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      In SARS-CoV-2, astrocytes are in it for the long haul

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          Abstract

          The most dire consequences of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection may not manifest during the initial infection but appear later and are disproportionately associated with compromised neural function. Central nervous system (CNS) complications often appear after the acute phase but persist and become prominent later and last for weeks to months (i.e., long COVID). Indeed, while severe neurological diseases accompanying COVID-19 are rare during the acute phase (1, 2), 7.3 to 33.62% of COVID-19 survivors experience long COVID (3, 4), with diverse neurological and neuropsychiatric complications such as headaches, fatigue, anosmia, cognitive impairment, and depression. In addition, surprising brain pathological changes, such as loss of gray matter in several regions of cortex, have been identified in COVID-19 survivors (5). With hundreds of millions of people being affected by SARS-CoV-2 worldwide, concerns have been raised in regard to public health and socioeconomic burdens. One of the key questions remains whether SARS-CoV-2 can infect brain cells directly. To address this, Andrews et al. (6) investigated the primary root of infection in the CNS and presented evidence that SARS-CoV-2 preferentially infects astrocytes in the brain through noncanonical mechanisms. This indicates that the neurological symptoms associated with long COVID arise indirectly from increased neuroinflammation and nonautonomous neuronal death. Foremost to understanding SARS-CoV-2’s impact on the CNS is distinguishing which cells are impacted by this virus and whether these effects are direct or indirect. Given the complexity and diversity of the CNS symptoms, discerning whether health impacts arise from direct infection of the nervous system or indirect hypoxia, coagulopathy, and systemic inflammation that are able to trigger downstream neuroinflammatory responses is essential. Central to addressing these issues is determining which CNS populations are directly infected by the virus. To date, inferences of SARS-CoV-2 infection have largely come from examination of postmortem tissue. Neurotropism, referring to the ability of a virus to infect and replicate in neural tissue, of SARS-CoV-2 remains unclear. Recently, groups have utilized human pluripotent stem cell (hPSC)-based models as a convenient tool to investigate neurotropism of SARS-CoV-2 on various brain cell types and perform large-scale screening of therapeutic targets (7). Interestingly, a study using neural-perivascular organoids identified pericytes in the vascular unit potentially mediate the entry of SARS-CoV-2 into the brain and the spread to astrocytes (8), whose endfeet are in contact with pericytes. In PNAS, Andrews et al. (6) further explored the neurotropism of SARS-CoV-2 using hPSC-derived cortical organoids, as well as primary human cortical tissues during development and in adulthood (Fig. 1). Bolstering the earlier report, they found that SARS-CoV-2 preferentially infects and replicates and propagates in astrocytes, particularly those adjacent to infected vasculature. Notably, this vulnerability of astrocytes to SARS-CoV-2 not only exists during development but also extends to adulthood. In contrast, neurons and microglia are less likely to be directly infected. Importantly, while microglia and astrocytes are both reactivated, a direct dosage-sensitive effect of SARS-CoV-2 is only observed in reactive astrocytes. Fig. 1. Astrocytes are the primary targets of SARS-CoV-2 in the brain. SARS-CoV-2 is shown to preferentially infect astrocytes over neurons in primary and organoid cortical cultures, resulting in astrocyte reactivation and non-cell-autonomous neuronal death. Furthermore, BSG/CD147 and DPP4 are found to be key molecular mediators of SARS-CoV-2 infection in cortical astrocytes. Abbreviations: BBB, blood–brain barrier; CSF, cerebrospinal fluid; CVO, circumventricular organs. Many studies have suggested that SARS-CoV-2 relies on its obligate receptor to enter cells (9). The canonical SARS-CoV-2 receptor, angiotensin-converting enzyme 2 (ACE2), is the major entry receptor for SARS-CoV-2 in many cell types, such as nasal epithelial cells, endothelial cells, and pericytes (10). However, ACE2 expression is undetectable in cortical astrocytes pre- or postinfection. If not ACE2, what are the molecular mechanisms mediating SARS-CoV-2 infection on cortical astrocytes? Andrews et al. (6) first investigated the expression of neuropilin 1 (NRP1), a host factor that can enhance transmembrane serine protease 2 (TMPRSS2)-mediated entry of wild-type SARS-CoV-2 (11). However, NRP1, like ACE2, was not detected in cortical cells that are infected. The receptor basigin (BSG/CD147), which is abundantly coexpressed with SARS-CoV-2 proteases furin (FURIN) and cathepsin B (CTSB) in pericytes and astrocytes, represents an alternative route for SARS-CoV-2 entry (12). In addition, dipeptidyl peptidase 4 (DPP4), the main receptor of Middle East respiratory syndrome–related coronavirus, has been suggested as a binding target for SARS-CoV-2 (13). In PNAS, Andrews et al. (6) demonstrate that DPP4 and BSG/CD147 are able to mediate SARS-CoV-2 infection in astrocytes. Specifically, while knockdown of BSG/CD147 or treatment with DPP4 inhibitor (vildagliptin) significantly reduces SARS-CoV-2 infection, conversely overexpressing BSG/CD147 or DPP4 increases infection in vitro. Both double-stranded RNA (dsRNA)+ cells and N+ cells are increased with DPP4 overexpression, while only dsRNA+ cells are increased with BSG/CD147 overexpression. Taken together, these results suggest that the molecular mechanisms underlying the neurotropism of SARS-CoV-2 are likely mediated by DPP4 and BSG/CD147, which enhances SARS-CoV-2 entry and is important for replication, respectively. What are the functional consequences of SARS-CoV-2 infection of cortical astrocytes? First of all, Andrews et al. (6) found that infected astrocytes show increased reactivity and cellular stress. Moreover, non-cell-autonomous inflammatory effects are found in SARS-CoV-2–infected cultures, such as an increase in reactive microglia and an overall loss of neurons by apoptosis. Studies have suggested that astrocytes are critical support cells in the regulation of brain energy, metabolism, and microenvironment (14). Interestingly, BSG/CD147 is also a key part of the astrocyte metabolic pathways, providing energy support to neurons (15). Therefore, SARS-CoV-2 infection in astrocytes may cause neuronal death indirectly through inflammation and dysfunction of brain energy metabolism. To summarize, Andrews et al. (6) found that SARS-CoV-2 can infect brain astrocytes via DPP4 and BSG/CD147, resulting in elevated inflammation and neuronal death. Although very few published autopsy studies have reported detection of SARS-CoV-2 infection in the brain, authors of a preprint from Brazil who analyzed 26 postmortem brains from individuals who died with COVID-19 found that 5 of them had genetic viral components, as well as SARS-CoV-2 spike protein in the brain (16). Moreover, the majority of these SARS-CoV-2 spike+ cells (65.93%) were astrocytes (16), suggesting astrocytes are the main target cell type in the brain. In circumventing the brain’s immune-privileged status, possible neuroinvasive routes for SARS-CoV-2 include the olfactory system, cranial nerves, dysfunctional blood–brain/cerebrospinal fluid barrier, and circumventricular organs (10, 17). In infecting astrocytes, it is likely that the virus circulates in the brain vasculature and infects pericytes, which in turn is spread into astrocytes through their endfeet. Astrocytic infection results in dysfunction of their metabolic homeostasis, enhancing neuroinflammation and impacting energy support for neurons indirectly. These could contribute to COVID-19–associated CNS complications. More severe neurological and neuropsychiatric symptoms may result from neuronal death or synaptic loss in brain regions that are more vulnerable to pathogenesis, inflammation, or energy deficiency. Since the CNS complications are diverse within different individuals and viral infection is a dynamic process, it will be important to further investigate the correlation between viral load within different brain regions, the neuroimmune response levels, and the CNS symptoms with a larger clinical sample size. Furthermore, it will also be crucial to compare different SARS-CoV-2 variants with regard to their ability to infect brain cell types and understand their correlations to CNS symptoms. If SARS-CoV-2 infection of brain astrocytes in COVID-19 patients is the proximal cause of the observed neurological dysfunctions, the question arises as to how to prevent viral entry preinfection, as well as the means to relieve the ensuing CNS symptoms postinfection. Possible strategies may include, but are not limited to, the blockage of viral infection or replication in pericytes or astrocytes and interventions to reduce neuroinflammation. To relieve the symptoms, approaches to augment metabolic energy to the brain as a means to restore brain homeostasis may also have promise. Although brain organoids do not yet fully replicate the complete cellular and regional diversity in the brain, they are a powerful tool to understand the mechanism of viral tropism and screen for treatment targets. Together, the combination of clinical observations, the in vitro use of human tissues, and organoid cultures will help us better understand COVID-19 pathology in humans and facilitate the development of treatments against SARS-CoV-2 infection.

