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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.2021.632119</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Immunology</subject>
<subj-group>
<subject>Systematic Review</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Adjunct Therapy for CD4<sup>&#x0002B;</sup> T-Cell Recovery, Inflammation and Immune Activation in People Living With HIV: A Systematic Review and Meta-Analysis</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Zhang</surname> <given-names>Yang</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="aff" rid="aff3"><sup>3</sup></xref>
<xref ref-type="author-notes" rid="fn002"><sup>&#x02020;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/621805/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Jiang</surname> <given-names>Taiyi</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="author-notes" rid="fn002"><sup>&#x02020;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/591620/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Li</surname> <given-names>Aixin</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="author-notes" rid="fn002"><sup>&#x02020;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1208479/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Li</surname> <given-names>Zhen</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Hou</surname> <given-names>Jianhua</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="http://loop.frontiersin.org/people/311203/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Gao</surname> <given-names>Meixia</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Huang</surname> <given-names>Xiaojie</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Su</surname> <given-names>Bin</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="http://loop.frontiersin.org/people/123175/overview"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Wu</surname> <given-names>Hao</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="corresp" rid="c001"><sup>&#x0002A;</sup></xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Zhang</surname> <given-names>Tong</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="corresp" rid="c002"><sup>&#x0002A;</sup></xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Jiang</surname> <given-names>Wei</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
<xref ref-type="corresp" rid="c003"><sup>&#x0002A;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/107606/overview"/>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>Center for Infectious Diseases, Beijing YouAn Hospital, Capital Medical University</institution>, <addr-line>Beijing</addr-line>, <country>China</country></aff>
<aff id="aff2"><sup>2</sup><institution>Beijing Key Laboratory of AIDS Research</institution>, <addr-line>Beijing</addr-line>, <country>China</country></aff>
<aff id="aff3"><sup>3</sup><institution>Department of Microbiology and Immunology, Medical University of South Carolina</institution>, <addr-line>Charleston, SC</addr-line>, <country>United States</country></aff>
<aff id="aff4"><sup>4</sup><institution>Division of Infectious Diseases, Department of Medicine, Medical University of South Carolina</institution>, <addr-line>Charleston, SC</addr-line>, <country>United States</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Serge Benichou, Centre National de la Recherche Scientifique (CNRS), France</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Suresh Pallikkuth, University of Miami, United States; Anthony Jaworowski, RMIT University, Australia</p></fn>
<corresp id="c001">&#x0002A;Correspondence: Hao Wu <email>whdoc&#x00040;ccmu.edu.cn</email></corresp>
<corresp id="c002">Tong Zhang <email>zt_doc&#x00040;ccmu.edu.cn</email></corresp>
<corresp id="c003">Wei Jiang <email>jianw&#x00040;musc.edu</email></corresp>
<fn fn-type="other" id="fn001"><p>This article was submitted to Viral Immunology, a section of the journal Frontiers in Immunology</p></fn>
<fn fn-type="other" id="fn002"><p>&#x02020;These authors have contributed equally to this work</p></fn></author-notes>
<pub-date pub-type="epub">
<day>17</day>
<month>02</month>
<year>2021</year>
</pub-date>
<pub-date pub-type="collection">
<year>2021</year>
</pub-date>
<volume>12</volume>
<elocation-id>632119</elocation-id>
<history>
<date date-type="received">
<day>22</day>
<month>11</month>
<year>2020</year>
</date>
<date date-type="accepted">
<day>22</day>
<month>01</month>
<year>2021</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x000A9; 2021 Zhang, Jiang, Li, Li, Hou, Gao, Huang, Su, Wu, Zhang and Jiang.</copyright-statement>
<copyright-year>2021</copyright-year>
<copyright-holder>Zhang, Jiang, Li, Li, Hou, Gao, Huang, Su, Wu, Zhang and Jiang</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><bold>Background:</bold> HIV infection results in immune homeostasis perturbations, which is characterized by CD4<sup>&#x0002B;</sup> T-cell depletion, immune activation, and inflammation. Effective antiretroviral therapy (ART) does not fully restore immunologic and clinical health in people living with HIV (PLWH). Various drugs have been used to improve their immune status and CD4<sup>&#x0002B;</sup> T-cell counts, but no measures have been tested effective. Here we conduct a systematic review and meta-analysis of existing clinical studies on improving CD4<sup>&#x0002B;</sup> T-cell count while decreasing inflammation and immune activation.</p>
<p><bold>Methods:</bold> We retrieved possible relevant publications from a total of five electronic databases and selected eligible studies, which dealt with outcomes of medical therapy for CD4<sup>&#x0002B;</sup> T-cell count recovery, inflammation, and immune activation with or without ART. We paid particular attention to immunologic non-responders with a favorable treatment regimen.</p>
<p><bold>Results:</bold> Thirty-three articles were included in the systematic review and meta-analysis. However, there were no safe and effective medications specific for improving CD4<sup>&#x0002B;</sup> T-cell reconstitution. The immunological benefits or adverse events mainly depend on the safety, dosage, and duration of the candidate medication use, as well as whether it is combined with ART.</p>
<p><bold>Conclusion:</bold> Under the &#x0201C;safe, combined, adequate and long (SCAL)&#x0201D; principles, alternative approaches are needed to accelerate the recovery of CD4<sup>&#x0002B;</sup> T-cells, and to prevent adverse long-term outcomes in PLWH with standard ART treatment.</p></abstract>
<kwd-group>
<kwd>CD4<sup>&#x0002B;</sup> T-cell</kwd>
<kwd>immune activation</kwd>
<kwd>inflammation</kwd>
<kwd>immunologic non-responder</kwd>
<kwd>people living with HIV</kwd>
<kwd>adjunct therapy</kwd>
</kwd-group>
<counts>
<fig-count count="2"/>
<table-count count="1"/>
<equation-count count="0"/>
<ref-count count="48"/>
<page-count count="10"/>
<word-count count="7092"/>
</counts>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="s1">
<title>Introduction</title>
