<?xml version="1.0" encoding="UTF-8" standalone="no"?><?covid-19-tdm?>
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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Immunol.</journal-id>
<journal-title>Frontiers in Immunology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Immunol.</abbrev-journal-title>
<issn pub-type="epub">1664-3224</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fimmu.2021.730088</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Immunology</subject>
<subj-group>
<subject>Review</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Cellular and Molecular Effects of SARS-CoV-2 Linking Lung Infection to the Brain</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Francistiov&#xe1;</surname><given-names>Linda</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="author-notes" rid="fn003"><sup>&#x2020;</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/957695"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Klepe</surname><given-names>Adri&#xe1;n</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
<xref ref-type="author-notes" rid="fn003"><sup>&#x2020;</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/1383420"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Curley</surname><given-names>G&#xe9;za</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/1431430"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Gulya</surname><given-names>K&#xe1;roly</given-names>
</name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/1201485"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Dinny&#xe9;s</surname><given-names>Andr&#xe1;s</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
<xref ref-type="author-notes" rid="fn001"><sup>*</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/355997"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Filkor</surname><given-names>Kata</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/1405729"/>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>BioTalentum Ltd</institution>, <addr-line>G&#xf6;d&#xf6;ll&#x151;</addr-line>, <country>Hungary</country></aff>
<aff id="aff2"><sup>2</sup><institution>Department of Physiology and Animal Health, Institute of Physiology and Animal Health, Hungarian University of Agriculture and Life Sciences</institution>, <addr-line>G&#xf6;d&#xf6;ll&#x151;</addr-line>, <country>Hungary</country></aff>
<aff id="aff3"><sup>3</sup><institution>Department of Cell Biology and Molecular Medicine, University of Szeged</institution>, <addr-line>Szeged</addr-line>, <country>Hungary</country></aff>
<aff id="aff4"><sup>4</sup><institution>Hungarian Centre of Excellence for Molecular Medicine - University of Szeged (HCEMM-USZ) StemCell Research Group, University of Szeged</institution>, <addr-line>Szeged</addr-line>, <country>Hungary</country></aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Pei-Hui Wang, Shandong University, China</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Yunyun Jin, Sun Yat-Sen university, China; Xiaofeng Huang, Cornell University, United States; Xiaohua Duan, Cornell University, United States</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Andr&#xe1;s Dinny&#xe9;s, <email xlink:href="mailto:manuscript.dinnyes@biotalentum.hu">manuscript.dinnyes@biotalentum.hu</email></p>
</fn>
<fn fn-type="other" id="fn002">
<p>This article was submitted to Viral Immunology, a section of the journal Frontiers in Immunology</p>
</fn>
<fn fn-type="equal" id="fn003">
<p>&#x2020;These authors have contributed equally to this work</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>13</day>
<month>08</month>
<year>2021</year>
</pub-date>
<pub-date pub-type="collection">
<year>2021</year>
</pub-date>
<volume>12</volume>
<elocation-id>730088</elocation-id>
<history>
<date date-type="received">
<day>24</day>
<month>06</month>
<year>2021</year>
</date>
<date date-type="accepted">
<day>27</day>
<month>07</month>
<year>2021</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2021 Francistiov&#xe1;, Klepe, Curley, Gulya, Dinny&#xe9;s and Filkor</copyright-statement>
<copyright-year>2021</copyright-year>
<copyright-holder>Francistiov&#xe1;, Klepe, Curley, Gulya, Dinny&#xe9;s and Filkor</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<p>In December 2019, a new viral disease emerged and quickly spread all around the world. In March 2020, the COVID-19 outbreak was classified as a global pandemic and by June 2021, the number of infected people grew to over 170 million. Along with the patients&#x2019; mild-to-severe respiratory symptoms, reports on probable central nervous system (CNS) effects appeared shortly, raising concerns about the possible long-term detrimental effects on human cognition. It remains unresolved whether the neurological symptoms are caused directly by the SARS-CoV-2 infiltration in the brain, indirectly by secondary immune effects of a cytokine storm and antibody overproduction, or as a consequence of systemic hypoxia-mediated microglia activation. In severe COVID-19 cases with impaired lung capacity, hypoxia is an anticipated subsidiary event that can cause progressive and irreversible damage to neurons. To resolve this problem, intensive research is currently ongoing, which seeks to evaluate the SARS-CoV-2 virus&#x2019; neuroinvasive potential and the examination of the antibody and autoantibody generation upon infection, as well as the effects of prolonged systemic hypoxia on the CNS. In this review, we summarize the current research on the possible interplay of the SARS-CoV-2 effects on the lung, especially on alveolar macrophages and direct and indirect effects on the brain, with special emphasis on microglia, as a possible culprit of neurological manifestation during COVID-19.</p>
</abstract>
<kwd-group>
<kwd>COVID-19</kwd>
<kwd>SARS-CoV-2</kwd>
<kwd>neuroinvasion</kwd>
<kwd>microglia</kwd>
<kwd>hypoxia</kwd>
</kwd-group>
<contract-num rid="cn001">No. 766124, No. 739593, No. 814978</contract-num>
<contract-sponsor id="cn001">Horizon 2020 Framework Programme<named-content content-type="fundref-id">10.13039/100010661</named-content>
</contract-sponsor>
<counts>
<fig-count count="5"/>
<table-count count="2"/>
<equation-count count="0"/>
<ref-count count="175"/>
<page-count count="18"/>
<word-count count="9761"/>
</counts>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<title>Introduction</title>
<p>Over the last twenty years, there have been two major new human Coronavirus outbreaks, namely the SARS-CoV in 2002 in China and the MERS-CoV in 2012 in Saudi Arabia (<xref ref-type="bibr" rid="B1">1</xref>, <xref ref-type="bibr" rid="B2">2</xref>). The third novel Coronavirus outbreak occurred at the end of 2019 caused by SARS-CoV-2 in Wuhan, China (<xref ref-type="bibr" rid="B3">3</xref>, <xref ref-type="bibr" rid="B4">4</xref>).</p>
<p>Based on their serological properties, members of the Coronaviridae genus can be grouped into &#x3b1;, &#x3b2;, &#x3b3; and &#x3b4; coronaviruses. The most pathogenic, pandemic-related human coronaviruses belong to the &#x3b2; group (<xref ref-type="bibr" rid="B5">5</xref>). Coronaviruses have a long, positive-sense, single-stranded RNA genome of 26 to 32 kilobases in size. The genome of SARS-CoV-2 contains 14 open reading frames that encode 27 proteins. At the 5&#x2019; region, 15 non-structural proteins required for viral replication are encoded. Open reading frames at the 3&#x2019; region encode those structural proteins - namely spike (S), nucleocapsid (N), an envelope protein (E) and membrane protein (M) - that are required for infection and induce host immune response (<xref ref-type="bibr" rid="B6">6</xref>, <xref ref-type="bibr" rid="B7">7</xref>). In a genome comparison between SARS-CoV and SARS-CoV-2, it was found that 79% of both were identical, and the structural organization of their genomes was the same. In contrast to SARS-CoV, SARS-CoV-2 and MERS displayed less similarity, as only 50% of their genome was identical (<xref ref-type="bibr" rid="B8">8</xref>).</p>
<p>Although SARS-CoV, MERS-CoV, and SARS-CoV-2 have strong structural similarities and mainly cause lower respiratory tract infections and shortness of breath, these viruses have some unique features. A comparison of these three human pathogenic coronaviruses is listed in <xref ref-type="table" rid="T1"><bold>Table 1</bold></xref>.</p>
<table-wrap id="T1" position="float">
<label>Table 1</label>
<caption>
<p>Key comparison of geographical location and epidemiology data of SARS-CoV, MERS and SARS-CoV-2 caused infections.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left"/>
<th valign="top" align="center">SARS-CoV</th>
<th valign="top" align="center">MERS</th>
<th valign="top" align="center">SARS-CoV-2</th>
<th valign="top" align="center">Reference</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Outbreak</td>
<td valign="top" align="left">November, 2002</td>
<td valign="top" align="left">April, 2012</td>
<td valign="top" align="left">December, 2019</td>
<td valign="top" rowspan="2" align="center">(<xref ref-type="bibr" rid="B3">3</xref>, <xref ref-type="bibr" rid="B9">9</xref>, <xref ref-type="bibr" rid="B10">10</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">Location</td>
<td valign="top" align="left">Guangdong, China</td>
<td valign="top" align="left">Jeddah, Saudi-Arabia</td>
<td valign="top" align="left">Wuhan, China</td>
</tr>
<tr>
<td valign="top" align="left">Transmission from animal to human</td>
<td valign="top" align="left">Coming from bats by infecting civets. Transmitted <italic>via</italic> close contact between humans</td>
<td valign="top" align="left">By consuming meat, or milk of infected camel. Only limited transition between humans</td>
<td valign="top" align="left">By touching, or eating of a not clearly verified animal, most probably pangolin. Transmitted between humans <italic>via</italic> close contact</td>
<td valign="top" align="center">(<xref ref-type="bibr" rid="B9">9</xref>&#x2013;<xref ref-type="bibr" rid="B12">12</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">Incubation time</td>
<td valign="top" align="left">2-7</td>
<td valign="top" align="left">5-6</td>
<td valign="top" align="left">2-14</td>
<td valign="top" align="center">(<xref ref-type="bibr" rid="B13">13</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">Age</td>
<td valign="top" align="left">39.9 (1-91)</td>
<td valign="top" align="left">53 (36-66)</td>
<td valign="top" align="left">47 (all ages)</td>
<td valign="top" rowspan="4" align="left">
<uri xlink:href="https://www.who.int/csr/sars/country/table2004_04_21/en/">https://www.who.int/csr/sars/country/table2004_04_21/en/</uri> <uri xlink:href="https://www.who.int/csr/don/26-april-2016-mers-saudi-arabia/en/">https://www.who.int/csr/don/26-april-2016-mers-saudi-arabia/en/</uri> <uri xlink:href="https://globalhealth5050.org/the-sex-gender-and-covid-19-project/dataset/">https://globalhealth5050.org/the-sex-gender-and-covid-19-project/dataset/</uri></td>
</tr>
<tr>
<td valign="top" align="left">Male:female ratio</td>
<td valign="top" align="left">1:1.13</td>
<td valign="top" align="left">2.03:1</td>
<td valign="top" align="left">1.22:1</td>
</tr>
<tr>
<td valign="top" align="left">Mortality</td>
<td valign="top" align="left">9.6%</td>
<td valign="top" align="left">34.4%</td>
<td valign="top" align="left">2% (16<sup>th</sup> june, 2021)</td>
</tr>
<tr>
<td valign="top" align="left">Confirmed cases</td>
<td valign="top" align="left">8096</td>
<td valign="top" align="left">2519</td>
<td valign="top" align="left">177 419 783 (16<sup>th</sup> june, 2021)</td>
</tr>
<tr>
