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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.2017.01189</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Immunology</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Potential Role of V&#x003B4;2<sup>&#x0002B;</sup> &#x003B3;&#x003B4; T Cells in Regulation of Immune Activation in Primary HIV Infection</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Bhatnagar</surname> <given-names>Nupur</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="http://frontiersin.org/people/u/452164"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Girard</surname> <given-names>Pierre-Marie</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Lopez-Gonzalez</surname> <given-names>Moises</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="http://frontiersin.org/people/u/477074"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Didier</surname> <given-names>C&#x000E9;line</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="http://frontiersin.org/people/u/274273"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Collias</surname> <given-names>Lio</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<uri xlink:href="http://frontiersin.org/people/u/477042"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Jung</surname> <given-names>Corinne</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<uri xlink:href="http://frontiersin.org/people/u/453453"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Bollens</surname> <given-names>Diane</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Duvivier</surname> <given-names>Claudine</given-names></name>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
<xref ref-type="aff" rid="aff5"><sup>5</sup></xref>
<uri xlink:href="http://frontiersin.org/people/u/476954"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Von Platen</surname> <given-names>Cassandre</given-names></name>
<xref ref-type="aff" rid="aff6"><sup>6</sup></xref>
<uri xlink:href="http://frontiersin.org/people/u/477008"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Scott-Algara</surname> <given-names>Daniel</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="http://frontiersin.org/people/u/454906"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Weiss</surname> <given-names>Laurence</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<xref ref-type="aff" rid="aff5"><sup>5</sup></xref>
<xref ref-type="corresp" rid="cor1">&#x0002A;</xref>
<uri xlink:href="http://frontiersin.org/people/u/464167"/>
</contrib>
<contrib contrib-type="author" id="collab1">
<collab>for the ANRS EP-56 Group</collab>
</contrib>
</contrib-group>
<contrib-group content-type="collab-list">
<contrib contrib-type="collab" rid="collab1">
<name><surname>Valin</surname> <given-names>Nadia</given-names></name>
</contrib>
<contrib contrib-type="collab" rid="collab1">
<name><surname>Fonquernie</surname> <given-names>Laurent</given-names></name>
</contrib>
<contrib contrib-type="collab" rid="collab1">
<name><surname>Karmochkine</surname> <given-names>Marina</given-names></name>
</contrib>
<contrib contrib-type="collab" rid="collab1">
<name><surname>Castiel</surname> <given-names>Philippe</given-names></name>
</contrib>
<contrib contrib-type="collab" rid="collab1">
<name><surname>Dumont</surname> <given-names>Anne</given-names></name>
</contrib>
<contrib contrib-type="collab" rid="collab1">
<name><surname>Marchand</surname> <given-names>Lucie</given-names></name>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>Institut Pasteur, Unit&#x000E9; Cytokines et Inflammation</institution>, <addr-line>Paris</addr-line>, <country>France</country></aff>
<aff id="aff2"><sup>2</sup><institution>AP-HP, H&#x000F4;pital Saint-Antoine</institution>, <addr-line>Paris</addr-line>, <country>France</country></aff>
<aff id="aff3"><sup>3</sup><institution>AP-HP, H&#x000F4;pital Europ&#x000E9;en Georges Pompidou</institution>, <addr-line>Paris</addr-line>, <country>France</country></aff>
<aff id="aff4"><sup>4</sup><institution>Centre M&#x000E9;dical de l&#x02019;Institut Pasteur, Centre d&#x02019;Infectiologie Necker Pasteur</institution>, <addr-line>Paris</addr-line>, <country>France</country></aff>
<aff id="aff5"><sup>5</sup><institution>Universit&#x000E9; Paris Descartes, Sorbonne Paris Cit&#x000E9;</institution>, <addr-line>Paris</addr-line>, <country>France</country></aff>
<aff id="aff6"><sup>6</sup><institution>Institut Pasteur, Center for Translational Science</institution>, <addr-line>Paris</addr-line>, <country>France</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Donald Sodora, Center for Infectious Disease Research, United States</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Jean-Pierre Routy, McGill University, Canada; Luis David Giavedoni, Texas Biomedical Research Institute, United States; Barbara Louise Lohman-Payne, University of Washington, United States</p></fn>
<corresp content-type="corresp" id="cor1">&#x0002A;Correspondence: Laurence Weiss, <email>laurence.weiss&#x00040;aphp.fr</email></corresp>
<fn fn-type="other" id="fn001"><p>Specialty section: This article was submitted to HIV and AIDS, a section of the journal Frontiers in Immunology</p></fn>
</author-notes>
<pub-date pub-type="epub">
<day>25</day>
<month>09</month>
<year>2017</year>
</pub-date>
<pub-date pub-type="collection">
<year>2017</year>
</pub-date>
<volume>8</volume>
<elocation-id>1189</elocation-id>
<history>
<date date-type="received">
<day>23</day>
<month>06</month>
<year>2017</year>
</date>
<date date-type="accepted">
<day>08</day>
<month>09</month>
<year>2017</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x000A9; 2017 Bhatnagar, Girard, Lopez-Gonzalez, Didier, Collias, Jung, Bollens, Duvivier, Von Platen, Scott-Algara and Weiss.</copyright-statement>
<copyright-year>2017</copyright-year>
