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Frontiers in Cellular Neuroscience logoLink to Frontiers in Cellular Neuroscience
. 2021 Feb 18;15:647378. doi: 10.3389/fncel.2021.647378

Microglia Fighting for Neurological and Mental Health: On the Central Nervous System Frontline of COVID-19 Pandemic

Elisa Gonçalves de Andrade 1, Eva Šimončičová 1, Micaël Carrier 1,2, Haley A Vecchiarelli 1, Marie-Ève Robert 2, Marie-Ève Tremblay 1,2,3,4,5,*
PMCID: PMC7961561  PMID: 33737867

Abstract

Coronavirus disease 2019 (COVID-19) is marked by cardio-respiratory alterations, with increasing reports also indicating neurological and psychiatric symptoms in infected individuals. During COVID-19 pathology, the central nervous system (CNS) is possibly affected by direct severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) invasion, exaggerated systemic inflammatory responses, or hypoxia. Psychosocial stress imposed by the pandemic further affects the CNS of COVID-19 patients, but also the non-infected population, potentially contributing to the emergence or exacerbation of various neurological or mental health disorders. Microglia are central players of the CNS homeostasis maintenance and inflammatory response that exert their crucial functions in coordination with other CNS cells. During homeostatic challenges to the brain parenchyma, microglia modify their density, morphology, and molecular signature, resulting in the adjustment of their functions. In this review, we discuss how microglia may be involved in the neuroprotective and neurotoxic responses against CNS insults deriving from COVID-19. We examine how these responses may explain, at least partially, the neurological and psychiatric manifestations reported in COVID-19 patients and the general population. Furthermore, we consider how microglia might contribute to increased CNS vulnerability in certain groups, such as aged individuals and people with pre-existing conditions.

Keywords: microglia, COVID-19, SARS-CoV-2, central nervous system, cytokines, hypoxia, neurological manifestations, psychosocial stress

Introduction

At the beginning of the pandemic, it was thought that the coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection, affected only the respiratory system (Wang et al., 2020b). However, increasing reports of olfactory and taste symptoms in infected patients suggested possible central nervous system (CNS) damage (Agyeman et al., 2020). As the scenario evolved, further reports of neurological manifestations in COVID-19 appeared, such as encephalopathies, cerebrovascular disease, as well as psychiatric symptoms of depression or anxiety (Gautier and Ravussin, 2020; Giacomelli et al., 2020; Mao et al., 2020; Poyiadji et al., 2020; Taquet et al., 2020; Wang et al., 2020b). At the same time, the pandemic broadly imposes a high degree of psychosocial stress (Brooks et al., 2020; McGinty et al., 2020; Pierce et al., 2020), a strong predictor of mental health disorders (Maes et al., 1998; Schneiderman et al., 2005), on the general population. Similar coronaviruses (CoVs), such as severe acute respiratory syndrome coronavirus 1 (SARS-CoV-1) and Middle East respiratory syndrome coronavirus (MERS-CoV) were also recently associated with psychiatric and neurological disorders, with a prevalence of 0.09% for SARS-CoV-1 and 0.36% for MERS-CoV (Ellul et al., 2020). Despite a seemingly low proportion, given the large number of reported COVID-19 cases [78,383,527, as of December 26th 2020 WHO Coronavirus Disease (COVID-19) Dashboard (2020)], this may indicate approximately 70,545 people impacted, if a similar ratio is observed for the SARS-CoV-2 (Ellul et al., 2020).

The cause of these diverse manifestations remains elusive. To help stimulate and orient further research on the consequences of COVID-19 on neurological and mental health, in this review, we discuss several putative origins, which include SARS-CoV-2 infection in the CNS, hypoxia-derived injuries in the brain, and the excessive circulation of inflammatory factors in COVID-19 affected individuals. Acting synergistically or not, we suggest how these factors trigger protective and neurotoxic responses by microglia, the resident innate immune cells of the CNS, along with their possible connections to the neurological and psychiatric manifestations encountered upon SARS-CoV-2 infection. Lastly, we consider the burden of the psychosocial stress imposed by the pandemic in both COVID-19 affected individuals and the general population. We cover how, even in the absence of infection, microglia might respond to stress and severely impact the mental health of vulnerable groups.

Microglia Mediate How the CNS Is Affected by SARS-CoV-2 Infection

The CNS Is Affected by Direct SARS-CoV-2 Infection

The CNS-associated manifestations of COVID-19 could, in part, result from SARS-CoV-2 infection in the brain. Two main routes for CNS invasion, based on either (i) neuronal or (ii) hematogenous transport (Figure 1), were proposed in the literature.

FIGURE 1.

FIGURE 1

During the COVID-19 pandemic, microglia respond to various central nervous system (CNS) insults, including viral infection, hypoxic injury, excessive circulating cytokines, and psychosocial stress. (Upper panel) Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) can enter the brain via (1) peripherally infected neurons, or via (2) infected microvascular brain endothelial cells, and (3) infected infiltrating leukocytes. Infected cells, in turn, (4) release damage-associated molecular patterns (DAMPs) and pathogen-associated molecular patterns (PAMPs) that are sensed by microglia, which respond by (5) becoming reactive. At the same time, COVID-19 pathology contributes to (1) low oxygen levels, likely driving hypoxic injuries in the brain. Neurons are extremely sensitive to oxygen deficits, becoming (2) quickly damaged, and (3) releasing DAMPs and PAMPs. This is sensed by (4) microglia, which respond by changing their morphology, molecular signature, and cytokine release. (Lower panel) COVID-19 is also associated with an exacerbated inflammatory response, marked by increased levels of (1) circulating cytokines, i.e., cytokine storm. These cytokines signal to the brain via different pathways, for example, (2) signaling through the blood–brain barrier (BBB), being quickly sensed by (3) microglia. Furthermore, excessive cytokines may drive (4) BBB disruption, which increases not only cytokine levels in the brain but also of (5) DAMPs and PAMPs associated with the systemic viral infection. Lastly, psychosocial stress drives the production of cortisol, catecholamines, and cytokines, released into the (1) circulation. Microglia can respond to all of these factors by becoming (2) reactive, likely driving dysfunctional (3) synaptic remodeling.

Neuronal Route

The neuronal route relies on retrograde axonal transport from infected peripheral nerves, such as the olfactory or vagus nerves (Desforges et al., 2019; DosSantos et al., 2020). Many SARS-CoV-2 related viruses, including other CoVs, use olfactory nerve fibers to enter the CNS (Koyuncu et al., 2013). In transgenic mice expressing the human angiotensin I converting enzyme 2 (ACE2) protein, a high-affinity receptor for SARS-CoVs, intranasal SARS-CoV-1 administration resulted in olfactory nerve infection, progressively spreading to the olfactory bulb, cerebral cortex, basal ganglia, and midbrain (Netland et al., 2008). Similarly, in a patient who died from a severe respiratory failure associated with COVID-19, SARS-CoV-2 viral particles were detected in the olfactory nerve, gyrus rectus, and brainstem (Bulfamante et al., 2020). Likewise, immunohistochemical analysis revealed SARS-CoV-2 proteins in the cranial nerves originating from the lower medulla oblongata and a high degree of reactive glial cells, i.e., gliosis, in the olfactory bulb of autopsied COVID-19 patients (Matschke et al., 2020). Infection of the olfactory system is also consistent with the frequent loss of smell and increased magnetic resonance imaging (MRI) signal measured in the olfactory cortex of patients (Lu et al., 2020; Politi et al., 2020). It is important to note, however, that it remains unclear whether ACE2 and transmembrane serine protease 2 (TMPRSS2), another SARS-CoV-2 receptor, are expressed specifically by neurons of the olfactory system (Brann et al., 2020; DosSantos et al., 2020).

Abundant ACE2 expression in small intestine endothelial cells (ECs) (Hamming et al., 2004), and the incidence of gastrointestinal symptoms in patients with COVID-19 (Chen et al., 2020a; Wang et al., 2020b), also prompted a putative neuronal route involving the enteric nervous system. Indeed, this strategy has been proposed for several neurotropic viruses, including CoVs (DosSantos et al., 2020). For instance, intragastric inoculation with MERS-CoV in transgenic mice expressing human dipeptidyl peptidase 4 (DPP4) protein, the MERS-CoV receptor, led to enterocyte, lung, and brain infection (Zhou et al., 2017). The path used by these viruses to reach the CNS is unclear but they could follow the intestinal nervous plexuses and vagus nerve, reaching the brainstem through axonal transport (DosSantos et al., 2020). While the presence of SARS-CoV-2 in these nerves remains obscure, human small intestinal organoids have shown to be productively infected by the novel coronavirus (Lamers et al., 2020). Notably, enteric glial cells recognize and fight viruses, coordinating both innate and adaptive antiviral responses that are connected to neurological impairment, for example, via the release of the pro-inflammatory cytokine interleukin (IL) 6 (Esposito et al., 2020).

Hematogenous Route

Yet, SARS-CoV-2 could also use a hematogenous route, i.e., via the bloodstream, infecting brain microvascular ECs or leukocytes crossing the blood–brain barrier (BBB) to reach the CNS (Figure 1; Desforges et al., 2019). The BBB is composed of a monolayer of ECs joined by tight junctions, and it is covered by pericytes, as well as astrocytic (Abbott et al., 2006), and microglial endfeet (Joost et al., 2019). This structure limits almost all transcellular and paracellular transport from the blood to the brain parenchyma, protecting the CNS from pathogens and toxins (Abbott et al., 2006). In vitro human and rodent studies have suggested all components of the BBB can be infected by viruses (Chen and Li, 2020). Correspondingly, ACE2 protein is broadly present in ECs of post-mortem human brains (Hamming et al., 2004; Buzhdygan et al., 2020). Furthermore, budding of SARS-CoV-2 viral particles has been observed in the brain ECs of a deceased COVID-19 patient (Paniz-Mondolfi et al., 2020). In parallel, SARS-CoV-2 infiltration through the brain vasculature could be facilitated by BBB disruption (Alquisiras-Burgos et al., 2020). Endothelial infection increasing BBB permeability was associated with the mouse CoV, i.e., neurotropic mouse hepatitis virus (MHV), through down-regulation of proteins forming the tight junctions between brain ECs, such as tight junction protein 1 (TJP1), cadherin 5, and occludin (Bleau et al., 2015). SARS-CoV-2 spike proteins (subunits 1 and 2) also increased permeability of an in vitro 3D BBB model constituted of primary human brain ECs, as assessed by enhanced dextran perfusion and decreased TJP1 immunostaining (Buzhdygan et al., 2020). In brain ECs, this effect was accompanied by higher messenger RNA (mRNA) expression of the (i) cytokines IL6 and IL1B, (ii) matrix metallopeptidases (MMPs) 2, 3, 9, and 12, involved in remodeling of the extracellular matrix; (iii) leukocyte chemotaxis factors, such as C-C motif chemokine ligand 5 (CCL5) and C-X-C motif chemokine ligand 10 (CXCL10); as well as protein expression of (iv) cell adhesion molecules, including intracellular adhesion molecule 1 and vascular cell adhesion protein 1 (Buzhdygan et al., 2020).

To reach the CNS, the SARS-CoV-2 could likewise use the blood-cerebrospinal fluid (CSF) barrier, a more permeable barrier compared to the BBB, formed by a single layer of ECs of the choroid plexus (Pellegrini et al., 2020). SARS-CoV-2 receptors, including ACE2 and TMPRSS2, were detected in human choroid plexus organoids via transcriptomic and immunoblotting analysis (Pellegrini et al., 2020). Pellegrini et al. (2020) also observed that SARS-CoV-2 clinical isolate infected choroid plexus but not neuronal organoids; and this infection led to a disruption of tight junctions, labeled by claudin 5 (CLDN5), and an overall breakdown of barrier integrity. Although similar reports are rare, in a case series examining 30 COVID-19 patients with neurologic symptoms, five showed a high CSF-blood albumin ratio, suggesting either BBB or blood-CSF barrier disruption (Neumann et al., 2020). Lastly, instead of using the endothelium, SARS-CoV-2 CNS invasion could occur via infected immune cells that infiltrate the brain. Yet, only macrophages were positive for the virus according to single-cell RNA sequencing (RNA-seq) of bronchoalveolar lavage samples from COVID-19 patients (Bost et al., 2020). Of note, this finding could be due to phagocytosis of the viral components or infected cells, and not necessarily to viral propagation. Additionally, thus far, autopsy series of deceased COVID-19 patients did not show marked peripheral immune cell infiltration in the brain (Iadecola et al., 2020), and dissemination of SARS-CoV-2 into the blood has been described in inconsistent proportions, ranging from 1 (Wang et al., 2020b) to 41% (Zheng et al., 2020).

Evidence of SARS-CoV-2 Brain Infection

The path used by SARS-CoV-2 to invade the CNS remains puzzling, along with the fate of the virus once it reaches the brain. On one hand, human neural organoids seem to be limited in their ability to support SARS-CoV-2 replication (Pellegrini et al., 2020; Ramani et al., 2020). On the other, dopaminergic neurons derived from human pluripotent cells were found to be susceptible to SARS-CoV-2, but not cortical neurons, brain ECs, macrophages, or microglia (Yang et al., 2020a); despite the RNA expression of SARS-CoV-2 receptors in several CNS cell types. According to human brain single-cell RNA-seq, ACE2 is expressed in many neuronal subtypes, astrocytes, and oligodendrocytes (Matschke et al., 2020). Expression of TMPRSS2 and TMPRSS4 was most elevated in neurons, whereas cathepsin L (CTSL), necessary for viral entry and replication, was highest in microglia (Matschke et al., 2020). However, the protein expression of these receptors in the CNS still needs to be investigated, along with SARS-CoV-2 ability to replicate in the different brain cell types in vivo.

Notably, SARS-CoV-2 CNS invasion is also supported by viral detection in both the CSF and brain of COVID-19 patients (Bulfamante et al., 2020; Domingues et al., 2020; Huang et al., 2020; Kremer et al., 2020; Matschke et al., 2020; Moriguchi et al., 2020; Paniz-Mondolfi et al., 2020; Puelles et al., 2020; Solomon et al., 2020; Virhammar et al., 2020). It is clear, though, that presence of SARS-CoV-2 in CSF is rare (Domingues et al., 2020; Huang et al., 2020; Kremer et al., 2020; Moriguchi et al., 2020; Virhammar et al., 2020). For example, in a study with 31 CSF human samples, only one was positive for SARS-CoV-2 via quantitative reverse transcription polymerase chain reaction (RT-qPCR) (targeting the RNA-dependent RNA polymerase sequence), despite increased CSF markers of inflammation, such as high protein count or elevated immunoglobulin G in all of them (Kremer et al., 2020). Similarly, several other studies evaluating a total of 30 COVID-19 patients with neurological manifestations did not detect SARS-CoV-2 in the CSF by RT-qPCR (targeting E and nucleocapsid genes) (Al Saiegh et al., 2020; Al-Dalahmah et al., 2020; Alexopoulos et al., 2020; Filatov et al., 2020; Helms et al., 2020; Paniz-Mondolfi et al., 2020; Schaller et al., 2020). At the same time, definite proof of SARS-CoV-2 invasion in the brain via autopsied tissue, while limited, was reported in patients showing severe COVID-19 and a history of previous chronic diseases (Matschke et al., 2020). Using electron microscopy, the first report detected viral particles in brain ECs and frontal lobe neurons of a 74-years old patient with a history of Parkinson’s disease (PD) (Paniz-Mondolfi et al., 2020). SARS-CoV-2 viral particles were also uncovered in the brainstem of another COVID-19 deceased patient (see section “Neuronal Route”) (Bulfamante et al., 2020). Later on, five out of 18 (Solomon et al., 2020) and eight out of 22 (Puelles et al., 2020) post-mortem human brains were shown to be positive for SARS-CoV-2 RNA (E and nucleocapsid genes) but negative for immunohistochemical analysis of nucleocapsid (Solomon et al., 2020) and spike (Puelles et al., 2020) proteins. Yet, in the largest study published so far, 21 out of 40 affected individuals displayed both SARS-CoV-2 RNA and proteins in the brain, based on RT-qPCR (E gene) and immunohistochemistry (nucleocapsid and spike proteins) (Matschke et al., 2020).

Inconsistent SARS-CoV-2 detection in the CNS and CSF contributes to the great uncertainty around the novel coronavirus’ level of neurotropism. For instance, in one study, the virus was undetectable in CSF despite being present in the patient’s brain (Paniz-Mondolfi et al., 2020). Similarly, brain samples of eight patients were negative for viral RNA yet immunopositive for the spike or nucleocapsid proteins in another study (Matschke et al., 2020). Even more intriguingly, SARS-CoV-2 was reported in the CSF of one patient without respiratory symptoms (Huang et al., 2020). Conflicting results for RT-qPCR SARS-CoV-2 detection in CSF, and between RT-qPCR and immunohistochemistry in the brain, reveal a need for more cohesion in tests to properly estimate the prevalence of brain infection (Murta et al., 2020). Similarly, since the putative routes and outcomes for CNS invasion are drawn mostly from correlative data, it is imperative to directly investigate what pathway(s) are used by SARS-CoV-2 and if productive infections can be generated in the brain. In the event of SARS-CoV-2 brain infection, the fate of CNS function relies on antiviral defenses; and microglia, as the resident innate immune cells of the brain, could hinder viral spread, as discussed below.

Putative Responses of Microglia to SARS-CoV-2 CNS Infection

Microglia, contrary to all the other CNS cells, arise from erythro-myeloid progenitors in the fetal yolk sac and are present in the brain during embryonic development, self-renewing throughout life (Ajami et al., 2007; Ginhoux et al., 2010; Tay et al., 2017b). These cells are central players in the inflammatory response of the brain, i.e., neuroinflammation, in most if not all physical, infectious, psychiatric, or neurodegenerative-related insults to the CNS. Microglia are also essential for brain development, plasticity, and homeostasis, contributing to (i) the turnover (both elimination and survival) of neuronal precursors and neurons, (ii) oligodendrocyte progenitor cell maturation, (iii) neuronal wiring, (iv) synaptic maturation, activity, and plasticity, (v) myelination, as well as (vi) BBB integrity, and (vii) blood flow regulation (Tay et al., 2017b). Considering their diverse role in the brain’s immune and physiological functions, we hypothesize that microglia respond to direct SARS-CoV-2 CNS infection and changes in the CNS imposed by systemic COVID-19 response. In addition to microglia, peripheral immune cells, derived from the bone marrow, and able to enter the CNS from the circulation throughout life, such as T lymphocytes and macrophages, could assist microglia with the response to COVID-19 (Zhao et al., 2014; Wheeler et al., 2018; Klein et al., 2019; Theret et al., 2019; Mangale et al., 2020).

Innate immunity is fundamental for viral clearance in the CNS. This response is initiated by sensing pathogen-associated molecular patterns (PAMPs) and damage-associated molecular patterns (DAMPs) via pattern recognition receptors (PRRs). SARS-CoV-2 is a single-stranded RNA (ssRNA) virus that, similarly to SARS-CoV-1 and MERS-CoV, is thought to produce double-stranded RNA (dsRNA) molecules during replication. PRRs, such as Toll-like receptors (TLRs), or the cytoplasmic retinoic acid-inducible gene I-like receptors (RLRs), recognize these PAMPs; TLR3 and RLRs, including the DEAD/H box helicase 58 and the interferon induced with helicase C domain 1, recognize dsRNAs, whereas TLR7 and TLR8 recognize ssRNAs (de Wit et al., 2016; Carty et al., 2021). These PRRs are expressed mainly by microglia (Kumar, 2019; Carty et al., 2021), but also by neurons, astrocytes, pericytes, and brain ECs (Klein et al., 2019; Chen and Li, 2020). Activation of TLRs and RLRs leads to the expression of type I interferons (IFN) via the interferon regulatory factor 3/7, and of pro-inflammatory cytokines via the nuclear factor kappa B (NFKB), thereby initiating an antiviral cascade (Carty et al., 2021).

Upon binding of cytokines, DAMPs, and PAMPs to their appropriate receptors, microglia initiate an inflammatory response (Klein et al., 2019), changing their gene expression, morphology, and function in a process known as “reactivity” or “microgliosis” (though previously termed “activation”) (Hoogland et al., 2015; Savage et al., 2019). Among their adjustments, in rodents, microglia (similar to peripheral macrophages in the brain) can up-regulate protein expression of the ionized calcium-binding adapter molecule 1 (IBA1), the major histocompatibility complex class II (MHCII), and the phagolysosomal marker cluster of differentiation (CD) 68 (Jurga et al., 2020). Reactive microglia can proliferate and increase the release of pro-inflammatory cytokines [tumor necrosis factor (TNF), IL1B, IL6, IFNG] as well as reactive oxygen species (ROS) or nitric oxide (NO) which, balanced by concomitant anti-inflammatory cytokine release by microglia, help restore homeostasis (Lund et al., 2006; Block et al., 2007; Cunningham, 2013). Besides, reactive microglia generally adopt different morphologies, for example, shifting to amoeboid shapes with bigger somas and less ramified processes, as opposed to the steady-state, highly branched “surveilling” phenotype (Figure 1; Savage et al., 2019; Tremblay et al., 2020). Accordingly, increased IBA1 immunostaining and less ramified CX3C chemokine receptor (CX3CR1)-green fluorescent protein (GFP)-positive microglial cells were observed in the olfactory bulb of MHV infected mice (Wheeler et al., 2018). Increased IBA1-positive microglial cells were also described in mice expressing the human ACE2 protein, 6 days following intranasal SARS-CoV-1 infection (Netland et al., 2008).

