functions, including synaptic remodeling and maturation. In the adult brain, estimates of microglial abundance range from 5-20% (16). Though the full range of microglial programs is unknown, several key functions have been identified, including phagocytosis of myelin, modulation of neuronal activity, maintenance of oligodendrocyte progenitor cells, and immune defense (17, 18). Homeostatic microglia perform an extensive array of cellular processes which continually monitor the CNS for injury and pathogenic breach (19, 20). Upon detection of pathogenic breach or neuronal damage, microglia adopt an activated phenotype and phagocytose foreign invaders.

Microglia adopt distinct morphologies corresponding with their activation state. Bushy microglia have a larger soma surrounded by fewer and thicker cell processes when compared to homeostatic, ramified microglia. Amoeboid microglia are rounder with rare or even nonexistent cell processes. Upon transitioning from ramified to amoeboid morphology and migrating to the site of invasion/injury, microglia engage in the act of phagocytosis, one of their primary functions (15). Microglial migration is directed by molecular signals—including various cytokines and chemokines—which are released by injured neurons (21). Furthermore, microglia express key phagocytic receptors, including toll-like receptors (TLRs) and TREM-2, which recognize foreign pathogens and apoptotic cell debris (22, 23). The ultimate phagocytosis of these foreign materials and debris involves amoeboid microglia utilizing actin cytoskeleton reorganization to extend their processes around extracellular material, forming a phagosome (24, 25). The resultant phagosome then enters the endolysosomal pathway where the engulfed material is degraded. Microglia phagocytosis has been hypothesized to play a protective role in various disorders of the nervous system, including Alzheimer’s disease and Parkinson’s disease, by clearing pathological accumulations of amyloid beta and alpha-synuclein protein, respectively (26, 27). Additional important immune functions of microglia include the initiation of inflammatory cascades via cross talk with neurons, glial cells, and infiltrating monocytes. Microglia express MHC II and are capable of antigen presentation, although the extent to which they prime naïve lymphocytes vs participate in ongoing antigenic stimulation in the setting of stroke is unknown.

Microglia have traditionally been classified as having a pro-inflammatory (M1) or anti-inflammatory (M2) phenotype (Figure 2). Microglia can also switch between the M1 and M2 phenotypes in response to changes in environmental conditions. Following ischemic stroke, oxidative stress triggers the activation of the antioxidative transcription factor nuclear erythroid related factor 2 (Nrf2) pathway (28). The Nrf2 pathway promotes microglia polarization to the anti-inflammatory M2 phenotype by increasing expression of anti-inflammatory genes such as NQO1 and HMOX1 (28). Enhancing Nrf2 pathway activity using various pharmacological compounds has been found to improve stroke outcomes in several preclinical studies (29, 30). Additionally, molecular compounds which suppress the NLRP3 inflammasome pathway have been found to promote phenotypic switching from the M1 to M2 activation state (31, 32). Furthermore, single-cell RNA sequencing has indicated that numerous activated microglia phenotypes exist based on clustering of transcriptomic data (33). Even within the M2 anti-inflammatory phenotype, several different activation subtypes such as M2a, M2b, M2c, and M2d, each with distinct functions in tissue repair and wound healing, have been identified (34). Clearly, activated microglia are a highly heterogenous cell population, with no clear consensus on how to define or differentiate various microglial subtypes. But while it is important to understand that M1 and M2 are not fixed phenotypes, the pro- and anti-inflammatory functions of these highly plastic phenotypes remain a useful framework for discussing the various roles of microglia in responding to ischemic stroke.

Figure 2

Background: Monocyte-Derived Macrophages

Monocyte-derived macrophages (MoDMs) arise from monocytes, which, in turn, differentiate from hematopoietic stem cells in the adult bone marrow and are continuously regenerated throughout adulthood (35, 36). Although the specific role of MoDMs is dynamic, these cells generally function to produce proinflammatory factors, clear pathogens, and present antigens (37–40). On a cellular level, MoDMs can be distinguished from microglia based on gene transcript expression. Compared to MoDMs, microglia exhibit higher expression of CX3CR1, TREM2, and SIGLEC (41). Furthermore, several surface markers such as P2RY12, TMEM119, FCRLS, and intracellular markers such as SALL1 have been identified as specific to microglia (42, 43).

Whereas microglia remain confined to the CNS, monocytes are found in peripheral blood circulation, bone marrow, and the spleen. MoDMs and their precursors display classically activated (pro-inflammatory) or alternatively activated (anti-inflammatory) phenotypes, but are capable of intermediate activation states as well. Broadly, M1 MoDMs promote inflammation by releasing cytotoxic substances and inducing cell death whereas M2 MoDMs phagocytose cellular debris and release trophic factors that enhance recovery. As with M1 and M2 microglia subtypes, there is significant overlap in signature markers for M1 and M2 phenotypes amongst the MoDMs, suggesting there is a pro/anti-inflammatory continuum on which cells lie and shift dynamically. To further understand the MoDM phenotypes and their temporal expression post-stroke, it is important to further characterize the cells that will differentiate into these important players upon arrival to the ischemic site, the monocytes.

Human monocytes fall into three main subtypes based upon relative expression levels of the surface markers clusters of differentiation (CD) 14 and 16: classical monocytes (CD14⁺⁺CD16^-), intermediate monocytes (CD14⁺⁺CD16⁺) and non-classical monocytes (CD14⁺CD16⁺⁺) (44). CD14⁺⁺CD16^- monocytes express the receptors CD64 and CD32, produce TNF-ɑ and IL-10, exhibit high peroxidase activity, and are primed for phagocytosis. CD14⁺⁺CD16⁺ intermediate monocytes express the CCR5 receptor and have proinflammatory function, with comparable peroxidase activity to classical monocytes, but higher production of IL-1β, IL12, and TNFα. And finally, CD14⁺CD16⁺⁺ monocytes have weak phagocytic activity and fail to produce TNF-ɑ or IL-1 (44–46). The classical monocytes (CD14⁺⁺CD16^-) are generally considered to be a short-lived pro-inflammatory subset involved in phagocytosis. Intermediate monocytes (CD14⁺⁺CD16⁺) play a role in antigen presentation, apoptosis regulation, cytokine secretion and T-cell activation. Meanwhile, non-classical monocytes (CD14⁺CD16⁺⁺) are involved in complement mediated phagocytosis and patrolling vascular endothelium for damage or infection (47, 48).

In mice, three major monocyte subtypes, which are homologous to the human subtypes, have been identified based on differential expression of the surface receptor Ly-6C: the classical Ly-6C^hiCCR2⁺CD43^lowCX₃CR1^lowmonocytes, which represent approximately 2-5% of circulating white blood cells in healthy mice and are the first to arrive to inflamed tissues, the intermediate Ly-6C^hiCD43^hi monocytes, and the non-classical, alternatively activated Ly-6C^lowCCR2^-CD43^hiCX₃CR1^hi monocytes, which are longer-lived monocytes that surveil vasculature (49, 50). Ly6C^low mouse monocytes most closely correlate to CD14⁺CD16⁺⁺ human monocytes and Ly6C^hi mouse monocytes are analogous to human CD14⁺⁺ monocytes (44, 51, 52). While Ly6C^low cells have a half-life of nearly a week, Ly6C^hi cells have a half-life of less than one day (53).

Monocyte phenotypes are further distinguished by the relative presence of two chemokine receptors, C-X3-C Motif Chemokine Receptor 1(CX3CR1) and C-C Motif Chemokine Receptor 2 (CCR2), which are found on both murine and human cells (50, 54–57). Both human and mouse classical monocytes express high levels of CCR2 and low levels of CX3CR1 while non-classical monocytes of both species express high CX3CR1 and low levels of CCR2. The relative presence of these two key receptors is the basis of the migration and homing mechanism of monocytes into areas of inflammation.

Monocyte migration is directed by molecular signals, including cytokines and chemokines, which are released by injured neurons as well as astrocytes and microglia (21, 58) (Figure 1). Within peripheral blood circulation, CC-chemokine ligand 2 (CCL2) and ligand 7 (CCL7) are the key chemokines that bind to CCR2 and facilitate Ly6C^hi classical monocyte recruitment (59). The recruitment of Ly6C^low monocytes is dependent upon the CX₃C-chemokine ligand 1 (CX₃CL1), which is expressed in tissues as well as the marginal zone of the spleen. Other chemokine monocyte receptors, including CCR1, CCR5, CCR6, CCR7, CCR8 and CXCR2 have also been reported to be involved in monocyte recruitment, though their roles are less prominent (60–66).

Once activated, classical monocytes travel through the bloodstream to the site of inflammation, where they adhere to the endothelial surface through the binding of integrins and other adhesion molecules, and extravasate across the blood vessel wall into the area of inflamed tissue. Key adhesion molecules that have been described include, L-selectin, P-selectin glycoprotein ligand 1 (PSGL1), platelet endothelial cell adhesion molecule (PECAM1), macrophage receptor 1(MAC1), lymphocyte function-associated antigen 1 (LFA1), and very late antigen 4 (VLA4) (67–70). It has been reported that signaling in classically activated monocytes through the CCR2-CCL2 axis alters the conformation of VLA-4, leading to higher affinity interaction with its receptor vascular cell adhesion molecule-1 (VCAM-1) and ultimately monocyte transmigration into the infarcted tissue (71). On the other hand, alternatively activated monocytes bind to the endothelium via CX3CR1-CCL3 and transmigrate in an LFA1/Intercellular Adhesion molecule-1 (ICAM1) dependent manner (57).

Upon arrival to the site of inflammation, the undifferentiated classical monocytes begin to exhibit changes in immune phenotype by downregulating Ly6C and upregulating F4/80, characteristic of mature phagocytes (72). They also progressively acquire expression of alternatively activated macrophage markers, such as YM-1 and arginase-1 (12). Further differentiation results in upregulation of pro- or anti-inflammatory characteristics depending on key molecular pathways that affect gene expression and cellular metabolism (73). These include the P13K/AKT, PPARs, MYC, NOTCH, and IRFs pathways (43).

The classically activated M1 MoDMs contribute to tissue degradation and T cell activation (through expression of MHC-II) and are distinguished by secretion of proinflammatory cytokines TNF-alpha and IL6. The alternatively activated M2 MoDMs express YM-1 and arginase-1, secrete anti-inflammatory cytokines such as IL-10, and are involved in wound healing, angiogenesis, and tissue fibrosis (71). M1 MoDMs display a higher expression of markers CD38, CD274, CD197, CD54, CD82, CD86, and Slamf7, while M2 MoDMs express higher amounts of CD163, CD206, and Neurophilin (74). Cellular metabolism of these two subtypes also differs, with M1 macrophages relying upon aerobic glycolysis whereas M2 macrophages depend on the TCA cycle and oxidative phosphorylation (43). Through manipulation of enzymes involved in these pathways, such as Pyruvate Dehydrogenase (PDH), the M1/M2 phenotype dynamic could be shifted.

Conventionally, there has been a linear understanding in monocyte-to-macrophage differentiation, where the classical or pro-inflammatory monocytes only differentiate into M1 macrophages and the alternatively activated or anti-inflammatory monocytes only differentiate into M2 macrophages. This understanding of monocytes possessing pre-determined differentiation states once arriving at the site of inflammation is now in question, as studies have shown that in the absence of anti-inflammatory monocytes from the bone marrow, M2 macrophages have been identified in the infarcted brain (75). These findings highlight the need for further research into the signals and timing involved in monocyte-to-macrophage differentiation.

Recruitment and Activation of Microglia and MoDMs During Ischemic Stroke

At the onset of ischemic stroke, activated, amoeboid microglia rapidly migrate to the site of ischemic injury. The reduction in cerebral blood flow to the area of injury initiates a sequence of events often referred to as the ischemic pathway, which is notable for energy depletion and glutamate excitotoxicity leading to cell death (76). The ischemic core, defined as the region in which irreversible cell death has occurred, is characterized by elevated ion concentrations and glutamate levels as well as tissue acidosis (76). Elevated glutamate levels drive the release of microglial chemoattractants, such as ATP, CCL21, CXCL10, and IL-1β, leading to microglial recruitment (77). Imaging studies of ischemic stroke mouse models have found that within the first 24 hours of ischemia, and as early as thirty minutes after stroke onset (78) activated microglia (as characterized by an amoeboid morphology) populate the area of injury (19, 79). Adenosine triphosphate (ATP) release by dying neurons serves as a chemoattractant which activates purinergic receptors, such as P2Y12, on microglia and guides their directional migration to the site of injury (80). Downstream signaling pathways then enable chemotaxis via adhesion disassembly (81). Once microglia reach the site of injury, they are activated by damage-associated molecular patterns (DAMPs). High mobility group box 1 (HMGB1) is one such DAMP secreted by dying neurons following ischemic stroke. HMGB1 binds to TLR4 on microglia and induces production of pro-inflammatory cytokines, including interleukin (IL)-6 and tumor necrosis factor-alpha (TNF-alpha). Heat shock proteins, such as Hsp70, also activate microglia via nuclear factor-kappa B (NF-kB) activity (21). Microglia in turn secrete matrix metalloproteinase (MMP)-9, inducible nitric oxide synthase (iNOS), and reactive oxygen species (ROS) (81). These activities are temporally coordinated as some studies suggest that during the earlier stages of injury, microglia primarily promote tissue repair and reconstruction of the extracellular matrix (82, 83). In the later stages of injury, microglia shift towards a pro-inflammatory phenotype in which they release inflammatory cytokines and generate ROS (82, 83). This transition is not absolute, however, as other authors have shown that activated microglia can also secrete anti-inflammatory cytokines, such as transforming growth factor-beta (TGF-β) and IL-10 (84) at later timepoints (Figure 2).