<td valign="top" align="left">Epidemic doubling time</td>
<td valign="top" align="left">4.6 to 14.2 days</td>
<td valign="top" align="left">90</td>
<td valign="top" align="left">6.4</td>
<td valign="top" align="center">(<xref ref-type="bibr" rid="B10">10</xref>, <xref ref-type="bibr" rid="B13">13</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">Predominant cellular receptor</td>
<td valign="top" align="left">ACE2</td>
<td valign="top" align="left">Dipeptidyl Peptidase 4 (DPP4, also known as CD26)</td>
<td valign="top" align="left">ACE2</td>
<td valign="top" align="center">(<xref ref-type="bibr" rid="B9">9</xref>, <xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B15">15</xref>)</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>The mildly pathogenic &#x3b1; Coronaviruses cause upper respiratory tract infections, while the highly pathogenic &#x3b2; Coronaviruses, including SARS-CoV, MERS-CoV, and SARS-CoV-2 cause serious lower respiratory tract symptoms (i.e., pneumonia), resulting in patients requiring respiratory support (<xref ref-type="bibr" rid="B16">16</xref>). Hence SARS-CoV-2 patients have a high risk of experiencing severe systemic hypoxia. Along with these, neurological symptoms may also develop, and the neuroinvasive tendencies of coronaviruses have been documented for almost all of the &#x3b2;CoVs, including SARS-CoV, MERS&#x2010;CoV (<xref ref-type="bibr" rid="B17">17</xref>), HCoV&#x2010;229E (<xref ref-type="bibr" rid="B18">18</xref>), HCoV&#x2010;OC43 (<xref ref-type="bibr" rid="B19">19</xref>) and the mouse hepatitis virus (<xref ref-type="bibr" rid="B20">20</xref>). SARS-CoV-2 also holds the potential for invading the nervous system. From the documented neurological symptoms, the mildest ones are anosmia and ageusia (sudden loss of smell taste) (<xref ref-type="bibr" rid="B21">21</xref>), but otolaryngeal symptoms, i.e., tinnitus, vertigo combined with a loss of hearing may appear (<xref ref-type="bibr" rid="B22">22</xref>). In severe cases, headache, seizures, delirium and even coma can develop (<xref ref-type="bibr" rid="B23">23</xref>). The presence of SARS-CoV-2 was confirmed in cerebrospinal fluid (CSF) taken from an encephalitis patient by next-generation sequencing (<xref ref-type="bibr" rid="B24">24</xref>) and by qRT-PCR indicating the presence of viral RNA in CSF (<xref ref-type="bibr" rid="B25">25</xref>, <xref ref-type="bibr" rid="B26">26</xref>). In autopsy brain samples, Puelles and colleagues detected viral particles (<xref ref-type="bibr" rid="B27">27</xref>). Since the brain is one of the so-called immune-privileged sites of the human body, the investigation of anti-SARS-CoV-2 immunoglobulin G (IgG) production was also in focus, as the presence of antibodies in the CSF indicates intrathecal IgG production (<xref ref-type="bibr" rid="B28">28</xref>). However, in some cases, patients with the presence of SARS-CoV-2 IgG had normal CSF results, like ICP, cell counts, protein and glucose levels (<xref ref-type="bibr" rid="B29">29</xref>). In another, smaller trial, Barreras and her colleagues detected SARS-CoV-2 IgG in the CSF of patients with neurological symptoms. However, IgG levels did not correlate with the time between symptom development to sampling or disease severity (<xref ref-type="bibr" rid="B30">30</xref>).</p>
<p>There are several possible direct and indirect ways SARS-CoV-2 could interact with the CNS (<xref ref-type="bibr" rid="B31">31</xref>). In this review, we will discuss these possible interactions together with the impact of SARS-CoV-2 on alveolar macrophages and focus on the implications of hypoxia and hypoxia-induced factors on microglial cells (<xref ref-type="fig" rid="f1"><bold>Figure 1</bold></xref>).</p>
</sec>
<sec id="s2">
<title>Interactions of SARS-CoV-2 With Host and Immune Cells</title>
<sec id="s2_1">
<title>Binding to ACE2 on the Host Cells</title>
<p>SARS-CoV-2 uses a transmembrane protein angiotensin-converting enzyme 2 (ACE2), a metallo-peptidase expressed not only in the respiratory epithelial cells but in almost every organ of the body. ACE2 is on the membrane of the target cells to establish infection (<xref ref-type="bibr" rid="B14">14</xref>). Based on its structure, the S-protein belongs to the class I fusion proteins. It is formed by two subunits, namely S1 on the N-terminal surface mediates receptor binding; and the S2 subunit, a transmembrane peptide on the C-terminal, is responsible for the internalization of the virion in the host cell (<xref ref-type="bibr" rid="B32">32</xref>).The binding affinity between the S protein of SARS-CoV-2 and the ACE2 is nearly ten-fold higher than in the case of SARS-CoV. Besides the attachment to the host ACE2 receptor, the priming of S protein by transmembrane protease serine 2 (TMPRSS2), a host membrane serine protease on the cell membrane, is also needed to permit the entry of the SARS-CoV-2 (<xref ref-type="bibr" rid="B33">33</xref>). Upon the formation of the bond, conformation changes take place in the S protein. It is cleaved by TMPRSS2, thereby allowing the release of the S2 subunit, and facilitating the entry of viral RNA into the cytoplasm of the host cell (<xref ref-type="bibr" rid="B32">32</xref>). As potential strategies for the treatment of COVID-19, the pharmacological inhibition of TMPRSS2 or the bond between human recombinant soluble ACE2 and the receptor-binding domain of S-protein could significantly reduce infection by SARS-CoV-2 (<xref ref-type="bibr" rid="B34">34</xref>) (<xref ref-type="fig" rid="f2"><bold>Figure 2A</bold></xref>).</p>
<fig id="f1" position="float">
<label>Figure 1</label>
<caption>
<p>An overview of the topics covered in this review. Our review discusses how SARS-CoV-2 interacts with immune cells with a special focus on alveolar macrophages. Further, we will discuss how viral particles enter the brain and interacts with microglia cells.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-12-730088-g001.tif"/>
</fig>
<fig id="f2" position="float">
<label>Figure 2</label>
<caption>
<p>To infect the host cell, SARS-CoV-2 can exploit different receptors. In most infected cells, including epithelial and alveolar cells, the virus binds to ACE2 receptor <bold>(A)</bold>, while during infection of macrophages, Fc&#x3b3; receptors are utilized in the antibody-directed enhancement mechanism <bold>(B)</bold>.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-12-730088-g002.tif"/>
</fig>
<p>The ACE2 receptor plays a physiological role in the renin-angiotensin system, and it indirectly affects the signaling pathway. ACE2 converts Angiotensin II (Ang II) into Angiotensin 1-7 [Ang-(1-7)], which binds to the Mas receptor that has a protective role in the lungs, as well as in other organs. However, in the case of Ang II binding to its receptor, vascular permeability can be facilitated by the JAK/STAT signaling pathway (<xref ref-type="bibr" rid="B35">35</xref>). During acute lung injury fibrosis, and when patients are exposed to the SARS-CoV-2 infection, ACE inhibitors and Ang II receptor blockers (ARBs) could moderate the lung injury by shifting the system towards the protective pathway [ACE2/Ang-(1-7)] (<xref ref-type="bibr" rid="B36">36</xref>). ACE inhibitors reduce hypertension which is common among patients with SARS-CoV-2. The concerns related to high blood pressure and COVID-19 are justified here because the co-occurrence of the two diseases is relatively high and this has been reported in several studies (<xref ref-type="bibr" rid="B37">37</xref>, <xref ref-type="bibr" rid="B38">38</xref>). Furthermore, ACE2 is cleaved by increased activity of the transmembrane proteinase (ADAM17), indicated by the activation of the receptor of the tumor necrosis factor-&#x3b1; (TNF-&#x3b1;). Upon the release of cytokines such as IL-6, IL-1&#x3b2; and IFN-&#x3b3; along with TNF-&#x3b1; due to SARS-CoV-2 infection, inhibition of the expression of ACE2 has been reported (<xref ref-type="bibr" rid="B35">35</xref>), leading to an imbalance in homeostasis and to inflammation and a cytokine storm (<xref ref-type="bibr" rid="B34">34</xref>).</p>
</sec>
<sec id="s2_2">
<title>Primary Immune Evasion Strategy</title>
<p>The primary infected organ of SARS-CoV-2 is the lung causing acute respiratory distress syndrome (ARDS) and respiratory failure (<xref ref-type="bibr" rid="B39">39</xref>). Initially the virus infects the respiratory epithelial cells, which highly express ACE2 that provides an excellent entry for the virus (<xref ref-type="bibr" rid="B14">14</xref>). After having formed the bond between the S protein and ACE2 receptor, the virus can evade the immune system by effectively inhibiting the activation of TNF receptor-associated factors (TRAF) 3/6, which are key molecules in activating downstream signaling such as in interferon regulatory factor (IRF) 3/7 and nuclear factor kappa B (NF-&#x3ba;B) signaling pathways (<xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B40">40</xref>). Deactivation of further transcription factors and the suppression of early pro-inflammatory responses through type I interferon (IFN-I) signaling, the coronavirus can start limiting antiviral response mechanisms (<xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B41">41</xref>). The evasion of IFN-I-mediated innate immunity is likely orchestrated by the viral protein N which acts as an antagonist of IFN signaling. In this scenario, novel coronaviruses can counteract IFN expression by inhibiting the phosphorylation and nuclear translocation of transcription factors of the JAK/STAT signaling pathway (<xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B39">39</xref>, <xref ref-type="bibr" rid="B42">42</xref>). The suppressed expression of IFN-I can lead to an insufficient response of the host cells and inadequate clearance of viral infections (<xref ref-type="bibr" rid="B43">43</xref>). Thus, the activation of early antiviral programs appears to be prohibited contributing to the evasion of innate antiviral immunity by the coronavirus (<xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B39">39</xref>). Through the suppressed expression of IFN-I, virions can regulate IFN-I signaling in infected macrophages, in which an increased level of pro-inflammatory cytokine expression (especially TNF-&#x3b1; and&#xa0;IL-6) <italic>via</italic> the NF-&#x3ba;B cascade is auto-amplified through positive feedback loops. These can contribute to triggering hyperinflammation and to developing a cytokine storm (<xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B41">41</xref>).</p>
<p>On the other hand, at a later stage, the activation of antiviral programs and the recruitment of non-infected immune cells occur. Virus particles released from the infected dead cells are recognized by endosomal RNA pattern recognition receptors (PRRs) which leads to the activation of the innate immune system and its cellular machinery (<xref ref-type="bibr" rid="B39">39</xref>, <xref ref-type="bibr" rid="B44">44</xref>). Recent studies reported that not only the main RNA sensors, including cytoplasmic retinoic acid-inducible gene I (RIG-I) and melanoma differentiation-associated gene 5 (MDA5), have a key role in the detection and identification of coronavirus derived PAMPs (<xref ref-type="bibr" rid="B45">45</xref>, <xref ref-type="bibr" rid="B46">46</xref>), but also pattern recognition toll-like receptors 3 and 7 (TLR-3 and TLR-7) are activated. TLRs induce IFN-I response and further increase the expression of IL-1&#x3b2;, IL-6 and TNF-&#x3b1; through MAVS, IRF3 and NF-&#x3ba;B cascades in immune cells (<xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B44">44</xref>, <xref ref-type="bibr" rid="B47">47</xref>). Therefore, the innate immune system is activated and macrophages are recruited to the lungs where hyperinflammation is triggered (<xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B41">41</xref>) (<xref ref-type="fig" rid="f3"><bold>Figure 3</bold></xref>).</p>