<p>Since 1996, the morbidity and mortality of HIV-related diseases were dramatically declined by the wide use of antiretroviral therapy (ART) (<xref ref-type="bibr" rid="B1">1</xref>). ART is a standardized combination of several anti-HIV drugs (<xref ref-type="bibr" rid="B1">1</xref>), being classified as etiological therapy. Theoretically, treatment-experienced people living with HIV (PLWH) persistently suppress the HIV viral load, and their CD4<sup>&#x0002B;</sup> T-cell counts increase gradually. However, PLWH fail to achieve normalization of CD4<sup>&#x0002B;</sup> T-cell counts despite persistent blood virological suppression, especially in immunological non-responder (INR, usually defined as PLWH under ART with viremia and CD4<sup>&#x0002B;</sup> T-cell counts &#x0003C; 350/&#x003BC;l in the blood) showing severe immunological dysfunction (<xref ref-type="bibr" rid="B2">2</xref>). This immunological dysfunction involves chronic immune activation and systemic inflammation (<xref ref-type="bibr" rid="B3">3</xref>), and is thought to contribute not only to HIV disease progression, but also to mortality and emerging non-AIDS morbidity (<xref ref-type="bibr" rid="B4">4</xref>, <xref ref-type="bibr" rid="B5">5</xref>). To date, there is still a lack of effective adjunct medical therapy to further enhance CD4<sup>&#x0002B;</sup> T-cell counts for PLWH, including INRs.</p>
<p>For over two decades, researchers have tested multiple medication candidates to recover CD4<sup>&#x0002B;</sup> T-cell count. Montaner et al. have assessed the effect of hydroxyurea in PLWH in 1997; However, the CD4<sup>&#x0002B;</sup> T-cell counts did not change significantly; or even significantly decreased during the washout phase (<xref ref-type="bibr" rid="B6">6</xref>). Because the level of immune activation and inflammation were independently associated with the subsequent rate of CD4<sup>&#x0002B;</sup> T-cell losses (<xref ref-type="bibr" rid="B7">7</xref>, <xref ref-type="bibr" rid="B8">8</xref>), the immunomodulators or immunosuppressants such as glucocorticoid (<xref ref-type="bibr" rid="B9">9</xref>) and cyclosporine (<xref ref-type="bibr" rid="B10">10</xref>), may be beneficial to PLWH or INRs. In recent years, PLWH may have more benefits by &#x0201C;early treatment&#x0201D; (<xref ref-type="bibr" rid="B11">11</xref>), and they will not go through the process from immunological destruction to reconstruction, which means that INRs may be fewer and fewer. However, although their CD4<sup>&#x0002B;</sup> T-cell count was high, it did not reach normalization (<xref ref-type="bibr" rid="B1">1</xref>). Besides, ART does not eliminate inflammation and immune activation (<xref ref-type="bibr" rid="B4">4</xref>, <xref ref-type="bibr" rid="B5">5</xref>), so researchers have paid more attention to other traditionally non-AIDS-related morbidities (<xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B13">13</xref>). In other words, hypertension, hyperglycemia, and hyperlipidemia may be similar to the low CD4<sup>&#x0002B;</sup> T-cell count, which may be the adverse consequences of inflammation and immune activation. Besides, some candidate drugs also show anti-inflammatory and inhibitory effects on excessive immune activation in the general population. Take rosuvastatin (<xref ref-type="bibr" rid="B14">14</xref>) and sitagliptin (<xref ref-type="bibr" rid="B15">15</xref>) as examples, scientists hypothesized that the CD4<sup>&#x0002B;</sup> T-cell recovery over time could be explained by the improved use of non-HIV-specific preventive interventions. Unfortunately, even though some candidates could reduce immune activation or chronic inflammation to varying degrees, they cannot directly increase CD4<sup>&#x0002B;</sup> T-cell count recovery, and the mechanisms underlying these candidates are far from known.</p>
<p>Therefore, we searched and summarized the literature on the case-control study of medication-assisted treatment of CD4<sup>&#x0002B;</sup> T-cell count recovery. The second aim was to summarize biomarkers of inflammation and immune activation in PLWH. An intervention that decreased immune activation or inflammation or both in PLWH might therefore be beneficial. Besides, for CD4<sup>&#x0002B;</sup> T-cell count recovery in INRs, we separately analyzed articles related to incomplete immune reconstitution in PLWHs. We hope to put forward the therapeutic principle of adjunct therapy for CD4<sup>&#x0002B;</sup> T-cell recovery, and provide a basis for further searching for an inexpensive, safe, and well-tolerated candidate intervention.</p></sec>
<sec sec-type="methods" id="s2">
<title>Methods</title>
<p>The protocol in this study has been deposited and registered in the PROSPERO database (CRD42020210393).</p>
<sec>
<title>Participants</title>
<p>Adult PLWH with or without ART.</p></sec>
<sec>
<title>Interventions</title>
<p>Any auxiliary medicine treatment in junction with or without ART, but not including inaccurate dose or non-drug treatment studies (e.g., immunotherapy and cell therapy).</p></sec>
<sec>
<title>Comparators</title>
<p>PLWH with or without ART &#x0002B; adjunct treatment vs. PLWH with or without ART (placebo or blank control).</p></sec>
<sec>
<title>Search Strategy</title>
<p>Searches were limited to data published before February 29, 2020 using a combination of population-related terms (HIV OR AIDS), immunology-related terms (&#x0201C;immune reconstitution&#x0201D; OR &#x0201C;CD4<sup>&#x0002B;</sup> T-cell recovery&#x0201D;), and treatment-related terms (treatment OR therapy). All searches were limited to peer-reviewed journal articles in English.</p></sec>
<sec>
<title>Data Sources</title>
<p>Comprehensive searches were conducted in PubMed, Web of Science, and Cochrane library. Besides, Google Scholar and GeenMedical were used as supplementary sources.</p></sec>
<sec>
<title>Studies Sections and Data Extraction</title>
<p>We included [1] studies conducted in PLWH; [2] any auxiliary medicine treatment in junction with or without ART treatment; [3] studies with at least two groups (adjunct therapy group vs. control group) including randomized controlled trials (RCT) and non-RCTs; (<xref ref-type="bibr" rid="B4">4</xref>) the results of the research which should include the CD4<sup>&#x0002B;</sup> T-cell count; and (<xref ref-type="bibr" rid="B5">5</xref>) articles were written in English and excluded those studies without peer-review process, case reports, theoretic studies, conference abstracts and samples overlapped with the other included studies. We also excluded studies that did not include accurate doses (e.g., probiotics/prebiotics, fish oil, and chocolate) and non-drug treatment studies (e.g., immunotherapy and cell therapy). Two authors (Yang Zhang and Taiyi Jiang) used an Excel spreadsheet to independently screen for eligibility.</p>
<p>Two authors (Yang Zhang and Jianhua Hou) used an Excel spreadsheet to independently extract data from each study. The opinions on the included data were resolved by consensus after consulting a 3rd reviewer (Aixin Li). The summary statistics of each outcome were means, standard deviations (SD), and the number of participants. We also coded the mean change and SD of mean change if necessary. Related information from other studies was coded for use as well.</p></sec>
<sec>
<title>Data Analysis</title>
<p>We considered using meta-analytical methods when three or more studies with the same treatment, or systematic review was used to summarize the results.</p>
<p>For the meta-analysis, random-effect models were adopted to estimate the pooled estimation of effect sizes. The variation in effect sizes across studies was assessed by the Cochrane Q with a threshold of <italic>P</italic> &#x0003C; 0.1. The <italic>I</italic><sup>2</sup> statistic was calculated to estimate the proportion of true heterogeneity in observed variance. The funnel plot and Egger&#x00027;s regression intercept test were used to estimate publication bias. If the <italic>P</italic>-value for Egger&#x00027;s test is larger than 0.1, publication bias exists, and we should draw cautious conclusions. Besides, we calculated Egger&#x00027;s test only if three or more comparisons are included in specific outcomes.</p>
