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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front.Virol.</journal-id>
<journal-title>Frontiers in Virology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front.Virol.</abbrev-journal-title>
<issn pub-type="epub">2673-818X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fviro.2022.849349</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Virology</subject>
<subj-group>
<subject>Review</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Therapeutic Potential of Long Non-Coding RNAs of HIV-1, SARS-CoV-2, and Endogenous Retroviruses</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Ruiz Ram&#xed;rez</surname>
<given-names>Andrea Virginia</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/238019"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Prado Montes de Oca</surname>
<given-names>Ernesto</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/774049"/>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Doctorate Program in Human Genetics, Health Sciences Campus (CUCS), Guadalajara University</institution>, <addr-line>Guadalajara</addr-line>, <country>Mexico</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Personalized Medicine National Laboratory (LAMPER), Medical and Pharmaceutical Biotechnology Department, Research Center in Technology and Design Assistance of Jalisco State (CIATEJ), National Council of Science and Technology (CONACYT)</institution>, <addr-line>Guadalajara</addr-line>, <country>Mexico</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Cybele Carina Garcia, University of Buenos Aires, Argentina</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Dinesh Devadoss, Florida International University, United States; Prashanth N. Suravajhala, Amrita Vishwa Vidyapeetham University, India</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Ernesto Prado Montes de Oca, <email xlink:href="mailto:eprado@ciatej.mx">eprado@ciatej.mx</email>
</p>
</fn>
<fn fn-type="other" id="fn002">
<p>This article was submitted to Antivirals and Vaccines, a section of the journal Frontiers in Virology</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>29</day>
<month>04</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="collection">
<year>2022</year>
</pub-date>
<volume>2</volume>
<elocation-id>849349</elocation-id>
<history>
<date date-type="received">
<day>06</day>
<month>01</month>
<year>2022</year>
</date>
<date date-type="accepted">
<day>21</day>
<month>03</month>
<year>2022</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2022 Ruiz Ram&#xed;rez and Prado Montes de Oca</copyright-statement>
<copyright-year>2022</copyright-year>
<copyright-holder>Ruiz Ram&#xed;rez and Prado Montes de Oca</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>Long non-protein coding RNAs (lncRNAs, predicted to be up to 200,000 in the human genome) are nucleic acids of more than 200 nucleotides that not only play primordial roles in the regulation of chromatin states, but also are capable of decoying or scaffolding proteins (e.g., transcription factors, TFs; host and viral proteins), DNA (e.g., promoters and enhancers), and RNA (e.g., miRNAs and hnRNAs) in 3D conformations acting in a chaperonin-like fashion. Specifically, lncRNAs modulate gene expression during the regulatory layers of transcription, RNA processing (splicing and indirectly editing), translation, and post-translational modifications including phosphorylation, acetylation, and ubiquitination. Accumulated evidence indicates that lncRNAs regulate antiviral immune responses mainly by transcription of IFN regulatory factors 1 (IRF1) and 4 (IRF4), which contribute to type I interferon (IFN&#x3b1; and IFN&#x3b2;) upregulation. Some of the most common TFs regulated by lncRNAs are TP53, CTCF, MYC, SOX2, EZH2 SFPQ, SUZ12, STAT1, STAT3, and NF-kappa B. In this review, the known functions of selected lncRNAs genes in HIV/AIDS (<italic>MALAT1, HEAL, NRON, TAR-gag, TP53COR1/lincRNA-p21, NEAT1, NKILA, LINC01426</italic> [formerly <italic>Uc002yug.2</italic>], <italic>FAS-AS1, LINC00173</italic> [formerly <italic>FLJ42957/NCRNA00173</italic>]<italic>, GAS5</italic>, and <italic>HIV-encoded antisense lncRNA</italic>) and COVID-19 (<italic>EGOT, MALAT1, NEAT1, DANCR, HOTAIR, FENDRR, LINC1505, FALCOR</italic>, and <italic>HISLA</italic>) are discussed. Furthermore, <italic>MALAT1</italic> is also involved in subsequent complications such as deep vein thrombosis (DVT) in COVID-19. In addition, after the increased understanding of the role of lncRNAs from Human Endogenous Retroviruses (HERVs, predicted to be at least 582 different with 725,763 repeats of them in the human genome) in cancer (TROJAN) and heart development (BANCR), transcripts of HERVs as lnc-EPAV and lnc-ALVA1-AS1 have recently drawn attention as host protective agents against viral infections. A deeper knowledge of host and viral lncRNAs interactions and their regulation will pave the way for the design of novel drugs inspired by host- and viral-encoded lncRNAs. These novel drugs have the potential to reduce the burden of HIV/AIDS and COVID-19 twofold: (1) by increasing their efficacy and (2) by minimizing the side effects of current drugs. We expect that lncRNA drugs will be able to modulate human and viral transcription in an unprecedented way but still effectively maintain homeostasis by deploying functionality below the pathogenic threshold.</p>
</abstract>
<kwd-group>
<kwd>long noncoding RNA</kwd>
<kwd>acquired immunodeficiency syndrome (AIDS)</kwd>
<kwd>SARS-CoV-2</kwd>
<kwd>COVID-19</kwd>
<kwd>endogenous retroviruses (ERVs)</kwd>
<kwd>HIV-1</kwd>
<kwd>drug development</kwd>
<kwd>gene regulation and expression</kwd>
</kwd-group>
<counts>
<fig-count count="7"/>
<table-count count="3"/>
<equation-count count="0"/>
<ref-count count="138"/>
<page-count count="18"/>
<word-count count="8619"/>
</counts>
</article-meta>
</front>
<body>
<sec id="s1">
<title>Introduction</title>
<p>Non-coding RNAs (ncRNA) were initially classified as &#x201c;evolutionary junk&#x201d;, but their important role in the regulation of transcription (<xref ref-type="bibr" rid="B1">1</xref>), cell differentiation (<xref ref-type="bibr" rid="B2">2</xref>), development (<xref ref-type="bibr" rid="B3">3</xref>), metabolic reprograming (<xref ref-type="bibr" rid="B4">4</xref>), and many others has been demonstrated [reviewed in (<xref ref-type="bibr" rid="B5">5</xref>&#x2013;<xref ref-type="bibr" rid="B7">7</xref>)]. Because they act at the RNA level and most of them are not transcribed, they were originally called &#x201c;riboregulators&#x201d; (<xref ref-type="bibr" rid="B8">8</xref>). They can be divided into two large classes: the small non-coding RNAs are commonly from &#x223d;20 to 200 nucleotides (nt), while those longer than 200 nt and up to &#x223d;100 kb and lacking open reading frames are long non-coding RNAs (lncRNA) (<xref ref-type="bibr" rid="B9">9</xref>&#x2013;<xref ref-type="bibr" rid="B11">11</xref>). The non-coding elements comprise 80% of the human genome (<xref ref-type="bibr" rid="B10">10</xref>). It has been suggested that between ~21,488 and ~200,000 lncRNAs (<xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B13">13</xref>) and a subset of these, the lincRNAs, sum up &gt;14,279 (<xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B15">15</xref>) in humans. RNA polymerase II is responsible for lncRNA transcription (<xref ref-type="bibr" rid="B8">8</xref>, <xref ref-type="bibr" rid="B16">16</xref>), and its biogenesis is similar to mRNAs in the sense that they are polyadenylated, capped, and spliced (<xref ref-type="bibr" rid="B5">5</xref>). However, it is worth mentioning that lincRNAs are less efficiently spliced. This can be partially explained because lincRNAs have weaker splicing-related motifs and lower binding to U2 small nuclear RNA auxiliary factor 2 (U2AF2, formerly U2AF65) (<xref ref-type="bibr" rid="B17">17</xref>). Depending on their functions, lncRNAs can be classified as <italic>cis</italic>-acting (within 10 k upstream or downstream of the coding genes they regulate) or <italic>trans</italic>-acting [identified by expression levels, according to Pearson&#x2019;s correlation coefficient |<italic>r</italic>| &gt; 0.95 (<xref ref-type="bibr" rid="B18">18</xref>) reviewed in (<xref ref-type="bibr" rid="B5">5</xref>)]. LncRNA scaffolds, guide lncRNAs, lncRNA decoys, enhancer RNAs (eRNAs), promoter-associated lncRNAs (PALRs), precursor lncRNA [reviewed in (<xref ref-type="bibr" rid="B19">19</xref>)], and a heterogeneous subgroup are involved in X-chromosome inactivation, telomere regulation, and imprinting (reviewed in (<xref ref-type="bibr" rid="B6">6</xref>)). Depending on their position in the genes, lncRNAs can also be classified as exonic, intronic, or intergenic (<xref ref-type="bibr" rid="B20">20</xref>). An additional classification regarding evolution are the Transcribed Ultra-Conserved Regions lncRNAs (T-UCRs, &#x2265;481) (<xref ref-type="bibr" rid="B21">21</xref>, <xref ref-type="bibr" rid="B22">22</xref>). An alternative and comprehensive classification can be found at (<xref ref-type="bibr" rid="B23">23</xref>).</p>