Reactive microglial phenotypes can secrete antiviral factors, such as IFNs and IL6 (Klein et al., 2019). However, other cells can compensate for this release in the absence of normal levels of microglia (Wheeler et al., 2018). This has been shown by manipulating signaling through the colony stimulating factor 1 receptor (CSF1R), a receptor tyrosine kinase required for the development, maintenance, and proliferation of microglia (Ginhoux et al., 2010; Erblich et al., 2011; Elmore et al., 2014). Using its antagonist PLX5622 to significantly deplete CSFR1-positive cells, including microglia (but not the resident CD45-high macrophage population that can infiltrate the CNS from the circulation), Wheeler et al. (2018) showed Ifnb, Ifna, Il6 mRNA levels were not changed in mouse brains infected with neuro-attenuated rJ2.2 strain of the murine hepatitis virus (JMHV). Similarly, in the case of a neurovirulent strain of MHV, gene set enrichment analysis from single-cell RNA-seq of ex vivo CD45-high cells isolated from the brain revealed enrichment of IFN-response genes in peripheral macrophages and dendritic cells of infected versus non-infected PLX5622-treated mice (Mangale et al., 2020). This compensatory mechanism is also supported by in vitro studies showing that murine astrocytic cells are important sources of IFNA/B after infection with MHV strain A59 (Savarin and Bergmann, 2018; Lavi and Cong, 2020).

Similarly to other CoVs, SARS-CoV-2 can infect and drive permeability of an in vitro human BBB model (Bleau et al., 2015; Buzhdygan et al., 2020). BBB disruption, in turn, can enhance the entry of peripheral immune cells and inflammatory factors in the brain to help fight the infection. Although microglia do not appear to be critical for overall immune cell infiltration (Figure 1), they are crucial for initiating the antiviral responses of peripheral cells. For instance, significant reductions in the microglial population (mediated by PLX5622) early (0 and 6 days) after intracranial JMHV infection severely impacted viral restriction, resulting in an increased viral load and a higher mortality rate of mice (Wheeler et al., 2018). Microglial depletion (i) disrupted antigen-presentation, and consequently CD4-positive T cell and regulatory T cell (Treg) antiviral responses, and (ii) led to immature macrophage infiltration (Wheeler et al., 2018; Mangale et al., 2020). Conversely, peripheral cells seem to be important for microglial regulation. Intravenous administration of Foxp3-positive CD4 regulatory T cells recognizing the viral MHV M133 epitope 24 h before MHV infection decreased microglial MHCII protein expression and limited T helper type 1 (Th1) cell response, improving survival of mice (Zhao et al., 2014). The close interactions between brain resident immune cells and virus-specific T cells are also supported by significant gene expression changes in pathways related to (i) antigen presentation, (ii) crosstalk between the innate and adaptive immune systems, (iii) IFN signaling, (iv) IFN-regulatory factors, (v) PRRs, and (vi) chemokines in microglia from MHV infected mice compared to controls (Wheeler et al., 2018).

While coordinating the antiviral response, microglia can themselves become infected. This has been shown for CoVs including the human coronavirus OC43, as well as the murine strains MHV and JHMV (Bonavia et al., 1997; Arbour et al., 1999; Nakagaki et al., 2005; Das Sarma, 2014; Lavi and Cong, 2020). Although, except for MHV, this infection of microglia was observed only at low levels, and mostly in immortalized cell lines from humans and mice, which do not necessarily correlate with in vivo conditions (Bonavia et al., 1997; Arbour et al., 1999; Nakagaki et al., 2005; Das Sarma, 2014; Lavi and Cong, 2020). Evidence from different viral families suggests that upon direct infection, microglia show signs of reactivity. For example, in primary microglial cultures from rats, the Japanese encephalitis virus (JEV) drives a change from a process-bearing morphology to an amoeboid and CD68-positive cell, characteristic of a phagocytic phenotype (Chen et al., 2010). Remarkably, this morphological shift seemed to be induced by soluble components released by infected cells and not by active viral replication (Chen et al., 2010). Initial results with human microglial cells derived from pluripotent cells argue these cells are not susceptible to SARS-CoV-2, despite ACE2 protein and CTSL mRNA expression (Matschke et al., 2020; Yang et al., 2020a) [though further research in humans is necessary to confirm this finding].

Among the reports evaluating microglial markers in post-mortem brain tissue from COVID-19 cases, one detected SARS-CoV-2 brain invasion in 21 out of 40 patients (see also section “Evidence of SARS-CoV-2 Brain Infection”) (Matschke et al., 2020). Matschke et al. (2020) observed diffuse staining for IBA1 and the microglial enriched marker transmembrane protein 119 (TMEM119), with occasional microglial nodules, i.e., microglial clusters, among the brainstem and cerebellum in 29 out of 32 tested COVID-19 patients. In the subpial and subependymal regions, IBA1-positive microglia were frequently seen surrounded by CD8-positive T cells, and strongly expressed CD68, as well as the human leukocyte antigen DR isotype (HLA-DR, an MHCII receptor) (Matschke et al., 2020). However, it is not clear if the same patients who had detectable brain levels of SARS-CoV-2 were also those that showed an increase in these microglial markers (Matschke et al., 2020). Up-regulated microglial protein expression of IBA1, CD68, TMEM119, as well as HLA-DR, and their proximity to T cells, could indicate active phagocytosis of antigens to drive T cell activation and CNS infiltration following viral infection, as observed previously with other CoVs (Wheeler et al., 2018; Mangale et al., 2020). At the same time, the changes in microglia detected in this work could stem from or be potentiated by a response to the systemic COVID-19, which on its own is associated, for example, with hypoxic brain damage, as will be discussed next.

Microglia Could Determine How the CNS Is Affected by COVID-19 Pathology

Microglia Respond to COVID-19-Associated Hypoxia

Although 81% of SARS-CoV-2 infected individuals present mild pneumonia, severe disease-associated hypoxia is observed in around 14%, critical disease in 5%, and death in 2.3% of patients (Wu and McGoogan, 2020). In severe cases, the most expressive pathological consequences of COVID-19 include massive alveolar damage, heart failure, coagulopathy, and cerebrovascular disease, including ischemic events (Aggarwal et al., 2020; Carsana et al., 2020; Chen et al., 2020b; Helms et al., 2020; Klok et al., 2020; Mao et al., 2020; Oxley et al., 2020). All factored in, these systemic changes likely drive hypoxic brain injury (Figure 1; Iadecola et al., 2020). Consistently, COVID-19 patients often present symptoms related to CNS hypoxia, such as headache, drowsiness, and coma, as well as brain lesions (Chen et al., 2020a; Giacomelli et al., 2020; Mao et al., 2020; Pezzini and Padovani, 2020; Wu et al., 2020a). In brain autopsies of COVID-19 patients, widespread microthrombi and patches of infarction have also been detected, together with neuronal damage in the cerebral cortex, hippocampus, and cerebellum, i.e., brain areas highly vulnerable to hypoxia (Kantonen et al., 2020; Kashani et al., 2020; Solomon et al., 2020) [although these injuries could also be present before COVID-19].

Ischemic-hypoxic brain injury is partially produced by a switch to anaerobic metabolism in brain cells, leading to (i) accumulation of lactic acid in the parenchyma, (ii) oxidative stress, (iii) BBB dysfunction, (iv) cerebral vasodilation, (v) swelling of neurons, (vi) obstruction of blood flow, (vii) inflammation, and (viii) cell death (Fumagalli et al., 2015; Wu et al., 2020b). Microglia rely on ATP to reorganize their cytoskeleton and monitor the brain parenchyma (Atkinson et al., 2004; Davalos et al., 2005; Masuda et al., 2011; Gimeno-Bayón et al., 2014), making them highly sensitive to energy deficits (Fumagalli et al., 2015). During COVID-19-associated hypoxia, it is therefore likely that changes in the ATP micro gradient are sensed by microglial purinergic P2X and P2Y receptors, promoting their migration to the injury site, phagocytosis, and proliferation, as observed in hypoxic injuries of rodents and humans (Davalos et al., 2005; Melani et al., 2006; Wixey et al., 2009; Webster et al., 2013; Fukumoto et al., 2019).

Hypoxia also triggers rodent microglial transcription factors (e.g., hypoxia inducible factor 1, alpha subunit and NFKB), and micro RNAs (miR-s) (e.g., miR-146a, and miR181a/c), both in vitro and in vivo; resulting in the release of TNFA, ROS, IL1B, and IL18, which can help clear cellular debris and resolve the injury (Zhang et al., 2012; Kong et al., 2014; Kiernan et al., 2016; Mukandala et al., 2016; Jiang et al., 2020; Yang et al., 2020b). In response to ischemia-hypoxia, rodent microglia likewise transform morphologically (see Figure 1; Masuda et al., 2011). Acutely, in the cerebral cortex, mouse microglia expand their processes to reach the hypoxic area (Davalos et al., 2005; Hines et al., 2009), but in larger or more sustained injuries, microglia can also adopt an amoeboid morphology (as observed during viral infections) among the hippocampus and neocortex of rodents (Raivich et al., 1999; Stence et al., 2001; Kurpius et al., 2007; Masuda et al., 2011). Whether microglia could react similarly during COVID-19 pathology awaits further research.

Reactive microglia can perform neurotoxic and neuroprotective roles after hypoxic-ischemic injury. Disrupting fractalkine-mediated neuron-microglia signaling, by knocking out CX3CR1 in mice after middle cerebral artery occlusion (MCAO)-induced ischemia, decreased the proliferation of microglia, release of inflammatory molecules, and infiltration of macrophages, culminating in a smaller ischemic lesion (Fumagalli et al., 2013; Tang et al., 2014). Contrastingly, combining PLX3397 driven microglial depletion with high-resolution two-photon calcium imaging in vivo, Szalay et al. (2016) showed 24 h after MCAO that microglial depletion impaired neuronal calcium responses and network activity, while increasing intracellular calcium levels, ultimately leading to exacerbated neuronal damage in mice. Yet, peripheral administration of minocycline, a tetracycline antibiotic that non-specifically normalizes microglial phagocytosis and release of pro-inflammatory mediators (Tikka and Koistinaho, 2001; Tikka et al., 2001; Hanisch and Kettenmann, 2007), attenuated neuronal death in rodent models of ischemia (Yrjänheikki et al., 1998, 1999). Thus, similar to what was previously discussed in section “Putative Responses of Microglia to SARS-CoV-2 CNS Infection” (regarding depleting microglia during CNS viral infection), while completely disrupting microglial function can worsen injury recovery, down-regulating their inflammatory response can be protective. Of note, minocycline treatment has been proposed for COVID-19 (Oliveira et al., 2020).

Microglial nodules and elevated immunostaining for microglial reactivity markers (e.g., IBA1, HLA-DR, and CD68) were detected in numerous brain autopsies of COVID-19 patients also showing recent and older hypoxic/ischemic injuries (Al-Dalahmah et al., 2020; Kantonen et al., 2020; Matschke et al., 2020), accompanied by marked neuronal loss among the cerebral cortex, hippocampus, medulla, and cerebellar Purkinje cell layer (Al-Dalahmah et al., 2020; Solomon et al., 2020). In a patient showing severe global hypoxic changes with hypereosinophilic, shrunken neurons, microglial CD68-positive nodules were surrounding the injured cells in the inferior olives and dentate nuclei, possibly indicating active phagocytic removal (Al-Dalahmah et al., 2020). However, at this point, it is difficult to evaluate whether the observed changes in the resident immune cells stem from the hypoxic injuries associated with the COVID-19. Reactive microglia may arise due to other systemic changes associated with SARS-CoV-2 infection, including the exacerbated peripheral immune response (Al-Dalahmah et al., 2020), as we consider next.

Microglia Respond to the Systemic Inflammatory Response in COVID-19

A well-coordinated immune response represents the first line of defense against viral infection. Yet, if exacerbated, this response may become detrimental, at both the viral entry site and systemic levels. As previously reported for SARS-CoV-1 and MERS-CoV (Channappanavar and Perlman, 2017), a maladaptive innate and adaptive immune response is a hallmark of COVID-19 pathology (Qin et al., 2020). Its most apparent characteristic is an ostensible hyper-inflammation, popularly termed “cytokine storm” prevalent in severely affected patients and significantly contributing to multi-organ failure (Bhaskar et al., 2020; Moore and June, 2020; Ruan et al., 2020). The putative origin of this phenomenon lies in a three-step process, consisting of an initial immune activation, a secondary delayed but possibly prolonged antiviral IFN-mediated response, and an uncontrolled monocyte-macrophage-dendritic cell hyperactivation as well as tissue infiltration (Channappanavar and Perlman, 2017; Merad and Martin, 2020; Moore and June, 2020). Such a process may induce vascular and organ damage on the cellular level and contribute to overall inefficient handling of viral load due to sub-optimal T- and B-cell responses (Channappanavar and Perlman, 2017). Accordingly, a reduction in serum lymphocytes is observed in a subset of COVID-19 patients (Bhaskar et al., 2020; Mathew et al., 2020). Within the cytokine storm framework, elevated circulating levels of an extensive variety of pro- and anti-inflammatory cytokines and chemokines (e.g., IL1; IL1R1; IL6; IL8; IL7; IL10; IL12; IFNG; Transforming growth factor b; CCL2; CXCL10; CXCL9; CX3CL10; CCR1) as well as non-cytokine markers (C-reactive protein, CRP; CSF2; D-dimer; ferritin), were reported in COVID-19 patients up to this point (Heneka et al., 2020; Mathew et al., 2020; Merad and Martin, 2020; Ruan et al., 2020). It should be noted, however, that the profile of this systemic inflammatory response, in terms of individual markers, varied between cohorts, which could either be a consequence of specific profiling of these initial studies or be reflective of a strong individual-specific nature of this response.

Systemic cytokines communicate with the CNS via several pathways, including (i) migration through leaky regions of the BBB, such as the circumventricular organs; (ii) active transport by cytokine-specific transporters expressed on the brain ECs; (iii) activation of brain ECs leading to the production of second messengers; (iv) transmission of the signal via the vagus nerve, and (v) entry via peripherally activated immune cells (Capuron and Miller, 2011). In the CNS, controlled levels of these soluble substances including IL1B, TNF, and IL6 are necessary for the proper function of both neurons and glial cells (Camacho-Arroyo et al., 2009; Borsini et al., 2015). During infection, systemic cytokines stimulate neuroendocrine responses via the activation of the hypothalamus-pituitary-adrenal (HPA) axis and the elevation of the core body temperature, ultimately promoting disease-specific behavioral patterns (i.e., sickness behavior), such as lethargy and reduced appetite (Szelényi, 2001; Dantzer, 2018). In the long-term, however, elevated cytokine levels in the brain parenchyma (Figure 1) serve as a mediator of neurotoxic and neurodegenerative pathology across various disease conditions (Szelényi, 2001; Camacho-Arroyo et al., 2009).

In the context of COVID-19, pathological excess of cytokines may lead to vascular remodeling and BBB leakage, increasing the entry of DAMPs and PAMPs associated with the peripheral viral infection (Figure 1), which could be especially risky in individuals whose BBB is already impaired due to pre-existing disease conditions (Varatharaj and Galea, 2017). This is in line with MRI-detected BBB-related abnormalities present in COVID-19 patients, such as the frequent occurrence of microbleeds, especially in white matter regions (Fitsiori et al., 2020; Kremer et al., 2020; Radmanesh et al., 2020). This BBB permeability may be primarily driven by (i) systemic events, such as tight junction alterations observed in diabetes (Hawkins et al., 2007), which is a risk factor for COVID-19 complications (Guo et al., 2020); or (ii) via direct viral infection of brain ECs (Buzhdygan et al., 2020); and, possibly, (iii) hypercoagulation and associated microthrombi formation, as was previously observed in COVID-19 patients (Dolhnikoff et al., 2020). On the other hand, viral entry and the neuroinflammatory response may even precede BBB impairment, as it has been stipulated for JEV-infected mice (Li et al., 2015; Pezzini and Padovani, 2020).

Considering their key roles in brain homeostasis and neuroinflammation, microglia are particularly sensitive to environmental perturbations (see section “Putative Responses of Microglia to SARS-CoV-2 CNS Infection”) (Hanisch and Kettenmann, 2007; Hoogland et al., 2015). Thus, the increase in circulating cytokines during COVID-19 may induce or exacerbate microglial reactivity (Figure 1; Tremblay et al., 2020), likely worsening the direct viral or hypoxic injuries possibly present in the patients. The long-term duration of the systemic cytokine storm could contribute to a chronically reactive microglial state, adversely impacting the survival of neurons and maintenance of synaptic connections via inflammatory signaling, phagocytosis, and oxidative stress (Savage et al., 2019). Accordingly, in a patient with increased CSF and serum levels of IL6, IL8, and TNF, the microglial marker triggering receptor expressed on myeloid cells 2 (TREM2), associated with neurodegenerative diseases and phagocytosis, was also increased in the CSF, indicating an active inflammatory process in the spinal cord meningeal space (Pilotto et al., 2020a,b). Likewise, the expansion of inflammatory-oriented microglial clusters marked by increased intensity of IBA1, HLA-DR, and CD68 immunoreactivity and increased density of microglial nodules found in post-mortem brains of COVID-19 patients would be in line with this ongoing microgliosis (Mukandala et al., 2016; Matschke et al., 2020). Microgliosis, further possibly accompanied by astrogliosis and brain infiltration of peripheral T-lymphocytes, was mostly localized within the cerebellum and the brainstem of COVID-19 patients (Mukandala et al., 2016; Matschke et al., 2020). Similarly, in mice, the brainstem is among the brain areas most affected by SARS-CoV-1 and MERS-CoV infection (McCray et al., 2007; Netland et al., 2008; DosSantos et al., 2020). As the brainstem is responsible for vital brain functions (e.g., regulation of cardiac and respiratory functions, sleep cycles, and consciousness), this may be of relevance for the development of breathing difficulties associated with COVID-19 (Nouri-Vaskeh et al., 2020). However, as the cohorts analyzed in the above-mentioned studies are still quite small, further research is necessary to confirm these observations.

Microglial-Mediated CNS Inflammation May Contribute to the COVID-19 Associated Neurological Manifestations

Although data is still emerging, reports are indicating that presently, approximately 30% of COVID-19 patients who are hospitalized display neurological symptoms (Helms et al., 2020; Mao et al., 2020), which include malaise, headache, and loss of smell (anosmia) and taste (dysgeusia) (Mao et al., 2020), as well as more serious complications, such as ischemic stroke [associated with significantly higher mortality] (Merkler et al., 2020; Yaghi et al., 2020). Drawing on what has been discussed in the previous sections, next we propose how the neurological abnormalities observed in COVID-19 patients could be related to the neuroinflammation resulting from microglial responses to viral, hypoxic, and inflammatory insults.

Loss of Smell and Taste

Many patients with COVID-19 exhibit symptoms of dysgeusia or anosmia (Eshraghi et al., 2020). Taste buds are regenerated from a stem cell population in the nasal epithelium, the activity of which can be stalled by pro-inflammatory cytokines (Eshraghi et al., 2020). Correspondingly, there are increased serum levels of TNF, IFNG, and IL6 in confirmed COVID-19 patients (Eshraghi et al., 2020). In other diseases where anosmia is seen, it is associated with injury of basal forebrain cholinergic neurons that project to the olfactory bulb, which may drive local microglia to adopt a pro-inflammatory state, contributing to overall neuroinflammation and cell death (Mahalaxmi et al., 2020). Collectively or not, it is thus possible that exacerbated inflammatory responses or CNS hypoxic injuries in COVID-19 patients contribute to these symptoms.

Encephalopathies

The production of inflammatory mediators as a result of brain viral infection, in particular IFNs (MacMicking, 2012), is associated with encephalitis, a condition characterized by inflammation of the brain parenchyma and neurological dysfunction (Alam et al., 2020). While a few cases of encephalitis associated with COVID-19 were reported, it has been suggested that the symptoms used to diagnose the syndrome could be attributed to other conditions in the patients, such as hypoxia, inflammation, and sedation, which lead to encephalopathies (Garg et al., 2020; Iadecola et al., 2020; Maas, 2020). Common in older, hospitalized COVID-19 patients who present exaggerated systemic inflammation (i.e., cytokine storm), encephalopathy is a pathological process that is characterized by diffuse brain dysfunction (Garg et al., 2020; Helms et al., 2020; Najjar et al., 2020). These patients sometimes present anti-SARS-CoV-2 antibodies and inflammatory markers in the CSF, such as IL6 and IL8 (Alexopoulos et al., 2020; Farhadian et al., 2020; Garg et al., 2020), suggesting encephalopathies could also result from viral infection in the brain [although comprehensive studies are currently lacking].

The presence of anti-viral antibodies and cytokines in the CSF also indicates a potential disruption of the BBB, which may allow for increased inflammatory mediator infiltration into the brain. Enhanced BBB permeability is in line with MRI findings, such as microbleeds, in COVID-19 patients (see section “Microglia Respond to the Systemic Inflammatory Response in COVID-19”) (Fitsiori et al., 2020; Kremer et al., 2020; Radmanesh et al., 2020). Synergistically or not, these stimuli could lead to phenotypic changes of microglia, as supported by post-mortem brain autopsies of COVID-19 patients (see section “Putative Responses of Microglia to SARS-CoV-2 CNS Infection”) (Deigendesch et al., 2020; Matschke et al., 2020). In parallel, a recent report showed enhanced TREM2 protein levels in the CSF of a patient with COVID-19-associated encephalopathy, along with increased protein levels of IL6, IL8, and TNF in both CSF and serum (see section “Microglia Respond to the Systemic Inflammatory Response in COVID-19”) (Pilotto et al., 2020b). The patient robustly responded to steroid treatment, further supporting the argument that the observed encephalopathy was related to a CNS-inflammatory induced event (Pilotto et al., 2020b). While this awaits further research, reactive microglia may contribute to worsening encephalopathy prognosis by ensuing neuroinflammation in COVID-19.