In a transient ischemic rat model, microglia activation was evident 3.5 hours after the onset of ischemia (79). In a permanent ischemic mouse model, microglia featuring hypertrophic cell bodies and shortened processes were observed as early as the 30-minute time point (79, 85). Activated microglia are also recruited to the penumbra, the potentially salvageable region of brain tissue surrounding the ischemic core. In the penumbra, activated microglia are notably associated with blood vessels. Some studies have suggested that perivascular activated microglia play an important role in blood vessel repair as well as promoting the integrity of the BBB, which is compromised during ischemic stroke (86, 87). However, the role of perivascular activated microglia in mitigating tissue injury remains controversial, with other studies suggesting that they promote blood vessel disintegration (88).

Gender and aging also influence the microglial response to stroke. Mouse model studies have demonstrated that resting state male microglia exhibit higher expression of inflammatory genes regulated by the NF-kb transcription factor compared to female microglia, and male mice subjected to cerebral ischemia developed larger infarcts than female mice (89, 90) The difference in infarct size may be due to increased expression of genes significant for cellular plasticity in female microglia compared to male microglia (91). Additionally, aged mice have been found to experience more severe neurologic deficits following MCAO as well as increased serum levels of inflammatory cytokines compared to young mice (92). One hypothesis for this finding is the upregulation of IRF5 signaling which occurs with aging (92). Microglia in aged mice have been found to resist phenotypic transformation to an M2 anti-inflammatory state in response to IL-4 (93). Therefore, male sex and increased age may both impair anti-inflammatory aspects of the microglia response to ischemic injury.

Mobilization of monocytes from the bone marrow to the blood and ultimately into the infarcted tissue is dependent on the CCL2/CCR2 axis (59, 94, 95). CCL2 is produced by astrocytes and microglia in states of hypoxia, as it is under direct transcriptional control of Hypoxia-inducible factor 1-alpha (HIF-1alpha) (58). Because CCL2 exclusively binds to CCR2, which is only expressed on the classically activated, pro-inflammatory monocyte subset, this is the subset recruited to the ischemic site, a finding supported in experimental models of brain ischemia and hemorrhage (10, 72, 96). Garcia-Bonilla et al. utilized ischemic stroke models with CX3CR1^GFP/+CCR2^RFP/+ bone marrow (BM) chimeric mice to study the effects of CCR2 and CX3CR1 on monocyte/macrophage recruitment following stroke and showed that non-classical, alternatively activated CX3CR1⁺ monocytes/macrophages were absent in the brain of CCR2 null mice. Furthermore, they found that while circulating hematogenously-derived alternatively-activated monocytes were absent in NR4A1-deficient mice (a nuclear receptor responsible for the differentiation and survival of non-classical, alternatively activated monocytes), these mice still had increased alternatively-activated monocytes in the brain 14 days after stroke occurred (51, 75). This led the authors to conclude that the alternatively-activated monocytes were, in fact, derived from the classically-activated monocytes once they had arrived at the site of ischemia, and were not produced de novo in the bone marrow.

Breakdown of the BBB facilitates the transmigration of cells including monocytes from the periphery into the site of injury. Nadareishvili et al. quantitatively measured gadolinium leakage through serial MRIs to assess the degree of BBB disruption after thrombolytic therapy for acute stroke and found that increased BBB permeability was associated with worse outcomes in patients independent of the severity and size of stroke. In fact, for every 1% increase in BBB permeability there was a 75% decrease in the chance of a good long-term functional outcome (97). BBB permeability has been shown to occur in two phases: reversible disruption occurs early after ischemic onset and is driven by the release of MMP2, later BBB disruption is mediated by MMP-3, MMP-9, and cyclooxygenases days after the ischemic insult (98). This second wave of BBB disruption allows for the infiltration of systemic immune cells, including neutrophils, dendritic cells, T-cells, NK cells and monocytes. Endothelial activation also results in chemokine release and upregulation of adhesion molecules, both of which facilitate recruitment and transmigration of circulating monocytes. Endothelial and tissue resident macrophages regulate the infiltration of monocytes and neutrophils through the production of cytokines such as granulocyte macrophage-colony stimulating factor (GM-CSF) (99). Ischemia also triggers expression of adhesion molecules such as selectins, integrins, and intercellular and vascular adhesion molecules along the microvasculature, which facilities rolling and high affinity interactions for firm adhesion of circulating leukocytes (100).

Anatomically, the choroid plexus may be a particularly important route of monocyte recruitment and ingress into the infarcted brain region. Through gene expression studies and the use of chimeric mouse models, Ge et al. found that the choroid plexus responded to stroke by upregulation of several key mediators of MoDM trafficking (such as Vcam1, Madcam1, Cxcl1, CCL2, NT5E, and IFNy) which resulted in increased trafficking of MoDMs into the choroid plexus and CSF. If primed for the M2-phenotype in vitro using treatment with macrophage-colony stimulating factor (M-CSF), IL4, and IL13 prior to administration into the lateral ventricle ipsilateral to the ischemic lesion, MoDMs homed to the area of ischemia and promoted post-stroke recovery and improved cognition (101).

Once monocytes have infiltrated the area of ischemia, the ischemic environment promotes their differentiation into macrophages. While CCR2⁺ monocytes retain a round, amoeboid phenotype and are limited to the ischemic core, CX3CR1⁺ monocyte/macrophages can adopt three different phenotypes in the ischemic brain based on where they are localized relative to the infarct core: in the penumbra, they generally take on a ramified phenotype similar to homeostatic microglia, while in the infarct region, they take on an amoeboid, phagocytic macrophage phenotype, and when associated with blood vessels, resemble perivascular macrophages (75). Using the C-X-C Chemokine Receptor Type 4 (CXCR4) signature to trace cells of hematopoietic stem cell origin, it was found that monocyte infiltration occurs in both the peri-infarct and infarct areas after transient MCAO (102). In a photothrombosis infarct model, infiltration primarily occurred in the peri-infarct region. Interestingly, in CXCR4 knockout mice that underwent photothrombosis, monocyte infiltration and microglial proliferation were both reduced, suggesting that MoDMs are responsible for microglial repopulation of the infarct core. Furthermore, the authors also demonstrated that MoDMs were the main source of microglia-activating mediators following photothrombosis and maintained microglial activation in the peri-infarct region until they were cleared (102).

Activity and Function of Microglia and MoDMs During the Three Stages of Ischemic Stroke

Stroke is clinically staged into the acute, subacute, and chronic periods (Figure 3). The acute period is generally defined as the period of minutes to days following the ischemic insult, while the subacute period refers to the time from days to weeks following stroke, and the chronic period refers to the time period from weeks to months and beyond. The chronic stage can last for years and continue for the remainder of a patient’s life (8). Depending on the stage of stroke, microglia and MoDMs are preferentially polarized towards different activation states in order to carry out specialized functions. Mismatch between these activation states and the timing of recovery, or inflammation that becomes chronic can both be detrimental to long-term outcomes.

Figure 3

The Acute Phase

During the first 24 hours after ischemic injury, activated microglia predominantly exist in an anti-inflammatory state, as indicated by increased expression of CD206 and Ym1 (103). Additionally, canonical M2 markers, including CD206, Arg1, CCL22, Ym1/2, IL-10, and TGF-β are highly expressed starting 1-3 days after MCAO (104). M2 marker expression peaks around 3-5 days post-injury, and begins to decrease at seven days, finally returning to pre-ischemic insult levels by the subacute phase of stroke. M2 polarization is influenced by the activation of the transcription factor, peroxisome proliferator-activated receptor γ (PPARγ), as well as stimulation by IL-4 and IL-13 cytokines (105, 106). Activated M2 microglia secrete anti-inflammatory cytokines, such as IL-10, TGF-β, IL-4, IL-13, and insulin-like growth factor 1 (107–109). M2 microglia demonstrate increased phagocytic activity and are speculated to clear cell debris and injured tissue from the infarct area. These cells also promote tissue repair and recovery by promoting neurogenesis via nerve growth factor production, promoting angiogenesis via IL-8 and vascular endothelial growth factor (VEGF) production, and enhancing axonal regeneration via VEGF/TGF-β/IGF-1 production (110). The protective effect of M2 microglia during the acute phase of stroke has been indirectly demonstrated by the fact that microglia depletion following ischemic stroke exacerbates neuronal injury (111).

In contrast, the pro-inflammatory M1 phenotype is rarely observed in the ischemic core during the first 24 hours after stroke. In murine models of ischemic stroke, low expression of M1 markers iNOS, CD16, CD32, CD86, and CD11b has been observed in the three-day period following stroke onset (104). At these early timepoints, M1 or amoeboid microglia are concentrated in the penumbra. M1 microglia first appear in the ischemic core 24 hours after infarction, and their numbers peak at 14 days (108). The differentiation of microglia into the M1 phenotype following ischemic injury is prompted through activation of the NF‐κB transcription factor (112). NF-kB prompts the secretion of proinflammatory cytokines, such as IL-1β, IL-6 and TNF-α, as well as the production of inducible nitric oxide synthase (iNOS) and reactive oxygen species (ROS) (109). These combined processes result in secondary brain damage by exacerbating neuronal death and neuroinflammation, causing death of oligodendrocytes and oligodendrocyte progenitor cells, suppressing remyelination, and inhibiting neural precursor cell proliferation (113).

In the immediate peri-infarct region, microglia adopt a bushy morphology and demonstrate lower phagocytic activity (110, 113). The exact functions of microglia bearing different morphologies, including whether they exacerbate neuronal injury or promote neuroinflammation, is an area of active research. Additionally, it is important to note that microglia activation is not limited to the infarct core. Activated microglia are also present in the penumbra as well as remote brain regions which are functionally or anatomically connected to the primary injury site (22, 113, 114). This shifting spatial pattern of M1 phenotype from penumbra to core may play a role in limiting initial damage as some studies suggest that M1 microglia constrain expansion of the core (115). The M1 phenotype then predominates in the subacute phase.

MoDMs are sparse in the CNS during the acute phase of ischemic stroke. However in mice, the number of classically activated (Ly6C^hi) monocytes has been shown to be increased in the peripheral blood circulation during the acute phase (within 3 hours) and decreased to pre-ischemic levels in the sub-acute and chronic phases (from 1 to 7 days following ischemic onset) (96). Similarly, clinical studies have shown that there is an increased number of intermediate and classical monocytes in the blood circulation at acute and sub-acute phases of stroke, with decreased non-classical monocytes in blood circulation at these stages (116). In those patients with progressive infarction and severe injury, increased numbers of intermediate monocytes coupled with decreased numbers of non-classical monocytes were identified in the peripheral blood (117).

The Subacute Phase

At approximately one week following ischemic stroke, the number of M1 microglia begins to dramatically increase with a concomitant decrease in M2 microglia (108). This transition is referred to as an M2-to-M1 phenotypic shift, and M1 microglia remain the predominant activated form during the chronic phase of stroke. The continued release of proinflammatory factors from M1 microglia has been hypothesized to contribute to neuronal death, and persistent activation during the chronic phase of stroke may impair long term recovery (83, 118–120).

Like microglia, MoDMs also adopt time frame-dependent activation states that can amplify or attenuate the inflammatory response. Because these activated monocytes must exit the bone marrow, travel through the bloodstream, and cross the blood-brain barrier before differentiating into effector macrophage subsets, the presence of MoDMs peaks days after the inciting event (72, 121). In fact, studies using fluorescent cell tracking and magnetic resonance imaging to track MoDMs have found that they do not significantly contribute to the inflammatory response in the infarcted tissue until 3-7 days after ictus (9, 122, 123). In a murine study performed by Schilling et al. using GFP-stained hematogenous macrophages, GFP+ cells were present no earlier than the fourth day post-stroke (124, 125). This finding was supported in other transient and permanent MCAO animal models using MR imaging and iron-oxide particles (USPIO) to track MoDMs, which showed increased signals in the ischemic zone for 7 days following stroke, with the peak signals being noted on day 4 (126).