<p>LncRNAs regulate innate immunity in host&#x2013;virus interactions. During viral infection, cellular lncRNAs directly regulate viral genes and modify both viral replication and pathology through changes mediated by virus in transcriptome of the host (<xref ref-type="bibr" rid="B24">24</xref>&#x2013;<xref ref-type="bibr" rid="B26">26</xref>). Also, several lncRNAs could upregulate IFN-I (IFN&#x3b1; and IFN&#x3b2;) expression to induce an antiviral response (<xref ref-type="bibr" rid="B27">27</xref>&#x2013;<xref ref-type="bibr" rid="B30">30</xref>), reviewed in (<xref ref-type="bibr" rid="B31">31</xref>). Although lncRNAs seem to not have protein-coding function, some of them actually encode functional small peptides (<xref ref-type="bibr" rid="B32">32</xref>&#x2013;<xref ref-type="bibr" rid="B34">34</xref>) [reviewed in (<xref ref-type="bibr" rid="B35">35</xref>, <xref ref-type="bibr" rid="B36">36</xref>)]. In this review, we will focus on lncRNAs. LncRNAs can regulate different gene modulation processes. They regulate gene expression during the regulatory layers of transcription (<xref ref-type="bibr" rid="B37">37</xref>), RNA processing as splicing and indirectly editing (<xref ref-type="bibr" rid="B38">38</xref>), and/or translation (<xref ref-type="bibr" rid="B39">39</xref>). LncRNAs can control post-translational modification of proteins such as phosphorylation (<xref ref-type="bibr" rid="B40">40</xref>), acetylation (<xref ref-type="bibr" rid="B41">41</xref>), and ubiquitination (<xref ref-type="bibr" rid="B42">42</xref>, <xref ref-type="bibr" rid="B43">43</xref>). In brief, they can act as a decoy or scaffold of other molecules such as proteins (<xref ref-type="bibr" rid="B44">44</xref>&#x2013;<xref ref-type="bibr" rid="B46">46</xref>), RNA,and DNA (<xref ref-type="bibr" rid="B47">47</xref>). Also, their subcellular location gives important clues about its function in different biological processes. In the nucleus, they guide transcription factors or complexes that modify chromatin. In the cytosol, they control stability of mRNA (<xref ref-type="bibr" rid="B48">48</xref>) or compete with endogenous mRNA for access to the protein expression machinery (<xref ref-type="bibr" rid="B23">23</xref>). In the cytoplasm, lncRNAs can bind directly to transcription factors (TFs) (<xref ref-type="bibr" rid="B49">49</xref>). Interestingly, several lncRNAs are located near genes that encode TFs as well (<xref ref-type="bibr" rid="B50">50</xref>). However, particularly long intergenic non-coding RNAs (lincRNAs) regulate both the expression of neighboring genes and distant genomic sequences (<xref ref-type="bibr" rid="B6">6</xref>). At the transcription level, lncRNAs regulate accessibility to chromatin in processes that involve RNA polymerase and histone modification enzymes. Furthermore, their ability to bypass chromatin-modifying complexes to impact the basal transcriptional machinery and gene promoters has been demonstrated (<xref ref-type="bibr" rid="B51">51</xref>). One classical example of lncRNA in a non-disease state is the X-inactivation specific transcript (<italic>XIST</italic>) in women that recruits the polycomb complex. <italic>XIST</italic> induces chromosome silencing of the sexual chromosome from which it was transcribed (<xref ref-type="bibr" rid="B52">52</xref>) [reviewed in (<xref ref-type="bibr" rid="B53">53</xref>)]. LncRNAs can also stabilize mRNAs and regulate their decay by diverse mechanisms such as (1) binding to target mRNAs, (2) sequestering miRNAs and/or ribosome-binding proteins [RBPs, these lncRNAs are also called competitive endogenous RNAs (ceRNAs), decoys, or sponges], and (3) acting as scaffolds to enhance interaction of RBP-mRNA or interacting with m<sup>6</sup>A machinery to modulate m<sup>6</sup>A levels of target mRNAs. This induces gene expression (<xref ref-type="bibr" rid="B54">54</xref>). In addition to the complexity of their regulation, lncRNAs have slicing variants that are expressed in a tissue- and/or cell-specific manner (<xref ref-type="bibr" rid="B54">54</xref>). In recent years, an increased number of academic groups and pharmaceutical companies became interested in the development of novel therapies based on lncRNA regulation. Currently, at least 61 lncRNA-related clinical trials are ongoing worldwide for cancer, cardiovascular disease, diabetes, and other conditions/diseases (<uri xlink:href="https://www.clinicaltrials.gov/">https://www.clinicaltrials.gov/</uri> and <xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>).</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>World map of ongoing lncRNAs clinical trials according to (<uri xlink:href="http://www.clinicaltrials.gov">www.clinicaltrials.gov</uri>, accessed on March 15th, 2022). Numbers indicate the current clinical trials per country/region where the active substance of the treatment arm contains a lncRNA. Currently, there are 61 registered clinical trials, but none of them are for HIV-AIDS or COVID-19. The color of the country/region refers to the relative frequency of registered clinical trials in comparison with the other countries/regions (see the key of the figure).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fviro-02-849349-g001.tif"/>
</fig>
<p>LncRNAs are also involved in pathological processes in viral infections and cancer. HIV is the causative agent of AIDS. There are two strains of HIV, HIV-1 and HIV-2 (<xref ref-type="bibr" rid="B55">55</xref>). In this review, we will focus on lncRNAs encoded in HIV-1 and SARS-CoV-2 genomes as well in lncRNAs of human endogenous retroviruses (HERVs). For data of lncRNAs in other viruses, see (<xref ref-type="bibr" rid="B10">10</xref>). With the emergence of SARS-CoV-2 in 2019, the importance and the role that non-coding RNAs play in the infection process have been highlighted and recently investigated (<xref ref-type="bibr" rid="B56">56</xref>).</p>
<p>LncRNAs of HERVs and other host lncRNAs appear as a potential novel strategy to combat viral infections. It is important to know the mechanisms of action of lncRNAs in the development and outcome of infections for the development of more effective therapeutic strategies based on these complex gene regulation layer. In order to develop an adequate infectious process, viruses have the ability to decrease or increase the expression of lncRNAs; these changes can generate antiviral or proviral functions and completely modify the development of a disease. HIV alters the expression of important cellular lncRNAs (<xref ref-type="bibr" rid="B57">57</xref>), but the participation of other viruses has been just recently studied (<xref ref-type="bibr" rid="B10">10</xref>). Ma et&#xa0;al. (2021), reported 242 differentially expressed (DE) lncRNAs in early infection with HIV and might show cis-dependent regulation of B and T lymphocyte-associated protein gene (<italic>BTLA</italic>), zeta chain-associated protein kinase gene (<italic>ZAP70</italic>) and growth factor receptor-bound protein 2-related adaptor protein gene (<italic>GRAP</italic>). Some lncRNAs were predicted to act as ceRNAs to regulate expression of <italic>fos</italic> protooncogene, AP1 transcription factor subunit (<italic>FOS</italic>), fosb protooncogene, AP1 transcription factor subunit (<italic>FOSB</italic>), V-jun avian sarcoma virus 17 oncogene homolog (<italic>JUN</italic>), transcription factor 7-like 2 (<italic>TCF7L2</italic>), and hypoxia-inducible factor 1, &#x3b1;-subunit (<italic>HIF1A</italic>) (<xref ref-type="bibr" rid="B58">58</xref>). LncRNAs are crucial for viral reproduction (production of new infectious virus particles), either repressing or activating HIV-transcription. After HIV or SARS-CoV-2 infection, ncRNAs, including miRNAs, small interfering RNAs (siRNAs), and lncRNAs, are modulated by the virus, in order to achieve the successful replication (nucleic acid synthesis) cycle. Attempts have been made to compare the different datasets obtained by research groups on expression changes during infection, but it represents a great challenge because the expression levels are highly sensitive to external stimuli and it is difficult to define the basal levels that normally exist in cells, because interindividual variation exists (<xref ref-type="bibr" rid="B59">59</xref>). It has been identified as a deregulation response of many lncRNAs in response to either an infection process or changes in cytokines such as IFN, which end up impacting the viral replication that may occur (<xref ref-type="bibr" rid="B60">60</xref>). In addition, about 50% of HIV-1-positive patients receive combined antiretroviral therapy (cART), which includes a cocktail of inhibitors that target viral processes including entry, reverse transcription, integration, and/or protease-mediated cleavage (<xref ref-type="bibr" rid="B61">61</xref>). HIV-1 latency is a state in which viral RNA is hard to detect by conventional/clinic techniques. HIV-1 latency is one of the major barriers to eradicate HIV/AIDS because the virus remains largely undetected by the surveillance of the immune system.</p>
<p>In this review, we summarize the role of lncRNAs in some important viral infections such as COVID-19 and HIV-1/AIDS as well as briefly underline the importance of lncRNAs transcribed from HERVs, their functions, mechanisms, and some of their nucleic acid- and protein-binding partners. To avoid confusion in this review, lncRNA genes are written in italics and the transcripts of lncRNAs are not.</p>
</sec>
<sec id="s2">
<title>Role of Selected lncRNAs in HIV/AIDS</title>
<sec id="s2_1">
<title>Role of Metastasis-Associated Lung Adenocarcinoma Transcript 1</title>
<p>
<italic>MALAT1</italic> modulates epigenetic regulation of HIV-1 and alternative splicing of cellular precursor mRNAs (pre-mRNAs). Polycomb repressive complex 2 (PRC2) primarily trimethylates H3K27me3 to silence gene transcription. <italic>MALAT1</italic> prevents the binding of the catalytic subunit of PRC2 named enhancer of zeste 2 (EZH2) with HIV 5&#xb4;-long terminal repeat (LTR, <xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>). This reduces the LTR methylation mediated by PRC2 and activates HIV-1 replication (<xref ref-type="bibr" rid="B62">62</xref>). Experiments on overexpression of <italic>MALAT1</italic> in CD4<sup>+</sup> T cells increase HIV-1 replication, suggesting a potential application in reactivation of latent HIV-1 (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>).</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>The participation of lncRNA in HIV-1 infection is shown. HIV-1 binds to the CCR5 receptor in the cell. In the figure, the lncRNAs that induce an increase or inhibition are shown with different indicators (&#x2191; and &#x22a5; respectively). Figure was designed in Biorender by AVRR (<uri xlink:href="https://biorender.com/">https://biorender.com/</uri>).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fviro-02-849349-g002.tif"/>
</fig>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Selected lncRNAs of HIV-1 including their first report, known function, and nucleic acid/protein-binding partners.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Classification</th>
<th valign="top" align="center">Name</th>
<th valign="top" align="center">Gene symbol</th>
<th valign="top" align="center">First disease/assay reported </th>
<th valign="top" align="center">Function/stage in infection</th>
<th valign="top" align="center">Gene regulation layer</th>
<th valign="top" align="center">Nucleic acids/Protein binding Partners</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">lncRNA</td>
<td valign="top" align="left">Metastasis-Associated Lung Adenocarcinoma Transcript 1</td>
<td valign="top" align="left">
<italic>MALAT1</italic>
</td>
<td valign="top" align="left">Non-small cell lung cancer (<xref ref-type="bibr" rid="B63">63</xref>)</td>
<td valign="top" align="left">Activates replication and reactivation from latency</td>
<td valign="top" align="left">Epigenetic, alternative splicing</td>
<td valign="top" align="left">miR-142-3p, miR-3p/PRC2, STAT1, STAT3, STAT5A, IRF1, IRF4</td>
</tr>
<tr>
<td valign="top" align="left">lincRNA</td>
<td valign="top" align="left">HIV-1-Enhanced LncRNA</td>
<td valign="top" align="left">
<italic>HEAL</italic>
</td>
<td valign="top" align="left">