Increased microglial cytokine production, associated or not with BBB breakdown, can also lead to enhanced neuronal excitability and excitotoxic glutamate signaling, possibly provoking seizures, a clinical manifestation of encephalopathies present in COVID-19 patients (Nikbakht et al., 2020). Still, the generation of these seizures may be linked to other microglia-related pathways, including (i) ischemic stroke–which may be due to a microglial response to angiotensin II (see section “Cerebrovascular Disease”), and (ii) mitochondrial dysregulation–which may be caused by an increase in microglial production of ROS (Nikbakht et al., 2020). In mice, excessive extracellular glutamate recruits microglia (Dissing-Olesen et al., 2014; Eyo et al., 2014, 2018), and impairs their phagocytic activity in different epilepsy models (Abiega et al., 2016; Sierra-Torre et al., 2020). Both the microglial recruitment and phagocytosis uncoupling in these models were connected to the disruption of ATP signaling (Eyo et al., 2014, 2018; Abiega et al., 2016; Sierra-Torre et al., 2020), which, as discussed in sections “Microglia Mediate How the CNS Is Affected by SARS-CoV-2 Infection” and “Microglia Could Determine How the CNS Is Affected by COVID-19 Pathology,” can occur during viral and hypoxic injuries. Therefore, during COVID-19, not only can microglia contribute to the onset of seizures, but their reparative activity may also be impaired by the SARS-CoV-2-CNS-related insults.

Demyelination

In the periphery, there are several inflammatory changes associated with COVID-19, one being the activation of the NLR family pyrin domain containing 3 (NLRP3) inflammasome (Freeman and Swartz, 2020; van den Berg and te Velde, 2020), which potentially contributes to generating the previously discussed cytokine storm (Mehta et al., 2020). In the brain, activation of this inflammasome is a risk factor for developing or worsening multiple sclerosis (Soares et al., 2019) and also Alzheimer’s disease (AD) (see section “Neurodegenerative Diseases”) (Tejera et al., 2019; Heneka et al., 2020), potentially through shifting microglia and macrophages toward pro-inflammatory phenotypes leading to demyelination (Di Stadio et al., 2020). Remarkably, multifocal brain demyelination has been observed in a few cases of COVID-19 (Handa et al., 2020; Zanin et al., 2020). In mice, microglia phagocytose myelin after damage, a crucial step in remyelination (Lampron et al., 2015; Domingues et al., 2020). By contrast, excessive microglial antiviral IFNG response is thought to be the major cause of demyelination in a mouse model of encephalomyelitis (Savarin and Bergmann, 2018). Whether demyelination in COVID-19 is a result of viral or inflammatory-mediated process(es) remains to be investigated, yet, in either case, microglial cytokine production and phagocytosis are likely implicated in this response.

Cerebrovascular Disease

Although the numbers are increasing rapidly, at least 200 cases of cerebrovascular disease have been reported in association with COVID-19, the majority being caused by ischemic strokes (Ellul et al., 2020; Varatharaj et al., 2020). Accordingly, new and older hypoxic/ischemic injuries were present in numerous brain autopsies of COVID-19 patients (Al-Dalahmah et al., 2020; Kantonen et al., 2020; Matschke et al., 2020; Schaller et al., 2020; Solomon et al., 2020; Weyhern et al., 2020), sometimes accompanied by neuronal loss in the cerebral cortex, hippocampus, and cerebellar Purkinje cell layer (Solomon et al., 2020), as well as brainstem (see section “Microglia Respond to COVID-19-Associated Hypoxia”) (Al-Dalahmah et al., 2020; Weyhern et al., 2020). While most affected patients either already suffer from or belong to high-risk groups for cerebrovascular comorbidities, SARS-CoV-2 seems to increase the risk/rate/prevalence of stroke even in more resilient younger individuals (Ellul et al., 2020). The high incidence of stroke in COVID-19 affected individuals may be partially explained by SARS-CoV-2-associated ECs damage, activating thrombotic and inflammatory pathways, in the CNS and systemically (Varga et al., 2020). Alternatively, SARS-CoV-2 is proposed to, through signaling at the angiotensin type I receptor (AT1R) expressed by microglia, increase the release of pro-inflammatory cytokines (Murta et al., 2020), further inducing vasoconstriction, neuroinflammation, oxidative stress, and cell death (Arroja et al., 2016).

Acute brain hypoxia deriving from systemic COVID-19 and cerebrovascular disease could direct microglial activity toward increased phagocytosis contributing to abnormal neuroplasticity (Serrano-Castro et al., 2020). Reports using pharmacological or genetic depletion of microglia in mice showed a severe reduction of stroke-related injury (Fumagalli et al., 2013; Tang et al., 2014). At the same time, inflammation contributes to injury recovery, helping in immune cell recruitment, scar formation, and astrocytic reactivity (Kim and Cho, 2016). The heterogeneity in microglial phenotypes and subtypes increasingly reported in the literature is proposed as an explanation for the seemingly opposite effects, both neurotoxic and neuroprotective, of these cells observed upon hypoxic/ischemic injury (Stratoulias et al., 2019; Lyu et al., 2020). Despite the lack of comprehensive studies assessing recent territorial ischemic lesions and microglial functions during COVID-19, all autopsied patients with hypoxic injury also showed a history of at least one comorbidity, such as hypertension, diabetes, kidney failure, or obesity among others (Kantonen et al., 2020; Matschke et al., 2020; Schaller et al., 2020; Solomon et al., 2020; Weyhern et al., 2020). Although it is unclear whether these ischemic lesions stem from current COVID-19 infection, comorbidities linked to heightened inflammation, such as pulmonary and cardiac diseases, may indirectly influence microglial reactivity and the release of pro-inflammatory cytokines (Patterson, 2015).

In contexts where microglia are already primed, a secondary immune challenge, such as SARS-CoV-2 infection, may further direct their activity toward neurotoxicity (Serrano-Castro et al., 2020). Primed microglia are thought to abnormally perform their physiological functions, impairing neurogenesis, synaptogenesis, and the structural as well as functional plasticity of brain circuits (Norden et al., 2015; Tay et al., 2017b). Importantly, ensuing neuroinflammation mediated by the activity of microglia, but also astrocytes, is thought to damage the neural tissue and impair synaptic plasticity, critically diminishing cognitive abilities (Lee et al., 2008; Pistell et al., 2010; Davydow et al., 2013; Di Filippo et al., 2013). Thus, in susceptible individuals, an exacerbated inflammatory response of primed microglia to SARS-CoV-2 infection may underlie the onset of disease pathology, including that of psychiatric disorders or neurodegenerative diseases (Norden et al., 2015; Tay et al., 2017b). Furthermore, cerebrovascular events in COVID-19 patients are most prevalent in aging (Ellul et al., 2020; Iadecola et al., 2020), and dysfunctional microglial activity is elevated in older compared to younger individuals (see section “Neurodegenerative Diseases”). Therefore, while hypoxic injuries in COVID-19 patients may be a result of previous chronic conditions, we hypothesize that an already pathological central immune regulation will be further affected by hypoxia-induced upon SARS-CoV-2 infection, leading to exacerbated injury, possibly mediated by primed microglia. As a result, affected individuals would be more at risk to develop neurological symptoms during COVID-19 (Marshall, 2020).

Neurodegenerative Diseases

Microglial PRR signaling is fundamental to the antiviral IFN response in the brain, particularly at early time points after infection (see section “Putative Responses of Microglia to SARS-CoV-2 CNS Infection”) (Nakagaki et al., 2005; Wheeler et al., 2018; Mangale et al., 2020). IFNs can induce a pro-inflammatory phenotype in microglia, and elevate complement-mediated synaptic pruning in mouse models of AD, the most common cause of dementia worldwide (Hong et al., 2016; Naughton et al., 2020; Roy et al., 2020). Analysis of human AD post-mortem tissue found that plaque-associated IBA1-positive microglia were also immunopositive for the interferon induced transmembrane protein 3 and AXL receptor tyrosine kinase, in line with an IFN pathway activation in AD (Roy et al., 2020). RNA-seq analysis of human AD post-mortem brains also showed a robust correlation between IFN and complement pathways (Roy et al., 2020). A similar phenomenon may occur with SARS-CoV-2 infection, where a viral-induced increase in IFN could lead to increased complement-mediated loss of synapses, resulting in memory or cognitive deficits, across psychiatric, aging, and neurodegenerative conditions.

At the same time, as previously mentioned, NLRP3 inflammasome activation is one of the hallmarks of COVID-19 (Freeman and Swartz, 2020; van den Berg and te Velde, 2020). In humans and mice, the NLRP3 inflammasome plays an important role in AD (Tejera et al., 2019). In mice expressing a human mutation associated with AD, NLRP3 knockout led to enhanced amyloid phagocytosis by microglia, and induced the mRNA expression of anti-inflammatory factors in these cells, including Arginase 1 and Il4 (Heneka et al., 2013). In the same AD model, NLRP3-knockout also prevented microglial morphological changes after a lipopolysaccharide (LPS) challenge, according to in vivo two-photon scanning imaging of the somatosensory system (Tejera et al., 2019). Furthermore, in murine models of tauopathy, NLRP3 accounts for the formation of neurofibrillary tangles, another important component of AD pathology (Ising et al., 2019). Therefore, the increased activation of this complex and the subsequent production of pro-inflammatory factors may induce or worsen neurodegenerative pathology in COVID-19 (Heneka et al., 2020). In addition, in a SARS-CoV-2 infected individual, TREM2 was found to be increased in CSF (Pilotto et al., 2020b). According to human genome-wide association studies, TREM2 variants in microglia are associated with increased risk for AD (Guerreiro et al., 2013) and TREM2 CSF levels strongly associate with CSF levels of tau and phosphorylated tau, important biomarkers for AD (Cruchaga et al., 2013). These findings emphasize the risk for neurodegeneration and correspondent cognitive decline in COVID-19 patients (Heneka et al., 2020).

Parkinson’s disease is often associated with the accumulation of misfolded synuclein alpha leading to a progressive loss of dopaminergic neurons in the substantia nigra pars compacta (Lecours et al., 2018). Although there is not yet a reported association with SARS-CoV-2 and parkinsonism, other viruses are associated with a transient form or an increase in the risk of developing PD, partially through microglial reactivity, phagocytosis, and release of pro-inflammatory factors (Sulzer et al., 2020). For example, mouse intranasal infection by influenza viruses (both invading and not invading the CNS) led to an increase in IBA1-positive microglia in the substantia nigra, associated either with neuronal transient loss of function or death (Jang et al., 2009; Sadasivan et al., 2015; Tulisiak et al., 2019; Sulzer et al., 2020). Furthermore, during COVID-19, the cytokine storm and the increased AT1R microglial activity may enhance their release of pro-inflammatory cytokines in the CNS (Murta et al., 2020), which may exacerbate protein misfolding and aggregation, mitochondrial dysfunction, and induce a deficiency in autophagy in the brain of SARS-CoV-2 infected individuals (Lippi et al., 2020; Sulzer et al., 2020). This, in turn, may accelerate the development of neurodegenerative disorders, such as PD and AD.

This risk is particularly relevant in older individuals, who have the most severe course of COVID-19, worst post-infection outcomes, and highest mortality rates (Ruan et al., 2020). Importantly, higher ACE2 expression in ECs was found in COVID-19 cases with a history of dementia and hypertension, characterized also by worse outcomes of the infection (Buzhdygan et al., 2020). Indeed, although still understudied, neurological symptoms of COVID-19 are currently shown to be more common in aged patients, along with those with chronic diseases (e.g., diabetes, hypertension) or more severe infections (Mao et al., 2020). Notably, older age is associated with a so-called “inflammaging” phenomenon; an overall decline in immune system efficiency, marked by an elevation of inflammatory markers both in the periphery and CNS (Hammond et al., 2019; Domingues et al., 2020). Older individuals also often display increased numbers of microglia with dystrophic (i.e., smaller cell bodies, seemingly fragmented and tortuous or beaded processes) and reactive morphologies (Streit et al., 2004; Sierra et al., 2007), with the latter partly supporting the concept of microglial priming (Bilbo and Tsang, 2010; Norden et al., 2015; Niraula et al., 2017). Of note, while senescent microglia are frequently used as a synonym for a dystrophic phenotype; it is yet unclear whether this association is valid (Angelova and Brown, 2019). Function-wise, microglia in aged organisms are less motile and less capable of mediating debris clearance (Hefendehl et al., 2014; Safaiyan et al., 2016; Flowers et al., 2017; Marschallinger et al., 2020). When exposed to a challenge, e.g., LPS or laser-induced focal injury, aged microglia, despite being slow to react, can generate an excessive inflammatory response (Sierra et al., 2007; Frank et al., 2010; Damani et al., 2011; Hefendehl et al., 2014; Tejera et al., 2019). For instance, the slower response of aged mouse microglia to a laser-induced focal injury, in the retina and cerebral cortex, was suggested to prevent tissue restoration and contribute to chronic local neuroinflammation (Damani et al., 2011; Hefendehl et al., 2014). After SARS-CoV-2 infection, a dysfunctional response of aged microglia, likely exacerbated by the cytokine storm and hypoxia, may underlie the accelerated cognitive decline observed in aged patients (who did not previously display altered cognition) after a single episode of pneumonia (Shah et al., 2013), a clinical complication that is frequently reported for COVID-19. The molecular basis of this effect could be related to axonal degeneration and myelin loss which were both observed in association with COVID-19 (Handa et al., 2020; Reichard et al., 2020).

Taken together, there is some evidence that microglia are altered upon SARS-CoV-2 infection. Yet, given COVID-19’s novelty, the roles of microglia in the pathogenesis of the disease, particularly in its neurological consequences, are still elusive. Evidence from other viral infections (whether neurotropic or not) points to a potential microglial role in the loss of taste/scent, encephalopathy, cerebrovascular disease, epilepsy, neurodegeneration, and neuropsychiatric concerns (see section “Microglia Respond to Psychosocial Stress”). Furthermore, pre-existing chronic conditions and advanced age may also alter microglia in a way that biases them toward a deleterious contribution to the neurological symptoms. Future work will be essential to clarify the mechanisms underlying the role of microglia in COVID-19’s pathogenesis in the CNS.

The CNS Is Affected by the Psychosocial Stress Imposed by the COVID-19 Pandemic

The CNS Is Affected by Psychosocial Stress

On top of the putative neurological burden imposed on infected individuals, the COVID-19 pandemic is associated with increased psychological stress, among both the infected and non-infected populations (Kempuraj et al., 2020; Park et al., 2020). Psychosocial stress is a state of mental, emotional, or physiological strain that results from demanding life circumstances, and persistent maladaptive stress responses are related to various disease conditions including mental health disorders (Tian et al., 2017). To investigate the degree of perceived stress during the pandemic, studies have mainly used self-reporting surveys (Brooks et al., 2020; Ellis et al., 2020). For example, in the United States, electronic health records of 62,354 patients with COVID-19 revealed a significant increase in the prevalence of first diagnosis or relapses of anxiety disorders, insomnia, and dementia, in the 14–90 days following SARS-CoV-2 detection, compared to other health perturbations, such as respiratory and viral infections (Taquet et al., 2020). At the same time, although the percentage of affected individuals varies between reports, survivors of SARS-CoV-1 infection can exhibit impaired memory, sleep disturbance, increased levels of stress, depression, anxiety, and post-traumatic stress disorder (PTSD) symptoms up to 8 years after infection (Wu et al., 2005; Lee et al., 2007; Hong et al., 2009; Lam et al., 2009; Moldofsky and Patcai, 2011). Therefore, psychiatric long-term effects of SARS-CoV-2 infection are also expected.

In the non-infected population, the COVID-19 pandemic imposes a considerable situational stress (Troyer et al., 2020). Fear of being infected, or dying, and uncertainty of the future all contribute to the psychological distress lived by the population (Li et al., 2020b; Mazza et al., 2020; Satici et al., 2020). Social isolation resulting from social distancing and quarantine, changes in lifestyle including sleep, economic recession, financial loss, as well as boredom, misinformation, and overexposure to media coverage of the pandemic can further contribute to this burden (Brooks et al., 2020; Garfin et al., 2020; Kim et al., 2020; Thakur and Jain, 2020). These circumstances along with several others, such as student status, poor self-rated health, higher perceived stress load, worry about family, friends, and other acquaintances suspected of COVID-19, together with less family support, were all associated with an increased risk of developing depressive or anxious symptoms during the pandemic (Vindegaard and Benros, 2020). Accordingly, these stress-contributing circumstances were shown to exacerbate stress-related disorders (Horesh and Brown, 2020) in previous health and economic crises, potentially leading to clinical depression, psychosis, and suicidal tendencies (Chan et al., 2006; Rhodes et al., 2010; Pfefferbaum et al., 2012; Ng et al., 2013).

Certain populations are likely to experience worsened consequences of stressor exposure (Holmes et al., 2020). Susceptible populations include (i) older adults with multiple co-morbidities, (ii) stay-at-home children and women that suffer domestic violence or maltreatment, (iii) people with pre-existing mental health issues or learning difficulties, (iv) health-care workers, as well as (vi) groups struggling socio-economically (Holmes et al., 2020). Regrettably, only a few COVID-19 surveys have yet looked at the non-infected vulnerable groups, such as people with pre-existing mental health conditions. In patients with eating disorders, the symptomatology worsened in 37.5% of responders, whilst 56.2% reported additional anxiety (Fernández-Aranda et al., 2020). In a psychiatric hospital in China, 2,065 outpatients further reported a prevalence of 25.5% anxiety, 16.9% depression, and 26.6% insomnia symptoms, with 20.9% of patients with pre-existing psychiatric disorders presenting a deterioration of their overall mental health state (Zhou et al., 2020). Regarding health-care workers, the majority of papers reveal their increased anxiety, as well as depressive and obsessive-compulsive disorder (OCD) symptoms (Vindegaard and Benros, 2020) [although longitudinal studies are currently lacking in general].

As stress is a prominent risk factor for neurodevelopmental disorders (Bordeleau et al., 2019; Comer et al., 2020), stress loads also need to be investigated in children living during the COVID-19 pandemic. In a survey of 1,054 Canadian adolescents, results indicated increased levels of concern on schooling and peer-relationship while feeling more loneliness and depressive emotions, especially for individuals engaging in longer virtual meetings with friends (Ellis et al., 2020). Although necessary for reducing the spread of the disease, by limiting contact between people, such as between aid specialists and affected populations, there may be reduced access to resources that could alleviate their stress. It is also important to consider children with mood disorders, which can be exacerbated by the pandemic, as well as children with autism spectrum disorders (ASD) or attention-deficit hyperactivity disorder (ADHD) whose lifestyle is disrupted by the change of habits and familiar structures during the pandemic (Jefsen et al., 2020). Overall, children in confinement are subject to reduced physical activity, irregular sleep pattern, and less favorable diets (Carroll et al., 2020; Wang et al., 2020c), which along with their fear-induced chronic stress, loneliness, and viral infection (possibly from COVID-19), represent strong risk factors for developing ASD, ADHD, psychosis, depression, or schizophrenia (Sormunen et al., 2017; Bordeleau et al., 2019; Reeve et al., 2019; Comer et al., 2020). Another risk factor for neurodevelopmental disorders not mentioned yet consists of low family income (Carlsson et al., 2020) for which the number most likely went up during the pandemic with massive job losses (Blustein et al., 2020); together with significant market and bank set-back (Goodell, 2020).

More studies are available looking at mental health distress in the general population. In an online survey that assessed the levels of psychological impact and stress during the initial stage of the COVID-19 outbreak in China, the responses of 1,210 subjects showed that 8.1, 28.8, and 16.5% had moderate to severe stress levels, or anxiety and depression symptoms, respectively (Wang et al., 2020a). The overall mean Impact of Event Scale-Revised (IES-R) score for respondents also indicated the presence of PTSD symptoms (Wang et al., 2020a). In another study with 1,041 Irish respondents, 17.67% met PTSD diagnostic requirements during the lockdown, similar to what the same group found in a parallel study for the United Kingdom (16.79%) (Karatzias et al., 2020). In a large population-based survey conducted in China with almost 53,000 respondents, ∼35% experienced psychological distress (Qiu et al., 2020). Analysis of Weibo (a leading Chinese online social network) posts, based on the approach of Online Ecological Recognition, from almost 18,000 active users, also determined that negative emotions, such as anxiety, depression, and indignation, increased during the pandemic, while positive emotions, like happiness and life satisfaction, significantly decreased (Li et al., 2020a). Moreover, in a Danish study with 2,458 respondents, the World Health Organization Five Well-Being Index (WHO-5) (a psychometrically valid measure of psychological well-being experienced over the past 2 weeks), yielded significantly lower scores during the pandemic compared to results obtained in 2016 (Sønderskov et al., 2020). Likewise, the proportion of respondents for whom assessment for depression should be sought increased compared to the previous survey in 2016 (Sønderskov et al., 2020). Considering the widespread impact of the pandemic, we highlight the need for longitudinal studies investigating stress levels in other cohorts, such as in developing countries or established vulnerable groups, which would allow for a more accurate understanding of stress levels worldwide. In addition, considering the inter-individual response to stress, it would be very important to include additional measures of resilience or vulnerability in these studies.

Microglia Respond to Psychosocial Stress

It is well established that psychological stress increases the production of pro-inflammatory mediators, peripherally and throughout numerous brain regions implicated in stress-associated neuropsychiatric disorders (Vecchiarelli et al., 2016a; Wohleb and Delpech, 2017; Johnson et al., 2019). Whether it is acute or chronic, stress triggers the sympathetic nervous system, and HPA axis activity, to release catecholamine and glucocorticoids, respectively, from the adrenal glands (Sapolsky et al., 2000). Microglia generally respond to elevated glucocorticoids, cytokines, and catecholamines by altering their density, changing their morphology, and producing pro-inflammatory molecules, i.e., reactivity (Figure 1; Tian et al., 2017). These changes have been linked to the effects of acute stress on the motivational state and cognitive function of the organism, but also to the neurological consequences of prolonged exposure to stress, including atrophy of neuronal dendrites, synaptic loss, and glutamate excitotoxicity (Frank et al., 2019). In line with this, the stress response of microglia is implicated in the pathogenesis of (i) neurodevelopmental conditions, such as ASD and ADHD (Bordeleau et al., 2019), (ii) neuropsychiatric disorders, such as major depressive disorder (MDD), generalized anxiety disorder (GAD), and PTSD (Dantzer et al., 2008; Miller et al., 2009; Haroon et al., 2012; Maes et al., 2012; Leonard, 2014), as well as (iii) neurodegenerative diseases, for instance, AD (Bisht et al., 2018) and PD (Lecours et al., 2018).