<copyright-holder>Bhatnagar, Girard, Lopez-Gonzalez, Didier, Collias, Jung, Bollens, Duvivier, Von Platen, Scott-Algara and Weiss</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) or licensor 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>Although conventional regulatory T cells (Tregs) are sufficient in controlling low residual T-cell activation in ART-treated patients, they are not efficient in controlling exaggerated immune activation associated with high levels of HIV replication in primary HIV infection (PHI). Our previous data suggested that double negative (DN) T cells including mainly &#x003B3;&#x003B4; DN T cells play a role in the control of immune activation in PHI. Since &#x003B3;&#x003B4; T cells are capable of exerting regulatory functions, we investigated their implication as Tregs in PHI as well as chronic HIV infection (CHI). In a cross-sectional study of 58 HIV-infected patients, in the primary and the chronic phase either ART-treated or untreated (UT), we analyzed phenotype and cytokine production of &#x003B3;&#x003B4; T cells using flow cytometry. Cytokine production was assessed following <italic>in vitro</italic> stimulation with isopentenyl pyrophosphate or plate-bound anti-CD3/anti-CD28 monoclonal antibodies. We found that the proportion of &#x003B3;&#x003B4; T cells negatively correlated with CD8 T-cell activation in PHI patients. Furthermore, we found that in these patients, the V&#x003B4;2 receptor bearing (V&#x003B4;2<sup>&#x0002B;</sup>) &#x003B3;&#x003B4; T cells were strongly activated, exhibited low terminal differentiation, and produced the anti-inflammatory cytokine, TGF-&#x003B2;. In contrast, in UT-CHI, we observed a remarkable expansion of &#x003B3;&#x003B4; T cells, where the V&#x003B4;2<sup>&#x0002B;</sup> &#x003B3;&#x003B4; T cells comprised of an elevated proportion of terminally differentiated cells producing high levels of IFN-&#x003B3; but very low levels of TGF-&#x003B2;. We also found that this loss of regulatory feature of &#x003B3;&#x003B4; T cells in CHI was a lasting impairment as we did not find recovery of TGF-&#x003B2; production even in ART-CHI patients successfully treated for more than 5&#x02009;years. Our data therefore suggest that during the primary HIV infection, V&#x003B4;2<sup>&#x0002B;</sup> &#x003B3;&#x003B4; T cells may act as Tregs controlling immune activation through production of TGF-&#x003B2;. However, in CHI, &#x003B3;&#x003B4; T cells transform from an anti-inflammatory into pro-inflammatory cytokine profile and participate in sustenance of immune activation.</p>
</abstract>
<kwd-group>
<kwd>primary HIV infection</kwd>
<kwd>V&#x003B4;2<sup>&#x0002B;</sup> &#x003B3;&#x003B4; T cells</kwd>
<kwd>immune activation</kwd>
<kwd>TGF-&#x003B2;</kwd>
<kwd>chronic HIV infection</kwd>
</kwd-group>
<contract-sponsor id="cn01">Agence Nationale de Recherches sur le Sida et les Hepatites Virales<named-content content-type="fundref-id">10.13039/501100003323</named-content></contract-sponsor>
<counts>
<fig-count count="4"/>
<table-count count="1"/>
<equation-count count="0"/>
<ref-count count="42"/>
<page-count count="12"/>
<word-count count="7212"/>
</counts>
</article-meta>
</front>
<body>
<sec id="S1" sec-type="introduction">
<title>Introduction</title>
<p>Increased T cell turnover, elevated proportions of activated T cells, and augmented levels of pro-inflammatory cytokines and chemokines are hallmarks of chronic immune activation in HIV infection with persistent high viremia (<xref ref-type="bibr" rid="B1">1</xref>&#x02013;<xref ref-type="bibr" rid="B3">3</xref>). In the primary HIV infection (PHI), there is prolific viral replication, high levels of immune activation, and induction of HIV-specific CD4 and CD8 T-cell cytotoxic responses (<xref ref-type="bibr" rid="B4">4</xref>&#x02013;<xref ref-type="bibr" rid="B6">6</xref>). The rate of CD4 T-cell loss and the subsequent course of infection are determined by the &#x0201C;set point&#x0201D; of CD8 T-cell activation established within the first 6&#x02009;months following infection (<xref ref-type="bibr" rid="B7">7</xref>). While the initial immune response partially controls HIV replication in PHI, it, however, does not eradicate the infection and does not prevent the consequent gradual loss of CD4 T cells and CD8 T-cell functional impairment. In patients treated by ART in chronic HIV infection (CHI) there is rapid decline of activated T cells; however, they rarely reach a normal steady state compared to uninfected individuals (<xref ref-type="bibr" rid="B8">8</xref>, <xref ref-type="bibr" rid="B9">9</xref>). Conventional regulatory T cells (Tregs) are known to be capable of controlling inappropriate or exaggerated immune activation mediated either through cellular contact <italic>via</italic> CTLA-4 (<xref ref-type="bibr" rid="B10">10</xref>) or through secretion of immunosuppressive cytokines such as IL-10 and TGF-&#x003B2; (<xref ref-type="bibr" rid="B11">11</xref>). Although they are competent in controlling low residual T-cell activation in ART-treated patients (<xref ref-type="bibr" rid="B12">12</xref>), it was found that they are not sufficient in terms of numbers and/or activity to dampen the exaggerated immune activation that is associated with high levels of HIV replication during PHI (<xref ref-type="bibr" rid="B13">13</xref>). Instead, IL-10-producing Foxp3<sup>&#x02212;</sup> type I Tregs (Tr1) and double negative (DN) T cells were shown to play a beneficial role in controlling T-cell activation (<xref ref-type="bibr" rid="B13">13</xref>, <xref ref-type="bibr" rid="B14">14</xref>). Moreover, in SIV infection, it had been observed that natural hosts had higher proportions of DN T cells than found in pathogenic hosts that were less frequently infected and exhibited polyfunctionality, indicating their critical role in providing help during SIV infection (<xref ref-type="bibr" rid="B15">15</xref>, <xref ref-type="bibr" rid="B16">16</xref>).</p>