<italic>In vitro</italic> HIV-1 infection (<xref ref-type="bibr" rid="B64">64</xref>)</td>
<td valign="top" align="left">&#x2193; in latency, acetylation of H3K27Ac, recruits p300, &#x2191;CDK2, viral recrudescence</td>
<td valign="top" align="left">Epigenetic (histone acetylation), transcription by P-TEFb</td>
<td valign="top" align="left">HIV-1 promoter/FUS</td>
</tr>
<tr>
<td valign="top" align="left">lncRNA</td>
<td valign="top" align="left">Non-coding Repressor Of NFAT</td>
<td valign="top" align="left">
<italic>NRON</italic>
</td>
<td valign="top" align="left">
<italic>In vitro</italic> HIV-1 infection (<xref ref-type="bibr" rid="B65">65</xref>)</td>
<td valign="top" align="left">&#x2193; in latency, NFAT sequestering, degradation of Tat, thus tunes the degree of T-cell activation and HIV-1 LTR-mediated transcription</td>
<td valign="top" align="left">Transcription</td>
<td valign="top" align="left">?/CUL4A, 26S, S944.5</td>
</tr>
<tr>
<td valign="top" align="left">lincRNA</td>
<td valign="top" align="left">Trans Activation Response RNA-gag</td>
<td valign="top" align="left">
<italic>Tar-gag</italic>
</td>
<td valign="top" align="left">Exosomes from uninfected cells increase HIV-1 transcription in infected cells under cART (<xref ref-type="bibr" rid="B66">66</xref>)</td>
<td valign="top" align="left">Tat sequestering and aid in Tar degradation leads to HIV-1 silencing</td>
<td valign="top" align="left">Transcription</td>
<td valign="top" align="left">?/hnRNPA2B1</td>
</tr>
<tr>
<td valign="top" align="left">lincRNA</td>
<td valign="top" align="left">Tumor protein 53 pathway corepressor 1 gene</td>
<td valign="top" align="left">
<italic>TP53COR1</italic> (lincRNA-p21)</td>
<td valign="top" align="left">
<italic>In vitro</italic> HIV-1 infection (<xref ref-type="bibr" rid="B67">67</xref>)</td>
<td valign="top" align="left">Apoptosis induced by DSBs in CD4<sup>+</sup> T cells, downregulation allow pro survival genes in macrophages</td>
<td valign="top" align="left">Transcription</td>
<td valign="top" align="left">?/ELAVL1, hnRNPK, PRC2</td>
</tr>
<tr>
<td valign="top" align="left">lncRNA</td>
<td valign="top" align="left">Nuclear paraspeckle assembly transcript 1</td>
<td valign="top" align="left">
<italic>NEAT1</italic>
</td>
<td valign="top" align="left">
<italic>In vitro</italic> HIV-1 infection (<xref ref-type="bibr" rid="B67">67</xref>)</td>
<td valign="top" align="left">Paraspeckles assembly, viral defense association with regulators of inflammasome, enhances viral replication</td>
<td valign="top" align="left">Represses transcription, epigenetic (histone modification), apoptosis bypass, indirectly influences RNA editing</td>
<td valign="top" align="left">HIV-1 mRNA/hnRNPU, STAT1, STAT3, STAT5A, IRF1, IRF4</td>
</tr>
<tr>
<td valign="top" align="left">lncRNA</td>
<td valign="top" align="left">Nuclear factor kappa-B interacting lncRNA</td>
<td valign="top" align="left">
<italic>NKILA</italic>
</td>
<td valign="top" align="left">
<italic>In vitro</italic> HIV-1 infection (<xref ref-type="bibr" rid="B68">68</xref>)</td>
<td valign="top" align="left">By NF-&#x3ba;B sequestering, inhibits replication and infection</td>
<td valign="top" align="left">Prevents NF-&#x3ba;B-mediated transcription</td>
<td valign="top" align="left">?/p65</td>
</tr>
<tr>
<td valign="top" align="left">lincRNA</td>
<td valign="top" align="left">Long intergenic non-protein coding RNA 1426</td>
<td valign="top" align="left">
<italic>LINC01426</italic> (formerly <italic>Uc002yug.2)</italic>
</td>
<td valign="top" align="left">&#x2191;in esophageal squamous cell carcinoma (ESCC) (<xref ref-type="bibr" rid="B69">69</xref>)</td>
<td valign="top" align="left">By &#x2191;Tat expression and &#x2193; regulation of RUNX1b and RUNX1c, enhance HIV replication and latent reactivation</td>
<td valign="top" align="left">Inhibits replication, alternative splicing of <italic>RUNX1 (</italic>
<xref ref-type="bibr" rid="B69">69</xref>)</td>
<td valign="top" align="left">?/?</td>
</tr>
<tr>
<td valign="top" align="left">lncRNA</td>
<td valign="top" align="left">Fas cell surface death receptor-antisense transcript 1</td>
<td valign="top" align="left">
<italic>FAS-AS1</italic>
</td>
<td valign="top" align="left">B-cell lymphoma (<xref ref-type="bibr" rid="B70">70</xref>)</td>
<td valign="top" align="left">Production of sFas leads to resistance to fas-mediated apoptosis (<xref ref-type="bibr" rid="B70">70</xref>), survival of infected macrophages</td>
<td valign="top" align="left">Regulated by epigenetics (EZH2-mediated histone trimethylation), &#x2193;Regulation of caspases 3 and 7</td>
<td valign="top" align="left">?/?</td>
</tr>
<tr>
<td valign="top" align="left">lincRNA</td>
<td valign="top" align="left">Long intergenic non-protein coding RNA 173</td>
<td valign="top" align="left">
<italic>LINC00173</italic> (formerly NCRNA00173 or FLJ42957)</td>
<td valign="top" align="left">Involved in blood homeostasis (<xref ref-type="bibr" rid="B71">71</xref>)</td>
<td valign="top" align="left">&#x2193;Regulate levels of cytokines <italic>IFNG</italic>, <italic>CCL3</italic>, and <italic>CXCL8</italic> in T cells</td>
<td valign="top" align="left">Transcription &#x2193;regulation of cytokine genes and/or &#x2193;regulation of IFN-&#x3b3; translation</td>
<td valign="top" align="left">?/?</td>
</tr>
<tr>
<td valign="top" align="left">lncRNA</td>
<td valign="top" align="left">Growth arrest-specific transcript 5</td>
<td valign="top" align="left">
<italic>GAS5</italic>
</td>
<td valign="top" align="left">&#x2193;regulation in HIV-1 infected cells (<xref ref-type="bibr" rid="B65">65</xref>)</td>
<td valign="top" align="left">Attenuation of HIV replication, TCR activation</td>
<td valign="top" align="left">Transcription sponging acting as ceRNA, &#x2193;replication</td>
<td valign="top" align="left">miR21, miR-873/NS3 (of hepatitis C virus) (<xref ref-type="bibr" rid="B72">72</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">lncRNA</td>
<td valign="top" align="left">HIV-encoded antisense long non-protein coding RNA</td>
<td valign="top" align="left">
<italic>HIV-encoded antisense lncRNA</italic>
</td>
<td valign="top" align="left">
<italic>In vitro</italic> HIV-1 infection (<xref ref-type="bibr" rid="B73">73</xref>)</td>
<td valign="top" align="left">Inhibits expression of viral genes</td>
<td valign="top" align="left">Epigenetic (recruits and guides a chromatin-remodeling complex)</td>
<td valign="top" align="left">?/DNMT3a, HDAC-1, EZH2, G9a?</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s2_2">
<title>Role of HIV-1-Enhanced lncRNA</title>
<p>
<italic>HEAL</italic> is a lincRNA with a function in epigenetic regulation of HIV transcription. Active HIV infection upregulates <italic>HEAL</italic> in monocyte-derived macrophages (MDMs), T lymphocytes, and microglia. Its expression is dependent of viral replication and independent of viral entry. <italic>HEAL</italic> expression is downregulated in HIV-1-latent CD4<sup>+</sup>T cells. HEAL targets the HIV promoter and upregulates viral transcription by histone acetylation and elongation by positive transcription elongation factor b (P-TEFb). Furthermore, HEAL binds to the transcription factor FUS (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>), an RNA binding protein that together with HEAL recruits histone acetyltransferase p300 to the HIV-1 promoter. This also activates H3K27ac in the viral promoter and its progressive transcription. Blocking of HEAL could indirectly inhibit cyclin-dependent kinase 2 (CDK2) expression without altering its other relevant functions. Blocking HEAL also prevents viral recrudescence in both MDMs and T cells when azidothymidine (AZT) is discontinued (<xref ref-type="bibr" rid="B64">64</xref>). Downregulation of <italic>HEAL</italic> suggests a new epigenetic strategy to slow down HIV-1 infection (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>).</p>
</sec>
<sec id="s2_3">
<title>Role of the Non-Coding Repressor of Nuclear Factor of Activated T Cells</title>
<p>NRON serves as a scaffold and, together with ubiquitin ligase cullin A (CUL4A) and protease 26S, subunit 9 (S9p44.5) enzymes, sequesters the phosphorylated form of nuclear factor of activated T cell (NFAT) transcription factor in the cytoplasm. This inhibits HIV-1 transcription initiation (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>). HIV-1 causes downregulation of <italic>NRON</italic> (<xref ref-type="bibr" rid="B74">74</xref>), so this mechanism increases gene expression and finally an increased efficacy of HIV-1 active replication in the cells (<xref ref-type="bibr" rid="B65">65</xref>). <italic>NRON</italic> expression in the HIV-1 cycle is complex. Firstly, early in the viral cycle, Nef inhibits NRON, thus activating viral transcription. Secondly, in the late stage of infection, the Vpu viral protein induces <italic>NRON</italic> expression to swap from viral transcription to viral assembly and budding (<xref ref-type="bibr" rid="B65">65</xref>). Thirdly, NRON can also regulate HIV latency in an NFAT-independent fashion by enhancing ubiquitin-proteasome-dependent degradation of the viral activator of transcription (Tat) (<xref ref-type="bibr" rid="B75">75</xref>) (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>). This suppresses viral transcription and facilitates HIV latency preventing transcriptional activation of proviruses. Knockdown of <italic>NRON</italic> could enhance viral production from primary CD4<sup>+</sup> T lymphocytes latently infected with HIV-1. In HIV-infected individuals receiving combination antiretroviral therapy (cART), expression of endogenous NRON in resting CD4<sup>+</sup>T cells is inversely correlated with the expression level of intracellular viral RNA (<xref ref-type="bibr" rid="B75">75</xref>).</p>
</sec>
<sec id="s2_4">
<title>Role of Trans-Activation Response RNA-gag</title>
<p>This lncRNA was named <italic>TAR-gag</italic> because it contains the complete trans-activation response RNA (TAR) and U5 sequence of the 5-LTR and part of the <italic>gag</italic> gene (for an interaction network of gag, nc, ma, and rev viral proteins with human proteins, see <xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3</bold>
</xref>). Heterogeneous nuclear ribonucleoprotein A2/B1 protein (hnRNPA2B1) may package TAR and TAR-gag into exosomes by binding to their 5&#xb4;-GGAG-3&#xb4; motif. For this reason, the authors suggest that true HIV-1 latency <italic>in vivo</italic> is very unlikely due to the high number of exosomes (10<sup>8</sup>&#x2013;10<sup>11</sup>) to which tissues and cells in fluids are constantly exposed (<xref ref-type="bibr" rid="B66">66</xref>) (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>). TAR-gag can also silence HIV-1 transcription and latency sequestering Tat and promote its degradation (for an interaction network of Tat, Vpr, and vif viral proteins with human proteins, see <xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4</bold>