<fig id="f3" position="float">
<label>Figure 3</label>
<caption>
<p>A brief overview of the SARS-CoV-2 virus&#x2019; immune evasion strategies. After infecting the host cell, the internalization of the viral particle, the transcription of the viral RNA starts with the translation of ORF1a and ORF2b, which generates proteins participating in the further transcription, host modulation, and immune evasion (1). In the cell, the presence of viral particles or viral RNA is being recognized by pattern recognition receptors such as toll-like receptors (TLR), retinoic acid-inducible gene I (RIG-1), and melanoma differentiation-associated protein 5 (MDA5) (2). TLRs (TLR 3, 7, and 8) are localized on endosomes and together with the cytoplasmatic viral sensors RIG-1 and MDA5, which orchestrate the translocation of NF-&#x3ba;B and IRF3 to the nucleus, leading to the expression of pro-inflammatory cytokines and type 1 and 3 interferons (INF-1/3). While TLRs activate TNF-associated factor 6 (TRAF6), RIG-1 and MDA5 act through mitochondrial antiviral protein (MAVS), to TRAF3/6, to IRF3/7. Viral protein N and M can alter the ubiquitination and degradation of RIG-1 and MDA5 sensors (3), thus restrains the activation of MAVS, TRAF3/6, and prevents IRF-3/7 and NF-&#x3ba;B signaling. N protein can also counteract IFN-1 production by inhibition of signal transducer and activator of transcription protein 1 and 2 (STAT1/2) phosphorylation and activation for further signaling (4). Additionally, some of the non-structural proteins (Nsp3, 8 and others - not shown) can also execute immunomodulatory functions, such as contributing to the inhibition of MDA5 (5a), IRF3 (5b), or stabilizing the NF-&#x3ba;B inhibitor I&#x3ba;B&#x3b1; (5c). Viral protein M also participates in immune evasion by blocking TRAF3 and binding to RIG-1, MDA5, and MAVS and preventing their interaction (6).</p>
</caption>
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<sec id="s2_3">
<title>Recruitment of Hypoxic Alveolar Macrophages</title>
<p>A less prevalent route for the immune evasion of SARS-CoV-2 is the infection of alveolar macrophages. While the &#x201c;conventional&#x201d; way of the entry of viral particles to the host cells is ACE2-mediated, in some cases, macrophages can be infected, and this happens <italic>via</italic> an antibody/Fc&#x3b3;-mediated route. In this situation, SARS&#x2212;CoV&#x2212;2 virions are recognized by cross reactive neutralizing antibodies against seasonal coronaviruses (<xref ref-type="bibr" rid="B48">48</xref>); and then are taken up by the macrophage cells <italic>via</italic> Fc&#x3b3;-receptors in a mechanism termed antibody directed enhancement (ADE) (<xref ref-type="bibr" rid="B49">49</xref>) (<xref ref-type="fig" rid="f2"><bold>Figure 2B</bold></xref>). Once taken up <italic>via</italic> Fc&#x3b3; receptors, the virus particles inhibit the signaling of IFN-I in infected macrophages (<xref ref-type="bibr" rid="B14">14</xref>), leading to an increased expression of pro-inflammatory factors (IL-1&#x3b2;, IL-6 and TNF-&#x3b1;), which might result in hyperinflammation (<xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B41">41</xref>). Besides this, the number of alveolar macrophages present during SARS-CoV-2 infection correlates well with disease severity (<xref ref-type="bibr" rid="B50">50</xref>). In the case of SARS-CoV, the delayed release of cytokines and chemokines was found in bronchial epithelial cells and macrophages at the early stage of infection <italic>in vitro</italic> cell experiments (<xref ref-type="bibr" rid="B51">51</xref>). Breathing difficulties caused by disrupted respiratory epithelial cells and the reduced alveolar partial pressure of oxygen (PO<sub>2</sub>) induce hypoxia, which causes inflammation and a hypoxic state in alveolar macrophages (<xref ref-type="bibr" rid="B52">52</xref>). The increased pulmonary expression of significant amounts of pro-inflammatory cytokines, NF-&#x3ba;B and hypoxia-inducible factor-1 &#x3b1; (HIF-1&#x3b1;) help uninfected, activated macrophages to invade into the alveoli, which recruit other immune cells such as CD8<sup>+</sup> T effectors, and this produces more clones and causes tissue damage (<xref ref-type="bibr" rid="B50">50</xref>, <xref ref-type="bibr" rid="B52">52</xref>, <xref ref-type="bibr" rid="B53">53</xref>).</p>
</sec>
<sec id="s2_4">
<title>Factors in Alveolar Macrophages During Hypoxia</title>
<p>In hypoxic alveolar macrophages, the expression of neurokinin-1 receptors is upregulated (<xref ref-type="bibr" rid="B52">52</xref>), and this hypoxic event induces the production of multiple factors such as reactive oxygen species (ROS) enzymes, transcriptional factors, and MAPKs (<xref ref-type="bibr" rid="B54">54</xref>). In the hypoxic state, when the O<sub>2</sub> levels are at 10% instead of the normoxic 21%, the activated alveolar macrophages contribute to the release of H<sub>2</sub>O<sub>2,</sub> leading to the inflammatory response (<xref ref-type="bibr" rid="B55">55</xref>). Likewise, in SARS-CoV-2, when alveolar macrophages are infected in the early phase of the disease, the secretion of pro-inflammatory cytokines (IL-1&#x3b2;, IL-6, IL-18 and TNF-&#x3b1;) and chemokines (CCL2, CCL3, CCL5) contributes to maintaining the emerged inflammation (<xref ref-type="bibr" rid="B14">14</xref>). Additionally, the autophagy of macrophages and activation <italic>via</italic> HIF-1&#x3b1; might result from hypoxia as well (<xref ref-type="bibr" rid="B56">56</xref>). HIF-1&#x3b1;, as a major transcription factor involved in response to reduced cellular oxygen levels, is significantly increased in the hypoxic state, while under physiological conditions, the levels of HIF-1&#x3b1; remain low (<xref ref-type="bibr" rid="B56">56</xref>). In response to hypoxia, increased mRNA, and protein levels of IL-8 and TNF-&#x3b1; have been observed, and these typical pro-inflammatory cytokines are released by macrophages and especially by microglia in the CNS (<xref ref-type="bibr" rid="B56">56</xref>).</p>
<p>Furthermore, the elevated expression of IFN-&#x3b1;/&#x3b2; and IL-6 can be detected (<xref ref-type="bibr" rid="B57">57</xref>), and secreted IFN-&#x3bb; can disrupt the lung epithelial barrier by inhibiting the lung epithelial proliferation and its repair directly (<xref ref-type="bibr" rid="B58">58</xref>). While SARS-CoV-2 infects the macrophages, a viral cascade limits the antiviral response mechanisms by suppressing the activation of transcription factors (such as NF-&#x3ba;B and IRF3/7), thereby limiting the release of IFN-Is and allowing the secretion of the above-mentioned pro-inflammatory cytokines (<xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B53">53</xref>). The positive feedback loops of inflammatory cascade by infected cells may contribute to hyperinflammation and the cytokine storm syndrome, the latter of which is also a key factor in extrapulmonary multiple-organ failure (<xref ref-type="bibr" rid="B51">51</xref>).</p>
</sec>
<sec id="s2_5">
<title>Factors in the Blood Serum and Cells Infiltrated to the Bronchoalveolar Fluid</title>
<p>In the blood serum, high levels of C-reactive protein (CRP), ferritin, and D-dimer emerge during the course of COVID-19 infection (<xref ref-type="bibr" rid="B59">59</xref>, <xref ref-type="bibr" rid="B60">60</xref>), suggesting an ongoing strong inflammation with self-perpetuating tendencies (<xref ref-type="bibr" rid="B61">61</xref>). Moreover, the increased serum levels of CCL7, CXCL10, and IL-1RA, and the presence of CCL2 and CCL7 in the bronchoalveolar fluid were found, pointing towards the activation of signaling towards macrophage recruitment. All of these changes might be associated with disease severity, lung disruption and have a potentially fatal outcome (<xref ref-type="bibr" rid="B62">62</xref>). To explain the elevated levels of these molecules, the high production of IL-6 and the activated macrophages should be taken into account. IL-6 is a cytokine of pleiotropic activity, but during viral infections, IL-6 is considered one of the most important cytokines for its regulation of T-cell response, prevention of viral-induced apoptosis of lung epithelial cells, regulation of IgG isotype switching, and other functions (<xref ref-type="bibr" rid="B63">63</xref>, <xref ref-type="bibr" rid="B64">64</xref>). Moreover, an increased IL-6 level in the serum is associated with a negative prognosis in patients with SARS-CoV-2 (<xref ref-type="bibr" rid="B65">65</xref>). In COVID-19 patients, the gene expression of subsets of CD4<sup>+</sup> and CD8<sup>+</sup> T cells were observed in the bronchoalveolar fluid, and these subsets were activated differently; moreover, the B cell populations were altered, while the monocyte infiltration was minimal (<xref ref-type="bibr" rid="B53">53</xref>, <xref ref-type="bibr" rid="B60">60</xref>). Furthermore, IgG levels declined about two months after symptoms of the early onset of the disease, but the recovered patients maintained high spike-specific IgG titers (<xref ref-type="bibr" rid="B60">60</xref>). The findings show that many factors and cells can be present in the blood and in the tissue fluid after a lung infection.</p>
</sec>
<sec id="s2_6">
<title>T Cells and Autoantibodies Involvement in the CNS</title>
<p>A key component of any immune response, including the response to SARS-CoV-2, is the activation of CD4<sup>+</sup> and CD8<sup>+</sup> T cells and the subsequent production of neutralizing antibodies (<xref ref-type="bibr" rid="B66">66</xref>). It is very interesting that the profile of anti-SARS-CoV-2 antibodies in the plasma and CSF differs within the same COVID-19 patient, suggesting a compartmentalized immune response within the brain (<xref ref-type="bibr" rid="B67">67</xref>). Such divergent humoral response indirectly supports neuroinvasion of SARS-CoV-2 during acute infection. Longitudinal profiling studies of neutralizing antibodies against SARS-CoV in 2005 revealed that recovered SARS patients had developed high levels of neutralizing antibodies, while patients with a shorter illness duration displayed higher neutralizing antibody activity compared to patients with a longer illness duration (<xref ref-type="bibr" rid="B68">68</xref>, <xref ref-type="bibr" rid="B69">69</xref>). This suggests that antibody responses do indeed play a role in determining the disease outcome. Based on the similarities between SARS-CoV and SARS CoV -2, it is likely that neutralizing processes against SARS-CoV-2 antibodies also develop; and this could contribute to the course, duration, and possible termination of acute infection in the lung and other organs, including the CNS.</p>
<p>As is well known, the CNS contains CD4<sup>+</sup> and CD8<sup>+</sup> T cells, which patrol and protect the borders of CNS, while CD8<sup>+</sup> T cells provide a cytotoxic defense against viral infections in the brain parenchyma (<xref ref-type="bibr" rid="B70">70</xref>&#x2013;<xref ref-type="bibr" rid="B72">72</xref>). Aside from the direct cytotoxic reactions in the presence of viral particles in the brain, local cytokine and chemokine milieu is important for T cell generation, retention and infiltration to the brain. Thus, T cells might contribute to cytokine production and further exacerbate inflammatory conditions in the brain by paracrine signaling to microglia (<xref ref-type="bibr" rid="B73">73</xref>). For this reason, it might be worthwhile examining the T cell involvement during the course of SARS-CoV-2 infection in the brain-resident T cells. During CNS infection with neurotropic viruses, T cells infiltration is followed by B cells infiltration to ensure local secretion of antibodies since a passage of antibodies from serum into the brain is prevented by BBB (<xref ref-type="bibr" rid="B74">74</xref>).</p>