<p>Double negative T cells are a subclass of T cells with more than 70% of them devoid of CD4 and CD8 (<xref ref-type="bibr" rid="B17">17</xref>). They constitute 1&#x02013;5% of T cells in peripheral blood and lymphoid organs and can express either &#x003B1;&#x003B2; or &#x003B3;&#x003B4; T cell receptor. In humans, six V&#x003B3; genes (V&#x003B3;2,3,4,5,8,9) can combine with three other commonly used V&#x003B4; genes (V&#x003B4;1,2,3) to create different combinations that allow their preferential homing to specific anatomical localizations. In healthy individuals, V&#x003B4;2<sup>&#x0002B;</sup> cells predominate in peripheral blood, whereas V&#x003B4;1<sup>&#x0002B;</sup> cells and V&#x003B4;3<sup>&#x0002B;</sup> cells are localized in the liver and gut epithelia. V&#x003B4;1<sup>&#x0002B;</sup> cells are also found to be present in thymus, spleen, and dermis (<xref ref-type="bibr" rid="B18">18</xref>, <xref ref-type="bibr" rid="B19">19</xref>). V&#x003B4;2<sup>&#x0002B;</sup> cells mainly respond to mycobacterial antigens and tumors. They are also activated by phosphoantigens, such as 4-hydroxy-3-methyl-but-2-enyl pyrophosphate or isopentenyl pyrophosphate (IPP), that get accumulated in virus-infected and cancer cells due to alterations in the mevalonate pathway. V&#x003B4;1<sup>&#x0002B;</sup> and V&#x003B4;3<sup>&#x0002B;</sup> cells participate in defense against viral and fungal infections as well as hematological malignancies (<xref ref-type="bibr" rid="B20">20</xref>). In HIV infection, expansion of V&#x003B4;1<sup>&#x0002B;</sup> cells with concomitant depletion of V&#x003B4;2<sup>&#x0002B;</sup> cells in peripheral blood results in an inverted V&#x003B4;1<sup>&#x0002B;</sup>/V&#x003B4;2<sup>&#x0002B;</sup> ratio compared to healthy individuals (<xref ref-type="bibr" rid="B21">21</xref>, <xref ref-type="bibr" rid="B22">22</xref>). Although not entirely clear, indirect mechanisms involving CCR5/&#x003B1;4&#x003B2;7 signaling as well as direct infection of &#x003B3;&#x003B4; T cells have been reported to be plausible explanations for V&#x003B4;2<sup>&#x0002B;</sup> cell loss in HIV infection (<xref ref-type="bibr" rid="B23">23</xref>&#x02013;<xref ref-type="bibr" rid="B25">25</xref>). Generalized immune activation during UT HIV infection was reported to induce transient expression of CD4 on V&#x003B4;2<sup>&#x0002B;</sup> cells, which enables HIV infection of &#x003B3;&#x003B4; T cells <italic>in vivo</italic> (<xref ref-type="bibr" rid="B25">25</xref>).</p>
<p>As we had previously found that DN T cells including mainly &#x003B3;&#x003B4; T cells may play a role in controlling high levels of T-cell activation in PHI (<xref ref-type="bibr" rid="B13">13</xref>), we put forward the hypothesis that &#x003B3;&#x003B4; T cells might be involved in the control of immune activation in PHI. Therefore, the primary objective of this study was to characterize phenotype and function of &#x003B3;&#x003B4; T cells and to investigate their role as potential Tregs in primary HIV infection. We also aimed at analyzing potential changes in the profile of &#x003B3;&#x003B4; T cells with the stage of infection (primary vs chronic), and their alterations by ART. We thus performed a cross-sectional study including HIV-infected patients in primary and chronic phase with or without antiretroviral treatment.</p>
</sec>
<sec id="S2" sec-type="methods">
<title>Patients, Materials, and Methods</title>
<sec id="S2-1">
<title>Study Population</title>
<p>The ANRS-EP56 study comprised three groups of patients. The first group included ART-na&#x000EF;ve patients diagnosed with PHI (<italic>n</italic>&#x02009;&#x0003D;&#x02009;19), symptomatic or not, defined by a negative or weakly positive ELISA, and at least one of the following criteria: incomplete HIV Western Blot, a positive p24 antigenemia and/or detectable plasma HIV-1-RNA. The second and the third groups comprised chronic HIV-infected patients (CHI) either UT (UT-CHI, <italic>n</italic>&#x02009;&#x0003D;&#x02009;17) or ART-treated (ART-CHI, <italic>n</italic>&#x02009;&#x0003D;&#x02009;23) with HIV-RNA levels &#x0003C;20 copies/mL since at least 6&#x02009;months. Non-inclusion criteria included active HCV or HBV infection and ongoing bacterial or opportunistic infection. Patients were prospectively enrolled in the study conducted in three clinical sites in Paris, France between April 2015 and July 2016. Written informed consent was provided by study participants according to French ethical laws. The ethical committee of Ile de France IV approved the study. In addition, a statement of ethical clearance was also received from Institut Pasteur, Paris, which was the sponsor of the study, in charge of administrative and ethical issues. Seventeen healthy donors (HD) were also included in the study. Lymphocyte, CD4, and CD8 counts were measured in all patients routinely using the BD Multitest&#x02122; CD3/CD8/CD45/CD4 and BD Trucount&#x02122; tubes.</p>
</sec>
<sec id="S2-2">
<title>Blood Sample Processing</title>
<p>Peripheral blood was collected in EDTA-containing tubes. Fresh peripheral blood mononuclear cells (PBMCs) were purified by density gradient centrifugation (Isopaque&#x02013;Ficoll) within 2&#x02013;4&#x02009;h after blood sampling and used the same day for phenotypic and functional analysis.</p>
</sec>
<sec id="S2-3">
<title>Flow Cytometric Analysis</title>