</xref>). The TAR-gag mechanism acts as an &#x201c;RNA machine&#x201d; by binding to proteins that suppress transcription and forming an RNA&#x2013;protein complex that regulates the gene expression of HIV-1 (<xref ref-type="bibr" rid="B61">61</xref>).</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>HIV-1-host protein interaction network. HIV-1 proteins Ma, Gag, Nc and Rev are shown in the central nodes in gray color, contacting each of them with the human proteins, which are nodes in blue color. Interactions between viral and human proteins are shown in the blue dotted lines, while interactions between the same human proteins are shown in the black dotted lines. Figure created in Cytoscape (<uri xlink:href="https://cytoscape.org/download.html">https://cytoscape.org/download.html</uri>).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fviro-02-849349-g003.tif"/>
</fig>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>HIV-1-host protein interaction network. HIV-1 proteins Tat, Vpr, and Vif are shown in the central nodes in gray color, contacting each of them with the human proteins, which are nodes in blue color. Interactions between viral and human proteins are shown in the blue dotted lines, while interactions between the same human proteins are shown in the black dotted lines. Figure created in Cytoscape (<uri xlink:href="https://cytoscape.org/download.html">https://cytoscape.org/download.html</uri>).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fviro-02-849349-g004.tif"/>
</fig>
</sec>
<sec id="s2_5">
<title>Role of Long Intergenic Non-Protein Coding RNA p21</title>
<p>LincRNA-p21 is encoded by the tumor protein p53 pathway corepressor 1 gene (<italic>TP53COR1</italic>, <uri xlink:href="http://www.genenames.org">www.genenames.org</uri>). Apoptosis is caused by double-strand breaks (DSBs) such as those induced by retrovirus integration as in the case of HIV-1. Apoptosis is coordinated by lincRNA-p21, which is p53-regulated. LincRNA-p21 mediated its function by binding in a complex with one of its three protein partners ELAV-like RNA-binding protein 1 (ELAVL1, formerly called Hu-antigen R or HuR), heterogeneous nuclear ribonucleoprotein K (hnRNPK), or PRC2 (<xref ref-type="bibr" rid="B67">67</xref>) (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>). ELAVL1 contains three ribonucleoprotein-type consensus motifs and bind to cis-acting AU-rich elements (AREs). A core element of 27 nucleotides contains AUUUA, AUUUUA, and AUUUUUA motifs (<xref ref-type="bibr" rid="B76">76</xref>). HIV enables lincRNA-p21 degradation by sequestering ELAVL1 in the nucleus. Also, HIV sequesters hnRNPK in the cytoplasm through the pro-survival MAP2K1/ERK2 pathway, thus inducing transcription of pro-survival genes in macrophages. This is in contrast to T cells, where maturing cells switch off the MAP2K1/ERK2 cascade (<xref ref-type="bibr" rid="B67">67</xref>). In brief, HIV-1 induces apoptosis in CD4<sup>+</sup> T cells but mainly is non-cytopathic in macrophages leading to the long-term dissemination of the virus (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>).</p>
</sec>
<sec id="s2_6">
<title>Role of Nuclear Paraspeckle Assembly Transcript 1</title>
<p>Paraspeckles are non-membranous organelles located in the nucleus where many RNAs reside and RNA-binding proteins (RBPs) as well. Two of these RBPs are insulin-like growth factor-binding protein 7 (IGFBP7, formerly prostacyclin-stimulating factor or PSF) and non-Pou domain-containing octamer-binding protein (NONO, formerly p54 nuclear RNA-binding protein or p54NRB). The function of paraspeckle bodies is suggested to be gene regulation through nuclear retention of RNA for editing by the adenosine deaminase acting on RNA 1 (ADAR1) enzyme. NEAT1 controls RNA regulatory processes by forming a critical scaffold to assemble paraspeckles, substructures that are very important for HIV replication (<xref ref-type="bibr" rid="B77">77</xref>). <italic>NEAT1</italic> is involved in different pathways as viral defense, innate, and inflammatory responses. <italic>NEAT1</italic> has two isoforms, <italic>NEAT1_1</italic> or <italic>MEN&#x3b5;</italic> (3.7 kb) and <italic>NEAT1_2</italic> or <italic>MEN&#x3b2;</italic> (23 kb). Upon HIV-1 infection in diverse cell lines such as Jurkat, MT4, THP1, and THP1 differentiated with phorbol-12-myristate-13-acetate (PMA), isoforms NEAT1_1 and NEAT1_2 were upregulated ~3- to 7-fold and ~6- to 11-fold, respectively (<xref ref-type="bibr" rid="B77">77</xref>). NEAT1 represses HIV transcription (<xref ref-type="bibr" rid="B58">58</xref>) (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>) and this enhances HIV-1 replication in activated CD4<sup>+</sup>T cells in a post-transcriptional stage. Jurkat CD4<sup>+</sup> T-cell lines with a knockout (KO) of the <italic>NEAT1</italic> gene were more prone to the induction of apoptosis when compared with parental Jurkat cells (<xref ref-type="bibr" rid="B78">78</xref>). Quantitative PCR (qPCR) showed that <italic>NEAT1</italic> is downregulated in the plasma of infected patients and this expression correlates with CD4<sup>+</sup> T-cell count. Furthermore, in PBMCs, <italic>NEAT1</italic> was upregulated in highly active antiretroviral therapy (HAART)-na&#xef;ve patients (<italic>n</italic> = 31) and downregulated in patients receiving HAART (<italic>n</italic> = 28) (<xref ref-type="bibr" rid="B79">79</xref>). <italic>NEAT1</italic> is further associated with regulator proteins of inflammasome and by its assembly with the immune-controlled ribonuclear complex (<xref ref-type="bibr" rid="B15">15</xref>). NEAT1 inhibits virus production through nuclear-to-cytoplasm export of Rev-dependent instability element (INS)-containing HIV-1 mRNAs. Thus, this evidence suggests that paraspeckles are indeed the depot for storing HIV-1 Rev-dependent INS-containing RNAs that are diverted away from splicing (<xref ref-type="bibr" rid="B77">77</xref>). In HeLa cells, <italic>NEAT1</italic> KO can promote the export of HIV-1 mRNA from the nucleus towards the cytoplasm and enhance viral production (<xref ref-type="bibr" rid="B15">15</xref>). NEAT1 contributes to antiviral response in a similar way to MALAT1 when the former interacts with STAT1, STAT3, STAT5A, and interferon regulatory factors 1 and 4 (IRF1 and IRF4) TFs. NEAT1 also interacts with heterogeneous nuclear ribonucleoprotein U (hnRNPU) altering histone modification of target genes (<xref ref-type="bibr" rid="B10">10</xref>). HIV-1 takes advantage of <italic>NEAT1</italic> downregulation by promoting infection and enhancing viral replication (<xref ref-type="bibr" rid="B79">79</xref>) (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>).</p>
</sec>
<sec id="s2_7">
<title>Role of Nuclear Factor Kappa-B-Interacting lncRNA</title>
<p>NKILA potently inhibits the replication and infection production of clones of HIV-1 with different co-receptor tropisms including R5X4-tropic 89.6, brain-derived Yu2, and macrophage-tropic AD8 strains. KILA binds to p65 and retains NF-&#x3ba;B in the cytoplasm (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>). HIV-1 counterattacks downregulating <italic>NKILA</italic> by decreasing H3K27 acetylation in the <italic>NKILA</italic> promoter (<xref ref-type="bibr" rid="B68">68</xref>) (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>).</p>
</sec>
<sec id="s2_8">
<title>Role of Long Intergenic Non-Protein Coding RNA 1426</title>
<p>LINC01426 (formerly Uc002yug.2) is encoded by gene <italic>LINC01426</italic> (<uri xlink:href="http://www.genecards.org">www.genecards.org</uri>). LINC01426 enhances replication of HIV and latent HIV activation by increasing the expression of Tat protein and downregulating Runt-related transcription factor 1b and 1c (<italic>RUNX1b</italic> and <italic>RUNX1c</italic>). In primary CD4<sup>+</sup>T cells derived from HIV-1 patients successfully treated with HAART, the expression of LINC01426 was lower than in those HAART-na&#xef;ve patients. Overexpression of LINC01426 in resting CD4<sup>+</sup> T cells derived from individuals treated with HAART and after T-cell activation by phytohemagglutinin M (PHA-M) led to significant HIV reactivation (<xref ref-type="bibr" rid="B80">80</xref>) (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>).</p>
</sec>
<sec id="s2_9">
<title>Role of fas Cell Surface Death Receptor-Antisense Transcript 1</title>
<p>In macrophages, which are resistant to virus-induced apoptosis, <italic>FAS-AS1</italic> [formerly SAF; for correct guidelines of lncRNA nomenclature according to the Human Genome Organization Gene Nomenclature Committee (HGNC), see (<xref ref-type="bibr" rid="B81">81</xref>, <xref ref-type="bibr" rid="B82">82</xref>)] regulates apoptotic effector caspases. Downregulation of <italic>FAS-AS1</italic> increases the caspase-3 and caspase-7 activities in HIV-infected MDMs and exclusively induces cell death in macrophages infected with HIV. In bronchoalveolar lavage (BAL), macrophages obtained from HAART-na&#xef;ve individuals show increased <italic>FAS-AS1</italic> expression. <italic>FAS-AS1</italic> is useful in the survival of persistently HIV-1-infected macrophages. Also, <italic>FAS-AS1</italic> is increased in HIV-positive lung alveolar macrophages from chronically infected patients (<xref ref-type="bibr" rid="B83">83</xref>) (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>).</p>
</sec>
<sec id="s2_10">
<title>Role of Long Intergenic Non-Protein Coding RNA 173</title>
<p>Two independent RNA-seq studies revealed that expression of <italic>LINC00173</italic> (formerly NCRNA00173 or FLJ42957, <uri xlink:href="https://www.genenames.org">https://www.genenames.org</uri>) is increased &#x2265;2-fold during HIV-1 infection and the location of this lncRNA is mainly in the nucleus. There are two isoforms of this lncRNAs, lnc173 TSV1 and lnc173 TSV2, which are polyadenylated. These can be detected by qPCR (<xref ref-type="bibr" rid="B84">84</xref>). It is likely that LINC00173 has a role in the regulation of cytokine levels in T cells during immune responses associated with HIV-1 because Jurkat cells with KO for <italic>LINC00173</italic> and exposed to PMA and ionomycin express higher mRNA levels of cytokine genes <italic>IFNG</italic>, <italic>CCL3</italic>, and <italic>CXCL8</italic> than control cells, in contrast with <italic>IL2</italic> and <italic>TNF</italic> genes, whose mRNA levels do not differ. Furthermore, in the same report, <italic>LINC00173</italic> KO clones also produced increased protein levels of IFN-&#x3b3; (<xref ref-type="bibr" rid="B84">84</xref>) (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>).</p>