The majority of monocytes initially recruited to the brain after stroke are Ly-6Chi (CCR2+) cells, which differentiate primarily into M1 tissue macrophages in the stroked hemisphere and promote inflammation. Classically activated monocytes appear to be the dominant phenotype found in the infarct core during the subacute phase (3-5 days after stroke) (75). As they persist in the site of inflammation, however, these cells lose their Ly-6C and CCR2 expression and begin to release VEGF and TGF-β, facilitating angiogenesis and neuroprotection (127). Studies have termed this effect the “dead cell clearance” hypothesis, which posits that upon exposure to apoptotic cells, classically activated M1-like macrophages switch toward the alternatively activated M2 phenotype (128). Thus, by day 7, anti-inflammatory monocytes and MoDMs define the post-stroke setting (117). The presence of infiltrating monocytes in the subacute phase has been associated with decreased risk of hemorrhagic transformation (72). Furthermore, MoDMs have been shown to have a beneficial role in post-stroke recovery through modulating detrimental acute and long-term microglial-mediated inflammation (129).

The Chronic Phase

The chronic phase of stroke refers to the period of weeks to months after onset of the initial ischemic event. During this phase, microglia activation persists in the pro-inflammatory M1 activation state, and is associated with pathologic inflammation, neurodegeneration, and decreased neuroplasticity. The biological mechanisms underpinning the persistence of M1 microglia are not fully understood, but some known implicated pathways include increased activity of transcription factors such as Irf5 as well as downregulation of the CREB-C/EBPβ cascade (104). The pro-inflammatory cytokines released by M1 microglia damage nearby neurons, prompting the release of DAMPs which further perpetuates the inflammatory response. The long-term consequences of prolonged inflammation include dysfunctional or diminished tissue repair, synaptic plasticity, neurogenesis, axonal and dendritic spine regeneration, neural network reorganization, interhemispheric connections, and neuroplasticity (118, 130) In a preclinical study of MCAO mice, peripheral administration of IL-13 was found to induce an anti-inflammatory microglial response, resulting in improved gait and sensorimotor deficits at seven and 14 days post-stroke, respectively (130). Therefore, while interventions in the acute phase of stroke may be important for limiting initial ischemic damage, interventions in the chronic phase could potentially improve long-term neurofunctional outcomes.

On the contrary, during the late subacute to chronic phase (14-28 days post-stroke), alternatively activated monocytes predominate and primarily differentiate into the M2 anti-inflammatory MoDM phenotype (75) (Figure 3). Consistent with this finding, MoDMs have been shown to contribute to long-term spontaneous functional recovery (131, 132). MoDMs play a critical role in clearing debris and dead cells (99). Using an anti-CCR2 antibody, MC-21, Watannanit et al. were able to block monocyte recruitment and found that this resulted in decreased tissue expression of the anti-inflammatory genes TGFβ, CD163, and Ym1 and functional inability of mice to recover long-term (13). Yet, there are conflicting data in other models (133–135). In an intracerebral hemorrhage model, Hammond et al. reported that classical monocytes exacerbated acute disability (135). Using clodronate liposomes to deplete peripheral macrophages, Ma et al. found that under conditions of macrophage depletion, there was decreased demyelination and brain atrophy in the ipsilateral striatum and enhanced focal microvessel density in the peri-infarct region, all of which have been correlated with longer survival times in ischemic stroke patients (134, 136). Further long-term studies of the effects of MoDMs on recovery are needed to better understand these discordant findings regarding the activity and function of MoDMs in the chronic stage. These conflicting findings further highlight the limitations of M1 and M2 classification and future studies will be needed to move beyond phenotypic descriptions and better understand specific activities and pathways that promote recovery or injury at each stage.

Microglia and MoDMs Directed Treatments for Ischemic Stroke

Clinical therapies for stroke are currently focused on salvaging the penumbra in the acute phase via a combination of reperfusion techniques including intravenous thrombolytics and mechanical thrombectomy. Treatment strategies for the ensuing brain edema are mainly supportive, involving interventions such as hyperosmolar therapy, corticosteroids, hyperventilation and CSF diversion to reduce intracranial pressure during the acute swelling period. By the subacute and chronic stages, the treatment focus shifts to recovering function through physical and neuropsychological rehabilitation (137). At present there are no approved therapies that target the inflammatory pathways to limit secondary injury. Several pharmacological agents have been explored for their ability to promote neuroplasticity and neurogenesis during the later stages of stroke, including antidepressants, amphetamines, and neurotrophins (138). However, randomized controlled trials for these agents have failed to meet their efficacy endpoints (139).

The induction or promotion of the anti-inflammatory M2 microglia phenotype is one treatment strategy that has been employed in both preclinical and clinical studies to decrease inflammation in the acute and subacute phases and promote brain plasticity through in the chronic phase (113). Promotion of the M2 phenotype can be accomplished by administering molecular compounds which activate specific cell signaling pathways, such as the STAT3, AMPK, and PPARγ pathways (140–142). In preclinical studies, intravenous injection of compounds, such as xuesaitong (a Chinese patent medicine) and Ac2-26 (an annexin/lipocortin 1-mimetic peptide), as well as intraperitoneal injection of compounds such as recombinant human fibroblast growth factor 21 (rhFGF21 and melatonin, have been reported to promote the M2 microglia phenotype by modulating cell signaling (143–146) (Table 1). HP-1c, an activator of the AMPK and Nrf2 pathways, as well as CDDO-EA, an activator of the Nrf2 pathway, also promote the M2 microglia phenotype (29, 30). Inhibition of polarization to the M1 phenotype via inhibition of the PDE5 pathway is another treatment which has shown preclinical success. Administration of sildenafil, a PDE5 inhibitor, after MCAO has been found to decrease the number of M1 microglia during the later stages of stroke as well as reduce the extent of the ischemic lesion (149). Nitric oxide (NO) and hydrogen sulfide (H2S)-releasing hybrid) (NOSH-NBP) has been similarly found to promote the M2 microglia phenotype in murine models of cerebral ischemia (152). Furthermore, clinical trials evaluating the safety and efficacy of NBP in mild to moderate ischemic stroke patients are ongoing with results still pending (Table 2). Minocycline is an antibiotic found to promote the M2 microglia activation state in preclinical studies and has demonstrated some preliminary success for improving neurofunctional recovery following acute ischemic stroke in early clinical trials (161, 162). The MINOS (minocycline to improve neurological outcome in stroke) study was a phase 1 open-label, dose-finding study which found that minocycline could be safely tolerated in acute stroke patients at intravenous doses of up to 10 mg/kg (163). In a multicenter prospective randomized open-label pilot study of intravenous minocycline in a small sample of acute stroke patients, Kohler et al. reported that minocycline was safe but not efficacious. However, this study was not powered to reliably identify modest differences in clinical outcomes (164). In a small, open-label evaluator-blinded trial, Amiri-Nikpour et al. reported a gender-dependent effect on minocycline neuroprotection in ischemic stroke, noting improved clinical outcomes (lower National Institutes of Health Stroke Scale (NIHSS) scores) in minocycline-treated male patients, but no significant difference in minocycline-treated female patients (165). Of note, in these clinical trials, minocycline was administered as an oral or intravenous formulation to both ischemic and hemorrhagic acute stroke patients exclusively during the acute phase (161, 164–166). Additional clinical trials which test the efficacy of such pharmacological compounds are needed to determine whether modulating microglia phenotype can lead to improvement in neurologic outcome post ischemic stroke.

Several other drugs with known immunomodulatory properties have been repurposed in an effort to downregulate stroke-induced neuroinflammation. Montelukast, an anti-asthmatic drug, is a compound which has been found to promote microglia polarization to the M2 phenotype in mice (155). Montelukast acts as an antagonist of the CysLT-1 receptor and has been found to increase the number of M2 phenotype microglia during the acute phase of stroke (155). Edaravone is a free radical scavenger used in the treatment of amyotrophic lateral sclerosis (ALS), which has been found to promote the M2 microglia activation in preclinical studies (160, 167). In a retrospective study by Enomoto et al, clinical outcomes of patients who underwent endovascular reperfusion therapy and edavarone therapy within two days of admission were compared with patients who underwent endovascular reperfusion alone. In the group that received edavarone, the authors reported significantly lower in-hospital mortality and greater functional independence at discharge (168). Additional clinical trials designed to evaluate the efficacy of Edaravone are in preparation or currently in progress (Table 2). Several clinical trials are investigating the efficacy of combining Edaravone with dexborneol, a food additive which has demonstrated anti-inflammatory effects in preclinical stroke models (169). Interestingly, the combined treatment of Edaravone with dexborneol has been found to have a greater benefit for female patients compared to male patients, suggesting that sex may significantly influence the efficacy of such treatments (169). Fingolimod, a sphingosine l-phosphate receptor modulator that is FDA-approved for relapsing multiple sclerosis, is another drug that was shown in preclinical studies to skew microglia towards the M2 phenotype following chronic cerebral hypoperfusion and is now being studied in several clinical trials. In one trial of 25 patients with acute hemispheric ischemic stroke, combined therapy of fingolimod and alteplase was associated with fewer circulating leukocytes, smaller infarct volumes, attenuated reperfusion injury and improved functional outcomes compared to alteplase monotherapy (170).

Exosome therapy has also been used to increase the overall number of M2 microglia in the post-stroke environment. This strategy uses extracellular vesicles (EVs) derived from multipotent mesenchymal stromal cells to deliver proteins, lipids, and/or nucleic acids. In the context of stroke, EVs have been shown to facilitate transfer of miRNAs between cells, which can influence post-transcriptional gene regulation in microglia to increase the expression of M2 markers (171). In traumatic brain injury mouse models, delivering miR-124-3p via EVs derived from microglia cells has been shown to promote the anti-inflammatory phenotype (172). Furthermore, infusion of EVs derived from microglia treated with IL-4 into mice following MCAO has been found to effectively promote microglia polarization to the M2 phenotype during the chronic stage of stroke. IL-4 treatment promotes functional recovery by enhancing the neuronal myelination capacity of GPR17-expressing oligodendrocyte precursor cells (111). Therefore, exosome therapy is another promising, microglia-focused therapy for ischemic stroke.

Compared to microglia-focused therapies, treatments targeting MoDMs are more limited. Preclinical studies have focused on manipulating the pro- and anti-inflammatory monocyte subtypes, as well as administering anti-inflammatory MoDMs as a form of therapy. A study by Schmidt et al. using clodronate liposomes to deplete peripheral macrophages showed no beneficial therapeutic effect after ischemic stroke in mice (153). However, when monocyte-derived macrophages were skewed to an M2 phenotype in vitro prior to administration into the CSF of mice after MCAO, improved cognitive and motor function was observed although there was no difference in infarct volume (101). In another preclinical study, Yang et al. demonstrated that shifting blood monocytes toward a CCR2+ proinflammatory state using remote ischemic limb conditioning (RLC) prior to stroke onset reduced brain injury and improved recovery, and that adoptive transfer of CCR2 deficient monocytes abrogated the proinflammatory shift and resulted in worse functional outcomes (157). Another study utilized hypoxic preconditioning prior to MCAO to upregulate CCL2, the receptor for CCR2, and found that it resulted in a neuroprotective phenotype with reduced infarct volume, blood-brain barrier disruption, and leukocyte migration during MCAO (58). These findings emphasize not only the importance of pro-inflammatory monocytes in stroke recovery, but also the benefit of manipulating peripheral immune cells or their chemokine signals before infiltration into the brain. There may be potential for future preventative strategies to shift monocytes to a CCR2+ subset in the acute phase of stroke or prime the microenvironment for CCR2+ cell migration earlier in the post-stroke process, such as through remote ischemic limb conditioning or hypoxic preconditioning. Furthermore, adaptive cell therapy or autologous transplantation of M2-like MoDMs into the CSF could be a promising avenue for treatment, but this will require additional studies to optimize timing of administration, dosage, and efficacy in humans.

Approaches to skewing peripheral monocytes into the M2-like phenotype have targeted factors such as PPARγ, NR4A1, and micro-RNAs (21 and 146-a) (173). Using a model of stroke-prone spontaneously hypertensive rats, Nakamura et al. demonstrated that pioglitazone, a PPARγ agonist, was protective against hypertension-induced stroke by inhibiting macrophage infiltration and suppressing the expression of inflammatory cytokines CCL2 and TNF-α (174). NR4A1, a pro-oncogenic nuclear receptor, is integral to the differentiation of classical monocytes into the M2 anti-inflammatory phenotype and may be a potential therapeutic target (175). MicroRNAs (miRNAs) have been shown to play an integral role in regulating monocyte development and function. MiRNA 146-a has been the most extensively studied and shows the largest difference in expression between classical and non-classical monocytes, with non-classical monocytes featuring higher expression. Depletion of miRNA 146-a augments the pro-inflammatory response of classical monocytes (176).