<p>Cells were washed, stained, and analyzed by flow cytometry (LSRII, Becton Dickinson and Gallios, Beckman Coulter). The following monoclonal antibodies (mAbs) were used for staining of surface markers and detection of intracellular cytokines: CD3-ECD (clone UCHT1), &#x003B3;&#x003B4;-TCR-PC5, &#x003B3;&#x003B4;-TCR-PE (clone IMMU510), V&#x003B4;2-FITC (clone IMMU389), CD27-PE (clone 1A4CD27) (Beckman Coulter); CD4-APC-H7 (clone RPA-T4), CD8-AF700 (clone RPA-T8), IFN-&#x003B3;-AF700 (clone B27) (Becton Dickinson); CD38-PE-Cy7 (clone HIT2) (eBioscience); HLA-DR-Vioblue (clone AC122), Ki-67-PE-Vio770 (clone REA183) (Miltenyi Biotech); and TGF-&#x003B2;-PE (clone TB21) (IQ Products). FcR-blocking reagent (Miltenyi Biotech) was used to block non-specific Fc-receptor mediated antibody binding. For intracellular staining of Ki-67, IFN-&#x003B3;, and TGF-&#x003B2;, cells were fixed and permeabilized using the &#x0201C;Foxp3 staining buffer set&#x0201D; (eBioscience) according to the manufacturer&#x02019;s recommendations. Flow cytometric analysis was performed using FlowJo software (TreeStar).</p>
</sec>
<sec id="S2-4">
<title>Intracellular Cytokine Staining</title>
<p>Following isolation of PBMCs, cells were resuspended in R10 (RPMI 1640 medium supplemented with 10% FCS, penicillin and streptomycin) and stimulated under different conditions. Cells were stimulated with immobilized mAbs against CD3 (1&#x02009;&#x000B5;g/mL) and soluble CD28 (1&#x02009;&#x000B5;g/mL) for 24&#x02009;h at 37&#x000B0;C. Since IFN-&#x003B3; is an early cytokine, brefeldin A (BFA), 5&#x02009;&#x000B5;g/mL (Sigma-Aldrich) was added after the first hour of culture with CD3/CD28. Cells were also stimulated with IPP (5&#x02009;&#x000B5;g/mL) for 4&#x02009;days at 37&#x000B0;C. In this case, BFA was added to the culture overnight before intracellular staining of TGF-&#x003B2; as it appears later in the time kinetics.</p>
</sec>
<sec id="S2-5">
<title>Statistical Analysis</title>
<p>Data are described as medians and interquartile ranges (IQR). Non-parametric tests were used to avoid the impact of potential outlier values in a small study. Comparisons between groups were performed using the Mann&#x02013;Whitney test. The Wilcoxon matched-paired test was used to compare the characteristics of the two &#x003B3;&#x003B4; T-cell subsets. The Spearman&#x02019;s non-parametric correlation was performed to estimate the association between two continuous variables of interest. <italic>p</italic>-Values below 0.05 were considered as statistically significant.</p>
</sec>
</sec>
<sec id="S3">
<title>Results</title>
<sec id="S3-1">
<title>Patients</title>
<p>Clinical characteristics of patients are described in detail in Table <xref ref-type="table" rid="T1">1</xref>. Most of the PHI patients were males. At baseline, median age was similar (about 40&#x02009;years) for PHI and untreated chronic HIV infection (UT-CHI) patients, but higher for ART-CHI patients (52&#x02009;years). Lymphocyte counts did not differ among the groups of patients. For PHI patients, median duration of time since infection was 36&#x02009;days (IQR: 32&#x02013;41). For ART-CHI patients, median duration of ART was 78&#x02009;months (IQR: 58&#x02013;221); median duration of time since HIV viral load &#x0003C;20 copies/mL was 48&#x02009;months (IQR: 24&#x02013;60) and median nadir CD4 cell count was 281 (IQR: 135&#x02013;384) cells/&#x003BC;L. Percentage of patients seropositive for CMV in different HIV groups was comparable.</p>
<table-wrap position="float" id="T1">
<label>Table 1</label>
<caption><p>Healthy donors (HD) and patients&#x02019; characteristics.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="center"/>
<th valign="top" align="center">HD</th>
<th valign="top" align="center">Primary HIV infection (PHI)</th>
<th valign="top" align="center">Untreated chronic HIV infection (UT-CHI)</th>
<th valign="top" align="center">ART-treated patients (ART-CHI)</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Number of individuals</td>
<td align="center" valign="top">17</td>
<td align="center" valign="top">19</td>
<td align="center" valign="top">17</td>
<td align="center" valign="top">23</td>
</tr>
<tr>
<td align="left" valign="top">Age</td>
<td align="center" valign="top">45 (37&#x02013;52)</td>
<td align="center" valign="top">41 (30&#x02013;49)</td>
<td align="center" valign="top">40 (31&#x02013;44)</td>
<td align="center" valign="top">52 (40&#x02013;57)</td>
</tr>
<tr>
<td align="left" valign="top">Sex F/M</td>
<td align="center" valign="top">4/13</td>
<td align="center" valign="top">1/18</td>
<td align="center" valign="top">5/12</td>
<td align="center" valign="top">5/18</td>
</tr>
<tr>
<td align="left" valign="top">HIV-1 RNA (log<sub>10</sub>/mL)</td>
<td align="center" valign="top">NA</td>
<td align="center" valign="top">5.5 (4.7&#x02013;6.5)</td>
<td align="center" valign="top">4.2 (4&#x02013;4.8)</td>
<td align="center" valign="top">&#x0003C;20</td>
</tr>
<tr>
<td align="left" valign="top">Lymphocyte count (cells/mm<sup>3</sup>)</td>
<td align="center" valign="top">NA</td>
<td align="center" valign="top">1,440 (774&#x02013;2,392)</td>
<td align="center" valign="top">2,207 (1,504&#x02013;2,584)</td>
<td align="center" valign="top">1,891 (1,665&#x02013;2,380)</td>
</tr>
<tr>
<td align="left" valign="top">CD4 (%)</td>
<td align="center" valign="top">NA</td>
<td align="center" valign="top">32 (22&#x02013;38)</td>
<td align="center" valign="top">24 (21&#x02013;38.5)</td>
<td align="center" valign="top">36 (29&#x02013;42)</td>
</tr>
<tr>
<td align="left" valign="top">CD4 count (cells/mm<sup>3</sup>)</td>
<td align="center" valign="top">NA</td>
<td align="center" valign="top">497 (292&#x02013;570)</td>
<td align="center" valign="top">494 (377&#x02013;815)</td>
<td align="center" valign="top">723 (602&#x02013;863)</td>
</tr>
<tr>
<td align="left" valign="top">CD8 (%)</td>
<td align="center" valign="top">NA</td>
<td align="center" valign="top">45 (31&#x02013;58)</td>
<td align="center" valign="top">48 (40.5&#x02013;53)</td>
<td align="center" valign="top">40 (35&#x02013;43)</td>
</tr>
<tr>