</sec>
<sec id="s2_11">
<title>Role of Growth Arrest-Specific Transcript 5</title>
<p>Gas5 is downregulated in HIV-1-infected cells (<xref ref-type="bibr" rid="B65">65</xref>). GAS5 could act as ceRNA, because it suppresses miR-873 expression, which can promote replication of HIV. Thus GAS5 downregulates HIV replication (<xref ref-type="bibr" rid="B85">85</xref>). Furthermore, GAS5 regulates functions of CD4<sup>+</sup> T cells through mir21-mediated signaling in people living with HIV (PLHIV, <xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>). This regulates signaling molecules involved in the damage of DNA and cellular responses after T-cell receptor (TCR) activation (<xref ref-type="bibr" rid="B86">86</xref>) (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>).</p>
</sec>
<sec id="s2_12">
<title>Role of HIV-Encoded Antisense lncRNA</title>
<p>This antisense lncRNA is localized in the 5&#xb4;LTR and replaces the components of endogenous cellular pathways. This lncRNA recruits and guides a chromatin-remodeling complex by binding to methyltransferase 3a (DNMT3a), histone deacetylase 1 (HDAC-1), and the polycomb protein enhancer of zeste homolog 2 (EZH2). The presence of these proteins at 5&#xb4;LTR leads to epigenetic changes in histones associated with the viral promoter. This results in a downregulation of HIV-1 gene expression. Suppression of this lncRNA with small single-stranded antisense RNAs leads to the activation of viral gene expression DNA (<xref ref-type="bibr" rid="B73">73</xref>) (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>).</p>
</sec>
<sec id="s2_13">
<title>Other lncRNAs in HIV Infection</title>
<p>In monocyte-derived macrophages, lncRNA differentiation antagonizing non-protein coding RNA (<italic>DANCR</italic>) is downregulated by IFN-&#x3b5; stimulation, and 21 interactions with mRNAs were predicted. This was in contrast to classic lncRNAs such as <italic>NEAT1, GAS5</italic>, and <italic>MALAT1</italic>, which showed no differential expression in HIV-infected MDMs (<xref ref-type="bibr" rid="B87">87</xref>). Another lncRNA is AK130181, which represses HIV transcription and induces latency through NF-&#x3ba;B signaling. Interestingly, lncRNA LOC102549805 (lncRNA-U1) modulates neurotoxicity of HIV Tat protein (<xref ref-type="bibr" rid="B88">88</xref>). Additional lncRNAs in HIV-1 infection were recently reviewed in (<xref ref-type="bibr" rid="B89">89</xref>).</p>
</sec>
</sec>
<sec id="s3">
<title>Potential of lncRNAs in HIV/AIDS Diagnostics</title>
<p>Plasma levels of lincRNA chr12:57761837-57762303 and lincRNA:chr2:165509129-165519404 were better markers for HIV-1 infection whereas LincRNA chr5:87580664-87583451, XLOC_001148, and lincRNA chr10:128586385-128592960 were better markers for HIV-2 infection (<xref ref-type="bibr" rid="B90">90</xref>). The presence of NEAT1 in plasma has been suggested as a biomarker of HIV-1 infection (<xref ref-type="bibr" rid="B79">79</xref>).</p>
</sec>
<sec id="s4">
<title>Potential of lncRNAs in Prognosis of HIV/AIDS</title>
<p>Schynkel et&#xa0;al. (2020) analyzed the transcriptomic change of macrophages treated with three types of IFNs (IFN-&#x3b1;, IFN-&#x3b3;, and IFN-&#x3f5;) and 6 h post-infection with HIV-1. They found differential expression of 474 genes. From these, 112 (24%) were classified as non-coding; within these seven DE genes, they coincided between the four conditions of IFN finding five lncRNAs, namely, AC053503.1, NRIR, C8orf3, AL359551.1, and MIR3945HG, as well as two pseudogenes, namely, neutrophil cytosolic factor 1C pseudogene (<italic>NCF1C</italic>) and guanylate binding protein 1 pseudogene 1 (<italic>GBP1P1</italic>) (<xref ref-type="bibr" rid="B87">87</xref>).</p>
<p>In elite controllers of HIV, it has been suggested that in myeloid dendritic cells, the <italic>lnc MIR4435-2</italic> host gene (MIR4435-2HG) enhances metabolic function through epigenetic mechanisms including H3K27 enrichment at an intronic enhancer of the regulatory associated protein of mammalian target of rapamycin [mTOR] (<italic>RPTOR)</italic> locus, which is the main component of the mTOR complex 1 (mTORC1) by means of a predicted triple helix of RNA&#x2013;DNA. These changes shows features of trained innate immunity (<xref ref-type="bibr" rid="B91">91</xref>).</p>
<p>RUNX1 overlapping RNA (RUNXOR) is an lncRNA and an important regulator of myeloid-derived suppressor gene. RUNXOR and RUNX are upregulated in MDSCs that expand and accumulate in human PBMCs in people living with HIV (PLHIV). RUNXOR and RUNX are associated with expression of immunosuppressive molecules such as reactive oxygen species, arginase 1, signal transducer and activator of transcription 3 (STAT3), IL-6, and inducible nitric oxide (NO) synthase (<xref ref-type="bibr" rid="B92">92</xref>).</p>
<p>A total of 242 lncRNAs were DE in HAART-na&#xef;ve people living with HIV (PLHIV) patients. Seventeen of those lncRNAs were predicted to regulate <italic>TCF7L2</italic> and <italic>HIF1A</italic> genes, which are involved in HIV transcription. Twenty DE lncRNAs probably share miRNA response elements with JUN and FOS, which are associated with both HIV-1 replication and immune activation (<xref ref-type="bibr" rid="B58">58</xref>).</p>
<p>Chemokine, CC motif, receptor 5-antisense (CCR5-AS) is an lncRNA that regulates differential expression of CCR5, the major co-receptor of HIV. High expression of <italic>CCR5-AS</italic> sequesters the RALY heterogeneous nuclear ribonuclear protein (RALY) preventing its binding to CCR5 3&#xb4;-UTR. This prevents the decay of <italic>CCR5</italic> mRNA (<xref ref-type="bibr" rid="B93">93</xref>).</p>
</sec>
<sec id="s5">
<title>LncRNAs as Potential Therapy in HIV/AIDS</title>
<p>For the complete transcription of HIV-1, two stimuli are necessary. Firstly, the activation of T cells, and secondly, the translation of the viral protein Tat. With this rationale, one therapeutic approach is that peptides capable of competing for Tat binding and stimulating a viral ncRNA response have been applied. Peptide F07 #13 can induce the silencing of transcriptional genes by inducing viral ncRNA (e.g., TAR-gag and TAR) that act with transcriptional suppressor proteins cullin 4B (CUL4B), PRC2, and SIN3 transcription regulator family member A (SIN3A), ultimately leading to ubiquitination of Tat (<xref ref-type="bibr" rid="B61">61</xref>). Inhibition of lncRNAs that induce latency can be achieved by post-transcriptional degradation of the lncRNA with short hairpin RNA (shRNA), antisense oligonucleotide (ASO), or siRNA. Improved design of modified siRNA and ASOs has led to a higher efficacy and stability, while off-target effects are reduced. This can be attained by lncRNA transcription inhibition of by gene editing by CRISPR-Cas or promoter blockade (<xref ref-type="bibr" rid="B94">94</xref>, <xref ref-type="bibr" rid="B95">95</xref>). As the function of lncRNAs is through formation of secondary structures with both proteins and nucleic acids, a diverse collection of RNA decoys, nanobodies, small molecules, and aptamers to induce steric hindrance are being evaluated in ongoing efforts (<xref ref-type="bibr" rid="B96">96</xref>). Most of the current approaches for therapy are focused on pathogenic lncRNA inhibition by delivery of lncRNA made of synthetic RNA. For lncRNA delivery, a feasible approach is to use adeno-associated virus, herpes virus, ncRNA sponges, chemical modified ncRNAs, non-viral vectors, computed tomography-guided injections, and endoscopic ultrasound (<xref ref-type="bibr" rid="B97">97</xref>).</p>
<p>The lack of sequence conservation across species is one of the main challenges of lncRNA research. One solution could be humanized mouse models. In addition, specific markers of HIV-1 latently infected cells remain to be identified. Induction of apoptosis in virus-infected cell only, is caused by downregulation of the lncRNA heterogeneous nuclear ribonucleoprotein U gene (HNRNPU, formerly SAF) with siRNA. This leaves unaffected the bystander cells (<xref ref-type="bibr" rid="B83">83</xref>). The effectiveness and safety of lncRNA-mediated therapy should be demonstrated in non-human primates as well as in clinical trials. Importantly, the elimination of reservoirs of latent HIV-1 remains the major hurdle to find a complete cure for HIV-1 infection. The approaches to trying to tackle this are killing infected cells, gene therapy, &#x201c;shocking and kill&#x201d; HIV-1 out of latency [reviewed in (<xref ref-type="bibr" rid="B97">97</xref>)], and/or HIV-1 silencing, e.g., through the histone chaperones, namely, chromatin assembly factor I, subunits A and B (CHAF1A and CHAF1B) (<xref ref-type="bibr" rid="B98">98</xref>). Nevertheless, none of these potential solutions are likely to eradicate HIV in the short term; a combination of them could lead to a feasible functional cure in the mid or long term.</p>
</sec>
<sec id="s6">
<title>Expression of lncRNAs in COVID-19 and Murine Models</title>
<p>The role of lncRNAs in both the initiation and progression of viral infection has been reported. In a mouse model, RNA sequencing of influenza A virus and SARS-CoV-2-infected lung tissues also demonstrated the key roles of lncRNAs in pathogenesis of respiratory virus by inducing interferon (IFN). In this model, the pathogenesis regulation is mediated by signal transducer and activation of transcription (STAT1). In COVID-19 patients, an increasing chemokine expression has been observed in reduced or absence of type I (IFN&#x3b1; and IFN&#x3b2;) and III (IFN&#x3bb;1, IFN&#x3bb;2, IFN&#x3bb;3, and IFN&#x3bb;4) interferons (<xref ref-type="bibr" rid="B99">99</xref>). Thus, the lncRNA network of COVID-19 patients showed a significant downregulation of IFN-I response (<xref ref-type="bibr" rid="B15">15</xref>). Furthermore, in SARS-CoV-2 infection, 527 bronchoalveolar lavage fluid (BALF) and 239 protein-coding genes (PCGs in peripheral blood mononuclear cell-PBMC) could be influenced by 162 and 106 cis-acting lncRNAs, respectively. Main pathways involved are myeloid local site activation, immune system, iron homeostasis regulation, and degranulation of neutrophils in the tissue-specific regulation of host pyrin domain (PYD) and C-terminal caspase-recruitment domain (CARD)-containing protein (<italic>PYCARD</italic>) and <italic>IFNG</italic> gene (PBMC) as well as calpain 1 (<italic>CAPN1</italic>) gene mediated by <italic>MALAT1</italic> and <italic>NEAT1</italic> lncRNAs (<xref ref-type="bibr" rid="B99">99</xref>). Another report suggests that 195 and 155 lncRNAs are down- and upregulated, respectively (<xref ref-type="bibr" rid="B100">100</xref>). Furthermore, another group reported