<p>For the systematic review, we grouped our results classified by types of treatment. The outcomes of interest were changes in CD4<sup>&#x0002B;</sup> T-cell count, viral load, other immune system biomarkers such as inflammation or immune activation, and medical side effects.</p></sec></sec>
<sec sec-type="results" id="s3">
<title>Results</title>
<sec>
<title>Study Selection and Characteristics</title>
<p>Our literature searches returned 29,556 records, including 11,263 in the web of science, 7,293 in Pubmed, and 11,000 in Embase. After duplicates removal, 15,521 studies were remained. Of these, 14,447 were excluded during the title and abstract screening, leaving 174 publications for full-text evaluation. Of these, 141 were excluded for various reasons after full-text review, as detailed in the flow chart. Thirty-three studies were included in the final review (<xref ref-type="fig" rid="F1">Figure 1</xref>, <xref ref-type="table" rid="T1">Table 1</xref>).</p>
<fig id="F1" position="float">
<label>Figure 1</label>
<caption><p>A flow diagram of the studies retrieved for the review.</p></caption>
<graphic xlink:href="fimmu-12-632119-g0001.tif"/>
</fig>
<table-wrap position="float" id="T1">
<label>Table 1</label>
<caption><p>Characteristic of included articles.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th valign="top" align="left"><bold>First author</bold></th>
<th valign="top" align="center"><bold>Publication year</bold></th>
<th valign="top" align="left"><bold>Design</bold></th>
<th valign="top" align="left"><bold>Number of participants</bold></th>
<th valign="top" align="left"><bold>ART</bold></th>
<th valign="top" align="left"><bold>Adjunct therapy</bold></th>
<th valign="top" align="left"><bold>Drug usage</bold></th>
<th valign="top" align="left"><bold>Duration of medication use</bold></th>
<th valign="top" align="left"><bold>Relevant outcome measures</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Rusconi (<xref ref-type="bibr" rid="B18">18</xref>)</td>
<td valign="top" align="center">2010</td>
<td valign="top" align="left">RCT</td>
<td valign="top" align="left">47 vs. 50<xref ref-type="table-fn" rid="TN1"><sup>a</sup></xref></td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="left">Maraviroc</td>
<td valign="top" align="left">300 mg, twice daily</td>
<td valign="top" align="left">48 weeks</td>
<td valign="top" align="left">CD4<sup>&#x0002B;</sup> T-cell count, IL-7, CD38, and HLA-DR</td>
</tr>
<tr>
<td valign="top" align="left">Hunt (<xref ref-type="bibr" rid="B16">16</xref>)</td>
<td valign="top" align="center">2013</td>
<td valign="top" align="left">RCT</td>
<td valign="top" align="left">23 vs. 22<xref ref-type="table-fn" rid="TN1"><sup>a</sup></xref></td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="left">Maraviroc</td>
<td valign="top" align="left">300 mg, twice daily</td>
<td valign="top" align="left">24 weeks</td>
<td valign="top" align="left">CD4<sup>&#x0002B;</sup> T-cell count, soluble CD14, LPS, CD38, and HLA-DR</td>
</tr>
<tr>
<td valign="top" align="left">Minami (<xref ref-type="bibr" rid="B17">17</xref>)</td>
<td valign="top" align="center">2017</td>
<td valign="top" align="left">Observational research</td>
<td valign="top" align="left">18 vs. 14<xref ref-type="table-fn" rid="TN1"><sup>a</sup></xref></td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="left">Maraviroc</td>
<td valign="top" align="left">300 mg, twice daily</td>
<td valign="top" align="left">24 weeks</td>
<td valign="top" align="left">CD4<sup>&#x0002B;</sup> T-cell count, IFN-&#x003B3;</td>
</tr>
<tr>
<td valign="top" align="left">McComsey (<xref ref-type="bibr" rid="B9">9</xref>)</td>
<td valign="top" align="center">2001</td>
<td valign="top" align="left">RCT</td>
<td valign="top" align="left">20 vs. 21<xref ref-type="table-fn" rid="TN1"><sup>a</sup></xref></td>
<td valign="top" align="left">Yes<xref ref-type="table-fn" rid="TN2"><sup>b</sup></xref></td>
<td valign="top" align="left">Prednisone</td>
<td valign="top" align="left">0.5 mg/kg, once daily</td>
<td valign="top" align="left">8 weeks</td>
<td valign="top" align="left">CD4<sup>&#x0002B;</sup> T-cell count, IL-6 TNF-&#x003B1;, and CD38</td>
</tr>
<tr>
<td valign="top" align="left">Kasang (<xref ref-type="bibr" rid="B19">19</xref>)</td>
<td valign="top" align="center">2012</td>
<td valign="top" align="left">Observational research</td>
<td valign="top" align="left">27 vs. 31 vs. 30 vs. 13<xref ref-type="table-fn" rid="TN3"><sup>c</sup></xref></td>
<td valign="top" align="left">Yes/No</td>
<td valign="top" align="left">Prednisolone</td>
<td valign="top" align="left">5 mg, once daily</td>
<td valign="top" align="left">N.A.</td>
<td valign="top" align="left">CD4<sup>&#x0002B;</sup> T-cell count, soluble CD14, LPS binding protein, suPAR, soluble CD40L, and CD38</td>
</tr>
<tr>
<td valign="top" align="left">Kasang (<xref ref-type="bibr" rid="B20">20</xref>)</td>
<td valign="top" align="center">2016</td>
<td valign="top" align="left">RCT</td>
<td valign="top" align="left">13 vs. 24</td>
<td valign="top" align="left">No</td>
<td valign="top" align="left">Prednisolone</td>
<td valign="top" align="left">5 mg, once daily</td>
<td valign="top" align="left">2 years</td>
<td valign="top" align="left">CD4<sup>&#x0002B;</sup> T-cell count, soluble CD14, suPAR, CD38, and HLA-DR</td>
</tr>
<tr>
<td valign="top" align="left">Rizzardi (<xref ref-type="bibr" rid="B10">10</xref>)</td>
<td valign="top" align="center">2002</td>
<td valign="top" align="left">Non-RCT</td>
<td valign="top" align="left">9 vs. 29</td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="left">Cyclosporine</td>
<td valign="top" align="left">0.3&#x0007E;0.6 mg/kg, twice daily</td>
<td valign="top" align="left">8 weeks</td>
<td valign="top" align="left">CD4<sup>&#x0002B;</sup> T-cell count and IFN-&#x003B3;</td>
</tr>
<tr>
<td valign="top" align="left">Lederman (<xref ref-type="bibr" rid="B21">21</xref>)</td>
<td valign="top" align="center">2006</td>
<td valign="top" align="left">RCT</td>
<td valign="top" align="left">22 vs. 20</td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="left">Cyclosporine</td>
<td valign="top" align="left">4 mg/kg, twice daily</td>
<td valign="top" align="left">2 weeks</td>
<td valign="top" align="left">CD4<sup>&#x0002B;</sup> T-cell count and CD38</td>
</tr>
<tr>
<td valign="top" align="left">Markowitz (<xref ref-type="bibr" rid="B22">22</xref>)</td>
<td valign="top" align="center">2010</td>
<td valign="top" align="left">RCT</td>
<td valign="top" align="left">28 vs. 13</td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="left">Cyclosporine</td>
<td valign="top" align="left">0.3 mg/kg, once daily</td>
<td valign="top" align="left">4 weeks</td>
<td valign="top" align="left">CD4<sup>&#x0002B;</sup> T-cell count, CD38 and HLA-DR</td>
</tr>
<tr>
<td valign="top" align="left">Murray (<xref ref-type="bibr" rid="B23">23</xref>)</td>
<td valign="top" align="center">2010</td>
<td valign="top" align="left">RCT</td>
<td valign="top" align="left">6 vs. 3 vs. 4<xref ref-type="table-fn" rid="TN4"><sup>d</sup></xref></td>
<td valign="top" align="left">No</td>
<td valign="top" align="left">Chloroquine</td>
<td valign="top" align="left">250 mg/500 mg, once daily</td>
<td valign="top" align="left">2 months</td>