<td align="left" valign="top">CD8 count (cells/mm<sup>3</sup>)</td>
<td align="center" valign="top">NA</td>
<td align="center" valign="top">552 (364&#x02013;1,170)</td>
<td align="center" valign="top">956 (590&#x02013;1,229)</td>
<td align="center" valign="top">704 (542&#x02013;993)</td>
</tr>
<tr>
<td align="left" valign="top">CD4/CD8 ratio</td>
<td align="center" valign="top">NA</td>
<td align="center" valign="top">0.7 (0.4&#x02013;1.3)</td>
<td align="center" valign="top">0.6 (0.4&#x02013;0.9)</td>
<td align="center" valign="top">0.9 (0.7&#x02013;1.1)</td>
</tr>
<tr>
<td align="left" valign="top">Individuals seropositive for CMV</td>
<td align="center" valign="top">60%</td>
<td align="center" valign="top">79%</td>
<td align="center" valign="top">88.2%</td>
<td align="center" valign="top">86.3%</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>Data are expressed as median (interquartile ranges)</italic>.</p>
<p><italic>NA, not available</italic>.</p></table-wrap-foot>
</table-wrap>
</sec>
<sec id="S3-2">
<title>Distribution of &#x003B3;&#x003B4; T Cells and Its Subsets in PHI and CHI</title>
<p>We first analyzed the proportion of &#x003B3;&#x003B4; T cells and the distribution of its subsets, V&#x003B4;2<sup>&#x0002B;</sup> and V&#x003B4;2<sup>&#x02212;</sup> cells in PBMCs. Representative flow cytometric staining and gating strategy for &#x003B3;&#x003B4; T cells is shown in Figure S1 in Supplementary Material. We found that the frequency of &#x003B3;&#x003B4; T cells was similar between PHI patients and HD [PHI: median 3.5% IQR (3&#x02013;7.3), HD 3.4% (2.2&#x02013;6)]. In contrast, a significant increase in the proportion of &#x003B3;&#x003B4; T cells was observed in the UT-CHI patients compared to HD [UT-CHI 9.1% (5&#x02013;12.5), <italic>p</italic>&#x02009;&#x0003D;&#x02009;0.0002] (Figure <xref ref-type="fig" rid="F1">1</xref>A). We also observed that the distribution of V&#x003B4;2<sup>&#x02212;</sup>/V&#x003B4;2<sup>&#x0002B;</sup> subpopulations within &#x003B3;&#x003B4; T cells was inversed in HIV-infected patients compared to HD irrespective of the stage of infection (<italic>p</italic> values compared to HD: PHI 0.0008, UT-CHI&#x02009;&#x0003C;&#x02009;0.0001, ART-CHI 0.0002) (Figures <xref ref-type="fig" rid="F1">1</xref>B,C). In addition, we found that the ratio of V&#x003B4;2<sup>&#x02212;</sup>/V&#x003B4;2<sup>&#x0002B;</sup> cells was slightly higher in UT-CHI compared to PHI (<italic>p</italic>&#x02009;&#x0003D;&#x02009;0.04) (Figure <xref ref-type="fig" rid="F1">1</xref>C). Next, we calculated absolute numbers of &#x003B3;&#x003B4; T cells and its subsets from total lymphocyte counts and compared it between different groups of HIV-infected patients. Similar to &#x003B3;&#x003B4; T cell frequency, we found an increase in &#x003B3;&#x003B4; T cell numbers in UT-CHI compared to PHI [114 (71&#x02013;201) vs 38 (12&#x02013;74), <italic>p</italic>&#x02009;&#x0003D;&#x02009;0.002] whereas both groups had comparable lymphocyte counts (Figure <xref ref-type="fig" rid="F1">1</xref>D; Table <xref ref-type="table" rid="T1">1</xref>). In parallel, the absolute numbers of V&#x003B4;2<sup>&#x02212;</sup> cells were also elevated in UT-CHI compared to PHI [95 (51&#x02013;161) vs 20 (9&#x02013;69), <italic>p</italic>&#x02009;&#x0003D;&#x02009;0.003] (Figure <xref ref-type="fig" rid="F1">1</xref>E). In contrast, there was no significant difference in the absolute numbers of V&#x003B4;2<sup>&#x0002B;</sup> cells between the different groups of HIV-infected patients (Figure <xref ref-type="fig" rid="F1">1</xref>F). In ART-CHI patients, the frequency of &#x003B3;&#x003B4; T cells [4.2% (3.1&#x02013;7.1)], and the absolute numbers of both &#x003B3;&#x003B4; T cells [68 (41&#x02013;100)] and its subset, V&#x003B4;2<sup>&#x02212;</sup> cells [43 (15&#x02013;75)] (Figures <xref ref-type="fig" rid="F1">1</xref>A,D,E), were lower than in UT-CHI patients. Furthermore, we observed that there was a positive correlation between &#x003B3;&#x003B4; T cell numbers and the ratio of V&#x003B4;2<sup>&#x02212;</sup>/V&#x003B4;2<sup>&#x0002B;</sup> cells in the whole population of HIV-infected patients (<italic>r</italic>&#x02009;&#x0003D;&#x02009;0.44, <italic>p</italic>&#x02009;&#x0003D;&#x02009;0.0004) (Figure <xref ref-type="fig" rid="F1">1</xref>G).</p>
<fig id="F1" position="float">
<label>Figure 1</label>
<caption><p>Distribution of &#x003B3;&#x003B4; T cells and its subsets in peripheral blood. Peripheral blood mononuclear cells were stained <italic>ex vivo</italic> for &#x003B3;&#x003B4; T cells, as well as its subsets (V&#x003B4;2<sup>&#x02212;</sup> and V&#x003B4;2<sup>&#x0002B;</sup>), and compared between healthy donors (HD), and patients with primary HIV infection (PHI), as well as chronic HIV infection (CHI)&#x02014;untreated (UT) and treated with ART (ART). <bold>(A)</bold> Frequency of &#x003B3;&#x003B4; T cells among T cells. <bold>(B)</bold> Graphical representation of frequencies of V&#x003B4;2<sup>&#x02212;</sup> and V&#x003B4;2<sup>&#x0002B;</sup> cells within &#x003B3;&#x003B4; T cells. <bold>(C)</bold> Comparison of the ratio of V&#x003B4;2<sup>&#x02212;</sup>/V&#x003B4;2<sup>&#x0002B;</sup> cells among &#x003B3;&#x003B4; T cells. Comparison of absolute numbers of <bold>(D)</bold> &#x003B3;&#x003B4; T cells, <bold>(E)</bold> V&#x003B4;2<sup>&#x02212;</sup> cells, and <bold>(F)</bold> V&#x003B4;2<sup>&#x0002B;</sup> cells between PHI, untreated chronic HIV infection (UT-CHI), and ART-CHI. <bold>(G)</bold> Correlation between absolute count of &#x003B3;&#x003B4; T cells and log<sub>10</sub> V&#x003B4;2<sup>&#x02212;</sup>/V&#x003B4;2<sup>&#x0002B;</sup> ratio among &#x003B3;&#x003B4; T cells in all HIV-infected patients. Data are displayed as median and IQR. Mann&#x02013;Whitney and Spearman rank correlation tests were performed. Spearman rank correlation coefficient (<italic>r</italic>) is indicated in the panel. <italic>p</italic>-Values are indicated as significant when &#x0003C;0.05; ns, non-significant.</p></caption>