Stress and Neurodevelopmental Disorders

During critical periods of brain development, exposure to environmental factors (e.g., psychosocial stress) or genetic vulnerabilities, can trigger the onset of neurodevelopmental disorders (Chaste and Leboyer, 2012; Karmiloff-Smith et al., 2012; Wallace, 2016; Carlsson et al., 2020). Correspondingly, rodent models of prenatal maternal stress, induced by sleep deprivation, exposure to bright light, injection of LPS, or of the viral mimic polyinosinic:polycytidylic acid (Poly I:C), produce offspring that have elevated levels of pro-inflammatory markers, as well as impaired microglial density, maturation, and distribution in the postnatal brain, ultimately affecting neurogenesis, synaptic pruning, and brain functional connectivity (Bordeleau et al., 2019). Glucocorticoids and DAMPs released by cellular stress also prime the pro-inflammatory response of microglia ex vivo and in vivo (Frank et al., 2019). Primed microglia display an increased expression of genes related to phagocytosis, cellular proliferation, and vesicular release, leading to an exacerbated inflammatory response upon exposure to a subsequent challenge. Priming may also occur following acute peripheral inflammation and the increase of circulating cytokines during COVID-19 (see section “Microglia Respond to the Systemic Inflammatory Response in COVID-19”). This could be particularly relevant for children and adolescents infected by SARS-CoV-2 which, despite presumed lower vulnerability to COVID-19 (Lee et al., 2020), are at a critical moment of brain maturation. The same holds for fetuses in pregnant people infected by the virus. A disrupted physiological microglial function may partially explain why maternal stress, and childhood maltreatment, including physical or emotional neglect, are major risk factors for neurodevelopmental disorders and adult psychiatric conditions later in life, such as MDD, PTSD, and GAD (Tay et al., 2017a). Accordingly, impairment of microglial support during critical windows of brain development due to psychosocial stress suggests that infants, children, and adolescents are likely to experience worse neurodevelopmental effects during and after the pandemic (Holmes et al., 2020), possibly potentiated by concomitant SARS-CoV-2 infection (see section “Microglial-Mediated CNS Inflammation may Contribute to the COVID-19 Associated Neurological Manifestations”).

Stress and Mental Health in Adulthood and Aging

Psychosocial stress during adulthood does not only increase the risk for MDD and PTSD, but also accelerates cognitive aging, as well as AD and PD progression (Schneiderman et al., 2005; Farrell et al., 2017; Tay et al., 2017a; Benson et al., 2018; Barrero-Castillero et al., 2019; Lähdepuro et al., 2019). Correspondingly, initial reports indicate increased incidence of MDD, anxiety, and PTSD in the general population during the pandemic (Karatzias et al., 2020; Li et al., 2020a; Sønderskov et al., 2020; Wang et al., 2020a). In adult rodents, chronic unpredictable stress (CUS) and social defeat stress models were shown to induce significant increases in microglial density and morphological alterations within areas associated with the stress response and emotion processing (Figure 1; Tynan et al., 2010; Wohleb et al., 2011, 2013; Kopp et al., 2013; Lehmann et al., 2016; Tay et al., 2017a; Nie et al., 2018), although there are many contradictory reports (Tay et al., 2017a). Similar microglial changes were also reported in humans, with post-mortem brains presenting increased microglial density, morphological transformation, and expression of translocator protein 18 kDa (TPSO), which is up-regulated in reactive microglia and astrocytes, across patients with ASD, schizophrenia, MDD, and bipolar disorder (Tay et al., 2017a). Increased IBA1-positive or HLA-DR-positive microglial immunostaining was also encountered in the prefrontal cortex, anterior cingulate cortex, and thalamus of people who have died by suicide (Steiner et al., 2008; Torres-Platas et al., 2014).

The stress-induced increased microglial density and reactivity may account for exacerbated oxidative stress, neuroinflammation, and pathological synaptic remodeling, which are together associated with the development of mental health disorders (Zhao et al., 2015; Milior et al., 2016). For instance, in mice, CUS has been shown to increase the number of phagocytic inclusions containing neuronal elements per IBA1-positive microglial process (Wohleb et al., 2011, 2013), which is suggestive of augmented synaptic pruning. Considering that synaptic loss is the best pathological correlate of cognitive decline in MDD, schizophrenia, aging, and neurodegenerative diseases (Terry et al., 1991; Tay et al., 2017a), modulating the synaptic remodeling executed by microglia in response to stress could allow to mitigate the detrimental effects of psychosocial stress. To do so, one alternative could be to target fractalkine signaling between neurons and microglia, via CX3CR1, since several works suggest that CX3CR1-deficient mice are resistant to the deleterious effects of chronic stress exposure (Tay et al., 2017a). Specifically, in adult mice, CX3CR1-deficiency prevented the effects of CUS on neuronal plasticity in the hippocampus CA1 region, as well as the emergence of depressive-like behavior (Milior et al., 2016). These mice were also found to be resistant to stress-induced microglial hyper-ramification in the dentate gyrus, and depression-like behavior under the forced swim paradigm (Hellwig et al., 2016). Of note, disrupting this pathway appears detrimental during pre- and postnatal development (Paolicelli et al., 2011; Squarzoni et al., 2014; Zhan et al., 2014), and during viral and hypoxic injuries (see sections “Putative Responses of Microglia to SARS-CoV-2 CNS Infection” and “Microglia Respond to COVID-19-Associated Hypoxia”), thus, more research is necessary to determine the feasibility of this approach.

Stress resulting from the pandemic (and viral infection) could also enhance the activity or development of microglia associated with higher synaptic pruning activity, for instance, “dark microglia,” which could be targeted specifically (Bisht et al., 2016; El Hajj et al., 2019; Savage et al., 2020; St-Pierre et al., 2020). There are also stress-induced microglial-mediated changes in neurotransmitter synthesis, altogether allowing for a neural environment where neuroinflammation and alterations in neuronal activity contribute to the development of mental health diseases. In response to inflammatory stimuli or stress, in microglia, the tryptophan metabolite kynurenine [from the indoleamine 2,3-dioxygenase (IDO) pathway] is used to form quinolinic acid, a glutamate ionotropic receptor agonist [N-methyl-D-aspartate receptor (NMDAR)] (Capuron et al., 2002; Schwarcz et al., 2012; Vecchiarelli et al., 2016b). Remarkably, there is an increase in the expression of genes involved in tryptophan metabolism with COVID-19 (Gardinassi et al., 2020), which could lead to glutamate excitotoxicity and divert tryptophan away from serotonin synthesis toward kynurenine metabolism (Capuron et al., 2002; Schwarcz et al., 2012; Vecchiarelli et al., 2016b), associated with anxiety, mood disorders, psychosis, and cognitive decline. This is likely contributed to by the systemic inflammation associated with COVID-19.

The effects of stress on microglia depend on the type, duration, and frequency of the exposure (Yirmiya and Goshen, 2011; Calcia et al., 2016). The myriad of psychosocial stressors during the pandemic will likely have diverse effects on microglia, but we hypothesize that vulnerable groups carrying an already primed immune response, for instance, due to aging, chronic disease, or a history of mental distress, will experience more pro-inflammatory outcomes, in turn, resulting in an increased risk for psychiatric disorders. We highlight the potential threat of a global mental health crisis affecting these populations and the urgent need for policies that provide targeted care, including access to the COVID-19 vaccine.

Discussion and Conclusion

The COVID-19 pandemic possibly affects the CNS through viral infection, hypoxic-injuries, and increased cytokine circulation in SARS-CoV-2 infected individuals, but also by psychosocial stress, in both non-infected and infected populations. Microglia, crucial to physiological and immune functions of the brain, respond to these insults in diverse ways. In a model of murine coronavirus infection (JMHV), ablation of these cells with CSFR1 inhibition promoted deleterious outcomes, including increased animal mortality, viral replication, T cell infiltration, and demyelination (Mangale et al., 2020). Microglial depletion also exacerbates stroke-injury and reduces neurogenesis (Lalancette-Hébert et al., 2007; Szalay et al., 2016). This indicates, at least in some models of CNS viral infection and CNS injury, that microglia (amongst other cells) serve a protective role, and that their reduced presence allows for even more deleterious effects. However, in the context of a cytokine storm or after exposure to chronic psychosocial stress, microglia can become altered in their function and then increase the release of inflammatory mediators, generating pathogenic effects associated with neurological and psychiatric conditions. These combined findings highlight a need to understand how microglia (and their different subtypes) may switch temporally from contextually beneficial states to harmful ones. This knowledge would be valuable to mitigate harmful CNS outcomes of COVID-19 pandemic, and possibly its long-term consequences on neurodevelopmental, psychiatric, and neurodegenerative conditions. Alternatively, although this awaits further research, in critical groups, for instance, aged individuals or cohorts with pre-existing conditions, modulating the pro-inflammatory activity of microglia upon SARS-CoV-2 detection, via minocycline (Oliveira et al., 2020), for example, may help avoid unwanted neurological outcomes. The same holds for individuals with a history of mental health disorders, for which the reduction of dysfunctional microglial synaptic remodeling may prevent the worsening of mental distress associated with the pandemic.

Author Contributions

EGA and M-ÈT conceptualized the manuscript topic with input from all authors. MC created the figure included in the manuscript with the help of EGA and EŠ. All authors contributed to the writing and editing of the manuscript.

Conflict of Interest

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

Acknowledgments

We are grateful to Marie-Kim St-Pierre for her insightful revision of the manuscript.

Footnotes

Funding. This work was supported by the Natural Sciences and Engineering Research Council (NSERC) Discovery and Canadian Institute of Health Research (CIHR) Foundation grants awarded to M-ÈT. EGA and EŠ were supported by a Graduate Entrance Award from the University of Victoria. HAV was supported by a CIHR Postdoctoral Fellowship and a Michael Smith Foundation for Health Research (MSFHR) Research Trainee Award. MC was supported by a master training award from Fonds de recherche du Québec–Santé (FRQS). M-ÈT is a Canada Research Chair (Tier II) in Neurobiology of Aging and Cognition.