<td valign="top" align="left">CD4<sup>&#x0002B;</sup> T-cell count, LPS, CD38, and HLA-DR</td>
</tr>
<tr>
<td valign="top" align="left">Jacobson (<xref ref-type="bibr" rid="B24">24</xref>)</td>
<td valign="top" align="center">2016</td>
<td valign="top" align="left">RCT</td>
<td valign="top" align="left">16 vs. 17 vs. 18 vs. 19<xref ref-type="table-fn" rid="TN5"><sup>e</sup></xref></td>
<td valign="top" align="left">No</td>
<td valign="top" align="left">Chloroquine</td>
<td valign="top" align="left">250 mg, once daily</td>
<td valign="top" align="left">13 weeks</td>
<td valign="top" align="left">CD4<sup>&#x0002B;</sup> T-cell count, CD38, and HLA-DR</td>
</tr>
<tr>
<td valign="top" align="left">Paton (<xref ref-type="bibr" rid="B7">7</xref>)</td>
<td valign="top" align="center">2012</td>
<td valign="top" align="left">RCT</td>
<td valign="top" align="left">42 vs. 41</td>
<td valign="top" align="left">No</td>
<td valign="top" align="left">Hydroxychloroquine</td>
<td valign="top" align="left">400 mg, once daily</td>
<td valign="top" align="left">48 weeks</td>
<td valign="top" align="left">CD4<sup>&#x0002B;</sup> T-cell count, CD38, and HLA-DR</td>
</tr>
<tr>
<td valign="top" align="left">Funderburg (<xref ref-type="bibr" rid="B14">14</xref>)</td>
<td valign="top" align="center">2015</td>
<td valign="top" align="left">RCT</td>
<td valign="top" align="left">72 vs. 75</td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="left">Rosuvastatin</td>
<td valign="top" align="left">10 mg, once daily</td>
<td valign="top" align="left">48 weeks</td>
<td valign="top" align="left">CD4<sup>&#x0002B;</sup> T-cell count, soluble CD14, soluble CD163, IL-6, soluble receptors of TNF-&#x003B1;, IP-10, VCAM-1, soluble intercellular adhesion molecule 1, D-dimer, fibrinogen, CD38, and HLA-DR</td>
</tr>
<tr>
<td valign="top" align="left">Weijma (<xref ref-type="bibr" rid="B25">25</xref>)</td>
<td valign="top" align="center">2016</td>
<td valign="top" align="left">RCT</td>
<td valign="top" align="left">13 vs. 15</td>
<td valign="top" align="left">No</td>
<td valign="top" align="left">Rosuvastatin</td>
<td valign="top" align="left">20 mg, once daily</td>
<td valign="top" align="left">8 weeks</td>
<td valign="top" align="left">CD4<sup>&#x0002B;</sup> T-cell count, neopterin, soluble TLR2, soluble TLR4, IL-6, IL-1Ra, IL-18, D-dimer, CRP, CD38, and HLA-DR</td>
</tr>
<tr>
<td valign="top" align="left">Nakanjako (<xref ref-type="bibr" rid="B26">26</xref>)</td>
<td valign="top" align="center">2015</td>
<td valign="top" align="left">RCT</td>
<td valign="top" align="left">15 vs. 15<xref ref-type="table-fn" rid="TN1"><sup>a</sup></xref></td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="left">Atorvastatin</td>
<td valign="top" align="left">80 mg, once daily</td>
<td valign="top" align="left">12 weeks</td>
<td valign="top" align="left">CD4<sup>&#x0002B;</sup> T-cell count, CD38, and HLA-DR</td>
</tr>
<tr>
<td valign="top" align="left">Best (<xref ref-type="bibr" rid="B27">27</xref>)</td>
<td valign="top" align="center">2015</td>
<td valign="top" align="left">RCT</td>
<td valign="top" align="left">18 vs. 20</td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="left">Sitagliptin</td>
<td valign="top" align="left">100 mg, once daily</td>
<td valign="top" align="left">8 weeks</td>
<td valign="top" align="left">CRP, C-X-C motif chemokine 10, MCP-1, EGF-like modulecontaining, mucin-like hormone receptor 1</td>
</tr>
<tr>
<td valign="top" align="left">Dub&#x000E9; (<xref ref-type="bibr" rid="B15">15</xref>)</td>
<td valign="top" align="center">2019</td>
<td valign="top" align="left">RCT</td>
<td valign="top" align="left">42 vs. 42</td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="left">Sitagliptin</td>
<td valign="top" align="left">100 mg, once daily</td>
<td valign="top" align="left">16 weeks</td>
<td valign="top" align="left">CD4<sup>&#x0002B;</sup> T-cell count and soluble CD14</td>
</tr>
<tr>
<td valign="top" align="left">Hunt (<xref ref-type="bibr" rid="B29">29</xref>)</td>
<td valign="top" align="center">2011</td>
<td valign="top" align="left">RCT</td>
<td valign="top" align="left">14 vs. 16<xref ref-type="table-fn" rid="TN1"><sup>a</sup></xref></td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="left">Valganciclovir</td>
<td valign="top" align="left">900 mg, once daily</td>
<td valign="top" align="left">8 weeks</td>
<td valign="top" align="left">CD4<sup>&#x0002B;</sup> T-cell count, CD38, and HLA-DR</td>
</tr>
<tr>
<td valign="top" align="left">Yi (<xref ref-type="bibr" rid="B28">28</xref>)</td>
<td valign="top" align="center">2013</td>
<td valign="top" align="left">RCT</td>
<td valign="top" align="left">20 vs. 20 vs. 20<xref ref-type="table-fn" rid="TN6"><sup>f</sup></xref></td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="left">Valacyclovir</td>
<td valign="top" align="left">500 mg/1 g, twice daily</td>
<td valign="top" align="left">12 weeks</td>
<td valign="top" align="left">CD4<sup>&#x0002B;</sup> T-cell count</td>
</tr>
<tr>
<td valign="top" align="left">Missailidis (<xref ref-type="bibr" rid="B30">30</xref>)</td>
<td valign="top" align="center">2019</td>
<td valign="top" align="left">RCT</td>
<td valign="top" align="left">81 vs. 86</td>
<td valign="top" align="left">No</td>
<td valign="top" align="left">Vitamin D3 and phenylbutyrate</td>
<td valign="top" align="left">5000 IU vitamin D3 and 500 mg phenylbutyrate, once daily</td>
<td valign="top" align="left">16 weeks</td>
<td valign="top" align="left">CD4<sup>&#x0002B;</sup> T-cell count, soluble CD14, antimicrobial peptide LL-37, kynurenine/tryptophan-ratio</td>
</tr>
<tr>
<td valign="top" align="left">Ashenafi (<xref ref-type="bibr" rid="B31">31</xref>)</td>
<td valign="top" align="center">2019</td>
<td valign="top" align="left">RCT</td>
<td valign="top" align="left">95 vs. 102</td>
<td valign="top" align="left">No</td>
<td valign="top" align="left">Vitamin D3 and phenylbutyrate</td>
<td valign="top" align="left">5000 IU vitamin D3 and 1,000 mg phenylbutyrate, once daily</td>
<td valign="top" align="left">16 weeks</td>
<td valign="top" align="left">CD4<sup>&#x0002B;</sup> T-cell count</td>
</tr>
<tr>
<td valign="top" align="left">Tenorio (<xref ref-type="bibr" rid="B32">32</xref>)</td>
<td valign="top" align="center">2015</td>
<td valign="top" align="left">RCT</td>
<td valign="top" align="left">43 vs. 22<xref ref-type="table-fn" rid="TN1"><sup>a</sup></xref></td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="left">Rifaximin</td>
<td valign="top" align="left">550 mg, twice daily</td>
<td valign="top" align="left">4 weeks</td>
<td valign="top" align="left">CD4<sup>&#x0002B;</sup> T-cell count, soluble CD14, soluble CD163, IL-6, LPS, CRP, D-dimer, CD38, and HLA-DR</td>
</tr>
<tr>
<td valign="top" align="left">Lindboe (<xref ref-type="bibr" rid="B33">33</xref>)</td>
<td valign="top" align="center">2016</td>
<td valign="top" align="left">RCT</td>
<td valign="top" align="left">28 vs. 18</td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="left">Recombinant human growth hormone</td>
<td valign="top" align="left">0.7 mg, once daily</td>
<td valign="top" align="left">40 weeks</td>
<td valign="top" align="left">CD4<sup>&#x0002B;</sup> T-cell count, CRP, and suPAR</td>
</tr>
<tr>
<td valign="top" align="left">Srinivasa (<xref ref-type="bibr" rid="B34">34</xref>)</td>
<td valign="top" align="center">2018</td>
<td valign="top" align="left">RCT</td>
<td valign="top" align="left">25 vs. 21</td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="left">Eplerenone</td>
<td valign="top" align="left">50 mg, once daily</td>