Timing of microglia and monocyte-derived macrophage migration and activity is a key consideration in developing effective therapeutic strategies. The current model is that the anti-inflammatory functions of activated microglia in the acute phase wane in the subacute phase. During this period, MoDMs fulfill an anti-inflammatory role, and the activated microglia shift toward a pro-inflammatory state. This delayed infiltration of MoDMs makes them potential candidates for immunomodulation in the subacute phase. However, our knowledge of immune cells present at each stage of ischemic stroke is currently limited to specific “snapshots” of cell populations, measured primarily through techniques such as flow cytometry and immunohistochemistry. A more fluid understanding will be necessary to target the correct cell type at the correct time (4). Future studies must also consider potential downstream effects of eliminating conventionally proinflammatory cells during each phase of stroke. As discussed, pro-inflammatory cells may have the capability to differentiate into anti-inflammatory subtypes, and therefore may be sensitive to the dynamic changes in the tissue microenvironment. Thus, nonspecific deactivation of MoDMs may decrease local tissue damage, but may also disable subsequent debris clearance and other repair mechanisms. Further elucidation of the specific contexts in which these activities occur will be critical in developing targeted immunotherapeutics.

Immunotherapies that target monocytes and MoDMs have already shown promise in neurological disorders such as encephalitis, multiple sclerosis (MS), and aneurysmal subarachnoid hemorrhage (SAH) (177–181). In a broader sense, inflammation has been shown to contribute significantly to the pathogenesis of many peripheral and central nervous system diseases, including but not limited to fibromyalgia, neuropathic pain, Alzheimer’s disease, Parkinson’s disease, and traumatic brain injury (182). A core pattern of activation by resident microglia followed by systemic myeloid cells has been shown in the aforementioned neurological diseases, with cells displaying an initial state of proinflammatory activation and a later anti-inflammatory phenotype (183). Though the inflammatory response is similar between ischemic stroke and these other neuropathologies in the sequential activation and deactivation of the innate and adaptive immune response, ischemic stroke is unique among neuropathologies in that it is caused by an acute insult that, left untreated, rapidly results in oxidative stress, apoptosis, and inflammation, leading to a massive immune response. Unlike neurodegenerative diseases, which have a more chronic, persistent immune response characterized by continuously active microglia and infiltrating leukocytes, ischemic stroke has different phases of inflammation, ranging from the acute to chronic stage. The complex orchestration of the immune response in ischemic stroke is highly dependent on the switch in activation states of microglia and MoDMs at specific times following the onset of the insult. In sum, the main differences between the way inflammation contributes to the progression of individual neurological diseases arise in a disease-specific and lesion stage-specific manner with regard to the contribution of resident versus recruited myeloid cells and their activation profiles during each stage. Ultimately, targeting the progression of neuroinflammation may be of translational benefit for a wide variety of neurological diseases.

Conclusion

In the setting of ischemic stroke, microglia and MoDMs phagocytose cellular debris and mediate the inflammatory response by adopting pro- and anti-inflammatory activation states. These activation states are dependent upon environmental and temporal factors, and available studies suggest that inducing a phenotypic switch in microglia and MoDMs may promote stroke recovery. There are important limitations to translating this work. Markers of differentiation between microglia and monocyte-derived macrophages have historically been lacking; however, RNA sequencing data have elucidated more specific markers such as Tmem119, paving the way for targeted studies of the spatiotemporal dynamics of microglia and MoDMs in the setting of ischemic stroke. Persistent inflammation during the chronic stage of stroke is associated with impaired neurofunctional recovery, and there are no current treatments for stroke in the chronic stage beyond rehabilitation. So far, clinical trials have identified compounds which can induce anti-inflammatory microglia and MoDM activation states; however, the clinical efficacy of these compounds has yet to be confirmed. Furthermore, clinical trials have largely focused on the acute phase of stroke. To optimize neurofunctional outcomes of ischemic stroke patients, it may be necessary to apply specific immunotherapies across the spectrum of acute, subacute, and chronic inflammatory events following stroke. Future research will determine precisely which pathways should be targeted and when.

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

• 1

  American Heart Association. 2021 Heart Disease and Stroke Statistics Update Fact Sheet At-A-Glance (2021). Available at: https://www.heart.org/-/media/phd-files-2/science-news/2/2021-heart-and-stroke-stat-update/2021_heart_disease_and_stroke_statistics_update_fact_sheet_at_a_glance.pdf (Accessed September 7, 2021).

  • Google Scholar

• 2

  FeiginVLStarkBAJohnsonCORothGABisignanoCAbadyGGet al. Global, Regional, and National Burden of Stroke and its Risk Factors, 1990-2019: A Systematic Analysis for the Global Burden of Disease Study 2019. Lancet Neurol (2021) 20:795–820. doi: 10.1016/S1474-4422(21)00252-0

  • CrossRef
  • Google Scholar

• 3

  ViraniSSAlonsoABenjaminEJBittencourtMSCallawayCWCarsonAPet al. Heart Disease and Stroke Statistics—2020 Update: A Report From the American Heart Association. Circulation (2020) 141:e139–596. doi: 10.1161/CIR.0000000000000757

  • CrossRef
  • Google Scholar

• 4

  JinRYangGLiG. Inflammatory Mechanisms in Ischemic Stroke: Role of Inflammatory Cells. J Leukoc Biol (2010) 87:779–89. doi: 10.1189/jlb.1109766

  • CrossRef
  • Google Scholar

• 5

  DoyleKPQuachLNSoléMAxtellRCNguyenTSoler-LlavinaGJet al. B-Lymphocyte-Mediated Delayed Cognitive Impairment Following Stroke. J Neurosci (2015) 35:2133–45. doi: 10.1523/JNEUROSCI.4098-14.2015

  • CrossRef
  • Google Scholar

• 6

  BansalSSanghaKSKhatriP. Drug Treatment of Acute Ischemic Stroke. Am J Cardiovasc Drugs (2013) 13:57–69. doi: 10.1007/s40256-013-0007-6

  • CrossRef
  • Google Scholar

• 7

  JayarajRLAzimullahSBeiramRJalalFYRosenbergGA. Neuroinflammation: Friend and Foe for Ischemic Stroke. J Neuroinflamm (2019) 16:142. doi: 10.1186/s12974-019-1516-2

  • CrossRef
  • Google Scholar

• 8

  FaganSCHessDCHohnadelEJPollockDMErgulA. Targets for Vascular Protection After Acute Ischemic Stroke. Stroke (2004) 35:2220–5. doi: 10.1161/01.STR.0000138023.60272.9e

  • CrossRef
  • Google Scholar

• 9

  GelderblomMLeypoldtFSteinbachKBehrensDChoeC-USilerDAet al. Temporal and Spatial Dynamics of Cerebral Immune Cell Accumulation in Stroke. Stroke (2009) 40:1849–57. doi: 10.1161/STROKEAHA.108.534503

  • CrossRef
  • Google Scholar

• 10

  MichaudJPPimentel-CoelhoPMTremblayYRivestS. The Impact of Ly6C Low Monocytes After Cerebral Hypoxia-Ischemia in Adult Mice. J Cereb Blood Flow Metab (2014) 34:e1–9. doi: 10.1038/jcbfm.2014.80

  • CrossRef
  • Google Scholar

• 11

  RitzelRMPatelARGrenierJMCrapserJVermaRJellisonERet al. Functional Differences Between Microglia and Monocytes After Ischemic Stroke. J Neuroinflamm (2015) 12:106. doi: 10.1186/s12974-015-0329-1

  • CrossRef
  • Google Scholar

• 12

  Miró-MurFPérez-de-PuigIFerrer-FerrerMUrraXJusticiaCChamorroAet al. Immature Monocytes Recruited to the Ischemic Mouse Brain Differentiate Into Macrophages With Features of Alternative Activation. Brain Behav Immun (2016) 53:18–33. doi: 10.1016/j.bbi.2015.08.010

  • CrossRef
  • Google Scholar

• 13

  WattananitSTorneroXDGraubardtNMemanishviliXTMonniETatarishviliJet al. Monocyte-Derived Macrophages Contribute to Spontaneous Long-Term Functional Recovery After Stroke in Mice. J Neurosci (2016) 36:4182–95. doi: 10.1523/JNEUROSCI.4317-15.2016

  • CrossRef
  • Google Scholar

• 14

  Gomez PerdigueroEKlapprothKSchulzCBuschKAzzoniECrozetLet al. Tissue-Resident Macrophages Originate From Yolk-Sac-Derived Erythro-Myeloid Progenitors. Nature (2015) 518:547–51. doi: 10.1038/nature13989

  • CrossRef
  • Google Scholar

• 15

  PerryVHNicollJARHolmesC. Microglia in Neurodegenerative Disease. Nat Rev Neurol (2010) 6:193–201. doi: 10.1038/nrneurol.2010.17

  • CrossRef
  • Google Scholar

• 16

  YangIHanSJKaurGCraneCParsaAT. The Role of Microglia in Central Nervous System Immunity and Glioma Immunology. J Clin Neurosci (2010) 17:6–10. doi: 10.1016/j.jocn.2009.05.006

  • CrossRef
  • Google Scholar

• 17

  SantosENDouglas FieldsR. Regulation of Myelination by Microglia. Sci Adv (2021) 7:eabk1131. doi: 10.1126/sciadv.abk1131

  • CrossRef
  • Google Scholar

• 18

  SzalayGMartineczBLénártNKörnyeiZOrsolitsBJudákLet al. Microglia Protect Against Brain Injury and Their Selective Elimination Dysregulates Neuronal Network Activity After Stroke. Nat Commun (2016) 7:11499. doi: 10.1038/ncomms11499

  • CrossRef
  • Google Scholar

• 19

  MorrisonHWFilosaJA. A Quantitative Spatiotemporal Analysis of Microglia Morphology During Ischemic Stroke and Reperfusion. J Neuroinflamm (2013) 10:4. doi: 10.1186/1742-2094-10-4

  • CrossRef
  • Google Scholar

• 20

  NimmerjahnAKirchhoffFHelmchenF. Resting Microglial Cells are Highly Dynamic Surveillants of Brain Parenchyma In Vivo. Science (2005) 308:1314–8. doi: 10.1126/science.1110647

  • CrossRef
  • Google Scholar

• 21

  GülkeEGelderblomMMagnusT. Danger Signals in Stroke and Their Role on Microglia Activation After Ischemia. Ther Adv Neurol Disord (2018) 11:1756286418774254. doi: 10.1177/1756286418774254

  • CrossRef
  • Google Scholar

• 22

  AnttilaJEWhitakerKWWiresESHarveyBKAiravaaraM. Role of Microglia in Ischemic Focal Stroke and Recovery: Focus on Toll-Like Receptors. Prog Neuropsychopharmacol Biol Psychiatry (2017) 79:3–14. doi: 10.1016/j.pnpbp.2016.07.003

  • CrossRef
  • Google Scholar

• 23

  WangYCLinSYangQW. Toll-Like Receptors in Cerebral Ischemic Inflammatory Injury. J Neuroinflamm (2011) 8:134. doi: 10.1186/1742-2094-8-134

  • CrossRef
  • Google Scholar

• 24

  GallowayDAPhillipsAEMOwenDRJMooreCS. Phagocytosis in the Brain: Homeostasis and Disease. Front Immunol (2019) 10:790. doi: 10.3389/fimmu.2019.00790

  • CrossRef
  • Google Scholar

• 25

  DasRChinnathambiS. Actin-Mediated Microglial Chemotaxis via G-Protein Coupled Purinergic Receptor in Alzheimer’s Disease. Neuroscience (2020) 448:325–36. doi: 10.1016/j.neuroscience.2020.09.024

  • CrossRef
  • Google Scholar

• 26

  BachillerSJiménez-FerrerIPaulusAYangYSwanbergMDeierborgTet al. Microglia in Neurological Diseases: A Road Map to Brain-Disease Dependent-Inflammatory Response. Front Cell Neurosci (2018) 12:488. doi: 10.3389/fncel.2018.00488

  • CrossRef
  • Google Scholar

• 27

  BartelsTde SchepperSHongS. Microglia Modulate Neurodegeneration in Alzheimer’s and Parkinson’s Diseases. Science (2020) 370:66–9. doi: 10.1126/science.abb8587