References

  1. Abbott N. J., Rönnbäck L., Hansson E. (2006). Astrocyte–endothelial interactions at the blood–brain barrier. Nat. Rev. Neurosci. 7 41–53. 10.1038/nrn1824 [DOI] [PubMed] [Google Scholar]
  2. Abiega O., Beccari S., Diaz-Aparicio I., Nadjar A., Layé S., Leyrolle Q., et al. (2016). Correction: neuronal hyperactivity disturbs ATP microgradients, impairs microglial motility, and reduces phagocytic receptor expression triggering apoptosis/microglial phagocytosis uncoupling. PLoS Biol. 14:e1002554. 10.1371/journal.pbio.1002554 [DOI] [PMC free article] [PubMed] [Google Scholar]
  3. Aggarwal G., Lippi G., Michael Henry B. (2020). Cerebrovascular disease is associated with an increased disease severity in patients with Coronavirus Disease 2019 (COVID-19): a pooled analysis of published literature. Int. J. Stroke Off. J. Int. Stroke Soc. 15 385–389. 10.1177/1747493020921664 [DOI] [PubMed] [Google Scholar]
  4. Agyeman A. A., Chin K. L., Landersdorfer C. B., Liew D., Ofori-Asenso R. (2020). Smell and taste dysfunction in patients with COVID-19: a systematic review and meta-analysis. Mayo Clin. Proc. 95 1621–1631. 10.1016/j.mayocp.2020.05.030 [DOI] [PMC free article] [PubMed] [Google Scholar]
  5. Ajami B., Bennett J. L., Krieger C., Tetzlaff W., Rossi F. M. V. (2007). Local self-renewal can sustain CNS microglia maintenance and function throughout adult life. Nat. Neurosci. 10 1538–1543. 10.1038/nn2014 [DOI] [PubMed] [Google Scholar]
  6. Al Saiegh F., Ghosh R., Leibold A., Avery M. B., Schmidt R. F., Theofanis T., et al. (2020). Status of SARS-CoV-2 in cerebrospinal fluid of patients with COVID-19 and stroke. J. Neurol. Neurosurg. Psychiatry 91 846–848. 10.1136/jnnp-2020-323522 [DOI] [PubMed] [Google Scholar]
  7. Alam S. B., Willows S., Kulka M., Sandhu J. K. (2020). Severe acute respiratory syndrome coronavirus 2 may be an underappreciated pathogen of the central nervous system. Eur. J. Neurol. 27 2348–2360. 10.1111/ene.14442 [DOI] [PMC free article] [PubMed] [Google Scholar]
  8. Al-Dalahmah O., Thakur K. T., Nordvig A. S., Prust M. L., Roth W., Lignelli A., et al. (2020). Neuronophagia and microglial nodules in a SARS-CoV-2 patient with cerebellar hemorrhage. Acta Neuropathol. Commun. 8:147. 10.1186/s40478-020-01024-2 [DOI] [PMC free article] [PubMed] [Google Scholar]
  9. Alexopoulos H., Magira E., Bitzogli K., Kafasi N., Vlachoyiannopoulos P., Tzioufas A., et al. (2020). Anti-SARS-CoV-2 antibodies in the CSF, blood-brain barrier dysfunction, and neurological outcome: Studies in 8 stuporous and comatose patients. Neurol. Neuroimmunol. Neuroinflammation 7:e893. 10.1212/NXI.0000000000000893 [DOI] [PMC free article] [PubMed] [Google Scholar]
  10. Alquisiras-Burgos I., Peralta-Arrieta I., Alonso-Palomares L. A., Zacapala-Gómez A. E., Salmerón-Bárcenas E. G., Aguilera P. (2020). Neurological complications associated with the blood-brain barrier damage induced by the inflammatory response during SARS-CoV-2 infection. Mol. Neurobiol. 1–16. 10.1007/s12035-020-02134-7 [DOI] [PMC free article] [PubMed] [Google Scholar]
  11. Angelova D. M., Brown D. R. (2019). Microglia and the aging brain: are senescent microglia the key to neurodegeneration? J. Neurochem. 151 676–688. 10.1111/jnc.14860 [DOI] [PubMed] [Google Scholar]
  12. Arbour N., Côté G., Lachance C., Tardieu M., Cashman N. R., Talbot P. J. (1999). Acute and persistent infection of human neural cell lines by human Coronavirus OC43. J. Virol. 73 3338–3350. 10.1128/JVI.73.4.3338-3350.1999 [DOI] [PMC free article] [PubMed] [Google Scholar]
  13. Arroja M. M. C., Reid E., McCabe C. (2016). Therapeutic potential of the renin angiotensin system in ischaemic stroke. Exp. Transl. Stroke Med. 8:8. 10.1186/s13231-016-0022-1 [DOI] [PMC free article] [PubMed] [Google Scholar]
  14. Atkinson S. J., Hosford M. A., Molitoris B. A. (2004). Mechanism of actin polymerization in cellular ATP depletion. J. Biol. Chem. 279 5194–5199. 10.1074/jbc.M306973200 [DOI] [PubMed] [Google Scholar]
  15. Barrero-Castillero A., Morton S. U., Nelson C. A., Smith V. C. (2019). Psychosocial stress and adversity: effects from the perinatal period to adulthood. Neoreviews 20 e686–e696. 10.1542/neo.20-12-e686 [DOI] [PubMed] [Google Scholar]
  16. Benson D. L., Matikainen-Ankney B. A., Hussein A., Huntley G. W. (2018). Functional and behavioral consequences of Parkinson’s disease-associated LRRK2-G2019S mutation. Biochem. Soc. Trans. 46 1697–1705. 10.1042/BST20180468 [DOI] [PMC free article] [PubMed] [Google Scholar]
  17. Bhaskar S., Sinha A., Banach M., Mittoo S., Weissert R., Kass J. S., et al. (2020). Cytokine storm in COVID-19-immunopathological mechanisms, clinical considerations, and therapeutic approaches: the REPROGRAM consortium position paper. Front. Immunol. 11:1648. 10.3389/fimmu.2020.01648 [DOI] [PMC free article] [PubMed] [Google Scholar]
  18. Bilbo S. D., Tsang V. (2010). Enduring consequences of maternal obesity for brain inflammation and behavior of offspring. FASEB J. Off. Publ. Fed. Am. Soc. Exp. Biol. 24 2104–2115. 10.1096/fj.09-144014 [DOI] [PubMed] [Google Scholar]
  19. Bisht K., Sharma K., Tremblay M.-È. (2018). Chronic stress as a risk factor for Alzheimer’s disease: roles of microglia-mediated synaptic remodeling, inflammation, and oxidative stress. Neurobiol. Stress 9 9–21. 10.1016/j.ynstr.2018.05.003 [DOI] [PMC free article] [PubMed] [Google Scholar]
  20. Bisht K., Sharma K. P., Lecours C., Sánchez M. G., El Hajj H., Milior G., et al. (2016). Dark microglia: a new phenotype predominantly associated with pathological states. Glia 64 826–839. 10.1002/glia.22966 [DOI] [PMC free article] [PubMed] [Google Scholar]
  21. Bleau C., Filliol A., Samson M., Lamontagne L. (2015). Brain invasion by mouse hepatitis virus depends on impairment of tight junctions and beta interferon production in brain microvascular endothelial cells. J. Virol. 89 9896–9908. 10.1128/JVI.01501-15 [DOI] [PMC free article] [PubMed] [Google Scholar]
  22. Block M. L., Zecca L., Hong J.-S. (2007). Microglia-mediated neurotoxicity: uncovering the molecular mechanisms. Nat. Rev. Neurosci. 8 57–69. 10.1038/nrn2038 [DOI] [PubMed] [Google Scholar]
  23. Blustein D. L., Duffy R., Ferreira J. A., Cohen-Scali V., Cinamon R. G., Allan B. A. (2020). Unemployment in the time of COVID-19: a research agenda. J. Vocat. Behav. 119 103436. 10.1016/j.jvb.2020.103436 [DOI] [PMC free article] [PubMed] [Google Scholar]
  24. Bonavia A., Arbour N., Yong V. W., Talbot P. J. (1997). Infection of primary cultures of human neural cells by human coronaviruses 229E and OC43. J. Virol. 71 800–806. [DOI] [PMC free article] [PubMed] [Google Scholar]
  25. Bordeleau M., Carrier M., Luheshi G. N., Tremblay M.-È. (2019). Microglia along sex lines: from brain colonization, maturation and function, to implication in neurodevelopmental disorders. Semin. Cell Dev. Biol. 94 152–163. 10.1016/j.semcdb.2019.06.001 [DOI] [PubMed] [Google Scholar]
  26. Borsini A., Zunszain P. A., Thuret S., Pariante C. M. (2015). The role of inflammatory cytokines as key modulators of neurogenesis. Trends Neurosci. 38 145–157. 10.1016/j.tins.2014.12.006 [DOI] [PubMed] [Google Scholar]
  27. Bost P., Giladi A., Liu Y., Bendjelal Y., Xu G., David E., et al. (2020). Host-viral infection maps reveal signatures of severe COVID-19 patients. Cell 181 1475–1488.e12. 10.1016/j.cell.2020.05.006 [DOI] [PMC free article] [PubMed] [Google Scholar]
  28. Brann D. H., Tsukahara T., Weinreb C., Lipovsek M., Van den Berge K., Gong B., et al. (2020). Non-neuronal expression of SARS-CoV-2 entry genes in the olfactory system suggests mechanisms underlying COVID-19-associated anosmia. Sci. Adv. 6:eabc5801. 10.1126/sciadv.abc5801 [DOI] [PMC free article] [PubMed] [Google Scholar]
  29. Brooks S. K., Webster R. K., Smith L. E., Woodland L., Wessely S., Greenberg N., et al. (2020). The psychological impact of quarantine and how to reduce it: rapid review of the evidence. Lancet Lond. Engl. 395 912–920. 10.1016/S0140-6736(20)30460-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
  30. Bulfamante G., Chiumello D., Canevini M. P., Priori A., Mazzanti M., Centanni S., et al. (2020). First ultrastructural autoptic findings of SARS –Cov-2 in olfactory pathways and brainstem. Minerva Anestesiol. 86 678–679. 10.23736/S0375-9393.20.14772-2 [DOI] [PubMed] [Google Scholar]
  31. Buzhdygan T. P., DeOre B. J., Baldwin-Leclair A., Bullock T. A., McGary H. M., Khan J. A., et al. (2020). The SARS-CoV-2 spike protein alters barrier function in 2D static and 3D microfluidic in-vitro models of the human blood–brain barrier. Neurobiol. Dis. 146 105131. 10.1016/j.nbd.2020.105131 [DOI] [PMC free article] [PubMed] [Google Scholar]
  32. Calcia M. A., Bonsall D. R., Bloomfield P. S., Selvaraj S., Barichello T., Howes O. D. (2016). Stress and neuroinflammation: a systematic review of the effects of stress on microglia and the implications for mental illness. Psychopharmacology (Berl.) 233 1637–1650. 10.1007/s00213-016-4218-9 [DOI] [PMC free article] [PubMed] [Google Scholar]
  33. Camacho-Arroyo I., López-Griego L., Morales-Montor J. (2009). The role of cytokines in the regulation of neurotransmission. Neuroimmunomodulation 16 1–12. 10.1159/000179661 [DOI] [PubMed] [Google Scholar]
  34. Capuron L., Miller A. H. (2011). Immune system to brain signaling: neuropsychopharmacological implications. Pharmacol. Ther. 130 226–238. 10.1016/j.pharmthera.2011.01.014 [DOI] [PMC free article] [PubMed] [Google Scholar]
  35. Capuron L., Ravaud A., Neveu P. J., Miller A. H., Maes M., Dantzer R. (2002). Association between decreased serum tryptophan concentrations and depressive symptoms in cancer patients undergoing cytokine therapy. Mol. Psychiatry 7 468–473. 10.1038/sj.mp.4000995 [DOI] [PubMed] [Google Scholar]
  36. Carlsson T., Molander F., Taylor M. J., Jonsson U., Bölte S. (2020). Early environmental risk factors for neurodevelopmental disorders – a systematic review of twin and sibling studies. Dev. Psychopathol. 1–48. 10.1017/S0954579420000620 [DOI] [PMC free article] [PubMed] [Google Scholar]
  37. Carroll N., Sadowski A., Laila A., Hruska V., Nixon M., Ma D. W. L., et al. (2020). The impact of COVID-19 on health behavior, stress, financial and food security among middle to high income Canadian families with young children. Nutrients 12:2352. 10.3390/nu12082352 [DOI] [PMC free article] [PubMed] [Google Scholar]
  38. Carsana L., Sonzogni A., Nasr A., Rossi R. S., Pellegrinelli A., Zerbi P., et al. (2020). Pulmonary post-mortem findings in a series of COVID-19 cases from northern Italy: a two-centre descriptive study. Lancet Infect. Dis. 20 1135–1140. 10.1016/S1473-3099(20)30434-5 [DOI] [PMC free article] [PubMed] [Google Scholar]
  39. Carty M., Guy C., Bowie A. G. (2021). Detection of viral infections by innate immunity. Biochem. Pharmacol. 183:114316. 10.1016/j.bcp.2020.114316 [DOI] [PubMed] [Google Scholar]
  40. Chan S. M. S., Chiu F. K. H., Lam C. W. L., Leung P. Y. V., Conwell Y. (2006). Elderly suicide and the 2003 SARS epidemic in Hong Kong. Int. J. Geriatr. Psychiatry 21 113–118. 10.1002/gps.1432 [DOI] [PubMed] [Google Scholar]
  41. Channappanavar R., Perlman S. (2017). Pathogenic human coronavirus infections: causes and consequences of cytokine storm and immunopathology. Semin. Immunopathol. 39 529–539. 10.1007/s00281-017-0629-x [DOI] [PMC free article] [PubMed] [Google Scholar]
  42. Chaste P., Leboyer M. (2012). Autism risk factors: genes, environment, and gene-environment interactions. Dialogues Clin. Neurosci. 14 281–292. [DOI] [PMC free article] [PubMed] [Google Scholar]
  43. Chen C.-J., Ou Y.-C., Lin S.-Y., Raung S.-L., Liao S.-L., Lai C.-Y., et al. (2010). Glial activation involvement in neuronal death by Japanese encephalitis virus infection. J. Gen. Virol. 91 1028–1037. 10.1099/vir.0.013565-0 [DOI] [PubMed] [Google Scholar]
  44. Chen N., Zhou M., Dong X., Qu J., Gong F., Han Y., et al. (2020a). Epidemiological and clinical characteristics of 99 cases of 2019 novel coronavirus pneumonia in Wuhan, China: a descriptive study. Lancet Lond. Engl. 395 507–513. 10.1016/S0140-6736(20)30211-7 [DOI] [PMC free article] [PubMed] [Google Scholar]
  45. Chen T., Wu D., Chen H., Yan W., Yang D., Chen G., et al. (2020b). Clinical characteristics of 113 deceased patients with coronavirus disease 2019: retrospective study. BMJ 368:m1295. 10.1136/bmj.m1091 [DOI] [PMC free article] [PubMed] [Google Scholar]
  46. Chen Z., Li G. (2020). Immune response and blood-brain barrier dysfunction during viral neuroinvasion. Innate Immun., 1753425920954281. 10.1177/1753425920954281 [Epub ahead of print]. [DOI] [PMC free article] [PubMed] [Google Scholar]
  47. Comer A. L., Jinadasa T., Sriram B., Phadke R. A., Kretsge L. N., Nguyen T. P. H., et al. (2020). Increased expression of schizophrenia-associated gene C4 leads to hypoconnectivity of prefrontal cortex and reduced social interaction. PLoS Biol. 18:e3000604. 10.1371/journal.pbio.3000604 [DOI] [PMC free article] [PubMed] [Google Scholar]
  48. Cruchaga C., Kauwe J. S. K., Harari O., Jin S. C., Cai Y., Karch C. M., et al. (2013). GWAS of cerebrospinal fluid tau levels identifies risk variants for Alzheimer’s disease. Neuron 78 256–268. 10.1016/j.neuron.2013.02.026 [DOI] [PMC free article] [PubMed] [Google Scholar]
  49. Cunningham C. (2013). Microglia and neurodegeneration: the role of systemic inflammation. Glia 61 71–90. 10.1002/glia.22350 [DOI] [PubMed] [Google Scholar]
  50. Damani M. R., Zhao L., Fontainhas A. M., Amaral J., Fariss R. N., Wong W. T. (2011). Age−related alterations in the dynamic behavior of microglia. Aging Cell 10 263–276. 10.1111/j.1474-9726.2010.00660.x [DOI] [PMC free article] [PubMed] [Google Scholar]
  51. Dantzer R. (2018). Neuroimmune interactions: from the brain to the immune system and vice versa. Physiol. Rev. 98 477–504. 10.1152/physrev.00039.2016 [DOI] [PMC free article] [PubMed] [Google Scholar]
  52. Dantzer R., O’Connor J. C., Freund G. G., Johnson R. W., Kelley K. W. (2008). From inflammation to sickness and depression: when the immune system subjugates the brain. Nat. Rev. Neurosci. 9 46–56. 10.1038/nrn2297 [DOI] [PMC free article] [PubMed] [Google Scholar]
  53. Das Sarma J. (2014). Microglia-mediated neuroinflammation is an amplifier of virus-induced neuropathology. J. Neurovirol. 20 122–136. 10.1007/s13365-013-0188-4 [DOI] [PubMed] [Google Scholar]
  54. Davalos D., Grutzendler J., Yang G., Kim J. V., Zuo Y., Jung S., et al. (2005). ATP mediates rapid microglial response to local brain injury in vivo. Nat. Neurosci. 8 752–758. 10.1038/nn1472 [DOI] [PubMed] [Google Scholar]
  55. Davydow D. S., Hough C. L., Levine D. A., Langa K. M., Iwashyna T. J. (2013). Functional disability, cognitive impairment, and depression after hospitalization for pneumonia. Am. J. Med. 126 615–624.e5. 10.1016/j.amjmed.2012.12.006 [DOI] [PMC free article] [PubMed] [Google Scholar]
  56. de Wit E., van Doremalen N., Falzarano D., Munster V. J. (2016). SARS and MERS: recent insights into emerging coronaviruses. Nat. Rev. Microbiol. 14 523–534. 10.1038/nrmicro.2016.81 [DOI] [PMC free article] [PubMed] [Google Scholar]
  57. Deigendesch N., Sironi L., Kutza M., Wischnewski S., Fuchs V., Hench J., et al. (2020). Correlates of critical illness-related encephalopathy predominate postmortem COVID-19 neuropathology. Acta Neuropathol. (Berl.) 140 583–586. 10.1007/s00401-020-02213-y [DOI] [PMC free article] [PubMed] [Google Scholar]
  58. Desforges M., Le Coupanec A., Dubeau P., Bourgouin A., Lajoie L., Dubé M., et al. (2019). Human coronaviruses and other respiratory viruses: underestimated opportunistic pathogens of the central nervous system? Viruses 12:14. 10.3390/v12010014 [DOI] [PMC free article] [PubMed] [Google Scholar]
  59. Di Filippo M., Chiasserini D., Gardoni F., Viviani B., Tozzi A., Giampà C., et al. (2013). Effects of central and peripheral inflammation on hippocampal synaptic plasticity. Neurobiol. Dis. 52 229–236. 10.1016/j.nbd.2012.12.009 [DOI] [PubMed] [Google Scholar]
  60. Di Stadio A., Romani L., Bernitsas E. (2020). Could Sars-Cov2 affect MS progression? Mult. Scler. Relat. Disord. 46:102540. 10.1016/j.msard.2020.102540 [DOI] [PMC free article] [PubMed] [Google Scholar]
  61. Dissing-Olesen L., LeDue J. M., Rungta R. L., Hefendehl J. K., Choi H. B., MacVicar B. A. (2014). Activation of neuronal NMDA receptors triggers transient ATP-mediated microglial process outgrowth. J. Neurosci. Off. J. Soc. Neurosci. 34 10511–10527. 10.1523/JNEUROSCI.0405-14.2014 [DOI] [PMC free article] [PubMed] [Google Scholar]
  62. Dolhnikoff M., Duarte-Neto A. N., de Almeida Monteiro R. A., da Silva L. F. F., de Oliveira E. P., Saldiva P. H. N., et al. (2020). Pathological evidence of pulmonary thrombotic phenomena in severe COVID-19. J. Thromb. Haemost. JTH 18 1517–1519. 10.1111/jth.14844 [DOI] [PMC free article] [PubMed] [Google Scholar]
  63. Domingues R. B., Mendes-Correa M. C., de Moura Leite F. B. V., Sabino E. C., Salarini D. Z., Claro I., et al. (2020). First case of SARS-COV-2 sequencing in cerebrospinal fluid of a patient with suspected demyelinating disease. J. Neurol. 94 55–58. 10.1007/s00415-020-09996-w [DOI] [PMC free article] [PubMed] [Google Scholar]
  64. DosSantos M. F., Devalle S., Aran V., Capra D., Roque N. R., Coelho-Aguiar J., et al. (2020). Neuromechanisms of SARS-CoV-2: a review. Front. Neuroanat. 14:37. 10.3389/fnana.2020.00037 [DOI] [PMC free article] [PubMed] [Google Scholar]
  65. El Hajj H., Savage J. C., Bisht K., Parent M., Vallières L., Rivest S., et al. (2019). Ultrastructural evidence of microglial heterogeneity in Alzheimer’s disease amyloid pathology. J. Neuroinflammation 16:87. 10.1186/s12974-019-1473-9 [DOI] [PMC free article] [PubMed] [Google Scholar]
  66. Ellis W. E., Dumas T. M., Forbes L. M. (2020). Physically isolated but socially connected: psychological adjustment and stress among adolescents during the initial COVID-19 crisis. Can. J. Behav. Sci. Rev. Can. Sci. Comport. 52 177–187. 10.1037/cbs0000215 [DOI] [Google Scholar]
  67. Ellul M. A., Benjamin L., Singh B., Lant S., Michael B. D., Easton A., et al. (2020). Neurological associations of COVID-19. Lancet Neurol. 19 767–783. 10.1016/S1474-4422(20)30221-0 [DOI] [PMC free article] [PubMed] [Google Scholar]
  68. Elmore M. R. P., Najafi A. R., Koike M. A., Dagher N. N., Spangenberg E. E., Rice R. A., et al. (2014). Colony-stimulating factor 1 receptor signaling is necessary for microglia viability, unmasking a microglia progenitor cell in the adult brain. Neuron 82 380–397. 10.1016/j.neuron.2014.02.040 [DOI] [PMC free article] [PubMed] [Google Scholar]
  69. Erblich B., Zhu L., Etgen A. M., Dobrenis K., Pollard J. W. (2011). Absence of colony stimulation factor-1 receptor results in loss of microglia, disrupted brain development and olfactory deficits. PLoS One 6:e26317. 10.1371/journal.pone.0026317 [DOI] [PMC free article] [PubMed] [Google Scholar]
  70. Eshraghi A. A., Mirsaeidi M., Davies C., Telischi F. F., Chaudhari N., Mittal R. (2020). Potential mechanisms for COVID-19 induced anosmia and dysgeusia. Front. Physiol. 11:1039. 10.3389/fphys.2020.01039 [DOI] [PMC free article] [PubMed] [Google Scholar]
  71. Esposito G., Pesce M., Seguella L., Sanseverino W., Lu J., Sarnelli G. (2020). Can the enteric nervous system be an alternative entrance door in SARS-CoV2 neuroinvasion? Brain. Behav. Immun. 87 93–94. 10.1016/j.bbi.2020.04.060 [DOI] [PMC free article] [PubMed] [Google Scholar]
  72. Eyo U. B., Mo M., Yi M.-H., Murugan M., Liu J., Yarlagadda R., et al. (2018). P2Y12R-dependent translocation mechanisms gate the changing microglial landscape. Cell Rep. 23 959–966. 10.1016/j.celrep.2018.04.001 [DOI] [PMC free article] [PubMed] [Google Scholar]
  73. Eyo U. B., Peng J., Swiatkowski P., Mukherjee A., Bispo A., Wu L.-J. (2014). Neuronal hyperactivity recruits microglial processes via neuronal NMDA receptors and microglial P2Y12 receptors after status epilepticus. J. Neurosci. Off. J. Soc. Neurosci. 34 10528–10540. 10.1523/JNEUROSCI.0416-14.2014 [DOI] [PMC free article] [PubMed] [Google Scholar]
  74. Farhadian S., Glick L. R., Vogels C. B. F., Thomas J., Chiarella J., Casanovas-Massana A., et al. (2020). Acute encephalopathy with elevated CSF inflammatory markers as the initial presentation of COVID-19. Res. Sq. 20:248. 10.21203/rs.3.rs-28583/v1 [DOI] [PMC free article] [PubMed] [Google Scholar]