<p>Recently, several reports emerged describing the presence of autoantibodies in high proportions of patients with the most severe cases. These reports show that about 10% of the tested patients with severe COVID-19 had antibodies against the type I interferon molecules and other autoantibodies against proteins of blood vessels, heart, and brain (<xref ref-type="bibr" rid="B75">75</xref>, <xref ref-type="bibr" rid="B76">76</xref>). These findings could explain the delay in the onset of the severe COVID-19 symptoms, how the &#x201c;long COVID&#x201d; develops, and why sometimes lung damage continues to progress long after the virus is no longer detectable in the body. Intensive research on this issue is currently ongoing. It could provide clues on the possibility that some people might be predisposed to producing autoantibodies and hence potentially be more likely to develop severe COVID-19 disease.</p>
</sec>
</sec>
<sec id="s3">
<title>Entering the Brain by SARS-CoV-2</title>
<p>COVID-19 patients may be at a higher risk of infection of the nervous system, encephalitis and developing cognitive decline after displaying symptoms such as olfactory and gustatory dysfunctions, among others (<xref ref-type="bibr" rid="B72">72</xref>). Although CNS is not the primary organ affected by SARS-CoV-2, viruses can directly invade the CNS and damage nerves and neurons that were identified as targets of this viral infection (<xref ref-type="bibr" rid="B31">31</xref>). SARS-CoV-2 can migrate by retrograde or anterograde neuronal transport through motor proteins by infecting motor or sensory nerve endings (<xref ref-type="bibr" rid="B31">31</xref>). Moreover, SARS-CoV-2 can gain access to the brain either through the olfactory tract or <italic>via</italic> the lung epithelium (<xref ref-type="bibr" rid="B77">77</xref>) (<xref ref-type="fig" rid="f4"><bold>Figure 4</bold></xref>). In several COVID&#x2212;19 cases, neurological complications were reported, including mild symptoms such as confusion, fatigue, anxiety, reversal of sleep-wake cycle, and headaches (<xref ref-type="bibr" rid="B78">78</xref>). But also severe neurological syndromes such as encephalopathies (<xref ref-type="bibr" rid="B79">79</xref>) (often with delirium or psychosis), meningo-encephalitis (<xref ref-type="bibr" rid="B25">25</xref>), ischemic stroke (<xref ref-type="bibr" rid="B80">80</xref>), acute necrotizing encephalopathy (<xref ref-type="bibr" rid="B81">81</xref>), and Guillain-Barr&#xe9; syndrome (<xref ref-type="bibr" rid="B82">82</xref>). An impressive cohort study by Peterson et al. provides a comparative analysis of neurological data from patients with COVID-19-related neurological disorders. Interestingly, many of the patients had only mild respiratory symptoms, showing that these complications were not related to the severity of the respiratory COVID&#x2212;19, and thus suggesting that the primary affected organ was the brain. However, none of the patients tested for the presence of SARS&#x2212;CoV&#x2212;2 protein in CSF were positive (<xref ref-type="bibr" rid="B83">83</xref>). Another cohort study focused on neurological complications of COVID&#x2212;19 additionally showed that the primary neurological impairments in younger patients comprise psychiatric diagnoses with alterations in mental status and encephalopathy or encephalitis, while in older patients (&gt;60 years), the leading neurological complications were of cerebrovascular origin (<xref ref-type="bibr" rid="B84">84</xref>). Although extremely valuable, these studies present data sets collected from a small number of patients, and as authors remarked, it could show a bias towards severe disease. At the same time, they highlight the importance of future studies of the neurological complications accompanying COVID-19 and follow-up studies of the affected patients that will help uncover the long-term effects of the disease. In this section, we will explore the possibilities of the SARS&#x2212;CoV&#x2212;2 to directly infect the brain, while in the later sections, we will discuss the indirect, possibly immune-overactivation-based routes of COVID&#x2212;19-related CNS damage.</p>
<fig id="f4" position="float">
<label>Figure 4</label>
<caption>
<p>Schematic overview of the possible interactions of SARS-CoV-2 and CNS. SARS-CoV-2 particles could potentially and negatively influence the CNS by multiple means. 1. Directly entering the CNS <italic>via</italic> crossing the BBB. 2. By-passing the BBB by entering <italic>via</italic> the olfactory nerve. 3. Indirect influence <italic>via</italic> microglia activation by cytokines infiltration from the periphery and hypoxia-induced activation.</p>
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<sec id="s3_1">
<title>Viral Entry Through the BBB</title>
<p>The CNS, sometimes described as &#x201c;immune privileged&#x201d;, is under normal conditions carefully sheltered against the invasion of pathogens from the outside environments as well as from the periphery. At the forefront of the brain&#x2019;s immune privilege is the neurovascular unit, which consists of endothelial cells, associated blood-brain barrier (BBB) tight junctions (TJ), basal lamina, pericytes, parenchymal cells, astrocytes, neurons, and interneurons. The neurovascular unit ensures the maintenance of the BBB, cerebral homeostasis, and the cerebral blood flow (<xref ref-type="bibr" rid="B85">85</xref>). To further ensure protection against unwanted inflammation, along with the BBB, which separates the brain parenchyma from the peripheral blood (<xref ref-type="bibr" rid="B86">86</xref>), other biological barriers are present in the brain. The blood-retina barrier (BRB) guards the interface with retinae (<xref ref-type="bibr" rid="B87">87</xref>), and the blood-cerebrospinal fluid barrier (BCSFB) isolates the brain from contact with the CSF (<xref ref-type="bibr" rid="B88">88</xref>). Despite such sophisticated defense mechanisms, the invasion of the CNS by pathogens can occur. The entry of various pathogens, including viruses, into the CNS can be facilitated <italic>via</italic> multiple different routes: such as transcellular (e.g. by receptor-mediated transport of the viral particle or by pinocytosis uptake without disruption of the cellular barriers), paracellular (e.g. by disrupting the tight-junctions of the BBB and increasing the permeability of the BBB), as intracellular cargo (the &#x201c;Trojan horse&#x201d; method when the viral particle present inside of a cell is allowed to enter the CNS by circumventing the BBB) (<xref ref-type="bibr" rid="B89">89</xref>). Transcellular entry occurs as a receptor-mediated uptake or pinocytosis, but the cellular barriers are not disrupted. A potential target of SARS-CoV-2 infection is the endothelium, especially brain microvascular endothelial cells (BMVECs), which form the BBB, among other cell types. After crossing the basement membrane of the lung epithelium, the virus reaches the blood vessel and then the BMVECs, to be transported <italic>via</italic> the cellular pathway by binding to ACE2 receptor or <italic>via</italic> an intercellular pathway across the BBB into the brain (<xref ref-type="bibr" rid="B90">90</xref>). Potential direct viral infection can occur by the biding of the SARS-CoV-2 to ACE2 receptor on the surface of BMVECs. Moreover, internalization can lead to the production of ROS and the increased secretion of proinflammatory cytokines as well as chemokines (i.e., CXCL10) that can be detected in serum (<xref ref-type="bibr" rid="B91">91</xref>). And a recent study suggested that the coronavirus S1 protein might be cleaved from the virus by the host cell&#x2019;s proteases and subsequently be available as a single infectious unit for crossing the BBB. The authors mention that this process could be executed <italic>via</italic> a mechanism similar to adsorptive transcytosis and uptake by peripheral tissue and be ACE2-independent. Once the protein enters the brain parenchyma, it might remain biologically highly active and toxic, and thus induce detrimental responses in the brain without the whole virions being involved (<xref ref-type="bibr" rid="B92">92</xref>). It should be added that this research was performed on mouse models and this mechanism could not be reproduced on a human induced pluripotent stem cell (iPSC)-based BBB <italic>in vitro</italic> model. Nevertheless, this result suggests an interesting avenue that deserves investigation.</p>
<p>Both inflammation and a potential cytokine storm induce the loosening of the TJ complex with alterations in the expression of TJ proteins such as in ZO-1, occludin, claudin-5 and VE-cadherin (<xref ref-type="bibr" rid="B93">93</xref>). Furthermore, cytoskeletal remodeling without a tight BBB leads to both vascular leakage and coagulation (<xref ref-type="bibr" rid="B57">57</xref>). The viral infection itself and inflammatory molecules bring about an enhanced permeability of the BBB (<xref ref-type="bibr" rid="B91">91</xref>). Through the compromised BBB, blood monocytes can infiltrate the CNS and produce a direct infection followed by the rapid activation of microglia among other glial cells (<xref ref-type="bibr" rid="B94">94</xref>). The balance- and type of cytokines and their cumulative effects at the BBB are complex and regulated by multiple signaling pathways and cell types. Next, the whole cascade results in a leaky and impaired BBB. Perrin and colleagues reported COVID-19 cases in which an elevated astroglia marker, S100B level was detected as a sign of increased BBB permeability (<xref ref-type="bibr" rid="B95">95</xref>). When an intense systemic inflammatory response occurs, more virus and peripheral cytokines such as IL-1&#x3b2;, IL-6, IL-17 and TNF-&#x3b1;, among others, can enter the brain <italic>via</italic> the damaged BBB. Hence, exacerbated, or triggered neuroinflammation by activating microglia, as the key cellular mediators of this process, may be developed and intensified by Th17 cells transmigration to the brain parenchyma and IL-17 upregulation, both caused by the augmentation of TNF-&#x3b1; (<xref ref-type="bibr" rid="B96">96</xref>). Together with the SARS-CoV-2 infection, the cascade promotes a cytokine storm that results in the increased secretion of pro-inflammatory factors (such as MIP1-&#x3b1;, IP-10, G-CSF, CRP and ferritin, among others) (<xref ref-type="bibr" rid="B97">97</xref>). Furthermore, the bond between cytokines/chemokines and their specific receptors on the cerebral microvascular endothelium provokes in addition to neuroinflammation, BBB breakdown and encephalitis (<xref ref-type="bibr" rid="B97">97</xref>).</p>
</sec>
<sec id="s3_2">
<title>Viral Invasion Through the Choroid Plexus</title>