  • CrossRef
  • Google Scholar

• 28

  ChristopherELoanJJMSamarasekeraNMcDadeKRoseJBarringtonJet al. Nrf2 Activation in the Human Brain After Stroke Due to Supratentorial Intracerebral Haemorrhage: A Case-Control Study. BMJ Neurol Open (2022) 4:e000238. doi: 10.1136/bmjno-2021-000238

  • CrossRef
  • Google Scholar

• 29

  WangYHuangYXuYRuanWWangHZhangYet al. A Dual AMPK/Nrf2 Activator Reduces Brain Inflammation After Stroke by Enhancing Microglia M2 Polarization. Antioxid Redox Signal (2018) 28:141–63. doi: 10.1089/ars.2017.7003

  • CrossRef
  • Google Scholar

• 30

  LeiXLiHLiMDongQZhaoHZhangZet al. The Novel Nrf2 Activator CDDO-EA Attenuates Cerebral Ischemic Injury by Promoting Microglia/Macrophage Polarization Toward M2 Phenotype in Mice. CNS Neurosci Ther (2021) 27:82–91. doi: 10.1111/cns.13496

  • CrossRef
  • Google Scholar

• 31

  ŚlusarczykJTrojanEGlombikKPiotrowskaABudziszewskaBKuberaMet al. Targeting the NLRP3 Inflammasome-Related Pathways via Tianeptine Treatment-Suppressed Microglia Polarization to the M1 Phenotype in Lipopolysaccharide-Stimulated Cultures. Int J Mol Sci (2018) 19:1965. doi: 10.3390/ijms19071965

  • CrossRef
  • Google Scholar

• 32

  AryanpourRPasbakhshPZibaraKNamjooZBeigi BoroujeniFShahbeigiSet al. Progesterone Therapy Induces an M1 to M2 Switch in Microglia Phenotype and Suppresses NLRP3 Inflammasome in a Cuprizone-Induced Demyelination Mouse Model. Int Immunopharmacol (2017) 51:131–9. doi: 10.1016/j.intimp.2017.08.007

  • CrossRef
  • Google Scholar

• 33

  MasudaTSankowskiRStaszewskiOPrinzM. Microglia Heterogeneity in the Single-Cell Era. Cell Rep (2020) 30:1271–81. doi: 10.1016/j.celrep.2020.01.010

  • CrossRef
  • Google Scholar

• 34

  FrancoRFernandez-SuarezD. Alternatively Activated Microglia and Macrophages in the Central Nervous System. Prog Neurobiol (2015) 131:65–86. doi: 10.1016/j.pneurobio.2015.05.003

  • CrossRef
  • Google Scholar

• 35

  SchulzCPerdigueroEGChorroLSzabo-RogersHCagnardNKierdorfKet al. A Lineage of Myeloid Cells Independent of Myb and Hematopoietic Stem Cells. Science (2012) 336:86–90. doi: 10.1126/science.1219179

  • CrossRef
  • Google Scholar

• 36

  PittetMJNahrendorfMSwirskiFK. The Journey From Stem Cell to Macrophage. Ann N Y Acad Sci (2014) 1319:1–18. doi: 10.1111/nyas.12393

  • CrossRef
  • Google Scholar

• 37

  MosserDMHamidzadehKGoncalvesR. Macrophages and the Maintenance of Homeostasis. Cell Mol Immunol (2021) 18:579–87. doi: 10.1038/s41423-020-00541-3

  • CrossRef
  • Google Scholar

• 38

  SicaAMantovaniA. Macrophage Plasticity and Polarization: In Vivo Veritas. J Clin Invest (2012) 122:787–95. doi: 10.1172/JCI59643

  • CrossRef
  • Google Scholar

• 39

  PollardJW. Trophic Macrophages in Development and Disease. Nat Rev Immunol (2009) 9:259–70. doi: 10.1038/nri2528

  • CrossRef
  • Google Scholar

• 40

  MurrayPJWynnTA. Protective and Pathogenic Functions of Macrophage Subsets. Nat Rev Immunol (2011) 11:723–37. doi: 10.1038/nri3073

  • CrossRef
  • Google Scholar

• 41

  LiQBarresBA. Microglia and Macrophages in Brain Homeostasis and Disease. Nat Rev Immunol (2018) 18:225–42. doi: 10.1038/nri.2017.125

  • CrossRef
  • Google Scholar

• 42

  van WageningenTAVlaarEKooijGJongenelenCAMGeurtsJJGvan DamAM. Regulation of Microglial TMEM119 and P2RY12 Immunoreactivity in Multiple Sclerosis White and Grey Matter Lesions is Dependent on Their Inflammatory Environment. Acta Neuropathol Commun (2019) 7:206. doi: 10.1186/s40478-019-0850-z

  • CrossRef
  • Google Scholar

• 43

  AmiciSADongJGuerau-de-ArellanoM. Molecular Mechanisms Modulating the Phenotype of Macrophages and Microglia. Front Immunol (2017) 8:1520. doi: 10.3389/fimmu.2017.01520

  • CrossRef
  • Google Scholar

• 44

  Ziegler-HeitbrockLAncutaPCroweSDalodMGrauVHartDNet al. Nomenclature of Monocytes and Dendritic Cells in Blood. Blood (2010) 116:e74–80. doi: 10.1182/blood-2010-02-258558

  • CrossRef
  • Google Scholar

• 45

  Grage-GriebenowEZawatzkyRKahlertHBradeLFladH-DErnstM. Identification of a Novel Dendritic Cell-Like Subset of CD64 + /CD16 + Blood Monocytes. Eur J Immunol (2001) 31:48–56. doi: 10.1002/1521-4141(200101)31:1<48::aid-immu48>3.0.co;2-5

  • CrossRef
  • Google Scholar

• 46

  Grage-GriebenowEFladH-DErnstM. Heterogeneity of Human Peripheral Blood Monocyte Subsets. J Leukoc Biol (2001) 69:11–20. doi: 10.1189/jlb.69.1.11

  • CrossRef
  • Google Scholar

• 47

  AuffrayCSiewekeMHGeissmannF. Blood Monocytes: Development, Heterogeneity, and Relationship With Dendritic Cells. Annu Rev Immunol (2009) 27:669–92. doi: 10.1146/annurev.immunol.021908.132557

  • CrossRef
  • Google Scholar

• 48

  KapellosTSBonaguroLGemündIReuschNSaglamAHinkleyERet al. Human Monocyte Subsets and Phenotypes in Major Chronic Inflammatory Diseases. Front Immunol (2019) 10:2035. doi: 10.3389/fimmu.2019.02035

  • CrossRef
  • Google Scholar

• 49

  ShiCPamerEG. Monocyte Recruitment During Infection and Inflammation. Nat Rev Immunol (2011) 11:762–74. doi: 10.1038/nri3070

  • CrossRef
  • Google Scholar

• 50

  GeissmannFJungSLittmanDR. Blood Monocytes Consist of Two Principal Subsets With Distinct Migratory Properties. Immunity (2003) 19:71–82. doi: 10.1016/s1074-7613(03)00174-2

  • CrossRef
  • Google Scholar

• 51

  HannaRNCarlinLMHubbelingHGNackiewiczDGreenAMPuntJAet al. The Transcription Factor NR4A1 (Nur77) Controls Bone Marrow Differentiation and the Survival of Ly6C- Monocytes. Nat Immunol (2011) 12:778–85. doi: 10.1038/ni.2063

  • CrossRef
  • Google Scholar

• 52

  IngersollMASpanbroekRLottazCGautierELFrankenbergerMHoffmannRet al. Comparison of Gene Expression Profiles Between Human and Mouse Monocyte Subsets. Blood (2010) 115:e10–9. doi: 10.1182/blood-2009-07-235028

  • CrossRef
  • Google Scholar

• 53

  GinhouxFJungS. Monocytes and Macrophages: Developmental Pathways and Tissue Homeostasis. Nat Rev Immunol (2014) 14:392–404. doi: 10.1038/nri3671

  • CrossRef
  • Google Scholar

• 54

  ThériaultPElaliARivestS. The Dynamics of Monocytes and Microglia in Alzheimer’s Disease. Alzheimers Res Ther (2015) 7:41. doi: 10.1186/s13195-015-0125-2

  • CrossRef
  • Google Scholar

• 55

  PalframanRTJungSChengGWeningerWLuoYDorfMet al. Inflammatory Chemokine Transport and Presentation in HEV: A Remote Control Mechanism for Monocyte Recruitment to Lymph Nodes in Inflamed Tissues. J Exp Med (2001) 194:1361–73. doi: 10.1084/jem.194.9.1361

  • CrossRef
  • Google Scholar

• 56

  PasslickBFliegerDZiegler-HeitbrockHW. Identification and Characterization of a Novel Monocyte Subpopulation in Human Peripheral Blood. Blood (1989) 74:2527–34. doi: 10.1182/blood.V74.7.2527.2527

  • CrossRef
  • Google Scholar

• 57

  AuffrayCFoggDGarfaMElainGJoin-LambertOKayalSet al. Monitoring of Blood Vessels and Tissues by a Population of Monocytes With Patrolling Behavior. Science (2007) 317:666–70. doi: 10.1126/science.1142883

  • CrossRef
  • Google Scholar

• 58

  StoweAMWackerBKCravensPDPerfaterJLLiMKHuRet al. CCL2 Upregulation Triggers Hypoxic Preconditioning-Induced Protection From Stroke. J Neuroinflamm (2012) 9:33. doi: 10.1186/1742-2094-9-33

  • CrossRef
  • Google Scholar

• 59

  TsouCLPetersWSiYSlaymakerSAslanianAMWeisbergSPet al. Critical Roles for CCR2 and MCP-3 in Monocyte Mobilization From Bone Marrow and Recruitment to Inflammatory Sites. J Clin Invest (2007) 117:902–9. doi: 10.1172/JCI29919

  • CrossRef
  • Google Scholar

• 60

  KaufmannASalentinRGemsaDSprengerH. Increase of CCR1 and CCR5 Expression and Enhanced Functional Response to MIP-1α During Differentiation of Human Monocytes to Macrophages. J Leukoc Biol (2001) 69:248–52. doi: 10.1189/jlb.69.2.248

  • CrossRef
  • Google Scholar

• 61

  CharoIFRansohoffRM. The Many Roles of Chemokines and Chemokine Receptors in Inflammation. N Engl J Med (2006) . 354:610–21. doi: 10.1056/NEJMra052723

  • CrossRef
  • Google Scholar

• 62

  TackeFAlvarezDKaplanTJJakubzickCSpanbroekRLlodraJet al. Monocyte Subsets Differentially Employ CCR2, CCR5, and CX3CR1 to Accumulate Within Atherosclerotic Plaques. J Clin Invest (2007) 117:185–94. doi: 10.1172/JCI28549

  • CrossRef
  • Google Scholar

• 63

  BalashovKERottmanJBWeinerHLHancockWW. CCR5 and CXCR3 T Cells are Increased in Multiple Sclerosis and Their Ligands MIP-1 and IP-10 are Expressed in Demyelinating Brain Lesions. Proc Natl Acad Sci U S A (1999) 96:6873–8. doi: 10.1073/pnas.96.12.6873

  • CrossRef
  • Google Scholar

• 64

  RavindranRRuschLItanoAJenkinsMKMcsorleySJ. CCR6-Dependent Recruitment of Blood Phagocytes is Necessary for Rapid CD4 T Cell Responses to Local Bacterial Infection. Proc Natl Acad Sci U S A (2007) 104:12075–80. doi: 10.1073/pnas.0701363104

  • CrossRef
  • Google Scholar

• 65

  QuCEdwardsEWTackeFAngeliVLlodráJSanchez-SchmitzGet al. Role of CCR8 and Other Chemokine Pathways in the Migration of Monocyte-Derived Dendritic Cells to Lymph Nodes. J Exp Med (2004) 200:1231–41. doi: 10.1084/jem.20032152

  • CrossRef
  • Google Scholar

• 66

  TackeF. Functional Role of Intrahepatic Monocyte Subsets for the Progression of Liver Inflammation and Liver Fibrosis In Vivo. Fibrogenesis Tissue Repair (2012) 5:S27. doi: 10.1186/1755-1536-5-S1-S27

  • CrossRef
  • Google Scholar

• 67

  RosenHGordonS. Monoclonal Antibody to the Murine Type 3 Complement Receptor Inhibits Adhesion of Myelomonocytic Cells In Vitro and Inflammatory Cell Recruitment In Vivo. J Exp Med (1987) 166:1685–701. doi: 10.1084/jem.166.6.1685

  • CrossRef
  • Google Scholar

• 68

  LeónBArdavínC. Monocyte Migration to Inflamed Skin and Lymph Nodes is Differentially Controlled by L-Selectin and PSGL-1. Blood (2008) 111:3126–30. doi: 10.1182/blood-2007-07-100610