  75. Farrell A. K., Simpson J. A., Carlson E. A., Englund M. M., Sung S. (2017). The impact of stress at different life stages on physical health and the buffering effects of maternal sensitivity. Health Psychol. Off. J. Div. Health Psychol. Am. Psychol. Assoc. 36 35–44. 10.1037/hea0000424 [DOI] [PMC free article] [PubMed] [Google Scholar]
  76. Fernández-Aranda F., Casas M., Claes L., Bryan D. C., Favaro A., Granero R., et al. (2020). COVID-19 and implications for eating disorders. Eur. Eat. Disord. Rev. J. Eat. Disord. Assoc. 28 239–245. 10.1002/erv.2738 [DOI] [PMC free article] [PubMed] [Google Scholar]
  77. Filatov A., Sharma P., Hindi F., Espinosa P. S. (2020). Neurological complications of coronavirus disease (COVID-19): encephalopathy. Cureus 12:e7352. 10.7759/cureus.7352 [DOI] [PMC free article] [PubMed] [Google Scholar]
  78. Fitsiori A., Pugin D., Thieffry C., Lalive P., Vargas M. I. (2020). COVID-19 is associated with an unusual pattern of brain microbleeds in critically Ill patients. J. Neuroimaging Off. J. Am. Soc. Neuroimaging 30 593–597. 10.1111/jon.12755 [DOI] [PMC free article] [PubMed] [Google Scholar]
  79. Flowers A., Bell-Temin H., Jalloh A., Stevens S. M., Bickford P. C. (2017). Proteomic anaysis of aged microglia: shifts in transcription, bioenergetics, and nutrient response. J. Neuroinflammation 14:96. 10.1186/s12974-017-0840-7 [DOI] [PMC free article] [PubMed] [Google Scholar]
  80. Frank M. G., Barrientos R. M., Watkins L. R., Maier S. F. (2010). Aging sensitizes rapidly isolated hippocampal microglia to LPS ex vivo. J. Neuroimmunol. 226 181–184. 10.1016/j.jneuroim.2010.05.022 [DOI] [PMC free article] [PubMed] [Google Scholar]
  81. Frank M. G., Fonken L. K., Watkins L. R., Maier S. F. (2019). Microglia: neuroimmune-sensors of stress. Semin. Cell Dev. Biol. 94 176–185. 10.1016/j.semcdb.2019.01.001 [DOI] [PMC free article] [PubMed] [Google Scholar]
  82. Freeman T. L., Swartz T. H. (2020). Targeting the NLRP3 Inflammasome in Severe COVID-19. Front. Immunol. 11:1518. 10.3389/fimmu.2020.01518 [DOI] [PMC free article] [PubMed] [Google Scholar]
  83. Fukumoto Y., Tanaka K. F., Parajuli B., Shibata K., Yoshioka H., Kanemaru K., et al. (2019). Neuroprotective effects of microglial P2Y1 receptors against ischemic neuronal injury. J. Cereb. Blood Flow Metab. 39:2144. 10.1177/0271678X18805317 [DOI] [PMC free article] [PubMed] [Google Scholar]
  84. Fumagalli S., Perego C., Ortolano F., De Simoni M.-G. (2013). CX3CR1 deficiency induces an early protective inflammatory environment in ischemic mice. Glia 61 827–842. 10.1002/glia.22474 [DOI] [PubMed] [Google Scholar]
  85. Fumagalli S., Perego C., Pischiutta F., Zanier E. R., De Simoni M.-G. (2015). The ischemic environment drives microglia and macrophage function. Front. Neurol. 6:81. 10.3389/fneur.2015.00081 [DOI] [PMC free article] [PubMed] [Google Scholar]
  86. Gardinassi L. G., Souza C. O. S., Sales-Campos H., Fonseca S. G. (2020). Immune and metabolic signatures of COVID-19 revealed by transcriptomics data reuse. Front. Immunol. 11:1636. 10.3389/fimmu.2020.01636 [DOI] [PMC free article] [PubMed] [Google Scholar]
  87. Garfin D. R., Silver R. C., Holman E. A. (2020). The novel coronavirus (COVID-2019) outbreak: amplification of public health consequences by media exposure. Health Psychol. Off. J. Div. Health Psychol. Am. Psychol. Assoc. 39 355–357. 10.1037/hea0000875 [DOI] [PMC free article] [PubMed] [Google Scholar]
  88. Garg R. K., Paliwal V. K., Gupta A. (2020). Encephalopathy in patients with COVID-19: a review. J. Med. Virol. 93 206–222. 10.1002/jmv.26207 [DOI] [PubMed] [Google Scholar]
  89. Gautier J.-F., Ravussin Y. (2020). A new symptom of COVID-19: loss of taste and smell. Obes. Silver Spring Md 28:848. 10.1002/oby.22809 [DOI] [PMC free article] [PubMed] [Google Scholar]
  90. Giacomelli A., Pezzati L., Conti F., Bernacchia D., Siano M., Oreni L., et al. (2020). Self-reported olfactory and taste disorders in patients with severe acute respiratory coronavirus 2 infection: a cross-sectional study. Clin. Infect. Dis. Off. Publ. Infect. Dis. Soc. Am. 71 889–890. 10.1093/cid/ciaa330 [DOI] [PMC free article] [PubMed] [Google Scholar]
  91. Gimeno-Bayón J., López-López A., Rodríguez M. J., Mahy N. (2014). Glucose pathways adaptation supports acquisition of activated microglia phenotype. J. Neurosci. Res. 92 723–731. 10.1002/jnr.23356 [DOI] [PubMed] [Google Scholar]
  92. Ginhoux F., Greter M., Leboeuf M., Nandi S., See P., Gokhan S., et al. (2010). Fate mapping analysis reveals that adult microglia derive from primitive macrophages. Science 330 841–845. 10.1126/science.1194637 [DOI] [PMC free article] [PubMed] [Google Scholar]
  93. Goodell J. W. (2020). COVID-19 and finance: agendas for future research. Finance Res. Lett. 35:101512. 10.1016/j.frl.2020.101512 [DOI] [PMC free article] [PubMed] [Google Scholar]
  94. Guerreiro R., Wojtas A., Bras J., Carrasquillo M., Rogaeva E., Majounie E., et al. (2013). TREM2 variants in Alzheimer’s disease. N. Engl. J. Med. 368 117–127. 10.1056/NEJMoa1211851 [DOI] [PMC free article] [PubMed] [Google Scholar]
  95. Guo W., Li M., Dong Y., Zhou H., Zhang Z., Tian C., et al. (2020). Diabetes is a risk factor for the progression and prognosis of COVID-19. Diabetes Metab. Res. Rev. 36:e3319. 10.1002/dmrr.3319 [DOI] [PMC free article] [PubMed] [Google Scholar]
  96. Hamming I., Timens W., Bulthuis M. L. C., Lely A. T., Navis G. J., van Goor H. (2004). Tissue distribution of ACE2 protein, the functional receptor for SARS coronavirus. A first step in understanding SARS pathogenesis. J. Pathol. 203 631–637. 10.1002/path.1570 [DOI] [PMC free article] [PubMed] [Google Scholar]
  97. Hammond T. R., Dufort C., Dissing-Olesen L., Giera S., Young A., Wysoker A., et al. (2019). Single-Cell RNA sequencing of microglia throughout the mouse lifespan and in the injured brain reveals complex cell-state changes. Immunity 50 253–271.e6. 10.1016/j.immuni.2018.11.004 [DOI] [PMC free article] [PubMed] [Google Scholar]
  98. Handa R., Nanda S., Prasad A., Anand R., Zutshi D., Dass S. K., et al. (2020). Covid-19-associated acute haemorrhagic leukoencephalomyelitis. Neurol. Sci. Off. J. Ital. Neurol. Soc. Ital. Soc. Clin. Neurophysiol. 41 3023–3026. 10.1007/s10072-020-04703-z [DOI] [PMC free article] [PubMed] [Google Scholar]
  99. Hanisch U.-K., Kettenmann H. (2007). Microglia: active sensor and versatile effector cells in the normal and pathologic brain. Nat. Neurosci. 10 1387–1394. 10.1038/nn1997 [DOI] [PubMed] [Google Scholar]
  100. Haroon E., Raison C. L., Miller A. H. (2012). Psychoneuroimmunology meets neuropsychopharmacology: translational implications of the impact of inflammation on behavior. Neuropsychopharmacol. Off. Publ. Am. Coll. Neuropsychopharmacol. 37 137–162. 10.1038/npp.2011.205 [DOI] [PMC free article] [PubMed] [Google Scholar]
  101. Hawkins B. T., Lundeen T. F., Norwood K. M., Brooks H. L., Egleton R. D. (2007). Increased blood-brain barrier permeability and altered tight junctions in experimental diabetes in the rat: contribution of hyperglycaemia and matrix metalloproteinases. Diabetologia 50 202–211. 10.1007/s00125-006-0485-z [DOI] [PubMed] [Google Scholar]
  102. Hefendehl J. K., Neher J. J., Sühs R. B., Kohsaka S., Skodras A., Jucker M. (2014). Homeostatic and injury-induced microglia behavior in the aging brain. Aging Cell 13 60–69. 10.1111/acel.12149 [DOI] [PMC free article] [PubMed] [Google Scholar]
  103. Hellwig S., Brioschi S., Dieni S., Frings L., Masuch A., Blank T., et al. (2016). Altered microglia morphology and higher resilience to stress-induced depression-like behavior in CX3CR1-deficient mice. Brain. Behav. Immun. 55 126–137. 10.1016/j.bbi.2015.11.008 [DOI] [PubMed] [Google Scholar]
  104. Helms J., Kremer S., Merdji H., Clere-Jehl R., Schenck M., Kummerlen C., et al. (2020). Neurologic features in severe SARS-CoV-2 infection. N. Engl. J. Med. 382 2268–2270. 10.1056/NEJMc2008597 [DOI] [PMC free article] [PubMed] [Google Scholar]
  105. Heneka M. T., Golenbock D., Latz E., Morgan D., Brown R. (2020). Immediate and long-term consequences of COVID-19 infections for the development of neurological disease. Alzheimers Res. Ther. 12:69. 10.1186/s13195-020-00640-3 [DOI] [PMC free article] [PubMed] [Google Scholar]
  106. Heneka M. T., Kummer M. P., Stutz A., Delekate A., Schwartz S., Vieira-Saecker A., et al. (2013). NLRP3 is activated in Alzheimer’s disease and contributes to pathology in APP/PS1 mice. Nature 493 674–678. 10.1038/nature11729 [DOI] [PMC free article] [PubMed] [Google Scholar]
  107. Hines D. J., Hines R. M., Mulligan S. J., Macvicar B. A. (2009). Microglia processes block the spread of damage in the brain and require functional chloride channels. Glia 57 1610–1618. 10.1002/glia.20874 [DOI] [PubMed] [Google Scholar]
  108. Holmes E. A., O’Connor R. C., Perry V. H., Tracey I., Wessely S., Arseneault L., et al. (2020). Multidisciplinary research priorities for the COVID-19 pandemic: a call for action for mental health science. Lancet Psychiatry 7 547–560. 10.1016/S2215-0366(20)30168-1 [DOI] [PMC free article] [PubMed] [Google Scholar]
  109. Hong S., Beja-Glasser V. F., Nfonoyim B. M., Frouin A., Li S., Ramakrishnan S., et al. (2016). Complement and microglia mediate early synapse loss in Alzheimer mouse models. Science 352 712–716. 10.1126/science.aad8373 [DOI] [PMC free article] [PubMed] [Google Scholar]
  110. Hong X., Currier G. W., Zhao X., Jiang Y., Zhou W., Wei J. (2009). Posttraumatic stress disorder in convalescent severe acute respiratory syndrome patients: a 4-year follow-up study. Gen. Hosp. Psychiatry 31 546–554. 10.1016/j.genhosppsych.2009.06.008 [DOI] [PMC free article] [PubMed] [Google Scholar]
  111. Hoogland I. C. M., Houbolt C., van Westerloo D. J., van Gool W. A., van de Beek D. (2015). Systemic inflammation and microglial activation: systematic review of animal experiments. J. Neuroinflammation 12:114. 10.1186/s12974-015-0332-6 [DOI] [PMC free article] [PubMed] [Google Scholar]
  112. Horesh D., Brown A. D. (2020). Traumatic stress in the age of COVID-19: a call to close critical gaps and adapt to new realities. Psychol. Trauma Theory Res. Pract. Policy 12 331–335. 10.1037/tra0000592 [DOI] [PubMed] [Google Scholar]
  113. Huang Y. H., Jiang D., Huang J. T. (2020). SARS-CoV-2 detected in cerebrospinal fluid by PCR in a case of COVID-19 encephalitis. Brain. Behav. Immun. 87:149. 10.1016/j.bbi.2020.05.012 [DOI] [PMC free article] [PubMed] [Google Scholar]
  114. Iadecola C., Anrather J., Kamel H. (2020). Effects of COVID-19 on the nervous system. Cell 183 16–27.e1. 10.1016/j.cell.2020.08.028 [DOI] [PMC free article] [PubMed] [Google Scholar]
  115. Ising C., Venegas C., Zhang S., Scheiblich H., Schmidt S. V., Vieira-Saecker A., et al. (2019). NLRP3 inflammasome activation drives tau pathology. Nature 575 669–673. 10.1038/s41586-019-1769-z [DOI] [PMC free article] [PubMed] [Google Scholar]
  116. Jang H., Boltz D., Sturm-Ramirez K., Shepherd K. R., Jiao Y., Webster R., et al. (2009). Highly pathogenic H5N1 influenza virus can enter the central nervous system and induce neuroinflammation and neurodegeneration. Proc. Natl. Acad. Sci. U.S.A. 106 14063–14068. 10.1073/pnas.0900096106 [DOI] [PMC free article] [PubMed] [Google Scholar]
  117. Jefsen O. H., Rohde C., Nørremark B., Østergaard S. D. (2020). Editorial Perspective: COVID-19 pandemic-related psychopathology in children and adolescents with mental illness. J. Child Psychol. Psychiatry. 10.1111/jcpp.13292 [Epub ahead of print]. [DOI] [PMC free article] [PubMed] [Google Scholar]
  118. Jiang C.-T., Wu W.-F., Deng Y.-H., Ge J.-W. (2020). Modulators of microglia activation and polarization in ischemic stroke (Review). Mol. Med. Rep. 21 2006–2018. 10.3892/mmr.2020.11003 [DOI] [PMC free article] [PubMed] [Google Scholar]
  119. Johnson J. D., Barnard D. F., Kulp A. C., Mehta D. M. (2019). Neuroendocrine regulation of brain cytokines after psychological stress. J. Endocr. Soc. 3 1302–1320. 10.1210/js.2019-00053 [DOI] [PMC free article] [PubMed] [Google Scholar]
  120. Joost E., Jordão M. J. C., Mages B., Prinz M., Bechmann I., Krueger M. (2019). Microglia contribute to the glia limitans around arteries, capillaries and veins under physiological conditions, in a model of neuroinflammation and in human brain tissue. Brain Struct. Funct. 224 1301–1314. 10.1007/s00429-019-01834-8 [DOI] [PubMed] [Google Scholar]
  121. Jurga A. M., Paleczna M., Kuter K. Z. (2020). Overview of general and discriminating markers of differential microglia phenotypes. Front. Cell. Neurosci. 14:198. 10.3389/fncel.2020.00198 [DOI] [PMC free article] [PubMed] [Google Scholar]
  122. Kantonen J., Mahzabin S., Mäyränpää M. I., Tynninen O., Paetau A., Andersson N., et al. (2020). Neuropathologic features of four autopsied COVID-19 patients. Brain Pathol. Zurich Switz. 30 1012–1016. 10.1111/bpa.12889 [DOI] [PMC free article] [PubMed] [Google Scholar]
  123. Karatzias T., Shevlin M., Murphy J., McBride O., Ben-Ezra M., Bentall R. P., et al. (2020). Posttraumatic stress symptoms and associated comorbidity during the COVID-19 pandemic in Ireland: a population-based study. J. Trauma. Stress 33 365–370. 10.1002/jts.22565 [DOI] [PMC free article] [PubMed] [Google Scholar]
  124. Karmiloff-Smith A., D’Souza D., Dekker T. M., Van Herwegen J., Xu F., Rodic M., et al. (2012). Genetic and environmental vulnerabilities in children with neurodevelopmental disorders. Proc. Natl. Acad. Sci. U.S.A. 109(Suppl. 2) 17261–17265. 10.1073/pnas.1121087109 [DOI] [PMC free article] [PubMed] [Google Scholar]
  125. Kashani K. B., Boire N. A., Constantopoulos E., Guo Y., Lucchinetti C. F. (2020). Neuropathology of COVID-19: a spectrum of vascular and acute disseminated encephalomyelitis (ADEM)-like pathology. Acta Neuropathol. (Berl.) 140 1–6. 10.1007/s00401-020-02166-2 [DOI] [PMC free article] [PubMed] [Google Scholar]
  126. Kempuraj D., Selvakumar G. P., Ahmed M. E., Raikwar S. P., Thangavel R., Khan A., et al. (2020). COVID-19, mast cells, cytokine storm, psychological Stress, and neuroinflammation. Neurosci. Rev. J. Bringing Neurobiol. Neurol. Psychiatry 26 402–414. 10.1177/1073858420941476 [DOI] [PubMed] [Google Scholar]
  127. Kiernan E. A., Smith S. M. C., Mitchell G. S., Watters J. J. (2016). Mechanisms of microglial activation in models of inflammation and hypoxia: implications for chronic intermittent hypoxia. J. Physiol. 594 1563–1577. 10.1113/JP271502 [DOI] [PMC free article] [PubMed] [Google Scholar]
  128. Kim E., Cho S. (2016). Microglia and monocyte-derived macrophages in stroke. Neurother. J. Am. Soc. Exp. Neurother. 13 702–718. 10.1007/s13311-016-0463-1 [DOI] [PMC free article] [PubMed] [Google Scholar]
  129. Kim T. D., Lee S., Yoon S. (2020). Inflammation in post-traumatic stress disorder (PTSD): a review of potential correlates of PTSD with a neurological perspective. Antioxid. Basel Switz. 9:107. 10.3390/antiox9020107 [DOI] [PMC free article] [PubMed] [Google Scholar]
  130. Klein R. S., Garber C., Funk K. E., Salimi H., Soung A., Kanmogne M., et al. (2019). Neuroinflammation during RNA viral infections. Annu. Rev. Immunol. 37 73–95. 10.1146/annurev-immunol-042718-041417 [DOI] [PMC free article] [PubMed] [Google Scholar]
  131. Klok F. A., Kruip M. J. H. A., van der Meer N. J. M., Arbous M. S., Gommers D. A. M. P. J., Kant K. M., et al. (2020). Incidence of thrombotic complications in critically ill ICU patients with COVID-19. Thromb. Res. 191 145–147. 10.1016/j.thromres.2020.04.013 [DOI] [PMC free article] [PubMed] [Google Scholar]
  132. Kong H., Omran A., Ashhab M. U., Gan N., Peng J., He F., et al. (2014). Changes in microglial inflammation-related and brain-enriched MicroRNAs expressions in response to in vitro oxygen-glucose deprivation. Neurochem. Res. 39 233–243. 10.1007/s11064-013-1209-7 [DOI] [PubMed] [Google Scholar]
  133. Kopp B. L., Wick D., Herman J. P. (2013). Differential effects of homotypic vs. heterotypic chronic stress regimens on microglial activation in the prefrontal cortex. Physiol. Behav. 122 246–252. 10.1016/j.physbeh.2013.05.030 [DOI] [PMC free article] [PubMed] [Google Scholar]
  134. Koyuncu O. O., Hogue I. B., Enquist L. W. (2013). Virus infections in the nervous system. Cell Host Microbe 13 379–393. 10.1016/j.chom.2013.03.010 [DOI] [PMC free article] [PubMed] [Google Scholar]
  135. Kremer S., Lersy F., de Sèze J., Ferré J.-C., Maamar A., Carsin-Nicol B., et al. (2020). Brain MRI findings in severe COVID-19: a retrospective observational Study. Radiology 297 E242–E251. 10.1148/radiol.2020202222 [DOI] [PMC free article] [PubMed] [Google Scholar]
  136. Kumar V. (2019). Toll-like receptors in the pathogenesis of neuroinflammation. J. Neuroimmunol. 332 16–30. 10.1016/j.jneuroim.2019.03.012 [DOI] [PubMed] [Google Scholar]
  137. Kurpius D., Nolley E. P., Dailey M. E. (2007). Purines induce directed migration and rapid homing of microglia to injured pyramidal neurons in developing hippocampus. Glia 55 873–884. 10.1002/glia.20509 [DOI] [PubMed] [Google Scholar]
  138. Lähdepuro A., Savolainen K., Lahti-Pulkkinen M., Eriksson J. G., Lahti J., Tuovinen S., et al. (2019). The impact of early life stress on anxiety symptoms in late adulthood. Sci. Rep. 9:4395. 10.1038/s41598-019-40698-0 [DOI] [PMC free article] [PubMed] [Google Scholar]
  139. Lalancette-Hébert M., Gowing G., Simard A., Weng Y. C., Kriz J. (2007). Selective ablation of proliferating microglial cells exacerbates ischemic injury in the brain. J. Neurosci. Off. J. Soc. Neurosci. 27 2596–2605. 10.1523/JNEUROSCI.5360-06.2007 [DOI] [PMC free article] [PubMed] [Google Scholar]
  140. Lam M. H.-B., Wing Y.-K., Yu M. W.-M., Leung C.-M., Ma R. C. W., Kong A. P. S., et al. (2009). Mental morbidities and chronic fatigue in severe acute respiratory syndrome survivors: long-term follow-up. Arch. Intern. Med. 169 2142–2147. 10.1001/archinternmed.2009.384 [DOI] [PubMed] [Google Scholar]
  141. Lamers M. M., Beumer J., van der Vaart J., Knoops K., Puschhof J., Breugem T. I., et al. (2020). SARS-CoV-2 productively infects human gut enterocytes. Science 369 50–54. 10.1126/science.abc1669 [DOI] [PMC free article] [PubMed] [Google Scholar]
  142. Lampron A., Larochelle A., Laflamme N., Préfontaine P., Plante M.-M., Sánchez M. G., et al. (2015). Inefficient clearance of myelin debris by microglia impairs remyelinating processes. J. Exp. Med. 212 481–495. 10.1084/jem.20141656 [DOI] [PMC free article] [PubMed] [Google Scholar]
  143. Lavi E., Cong L. (2020). Type I astrocytes and microglia induce a cytokine response in an encephalitic murine coronavirus infection. Exp. Mol. Pathol. 115:104474. 10.1016/j.yexmp.2020.104474 [DOI] [PMC free article] [PubMed] [Google Scholar]
  144. Lecours C., Bordeleau M., Cantin L., Parent M., Paolo T. D., Tremblay M.-È. (2018). Microglial implication in Parkinson’s disease: loss of beneficial physiological roles or gain of inflammatory functions? Front. Cell. Neurosci. 12:282. 10.3389/fncel.2018.00282 [DOI] [PMC free article] [PubMed] [Google Scholar]
  145. Lee A. M., Wong J. G. W. S., McAlonan G. M., Cheung V., Cheung C., Sham P. C., et al. (2007). Stress and psychological distress among SARS survivors 1 year after the outbreak. Can. J. Psychiatry Rev. Can. Psychiatr. 52 233–240. 10.1177/070674370705200405 [DOI] [PubMed] [Google Scholar]
  146. Lee J. W., Lee Y. K., Yuk D. Y., Choi D. Y., Ban S. B., Oh K. W., et al. (2008). Neuro-inflammation induced by lipopolysaccharide causes cognitive impairment through enhancement of beta-amyloid generation. J. Neuroinflammat. 5:37. 10.1186/1742-2094-5-37 [DOI] [PMC free article] [PubMed] [Google Scholar]
  147. Lee P.-I., Hu Y.-L., Chen P.-Y., Huang Y.-C., Hsueh P.-R. (2020). Are children less susceptible to COVID-19? J. Microbiol. Immunol. Infect. Wei Mian Yu Gan Ran Za Zhi 53 371–372. 10.1016/j.jmii.2020.02.011 [DOI] [PMC free article] [PubMed] [Google Scholar]
  148. Lehmann M. L., Cooper H. A., Maric D., Herkenham M. (2016). Social defeat induces depressive-like states and microglial activation without involvement of peripheral macrophages. J. Neuroinflammation 13:224. 10.1186/s12974-016-0672-x [DOI] [PMC free article] [PubMed] [Google Scholar]
  149. Leonard B. E. (2014). Impact of inflammation on neurotransmitter changes in major depression: an insight into the action of antidepressants. Prog. Neuropsychopharmacol. Biol. Psychiatry 48 261–267. 10.1016/j.pnpbp.2013.10.018 [DOI] [PubMed] [Google Scholar]
  150. Li F., Wang Y., Yu L., Cao S., Wang K., Yuan J., et al. (2015). Viral infection of the central nervous system and neuroinflammation precede blood-brain barrier disruption during Japanese encephalitis virus infection. J. Virol. 89 5602–5614. 10.1128/JVI.00143-15 [DOI] [PMC free article] [PubMed] [Google Scholar]