<p>The choroid plexus is a single layer of epithelial cells located in the brain&#x2019;s ventricular system, and it produces cerebrospinal fluid. Neighboring cells of the choroid plexus are interconnected <italic>via</italic> TJs and form the BCSFB and contribute to the homeostatic regulation of the microenvironment in the brain (<xref ref-type="bibr" rid="B98">98</xref>). Recently, it has been found that certain cells of the choroid plexus express the ACE2 and other SARS-CoV-2 entry factors such as the TMPRSS2 (<xref ref-type="bibr" rid="B99">99</xref>). The same study using iPSC-derived brain organoids demonstrated that the infection of the choroid plexus cells by the SARS-CoV-2 causes substantial damage to the epithelium and a subsequent leakage across this important barrier. At the same time, the group did not observe infection of neuronal cells. These results overall suggest that the neurological symptoms observed in COVID-19 patients might be a secondary consequence of the infection of supportive CNS cells rather than the direct infection of neuronal cells (<xref ref-type="bibr" rid="B99">99</xref>). This hypothesis has yet to be confirmed experimentally, although it seems to be in line with the findings of a post-mortem study of the brains of 43 COVID-19 patients. The authors found no evidence of CNS damage caused directly by SARS-CoV-2 but found strong microglia and astrocyte activation and infiltration of cytotoxic T-lymphocytes (<xref ref-type="bibr" rid="B100">100</xref>), which might be a consequence of the disrupted brain barrier. On the other hand, a new study revealed the selective susceptibility of dopaminergic cells to SARS-CoV-2 infection and observed inflammatory and senescence on the transcriptional level (<xref ref-type="bibr" rid="B101">101</xref>), indicating that this issue among COVID-19 patients might require special attention.</p>
</sec>
<sec id="s3_3">
<title>Olfactory Pathway for Invasion of the CNS</title>
<p>Although the main route for the most viral infections of the lower airways is considered to be the oral-lung aspiration axis (<xref ref-type="bibr" rid="B102">102</xref>, <xref ref-type="bibr" rid="B103">103</xref>), research of the novel coronavirus SARS-CoV-2 suggests that in this case, the more prevalent entry is <italic>via</italic> the aspiration of oropharyngeal mucus originating from the nasal cavity and containing the viral inoculum, into the deep lung. Evidence supporting this hypothesis comes from the knowledge that the nasal lining has a higher concentration of the ACE2 receptor compared to the lower airways, creating a gradient of high susceptibility of infection in the nasal cavity to lower parts in the deep areas of the lung (<xref ref-type="bibr" rid="B104">104</xref>). Moreover, the autopsies of patients who died as a consequence of COVID-19 showed that the macroscopic appearance of the infected areas of the lungs was described as &#x201c;patchy, segmental and peripheral&#x201d; (<xref ref-type="bibr" rid="B104">104</xref>). If the nasal surface indeed serves as the dominant initial site for SARS-CoV-2 infection, the threat of spreading into the olfactory nerves should be considered. The olfactory nerve projects from the nasal cavity directly into the olfactory bulb of the brain, while in the mucosal part of the nasal cavity, ciliated dendrites of the nerve extend to the mucus-lined airway space. There they gather odorant information and transmit it <italic>via</italic> olfactory sensory neurons&#x2019; axons through the cribriform plate directly to the brain (<xref ref-type="bibr" rid="B105">105</xref>). In this way, the olfactory sensory neurons are constantly exposed to the environment &#x2013; including the potentially present pathogens (<xref ref-type="bibr" rid="B106">106</xref>); and hence serve as a direct single-cell route for neuroinvasion. Interestingly, the same study showed that despite the fact, that viruses can sometimes enter the CNS <italic>via</italic> the olfactory nerves and successfully enter the olfactory bulb of the brain while by-passing the protective barriers, another safety check is probably in operation in the olfactory bulb. In fact, after the infection of the olfactory bulb <italic>via</italic> the olfactory nerve, the infection was halted before it had the chance to spread to different CNS areas (<xref ref-type="bibr" rid="B106">106</xref>). To achieve such an inhibition of the spread of viral infection, the immune system needs to be ready to react in a way that neutralizes the viral particle yet does not damage the neurons. Such noncytolytic clearance is commonly facilitated by IFNs. INFs are cytokines primarily produced by lymphocytes (CD8<sup>+,</sup> CD4<sup>+</sup> and natural killer cells (NK)) and serve as the primary protective measure against viruses (<xref ref-type="bibr" rid="B107">107</xref>). In the study of Moseman et al. (<xref ref-type="bibr" rid="B106">106</xref>), after the neuroinvasion of the viral particles to the brain, the first line of defense was represented by microglia, which shortly after the infection showed evidence of activation. The activation of cells characterized by the up-regulation of antigen-presenting molecules MHC I, CD80 and CD86, enabled microglia to present viral antigens to infiltrating CD8<sup>+</sup> T cells. CD8<sup>+</sup> T cells subsequently exert antiviral pressure and stop the viral spread throughout the CNS. It is interesting that in this study, microglia were not infected by the virus in question (vesicular stomatitis virus), yet it was able to present the viral antigens to T cells. This means that microglia acquired the antigen from nearby neurons and cross-presented them to the T cells (<xref ref-type="bibr" rid="B106">106</xref>). The scenario of the olfactory nerve infection by SARS-CoV-2 seems to be plausible as it has been reported that in many cases, the patients developed progressive ageusia and anosmia (<xref ref-type="bibr" rid="B108">108</xref>). Interestingly, another recent study presented evidence of the olfactory transmucosal invasion of SARS-CoV-2 infected individuals&#x2019; brains. These findings are supported by the detection of SARS-CoV-2 RNA as well as viral protein in the brain regions. Moreover, the authors described morphological changes of the tissue associated with such an infection, collectively supporting the SARS-CoV-2 neurotropism and the viral spread along the neuroanatomical structures receiving projections from the olfactory tract (<xref ref-type="bibr" rid="B109">109</xref>).</p>
<p>To determine how exactly the SARS-CoV-2 virus enters the olfactory nerve and propagates through it into the CNS, the ACE2 expression levels in the olfactory nerve and the CNS need to be investigated. Regardless of the manner of entry, once the virus successfully infects the CNS <italic>via</italic> the olfactory nerve, further regions of the brain are involved, such as the piriform and infralimbic cortices, basal ganglia, and dorsal raphae nuclei, while other areas such as the thalamus and hypothalamus are less frequently reported as positive (<xref ref-type="bibr" rid="B110">110</xref>). Such a distribution pattern would suggest a transneuronal spread (<xref ref-type="bibr" rid="B111">111</xref>). Despite these findings, the clear-cut neuro-invasive potential of SARS-CoV-2 is still yet to be determined, as some research also indicates that only epithelial (sustentacular) cells of the nasal mucosa can be infected, not olfactory neurons (<xref ref-type="bibr" rid="B112">112</xref>).</p>
</sec>
</sec>
<sec id="s4">
<title>The Impact of SARS-CoV-2 on Microglia</title>
<sec id="s4_1">
<title>Gene Expression Modifications <italic>via</italic> HIF-1&#x3b1;</title>
<p>The family of HIF proteins is transcription regulators that respond to the prevalent oxygen levels and modify the gene transcription rates of specific DNA sequences. HIF-1 is a dimer that consists of HIF-1&#x3b1; and HIF-1&#x3b2; subunits. While HIF-1&#x3b1; is present at very low levels during normoxia, HIF-1&#x3b2; is continuously transcribed. In normoxic conditions, HIF-1&#x3b1; is hydroxylated in the presence of iron, oxygen, and 2-oxoglutarate, then HIF-1&#x3b1; undergoes ubiquitination and is destroyed (<xref ref-type="fig" rid="f5"><bold>Figure 5</bold></xref>) (<xref ref-type="bibr" rid="B113">113</xref>). However, in hypoxemic conditions, the oxygen required for HIF-1&#x3b1; ubiquitination is lacking. Therefore, HIF-1&#x3b1; does not degrade, but translocates to the nucleus, where it binds with HIF-1&#x3b2;, then recruits coactivator proteins at the hypoxia response element. Numerous target genes that assist in hypoxic adaptation are upregulated, such as VEGF, which induces angiogenesis, or erythropoietin, which generates more erythrocytes (<xref ref-type="bibr" rid="B114">114</xref>). However, some genes are downregulated (e.g., PDK1), and this reduces the oxygen consumption of the mitochondria. The regulation of genes that boost glucose flux to pyruvate causes a switch from oxidative to glycolytic cellular metabolism (<xref ref-type="bibr" rid="B115">115</xref>). Furthermore, through endothelial nitric oxide synthase modulation, HIF-1&#x3b1; can also affect pulmonary circulation (<xref ref-type="bibr" rid="B116">116</xref>).</p>
<fig id="f5" position="float">
<label>Figure 5</label>
<caption>
<p>Overview of the effects of hypoxia on microglia cells compared to normal oxygen levels. HIF-1&#x3b1; is one of the main components of the response to hypoxia in myeloid cells. Under normoxic conditions, the oxygen molecules participate in the HIF-1&#x3b1; hydroxylation, ubiquitination and subsequent degradation by the proteasome complex. In hypoxia, the lack of oxygen molecules prevents ubiquitination and degradation of HIF-1&#x3b1;, which can then translocate to the nucleus and, together with other co-activating elements, initiate the expression of pro-inflammatory molecules. At the same time, HIF-1&#x3b1; activation might involve crosstalk with NF-&#x3ba;B, NLRP3 inflammasome, as well as nitric oxide (NO) production along with pro-inflammatory cytokines.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-12-730088-g005.tif"/>
</fig>
<p>The interaction between HIF-1&#x3b1; and glucose levels is particularly important, as glycolytic flux is required for SARS-CoV-2 replication since high glucose levels promote viral replication and pro-inflammatory cytokine expression (<xref ref-type="bibr" rid="B117">117</xref>). Moreover, ROS are potent inducers of HIF-1&#x3b1; (<xref ref-type="bibr" rid="B118">118</xref>). The mitochondrial ROS (mtROS) production caused by SARS-CoV-2 stabilizes HIF-1&#x3b1;, which then upregulates IL-1&#x3b2; expression as well as glycolytic genes. These findings explain why uncontrolled diabetes can lead to lung dysfunction and a maladaptive immune response in patients with severe COVID-19 symptoms. They also suggest that the mtROS/HIF-1&#x3b1;/glycolysis axis could be a target for treating this disease (<xref ref-type="bibr" rid="B117">117</xref>).</p>
</sec>
<sec id="s4_2">
<title>Hypoxic State and HIF-1&#x3b1; Expression</title>
<p>Hypoxia plays a central role in endothelial activation and inflammation, and it creates a positive feedback loop <italic>via</italic> the reduction of the expression of the complement regulator CD55 by HIF-1&#x3b1;, IL-2, and TNF-&#x3b1; (<xref ref-type="bibr" rid="B119">119</xref>). In hypoxic and inflammatory microenvironments, HIF-1&#x3b1; is a key driver of myeloid cell response: (I) It modifies cellular energetics, (II) it upregulates glycolytic enzymes and glucose transporters to allow ATP generation under hypoxic conditions, and (III) it prevents the apoptosis of innate immune cells. In chronic infections, however, HIF-1&#x3b1; prevented excessive lymphocyte recruitment into lung interstitium and pathological immune consequences of the host (<xref ref-type="bibr" rid="B120">120</xref>). During the infection of SARS-CoV-2, the infected monocytes express higher levels of pro-inflammatory cytokines and multiple forms of IFN, such as IFN-&#x3b1;, &#x3b2; and &#x3b3; (<xref ref-type="bibr" rid="B121">121</xref>). The presence of TNF-&#x3b1;, IL-1&#x3b2;, IL-6, and HIF-1&#x3b1; are associated with the COVID-19 cytokine storm. Dysregulated blood glucose levels in diabetic patients are a substantial risk factor for the severity of the disease. At the same time, elevated glucose levels might further augment TNF-&#x3b1;, IL-6, and IFN-&#x3b1;/&#x3b2; expression and initiate a vicious cycle of immune hyperactivity (<xref ref-type="bibr" rid="B121">121</xref>).</p>