  • CrossRef
  • Google Scholar

• 69

  SunDZhangMSunPLiuGStricklandABChenYet al. VCAM1/VLA4 Interaction Mediates Ly6Clow Monocyte Recruitment to the Brain in a TNFR Signaling Dependent Manner During Fungal Infection. PLoS Pathog (2020) 16:e1008361. doi: 10.1371/journal.ppat.1008361

  • CrossRef
  • Google Scholar

• 70

  TedderTFSteeberDAPizcuetaP. L-Selectin-Deficient Mice Have Impaired Leukocyte Recruitment Into Inflammatory Sites. J Exp Med (1995) 181:2259–64. doi: 10.1084/jem.181.6.2259

  • CrossRef
  • Google Scholar

• 71

  YangJZhangLYuCYangXFWangH. Monocyte and Macrophage Differentiation: Circulation Inflammatory Monocyte as Biomarker for Inflammatory Diseases. biomark Res (2014) 2:1. doi: 10.1186/2050-7771-2-1

  • CrossRef
  • Google Scholar

• 72

  GliemMMausbergAKLeeJISimiantonakisIvan RooijenNHartungHPet al. Macrophages Prevent Hemorrhagic Infarct Transformation in Murine Stroke Models. Ann Neurol (2012) 71:743–52. doi: 10.1002/ana.23529

  • CrossRef
  • Google Scholar

• 73

  XueJSchmidtSVSanderJDraffehnAKrebsWQuesterIet al. Transcriptome-Based Network Analysis Reveals a Spectrum Model of Human Macrophage Activation. Immunity (2014) 40:274–88. doi: 10.1016/j.immuni.2014.01.006

  • CrossRef
  • Google Scholar

• 74

  SchulzDSeverinYZanotelliVRTBodenmillerB. In-Depth Characterization of Monocyte-Derived Macrophages Using a Mass Cytometry-Based Phagocytosis Assay. Sci Rep (2019) 9:1925. doi: 10.1038/s41598-018-38127-9

  • CrossRef
  • Google Scholar

• 75

  Garcia-BonillaLFaracoGMooreJMurphyMRacchumiGSrinivasanJet al. Spatio-Temporal Profile, Phenotypic Diversity, and Fate of Recruited Monocytes Into the Post-Ischemic Brain. J Neuroinflamm (2016) 13:285. doi: 10.1186/s12974-016-0750-0

  • CrossRef
  • Google Scholar

• 76

  Belov KirdajovaDKriskaJTureckovaJAnderovaM. Ischemia-Triggered Glutamate Excitotoxicity From the Perspective of Glial Cells. Front Cell Neurosci (2020) 14:51. doi: 10.3389/fncel.2020.00051

  • CrossRef
  • Google Scholar

• 77

  YanuckSF. Microglial Phagocytosis of Neurons: Diminishing Neuronal Loss in Traumatic, Infectious, Inflammatory, and Autoimmune CNS Disorders. Front Psychiatry (2019) 10:712. doi: 10.3389/fpsyt.2019.00712

  • CrossRef
  • Google Scholar

• 78

  YuLSuXLiSZhaoFMuDQuY. Microglia and Their Promising Role in Ischemic Brain Injuries: An Update. Front Cell Neurosci (2020) 14:211. doi: 10.3389/fncel.2020.00211

  • CrossRef
  • Google Scholar

• 79

  ItoDTanakaKSuzukiSDemboTFukuuchiY. Enhanced Expression of Iba1, Ionized Calcium-Binding Adapter Molecule 1, After Transient Focal Cerebral Ischemia in Rat Brain. Stroke (2001) 32:1208–15. doi: 10.1161/01.str.32.5.1208

  • CrossRef
  • Google Scholar

• 80

  GelosaPLeccaDFumagalliMWypychDPignieriACiminoMet al. Microglia is a Key Player in the Reduction of Stroke Damage Promoted by the New Antithrombotic Agent Ticagrelor. J Cereb Blood Flow Metab (2014) 34:979–88. doi: 10.1038/jcbfm.2014.45

  • CrossRef
  • Google Scholar

• 81

  FanYXieLChungCY. Signaling Pathways Controlling Microglia Chemotaxis. Mol Cells (2017) 40:163–8. doi: 10.14348/molcells.2017.0011

  • CrossRef
  • Google Scholar

• 82

  TangYLeW. Differential Roles of M1 and M2 Microglia in Neurodegenerative Diseases. Mol Neurobiol (2016) 53:1181–94. doi: 10.1007/s12035-014-9070-5

  • CrossRef
  • Google Scholar

• 83

  JurgaAMPalecznaMKuterKZ. Overview of General and Discriminating Markers of Differential Microglia Phenotypes. Front Cell Neurosci (2020) 14:198. doi: 10.3389/fncel.2020.00198

  • CrossRef
  • Google Scholar

• 84

  TaylorRASansingLH. Microglial Responses After Ischemic Stroke and Intracerebral Hemorrhage. Clin Dev Immunol (2013) 2013:746068. doi: 10.1155/2013/746068

  • CrossRef
  • Google Scholar

• 85

  RupallaKAllegriniPRSauerDWiessnerC. Time Course of Microglia Activation and Apoptosis in Various Brain Regions After Permanent Focal Cerebral Ischemia in Mice. Acta Neuropathol (1998) 96:172–8. doi: 10.1007/s004010050878

  • CrossRef
  • Google Scholar

• 86

  KoizumiTKerkhofsDMizunoTSteinbuschHWMFoulquierS. Vessel-Associated Immune Cells in Cerebrovascular Diseases: From Perivascular Macrophages to Vessel-Associated Microglia. Front Neurosci (2019) 13:1291. doi: 10.3389/fnins.2019.01291

  • CrossRef
  • Google Scholar

• 87

  HaruwakaKIkegamiATachibanaYOhnoNKonishiHHashimotoAet al. Dual Microglia Effects on Blood Brain Barrier Permeability Induced by Systemic Inflammation. Nat Commun (2019) 10:5816. doi: 10.1038/s41467-019-13812-z

  • CrossRef
  • Google Scholar

• 88

  JolivelVBickerFBinaméFPloenRKellerSGollanRet al. Perivascular Microglia Promote Blood Vessel Disintegration in the Ischemic Penumbra. Acta Neuropathol (2015) 129:279–95. doi: 10.1007/s00401-014-1372-1

  • CrossRef
  • Google Scholar

• 89

  MurphySJMcCulloughLDSmithJM. Stroke in the Female: Role of Biological Sex and Estrogen. ILAR J (2004) 45:147–59. doi: 10.1093/ilar.45.2.147

  • CrossRef
  • Google Scholar

• 90

  SpychalaMSHonarpishehPMcCulloughLD. Sex Differences in Neuroinflammation and Neuroprotection in Ischemic Stroke. J Neurosci Res (2017) 95:462–71. doi: 10.1002/jnr.23962

  • CrossRef
  • Google Scholar

• 91

  VillaAGelosaPCastiglioniLCiminoMRizziNPepeGet al. Sex-Specific Features of Microglia From Adult Mice. Cell Rep (2018) 23:3501–11. doi: 10.1016/j.celrep.2018.05.048

  • CrossRef
  • Google Scholar

• 92

  ZhaoSCWangCXuHWuWQChuZHMaLSet al. Age-Related Differences in Interferon Regulatory Factor-4 and -5 Signaling in Ischemic Brains of Mice. Acta Pharmacol Sin (2017) 38:1425–34. doi: 10.1038/aps.2017.122

  • CrossRef
  • Google Scholar

• 93

  FennAMHenryCJHuangYDuganAGodboutJP. Lipopolysaccharide-Induced Interleukin (IL)-4 Receptor-α Expression and Corresponding Sensitivity to the M2 Promoting Effects of IL-4 are Impaired in Microglia of Aged Mice. Brain Behav Immun (2012) 26:766–77. doi: 10.1016/j.bbi.2011.10.003

  • CrossRef
  • Google Scholar

• 94

  MildnerAMacKMSchmidtHBrückWDjukicMZabelMDet al. CCR2+Ly-6Chi Monocytes are Crucial for the Effector Phase of Autoimmunity in the Central Nervous System. Brain (2009) 132:2487–500. doi: 10.1093/brain/awp144

  • CrossRef
  • Google Scholar

• 95

  SerbinaNvPamerEG. Monocyte Emigration From Bone Marrow During Bacterial Infection Requires Signals Mediated by Chemokine Receptor CCR2. Nat Immunol (2006) 7:311–7. doi: 10.1038/ni1309

  • CrossRef
  • Google Scholar

• 96

  KimEYangJBeltranCDChoS. Role of Spleen-Derived Monocytes/Macrophages in Acute Ischemic Brain Injury. J Cereb Blood Flow Metab (2014) 34:1411–9. doi: 10.1038/jcbfm.2014.101

  • CrossRef
  • Google Scholar

• 97

  NadareishviliZSimpkinsANHitomiEReyesDLeighR. Post-Stroke Blood-Brain Barrier Disruption and Poor Functional Outcome in Patients Receiving Thrombolytic Therapy. Cerebrovasc Dis (2019) 47:135–42. doi: 10.1159/000499666

  • CrossRef
  • Google Scholar

• 98

  YangYRosenbergGA. Blood-Brain Barrier Breakdown in Acute and Chronic Cerebrovascular Disease. Stroke (2011) 42:3323–8. doi: 10.1161/STROKEAHA.110.608257

  • CrossRef
  • Google Scholar

• 99

  SuYGaoJKaurPWangZ. Neutrophils and Macrophages as Targets for Development of Nanotherapeutics in Inflammatory Diseases. Pharmaceutics (2020) 12:1222. doi: 10.3390/pharmaceutics12121222

  • CrossRef
  • Google Scholar

• 100

  YilmazGGrangerDN. Cell Adhesion Molecules and Ischemic Stroke. Neurol Res (2008) 30:783–93. doi: 10.1179/174313208X341085

  • CrossRef
  • Google Scholar

• 101

  GeRTorneroDHirotaMMonniELaterzaCLindvallOet al. Choroid Plexus-Cerebrospinal Fluid Route for Monocyte-Derived Macrophages After Stroke. J Neuroinflamm (2017) 14:153. doi: 10.1186/s12974-017-0909-3

  • CrossRef
  • Google Scholar

• 102

  WernerYMassEAshok KumarPUlasTHandlerKHorneAet al. Cxcr4 Distinguishes HSC-Derived Monocytes From Microglia and Reveals Monocyte Immune Responses to Experimental Stroke. Nat Neurosci (2020) 23:351–62. doi: 10.1038/s41593-020-0585-y

  • CrossRef
  • Google Scholar

• 103

  PeregoCFumagalliSDe SimoniMG. Temporal Pattern of Expression and Colocalization of Microglia/Macrophage Phenotype Markers Following Brain Ischemic Injury in Mice. J Neuroinflamm (2011) 8:174. doi: 10.1186/1742-2094-8-174

  • CrossRef
  • Google Scholar

• 104

  HuXLiPGuoYWangHLeakRKChenSet al. Microglia/macrophage Polarization Dynamics Reveal Novel Mechanism of Injury Expansion After Focal Cerebral Ischemia. Stroke (2012) 43:3063–70. doi: 10.1161/STROKEAHA.112.659656

  • CrossRef
  • Google Scholar

• 105

  CaiWYangTLiuHHanLZhangKHuXet al. Peroxisome Proliferator-Activated Receptor Gamma (PPARgamma): A Master Gatekeeper in CNS Injury and Repair. Prog Neurobiol (2018) 163-164:27–58. doi: 10.1016/j.pneurobio.2017.10.002

  • CrossRef
  • Google Scholar

• 106

  MoriSMaherPContiB. Neuroimmunology of the Interleukins 13 and 4. Brain Sci (2016) 6:18. doi: 10.3390/brainsci6020018

  • CrossRef
  • Google Scholar

• 107

  LyuJXieDBhatiaTNLeakRKHuXJiangX. Microglial/Macrophage Polarization and Function in Brain Injury and Repair After Stroke. CNS Neurosci Ther (2021) 27:515–27. doi: 10.1111/cns.13620

  • CrossRef
  • Google Scholar

• 108

  LianLZhangYLiuLYangLCaiYZhangJet al. Neuroinflammation in Ischemic Stroke: Focus on MicroRNA-Mediated Polarization of Microglia. Front Mol Neurosci (2020) 13:612439110. doi: 10.3389/fnmol.2020.612439110

  • CrossRef
  • Google Scholar

• 109

  JiangCTWuWFDengYHGeJW. Modulators of Microglia Activation and Polarization in Ischemic Stroke (Review). Mol Med Rep (2020) 21:2006–18. doi: 10.3892/mmr.2020.11003