<td valign="top" align="left">6 months</td>
<td valign="top" align="left">CD4<sup>&#x0002B;</sup> T-cell count, CRP, IL-6, PAI-1, MCP-1, and adiponectin</td>
</tr>
<tr>
<td valign="top" align="left">Bourke (<xref ref-type="bibr" rid="B35">35</xref>)</td>
<td valign="top" align="center">2019</td>
<td valign="top" align="left">RCT</td>
<td valign="top" align="left">144 vs. 149</td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="left">Cotrimoxazole</td>
<td valign="top" align="left"><xref ref-type="table-fn" rid="TN7"><sup>g</sup></xref></td>
<td valign="top" align="left">48 weeks</td>
<td valign="top" align="left">CD4<sup>&#x0002B;</sup> T-cell count, CRP, IL-6, soluble CD14, and TNF-&#x003B1;</td>
</tr>
<tr>
<td valign="top" align="left">Macatangay (<xref ref-type="bibr" rid="B36">36</xref>)</td>
<td valign="top" align="center">2020</td>
<td valign="top" align="left">RCT</td>
<td valign="top" align="left">17 vs. 18</td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="left">Dipyridamole</td>
<td valign="top" align="left">100 mg, four times daily</td>
<td valign="top" align="left">12 weeks</td>
<td valign="top" align="left">CD4<sup>&#x0002B;</sup> T-cell count, soluble CD163, soluble CD14, IL-6, CD38, and HLA-DR</td>
</tr>
<tr>
<td valign="top" align="left">Natsag (<xref ref-type="bibr" rid="B37">37</xref>)</td>
<td valign="top" align="center">2016</td>
<td valign="top" align="left">RCT</td>
<td valign="top" align="left">36 vs. 34</td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="left">Alendronate</td>
<td valign="top" align="left">70 mg, once weekly</td>
<td valign="top" align="left">48 weeks</td>
<td valign="top" align="left">CD4<sup>&#x0002B;</sup> T-cell count, IL-6 and soluble receptors for TNF-&#x003B1;</td>
</tr>
<tr>
<td valign="top" align="left">Somsouk (<xref ref-type="bibr" rid="B38">38</xref>)</td>
<td valign="top" align="center">2014</td>
<td valign="top" align="left">RCT</td>
<td valign="top" align="left">15 vs. 18<xref ref-type="table-fn" rid="TN1"><sup>a</sup></xref></td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="left">Mesalamine</td>
<td valign="top" align="left">1,500 mg, once daily</td>
<td valign="top" align="left">12 weeks</td>
<td valign="top" align="left">CD4<sup>&#x0002B;</sup> T-cell count, soluble CD14, IL-6, D-dimer, kynurenine to tryptophan ratio, CD38, and HLA-DR</td>
</tr>
<tr>
<td valign="top" align="left">O&#x00027;Brien (<xref ref-type="bibr" rid="B39">39</xref>)</td>
<td valign="top" align="center">2017</td>
<td valign="top" align="left">RCT</td>
<td valign="top" align="left">38 vs. 38 vs. 36<xref ref-type="table-fn" rid="TN8"><sup>h</sup></xref></td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="left">Aspirin</td>
<td valign="top" align="left">100 mg/300 mg, once daily</td>
<td valign="top" align="left">12 weeks</td>
<td valign="top" align="left">CD4<sup>&#x0002B;</sup> T-cell count, soluble CD14, IL-6, soluble CD163, CD38, and HLA-DR</td>
</tr>
<tr>
<td valign="top" align="left">Gupta (<xref ref-type="bibr" rid="B40">40</xref>)</td>
<td valign="top" align="center">2013</td>
<td valign="top" align="left">RCT</td>
<td valign="top" align="left">13 vs. 13</td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="left">Pentoxifylline</td>
<td valign="top" align="left">400 mg, 3 times daily</td>
<td valign="top" align="left">8 weeks</td>
<td valign="top" align="left">CD4<sup>&#x0002B;</sup> T-cell count, CRP, IL-6, soluble TNF-&#x003B1; receptors, tissue inhibitor of metalloproteinase-1, MCP-1, IP-10, PAI-1, CD38, and HLA-DR</td>
</tr>
<tr>
<td valign="top" align="left">Vergara (<xref ref-type="bibr" rid="B41">41</xref>)</td>
<td valign="top" align="center">2017</td>
<td valign="top" align="left">RCT</td>
<td valign="top" align="left">16 vs. 14</td>
<td valign="top" align="left">No</td>
<td valign="top" align="left">Thalidomide</td>
<td valign="top" align="left">200 mg, once daily</td>
<td valign="top" align="left">3 weeks</td>
<td valign="top" align="left">CD4<sup>&#x0002B;</sup> T-cell count, CRP, LPS, CD38 and HLA-DR</td>
</tr>
<tr>
<td valign="top" align="left">Hsue (<xref ref-type="bibr" rid="B42">42</xref>)</td>
<td valign="top" align="center">2019</td>
<td valign="top" align="left">RCT</td>
<td valign="top" align="left">86 vs. 90</td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="left">Methotrexate</td>
<td valign="top" align="left">5&#x0007E;15 mg, once weekly</td>
<td valign="top" align="left">24 weeks</td>
<td valign="top" align="left">CD4<sup>&#x0002B;</sup> T-cell count, CRP, IL-6, soluble CD163, soluble CD14, VCAM-1, IP-10, D-dimer and fibrinogen</td>
</tr>
<tr>
<td valign="top" align="left">Kent (<xref ref-type="bibr" rid="B43">43</xref>)</td>
<td valign="top" align="center">2018</td>
<td valign="top" align="left">RCT</td>
<td valign="top" align="left">34 vs. 31</td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="left">Vorapaxar</td>
<td valign="top" align="left">2.5 mg, once daily</td>
<td valign="top" align="left">12 weeks</td>
<td valign="top" align="left">CD4<sup>&#x0002B;</sup> T-cell count, D-dimer, CRP, IL-6, soluble CD14, and soluble CD163</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>ART, antiretroviral therapy; RCT, randomized controlled trial; IL, interleukin; LPS, lipopolysaccharide; IFN, interferon; TNF, tumor necrosis factor; N.A., not applicable; suPAR, soluble urokinase plasminogen activated receptor; IP-10, IFN-&#x003B3;-inducible protein 10; VCAM-1, vascular cell adhesion molecule 1; TLR, Toll-like receptor; CRP, C-reactive protein; MCP-1, monocyte chemoattractant protein 1; PAI-1, plasminogen activator inhibitor 1;</italic></p>
<fn id="TN1">
<label>a</label>
<p><italic>Participants were immunological non-responders;</italic></p></fn>
<fn id="TN2">
<label>b</label>
<p><italic>All one of the patients had been taking stable ART;</italic></p></fn>
<fn id="TN3">
<label>c</label>
<p><italic>27 received prednisolone, 31 received prednisolone in combination with ART, 30 received HAART alone and 13 received neither ART nor prednisolone;</italic></p></fn>
<fn id="TN4">
<label>d</label>
<p><italic>6 receiving 250 mg of chloroquine daily, 3 receiving 500 mg of chloroquine daily, and 4 receiving placebo;</italic></p></fn>
<fn id="TN5">
<label>e</label>
<p><italic>A RCT comparing chloroquine to placebo administration in two sequential cohorts of HIV-infected individuals: off-ART [cohort 1: arms A (N = 16) and B (N = 17)] and on-ART [cohort 2: arms C (N = 18) and D (N = 19)], then randomized 1:1 to receive chloroquine 250 mg for the first 12 weeks and then to cross over to placebo for 12 weeks (arms A and C) or placebo for 12 weeks then cross over to chloroquine 250 mg for 12 weeks (arms B and D);</italic></p></fn>
<fn id="TN6">
<label>f</label>
<p><italic>20 received valacyclovir 500 mg twice daily, 20 received valacyclovir 1 g twice daily, or 20 received placebo;</italic></p></fn>
<fn id="TN7">
<label>g</label>
<p><italic>200 mg of sulfamethoxazole/40 mg of trimethoprim, 400 mg of sulfamethoxazole/80 mg of trimethoprim, or 800 mg of sulfamethoxazole/160 mg of trimethoprim for body weight 5&#x02013;15, 15&#x02013;30, or &#x0003E;30 kg, respectively;</italic></p></fn>
<fn id="TN8">
<label>h</label>
<p><italic>38 received daily aspirin 100 mg, 38 received aspirin 300 mg, or 36 received placebo</italic>.</p></fn>
</table-wrap-foot>
</table-wrap>