that, in the GEO database (GSE147507) in more than one cell line, the DE lncRNAs were <italic>LINC00312, LINC00473</italic>, <italic>LINC00605</italic>, HLA complex group 11 (<italic>HCG11</italic>), HIF1A-antisense 2 (<italic>HIF1A-AS2</italic>), eosinophil granule ontogeny (<italic>EGOT</italic>), erythrocyte membrane protein band 4.1-like 4A-antisense 1 (<italic>EPB41L4A-AS1</italic>)<italic>, LINC00115, LINC00174, LINC00265, LINC00662, LINC00842</italic>, myocardial infarction-associated transcript (<italic>MIAT</italic>)<italic>, NEAT1, MALAT1</italic>, maternally expressed 3 and 9 (<italic>MEG3</italic> and <italic>MEG9</italic>), RNA component mitochondrial RNA processing endoribonuclease (<italic>RMRP</italic>), telomerase RNA component (<italic>TERC</italic>), and zinc finger protein 674&#x2013;antisense 1 (<italic>ZNF674-AS1</italic>) and decreased expressions of TP3 target 1 (<italic>TP53TG1</italic>), <italic>LINC00488</italic>, prostate androgen-regulated transcript 1 (<italic>PART1</italic>), and <italic>LINC00857</italic> (<xref ref-type="bibr" rid="B101">101</xref>). Also in a murine model, a report suggests that there are 5,329 different lncRNAs (<xref ref-type="bibr" rid="B15">15</xref>). In the binding of lncRNA and transcription factors, those more relevant were IRF1, STAT1, and MYC1. Notably, in lungs of COVID-19 patients, expression of <italic>NEAT1</italic> was also increased significantly (<xref ref-type="bibr" rid="B101">101</xref>). Interestingly, expression of <italic>MALAT, NEAT1</italic>, and <italic>MIAT</italic> was common between SARS-CoV-2-infected cells and those infected with HIV. An increased expression of <italic>MALAT1</italic> and abnormal expression of other lncRNAs was reported in BAL fluid of COVID-19 patients (<xref ref-type="bibr" rid="B15">15</xref>, <xref ref-type="bibr" rid="B99">99</xref>, <xref ref-type="bibr" rid="B101">101</xref>). Hox antisense intergenic RNA (HOTAIR), NEAT1, MALAT1, LINC00589 (formerly tumor-suppressor lncRNA on chromosome 8p12 or TSLNC8), and cardiac autophagy inhibitory factor (CAIF) lncRNAs may regulate IL-6 expression. In contrast, <italic>XIST</italic>, cyclin-dependent kinase inhibitor 2B-antisense RNA gene (<italic>CDKN2B-AS1</italic>, formerly antisense RNA in the <italic>INK4</italic> locus or <italic>ANRIL</italic>), repulsive guidance molecule domain family, member B-antisense 1 (<italic>RGMB-AS1</italic>), <italic>NEAT1</italic>, MAS-related G-protein coupled receptor, member D (<italic>MRGPRD</italic>, formerly <italic>Gm499</italic>), and cytochrome C oxidase subunit II (<italic>MT-CO2</italic>, formerly <italic>Cox2</italic>) lncRNAs encoded in the mitochondria genome have been implicated in the formation of inflammasome (<xref ref-type="bibr" rid="B100">100</xref>). Another group reported 410 differentiated lncRNA among COVID-19 patients and controls (<xref ref-type="bibr" rid="B20">20</xref>). Different results, particularly the role of IFN-I in COVID-19 patients, must be due to the application of different methodologies, different tested time points, and non-comparable cell lines analyzed (<xref ref-type="bibr" rid="B101">101</xref>). The majority of these lncRNAs have been predicted by <italic>in silico</italic> approaches except <italic>NEAT1</italic> (upregulation) and <italic>DANCR</italic> (downregulation). LncRNAs in cytokine storm are RAS gene associated with diabetes 51-antisense 1 (<italic>RAD51-AS1</italic>, formerly <italic>TODRA</italic>), non-coding RNA activated by DNA damage (<italic>NORAD</italic>, formerly <italic>LINC00657</italic>), and <italic>GAS5</italic> (<xref ref-type="bibr" rid="B15">15</xref>).</p>
<sec id="s6_1">
<title>Role of MALAT1</title>
<p>Regarding the possible complications of COVID-19 infection, MALAT1 ameliorates deep vein thrombosis (DVT). The mechanism is through inhibition of proliferation and migration of endothelial progenitor cells and finally thrombosis dissolution <italic>via</italic> the Wnt/&#x3b2;-catenin signaling pathway (<xref ref-type="bibr" rid="B102">102</xref>). In addition, MALAT1 reduces the epigenetic silencing of viral transcription by regulating interactions of promoter-enhancer upregulating viral transcription and infection. MALAT1 interacts with STAT1, STAT3, STAT5A, IRF1, and IRF4. MALAT1 is a negative regulator of type I IFN production (<xref ref-type="bibr" rid="B10">10</xref>) (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5</bold>
</xref>) and sequesters miR-142-3p and miR-146a-5p to repress their anti-inflammatory activities and its overexpression, thus promoting inflammation (<xref ref-type="bibr" rid="B10">10</xref>). Deletion of <italic>MALAT1</italic> led to the activation of p53 and its target genes, which affect the normal progression of the cell cycle (<xref ref-type="bibr" rid="B15">15</xref>) (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>). In addition, in a mouse model of SARS-CoV-2 infection, <italic>Malat1</italic> was downregulated by tubulin &#x3b1;1 (TubA1A), the 60S ribosomal protein (Rlp6), and the endoplasmic reticulum protein retention receptor 3 (Kdelr3) (<xref ref-type="bibr" rid="B15">15</xref>).</p>
<fig id="f5" position="float">
<label>Figure&#xa0;5</label>
<caption>
<p>The participation of lncRNA in SARS-CoV2 infection. The virus binds the ACE2 receptor in the host cell. In the figure, the lncRNAs that induce an increase or inhibition are shown with different indicators (&#x2191; and &#x22a5; respectively). The figure was designed in Biorender by AVRR (<uri xlink:href="https://biorender.com/">https://biorender.com/</uri>).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fviro-02-849349-g005.tif"/>
</fig>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Selected lncRNAs of SARS-CoV-2 including their first report, known function, and nucleic acid/protein-binding partners.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Classification</th>
<th valign="top" align="center">Name</th>
<th valign="top" align="center">Gene symbol</th>
<th valign="top" align="center">First disease/assay reported </th>
<th valign="top" align="center">Function</th>
<th valign="top" align="center">Gene regulation layer</th>
<th valign="top" align="center">Nucleic acids/Protein binding Partners</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">lncRNA</td>
<td valign="top" align="left">Eosinophil granule ontogeny</td>
<td valign="top" align="left">
<italic>EGOT</italic>
</td>
<td valign="top" align="left">Early eosinophil development marker (<xref ref-type="bibr" rid="B103">103</xref>)</td>
<td valign="top" align="left">Antiviral response</td>
<td valign="top" align="left">Promotes colon cancer cells autophagy, prevents cell growth and metastasis (<xref ref-type="bibr" rid="B104">104</xref>)</td>
<td valign="top" align="left">mirNA-33a-5p, mirNA-33b-5p (<italic>in silico</italic>) (<xref ref-type="bibr" rid="B104">104</xref>)/ELAVL1</td>
</tr>
<tr>
<td valign="top" align="left">lncRNA</td>
<td valign="top" align="left">Metastasis-Associated Lung Adenocarcinoma Transcript 1</td>
<td valign="top" align="left">
<italic>MALAT1</italic>
</td>
<td valign="top" align="left">Non-small cell lung cancer (<xref ref-type="bibr" rid="B63">63</xref>)</td>
<td valign="top" align="left">Counteract deep vein thrombosis (DVT), &#x2193;p53 activation, &#x2193;type I IFN by <italic>IFNG</italic> gene, regulates <italic>CAPN1</italic>, <italic>PYCARD</italic> and <italic>IL6</italic> genes</td>
<td valign="top" align="left">Epigenetics through sequestering of miRNAs, transcription</td>
<td valign="top" align="left">miR-142-3p, miR-3p/PRC2, STAT1, STAT3, STAT5A, IRF1, IRF4</td>
</tr>
<tr>
<td valign="top" align="left">lncRNA</td>
<td valign="top" align="left">Nuclear paraspeckle assembly transcript 1</td>
<td valign="top" align="left">
<italic>NEAT1</italic>
</td>
<td valign="top" align="left">
<italic>In vitro</italic> HIV-1 infection (<xref ref-type="bibr" rid="B67">67</xref>)</td>
<td valign="top" align="left">Inflammasome formation, differentiate mild from severe damage in COVID-19, regulates <italic>CAPN1</italic>, <italic>PYCARD</italic>, <italic>IFNG</italic> and <italic>IL6</italic> genes</td>
<td valign="top" align="left">Transcription</td>
<td valign="top" align="left">HIV-1 mRNA/hnRNPU, STAT1, STAT3, STAT5A, IRF1, IRF4</td>
</tr>
<tr>
<td valign="top" align="left">lncRNA</td>
<td valign="top" align="left">Differentiation Antagonizing Non-protein Coding RNA</td>
<td valign="top" align="left">
<italic>DANCR</italic>
</td>
<td valign="top" align="left">Monocytes associated with osteoporosis (<xref ref-type="bibr" rid="B105">105</xref>)</td>
<td valign="top" align="left">Regulates inflammation by cholinergic inhibition, &#x2191;transcription and &#x2191;translation of IL6 and TNF-&#x3b1; (<xref ref-type="bibr" rid="B105">105</xref>)</td>
<td valign="top" align="left">Transcription and translation</td>
<td valign="top" align="left">?/?</td>
</tr>
<tr>
<td valign="top" align="left">lincRNA</td>
<td valign="top" align="left">Hox antisense intergenic RNA</td>
<td valign="top" align="left">
<italic>HOTAIR</italic>
</td>
<td valign="top" align="left">Cancer invasiveness (<xref ref-type="bibr" rid="B106">106</xref>)</td>
<td valign="top" align="left">Interacts with Spike at both DNA and mRNA, regulates <italic>IL6</italic> gene</td>
<td valign="top" align="left">Transcription and translation</td>
<td valign="top" align="left">
<italic>IL6</italic> gene, S mRNA/?</td>
</tr>
<tr>
<td valign="top" align="left">lncRNA</td>
<td valign="top" align="left">FOXF1 adjacent non-coding developmental regulatory RNA</td>
<td valign="top" align="left">
<italic>FENDRR</italic>
</td>
<td valign="top" align="left">Heart development (<italic>Fendrr</italic> in mice) (<xref ref-type="bibr" rid="B107">107</xref>)</td>
<td valign="top" align="left">Interacts with Spike at both DNA and mRNA</td>
<td valign="top" align="left">Transcription and translation</td>
<td valign="top" align="left">
<italic>S</italic> mRNA?/?</td>
</tr>
<tr>
<td valign="top" align="left">lincRNA</td>
<td valign="top" align="left">Long intergenic non-protein coding RNA 1505</td>
<td valign="top" align="left">
<italic>LINC1505</italic>
</td>
<td valign="top" align="left">Act in the circuitry controlling pluripotency and differentiation(<uri xlink:href="http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSM749287">www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSM749287</uri>)</td>
<td valign="top" align="left">Interacts with Spike at both DNA and mRNA</td>
<td valign="top" align="left">Transcription and translation</td>
<td valign="top" align="left">
<italic>S</italic> mRNA?/?</td>
</tr>
<tr>
<td valign="top" align="left">lncRNA</td>
<td valign="top" align="left">FOXA2-adjacent long non protein-coding RNA</td>