  • CrossRef
  • Google Scholar

• 110

  GaireBP. Microglia as the Critical Regulators of Neuroprotection and Functional Recovery in Cerebral Ischemia. Cell Mol Neurobiol (2021) 1–21. doi: 10.1007/s10571-021-01145-9

  • CrossRef
  • Google Scholar

• 111

  RaffaeleSGelosaPBonfantiELombardiMCastiglioniLCiminoMet al. Microglial Vesicles Improve Post-Stroke Recovery by Preventing Immune Cell Senescence and Favoring Oligodendrogenesis. Mol Ther (2021) 29:1439–58. doi: 10.1016/j.ymthe.2020.12.009

  • CrossRef
  • Google Scholar

• 112

  LiuTZhangLJooDSunSC. NF-kappaB Signaling in Inflammation. Signal Transduct Target Ther (2017) 2:17023. doi: 10.1038/sigtrans.2017.23

  • CrossRef
  • Google Scholar

• 113

  YuFHuangTRanYLiDYeLTianGet al. New Insights Into the Roles of Microglial Regulation in Brain Plasticity-Dependent Stroke Recovery. Front Cell Neurosci (2021) 15:727899. doi: 10.3389/fncel.2021.727899

  • CrossRef
  • Google Scholar

• 114

  GerhardASchwarzJMyersRWiseRBanatiRB. Evolution of Microglial Activation in Patients After Ischemic Stroke: A [11C](R)-PK11195 PET Study. Neuroimage (2005) 24:591–5. doi: 10.1016/j.neuroimage.2004.09.034

  • CrossRef
  • Google Scholar

• 115

  DongRHuangRWangJLiuHXuZ. Effects of Microglial Activation and Polarization on Brain Injury After Stroke. Front Neurol (2021) 12:620948. doi: 10.3389/fneur.2021.620948

  • CrossRef
  • Google Scholar

• 116

  ElAliALeBlancNJ. The Role of Monocytes in Ischemic Stroke Pathobiology: New Avenues to Explore. Front Aging Neurosci (2016) 8:29. doi: 10.3389/fnagi.2016.00029

  • CrossRef
  • Google Scholar

• 117

  KaitoMArayaS-IGondoYFujitaMMinatoNNakanishiMet al. Relevance of Distinct Monocyte Subsets to Clinical Course of Ischemic Stroke Patients. PLoS One (2013) 8:e69409. doi: 10.1371/journal.pone.0069409

  • CrossRef
  • Google Scholar

• 118

  CherryJDOlschowkaJAO’BanionMK. Neuroinflammation and M2 Microglia: The Good, the Bad, and the Inflamed. J Neuroinflamm (2014) 11:98. doi: 10.1186/1742-2094-11-98

  • CrossRef
  • Google Scholar

• 119

  HouDWangCYeXZhongPWuD. Persistent Inflammation Worsens Short-Term Outcomes in Massive Stroke Patients. BMC Neurol (2021) 21:62. doi: 10.1186/s12883-021-02097-9

  • CrossRef
  • Google Scholar

• 120

  WierońskaJMCieslikPKalinowskiL. Nitric Oxide-Dependent Pathways as Critical Factors in the Consequences and Recovery After Brain Ischemic Hypoxia. Biomolecules (2021) 11:1097. doi: 10.3390/biom11081097

  • CrossRef
  • Google Scholar

• 121

  BennettMLBennettFCLiddelowSAAjamiBZamanianJLFernhoffNBet al. New Tools for Studying Microglia in the Mouse and Human CNS. Proc Natl Acad Sci U S A (2016) 113:E1738–46. doi: 10.1073/pnas.1525528113

  • CrossRef
  • Google Scholar

• 122

  BreckwoldtMOChenJWStangenbergLAikawaERodriguezEQiuSet al. Tracking the Inflammatory Response in Stroke In Vivo by Sensing the Enzyme Myeloperoxidase. Proc Natl Acad Sci U S A (2008) 105:18584–9. doi: 10.1073/pnas.0803945105

  • CrossRef
  • Google Scholar

• 123

  TanakaRKomine-KobayashiMMochizukiHYamadaMFuruyaTMigitaMet al. Migration of Enhanced Green Fluorescent Protein Expressing Bone Marrow-Derived Microglia/Macrophage Into the Mouse Brain Following Permanent Focal Ischemia. Neuroscience (2003) 117:531–9. doi: 10.1016/s0306-4522(02)00954-5

  • CrossRef
  • Google Scholar

• 124

  SchillingMBesselmannMMullerMStreckerJKRingelsteinEBKieferR. Predominant Phagocytic Activity of Resident Microglia Over Hematogenous Macrophages Following Transient Focal Cerebral Ischemia: An Investigation Using Green Fluorescent Protein Transgenic Bone Marrow Chimeric Mice. Exp Neurol (2005) 196:290–7. doi: 10.1016/j.expneurol.2005.08.004

  • CrossRef
  • Google Scholar

• 125

  SchillingMStreckerJKSchabitzWRRingelsteinEBKieferR. Effects of Monocyte Chemoattractant Protein 1 on Blood-Borne Cell Recruitment After Transient Focal Cerebral Ischemia in Mice. Neuroscience (2009) 161:806–12. doi: 10.1016/j.neuroscience.2009.04.025

  • CrossRef
  • Google Scholar

• 126

  PetryKGBoiziauCDoussetVBrochetB. Magnetic Resonance Imaging of Human Brain Macrophage Infiltration. Neurotherapeutics (2007) 4:434–42. doi: 10.1016/j.nurt.2007.05.005

  • CrossRef
  • Google Scholar

• 127

  CraneMJDaleyJMvan HoutteOBrancatoSKHenryWLJr.AlbinaJE. The Monocyte to Macrophage Transition in the Murine Sterile Wound. PLoS One (2014) 9:e86660. doi: 10.1371/journal.pone.0086660

  • CrossRef
  • Google Scholar

• 128

  SachetMLiangYYOehlerR. The Immune Response to Secondary Necrotic Cells. Apoptosis (2017) 22:1189–204. doi: 10.1007/s10495-017-1413-z

  • CrossRef
  • Google Scholar

• 129

  GreenhalghADZarrukJGHealyLMBaskar JesudasanSJJhelumPSalmonCKet al. Peripherally Derived Macrophages Modulate Microglial Function to Reduce Inflammation After CNS Injury. PLoS Biol (2018) 16:e2005264. doi: 10.1371/journal.pbio.2005264

  • CrossRef
  • Google Scholar

• 130

  KolosowskaNKeutersMHWojciechowskiSKeksa-GoldsteineVLaineMMalmTet al. Peripheral Administration of IL-13 Induces Anti-Inflammatory Microglial/Macrophage Responses and Provides Neuroprotection in Ischemic Stroke. Neurotherapeutics (2019) 16:1304–19. doi: 10.1007/s13311-019-00761-0

  • CrossRef
  • Google Scholar

• 131

  ZhangWZhaoJWangRJiangMYeQSmithADet al. Macrophages Reprogram After Ischemic Stroke and Promote Efferocytosis and Inflammation Resolution in the Mouse Brain. CNS Neurosci Ther (2019) 25:1329–42. doi: 10.1111/cns.13256

  • CrossRef
  • Google Scholar

• 132

  ShechterRLondonAVarolCRaposoCCusimanoMYovelGet al. Infiltrating Blood-Derived Macrophages are Vital Cells Playing an Anti-Inflammatory Role in Recovery From Spinal Cord Injury in Mice. PLoS Med (2009) 6:e1000113. doi: 10.1371/journal.pmed.1000113

  • CrossRef
  • Google Scholar

• 133

  FangWZhaiXHanDXiongXWangTZengXet al. CCR2-Dependent Monocytes/Macrophages Exacerbate Acute Brain Injury But Promote Functional Recovery After Ischemic Stroke in Mice. Theranostics (2018) 8:3530–43. doi: 10.7150/thno.24475

  • CrossRef
  • Google Scholar

• 134

  MaYLiYJiangLWangLJiangZWangYet al. Macrophage Depletion Reduced Brain Injury Following Middle Cerebral Artery Occlusion in Mice. J Neuroinflamm (2016) 13:38. doi: 10.1186/s12974-016-0504-z

  • CrossRef
  • Google Scholar

• 135

  HammondMDTaylorRAMullenMTAiYAguilaHLMackMet al. CCR2+ Ly6C(hi) Inflammatory Monocyte Recruitment Exacerbates Acute Disability Following Intracerebral Hemorrhage. J Neurosci (2014) 34:3901–9. doi: 10.1523/JNEUROSCI.4070-13.2014

  • CrossRef
  • Google Scholar

• 136

  KanazawaMTakahashiTIshikawaMOnoderaOShimohataTDel ZoppoGJ. Angiogenesis in the Ischemic Core: A Potential Treatment Target? J Cereb Blood Flow Metab (2019) 39:753–69. doi: 10.1177/0271678X19834158

  • CrossRef
  • Google Scholar

• 137

  JungH-Y. Rehabilitation in Subacute and Chronic Stage After Stroke. In: Stroke Revisited: Diagnosis and Treatment of Ischemic Stroke. Singapore: Springer (2017). p. 351–60.

  • Google Scholar

• 138

  SzelenbergerRKostkaJSaluk-BijakJMillerE. Pharmacological Interventions and Rehabilitation Approach for Enhancing Brain Self-Repair and Stroke Recovery. Curr Neuropharmacol (2020) 18:51–64. doi: 10.2174/1570159X17666190726104139

  • CrossRef
  • Google Scholar

• 139

  RogalewskiASchäbitzWR. Stroke Recovery Enhancing Therapies: Lessons From Recent Clinical Trials. Neural Regener Res (2022) 17:717–20. doi: 10.4103/1673-5374.314287

  • CrossRef
  • Google Scholar

• 140

  QinCFanWHLiuQShangKMuruganMWuLJet al. Fingolimod Protects Against Ischemic White Matter Damage by Modulating Microglia Toward M2 Polarization via STAT3 Pathway. Stroke (2017) 48:3336–46. doi: 10.1161/STROKEAHA.117.018505

  • CrossRef
  • Google Scholar

• 141

  ChuXCaoLYuZXinDLiTMaWet al. Hydrogen-Rich Saline Promotes Microglia M2 Polarization and Complement-Mediated Synapse Loss to Restore Behavioral Deficits Following Hypoxia-Ischemic in Neonatal Mice via AMPK Activation. J Neuroinflamm (2019) 16:104. doi: 10.1186/s12974-019-1488-2

  • CrossRef
  • Google Scholar

• 142

  LiLGanHJinHFangYYangYZhangJet al. Astragaloside IV Promotes Microglia/Macrophages M2 Polarization and Enhances Neurogenesis and Angiogenesis Through PPARgamma Pathway After Cerebral Ischemia/Reperfusion Injury in Rats. Int Immunopharmacol (2021) 92:107335. doi: 10.1016/j.intimp.2020.107335

  • CrossRef
  • Google Scholar

• 143

  LiFZhaoHHanZWangRTaoZFanZet al. Xuesaitong May Protect Against Ischemic Stroke by Modulating Microglial Phenotypes and Inhibiting Neuronal Cell Apoptosis via the STAT3 Signaling Pathway. CNS Neurol Disord Drug Targets (2019) 18:115–23. doi: 10.2174/1871527317666181114140340

  • CrossRef
  • Google Scholar

• 144

  XuXGaoWLiLHaoJYangBWangTet al. Annexin A1 Protects Against Cerebral Ischemia-Reperfusion Injury by Modulating Microglia/Macrophage Polarization via FPR2/ALX-Dependent AMPK-mTOR Pathway. J Neuroinflamm (2021) 18:119. doi: 10.1186/s12974-021-02174-3

  • CrossRef
  • Google Scholar

• 145

  WangDLiuFZhuLLinPHanFWangXet al. FGF21 Alleviates Neuroinflammation Following Ischemic Stroke by Modulating the Temporal and Spatial Dynamics of Microglia/Macrophages. J Neuroinflamm (2020) 17:257. doi: 10.1186/s12974-020-01921-2

  • CrossRef
  • Google Scholar

• 146

  BlackerDJPrenticeDAlvaroABatesTRByneveltMKellyAet al. Reducing Haemorrhagic Transformation After Thrombolysis for Stroke: A Strategy Utilising Minocycline. Stroke Res Treat (2013) 2013:362961. doi: 10.1155/2013/362961

  • CrossRef
  • Google Scholar

• 147

  JinQChengJLiuYWuJWangXWeiSet al. Improvement of Functional Recovery by Chronic Metformin Treatment Is Associated With Enhanced Alternative Activation of Microglia/Macrophages and Increased Angiogenesis and Neurogenesis Following Experimental Stroke. Brain Behav Immun (2014) 40:131–42. doi: 10.1016/j.bbi.2014.03.003