  151. Li S., Wang Y., Xue J., Zhao N., Zhu T. (2020a). The impact of COVID-19 epidemic declaration on psychological consequences: a study on active weibo users. Int. J. Environ. Res. Public. Health 17:2032. 10.3390/ijerph17062032 [DOI] [PMC free article] [PubMed] [Google Scholar]
  152. Li Z., Ge J., Yang M., Feng J., Qiao M., Jiang R., et al. (2020b). Vicarious traumatization in the general public, members, and non-members of medical teams aiding in COVID-19 control. Brain. Behav. Immun. 88 916–919. 10.1016/j.bbi.2020.03.007 [DOI] [PMC free article] [PubMed] [Google Scholar]
  153. Lippi G., Wong J., Henry B. M. (2020). Hypertension in patients with coronavirus disease 2019 (COVID-19): a pooled analysis. Pol. Arch. Intern. Med. 130 304–309. 10.20452/pamw.15272 [DOI] [PubMed] [Google Scholar]
  154. Lu Y., Li X., Geng D., Mei N., Wu P.-Y., Huang C.-C., et al. (2020). Cerebral micro-structural changes in COVID-19 patients – an MRI-based 3-month follow-up study. Eclinicalmedicine 25:100484. 10.1016/j.eclinm.2020.100484 [DOI] [PMC free article] [PubMed] [Google Scholar]
  155. Lund S., Christensen K. V., Hedtjärn M., Mortensen A. L., Hagberg H., Falsig J., et al. (2006). The dynamics of the LPS triggered inflammatory response of murine microglia under different culture and in vivo conditions. J. Neuroimmunol. 180 71–87. 10.1016/j.jneuroim.2006.07.007 [DOI] [PubMed] [Google Scholar]
  156. Lyu J., Jiang X., Leak R. K., Shi Y., Hu X., Chen J. (2020). Microglial responses to brain injury and disease: functional diversity and new opportunities. Transl. Stroke Res. 10.1007/s12975-020-00857-2 [Epub ahead of print]. [DOI] [PubMed] [Google Scholar]
  157. Maas M. B. (2020). Critical medical illness and the nervous system. Contin. Minneap. Minn 26 675–694. 10.1212/CON.0000000000000869 [DOI] [PubMed] [Google Scholar]
  158. MacMicking J. D. (2012). Interferon-inducible effector mechanisms in cell-autonomous immunity. Nat. Rev. Immunol. 12 367–382. 10.1038/nri3210 [DOI] [PMC free article] [PubMed] [Google Scholar]
  159. Maes M., Mihaylova I., Kubera M., Ringel K. (2012). Activation of cell-mediated immunity in depression: association with inflammation, melancholia, clinical staging and the fatigue and somatic symptom cluster of depression. Prog. Neuropsychopharmacol. Biol. Psychiatry 36 169–175. 10.1016/j.pnpbp.2011.09.006 [DOI] [PubMed] [Google Scholar]
  160. Maes M., Song C., Lin A., De Jongh R., Van Gastel A., Kenis G., et al. (1998). The effects of psychological stress on humans: increased production of pro-inflammatory cytokines and a Th1-like response in stress-induced anxiety. Cytokine 10 313–318. 10.1006/cyto.1997.0290 [DOI] [PubMed] [Google Scholar]
  161. Mahalaxmi I., Kaavya J., Mohana Devi S., Balachandar V. (2020). COVID-19 and olfactory dysfunction: a possible associative approach towards neurodegenerative diseases. J. Cell. Physiol 236 763–770. 10.1002/jcp.29937 [DOI] [PMC free article] [PubMed] [Google Scholar]
  162. Mangale V., Syage A. R., Ekiz H. A., Skinner D. D., Cheng Y., Stone C. L., et al. (2020). Microglia influence host defense, disease, and repair following murine coronavirus infection of the central nervous system. Glia 68 2345–2360. 10.1002/glia.23844 [DOI] [PMC free article] [PubMed] [Google Scholar]
  163. Mao L., Jin H., Wang M., Hu Y., Chen S., He Q., et al. (2020). Neurologic manifestations of hospitalized patients with coronavirus disease 2019 in Wuhan. China. JAMA Neurol. 77 683–690. 10.1001/jamaneurol.2020.1127 [DOI] [PMC free article] [PubMed] [Google Scholar]
  164. Marschallinger J., Iram T., Zardeneta M., Lee S. E., Lehallier B., Haney M. S., et al. (2020). Lipid-droplet-accumulating microglia represent a dysfunctional and proinflammatory state in the aging brain. Nat. Neurosci. 23 194–208. 10.1038/s41593-019-0566-1 [DOI] [PMC free article] [PubMed] [Google Scholar]
  165. Marshall M. (2020). How COVID-19 can damage the brain. Nature 585 342–343. 10.1038/d41586-020-02599-5 [DOI] [PubMed] [Google Scholar]
  166. Masuda T., Croom D., Hida H., Kirov S. A. (2011). Capillary blood flow around microglial somata determines dynamics of microglial processes in ischemic conditions. Glia 59 1744–1753. 10.1002/glia.21220 [DOI] [PMC free article] [PubMed] [Google Scholar]
  167. Mathew D., Giles J. R., Baxter A. E., Oldridge D. A., Greenplate A. R., Wu J. E., et al. (2020). Deep immune profiling of COVID-19 patients reveals distinct immunotypes with therapeutic implications. Science 369:eabc8511. 10.1126/science.abc8511 [DOI] [PMC free article] [PubMed] [Google Scholar]
  168. Matschke J., Lütgehetmann M., Hagel C., Sperhake J. P., Schröder A. S., Edler C., et al. (2020). Neuropathology of patients with COVID-19 in Germany: a post-mortem case series. Lancet Neurol 19 919–929. 10.1016/S1474-4422(20)30308-2 [DOI] [PMC free article] [PubMed] [Google Scholar]
  169. Mazza M. G., De Lorenzo R., Conte C., Poletti S., Vai B., Bollettini I., et al. (2020). Anxiety and depression in COVID-19 survivors: role of inflammatory and clinical predictors. Brain. Behav. Immun. 89 594–600. 10.1016/j.bbi.2020.07.037 [DOI] [PMC free article] [PubMed] [Google Scholar]
  170. McCray P. B., Pewe L., Wohlford-Lenane C., Hickey M., Manzel L., Shi L., et al. (2007). Lethal infection of K18-hACE2 mice infected with severe acute respiratory syndrome coronavirus. J. Virol. 81 813–821. 10.1128/JVI.02012-06 [DOI] [PMC free article] [PubMed] [Google Scholar]
  171. McGinty E. E., Presskreischer R., Han H., Barry C. L. (2020). Psychological distress and loneliness reported by US adults in 2018 and april 2020. JAMA 324 93–94. 10.1001/jama.2020.9740 [DOI] [PMC free article] [PubMed] [Google Scholar]
  172. Mehta P., McAuley D. F., Brown M., Sanchez E., Tattersall R. S., Manson J. J. (2020). COVID-19: consider cytokine storm syndromes and immunosuppression. The Lancet 395 1033–1034. 10.1016/S0140-6736(20)30628-0 [DOI] [PMC free article] [PubMed] [Google Scholar]
  173. Melani A., Amadio S., Gianfriddo M., Vannucchi M. G., Volontè C., Bernardi G., et al. (2006). P2X7 receptor modulation on microglial cells and reduction of brain infarct caused by middle cerebral artery occlusion in rat. J. Cereb. Blood Flow Metab. Off. J. Int. Soc. Cereb. Blood Flow Metab. 26 974–982. 10.1038/sj.jcbfm.9600250 [DOI] [PubMed] [Google Scholar]
  174. Merad M., Martin J. C. (2020). Pathological inflammation in patients with COVID-19: a key role for monocytes and macrophages. Nat. Rev. Immunol. 20 355–362. 10.1038/s41577-020-0331-4 [DOI] [PMC free article] [PubMed] [Google Scholar]
  175. Merkler A. E., Parikh N. S., Mir S., Gupta A., Kamel H., Lin E., et al. (2020). Risk of ischemic stroke in patients with coronavirus disease 2019 (COVID-19) vs patients with influenza. JAMA Neurol 77 1366–1372. 10.1001/jamaneurol.2020.2730 [DOI] [PMC free article] [PubMed] [Google Scholar]
  176. Milior G., Lecours C., Samson L., Bisht K., Poggini S., Pagani F., et al. (2016). Fractalkine receptor deficiency impairs microglial and neuronal responsiveness to chronic stress. Brain. Behav. Immun. 55 114–125. 10.1016/j.bbi.2015.07.024 [DOI] [PubMed] [Google Scholar]
  177. Miller A. H., Maletic V., Raison C. L. (2009). Inflammation and its discontents: the role of cytokines in the pathophysiology of major depression. Biol. Psychiatry 65 732–741. 10.1016/j.biopsych.2008.11.029 [DOI] [PMC free article] [PubMed] [Google Scholar]
  178. Moldofsky H., Patcai J. (2011). Chronic widespread musculoskeletal pain, fatigue, depression and disordered sleep in chronic post-SARS syndrome; a case-controlled study. BMC Neurol. 11:37. 10.1186/1471-2377-11-37 [DOI] [PMC free article] [PubMed] [Google Scholar]
  179. Moore J. B., June C. H. (2020). Cytokine release syndrome in severe COVID-19. Science 368 473–474. 10.1126/science.abb8925 [DOI] [PubMed] [Google Scholar]
  180. Moriguchi T., Harii N., Goto J., Harada D., Sugawara H., Takamino J., et al. (2020). A first case of meningitis/encephalitis associated with SARS-Coronavirus-2. Int. J. Infect. Dis. 94 55–58. 10.1016/j.ijid.2020.03.062 [DOI] [PMC free article] [PubMed] [Google Scholar]
  181. Mukandala G., Tynan R., Lanigan S., O’Connor J. J. (2016). The Effects of Hypoxia and Inflammation on Synaptic Signaling in the CNS. Brain Sci. 6:6. 10.3390/brainsci6010006 [DOI] [PMC free article] [PubMed] [Google Scholar]
  182. Murta V., Villarreal A., Ramos A. J. (2020). Severe acute respiratory syndrome coronavirus 2 impact on the central nervous system: are astrocytes and microglia main players or merely bystanders? ASN Neuro 12 1759091420954960. 10.1177/1759091420954960 [DOI] [PMC free article] [PubMed] [Google Scholar]
  183. Najjar S., Najjar A., Chong D. J., Pramanik B. K., Kirsch C., Kuzniecky R. I., et al. (2020). Central nervous system complications associated with SARS-CoV-2 infection: integrative concepts of pathophysiology and case reports. J. Neuroinflammation 17:231. 10.1186/s12974-020-01896-0 [DOI] [PMC free article] [PubMed] [Google Scholar]
  184. Nakagaki K., Nakagaki K., Taguchi F. (2005). Receptor-independent spread of a highly neurotropic murine coronavirus JHMV strain from initially infected microglial cells in mixed neural cultures. J. Virol. 79 6102–6110. 10.1128/JVI.79.10.6102-6110.2005 [DOI] [PMC free article] [PubMed] [Google Scholar]
  185. Naughton S. X., Raval U., Pasinetti G. M. (2020). Potential novel role of COVID-19 in Alzheimer’s disease and preventative mitigation strategies. J. Alzheimers Dis. JAD 76 21–25. 10.3233/JAD-200537 [DOI] [PMC free article] [PubMed] [Google Scholar]
  186. Netland J., Meyerholz D. K., Moore S., Cassell M., Perlman S. (2008). Severe acute respiratory syndrome coronavirus infection causes neuronal death in the absence of encephalitis in mice transgenic for human ACE2. J. Virol. 82 7264–7275. 10.1128/JVI.00737-08 [DOI] [PMC free article] [PubMed] [Google Scholar]
  187. Neumann B., Schmidbauer M. L., Dimitriadis K., Otto S., Knier B., Niesen W.-D., et al. (2020). Cerebrospinal fluid findings in COVID-19 patients with neurological symptoms. J. Neurol. Sci. 418:117090. 10.1016/j.jns.2020.117090 [DOI] [PMC free article] [PubMed] [Google Scholar]
  188. Ng K. H., Agius M., Zaman R. (2013). The global economic crisis: effects on mental health and what can be done. J. R. Soc. Med. 106 211–214. 10.1177/0141076813481770 [DOI] [PMC free article] [PubMed] [Google Scholar]
  189. Nie X., Kitaoka S., Tanaka K., Segi-Nishida E., Imoto Y., Ogawa A., et al. (2018). The innate immune receptors TLR2/4 mediate repeated social defeat stress-induced social avoidance through prefrontal microglial activation. Neuron 99 464–479.e7. 10.1016/j.neuron.2018.06.035 [DOI] [PubMed] [Google Scholar]
  190. Nikbakht F., Mohammadkhanizadeh A., Mohammadi E. (2020). How does the COVID-19 cause seizure and epilepsy in patients? The potential mechanisms. Mult. Scler. Relat. Disord. 46:102535. 10.1016/j.msard.2020.102535 [DOI] [PMC free article] [PubMed] [Google Scholar]
  191. Niraula A., Sheridan J. F., Godbout J. P. (2017). Microglia priming with aging and stress. Neuropsychopharmacol. Off. Publ. Am. Coll. Neuropsychopharmacol. 42 318–333. 10.1038/npp.2016.185 [DOI] [PMC free article] [PubMed] [Google Scholar]
  192. Norden D. M., Muccigrosso M. M., Godbout J. P. (2015). Microglial priming and enhanced reactivity to secondary insult in aging, and traumatic CNS injury, and neurodegenerative disease. Neuropharmacology 96 29–41. 10.1016/j.neuropharm.2014.10.028 [DOI] [PMC free article] [PubMed] [Google Scholar]
  193. Nouri-Vaskeh M., Sharifi A., Khalili N., Zand R., Sharifi A. (2020). Dyspneic and non-dyspneic (silent) hypoxemia in COVID-19: possible neurological mechanism. Clin. Neurol. Neurosurg. 198:106217. 10.1016/j.clineuro.2020.106217 [DOI] [PMC free article] [PubMed] [Google Scholar]
  194. Oliveira A. C., Richards E. M., Karas M. M., Pepine C. J., Raizada M. K. (2020). Would repurposing minocycline alleviate neurologic manifestations of COVID-19? Front. Neurosci. 14:577780. 10.3389/fnins.2020.577780 [DOI] [PMC free article] [PubMed] [Google Scholar]
  195. Oxley T. J., Mocco J., Majidi S., Kellner C. P., Shoirah H., Singh I. P., et al. (2020). Large-vessel stroke as a presenting feature of covid-19 in the young. N. Engl. J. Med. 382:e60. 10.1056/NEJMc2009787 [DOI] [PMC free article] [PubMed] [Google Scholar]
  196. Paniz-Mondolfi A., Bryce C., Grimes Z., Gordon R. E., Reidy J., Lednicky J., et al. (2020). Central nervous system involvement by severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2). J. Med. Virol. 92 699–702. 10.1002/jmv.25915 [DOI] [PMC free article] [PubMed] [Google Scholar]
  197. Paolicelli R. C., Bolasco G., Pagani F., Maggi L., Scianni M., Panzanelli P., et al. (2011). Synaptic pruning by microglia is necessary for normal brain development. Science 333 1456–1458. 10.1126/science.1202529 [DOI] [PubMed] [Google Scholar]
  198. Park C. L., Russell B. S., Fendrich M., Finkelstein-Fox L., Hutchison M., Becker J. (2020). Americans’ COVID-19 stress, coping, and adherence to CDC guidelines. J. Gen. Intern. Med. 35 2296–2303. 10.1007/s11606-020-05898-9 [DOI] [PMC free article] [PubMed] [Google Scholar]
  199. Patterson S. L. (2015). Immune dysregulation and cognitive vulnerability in the aging brain: interactions of microglia, IL-1β, BDNF and synaptic plasticity. Neuropharmacology 96 11–18. 10.1016/j.neuropharm.2014.12.020 [DOI] [PMC free article] [PubMed] [Google Scholar]
  200. Pellegrini L., Albecka A., Mallery D. L., Kellner M. J., Paul D., Carter A. P., et al. (2020). SARS-CoV-2 infects the brain choroid plexus and disrupts the Blood-CSF barrier in human brain organoids. Cell Stem Cell 27 951–961.e5. 10.1016/j.stem.2020.10.001 [DOI] [PMC free article] [PubMed] [Google Scholar]
  201. Pezzini A., Padovani A. (2020). Lifting the mask on neurological manifestations of COVID-19. Nat. Rev. Neurol. 16 636–644. 10.1038/s41582-020-0398-3 [DOI] [PMC free article] [PubMed] [Google Scholar]
  202. Pfefferbaum B., Schonfeld D., Flynn B. W., Norwood A. E., Dodgen D., Kaul R. E., et al. (2012). The H1N1 crisis: a case study of the integration of mental and behavioral health in public health crises. Disaster Med. Public Health Prep. 6 67–71. 10.1001/dmp.2012.2 [DOI] [PubMed] [Google Scholar]
  203. Pierce M., Hope H., Ford T., Hatch S., Hotopf M., John A., et al. (2020). Mental health before and during the COVID-19 pandemic: a longitudinal probability sample survey of the UK population. Lancet Psychiatry 7 883–892. 10.1016/S2215-0366(20)30308-4 [DOI] [PMC free article] [PubMed] [Google Scholar]
  204. Pilotto A., Odolini S., Masciocchi S., Comelli A., Volonghi I., Gazzina S., et al. (2020a). Steroid-responsive encephalitis in coronavirus disease 2019. Ann. Neurol. 88 423–427. 10.1002/ana.25783 [DOI] [PMC free article] [PubMed] [Google Scholar]
  205. Pilotto A., Padovani A. Encovid-Bio Network (2020b). Reply to the letter “COVID-19-associated encephalopathy and cytokine-mediated neuroinflammation.”. Ann. Neurol. 88 861–862. 10.1002/ana.25856 [DOI] [PMC free article] [PubMed] [Google Scholar]
  206. Pistell P. J., Morrison C. D., Gupta S., Knight A. G., Keller J. N., Ingram D. K., et al. (2010). Cognitive impairment following high fat diet consumption is associated with brain inflammation. J. Neuroimmunol. 219 25–32. 10.1016/j.jneuroim.2009.11.010 [DOI] [PMC free article] [PubMed] [Google Scholar]
  207. Politi L. S., Salsano E., Grimaldi M. (2020). Magnetic resonance imaging alteration of the brain in a patient with coronavirus disease 2019 (COVID-19) and anosmia. JAMA Neurol. 77 1028–1029. 10.1001/jamaneurol.2020.2125 [DOI] [PubMed] [Google Scholar]
  208. Poyiadji N., Shahin G., Noujaim D., Stone M., Patel S., Griffith B. (2020). COVID-19-associated acute hemorrhagic necrotizing encephalopathy: imaging features. Radiology 296 E119–E120. 10.1148/radiol.2020201187 [DOI] [PMC free article] [PubMed] [Google Scholar]
  209. Puelles V. G., Lütgehetmann M., Lindenmeyer M. T., Sperhake J. P., Wong M. N., Allweiss L., et al. (2020). Multiorgan and renal tropism of SARS-CoV-2. N. Engl. J. Med. 383 590–592. 10.1056/NEJMc2011400 [DOI] [PMC free article] [PubMed] [Google Scholar]
  210. Qin C., Zhou L., Hu Z., Zhang S., Yang S., Tao Y., et al. (2020). Dysregulation of immune response in patients with coronavirus 2019 (COVID-19) in Wuhan. China. Clin. Infect. Dis. 71 762–768. 10.1093/cid/ciaa248 [DOI] [PMC free article] [PubMed] [Google Scholar]
  211. Qiu J., Shen B., Zhao M., Wang Z., Xie B., Xu Y. (2020). A nationwide survey of psychological distress among Chinese people in the COVID-19 epidemic: implications and policy recommendations. Gen. Psychiatry 33 :e100213. 10.1136/gpsych-2020-100213 [DOI] [PMC free article] [PubMed] [Google Scholar]
  212. Radmanesh A., Derman A., Lui Y. W., Raz E., Loh J. P., Hagiwara M., et al. (2020). COVID-19-associated diffuse Leukoencephalopathy and microhemorrhages. Radiology 297 E223–E227. 10.1148/radiol.2020202040 [DOI] [PMC free article] [PubMed] [Google Scholar]
  213. Raivich G., Bohatschek M., Kloss C. U., Werner A., Jones L. L., Kreutzberg G. W. (1999). Neuroglial activation repertoire in the injured brain: graded response, molecular mechanisms and cues to physiological function. Brain Res. Brain Res. Rev. 30 77–105. 10.1016/s0165-0173(99)00007-7 [DOI] [PubMed] [Google Scholar]
  214. Ramani A., Müller L., Ostermann P. N., Gabriel E., Abida-Islam P., Müller-Schiffmann A., et al. (2020). SARS-CoV-2 targets neurons of 3D human brain organoids. EMBO J. 39:e106230. 10.15252/embj.2020106230 [DOI] [PMC free article] [PubMed] [Google Scholar]
  215. Reeve S., Sheaves B., Freeman D. (2019). Sleep disorders in early psychosis: incidence, severity, and association with clinical symptoms. Schizophr. Bull. 45 287–295. 10.1093/schbul/sby129 [DOI] [PMC free article] [PubMed] [Google Scholar]
  216. Reichard R. R., Kashani K. B., Boire N. A., Constantopoulos E., Guo Y., Lucchinetti C. F. (2020). Neuropathology of COVID-19: a spectrum of vascular and acute disseminated encephalomyelitis (ADEM)-like pathology. Acta Neuropathol. (Berl.) 140 1–6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  217. Rhodes J., Chan C., Paxson C., Rouse C. E., Waters M., Fussell E. (2010). The impact of hurricane Katrina on the mental and physical health of low-income parents in New Orleans. Am. J. Orthopsychiatry 80 237–247. 10.1111/j.1939-0025.2010.01027.x [DOI] [PMC free article] [PubMed] [Google Scholar]
  218. Roy E. R., Wang B., Wan Y.-W., Chiu G., Cole A., Yin Z., et al. (2020). Type I interferon response drives neuroinflammation and synapse loss in Alzheimer disease. J. Clin. Invest. 130 1912–1930. 10.1172/JCI133737 [DOI] [PMC free article] [PubMed] [Google Scholar]
  219. Ruan Q., Yang K., Wang W., Jiang L., Song J. (2020). Clinical predictors of mortality due to COVID-19 based on an analysis of data of 150 patients from Wuhan. China. Intensive Care Med. 46 846–848. 10.1007/s00134-020-05991-x [DOI] [PMC free article] [PubMed] [Google Scholar]
  220. Sadasivan S., Zanin M., O’Brien K., Schultz-Cherry S., Smeyne R. J. (2015). Induction of microglia activation after infection with the non-neurotropic A/CA/04/2009 H1N1 influenza virus. PloS One 10:e0124047. 10.1371/journal.pone.0124047 [DOI] [PMC free article] [PubMed] [Google Scholar]
  221. Safaiyan S., Kannaiyan N., Snaidero N., Brioschi S., Biber K., Yona S., et al. (2016). Age-related myelin degradation burdens the clearance function of microglia during aging. Nat. Neurosci. 19 995–998. 10.1038/nn.4325 [DOI] [PMC free article] [PubMed] [Google Scholar]
  222. Sapolsky R. M., Romero L. M., Munck A. U. (2000). How do glucocorticoids influence stress responses? Integrating permissive, suppressive, stimulatory, and preparative actions. Endocr. Rev. 21 55–89. 10.1210/edrv.21.1.0389 [DOI] [PubMed] [Google Scholar]
  223. Satici B., Gocet-Tekin E., Deniz M. E., Satici S. A. (2020). Adaptation of the Fear of COVID-19 Scale: Its Association with Psychological Distress and Life Satisfaction in Turkey. Int. J. Ment. Health Addict. 3 1–9. 10.1007/s11469-020-00294-0 [DOI] [PMC free article] [PubMed] [Google Scholar]
  224. Savage J. C., St-Pierre M.-K., Carrier M., El Hajj H., Novak S. W., Sanchez M. G., et al. (2020). Microglial physiological properties and interactions with synapses are altered at presymptomatic stages in a mouse model of Huntington’s disease pathology. J. Neuroinflammation 17:98. 10.1186/s12974-020-01782-9 [DOI] [PMC free article] [PubMed] [Google Scholar]