<p>Among 33 studies, one study was a non-randomized intervention study, two were observational studies, and others were RCTs. Regarding ART, 30 studies used ART in combination with these auxiliary treatments. In addition, the visit period for all studies ranged from 3 to 48 weeks. The reported outcomes included CD4<sup>&#x0002B;</sup> T-cell count, viral load, inflammation biomarkers, and medical side effects. The detailed information of each treatment was reviewed and summarized below.</p></sec>
<sec>
<title>Synthesized Findings</title>
<sec>
<title>Maraviroc</title>
<p>The CC chemokine receptor type 5 inhibitor maraviroc has been hypothesized to decrease T-cell activation in PLWH (<xref ref-type="bibr" rid="B16">16</xref>), and associated with an enhanced CD4<sup>&#x0002B;</sup> T-cell response independent of virological suppression (<xref ref-type="bibr" rid="B17">17</xref>). Two RCTs (<xref ref-type="bibr" rid="B16">16</xref>, <xref ref-type="bibr" rid="B18">18</xref>) and one observational study (<xref ref-type="bibr" rid="B17">17</xref>) reported the effects of maraviroc on CD4<sup>&#x0002B;</sup> T-cell counts. The pooled estimate of effects on CD4<sup>&#x0002B;</sup> T-cell count was 0.184, 95% CI 0.13 &#x0007E; 0.499, <italic>p</italic> = 0.254, <xref ref-type="fig" rid="F2">Figure 2</xref>. The heterogeneity across studies was not significant and small [<italic>Q</italic>(2) = 2.153, <italic>p</italic> = 0.341, <italic>I</italic><sup>2</sup> = 7.122%]. The publication bias was not significant (Intercept = 2.177, <italic>p</italic> = 0.57).</p>
<fig id="F2" position="float">
<label>Figure 2</label>
<caption><p>The forest plot for the effects of maraviroc on CD4<sup>&#x0002B;</sup> T-cell counts.</p></caption>
<graphic xlink:href="fimmu-12-632119-g0002.tif"/>
</fig>
<p>Unexpectedly, Hunt et al. found that compared with the placebo group, maraviroc-treated patients with ART experienced a tremendous median increase in CD38<sup>&#x0002B;</sup>HLA-DR<sup>&#x0002B;</sup>CD8<sup>&#x0002B;</sup> T cells (<xref ref-type="bibr" rid="B16">16</xref>). Furthermore, Rusconi et al. also reported that PLWH accepted maraviroc showed higher levels of HLA-DR<sup>&#x0002B;</sup>CD38<sup>&#x0002B;</sup>CD8<sup>&#x0002B;</sup> T cells as compared to those without maraviroc (<xref ref-type="bibr" rid="B18">18</xref>). These studies suggest that maraviroc does not effectively reduce immune activation, at least in INRs.</p></sec>
<sec>
<title>Glucocorticoid</title>
<p>McComsey et al. reported a double-blinded RCT of prednisone in 41 patients (40 with ART) with HIV-1 infection (<xref ref-type="bibr" rid="B9">9</xref>). They found that 8 weeks of prednisone administration is reasonably safe in advanced HIV-1 disease, and decreases immune activation (tumor necrosis factor &#x003B1; levels and percentages of CD38<sup>&#x0002B;</sup>CD8<sup>&#x0002B;</sup> T cells). However, there was no effect on HIV-1 RNA levels or CD4<sup>&#x0002B;</sup> T-cell count.</p>
<p>An observational study demonstrates that although PLWH without ART-treated with low-dose prednisolone display significantly lower general immune activation, prednisolone was not beneficial to CD4<sup>&#x0002B;</sup> T-cell recovery and viral load controls (<xref ref-type="bibr" rid="B19">19</xref>). In double-blinded RCT, prednisolone could increase the odds of CD4<sup>&#x0002B;</sup> T-cell count recovery as well as decrease immune activation and increase HIV viral load (<xref ref-type="bibr" rid="B20">20</xref>). These studies have shown that, without the escort of ART, the benefits of glucocorticoids on CD4<sup>&#x0002B;</sup> T-cell reconstitution and the risk of viral activation may coexist.</p></sec>
<sec>
<title>Cyclosporine</title>
<p>An RCT evaluating the immune-modulating effects of combining cyclosporine treatment with ART during primary HIV-1 infection has shown that the net increase over baseline values in both CD4<sup>&#x0002B;</sup> T-cell count and CD4/CD8 ratio was significantly greater in PLWH receiving cyclosporine in combination with ART than those receiving ART alone (<xref ref-type="bibr" rid="B10">10</xref>). However, two other cyclosporine RCTs have shown no significant differences between treatment arms in levels of CD4<sup>&#x0002B;</sup> T-cell counts (<xref ref-type="bibr" rid="B21">21</xref>, <xref ref-type="bibr" rid="B22">22</xref>). Interestingly, treatment with cyclosporin A (4 mg/kg, bid) for 2 weeks provided only a transient enhancement in circulating CD4<sup>&#x0002B;</sup> T-cell restoration (<xref ref-type="bibr" rid="B21">21</xref>). However, adjunctive therapy with cyclosporine (0.3 mg/kg, qd) even for 4 weeks did not provide apparent virologic or immunologic benefits (<xref ref-type="bibr" rid="B22">22</xref>), suggesting that adequate doses of cyclosporine are needed to suppress immune activation.</p></sec>
<sec>
<title>Chloroquine and Hydroxychloroquine</title>
<p>Three RCTs have tested the effects of chloroquine and its derivatives on CD4<sup>&#x0002B;</sup> T-cell counts in PLWH. One double-blind RCT indicated that treatment with chloroquine could reduce the systemic T-cell immune activation in participants without ART, but they did not report CD4<sup>&#x0002B;</sup> T-cell counts and viral load (<xref ref-type="bibr" rid="B23">23</xref>). Another double-blind RCT in PLWH off and on ART demonstrated no significant differences in the changes of CD4<sup>&#x0002B;</sup> T-cell counts between the chloroquine arm and the placebo arm in either cohort (<xref ref-type="bibr" rid="B24">24</xref>). However, chloroquine modestly reduced the proportions of CD8<sup>&#x0002B;</sup>T cells co-expressing CD38 and HLA-DR in ART-treated HIV-infected participants. In contrast, this effect on immune activation was not found in the off-ART group during chloroquine use. This study showed that even if chloroquine could not increase CD4<sup>&#x0002B;</sup> T-cell count, it should be combined with ART to reduce immune activation in PLWH.</p>
<p>Moreover, a double-blind RCT performed in the United Kingdom indicated that among HIV-infected patients not taking ART, hydroxychloroquine compared with placebo did not reduce CD8<sup>&#x0002B;</sup> T cell activation, but did significantly decrease CD4<sup>&#x0002B;</sup> T-cell count and increase HIV-RNA replication (<xref ref-type="bibr" rid="B7">7</xref>). These studies indicated that adjuvant treatments with immune modulators to increase CD4<sup>&#x0002B;</sup> T-cell count should consider the combination with ART. Otherwise, it would bring about the risk of increased HIV replication and even further the decline of CD4<sup>&#x0002B;</sup> T-cell counts.</p></sec>
<sec>
<title>Rosuvastatin and Atorvastatin</title>
<p>Statins, or 3-hydroxy-3-methylglutaryl coenzyme A reductase inhibitors, have anti-inflammatory effects, licensed and widely marketed for the treatment of dyslipidemia (<xref ref-type="bibr" rid="B14">14</xref>). There are two RCTs on rosuvastatin and one RCT on atorvastatin involving statins in PLWH, which indicated that statins could not increase CD4<sup>&#x0002B;</sup> T-cell counts in PLWH on ART. However, rosuvastatin may significantly reduce several inflammatory markers, and lymphocyte and monocyte activation in ART-treated subjects in a 48-week follow up (<xref ref-type="bibr" rid="B14">14</xref>) rather than 8-weeks (<xref ref-type="bibr" rid="B25">25</xref>). Besides, atorvastatin could also reduce the T-cell immune activation among ART-experienced adults in a 24-week study (<xref ref-type="bibr" rid="B26">26</xref>). These studies have shown that statins are needed for a long period to reduce immune activation and inflammation among PLWH.</p></sec>