<td valign="top" align="left">
<italic>FALCOR</italic>
</td>
<td valign="top" align="left">Chronic peribronchial airway inflammation and goblet cell metaplasia (<xref ref-type="bibr" rid="B108">108</xref>)</td>
<td valign="top" align="left">Regulate <italic>FOXA2</italic> expression</td>
<td valign="top" align="left">Transcription</td>
<td valign="top" align="left">
<italic>FOXA2</italic> gene/?</td>
</tr>
<tr>
<td valign="top" align="left">lncRNA</td>
<td valign="top" align="left">HIF-1&#x3b1;-stabilizing lncRNA</td>
<td valign="top" align="left">
<italic>HISLA</italic>
</td>
<td valign="top" align="left">Glycolysis and chemoresistance of breast cancer (<xref ref-type="bibr" rid="B109">109</xref>)</td>
<td valign="top" align="left">Stabilizes HIF-1 &#x3b1; by binding to EGL1</td>
<td valign="top" align="left">Transcription</td>
<td valign="top" align="left">?/EGL1</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
</sec>
<sec id="s7">
<title>lncRNAs in Potential Prognosis in COVID-19</title>
<p>Also, in the case of autoimmunity in SARS-CoV-2-infected patients, some lncRNAs act through inflammatory pathways including TLR and NF-&#x3ba;B signaling (<xref ref-type="bibr" rid="B10">10</xref>). Approximately 15%&#x2013;20% of COVID-19 patients develop severe pneumonia and acute respiratory distress syndrome (ARDS). LncRNA GATA5 is elevated and positively correlated with severe COVID-19 (<xref ref-type="bibr" rid="B11">11</xref>). In another study, vitamin D receptor gene (<italic>VDR</italic>) expression was lower in COVID-19 patients compared with non-infected controls. Differences were not found with <italic>Linc00511</italic> or <italic>Linc00346</italic> (<xref ref-type="bibr" rid="B110">110</xref>). Also, DANCR (in lungs) and NEAT1 lncRNAs targeting microRNAs were associated with genes that differentiate mild from severe damage in SARS-CoV-2 (<xref ref-type="bibr" rid="B111">111</xref>).</p>
</sec>
<sec id="s8">
<title>LncRNAs in COVID-19 Diagnosis</title>
<p>Genotyping of SARS-CoV-2 has been very useful in monitoring both viral evolution and transmission during the COVID-19 pandemic (<xref ref-type="bibr" rid="B112">112</xref>). However, in a more practical and affordable way, alternative strategies have been developed to demonstrate the presence of the virus in the samples of suspected individuals. The most common methods to identify the presence/absence of SARS-CoV-2 is reverse transcription (RT)-PCR (sensitivity = 82.2%; specificity = 100%) (<xref ref-type="bibr" rid="B113">113</xref>). Additional strategies include RT loop-mediated isothermal amplification (without the need for RNA extraction) (sensitivity = 87.5%; specificity = 100%) (<xref ref-type="bibr" rid="B114">114</xref>) and deep learning computer-aided diagnosis (CAD) based on digital chest x-ray images (overall detection accuracy = 96.31%; classification accuracy = 97.40%) (<xref ref-type="bibr" rid="B115">115</xref>). Transcript level combination of cytochrome p450, subfamily XXVIIB, polypeptide 1 (<italic>CYP27B1</italic>), <italic>VDR</italic>, small nucleolar RNA host gene 16 (<italic>SNHG16</italic>), structural maintenance of chromosomes 3 (SMC3, formerly chondroitin sulfate proteoglycan 6 or <italic>CSHG6</italic>), <italic>Linc00511</italic>, and <italic>Linc00346</italic> could be a potential alternative method to COVID-19 diagnostics (sensitivity = 0.62; specificity = 0.81) (<xref ref-type="bibr" rid="B110">110</xref>).</p>
</sec>
<sec id="s9">
<title>LncRNAs as Potential Drug Targets in COVID-19</title>
<p>LncRNAs interactions with IFN in SARS-CoV-2 is an interesting research topic (<xref ref-type="bibr" rid="B15">15</xref>). The clotting alteration in COVID-19 may be related to inflammatory cytokines; thus, a better understanding of the cytokine regulation by lncRNAs will be helpful to understand this clinical phenotype and develop therapeutic targets to lncRNAs or molecules mimicking their function. Forty percent of known lncRNAs were found regulating different processes in the central nervous system (CNS) (<xref ref-type="bibr" rid="B15">15</xref>).</p>
<p>It has been suggested that lncRNAs can target and bind cytokine nucleotide sequences leading to downregulation of these cytokines. IFN-&#x3b1; is a common antiviral therapy in critically ill COVID-19 patients. Induction of <italic>MALAT1</italic> expression by viral infection promotes activation of interferon regulatory factor 3 (IRF3) and production of type I IFN (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5</bold>
</xref>). Inhibition of the excessive inflammation may be a useful complement to COVID-19 therapy. Potential approaches in the clinic include oligonucleotide knockdown, RNAi knockdown, and viral gene therapy interfering with gene transcription, protein translation, and extranuclear messengers (<xref ref-type="bibr" rid="B15">15</xref>). Furthermore, lncRNAs are spatially correlated with TFs across the genome as, e.g., the case of FOXA2-adjacent long non protein-coding RNA (lncRNA Falcor) that can regulate forkhead box A2 (<italic>FOXA2</italic>) expression. Alteration of the regulatory feedback loop of Falcor-FoxA2 leads to altered cell migration and adhesion, thus causing goblet cell metaplasia and chronic peribronchial airway inflammation (<xref ref-type="bibr" rid="B15">15</xref>). Also, IL-6, transforming growth factor, beta 1 (TGF-&#x3b2;1, formerly TGF-&#x3b2;), nucleotide oligomerization domain-like receptor family, pyrin domain-containing 3 (NLRP3) inflammasome, and cholinergic signaling have been proposed as potential targets in COVID-19 (<xref ref-type="bibr" rid="B15">15</xref>). In the cholinergic inhibition, <italic>DANCR</italic> was found to potentially regulate inflammation. The identification of dysregulated or altered lncRNAs during SARS-CoV-2 infection could be a strategy for mitigating symptoms in patients and to limit viral genome amplification enhancing the immune response (<xref ref-type="bibr" rid="B15">15</xref>). The most relevant lncRNAs during COVID-19 seem to be HOTAIR, FOXF1 adjacent non-coding developmental regulatory RNA (FENDRR, formerly FOXF1-AS1), LINC01505 (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>), and imprinted maternally expressed non-coding transcript (H19). Furthermore, FENDRR, HOTAIR, and LINC1505 potentially interact with the mRNA of spike protein (<xref ref-type="bibr" rid="B116">116</xref>). In macrophages, HIF-1&#x3b1;-stabilizing lncRNA (HISLA) regulates HIF-1&#x3b1; transcription factor by inhibition of its binding to EGL9 family hypoxia-inducible factor 1 protein (EGL1, formerly prolyl hydrolase domain-containing protein 2 or PHD2) (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>) (for an interaction network of SARS-CoV-2 proteins with human proteins, see <xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6</bold>
</xref>). This keeps continuous activation of an aerobic state in tumor cells. In the case of the treatment of COVID-19 using the strategy of an aptamer-siRNA chimera-mediated <italic>HISLA</italic> knockdown, this approach is promising but requires further investigation (<xref ref-type="bibr" rid="B15">15</xref>) (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5</bold>
</xref>).</p>
<fig id="f6" position="float">
<label>Figure&#xa0;6</label>
<caption>
<p>SARS-CoV2 -host protein interaction network. Viral proteins are shown in green boxes and human proteins are shown in blue boxes. Interactions between viral and human proteins are shown in the black lines. The figure was created in Cytoscape (<uri xlink:href="https://cytoscape.org/download.html">https://cytoscape.org/download.html</uri>).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fviro-02-849349-g006.tif"/>
</fig>
</sec>
<sec id="s10">
<title>Host lncRNAs from Endogenous Retroviruses</title>
<p>Human endogenous retroviruses [HERVs, reviewed in (<xref ref-type="bibr" rid="B117">117</xref>)] are transposable elements comprising &#x223d;10% of our genome and ranging from full-length proviruses to short gene fragments. HERVs are remnants of infectious exogenous retroviruses that became part of our DNA and now are inherited in a Mendelian manner. The HERV database [HERVd, <uri xlink:href="http://herv.img.cas.cz">http://herv.img.cas.cz</uri> (<xref ref-type="bibr" rid="B118">118</xref>)] contains 519,060 entities and 725,763 repeats of 582 different ERVs (accessed on March 3, 2022) that belong to 150 families. HERVs, working as Pathogen Associated Molecular Patterns (PAMPs), have become important parts of immune mechanisms to fight invading pathogens at least for dengue virus, herpes simplex viruses, influenza viruses, and HIV-1. Mechanisms used by ERVs are regulation of viral expression, enhancement of cellular sensing pathways, direct restriction of virion assembly, and blocking of entry receptors (<xref ref-type="bibr" rid="B117">117</xref>). Also, some ERVs are responsible for inserting proviruses in host genome facilitating infection and/or viral latency.</p>
<p>Host cells are armed with a variety of pattern recognition receptors (PRRs) that recognize nucleic acids from virus such as phospholipase A and acyltransferase 4 (PLAAT4, formerly retinoid acid-inducible gene 1or RIG-1) that recognizes 5&#xb4;-triphosphate RNA, interferon induced with helicase C domain 1 (formerly melanoma differentiation-associated protein 5 or MDA5) that recognizes double-stranded RNAs (dsRNA), toll-like receptors 7 and 8 (TLR7 and TLR8) that recognize single-stranded RNA (ssRNA), toll-like receptor 3 (TLR3) that recognizes both dsRNA and poly I:C, toll-like receptor 9 that recognizes CpG DNA and DNA-immunoglobulin (Ig) complexes, and DNA-dependent activator of IRFs (DAI) that recognizes double-stranded DNA (dsDNA) [reviewed in (<xref ref-type="bibr" rid="B119">119</xref>)].</p>
<p>One classic example of ERV is a murine lncRNA called lncRNA ERV-derived positively regulating antiviral responses (lnc-Epav). This lncRNA boosts antiviral gene expression by increasing levels of RelA, a subunit of NF-&#x3ba;B transcription factor. The way that lnc-EPAV works in <italic>RELA</italic> promoter is competitively binding and displacing the splicing factor, proline- and glutamine-rich (SFPQ, an inhibitor of <italic>RELA</italic> gene) (<xref ref-type="bibr" rid="B47">47</xref>) (<xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref>). Also, mice deficient in lnc-EPAV shows a reduced expression of type I interferons. In humans, the role of EPAV seems to be performed by interacting to MER9a2, LTR5A, and MLT2A1 HERVs. Results were concordant with a mouse model increasing levels of RELA in SFPQ knockdown human cells (<xref ref-type="bibr" rid="B47">47</xref>) (<xref ref-type="fig" rid="f7">
<bold>Figure&#xa0;7</bold>