<graphic xlink:href="fimmu-08-01189-g001.tif"/>
</fig>
</sec>
<sec id="S3-3">
<title>&#x003B3;&#x003B4; T Cell Frequency Is Negatively Correlated with CD8 T-Cell Activation in PHI</title>
<p>In viremic patients (PHI and UT-CHI), we observed that the frequency of &#x003B3;&#x003B4; T cells positively correlated with the proportion of activated CD38<sup>&#x0002B;</sup> &#x003B3;&#x003B4; T cells (<italic>r</italic>&#x02009;&#x0003D;&#x02009;0.51, <italic>p</italic>&#x02009;&#x0003D;&#x02009;0.001) (Figure <xref ref-type="fig" rid="F2">2</xref>A). To further ascertain the dynamic changes in primary and chronic stages of infection, we analyzed the two groups separately. Interestingly, we found in PHI patients a negative correlation between the proportion of &#x003B3;&#x003B4; T cells and the proportion of CD38<sup>&#x0002B;</sup>HLA-DR<sup>&#x0002B;</sup>CD8 T cells (<italic>r</italic>&#x02009;&#x0003D;&#x02009;-0.53, <italic>p</italic>&#x02009;&#x0003D;&#x02009;0.01) (Figure <xref ref-type="fig" rid="F2">2</xref>B). In contrast, a positive correlation was observed between the proportion of &#x003B3;&#x003B4; T cells and CD8 T-cell activation in UT-CHI patients (<italic>r</italic>&#x02009;&#x0003D;&#x02009;0.53, <italic>p</italic>&#x02009;&#x0003D;&#x02009;0.02) (Figure <xref ref-type="fig" rid="F2">2</xref>C). Moreover, &#x003B3;&#x003B4; T-cell activation and CD8 T-cell activation did not correlate in PHI patients (Figure <xref ref-type="fig" rid="F2">2</xref>D). In contrast, in UT-CHI patients %CD38<sup>&#x0002B;</sup>&#x003B3;&#x003B4; T cells positively correlated with %CD38<sup>&#x0002B;</sup>CD8 T cells (<italic>r</italic>&#x02009;&#x0003D;&#x02009;0.84, <italic>p</italic>&#x02009;&#x0003C;&#x02009;0.0001) (Figure <xref ref-type="fig" rid="F2">2</xref>E) indicating that generalized chronic immune activation in UT-CHI patients also included activation of &#x003B3;&#x003B4; T cells.</p>
<fig id="F2" position="float">
<label>Figure 2</label>
<caption><p>Frequency of &#x003B3;&#x003B4; T cells is negatively correlated with CD8 T cell activation in primary HIV infection (PHI). <bold>(A)</bold> Relationship between the frequency of &#x003B3;&#x003B4; T cells and the proportion of CD38<sup>&#x0002B;</sup> &#x003B3;&#x003B4; T cells in viremic patients [PHI and untreated chronic HIV infection (UT-CHI)]. <bold>(B,C)</bold> Correlation analysis between the frequency of &#x003B3;&#x003B4; T cells and the proportion of CD38<sup>&#x0002B;</sup>HLA-DR<sup>&#x0002B;</sup> CD8 T cells in PHI and UT-CHI. <bold>(D,E)</bold> Correlation between the frequencies of CD38<sup>&#x0002B;</sup> &#x003B3;&#x003B4; T cells and CD38<sup>&#x0002B;</sup>CD8 T cells in PHI or UT-CHI. Spearman rank correlation coefficients (<italic>r</italic>) and corresponding <italic>p</italic> values are indicated in each panel; <italic>p</italic>-values are indicated as significant when &#x0003C;0.05; ns, non-significant.</p></caption>
<graphic xlink:href="fimmu-08-01189-g002.tif"/>
</fig>
</sec>
<sec id="S3-4">
<title>Activated V&#x003B4;2<sup>&#x0002B;</sup> &#x003B3;&#x003B4; T Cells in PHI Exhibit Low Level of Terminal Differentiation Compared to UT-CHI</title>
<p>As reported before (<xref ref-type="bibr" rid="B26">26</xref>), &#x003B3;&#x003B4; T cells from HIV-infected patients showed higher levels of CD38. However, the difference between the phenotypic profile of V&#x003B4;2<sup>&#x0002B;</sup> and V&#x003B4;2<sup>&#x02212;</sup> &#x003B3;&#x003B4; T cells in the context of HIV infection has not been well characterized. We therefore assessed the activation state, the capacity to proliferate and to differentiate to effector cells of both &#x003B3;&#x003B4; T-cell subsets in PHI and CHI. In viremic patients (PHI and UT-CHI), we found that both V&#x003B4;2<sup>&#x0002B;</sup> and V&#x003B4;2<sup>&#x02212;</sup> cells expressed higher levels of CD38 compared to HD (Figure <xref ref-type="fig" rid="F3">3</xref>A). On the other hand, Ki-67 expression on V&#x003B4;2<sup>&#x0002B;</sup> and V&#x003B4;2<sup>&#x02212;</sup> cells was strongest in PHI followed by UT-CHI (Figure <xref ref-type="fig" rid="F3">3</xref>B). The proportion of CD45RA<sup>&#x0002B;</sup>CD27<sup>&#x02212;</sup> (terminally differentiated, T<sub>EMRA</sub>) population within the V&#x003B4;2<sup>&#x02212;</sup> compartment was elevated in both PHI and UT-CHI patients compared to HD. In contrast, among V&#x003B4;2<sup>&#x0002B;</sup> cells, terminal differentiation was found to be significantly lower in PHI compared to UT-CHI; the level was similar to that observed in HD (Figure <xref ref-type="fig" rid="F3">3</xref>C).</p>
<fig id="F3" position="float">
<label>Figure 3</label>
<caption><p>Phenotypic profile of V&#x003B4;2<sup>&#x02212;</sup> and V&#x003B4;2<sup>&#x0002B;</sup> &#x003B3;&#x003B4; T cells. Comparison of frequencies of V&#x003B4;2<sup>&#x02212;</sup> and V&#x003B4;2<sup>&#x0002B;</sup> &#x003B3;&#x003B4; T cells expressing the following phenotype <bold>(A)</bold> CD38<sup>&#x0002B;</sup>, <bold>(B)</bold> Ki-67<sup>&#x0002B;</sup>, and <bold>(C)</bold> CD45RA<sup>&#x0002B;</sup>CD27<sup>&#x02212;</sup> between healthy donors (HD), and patients with primary HIV infection (PHI) as well as chronic HIV infection (CHI)&#x02014;untreated (UT) and treated with ART (ART). Data are displayed as median and IQR. Mann&#x02013;Whitney test was performed. <italic>p</italic>-Values are indicated as significant when &#x0003C;0.05; ns, non-significant.</p></caption>
<graphic xlink:href="fimmu-08-01189-g003.tif"/>
</fig>