  225. Savage J. C., St-Pierre M.-K., Hui C. W., Tremblay M.-E. (2019). Microglial ultrastructure in the hippocampus of a Lipopolysaccharide-induced sickness mouse model. Front. Neurosci. 13:1340. 10.3389/fnins.2019.01340 [DOI] [PMC free article] [PubMed] [Google Scholar]
  226. Savarin C., Bergmann C. C. (2018). Fine tuning the cytokine storm by IFN and IL-10 following neurotropic coronavirus encephalomyelitis. Front. Immunol. 9:3022. 10.3389/fimmu.2018.03022 [DOI] [PMC free article] [PubMed] [Google Scholar]
  227. Schaller T., Hirschbühl K., Burkhardt K., Braun G., Trepel M., Märkl B., et al. (2020). Postmortem examination of patients with COVID-19. JAMA 323 2518–2520. 10.1001/jama.2020.8907 [DOI] [PMC free article] [PubMed] [Google Scholar]
  228. Schneiderman N., Ironson G., Siegel S. D. (2005). Stress and health: psychological, behavioral, and biological determinants. Annu. Rev. Clin. Psychol. 1 607–628. 10.1146/annurev.clinpsy.1.102803.144141 [DOI] [PMC free article] [PubMed] [Google Scholar]
  229. Schwarcz R., Bruno J. P., Muchowski P. J., Wu H.-Q. (2012). Kynurenines in the mammalian brain: when physiology meets pathology. Nat. Rev. Neurosci. 13 465–477. 10.1038/nrn3257 [DOI] [PMC free article] [PubMed] [Google Scholar]
  230. Serrano-Castro P. J., Estivill-Torrús G., Cabezudo-García P., Reyes-Bueno J. A., Ciano Petersen N., Aguilar-Castillo M. J., et al. (2020). Impact of SARS-CoV-2 infection on neurodegenerative and neuropsychiatric diseases: a delayed pandemic? Neurol. Barc. Spain 35 245–251. 10.1016/j.nrl.2020.04.002 [DOI] [PMC free article] [PubMed] [Google Scholar]
  231. Shah F. A., Pike F., Alvarez K., Angus D., Newman A. B., Lopez O., et al. (2013). Bidirectional relationship between cognitive function and pneumonia. Am. J. Respir. Crit. Care Med. 188 586–592. 10.1164/rccm.201212-2154OC [DOI] [PMC free article] [PubMed] [Google Scholar]
  232. Sierra A., Gottfried-Blackmore A. C., McEwen B. S., Bulloch K. (2007). Microglia derived from aging mice exhibit an altered inflammatory profile. Glia 55 412–424. 10.1002/glia.20468 [DOI] [PubMed] [Google Scholar]
  233. Sierra-Torre V., Plaza-Zabala A., Bonifazi P., Abiega O., Díaz-Aparicio I., Tegelberg S., et al. (2020). Microglial phagocytosis dysfunction in the dentate gyrus is related to local neuronal activity in a genetic model of epilepsy. Epilepsia 61 2593–2608. 10.1111/epi.16692 [DOI] [PMC free article] [PubMed] [Google Scholar]
  234. Soares J. L., Oliveira E. M., Pontillo A. (2019). Variants in NLRP3 and NLRC4 inflammasome associate with susceptibility and severity of multiple sclerosis. Mult. Scler. Relat. Disord. 29 26–34. 10.1016/j.msard.2019.01.023 [DOI] [PubMed] [Google Scholar]
  235. Solomon I. H., Normandin E., Bhattacharyya S., Mukerji S. S., Keller K., Ali A. S., et al. (2020). Neuropathological features of Covid-19. N. Engl. J. Med. 383 989–992. 10.1056/NEJMc2019373 [DOI] [PMC free article] [PubMed] [Google Scholar]
  236. Sønderskov K. M., Dinesen P. T., Santini Z. I., Østergaard S. D. (2020). The depressive state of Denmark during the COVID-19 pandemic. Acta Neuropsychiatr. 32 226–228. 10.1017/neu.2020.15 [DOI] [PMC free article] [PubMed] [Google Scholar]
  237. Sormunen E., Saarinen M. M., Salokangas R. K. R., Telama R., Hutri-Kähönen N., Tammelin T., et al. (2017). Effects of childhood and adolescence physical activity patterns on psychosis risk-a general population cohort study. NPJ Schizophr. 3:5. 10.1038/s41537-016-0007-z [DOI] [PMC free article] [PubMed] [Google Scholar]
  238. Squarzoni P., Oller G., Hoeffel G., Pont-Lezica L., Rostaing P., Low D., et al. (2014). Microglia modulate wiring of the embryonic forebrain. Cell Rep. 8 1271–1279. 10.1016/j.celrep.2014.07.042 [DOI] [PubMed] [Google Scholar]
  239. Steiner J., Bielau H., Brisch R., Danos P., Ullrich O., Mawrin C., et al. (2008). Immunological aspects in the neurobiology of suicide: elevated microglial density in schizophrenia and depression is associated with suicide. J. Psychiatr. Res. 42 151–157. 10.1016/j.jpsychires.2006.10.013 [DOI] [PubMed] [Google Scholar]
  240. Stence N., Waite M., Dailey M. E. (2001). Dynamics of microglial activation: a confocal time-lapse analysis in hippocampal slices. Glia 33 256–266. [PubMed] [Google Scholar]
  241. St-Pierre M.-K., Šimončičová E., Bögi E., Tremblay M.-È. (2020). Shedding light on the dark side of the microglia. ASN Neuro. 64 826–839. 10.1177/1759091420925335 [DOI] [PMC free article] [PubMed] [Google Scholar]
  242. Stratoulias V., Venero J. L., Tremblay M.-È., Joseph B. (2019). Microglial subtypes: diversity within the microglial community. EMBO J 38:e101997. 10.15252/embj.2019101997 [DOI] [PMC free article] [PubMed] [Google Scholar]
  243. Streit W. J., Sammons N. W., Kuhns A. J., Sparks D. L. (2004). Dystrophic microglia in the aging human brain. Glia 45 208–212. 10.1002/glia.10319 [DOI] [PubMed] [Google Scholar]
  244. Sulzer D., Antonini A., Leta V., Nordvig A., Smeyne R. J., Goldman J. E., et al. (2020). COVID-19 and possible links with Parkinson’s disease and parkinsonism: from bench to bedside. NPJ Park. Dis. 6:18. 10.1038/s41531-020-00123-0 [DOI] [PMC free article] [PubMed] [Google Scholar]
  245. Szalay G., Martinecz B., Lénárt N., Környei Z., Orsolits B., Judák L., et al. (2016). Microglia protect against brain injury and their selective elimination dysregulates neuronal network activity after stroke. Nat. Commun. 7:11499. 10.1038/ncomms11499 [DOI] [PMC free article] [PubMed] [Google Scholar]
  246. Szelényi J. (2001). Cytokines and the central nervous system. Brain Res. Bull. 54 329–338. 10.1016/s0361-9230(01)00428-2 [DOI] [PubMed] [Google Scholar]
  247. Tang Z., Gan Y., Liu Q., Yin J.-X., Liu Q., Shi J., et al. (2014). CX3CR1 deficiency suppresses activation and neurotoxicity of microglia/macrophage in experimental ischemic stroke. J. Neuroinflammation 11:26. 10.1186/1742-2094-11-26 [DOI] [PMC free article] [PubMed] [Google Scholar]
  248. Taquet M., Luciano S., Geddes J. R., Harrison P. J. (2020). Bidirectional associations between COVID-19 and psychiatric disorder: retrospective cohort studies of 62 354 COVID-19 cases in the USA. Lancet Psychiatry 8:e1. 10.1016/S2215-0366(20)30462-4 [DOI] [PMC free article] [PubMed] [Google Scholar]
  249. Tay T. L., Béchade C., D’Andrea I., St-Pierre M.-K., Henry M. S., Roumier A., et al. (2017a). Microglia gone rogue: impacts on psychiatric disorders across the Lifespan. Front. Mol. Neurosci. 10:421. 10.3389/fnmol.2017.00421 [DOI] [PMC free article] [PubMed] [Google Scholar]
  250. Tay T. L., Savage J. C., Hui C. W., Bisht K., Tremblay M.-È. (2017b). Microglia across the lifespan: from origin to function in brain development, plasticity and cognition. J. Physiol. 595 1929–1945. 10.1113/JP272134 [DOI] [PMC free article] [PubMed] [Google Scholar]
  251. Tejera D., Mercan D., Sanchez-Caro J. M., Hanan M., Greenberg D., Soreq H., et al. (2019). Systemic inflammation impairs microglial Aβ clearance through NLRP3 inflammasome. EMBO J. 38:e101064. 10.15252/embj.2018101064 [DOI] [PMC free article] [PubMed] [Google Scholar]
  252. Terry R. D., Masliah E., Salmon D. P., Butters N., DeTeresa R., Hill R., et al. (1991). Physical basis of cognitive alterations in Alzheimer’s disease: synapse loss is the major correlate of cognitive impairment. Ann. Neurol. 30 572–580. 10.1002/ana.410300410 [DOI] [PubMed] [Google Scholar]
  253. Thakur V., Jain A. (2020). COVID 2019-suicides: a global psychological pandemic. Brain. Behav. Immun. 88 952–953. 10.1016/j.bbi.2020.04.062 [DOI] [PMC free article] [PubMed] [Google Scholar] [Retracted]
  254. Theret M., Mounier R., Rossi F. (2019). The origins and non-canonical functions of macrophages in development and regeneration. Dev. Camb. Engl. 146:dev156000. 10.1242/dev.156000 [DOI] [PubMed] [Google Scholar]
  255. Tian L., Hui C. W., Bisht K., Tan Y., Sharma K., Chen S., et al. (2017). Microglia under psychosocial stressors along the aging trajectory: Consequences on neuronal circuits, behavior, and brain diseases. Prog. Neuropsychopharmacol. Biol. Psychiatry 79 27–39. 10.1016/j.pnpbp.2017.01.007 [DOI] [PubMed] [Google Scholar]
  256. Tikka T., Fiebich B. L., Goldsteins G., Keinänen R., Koistinaho J. (2001). Minocycline, a tetracycline derivative, is neuroprotective against excitotoxicity by inhibiting activation and proliferation of microglia. J. Neurosci. 21 2580–2588. 10.1523/JNEUROSCI.21-08-02580.2001 [DOI] [PMC free article] [PubMed] [Google Scholar]
  257. Tikka T. M., Koistinaho J. E. (2001). Minocycline provides neuroprotection against N-methyl-D-aspartate neurotoxicity by inhibiting microglia. J. Immunol. Baltim. Md 1950 7527–7533. 10.4049/jimmunol.166.12.7527 [DOI] [PubMed] [Google Scholar]
  258. Torres-Platas S. G., Cruceanu C., Chen G. G., Turecki G., Mechawar N. (2014). Evidence for increased microglial priming and macrophage recruitment in the dorsal anterior cingulate white matter of depressed suicides. Brain. Behav. Immun. 42 50–59. 10.1016/j.bbi.2014.05.007 [DOI] [PubMed] [Google Scholar]
  259. Tremblay M.-E., Madore C., Bordeleau M., Tian L., Verkhratsky A. (2020). Neuropathobiology of COVID-19: the role for glia. Front. Cell. Neurosci. 14:592214. 10.3389/fncel.2020.592214 [DOI] [PMC free article] [PubMed] [Google Scholar]
  260. Troyer E. A., Kohn J. N., Hong S. (2020). Are we facing a crashing wave of neuropsychiatric sequelae of COVID-19? Neuropsychiatric symptoms and potential immunologic mechanisms. Brain. Behav. Immun. 87 34–39. 10.1016/j.bbi.2020.04.027 [DOI] [PMC free article] [PubMed] [Google Scholar]
  261. Tulisiak C. T., Mercado G., Peelaerts W., Brundin L., Brundin P. (2019). Can infections trigger alpha-synucleinopathies? Prog. Mol. Biol. Transl. Sci. 168 299–322. 10.1016/bs.pmbts.2019.06.002 [DOI] [PMC free article] [PubMed] [Google Scholar]
  262. Tynan R. J., Naicker S., Hinwood M., Nalivaiko E., Buller K. M., Pow D. V., et al. (2010). Chronic stress alters the density and morphology of microglia in a subset of stress-responsive brain regions. Brain. Behav. Immun. 24 1058–1068. 10.1016/j.bbi.2010.02.001 [DOI] [PubMed] [Google Scholar]
  263. van den Berg D. F., te Velde A. A. (2020). Severe COVID-19: NLRP3 inflammasome dysregulated. Front. Immunol 11:1580. 10.3389/fimmu.2020.01580 [DOI] [PMC free article] [PubMed] [Google Scholar]
  264. Varatharaj A., Galea I. (2017). The blood-brain barrier in systemic inflammation. Brain. Behav. Immun. 60 1–12. 10.1016/j.bbi.2016.03.010 [DOI] [PubMed] [Google Scholar]
  265. Varatharaj A., Thomas N., Ellul M. A., Davies N. W. S., Pollak T. A., Tenorio E. L., et al. (2020). Neurological and neuropsychiatric complications of COVID-19 in 153 patients: a UK-wide surveillance study. Lancet Psychiatry 7 875–882. 10.1016/S2215-0366(20)30287-X [DOI] [PMC free article] [PubMed] [Google Scholar]
  266. Varga Z., Flammer A. J., Steiger P., Haberecker M., Andermatt R., Zinkernagel A. S., et al. (2020). Endothelial cell infection and endotheliitis in COVID-19. Lancet Lond. Engl. 395 1417–1418. 10.1016/S0140-6736(20)30937-5 [DOI] [PMC free article] [PubMed] [Google Scholar]
  267. Vecchiarelli H. A., Gandhi C. P., Gray J. M., Morena M., Hassan K. I., Hill M. N. (2016a). Divergent responses of inflammatory mediators within the amygdala and medial prefrontal cortex to acute psychological stress. Brain. Behav. Immun. 51 70–91. 10.1016/j.bbi.2015.07.026 [DOI] [PubMed] [Google Scholar]
  268. Vecchiarelli H. A., Gandhi C. P., Hill M. N. (2016b). Acute psychological stress modulates the expression of enzymes involved in the kynurenine pathway throughout corticolimbic circuits in adult male rats. Neural Plast. 2016:7215684. 10.1155/2016/7215684 [DOI] [PMC free article] [PubMed] [Google Scholar]
  269. Vindegaard N., Benros M. E. (2020). COVID-19 pandemic and mental health consequences: systematic review of the current evidence. Brain. Behav. Immun. 89 531–542. 10.1016/j.bbi.2020.05.048 [DOI] [PMC free article] [PubMed] [Google Scholar]
  270. Virhammar J., Kumlien E., Fällmar D., Frithiof R., Jackmann S., Sköld M. K., et al. (2020). Acute necrotizing encephalopathy with SARS-CoV-2 RNA confirmed in cerebrospinal fluid. Neurology 95 445–449. 10.1212/WNL.0000000000010250 [DOI] [PMC free article] [PubMed] [Google Scholar]
  271. Wallace R. (2016). Environmental induction of neurodevelopmental disorders. Bull. Math. Biol. 78 2408–2426. 10.1007/s11538-016-0226-5 [DOI] [PubMed] [Google Scholar]
  272. Wang C., Pan R., Wan X., Tan Y., Xu L., Ho C. S., et al. (2020a). Immediate psychological responses and associated factors during the initial stage of the 2019 coronavirus disease (COVID-19) epidemic among the general population in China. Int. J. Environ. Res. Public. Health 17:1729. 10.3390/ijerph17051729 [DOI] [PMC free article] [PubMed] [Google Scholar]
  273. Wang D., Hu B., Hu C., Zhu F., Liu X., Zhang J., et al. (2020b). Clinical characteristics of 138 hospitalized patients with 2019 novel coronavirus-infected pneumonia in Wuhan. China. JAMA 323 1061–1069. 10.1001/jama.2020.1585 [DOI] [PMC free article] [PubMed] [Google Scholar]
  274. Wang G., Zhang Y., Zhao J., Zhang J., Jiang F. (2020c). Mitigate the effects of home confinement on children during the COVID-19 outbreak. Lancet Lond. Engl. 395 945–947. 10.1016/S0140-6736(20)30547-X [DOI] [PMC free article] [PubMed] [Google Scholar]
  275. Webster C. M., Hokari M., McManus A., Tang X. N., Ma H., Kacimi R., et al. (2013). Microglial P2Y12 deficiency/inhibition protects against brain ischemia. PLoS One 8:e70927. 10.1371/journal.pone.0070927 [DOI] [PMC free article] [PubMed] [Google Scholar]
  276. Weyhern C. H., von Kaufmann I., Neff F., Kremer M. (2020). Early evidence of pronounced brain involvement in fatal COVID-19 outcomes. The Lancet 395:e109. 10.1016/S0140-6736(20)31282-4 [DOI] [PMC free article] [PubMed] [Google Scholar]
  277. Wheeler D. L., Sariol A., Meyerholz D. K., Perlman S. (2018). Microglia are required for protection against lethal coronavirus encephalitis in mice. J. Clin. Invest. 128 931–943. 10.1172/JCI97229 [DOI] [PMC free article] [PubMed] [Google Scholar]
  278. WHO Coronavirus Disease (COVID-19) Dashboard (2020). WHO Coronavirus Disease (COVID-19) Dashboard. Available online at: https://covid19.who.int (accessed December 26, 2020). [Google Scholar]
  279. Wixey J. A., Reinebrant H. E., Carty M. L., Buller K. M. (2009). Delayed P2X4R expression after hypoxia-ischemia is associated with microglia in the immature rat brain. J. Neuroimmunol. 212 35–43. 10.1016/j.jneuroim.2009.04.016 [DOI] [PubMed] [Google Scholar]
  280. Wohleb E. S., Delpech J.-C. (2017). Dynamic cross-talk between microglia and peripheral monocytes underlies stress-induced neuroinflammation and behavioral consequences. Prog. Neuropsychopharmacol. Biol. Psychiatry 79 40–48. 10.1016/j.pnpbp.2016.04.013 [DOI] [PubMed] [Google Scholar]
  281. Wohleb E. S., Hanke M. L., Corona A. W., Powell N. D., Stiner L. M., Bailey M. T., et al. (2011). β-Adrenergic receptor antagonism prevents anxiety-like behavior and microglial reactivity induced by repeated social defeat. J. Neurosci. Off. J. Soc. Neurosci. 31 6277–6288. 10.1523/JNEUROSCI.0450-11.2011 [DOI] [PMC free article] [PubMed] [Google Scholar]
  282. Wohleb E. S., Powell N. D., Godbout J. P., Sheridan J. F. (2013). Stress-induced recruitment of bone marrow-derived monocytes to the brain promotes anxiety-like behavior. J. Neurosci. Off. J. Soc. Neurosci. 33 13820–13833. 10.1523/JNEUROSCI.1671-13.2013 [DOI] [PMC free article] [PubMed] [Google Scholar]
  283. Wu F., Zhao S., Yu B., Chen Y.-M., Wang W., Song Z.-G., et al. (2020a). A new coronavirus associated with human respiratory disease in China. Nature 579 265–269. 10.1038/s41586-020-2008-3 [DOI] [PMC free article] [PubMed] [Google Scholar]
  284. Wu K. K., Chan S. K., Ma T. M. (2005). Posttraumatic stress, anxiety, and depression in survivors of severe acute respiratory syndrome (SARS). J. Trauma. Stress 18 39–42. 10.1002/jts.20004 [DOI] [PMC free article] [PubMed] [Google Scholar]
  285. Wu Y., Xu X., Chen Z., Duan J., Hashimoto K., Yang L., et al. (2020b). Nervous system involvement after infection with COVID-19 and other coronaviruses. Brain. Behav. Immun. 87 18–22. 10.1016/j.bbi.2020.03.031 [DOI] [PMC free article] [PubMed] [Google Scholar]
  286. Wu Z., McGoogan J. M. (2020). Characteristics of and important lessons from the coronavirus disease 2019 (COVID-19) outbreak in China: summary of a report of 72 314 cases from the Chinese center for disease control and prevention. JAMA 323 1239–1242. 10.1001/jama.2020.2648 [DOI] [PubMed] [Google Scholar]
  287. Yaghi S., Ishida K., Torres J., Mac Grory B., Raz E., Humbert K., et al. (2020). SARS-CoV-2 and stroke in a New York healthcare system. Stroke 51 2002–2011. 10.1161/STROKEAHA.120.030335 [DOI] [PMC free article] [PubMed] [Google Scholar]
  288. Yang L., Han Y., Nilsson-Payant B. E., Gupta V., Wang P., Duan X., et al. (2020a). A human pluripotent stem cell-based platform to study SARS-CoV-2 tropism and model virus infection in human cells and organoids. Cell Stem Cell 27 125–136.e7. 10.1016/j.stem.2020.06.015 [DOI] [PMC free article] [PubMed] [Google Scholar]
  289. Yang T., Sun J., Wei B., Liu S. (2020b). SENP1-mediated NEMO de-SUMOylation inhibits intermittent hypoxia induced inflammatory response of microglia in vitro. J. Cell. Physiol. 235 3529–3538. 10.1002/jcp.29241 [DOI] [PubMed] [Google Scholar]
  290. Yirmiya R., Goshen I. (2011). Immune modulation of learning, memory, neural plasticity and neurogenesis. Brain. Behav. Immun. 25 181–213. 10.1016/j.bbi.2010.10.015 [DOI] [PubMed] [Google Scholar]
  291. Yrjänheikki J., Keinänen R., Pellikka M., Hökfelt T., Koistinaho J. (1998). Tetracyclines inhibit microglial activation and are neuroprotective in global brain ischemia. Proc. Natl. Acad. Sci. U.S.A. 95 15769–15774. 10.1073/pnas.95.26.15769 [DOI] [PMC free article] [PubMed] [Google Scholar]
  292. Yrjänheikki J., Tikka T., Keinänen R., Goldsteins G., Chan P. H., Koistinaho J. (1999). A tetracycline derivative, minocycline, reduces inflammation and protects against focal cerebral ischemia with a wide therapeutic window. Proc. Natl. Acad. Sci. U.S.A. 96 13496–13500. 10.1073/pnas.96.23.13496 [DOI] [PMC free article] [PubMed] [Google Scholar]
  293. Zanin L., Saraceno G., Panciani P. P., Renisi G., Signorini L., Migliorati K., et al. (2020). SARS-CoV-2 can induce brain and spine demyelinating lesions. Acta Neurochir. (Wien) 162 1491–1494. 10.1007/s00701-020-04374-x [DOI] [PMC free article] [PubMed] [Google Scholar]
  294. Zhan Y., Paolicelli R. C., Sforazzini F., Weinhard L., Bolasco G., Pagani F., et al. (2014). Deficient neuron-microglia signaling results in impaired functional brain connectivity and social behavior. Nat. Neurosci. 17 400–406. 10.1038/nn.3641 [DOI] [PubMed] [Google Scholar]
  295. Zhang L., Dong L.-Y., Li Y.-J., Hong Z., Wei W.-S. (2012). miR-21 represses FasL in microglia and protects against microglia-mediated neuronal cell death following hypoxia/ischemia. Glia 60 1888–1895. 10.1002/glia.22404 [DOI] [PubMed] [Google Scholar]
  296. Zhao J., Zhao J., Perlman S. (2014). Virus-specific regulatory T cells ameliorate encephalitis by repressing effector T cell functions from priming to effector stages. PLoS Pathog. 10:e1004279. 10.1371/journal.ppat.1004279 [DOI] [PMC free article] [PubMed] [Google Scholar]
  297. Zhao Q., Xie X., Fan Y., Zhang J., Jiang W., Wu X., et al. (2015). Phenotypic dysregulation of microglial activation in young offspring rats with maternal sleep deprivation-induced cognitive impairment. Sci. Rep. 5:9513. 10.1038/srep09513 [DOI] [PMC free article] [PubMed] [Google Scholar]
  298. Zheng S., Fan J., Yu F., Feng B., Lou B., Zou Q., et al. (2020). Viral load dynamics and disease severity in patients infected with SARS-CoV-2 in Zhejiang province, China, January-March 2020: retrospective cohort study. BMJ 369:m1443. 10.1136/bmj.m1443 [DOI] [PMC free article] [PubMed] [Google Scholar]
  299. Zhou J., Li C., Zhao G., Chu H., Wang D., Yan H. H.-N., et al. (2017). Human intestinal tract serves as an alternative infection route for Middle East respiratory syndrome coronavirus. Sci. Adv. 3:eaao4966. 10.1126/sciadv.aao4966 [DOI] [PMC free article] [PubMed] [Google Scholar]
  300. Zhou J., Liu L., Xue P., Yang X., Tang X. (2020). Mental health response to the COVID-19 Outbreak in China. Am. J. Psychiatry 177 574–575. 10.1176/appi.ajp.2020.20030304 [DOI] [PubMed] [Google Scholar]

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