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          Most cited references18

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          Neuropilin-1 facilitates SARS-CoV-2 cell entry and infectivity

          Another host factor for SARS-CoV-2 Virus-host interactions determine cellular entry and spreading in tissues. Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and the earlier SARS-CoV use angiotensin-converting enzyme 2 (ACE2) as a receptor; however, their tissue tropism differs, raising the possibility that additional host factors are involved. The spike protein of SARS-CoV-2 contains a cleavage site for the protease furin that is absent from SARS-CoV (see the Perspective by Kielian). Cantuti-Castelvetri et al. now show that neuropilin-1 (NRP1), which is known to bind furin-cleaved substrates, potentiates SARS-CoV-2 infectivity. NRP1 is abundantly expressed in the respiratory and olfactory epithelium, with highest expression in endothelial and epithelial cells. Daly et al. found that the furin-cleaved S1 fragment of the spike protein binds directly to cell surface NRP1 and blocking this interaction with a small-molecule inhibitor or monoclonal antibodies reduced viral infection in cell culture. Understanding the role of NRP1 in SARS-CoV-2 infection may suggest potential targets for future antiviral therapeutics. Science, this issue p. 856, p. 861; see also p. 765
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            6-month neurological and psychiatric outcomes in 236 379 survivors of COVID-19: a retrospective cohort study using electronic health records

            Background Neurological and psychiatric sequelae of COVID-19 have been reported, but more data are needed to adequately assess the effects of COVID-19 on brain health. We aimed to provide robust estimates of incidence rates and relative risks of neurological and psychiatric diagnoses in patients in the 6 months following a COVID-19 diagnosis. Methods For this retrospective cohort study and time-to-event analysis, we used data obtained from the TriNetX electronic health records network (with over 81 million patients). Our primary cohort comprised patients who had a COVID-19 diagnosis; one matched control cohort included patients diagnosed with influenza, and the other matched control cohort included patients diagnosed with any respiratory tract infection including influenza in the same period. Patients with a diagnosis of COVID-19 or a positive test for SARS-CoV-2 were excluded from the control cohorts. All cohorts included patients older than 10 years who had an index event on or after Jan 20, 2020, and who were still alive on Dec 13, 2020. We estimated the incidence of 14 neurological and psychiatric outcomes in the 6 months after a confirmed diagnosis of COVID-19: intracranial haemorrhage; ischaemic stroke; parkinsonism; Guillain-Barré syndrome; nerve, nerve root, and plexus disorders; myoneural junction and muscle disease; encephalitis; dementia; psychotic, mood, and anxiety disorders (grouped and separately); substance use disorder; and insomnia. Using a Cox model, we compared incidences with those in propensity score-matched cohorts of patients with influenza or other respiratory tract infections. We investigated how these estimates were affected by COVID-19 severity, as proxied by hospitalisation, intensive therapy unit (ITU) admission, and encephalopathy (delirium and related disorders). We assessed the robustness of the differences in outcomes between cohorts by repeating the analysis in different scenarios. To provide benchmarking for the incidence and risk of neurological and psychiatric sequelae, we compared our primary cohort with four cohorts of patients diagnosed in the same period with additional index events: skin infection, urolithiasis, fracture of a large bone, and pulmonary embolism. Findings Among 236 379 patients diagnosed with COVID-19, the estimated incidence of a neurological or psychiatric diagnosis in the following 6 months was 33·62% (95% CI 33·17–34·07), with 12·84% (12·36–13·33) receiving their first such diagnosis. For patients who had been admitted to an ITU, the estimated incidence of a diagnosis was 46·42% (44·78–48·09) and for a first diagnosis was 25·79% (23·50–28·25). Regarding individual diagnoses of the study outcomes, the whole COVID-19 cohort had estimated incidences of 0·56% (0·50–0·63) for intracranial haemorrhage, 2·10% (1·97–2·23) for ischaemic stroke, 0·11% (0·08–0·14) for parkinsonism, 0·67% (0·59–0·75) for dementia, 17·39% (17·04–17·74) for anxiety disorder, and 1·40% (1·30–1·51) for psychotic disorder, among others. In the group with ITU admission, estimated incidences were 2·66% (2·24–3·16) for intracranial haemorrhage, 6·92% (6·17–7·76) for ischaemic stroke, 0·26% (0·15–0·45) for parkinsonism, 1·74% (1·31–2·30) for dementia, 19·15% (17·90–20·48) for anxiety disorder, and 2·77% (2·31–3·33) for psychotic disorder. Most diagnostic categories were more common in patients who had COVID-19 than in those who had influenza (hazard ratio [HR] 1·44, 95% CI 1·40–1·47, for any diagnosis; 1·78, 1·68–1·89, for any first diagnosis) and those who had other respiratory tract infections (1·16, 1·14–1·17, for any diagnosis; 1·32, 1·27–1·36, for any first diagnosis). As with incidences, HRs were higher in patients who had more severe COVID-19 (eg, those admitted to ITU compared with those who were not: 1·58, 1·50–1·67, for any diagnosis; 2·87, 2·45–3·35, for any first diagnosis). Results were robust to various sensitivity analyses and benchmarking against the four additional index health events. Interpretation Our study provides evidence for substantial neurological and psychiatric morbidity in the 6 months after COVID-19 infection. Risks were greatest in, but not limited to, patients who had severe COVID-19. This information could help in service planning and identification of research priorities. Complementary study designs, including prospective cohorts, are needed to corroborate and explain these findings. Funding National Institute for Health Research (NIHR) Oxford Health Biomedical Research Centre.
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              Mechanisms of SARS-CoV-2 entry into cells