<p>In ART-CHI patients, the proportions of CD38<sup>&#x0002B;</sup>V&#x003B4;2<sup>&#x0002B;</sup> and CD38<sup>&#x0002B;</sup>V&#x003B4;2<sup>&#x02212;</sup> cells were lower compared to UT-CHI patients with levels comparable to HD (Figure <xref ref-type="fig" rid="F3">3</xref>A). However, the same was not observed for Ki-67 expression on V&#x003B4;2<sup>&#x0002B;</sup> cells as UT-CHI patients exhibited relatively lower frequency of Ki-67<sup>&#x0002B;</sup>V&#x003B4;2<sup>&#x0002B;</sup> cells compared to HD (Figure <xref ref-type="fig" rid="F3">3</xref>B). Further, in ART-CHI patients, the frequency of T<sub>EMRA</sub> cells in the V&#x003B4;2<sup>&#x0002B;</sup> subset and to a lesser extent in the V&#x003B4;2<sup>&#x02212;</sup> subset was lower than in UT-CHI. The level was comparable to HD for the V&#x003B4;2<sup>&#x0002B;</sup> subset (Figure <xref ref-type="fig" rid="F3">3</xref>C).</p>
<p>Overall, in all study groups (HD, PHI, UT-CHI, and ART-CHI), the V&#x003B4;2<sup>&#x0002B;</sup> subset comprised a lower proportion of activated (CD38) and terminally differentiated cells (CD45RA<sup>&#x0002B;</sup>CD27<sup>&#x02212;</sup>) compared to the V&#x003B4;2<sup>&#x02212;</sup> subset (Figure S2 in Supplementary Material). The frequency of Ki-67<sup>&#x0002B;</sup> cells was also lower in the V&#x003B4;2<sup>&#x0002B;</sup> subset compared to the V&#x003B4;2<sup>&#x02212;</sup> subset though the difference was not significant in all study groups.</p>
<p>To sum up, V&#x003B4;2<sup>&#x0002B;</sup> cells in PHI patients were activated to similar levels as in UT-CHI patients but exhibited significantly lower levels of terminal differentiation.</p>
</sec>
<sec id="S3-5">
<title>Anti-inflammatory Cytokine Profile of V&#x003B4;2<sup>&#x0002B;</sup> &#x003B3;&#x003B4; T Cells in PHI</title>
<p>We observed a strong positive relationship between the frequency of V&#x003B4;2<sup>&#x02212;</sup> T<sub>EMRA</sub> cells and the number of V&#x003B4;2<sup>&#x02212;</sup> cells in viremic patients (<italic>r</italic>&#x02009;&#x0003D;&#x02009;0.54, <italic>p</italic>&#x02009;&#x0003D;&#x02009;0.0006) (Figure <xref ref-type="fig" rid="F4">4</xref>A). In contrast, we did not find such association for V&#x003B4;2<sup>&#x0002B;</sup> cells (Figure <xref ref-type="fig" rid="F4">4</xref>B). Furthermore, in PHI patients there was positive correlation between %CD38<sup>&#x0002B;</sup>V&#x003B4;2<sup>&#x0002B;</sup> cells and %Ki-67<sup>&#x0002B;</sup>V&#x003B4;2<sup>&#x0002B;</sup> cells indicating that V&#x003B4;2<sup>&#x0002B;</sup> cells were not just activated but were also undergoing cellular proliferation (<italic>r</italic>&#x02009;&#x0003D;&#x02009;0.52, <italic>p</italic>&#x02009;&#x0003D;&#x02009;0.02) (Figure <xref ref-type="fig" rid="F4">4</xref>C). Following our observation that in PHI, frequency of &#x003B3;&#x003B4; T cells negatively correlated with CD8 T-cell activation and that the V&#x003B4;2<sup>&#x0002B;</sup> subset exhibited low level of terminal differentiation, we wanted to investigate their functional competence. The left panels of Figures <xref ref-type="fig" rid="F4">4</xref>D,E illustrate representative flow cytometry staining of IFN-&#x003B3; and TGF-&#x003B2; production following anti-CD3/-CD28 and IPP stimulation, respectively. We found in PHI a lower proportion of V&#x003B4;2<sup>&#x0002B;</sup> cells producing IFN-&#x003B3; compared to UT-CHI [PHI 11.8% (4.8&#x02013;15.7), UT-CHI 31.1% (20&#x02013;37.7), <italic>p</italic>&#x02009;&#x0003D;&#x02009;0.0003] (Figure <xref ref-type="fig" rid="F4">4</xref>D). Conversely, V&#x003B4;2<sup>&#x0002B;</sup> cells produced more TGF-&#x003B2; in PHI patients than in UT-CHI patients [PHI 3.8% (2.0&#x02013;7.8), UT-CHI 0.7% (0.2&#x02013;1.4), <italic>p</italic>&#x02009;&#x0003D;&#x02009;0.0008] (Figure <xref ref-type="fig" rid="F4">4</xref>E). We also observed that the proportion of TGF-&#x003B2;<sup>&#x0002B;</sup>V&#x003B4;2<sup>&#x0002B;</sup> cells negatively correlated with the proportion of V&#x003B4;2<sup>&#x0002B;</sup> T<sub>EMRA</sub> cells in viremic patients (data not shown). Interestingly, the ratio of the frequencies of TGF-&#x003B2;<sup>&#x0002B;</sup>/IFN-&#x003B3;<sup>&#x0002B;</sup>V&#x003B4;2<sup>&#x0002B;</sup> cells was higher in PHI compared to UT-CHI [PHI 0.3 (0.1&#x02013;0.7), UT-CHI 0.02 (0.01&#x02013;0.05), <italic>p</italic>&#x02009;&#x0003C;&#x02009;0.0001]. The ratio was similar between PHI and HD (Figure <xref ref-type="fig" rid="F4">4</xref>F).</p>
<fig id="F4" position="float">
<label>Figure 4</label>
<caption><p>V&#x003B4;2<sup>&#x0002B;</sup> &#x003B3;&#x003B4; T cells exhibit anti-inflammatory cytokine profile in primary HIV infection (PHI). <bold>(A)</bold> Correlation analyses in viremic patients <bold>(A)</bold> between absolute numbers of V&#x003B4;2<sup>&#x02212;</sup> &#x003B3;&#x003B4; T cells and the proportion of CD45RA<sup>&#x0002B;</sup>CD27<sup>&#x02212;</sup> (T<sub>EMRA</sub>) V&#x003B4;2<sup>&#x02212;</sup> &#x003B3;&#x003B4; T cells, and <bold>(B)</bold> between V&#x003B4;2<sup>&#x0002B;</sup> &#x003B3;&#x003B4; T cells and the proportion of CD45RA<sup>&#x0002B;</sup>CD27<sup>&#x02212;</sup> (T<sub>EMRA</sub>) V&#x003B4;2<sup>&#x0002B;</sup> &#x003B3;&#x003B4; T cells. <bold>(C)</bold> Relationship between the frequency of Ki-67<sup>&#x0002B;</sup>V&#x003B4;2<sup>&#x0002B;</sup> &#x003B3;&#x003B4; T cells and the proportion of CD38<sup>&#x0002B;</sup>V&#x003B4;2<sup>&#x0002B;</sup> &#x003B3;&#x003B4; T cells in PHI patients. <bold>(D)</bold> Representative FACS staining of IFN-&#x003B3; production by V&#x003B4;2<sup>&#x0002B;</sup> and V&#x003B4;2<sup>&#x02212;</sup> &#x003B3;&#x003B4; T cells from a UT-CHI patient with or without CD3/CD28 stimulation for 24&#x02009;h. Comparison of frequencies of IFN-&#x003B3;<sup>&#x0002B;</sup>V&#x003B4;2<sup>&#x0002B;</sup> &#x003B3;&#x003B4; T cells between healthy donors (HD), and patients with primary HIV