</sec>
<sec id="s4_3">
<title>Hypoxic and Normoxic Conditions</title>
<p>In patients with COVID-19, pneumonia and vascular permeability are related to the elevated thrombosis (<xref ref-type="bibr" rid="B119">119</xref>), which is stimulated by a hypoxic state in which the hypercoagulability is increased along with HIF-1&#x3b1; expression (<xref ref-type="bibr" rid="B122">122</xref>). Cells adapt to it by activating HIF-1 and HIF-2, which promote the expression of a wide array of genes involved in cell survival and specifically endothelial cell adaptation and energy metabolism. A transition from HIF-1 to HIF-2 suggests an adaptation from acute to prolonged hypoxia, although most genes can be regulated by both (<xref ref-type="bibr" rid="B123">123</xref>). HIF-1&#x3b1; has a short cytosolic half-life in normoxic conditions, low basal levels, and a high turnover, while in hypoxemic conditions, it is conserved (<xref ref-type="bibr" rid="B113">113</xref>). The cytosolic accumulation of succinate also prevents HIF-1&#x3b1; breakdown (<xref ref-type="bibr" rid="B124">124</xref>).</p>
<p>Besides being a coactivator of HIF-1&#x3b1;, pyruvate kinase isozyme 2 (PKM2) plays a key role in glycolysis and mediates acute inflammation (<xref ref-type="bibr" rid="B125">125</xref>). PKM2 dimers can directly interact with HIF-1&#x3b1; <italic>via</italic> nuclear translocation (<xref ref-type="bibr" rid="B125">125</xref>, <xref ref-type="bibr" rid="B126">126</xref>). In the nucleus, HIF-1&#x3b1; regulates the adaptor response to hypoxia (<xref ref-type="bibr" rid="B125">125</xref>), transcribes pro-inflammatory cytokines and glycolytic machinery (<xref ref-type="bibr" rid="B124">124</xref>), especially IL- 1&#x3b2;, a key factor involved in acute and chronic inflammation and generation of fever response, and IL-6. This pro-inflammatory shift is accompanied by the downregulation of anti-inflammatory cytokines such as IL-10 (<xref ref-type="bibr" rid="B126">126</xref>). This condition is distinguished by excessive neutrophil-predominant inflammation and by disrupting the alveolar-capillary barrier that causes acute hypoxemic respiratory failure (<xref ref-type="bibr" rid="B127">127</xref>, <xref ref-type="bibr" rid="B128">128</xref>).</p>
<p>The HIF-1 signaling pathway can interact with ErbB, PI3K-Akt, mTOR pathways and their connected proteins (<xref ref-type="bibr" rid="B129">129</xref>). <italic>Via</italic> a cascade: PI3K activation phosphorylates Akt, which activates mTOR. It is followed by the activation of 4E-BP1 and the eIF4 complex by Akt and mTORC1, which causes a translation of HIF-1&#x3b1;, an effector protein that initiates transcription and translation of host-specific genes (<xref ref-type="bibr" rid="B129">129</xref>, <xref ref-type="bibr" rid="B130">130</xref>). The TNF signaling pathway is interlinked with HIF-1 signaling; hence, it can also increase HIF-1&#x3b1; by activating PI3K-Akt, MAPK, and NF-&#x3ba;B pathways and lead to the overexpression of HIF-1&#x3b1; mRNA translation and protein synthesis, but not affect its stability (<xref ref-type="bibr" rid="B131">131</xref>).</p>
</sec>
<sec id="s4_4">
<title>Microglia in Health and Disease</title>
<p>Microglia are the resident innate immune system cells in the brain and the first responders to damage of the CNS (<xref ref-type="bibr" rid="B132">132</xref>&#x2013;<xref ref-type="bibr" rid="B135">135</xref>). Besides the maintenance of neuronal homeostasis and participating in the formation of the BBB (<xref ref-type="bibr" rid="B136">136</xref>), microglia perform critical physiological functions such as synaptic pruning (<xref ref-type="bibr" rid="B137">137</xref>), trophic support of the neurons, the removal of apoptotic debris (<xref ref-type="bibr" rid="B138">138</xref>), and continuous immune surveillance (<xref ref-type="bibr" rid="B139">139</xref>&#x2013;<xref ref-type="bibr" rid="B141">141</xref>). Whenever the brain&#x2019;s homeostasis is compromised, microglia can rapidly adapt their phenotype and functions in response to the signals from their environment, such as cellular damage or the infiltration of foreign entities (<xref ref-type="bibr" rid="B142">142</xref>). Depending on the nature of the activating signal, microglia change their phenotype into the phagocytic or cytokine-producing state. Often, this duality of activation states is referred to as M1 (IFN-&#x3b3;-dependent classical activation; pro-inflammatory activation) and M2 (IL-4-dependent alternative activation; repair-inducing/phagocytic) activation states (<xref ref-type="bibr" rid="B143">143</xref>), during which microglia undergo morphological and metabolic changes in order to efficiently remove the detected threat (<xref ref-type="bibr" rid="B143">143</xref>). Although the long-standing notion of microglial cells having M1/M2 activation states is widely accepted (<xref ref-type="bibr" rid="B144">144</xref>), a growing body of research indicates that this model might be oversimplistic considering the complexity of microglial effector roles in both health and disease (<xref ref-type="bibr" rid="B145">145</xref>). However, as the M1/M2 model is in use within the context of microglial responses to the presence of pathogens, we will adhere to this nomenclature in the review.</p>
<p>At the time of homeostasis, the quiescent state of microglia is maintained mainly <italic>via</italic> the absence of activating factors, and it is supported by pacifying signals originating from neuronal and astroglial cells (e.g. CX3CL1 and CD200) (<xref ref-type="bibr" rid="B146">146</xref>). However, in the presence of an activating signal (e.g. a recognized bacterial or viral particle), microglia rapidly switch from the homeostatic stage with ramified morphology to the classically activated (M1) form. An outcome of an M1 polarizing event is the production of M1-associated factors such as pro-inflammatory cytokines: TNF-&#x3b1;, IL-1&#x3b1;, IL-1&#x3b2;, IL-6, IL-12, IL-23; chemokines; REDOX molecules and other co-stimulatory proteins while phagocytosis is inhibited during M1 activation (<xref ref-type="bibr" rid="B144">144</xref>). However, in the case of detection of cellular damage, sterile injury or neurodegenerative disease, M2 activation occurs, and the activation pattern includes events that lead to inflammation resolution through anti-inflammatory factors (TGF-&#x3b2;, IL-10, IL-13, VEGF, EGF and Arg1) in an attempt to re-establish homeostasis (<xref ref-type="bibr" rid="B147">147</xref>). One of the results of M2 activation is the transformation of the cells into the amoeboid type and the activation of phagocytosis, which attempts to remove cellular debris and recover tissue equilibrium (<xref ref-type="bibr" rid="B143">143</xref>).</p>
</sec>
<sec id="s4_5">
<title>Inflammation in Viral Infection</title>
<p>As an innate immune response for viral infection in the CNS, microglial cells transit towards a proinflammatory M1 state and rapidly proliferate, leading to enhanced phagocytic activity of microglia (<xref ref-type="bibr" rid="B148">148</xref>). During the rapid division of microglial cells, the so-called Warburg effect occurs, in which the ATP is rapidly generated by the enhanced glycolytic energy pathway. This metabolic adaptation is an essential component for the polarization of microglia besides the increased production of cytokines such as IL-6 and TNF-&#x3b1; (<xref ref-type="bibr" rid="B148">148</xref>). When microglia polarizing to the M1 state during viral infection, the cells are likely to be exposed to hypoxic environments, which also activates HIF-1&#x3b1; expression (<xref ref-type="bibr" rid="B148">148</xref>). IFN-&#x3b1;/&#x3b2; genes play a pivotal role in the potent immune response against viral infections (<xref ref-type="bibr" rid="B149">149</xref>). Due to the interaction between the INF-&#x3b1;/&#x3b2; signaling and the IFN-&#x3b3; pathway, microglia may become more responsive to the virus by its INF-&#x3b3; antiviral program (<xref ref-type="bibr" rid="B150">150</xref>). Furthermore, the results of Zhou et al. clearly show that IFN priming prior to tissue cell infection with SARS-CoV results in the augmented expression of several molecules involved in the induction and upregulation of signaling pathways of IFN-&#x3b2;, among other factors (<xref ref-type="bibr" rid="B151">151</xref>).</p>
<p>Although astrocytes are the main source of IFN-&#x3b1;/&#x3b2; in mice (<xref ref-type="bibr" rid="B152">152</xref>), in the case of direct viral encephalitis, infected microglia also contribute to IFN-I production, which is dependent on signaling <italic>via</italic> the IFN-&#x3b1;/&#x3b2; receptor in an MDA-5 dependent pathway (<xref ref-type="bibr" rid="B153">153</xref>). Besides the IFN family, the critical role of IL-10 was found during an emerging inflammation caused by a viral infection. CD4<sup>+</sup> cells are the pivotal source of IL-10, which cytokine blocks the production of IFN-&#x3b3; of CD4<sup>+</sup> lymphocytes. In the absence of IL-10, higher levels of INF-&#x3b3; mRNA and protein were produced by CD4<sup>+</sup> cells without alterations in the functions of CD8<sup>+</sup> lymphocytes. In coronavirus infections, not only high numbers of microglia expressed iNOS and MHC-II, but the viral clearance was also more rapid in lesions of IL-10 deficient mice (<xref ref-type="bibr" rid="B154">154</xref>). Overall, in viral infections, the absence of IL-10 results in demyelination and cell death, while the presence of IL-10 protects against tissue damage.</p>
<p>Along with the above-mentioned processes, the inflammatory stimulus in COVID-19 can also be initiated by the cascade of a viral infection that can, in turn, activate the lung macrophages and affect the neutrophil influx; and this indirectly leads to NLRP3 inflammasome activation (<xref ref-type="bibr" rid="B155">155</xref>). NLRP3 inflammasome is crucial for the induction of acute lung injury when IL-1&#x3b2; signaling is induced by hypoxia. Similar to hypoxic alveolar macrophages in the lungs, microglia in the brain are the primary source of IL-1&#x3b2; (<xref ref-type="bibr" rid="B152">152</xref>). A higher level of another cytokine, IL-6, was observed in parallel with the downregulation of microglial functions in the case of hypoxia. Here, the pathological driver is the existent IL-6-mediated cytokine storm, which appears within two days, leading to neurotoxicity in less than a week (<xref ref-type="bibr" rid="B156">156</xref>). While astrocytes are the source of IL-6, an increased hypothalamic IL-6 level was observed along with microglia activation caused by lung infection (<xref ref-type="bibr" rid="B157">157</xref>). In contrast, a blockade of microglia in a hypoxic state led to induced astrocytic IL-6 production. A specific therapeutic blockade of circulating IL-6 can be achieved using tocilizumab or siltuximab, but the efficiency of such treatment is relatively low (<xref ref-type="bibr" rid="B158">158</xref>).</p>