              The unprecedented public health and economic impact of the COVID-19 pandemic caused by infection with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has been met with an equally unprecedented scientific response. Much of this response has focused, appropriately, on the mechanisms of SARS-CoV-2 entry into host cells, and in particular the binding of the spike (S) protein to its receptor, angiotensin-converting enzyme 2 (ACE2), and subsequent membrane fusion. This Review provides the structural and cellular foundations for understanding the multistep SARS-CoV-2 entry process, including S protein synthesis, S protein structure, conformational transitions necessary for association of the S protein with ACE2, engagement of the receptor-binding domain of the S protein with ACE2, proteolytic activation of the S protein, endocytosis and membrane fusion. We define the roles of furin-like proteases, transmembrane protease, serine 2 (TMPRSS2) and cathepsin L in these processes, and delineate the features of ACE2 orthologues in reservoir animal species and S protein adaptations that facilitate efficient human transmission. We also examine the utility of vaccines, antibodies and other potential therapeutics targeting SARS-CoV-2 entry mechanisms. Finally, we present key outstanding questions associated with this critical process. Entry of SARS-CoV-2 into host cells is mediated by the interaction between the viral spike protein and its receptor angiotensin-converting enzyme 2, followed by virus–cell membrane fusion. Worldwide research efforts have provided a detailed understanding of this process at the structural and cellular levels, enabling successful vaccine development for a rapid response to the COVID-19 pandemic.
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                Author and article information

                Journal
                Proc Natl Acad Sci U S A
                Proc Natl Acad Sci U S A
                pnas
                PNAS
                Proceedings of the National Academy of Sciences of the United States of America
                National Academy of Sciences
                0027-8424
                1091-6490
                18 July 2022
                26 July 2022
                18 July 2022
                : 119
                : 30
                : e2209130119
                Affiliations
                [1] aDepartment of Neurobiology, Blavatnik Institute, Harvard Medical School , Boston, MA 02115;
                [2] bStanley Center for Psychiatric Research, Broad Institute of MIT and Harvard , Cambridge, MA 02142;
                [3] cProgram in Neuroscience, Harvard Medical School , Boston, MA 02115
                Author notes
                1To whom correspondence may be addressed. Email: gordon_fishell@ 123456hms.harvard.edu .

                Author contributions: S.H. and G.F. wrote the paper.

                Article
                202209130
                10.1073/pnas.2209130119
                9335203
                35858460
                56bfab7c-3aea-429b-8928-635685fd4618
                Copyright © 2022 the Author(s). Published by PNAS

                This open access article is distributed under Creative Commons Attribution License 4.0 (CC BY).

                History
                Page count
                Pages: 3
                Funding
                Funded by: HHS | NIH | National Institute of Mental Health (NIMH) 100000025
                Award ID: MH071679
                Award Recipient : Gord Fishell
                Funded by: HHS | NIH | National Institute of Mental Health (NIMH) 100000025
                Award ID: MH120096
                Award Recipient : Gord Fishell
                Funded by: HHS | NIH | National Institute of Neurological Disorders and Stroke (NINDS) 100000065
                Award ID: NS081297
                Award Recipient : Gord Fishell
                Funded by: HHS | NIH | National Institute of Neurological Disorders and Stroke (NINDS) 100000065
                Award ID: NS074972
                Award Recipient : Gord Fishell
                Funded by: Simons Foundation (SF) 100000893
                Award ID: NA
                Award Recipient : Gord Fishell
                Funded by: Stuart H.Q. & Victoria Quan Foundation
                Award ID: NA
                Award Recipient : Shuhan Huang
                Categories
                412
                437
                Commentary
                Biological Sciences
                Developmental Biology

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