<sec>
<title>Sitagliptin</title>
<p>Dipeptidyl peptidase-4 inhibitors (e.g., sitagliptin) are a relatively new class of oral antidiabetes medications. In animal models and clinical studies of type 2 diabetes, dipeptidyl peptidase-4 inhibitors appear to have many cardiometabolic, anti-inflammatory, and immunoregulatory benefits in addition to their glucoregulatory actions (<xref ref-type="bibr" rid="B15">15</xref>). Both 8 (<xref ref-type="bibr" rid="B27">27</xref>) and 16 weeks (<xref ref-type="bibr" rid="B15">15</xref>) of sitagliptin had pleiotropic anti-inflammatory and immune regulatory effects in PLWH during ART. However, there were no significant between-arm differences in CD4<sup>&#x0002B;</sup> T-cell counts.</p></sec>
<sec>
<title>Valganciclovir and Valacyclovir</title>
<p>Herpes simplex virus type 2 is a common HIV coinfection, contributing to the increased systematic inflammation and immune activation despite suppressive ART (<xref ref-type="bibr" rid="B28">28</xref>). Either RCTs of anti-herpes simplex virus medication valganciclovir (<xref ref-type="bibr" rid="B29">29</xref>) or valacyclovir (<xref ref-type="bibr" rid="B28">28</xref>) could not increase CD4<sup>&#x0002B;</sup> T-cell counts in PLWH. Still, valganciclovir-treated participants had a significantly greater reduction in CD8<sup>&#x0002B;</sup> T-cell activation than those from the placebo group, which was not observed in the study of valacyclovir.</p></sec>
<sec>
<title>Vitamin D3 and Phenylbutyrate</title>
<p>Poor nutritional status is common among PLWH (<xref ref-type="bibr" rid="B30">30</xref>, <xref ref-type="bibr" rid="B31">31</xref>). Vitamin D3 and phenylbutyrate possess pleiotropic immunomodulatory functions that could simultaneously prevent chronic immune activation and dysregulation (<xref ref-type="bibr" rid="B30">30</xref>, <xref ref-type="bibr" rid="B31">31</xref>). Two double-blinded RCTs in treatment-naive HIV patients indicated that daily nutritional supplementation with Vitamin D3 and phenylbutyrate could not change the viral load, CD4<sup>&#x0002B;</sup> T-cell counts, and levels of inflammation (<xref ref-type="bibr" rid="B30">30</xref>, <xref ref-type="bibr" rid="B31">31</xref>).</p>
</sec>
<sec>
<title>Other Drug Candidates</title>
<p>Some candidates were conducted in one RCT, which was demonstrated the anti-inflammatory and immunomodulatory effects by rifaximin (<xref ref-type="bibr" rid="B32">32</xref>), recombinant human growth hormone (<xref ref-type="bibr" rid="B33">33</xref>), eplerenone (<xref ref-type="bibr" rid="B34">34</xref>), cotrimoxazole (<xref ref-type="bibr" rid="B35">35</xref>), and dipyridamole (<xref ref-type="bibr" rid="B36">36</xref>) decreased immune activation significantly among persons with HIV-1 infection receiving ART. Further studies are necessary to uncover the clinical potential of these candidates on CD4<sup>&#x0002B;</sup> T-cell count recovery in PLWH.</p>
<p>However, HIV-associated changes of CD4<sup>&#x0002B;</sup> T-cell counts and immune activation are not impacted by alendronate (<xref ref-type="bibr" rid="B37">37</xref>), mesalamine (<xref ref-type="bibr" rid="B38">38</xref>), and aspirin (<xref ref-type="bibr" rid="B39">39</xref>). More frustratingly, the pentoxifylline (<xref ref-type="bibr" rid="B40">40</xref>), thalidomide (<xref ref-type="bibr" rid="B41">41</xref>), methotrexate (<xref ref-type="bibr" rid="B42">42</xref>), and vorapaxar (<xref ref-type="bibr" rid="B43">43</xref>) had no benefits on immune activation, inflammation, and CD4<sup>&#x0002B;</sup> T-cell count recovery in PLWH receiving ART but at risk of poor outcomes.</p></sec>
<sec>
<title>Adjuvant Therapy for Poor Immune Reconstitution</title>
<p>There are eight studies on INRs in the above research. For maraviroc, only one study proved that maraviroc could increase the CD4<sup>&#x0002B;</sup> T-cell counts (<xref ref-type="bibr" rid="B17">17</xref>). One study reported that maraviroc could reduce inflammation (<xref ref-type="bibr" rid="B18">18</xref>), but another study showed that maraviroc increased immune activation (<xref ref-type="bibr" rid="B16">16</xref>). However, two studies showed that maraviroc has serious adverse events (<xref ref-type="bibr" rid="B17">17</xref>, <xref ref-type="bibr" rid="B18">18</xref>).</p>
<p>For the other five candidates, which were only conducted in one study, prednisone (<xref ref-type="bibr" rid="B9">9</xref>), valganciclovir (<xref ref-type="bibr" rid="B29">29</xref>), atorvastatin (<xref ref-type="bibr" rid="B26">26</xref>), and rifaximin (<xref ref-type="bibr" rid="B32">32</xref>) have all been reported to reduce inflammation and immune activation to varying degrees, except for mesalamine (<xref ref-type="bibr" rid="B38">38</xref>). As expected, prednisone has been reported more adverse events (<xref ref-type="bibr" rid="B9">9</xref>).</p></sec></sec></sec>
<sec sec-type="discussion" id="s4">
<title>Discussion</title>
<sec>
<title>Summary of Main Findings</title>
<p>HIV is associated with increased systematic inflammation and immune activation that persist despite suppressive ART (<xref ref-type="bibr" rid="B44">44</xref>). The elevated immune activation and inflammation are associated with an increased risk of non-AIDS diseases and mortality among PLWH (<xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B13">13</xref>). While ART reduces the level of inflammatory biomarkers, it does not result in normalization of CD4<sup>&#x0002B;</sup> T-cell counts and host immunity (<xref ref-type="bibr" rid="B45">45</xref>). Interventions reducing immune activation request a deep understanding of pathogenesis and a balance thought of therapeutic benefit or side effects. In this systematic review, only maraviroc can be used for meta-analysis. However, maraviroc does not significantly increase the CD4<sup>&#x0002B;</sup> T-cell counts of INR. Moreover, most of the included studies have shown that the maraviroc and other target drugs could reduce inflammation or immune activation based on different biomarkers. Besides, we have also evaluated the safety of candidates, especially in HIV load and CD4<sup>&#x0002B;</sup> T-cell counts. In general, there is no well-established adjunct therapy to increase CD4<sup>&#x0002B;</sup> T-cell counts.</p>
<p>In this systematic review and meta-analysis, the use of research drugs that bring immunological benefits in PLWH usually has the following characteristics, which may also be the principle of searching for ideal candidates in the future. First, this clinical study design should be based on the combined ART (i.e., principle &#x0201C;combined&#x0201D;). Hydroxychloroquine (<xref ref-type="bibr" rid="B7">7</xref>) and thalidomide (<xref ref-type="bibr" rid="B41">41</xref>) did not reduce inflammation and immune activation without ART, but led to a greater decline in CD4<sup>&#x0002B;</sup> T-cell counts and an increase in viral replication. In contrast, even if other studies did not bring immunological or virological benefits, or even showed the adverse effects of the candidate drug, the candidates combined with ART would not lead to the poor outcomes such as a decrease in CD4<sup>&#x0002B;</sup> T-cell counts or an increase in HIV RNA load.</p>