</sec>
<sec id="s4_6">
<title>The Role of Self Molecules in Microglia Activation</title>
<p>In general, when cells are injured, the normally intracellular molecules, such as ATP, appear in the extracellular space and serve as a danger-associated molecule pattern (DAMP), which is recognized by the PRRs of the macrophages (<xref ref-type="bibr" rid="B157">157</xref>). Therefore, this inflammatory cascade can be initiated by the activation of macrophages by upregulated cytosolic PRR signaling pathways in response to the tissue damage caused by SARS-CoV-2. Through the blood circulation, having released into the brain parenchyma, DAMPs and SARS-CoV-2-derived PAMPs can reactivate microglia. The activation of PRRs on microglia initiates the antiviral cascade <italic>via</italic> e.g.: the NF-&#x3ba;B (<xref ref-type="bibr" rid="B158">158</xref>). The production of IFN-I and -III promotes intracellular antiviral defense and the production and release of microglia and macrophage-dependent IL-1&#x3b2; and IL-6, are the primary response to viral infection (<xref ref-type="bibr" rid="B157">157</xref>). However, like M protein or N protein in the SARS-CoV, in SARS-CoV-2 these viral proteins can block the formation of the TRAF3, TANK and TBK1/IKK complex (<xref ref-type="bibr" rid="B159">159</xref>); and thereby inhibit the production of IFN-I, which happens in the case of dendritic cells (<xref ref-type="bibr" rid="B160">160</xref>). Additionally, elevated levels of IL-12, p40, TNF-&#x3b1;, IL-15, IL-6, and IL-1&#x3b2;, on both mRNA and protein levels, were observed in a neuron culture infected by a murine neurotrophic &#x3b2; Coronavirus then both in non-neurotrophic virus, MHV-2 infected cells and in the uninfected control cultures (<xref ref-type="bibr" rid="B161">161</xref>). Overall, microglia may contribute to viral control and nervous tissue damage in response to SARS-CoV-2 CNS infection (<xref ref-type="bibr" rid="B158">158</xref>, <xref ref-type="bibr" rid="B159">159</xref>, <xref ref-type="bibr" rid="B162">162</xref>); and thereby inhibit the production of IFN-I, which happens in the case of dendritic cells (<xref ref-type="bibr" rid="B160">160</xref>). Additionally, elevated levels of IL-12, p40, TNF-&#x3b1;, IL-15, IL-6, and IL-1&#x3b2;, on both mRNA and protein levels, were observed in a neuron culture infected by a murine neurotrophic &#x3b2; Coronavirus then both in non-neurotrophic virus, MHV-2 infected cells and in the uninfected control cultures (<xref ref-type="bibr" rid="B161">161</xref>). Supporting the idea, the quantities of cytokines are positively correlated with the viral titer, and the cytokine levels are high in the absence of microglia (<xref ref-type="bibr" rid="B153">153</xref>).</p>
</sec>
</sec>
<sec id="s5">
<title>Conclusion</title>
<p>In this review, we have systematically described and analyzed the existing information on possible connections between infection-induced pulmonary events and neurological symptoms. Our analyses might encourage researchers to find early biomarkers and targeted therapeutic approaches to inhibit and/or block the development of neurologic symptoms.</p>
<p>The reported neurological problems in COVID-19 patients might come from the overstimulation of the immune system, and it is presumed that there is a strong involvement of microglia and possibly astroglia in response to peripheral inflammation rather than direct viral infection of the CNS (<xref ref-type="bibr" rid="B163">163</xref>). The described events could lead to an interplay between the lung and the brain in the case of SARS-CoV-2 infection, which is based on the fact that the hypoxia and systemic oxidative stress couple the disrupted respiratory epithelium to brain damage. It is known that during COVID-19 infection, there is an increased production of cytokines and chemokines in the periphery, especially in the lung macrophages and in bronchial epithelial cells. When hypoxia occurs owing to difficulties in breathing, a significant amount of proinflammatory factors is released due to the activation of HIF-1&#x3b1;. Certainly, in cases of prolonged and substantial elevation of cytokines in the blood, these can cross the BBB and activate microglia. Similarly, in the case of hypoxia, the lack of oxygen is inevitably sensed by the brain microglia, and this leads to its activation. In a healthy brain, this kind of activation might induce neuroinflammation and potentially lead to neuropsychiatric or neurodegenerative disorders. More severe effects of hypoxia are expected in those patients with pre-existing neurodegenerative diseases, including those which are pre-symptomatic and thus have not yet been diagnosed. In a relevant scenario for Alzheimer&#x2019;s disease, it has been shown that hypoxia is a major risk factor. Specifically, HIF-1&#x3b1; upregulation in hippocampal microglia leads to reduced A&#x3b2; elimination by microglia and hence to increased A&#x3b2;-associated neuropathology (<xref ref-type="bibr" rid="B164">164</xref>). Knowing that both hypoxia and increased levels of systemic cytokine levels are very likely to cause some degree of damage to the brain, this possibility should not be overlooked and need to be investigated in the future.</p>
<p>Although the predominant clinical symptoms of COVID-19 are pulmonary issues with respiratory manifestations, neurological symptoms are increasingly noted. The loss of smell and taste was reported among the first non-respiratory symptoms, and many people reported otolaryngologic symptoms, headaches, fatigue, and a state called &#x201c;brain fog&#x201d; &#x2013; a condition where patients had trouble thinking clearly (<xref ref-type="bibr" rid="B165">165</xref>). All these symptoms suggest possible effects of SARS-CoV-2 on the CNS. Several research groups examined the potential of viral particles of SARS-CoV-2 to invade the CNS tissue, and also the presence of the virus was confirmed in cerebrospinal fluid taken from an encephalitis patient by next-generation sequencing (<xref ref-type="bibr" rid="B24">24</xref>) as well as the presence of CSF-specific anti&#x2212;SARS&#x2212;CoV&#x2212;2 antibodies (<xref ref-type="bibr" rid="B67">67</xref>). Furthermore, recently in human 3D organoids, it was shown that SARS-CoV-2 is indeed able to infect and kill neurons (<xref ref-type="bibr" rid="B166">166</xref>). A preprint publication by Chen et al. (<xref ref-type="bibr" rid="B101">101</xref>), claims that human pluripotent stem cell-derived midbrain dopamine neurons are selectively permissive to SARS-CoV-2 infection, with potential long-term implications for the risk of developing Parkinson&#x2019;s disease-related symptoms. Nevertheless, despite finding further proofs of SARS-CoV-2 protein expression in the brains of the deceased COVID-19 patients, so far, it was not successfully proven that the presence of the virus is directly associated with the neuropathological changes (<xref ref-type="bibr" rid="B100">100</xref>). It is important to mention that the study of Song et al. (<xref ref-type="bibr" rid="B67">67</xref>) show evidence of the existence of antineuronal autoantibodies that were detectable specifically in COVID-19 patients, while the exact pathogenic relevance of these is yet to be discovered. In the meantime, these autoantibodies could be considered as one of the possible indirect source/contributors to COVID&#x2212;19 related neuropathology. Presence of such autoantibodies is quite similar to prothrombotic autoantibodies causing occlusion of blood vessels identified recently in Covid-19 patients (<xref ref-type="bibr" rid="B75">75</xref>). Moreover, the same study hypothesizes about the similarities between severe COVID&#x2212;19 phenotypes and those present in patients with lupus and antiphospholipid syndrome, both of which are typical for the presence of anti-phospholipid autoantibodies, and in extremely severe cases, can cause multiple organ failure (<xref ref-type="bibr" rid="B75">75</xref>). Additionally, a growing number of case reports describing a connection between SARS&#x2212;CoV&#x2212;2 and the Guillain-Barr&#xe9; syndrome (GBS) has emerged recently (<xref ref-type="bibr" rid="B167">167</xref>&#x2013;<xref ref-type="bibr" rid="B171">171</xref>). GBS is a state of acute limb paralysis caused typically by an antecedent infectious disease (often a gastrointestinal or respiratory infection) or other immune stimulation that induces an aberrant autoimmune response that targets peripheral nerves and leads to weakness and loss of sensation (<xref ref-type="bibr" rid="B172">172</xref>, <xref ref-type="bibr" rid="B173">173</xref>). The reported cases of COVID&#x2212;19-associated GBS highlight the similarities with cytomegalovirus, Zika virus, and HIV-associated GBS, and thus also suggest a neuroinvasive potential of SARS&#x2212;CoV&#x2212;2 (<xref ref-type="bibr" rid="B170">170</xref>). At the same time, these findings further underline the importance of immune modulation and autoimmune processes in SARS&#x2212;CoV&#x2212;2 infected patients. Therefore, it is very likely that together with other pathological events occurring during COVID&#x2212;19 illness, detrimental autoimmune effects could contribute to the overall disease progress.</p>
<p>A small Swedish clinical trial demonstrated that CSF of COVID-19 patients with neurological symptoms showed an elevated neurofilament light chain protein (NfL) level that resembles axon injury. Furthermore, the elevated NfL level in the CSF correlated with the seriousness of the neurological symptoms (Glasgow Coma Scale) and was higher in patients between serious and critical disease as compared with mild and moderate disease (<xref ref-type="bibr" rid="B174">174</xref>). Based on this, wider clinical trials are much needed to find reliable biomarkers for CNS injury to support the early rehabilitation of COVID-19 patients and to avoid the development of long-COVID. It is currently too early to tell what exactly the long-term effects of COVID-19 on patients&#x2019; mental health will be. With so many infected people worldwide, the overall number of patients with neurological complications might grow, and this could induce substantial social and economic costs (<xref ref-type="bibr" rid="B175">175</xref>). Moreover, even though the proportion of acute infections with neurological symptoms remains relatively small, neurological complications can lead to lifelong problems. Furthermore, in the cases of patients from the intensive care unit, it had been pointed out that several cases of brain injury could have escaped the attention due to patients being in a state of induced coma, and specific neurological examinations such as imaging were often undertaken only in those people that were slow to wake (<xref ref-type="bibr" rid="B83">83</xref>). At the same time, it should be kept in mind that many cases of COVID-related chronic neurological symptoms might not have been reported yet. Considering the global healthcare crisis caused by prioritizing COVID-19 patients with acute and life-threatening conditions, perhaps only after this crisis other COVID-related chronic complications will emerge. Therefore, it is of major importance to provide follow-up studies to determine the long-term neurological effects of this disease. Additionally, it has been observed that the course and the pathological consequences of COVID&#x2212;19 might differ from patient to patient, future studies on the pathobiological mechanisms and contributing factors will be essential. For example, it would be important to describe the associated risk factors (including those of genetic origin), that can possibly contribute to the different disease outcomes in individual patients. Next, identification of biomarkers that help distinguish between direct viral infection of the brain and immune overactivation would be essential for the selection of proper treatment. Altogether, such knowledge would provide leverage in early recognition and short and long-term management of the disease and perhaps open new opportunities for personalized medicine based on the individual background and risk factors of each patient.</p>