  • CrossRef
  • Google Scholar

• 148

  TangZGanYLiuQYinJXLiuQShiJet al. CX3CR1 Deficiency Suppresses Activation and Neurotoxicity of Microglia/Macrophage in Experimental Ischemic Stroke. J Neuroinflammation (2014) 11:26. doi: 10.1186/1742-2094-11-26

  • CrossRef
  • Google Scholar

• 149

  MorettiRLegerPLBessonVCCsabaZPansiotJDi CriscioLet al. Sildenafil, a Cyclic GMP Phosphodiesterase Inhibitor, Induces Microglial Modulation After Focal Ischemia in the Neonatal Mouse Brain. J Neuroinflamm (2016) 13:95. doi: 10.1186/s12974-016-0560-4

  • CrossRef
  • Google Scholar

• 150

  ShuZMShuXDLiHQSunYShanHSunXYet al. Ginkgolide B Protects Against Ischemic Stroke Via Modulating Microglia Polarization in Mice. CNS Neurosci Ther (2016) 22:729-39. doi: 10.1111/cns.12577

  • CrossRef
  • Google Scholar

• 151

  HeYMaXLiDHaoJ. Thiamet G Mediates Neuroprotection in Experimental Stroke by Modulating Microglia/Macrophage Polarization and Inhibiting NF-κB p65 signaling. J Cereb Blood Flow Metab (2017) 37:2938-51. doi: 10.1177/0271678X16679671

  • CrossRef
  • Google Scholar

• 152

  JiJXiangPLiTLanLXuXLuGet al. NOSH-NBP, a Novel Nitric Oxide and Hydrogen Sulfide- Releasing Hybrid, Attenuates Ischemic Stroke-Induced Neuroinflammatory Injury by Modulating Microglia Polarization. Front Cell Neurosci (2017) 11:154. doi: 10.3389/fncel.2017.00154

  • CrossRef
  • Google Scholar

• 153

  SchmidtAStreckerJKHuckeSBruckmannNMHeroldMMackMet al. Targeting Different Monocyte/Macrophage Subsets Has No Impact on Outcome in Experimental Stroke. Stroke (2017) 48:1061–9. doi: 10.1161/STROKEAHA.116.015577

  • CrossRef
  • Google Scholar

• 154

  JiangMWangHJinMYangXJiHJianget al. Exosomes from MiR-30d-5p-ADSCs Reverse Acute Ischemic Stroke-Induced, Autophagy-Mediated Brain Injury by Promoting M2 Microglial/Macrophage Polarization. Cell Physiol Biochem (2018) 47:864-78. doi: 10.1159/000490078

  • CrossRef
  • Google Scholar

• 155

  GelosaPBonfantiECastiglioniLDelgado-GarciaJMGruartAFontanaLet al. Improvement of Fiber Connectivity and Functional Recovery After Stroke by Montelukast, an Available and Safe Anti-Asthmatic Drug. Pharmacol Res (2019) 142:223–36. doi: 10.1016/j.phrs.2019.02.025

  • CrossRef
  • Google Scholar

• 156

  SongYLiZHeTQuMJiangLLiWet al. M2 Microglia-Derived Exosomes Protect the Mouse Brain From Ischemia-Reperfusion Injury via Exosomal miR-124. Theranostics (2019) 9:2910-23. doi: 10.7150/thno.30879

  • CrossRef
  • Google Scholar

• 157

  YangJBalkayaMBeltranCHeoJHChoS. Remote Postischemic Conditioning Promotes Stroke Recovery by Shifting Circulating Monocytes to CCR2(+) Proinflammatory Subset. J Neurosci (2019) 39:7778–89. doi: 10.1523/JNEUROSCI.2699-18.2019

  • CrossRef
  • Google Scholar

• 158

  YeYJinTZhangXZengZYeBWangJet al. Meisoindigo Protects Against Focal Cerebral Ischemia-Reperfusion Injury by Inhibiting NLRP3 Inflammasome Activation and Regulating Microglia/Macrophage Polarization via TLR4/NF-κB Signaling Pathway. Front Cell Neurosci (2019) 13:553. doi: 10.3389/fncel.2019.00553

  • CrossRef
  • Google Scholar

• 159

  ZhengYHeRWangPShiYZhaoLLiangJet al. Exosomes From LPS-stimulated Macrophages Induce Neuroprotection and Functional Improvement After Ischemic Stroke by Modulating Microglial Polarization. Theranostics (2019) 7:2037-49. doi: 10.1039/c8bm01449c

  • CrossRef
  • Google Scholar

• 160

  LiFZhaoLShiYLiangJ. Edaravone-Loaded Macrophage-Derived Exosomes Enhance Neuroprotection in the Rat Permanent Middle Cerebral Artery Occlusion Model of Stroke. Mol Pharm (2020) 17:3192–201. doi: 10.1021/acs.molpharmaceut.0c00245

  • CrossRef
  • Google Scholar

• 161

  AhmedAWangLLAbdelmaksoudSAboelgheitASaeedSZhangCL. Minocycline Modulates Microglia Polarization in Ischemia-Reperfusion Model of Retinal Degeneration and Induces Neuroprotection. Sci Rep (2017) 7:14065. doi: 10.1038/s41598-017-14450-5

  • CrossRef
  • Google Scholar

• 162

  LamplYBoazMGiladRLorberboymMDabbyRRapoportAet al. Minocycline Treatment in Acute Stroke: An Open-Label, Evaluator-Blinded Study. Neurology (2007) 69:1404–10. doi: 10.1212/01.wnl.0000277487.04281.db

  • CrossRef
  • Google Scholar

• 163

  FaganSCWallerJLNicholsFTEdwardsDJPettigrewLCClarkWMet al. Minocycline to Improve Neurologic Outcome in Stroke (MINOS): A Dose-Finding Study. Stroke (2010) 41:2283–7. doi: 10.1161/STROKEAHA.110.582601

  • CrossRef
  • Google Scholar

• 164

  KohlerEPrenticeDABatesTRHankeyGJClaxtonAvan HeerdenJet al. Intravenous Minocycline in Acute Stroke: A Randomized, Controlled Pilot Study and Meta-Analysis. Stroke (2013) 44:2493–9. doi: 10.1161/STROKEAHA.113.000780

  • CrossRef
  • Google Scholar

• 165

  Amiri-NikpourMRNazarbaghiSHamdi-HolasouMRezaeiY. An Open-Label Evaluator-Blinded Clinical Study of Minocycline Neuroprotection in Ischemic Stroke: Gender-Dependent Effect. Acta Neurol Scand (2015) 131:45–50. doi: 10.1111/ane.12296

  • CrossRef
  • Google Scholar

• 166

  FoudaAYNewsomeASSpellicySWallerJLZhiWHessDCet al. Minocycline in Acute Cerebral Hemorrhage: An Early Phase Randomized Trial. Stroke (2017) 48:2885–7. doi: 10.1161/STROKEAHA.117.018658

  • CrossRef
  • Google Scholar

• 167

  LiJDaiXZhouLLiXPanD. Edaravone Plays Protective Effects on LPS-Induced Microglia by Switching M1/M2 Phenotypes and Regulating NLRP3 Inflammasome Activation. Front Pharmacol (2021) 12:691773. doi: 10.3389/fphar.2021.691773

  • CrossRef
  • Google Scholar

• 168

  EnomotoMEndoAYatsushigeHFushimiKOtomoY. Clinical Effects of Early Edaravone Use in Acute Ischemic Stroke Patients Treated by Endovascular Reperfusion Therapy. Stroke (2019) 50:652–8. doi: 10.1161/STROKEAHA.118.023815

  • CrossRef
  • Google Scholar

• 169

  XuJWangAMengXYalkunGXuAGaoZet al. Edaravone Dexborneol Versus Edaravone Alone for the Treatment of Acute Ischemic Stroke: A Phase III, Randomized, Double-Blind, Comparative Trial. Stroke (2021) 52:772–80. doi: 10.1161/STROKEAHA.120.031197

  • CrossRef
  • Google Scholar

• 170

  ZhuZFuYTianDSunNHanWChangGet al. Combination of the Immune Modulator Fingolimod With Alteplase in Acute Ischemic Stroke: A Pilot Trial. Circulation (2015) 132:1104–12. doi: 10.1161/CIRCULATIONAHA.115.016371

  • CrossRef
  • Google Scholar

• 171

  CurtaleGRubinoMLocatiM. MicroRNAs as Molecular Switches in Macrophage Activation. Front Immunol (2019) 10:799. doi: 10.3389/fimmu.2019.00799

  • CrossRef
  • Google Scholar

• 172

  HuangSGeXYuJHanZYinZLiYet al. Increased miR-124-3p in Microglial Exosomes Following Traumatic Brain Injury Inhibits Neuronal Inflammation and Contributes to Neurite Outgrowth via Their Transfer Into Neurons. FASEB J (2018) 32:512–28. doi: 10.1096/fj.201700673R

  • CrossRef
  • Google Scholar

• 173

  ParkJChangJYKimJYLeeJE. Monocyte Transmodulation: The Next Novel Therapeutic Approach in Overcoming Ischemic Stroke? Front Neurol (2020) 11:578003. doi: 10.3389/fneur.2020.578003

  • CrossRef
  • Google Scholar

• 174

  NakamuraTYamamotoEKataokaKYamashitaTTokutomiYDongYFet al. Pioglitazone Exerts Protective Effects Against Stroke in Stroke-Prone Spontaneously Hypertensive Rats, Independently of Blood Pressure. Stroke (2007) 38:3016–22. doi: 10.1161/STROKEAHA.107.486522

  • CrossRef
  • Google Scholar

• 175

  HilgendorfIGerhardtLMTanTCWinterCHolderriedTAChoustermanBGet al. Ly-6chigh Monocytes Depend on Nr4a1 to Balance Both Inflammatory and Reparative Phases in the Infarcted Myocardium. Circ Res (2014) 114:1611–22. doi: 10.1161/CIRCRESAHA.114.303204

  • CrossRef
  • Google Scholar

• 176

  EtzrodtMCortez-RetamozoVNewtonAZhaoJNgAWildgruberMet al. Regulation of Monocyte Functional Heterogeneity by miR-146a and Relb. Cell Rep (2012) 1:317–24. doi: 10.1016/j.celrep.2012.02.009

  • CrossRef
  • Google Scholar

• 177

  JacksonCMChoiJRoutkevitchDPantASalehLYeXet al. PD-1+ Monocytes Mediate Cerebral Vasospasm Following Subarachnoid Hemorrhage. Neurosurgery (2021) 88:855–63. doi: 10.1093/neuros/nyaa495

  • CrossRef
  • Google Scholar

• 178

  GettsDRTerryRLGettsMTDeffrasnesCMullerMvan VredenCet al. Therapeutic Inflammatory Monocyte Modulation Using Immune-Modifying Microparticles. Sci Transl Med (2014) 6:219ra7. doi: 10.1126/scitranslmed.3007563

  • CrossRef
  • Google Scholar

• 179

  SpadaroMMontaroloFPergaSMartireSBresciaFMalucchiSet al. Biological Activity of Glatiramer Acetate on Treg and Anti-Inflammatory Monocytes Persists for More Than 10 Years in Responder Multiple Sclerosis Patients. Clin Immunol (2017) 181:83–8. doi: 10.1016/j.clim.2017.06.006

  • CrossRef
  • Google Scholar

• 180

  FischerHJFinckTLKPellkoferHLReichardtHMLuhderF. Glucocorticoid Therapy of Multiple Sclerosis Patients Induces Anti-Inflammatory Polarization and Increased Chemotaxis of Monocytes. Front Immunol (2019) 10:1200. doi: 10.3389/fimmu.2019.01200

  • CrossRef
  • Google Scholar

• 181

  HanRXiaoJZhaiHHaoJ. Dimethyl Fumarate Attenuates Experimental Autoimmune Neuritis Through the Nuclear Factor Erythroid-Derived 2-Related Factor 2/Hemoxygenase-1 Pathway by Altering the Balance of M1/M2 Macrophages. J Neuroinflamm (2016) 13:97. doi: 10.1186/s12974-016-0559-x

  • CrossRef
  • Google Scholar

• 182

  DeganDOrnelloRTiseoCCaroleiASaccoSPistoiaF. The Role of Inflammation in Neurological Disorders. Curr Pharm Des (2018) 24:1485–501. doi: 10.2174/1381612824666180327170632

  • CrossRef
  • Google Scholar

• 183

  LassmannH. Pathology of Inflammatory Diseases of the Nervous System: Human Disease Versus Animal Models. Glia (2020) 68:830–44. doi: 10.1002/glia.23726

  • CrossRef
  • Google Scholar