<p>Second, the preexisting immune system abnormalities in the setting of HIV infection may overpower the immunomodulatory effects of the overwhelming majority of candidates (<xref ref-type="bibr" rid="B3">3</xref>). Moreover, ART, low-level HIV replication, microbial translocation across damaged mucosal surfaces, and chronic coinfections may contribute to persistent inflammation during influential virologic ART (<xref ref-type="bibr" rid="B4">4</xref>, <xref ref-type="bibr" rid="B5">5</xref>). Accordingly, an adequate dose for an extended period of candidate interventions is needed to moderate them (i.e., principle &#x0201C;adequate&#x0201D; and &#x0201C;long&#x0201D;). Two cyclosporine studies indicated that adequate cyclosporine doses (<xref ref-type="bibr" rid="B21">21</xref>) could suppress immune activation rather than fewer doses (<xref ref-type="bibr" rid="B22">22</xref>). Besides, insufficient use of a loading vorapaxar dose in PLWH may not achieve the general effect, as some cardiovascular studies have shown (<xref ref-type="bibr" rid="B43">43</xref>). Similarly, the 48-week treatment of rosuvastatin (<xref ref-type="bibr" rid="B13">13</xref>) may significantly reduce immune activation and inflammation among PLWH in the 8-week study (<xref ref-type="bibr" rid="B7">7</xref>).</p>
<p>Finally, immune activation and inflammation persist in most ART-suppressed PLWH (<xref ref-type="bibr" rid="B5">5</xref>). Therefore, reducing persistent immune activation has emerged as a major priority (<xref ref-type="bibr" rid="B4">4</xref>). Considering the principles of &#x0201C;combined, adequate and long,&#x0201D; as well as drug interaction with ART, evidently and most importantly, a &#x0201C;safe&#x0201D; intervention that suppresses immune activation and increases CD4<sup>&#x0002B;</sup> T-cell counts would be attractive. Our review indicated that the vast majority of candidates above might not be studied further as a treatment to increase the CD4<sup>&#x0002B;</sup> T-cell counts in PLWH. Therefore, we propose the four principles of adjunct therapy for CD4<sup>&#x0002B;</sup> T-cell recovery in PLWH, namely the &#x0201C;SCAL&#x0201D; principles of safe, combined, adequate, and long. Maybe existing proven interventions in HIV-negative populations to modify inflammation and immune activation risks remain the best available methods to reduce non-AIDS disease in PLWH.</p>
<p>So how do we screen drug candidates to increase CD4<sup>&#x0002B;</sup> T-cell counts of PLWH? Much has been learnt about candidates since assessing the effect on hydroxyurea in PLWH in 1997 (<xref ref-type="bibr" rid="B6">6</xref>). Although the exact proinflammatory mechanisms are unclear, interventions that reduce inflammation and immune activation are believed to reduce non-AIDS disease risk in PLWH (<xref ref-type="bibr" rid="B4">4</xref>, <xref ref-type="bibr" rid="B5">5</xref>). Bioinformatics technology should be used to explore the potential differences in the immune system between PLWH and healthy controllers, especially in INRs. Next, chemoinformatics could be further used to match candidates that meet the &#x0201C;SCAL&#x0201D; principles, just like scientists&#x00027; outstanding performance during the SARS-CoV-2 epidemic (<xref ref-type="bibr" rid="B46">46</xref>). Given the potential for complex and unpredictable effects, interventions for immune activation and CD4<sup>&#x0002B;</sup> T-cell recovery must be evaluated rigorously and comprehensively in adequately powered randomized controlled trials. Also, in the context of fully suppressive ART, multifarious immunotherapeutic approaches such as vaccines or cytokines (<xref ref-type="bibr" rid="B47">47</xref>), dietary supplements (<xref ref-type="bibr" rid="B48">48</xref>), might further reduce immune activation, and improve CD4<sup>&#x0002B;</sup> T-cell count in PLWH. However, because the intervention was difficult to standardize or the number of subjects was small, the safety and effectiveness of these methods need to be further verified.</p></sec></sec>
<sec id="s5">
<title>Limitations</title>
<p>The use of different biomarkers in this included literature above might miss biological effects with the potential for clinical importance. Still, it is much more efficient than devoting the resources for CD4<sup>&#x0002B;</sup> T-cell count recovery as a clinical endpoint study. Besides, we focused on individuals with incomplete CD4<sup>&#x0002B;</sup> T-cell count recovery. They tend to have the higher persistent immune activation levels and are at the highest risk for morbidity and mortality. However, despite a large number of candidates, few studies adopt the control group, so we didn&#x00027;t include these studies, which also excluded the effect of the slow increase in CD4<sup>&#x0002B;</sup> T-cell count among PLWH or INR.</p></sec>
<sec sec-type="conclusions" id="s6">
<title>Conclusions</title>
<p>To date, there are no safe and effective medications specific to improving CD4<sup>&#x0002B;</sup> T-cell reconstitution. There are still considerable challenges in the adjuvant treatment of CD4<sup>&#x0002B;</sup> T-cell count recovery, as well as the interventions of inflammation and immune activation. The immunological benefits or adverse events mainly depend on the safety, dosage, and duration of the candidate medication use, and whether it is combined with ART. Therefore, we propose the four principles of the &#x0201C;SCAL&#x0201D; principles. Under the guidance of &#x0201C;SCAL&#x0201D; principles, it is necessary to develop effective drugs and design rigorous clinical trials to verify in PLWH treated with standard ART in the future.</p></sec>
<sec sec-type="data-availability-statement" id="s7">
<title>Data Availability Statement</title>
<p>The original contributions presented in the study are included in the article/supplementary material, further inquiries can be directed to the corresponding author/s.</p></sec>
<sec id="s8">
<title>Author Contributions</title>
<p>YZ, TJ, AL, HW, TZ, and WJ had full access to all of the data in the study and are responsible for the integrity of data and the accuracy of data analysis. YZ, HW, TZ, and WJ study concept and design. YZ, TJ, AL, JH, and MG acquisition, analysis, and interpretation of data. YZ, TJ, and AL drafting the manuscript. ZL, XH, BS, HW, TZ, and WJ critical revision of the manuscript for important intellectual content. YZ, ZL, XH, BS, HW, TZ, and WJ obtained funding. YZ, HW, TZ, and WJ study supervision. All of the authors gave the publishing approval.</p></sec>
<sec sec-type="COI-statement" id="conf1">
<title>Conflict of Interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p></sec>
</body>
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<fn fn-type="financial-disclosure"><p><bold>Funding.</bold> This work was supported by the National Natural Science Foundation of China (NSFC)-NIH Biomedical collaborative research program (81761128001 to HW), the NSFC (81772165 and 81974303 to BS, 81901089 to YZ, 82072271 to TZ, 82072294 to ZL), the National Institutes of Allergy and Infectious Diseases (AI128864 to WJ), the China Postdoctoral Science Foundation (2019M660718 to YZ), the Chinese Government under the 13th Five-Year Plan (2017ZX10202101 to TZ, 2018ZX10301 to ZL), the Major Project of Beijing Municipal Science and Technology Committee (D161100000416003 to HW), the Beijing International Postdoctoral Exchange Fellowship Program (2019PC-11 to YZ), the Peak Talent Program of Beijing Hospital Authority (DFL20191701 to TZ), the Beijing Excellent Talent Plan (2018000021223ZK04 to XH), the Beijing Key Laboratory for HIV/AIDS Research (BZ0089) and the Open Project funded by Beijing Key Laboratory of HIV/AIDS Research (BJYAHKF2019001 to YZ).</p></fn>
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