</sec>
<sec id="s6">
<title>Author Contributions</title>
<p>LF and AK wrote the original draft. GC contributed to writing of the paper. LF prepared the figures. KF supervised the conceptualization and writing. KG and AD reviewed and edited the final version of the manuscript. All authors contributed to the article and approved the submitted version.</p>
</sec>
<sec id="s7" sec-type="funding-information">
<title>Funding</title>
<p>This project has received funding from the European Union&#x2019;s Horizon 2020 Research and Innovation Programme under the Marie Sk&#x142;odowska-Curie Grant Agreement No. 766124 (PurinesDx) and grant agreements No. 739593 (HCEMM) and No. 814978 (TUBE). Further financial support was granted by the New National Excellence Programme (20391-3/2018/FEKUSTRAT) and the TKP2020 T&#xe9;mater&#xfc;leti Kiv&#xe1;l&#xf3;s&#xe1;gi Program (NKFIH-1279-2/2020) by the National Research, Development and Innovation Office, Hungary and the Doctoral Student Scholarship Program of the Co-operative Doctoral Program of the Ministry of Innovation and Technology financed from the National Research, Development and Innovation Fund (Grants No. 994735 and 973877 for AK and GC, respectively).</p>
</sec>
<sec id="s8" sec-type="COI-statement">
<title>Conflict of Interest</title>
<p>LF, AK, GC, AD, and KF are employed by BioTalentum Ltd. The remaining author declares that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="s9" sec-type="disclaimer">
<title>Publisher&#x2019;s Note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
</body>
<back>
<ack>
<title>Acknowledgments</title>
<p>We would like to thank Dr. David P. Curley for the linguistic correction of the manuscript.</p>
</ack>
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<glossary>
<title>Glossary</title>
<table-wrap position="anchor">
<table frame="hsides">
<tbody>
<tr>
<td valign="top" align="left">ACE2</td>
<td valign="top" align="left">Angiotensin-converting enzyme 2</td>
</tr>
<tr>
<td valign="top" align="left">ADAM17</td>
<td valign="top" align="left">A Disintegrin And Metalloprotease 17</td>
</tr>
<tr>
<td valign="top" align="left">Ang II</td>
<td valign="top" align="left">Angiotensin II</td>
</tr>
<tr>
<td valign="top" align="left">Arg1</td>
<td valign="top" align="left">Arginase 1</td>
</tr>
<tr>
<td valign="top" align="left">BBB</td>
<td valign="top" align="left">Blood-brain barrier</td>
</tr>
<tr>
<td valign="top" align="left">BCSFB</td>
<td valign="top" align="left">Blood-cerebrospinal fluid barrier</td>
</tr>
<tr>
<td valign="top" align="left">BMVEC</td>
<td valign="top" align="left">Brain microvascular endothelial cells</td>
</tr>
<tr>
<td valign="top" align="left">BRB</td>
<td valign="top" align="left">Blood-retina barrier</td>
</tr>
<tr>
<td valign="top" align="left">CCL2/3</td>
<td valign="top" align="left">C&#x2013;C motif chemokine ligand 2/3</td>
</tr>
<tr>
<td valign="top" align="left">CD</td>
<td valign="top" align="left">Cluster of differentiation</td>
</tr>
<tr>
<td valign="top" align="left">CD4+/CD8+</td>
<td valign="top" align="left">Cluster of differentiation 4/8</td>
</tr>
<tr>
<td valign="top" align="left">CNS</td>
<td valign="top" align="left">Central nervous system</td>
</tr>
<tr>
<td valign="top" align="left">COVID-19</td>
<td valign="top" align="left">Coronavirus disease 2019</td>
</tr>
<tr>
<td valign="top" align="left">CRP</td>
<td valign="top" align="left">C-reactive protein</td>
</tr>
<tr>
<td valign="top" align="left">CSF</td>
<td valign="top" align="left">Cerebrospinal fluid</td>
</tr>
<tr>
<td valign="top" align="left">CSF1R</td>
<td valign="top" align="left">Colony stimulating factor 1 receptor</td>
</tr>
<tr>
<td valign="top" align="left">CX3CL1</td>
<td valign="top" align="left">Chemokine (C-X3-C motif) ligand 1</td>
</tr>
<tr>
<td valign="top" align="left">CXCL10</td>
<td valign="top" align="left">Chemokine (C-X-C motif) ligand 10</td>
</tr>
<tr>
<td valign="top" align="left">DAMP</td>
<td valign="top" align="left">Damage-associated molecular pattern</td>
</tr>
<tr>
<td valign="top" align="left">DNA</td>
<td valign="top" align="left">Deoxyribonucleic acid</td>
</tr>
<tr>
<td valign="top" align="left">EGF</td>
<td valign="top" align="left">Epidermal growth factor</td>
</tr>
<tr>
<td valign="top" align="left">ErbB</td>
<td valign="top" align="left">Epidermal growth factor receptor family</td>
</tr>
<tr>
<td valign="top" align="left">GBS</td>
<td valign="top" align="left">Guillain-Barr&#xe9; syndrome</td>
</tr>
<tr>
<td valign="top" align="left">GCSF</td>
<td valign="top" align="left">Granulocyte colony-stimulating factor</td>
</tr>
<tr>
<td valign="top" align="left">HCoV</td>
<td valign="top" align="left">Human coronavirus</td>
</tr>
<tr>
<td valign="top" align="left">HIF-1&#x3b1;</td>
<td valign="top" align="left">Hypoxia-inducible factor 1-alpha</td>
</tr>
<tr>
<td valign="top" align="left">IFIT2</td>
<td valign="top" align="left">Interferon-induced protein with tetratricopeptide repeats 2</td>
</tr>
<tr>
<td valign="top" align="left">IFN</td>
<td valign="top" align="left">Interferon</td>
</tr>
<tr>
<td valign="top" align="left">IgG</td>
<td valign="top" align="left">Immunoglobulin G</td>
</tr>
<tr>
<td valign="top" align="left">IL</td>
<td valign="top" align="left">Interleukin</td>
</tr>
<tr>
<td valign="top" align="left">iNOS</td>
<td valign="top" align="left">Inducible nitric oxide synthase</td>
</tr>
<tr>
<td valign="top" align="left">IP-10</td>
<td valign="top" align="left">Interferon gamma-induced protein 10</td>
</tr>
<tr>
<td valign="top" align="left">iPSC</td>
<td valign="top" align="left">Induced pluripotent stem cell</td>
</tr>
<tr>
<td valign="top" align="left">IRF3/7</td>
<td valign="top" align="left">Interferon regulatory factor 3/7</td>
</tr>
<tr>
<td valign="top" align="left">JAK/STAT</td>
<td valign="top" align="left">Janus kinase/Signal transducer and activator of transcription protein</td>
</tr>
<tr>
<td valign="top" align="left">JMHV</td>
<td valign="top" align="left">Japanese monkey herpesvirus</td>
</tr>
<tr>
<td valign="top" align="left">LDH</td>
<td valign="top" align="left">Lactate dehydrogenase</td>
</tr>
<tr>
<td valign="top" align="left">M protein</td>
<td valign="top" align="left">Myeloma protein</td>
</tr>
<tr>
<td valign="top" align="left">MAPK</td>
<td valign="top" align="left">Mitogen-activated protein kinase</td>
</tr>
<tr>
<td valign="top" align="left">MAVS</td>
<td valign="top" align="left">Mitochondrial antiviral signaling</td>
</tr>
<tr>
<td valign="top" align="left">MCP-1</td>
<td valign="top" align="left">Monocyte chemoattractant protein-1</td>
</tr>
<tr>
<td valign="top" align="left">MDA5</td>
<td valign="top" align="left">Melanoma differentiation-associated gene 5</td>
</tr>
<tr>
<td valign="top" align="left">MERS-CoV</td>
<td valign="top" align="left">Middle East respiratory syndrome coronavirus</td>
</tr>
<tr>
<td valign="top" align="left">MHC I/II</td>
<td valign="top" align="left">Major histocompatibility complex I/II</td>
</tr>
<tr>
<td valign="top" align="left">MHV</td>
<td valign="top" align="left">Mouse hepatitis virus</td>
</tr>
<tr>
<td valign="top" align="left">MIP1-&#x3b1;</td>
<td valign="top" align="left">Macrophage Inflammatory Protein 1-&#x3b1;</td>
</tr>
<tr>
<td valign="top" align="left">mTOR</td>
<td valign="top" align="left">Mechanistic target of rapamycin</td>
</tr>
<tr>
<td valign="top" align="left">mtROS</td>
<td valign="top" align="left">Mitochondrial reactive oxygen species</td>
</tr>
<tr>
<td valign="top" align="left">N protein</td>
<td valign="top" align="left">Nucleocapsid protein</td>
</tr>
<tr>
<td valign="top" align="left">NfL</td>
<td valign="top" align="left">Neurofilament light</td>
</tr>
<tr>
<td valign="top" align="left">NF-&#x3ba;B</td>
<td valign="top" align="left">Nuclear factor-kappa B</td>
</tr>
<tr>
<td valign="top" align="left">NK cells</td>
<td valign="top" align="left">Natural killer cells</td>
</tr>
<tr>
<td valign="top" align="left">NLRP3</td>
<td valign="top" align="left">NLR family pyrin domain containing 3</td>
</tr>
<tr>
<td valign="top" align="left">ORFs</td>
<td valign="top" align="left">Open reading frames</td>
</tr>
<tr>
<td valign="top" align="left">p40</td>
<td valign="top" align="left">P40 Protein</td>
</tr>
<tr>
<td valign="top" align="left">PAMP</td>
<td valign="top" align="left">Pathogen-associated molecular pattern</td>
</tr>
<tr>
<td valign="top" align="left">PDK1</td>
<td valign="top" align="left">Phosphoinositide-dependent kinase-1</td>
</tr>
<tr>
<td valign="top" align="left">PI3K-Akt</td>
<td valign="top" align="left">Phosphoinositide 3-kinase - Protein kinase B</td>
</tr>
<tr>
<td valign="top" align="left">PKM2</td>
<td valign="top" align="left">Pyruvate kinase muscle isozyme M2</td>
</tr>
<tr>
<td valign="top" align="left">PRR</td>
<td valign="top" align="left">Pattern recognition receptor</td>
</tr>
<tr>
<td valign="top" align="left">RIG-I</td>
<td valign="top" align="left">Retinoic acid-inducible gene I</td>
</tr>
<tr>
<td valign="top" align="left">RNA</td>
<td valign="top" align="left">Ribonucleic acid</td>
</tr>
<tr>
<td valign="top" align="left">ROS</td>
<td valign="top" align="left">Reactive oxygen species</td>
</tr>
<tr>
<td valign="top" align="left">S protein</td>
<td valign="top" align="left">Spike protein</td>
</tr>
<tr>
<td valign="top" align="left">S100B</td>
<td valign="top" align="left">S100 calcium-binding protein B</td>
</tr>
<tr>
<td valign="top" align="left">SARS-CoV-1/-2</td>
<td valign="top" align="left">Severe acute respiratory syndrome coronavirus 1/2</td>
</tr>
<tr>
<td valign="top" align="left">STAT</td>
<td valign="top" align="left">Signal transducer and activator of transcription protein</td>
</tr>
<tr>
<td valign="top" align="left">TANK</td>
<td valign="top" align="left">TRAF family member-associated NF-kappa-B activator</td>
</tr>
<tr>
<td valign="top" align="left">TBK1/IKK</td>
<td valign="top" align="left">TANK-binding kinase 1</td>
</tr>
<tr>
<td valign="top" align="left">TGF-&#x3b2;</td>
<td valign="top" align="left">Transforming growth factor beta</td>
</tr>
<tr>
<td valign="top" align="left">TLR-3/TLR-7</td>
<td valign="top" align="left">Toll-like receptor 3/7</td>
</tr>
<tr>
<td valign="top" align="left">TMPRSS2</td>
<td valign="top" align="left">Transmembrane protease, serine 2</td>
</tr>
<tr>
<td valign="top" align="left">TNF-&#x3b1;</td>
<td valign="top" align="left">Tumor necrosis factor</td>
</tr>
<tr>
<td valign="top" align="left">TRAF3/6</td>
<td valign="top" align="left">Tumor necrosis factor receptor-associated factor 3/6</td>
</tr>
<tr>
<td valign="top" align="left">VEGF</td>
<td valign="top" align="left">Vascular endothelial growth factor</td>
</tr>
<tr>
<td valign="top" align="left">ZO-1</td>
<td valign="top" align="left">Zonula occludens-1</td>
</tr>
<tr>
<td valign="top" align="left">&#x3b2;CoVs</td>
<td valign="top" align="left">&#x3b2;-coronaviruses</td>
</tr>
</tbody>
</table>
</table-wrap>
</glossary>
</back>
</article>