</xref>).</p>
<table-wrap id="T3" position="float">
<label>Table&#xa0;3</label>
<caption>
<p>Selected lncRNAs of HERVs including their first report, known function, and nucleic acid/protein-binding partners.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Classification</th>
<th valign="top" align="center">Name</th>
<th valign="top" align="center">Symbol</th>
<th valign="top" align="center">First disease/assay reported </th>
<th valign="top" align="center">Function</th>
<th valign="top" align="center">Gene regulation layer</th>
<th valign="top" align="center">Nucleic acid/Protein binding Partners</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">lncRNA</td>
<td valign="top" align="left">Long non-coding ERV-derived positively regulated antiviral responses</td>
<td valign="top" align="left">
<italic>Lnc-EPAV</italic>
</td>
<td valign="top" align="left">Murine model of genome-wide profiling of ERV-derived lncRNA expression (<xref ref-type="bibr" rid="B47">47</xref>)</td>
<td valign="top" align="left">&#x2191; levels of RELA, &#x2191;expression of type I IFN</td>
<td valign="top" align="left">&#x2191;transcription</td>
<td valign="top" align="left">MER9a2, LTR5A and MLT2A1 HERVs/?</td>
</tr>
<tr>
<td valign="top" align="left">lncRNA</td>
<td valign="top" align="left">Long non-coding endogenous avian leukosis virus on chromosome 1-antisense 1</td>
<td valign="top" align="left">lnc-ALVE1-AS1</td>
<td valign="top" align="left">Primary chicken embryo fibroblast cells (CEFs) infected with avian tumor virus ALVJ</td>
<td valign="top" align="left">Induces a TLR3-dependent antiviral response</td>
<td valign="top" align="left">&#x2191;transcription</td>
<td valign="top" align="left">?/TLR3</td>
</tr>
<tr>
<td valign="top" align="left">lncRNA</td>
<td valign="top" align="left">V-raf murine sarcoma viral oncogene homolog B1 (BRAF)-regulated long non-coding RNA</td>
<td valign="top" align="left">Lnc-BANCR</td>
<td valign="top" align="left">Melanoma cell migration (<xref ref-type="bibr" rid="B120">120</xref>)</td>
<td valign="top" align="left">Pro-migratory for cells in the development of the heart in non-human primates (<xref ref-type="bibr" rid="B121">121</xref>), lung carcinoma, melanoma, gastric and bladder cancer (<xref ref-type="bibr" rid="B122">122</xref>)</td>
<td valign="top" align="left">Transcription</td>
<td valign="top" align="left">?/extracellular signal-regulated kinases &#xbd; (ERK1/2)c-Jun N-terminal kinase (JNK) (<xref ref-type="bibr" rid="B122">122</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">lncRNA</td>
<td valign="top" align="left">Long non-coding RNA TROJAN</td>
<td valign="top" align="left">Lnc-TROJAn</td>
<td valign="top" align="left">Breast cancer (BrCa) study</td>
<td valign="top" align="left">Proliferate state of BrCa</td>
<td valign="top" align="left">DNA replication/mitosis</td>
<td valign="top" align="left">?/?</td>
</tr>
</tbody>
</table>
</table-wrap>
<fig id="f7" position="float">
<label>Figure&#xa0;7</label>
<caption>
<p>The participation of host lncRNAs from endogenous retroviruses (ERVs). ERVs are remnants of infectious exogenous retroviruses that became fixed in the DNA. In the figure, the lncRNAs that induce an increase are shown with the indicator (&#x2191;). Figure was designed in Biorender by AVRR (<uri xlink:href="https://biorender.com/">https://biorender.com/</uri>).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fviro-02-849349-g007.tif"/>
</fig>
<p>Another example of interaction with the immune response is the long non-coding endogenous avian leukosis virus on chromosome 1-antisense 1 (lnc-ALVE1-AS1), transcribed from <italic>ALVE1</italic> gene, that can activate or bind to the Toll-like receptor 3 (TLR3) inducing an antiviral innate immune response (<xref ref-type="bibr" rid="B123">123</xref>) (<xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref> and <xref ref-type="fig" rid="f7">
<bold>Figure&#xa0;7</bold>
</xref>).</p>
<p>The lncRNAs related to HERVs have also been associated with functions in tissue growth, as in the case of V-raf murine sarcoma viral oncogene homolog B1 (BRAF)-regulated long non-coding RNA (BANCR), related to pro-migratory functions necessary in the development of the heart in humans and primates (<xref ref-type="bibr" rid="B121">121</xref>) (<xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref>). This relationship with different tissues has also been analyzed with different types of cancer. In addition, lncRNA TROJAN is known to be involved in the proliferative state of breast cancer (BrCa) cells (<xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref>). By reducing TROJAN expression, the proliferative potential <italic>in vitro</italic> is prevented, so this could reduce tumor volume and be a therapeutic target in the future (<xref ref-type="bibr" rid="B124">124</xref>). Even when these examples are in cancer, the similar cell cycle alterations with viral infection lead to hypothesize about a potential role of these HERVs in HIV/AIDS and/or COVID-19. Nevertheless, the importance of ERVs to antiviral immune response is becoming clear (<xref ref-type="bibr" rid="B47">47</xref>, <xref ref-type="bibr" rid="B117">117</xref>); further basic and applied research is needed in this area.</p>
</sec>
<sec id="s11">
<title>Concluding Remarks</title>
<p>LncRNAs modulate both growth and viral replication as well as type I IFN expression mainly by stability regulation and interaction with mRNAs and proteins. The most relevant transcription factors that are regulated by lncRNAs are TP53, CTCF, MYC, SOX2, EZH2, SFPQ, and SUZ12 (<xref ref-type="bibr" rid="B125">125</xref>). In addition, lncRNAs seem to control the effector function of genes and peptides such as STAT1, STAT3, NF-&#x3ba;B, and IRFs and of many TFs, whose interactions remain to be discovered. The modulation of lncRNAs might regulate these transcription factors at both protein levels and at nucleotide motifs/structures. The key targeted potential therapies for SARS-Cov2 involve interfering gene transcription messengers and protein translation (<xref ref-type="bibr" rid="B15">15</xref>). Even when there are several questions to be solved, e.g., whether the cytokine storm activates ERVs in response to SARS-CoV-2 infection in COVID-19 (as is true for viral lncRNAs), a better understanding of how lncRNAs regulate gene expression in a cell/tissue specific manner by interactions with mRNAs, these new therapeutic targets and biomarkers hold promise for the treatment and risk stratification of patients with HIV/AIDS and COVID-19.</p>
<p>In addition, a promising area of research is to catalog and interpret the polymorphisms, mutations, and indels in lncRNAs (<xref ref-type="bibr" rid="B126">126</xref>, <xref ref-type="bibr" rid="B127">127</xref>), as well as their epitranscriptomic modifications (<xref ref-type="bibr" rid="B128">128</xref>&#x2013;<xref ref-type="bibr" rid="B130">130</xref>) with ethnic and cell/tissue specificity. As an example of this, our group reported that the regulatory SNP (rSNP) rs5743417, which is common in African and Afro-Americans, causes a 33% transcription downregulation in the constitutively expressed gene human &#x3b2;-defensin 1 (<italic>DEFB1</italic>) in the A549 pulmonary epithelial cell line (<xref ref-type="bibr" rid="B131">131</xref>). <italic>DEFB1</italic> is a primordial gene of innate immunity involved in the defense against viruses [reviewed in (<xref ref-type="bibr" rid="B132">132</xref>)] including HIV-1 (<xref ref-type="bibr" rid="B133">133</xref>). In addition, hBD-1 peptide has other functions as well [reviewed in (<xref ref-type="bibr" rid="B134">134</xref>, <xref ref-type="bibr" rid="B135">135</xref>)]. Interestingly, SNP rs5743417 overlaps with <italic>GS1-24F4.2</italic>, a lincRNA gene complementary to the X Kell blood-related 5 (<italic>XKR5</italic>) mRNA. <italic>GS1-24F4.2</italic> has a testis-specific expression that could shed light on male infertility associated with COVID-19 (<xref ref-type="bibr" rid="B136">136</xref>). Results like these increase the difficulty of interpretation of genetic variants at different regulation layers but at the same time open new opportunities to dissect both molecular and clinical impact of polymorphisms, whose interpretation in the light of functional genomics remained elusive in the past decades. In general, the integral impact of rSNPs could be explained (a) by the fact that SNPs could alter transcription factor binding sites (TFBS) mainly in promoters or enhancers (<xref ref-type="bibr" rid="B137">137</xref>), thus causing an up- or downregulation (<xref ref-type="bibr" rid="B131">131</xref>); (b) by the fact that SNPs can create novel TFBS (<xref ref-type="bibr" rid="B138">138</xref>) and thus modify homeostatic gene expression pathways; (c) by altering the normal structural and/or sponging function of lncRNAs (<xref ref-type="bibr" rid="B54">54</xref>); and (d) probably by indirectly introducing variations in the epitranscriptome.</p>
<p>With no doubt, lncRNAs research is coming of age. These novel drugs inspired by host- and viral-encoded lncRNA have the potential to reduce the burden of HIV/AIDS and COVID-19 twofold: (1) by increasing their efficacy and (2) by minimizing the side effects by modulating gene transcription instead of the more traditional approaches such as complete silencing, knockout/editing of genes, non-selective DNA methylation, or blockade/neutralization of host peptides and proteins. We expect that a new generation of lncRNAs could modulate human and viral transcription in a more specific and unprecedented way but still maintaining homeostasis below the pathogenic threshold.</p>
</sec>
<sec id="s12" sec-type="author-contributions">
<title>Author Contributions</title>
<p>AVRR: writing&#x2014;original draft preparation and figures. EMP: writing and editing manuscript and tables. All authors contributed to the article and approved the submitted version.</p>
</sec>
<sec id="s13" sec-type="COI-statement">
<title>Conflict of Interest</title>
<p>EP has a granted patent that protects a small molecule (and its synthesis and purification) that induces <italic>DEFB1</italic> transcription. This synthetic molecule could be applied as therapy for viral diseases including but not limited to HIV/AIDS and COVID-19. This patent is property of CIATEJ.</p>
<p>The remaining author declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="s14" 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>Thanks to the reviewers for their useful comments. AR is a Scholarship recipient of the Doctorate Program in Human Genetics, Guadalajara University/CIBO-IMSS, CONACYT. EP is a SNI-CONACYT Fellow since 2009.</p>
</ack>
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