infection (PHI) as well as chronic HIV infection (CHI)&#x02014;untreated (UT) and treated with ART (ART). <bold>(E)</bold> Representative FACS staining of TGF-&#x003B2; production by V&#x003B4;2<sup>&#x0002B;</sup> &#x003B3;&#x003B4; T cells from a PHI patient with or without 4&#x02009;days of isopentenyl pyrophosphate (IPP) stimulation. Comparison of frequencies of TGF-&#x003B2;<sup>&#x0002B;</sup>V&#x003B4;2<sup>&#x0002B;</sup> &#x003B3;&#x003B4; T cells between HD, PHI, UT-CHI, and ART-CHI. <bold>(F)</bold> Comparison of the ratio of frequencies of TGF-&#x003B2;<sup>&#x0002B;</sup>/IFN-&#x003B3;<sup>&#x0002B;</sup>V&#x003B4;2<sup>&#x0002B;</sup> &#x003B3;&#x003B4; T cells between HD, PHI, UT-CHI, and ART-CHI. Data are displayed as median and IQR. Mann&#x02013;Whitney and Spearman rank correlation tests were performed. Spearman rank correlation coefficients (<italic>r</italic>) are indicated in the panels. <italic>p</italic>-Values are indicated as significant when &#x0003C;0.05; ns, non-significant.</p></caption>
<graphic xlink:href="fimmu-08-01189-g004.tif"/>
</fig>
<p>In ART-treated patients, there was lower proportion of IFN-&#x003B3;<sup>&#x0002B;</sup>V&#x003B4;2<sup>&#x0002B;</sup> cells compared to UT-CHI patients [ART-CHI 12.1% (5.6&#x02013;22), <italic>p</italic>&#x02009;&#x0003D;&#x02009;0.001] (Figure <xref ref-type="fig" rid="F4">4</xref>D), but little or no production of TGF-&#x003B2; [ART-CHI 1% (0.1&#x02013;1.7)] as observed in UT-CHI patients (Figure <xref ref-type="fig" rid="F4">4</xref>E). The ratio of the frequencies of TGF-&#x003B2;<sup>&#x0002B;</sup>/IFN-&#x003B3;<sup>&#x0002B;</sup>V&#x003B4;2<sup>&#x0002B;</sup> cells was low and similar in UT-CHI and ART-CHI patients (Figure <xref ref-type="fig" rid="F4">4</xref>F).</p>
<p>We found that there was no difference in IFN-&#x003B3; production capacity of V&#x003B4;2<sup>&#x02212;</sup> cells between different study groups (Figure S3 in Supplementary Material). Further, unlike V&#x003B4;2<sup>&#x0002B;</sup> cells, V&#x003B4;2<sup>&#x02212;</sup> cells did not produce any TGF-&#x003B2; (data not shown).</p>
<p>To conclude, V&#x003B4;2<sup>&#x0002B;</sup> cells in PHI patients exhibited an anti-inflammatory cytokine production profile with high TGF-&#x003B2; and low IFN-&#x003B3; production.</p>
</sec>
</sec>
<sec id="S4" sec-type="discussion">
<title>Discussion</title>
<p>In this study, we found that the dynamics in &#x003B3;&#x003B4; T cells were distinct in different clinical stages of HIV infection&#x02014;primary vs chronic. First, we observed that the &#x003B3;&#x003B4; T cell frequency was similar between PHI patients and HD; nevertheless, UT-CHI patients exhibited a higher proportion of &#x003B3;&#x003B4; T cells. This observation was in contrast with one study that showed no difference in the proportion and absolute count of &#x003B3;&#x003B4; T cells between healthy controls, acute HIV infection, and slow and fast progressors (<xref ref-type="bibr" rid="B26">26</xref>). However, earlier studies have reported an increase in &#x003B3;&#x003B4; T cells in HIV infection as well as an inverted V&#x003B4;1<sup>&#x0002B;</sup>/V&#x003B4;2<sup>&#x0002B;</sup> ratio, a consequence of expansion of V&#x003B4;1<sup>&#x0002B;</sup> cells and/or depletion of V&#x003B4;2<sup>&#x0002B;</sup> cells (<xref ref-type="bibr" rid="B21">21</xref>, <xref ref-type="bibr" rid="B22">22</xref>, <xref ref-type="bibr" rid="B27">27</xref>). In accordance with them, we also found that there was skewed V&#x003B4;2<sup>&#x02212;</sup>/V&#x003B4;2<sup>&#x0002B;</sup> ratio, which positively correlated with &#x003B3;&#x003B4; T cell numbers in HIV-infected patients including PHI and CHI with or without ART. Second, the proportion of &#x003B3;&#x003B4; T cells negatively correlated with CD8 T-cell activation in PHI, which was in contrast with UT-CHI where we observed a positive correlation. We had previously reported that in PHI patients, the proportion of DN T cells negatively correlated with the proportion of CD38<sup>&#x0002B;</sup>HLA-DR<sup>&#x0002B;</sup>CD8 T cells within the first weeks of acute infection (<xref ref-type="bibr" rid="B13">13</xref>). In addition, the frequency of DN T cells at baseline predicted the level of CD8 T-cell activation at month 6 [i.e., the immune set point (<xref ref-type="bibr" rid="B7">7</xref>)]. Fifty percent of DN T cells expressed the &#x003B3;&#x003B4; TCR. Earlier studies have demonstrated that &#x003B3;&#x003B4; T cells are able to suppress innate and adaptive immune responses (<xref ref-type="bibr" rid="B28">28</xref>&#x02013;<xref ref-type="bibr" rid="B30">30</xref>). Third, we found that V&#x003B4;2<sup>&#x0002B;</sup> &#x003B3;&#x003B4; T cells comprised a significantly lower proportion of terminally differentiated cells in PHI compared to UT-CHI. Furthermore in PHI patients, V&#x003B4;2<sup>&#x0002B;</sup> &#x003B3;&#x003B4; T cells displayed an anti-inflammatory cytokine profile whereas in UT-CHI patients V&#x003B4;2<sup>&#x0002B;</sup> cells exhibited pro-inflammatory cytokine characteristics. Taken together, our findings suggest a potential role of &#x003B3;&#x003B4; T cells as immune regulators in PHI.</p>
<p>Alterations in the phenotype and function of the &#x003B3;&#x003B4; T cell compartment have been observed in several viral infections (<xref ref-type="bibr" rid="B31">31</xref>). In CMV infection, it has been shown that V&#x003B4;2<sup>&#x0002B;</sup> and V&#x003B4;2<sup>&#x02212;</sup> cells display distinct evolution and phenotypic pattern. As opposed to V&#x003B4;2<sup>&#x0002B;</sup> subset, the V&#x003B4;2<sup>&#x02212;</sup> subset was found to express higher levels of CD38 in patients with active CMV infection (<xref ref-type="bibr" rid="B32">32</xref>). During primary CMV infection, Roux et al. reported that activated V&#x003B4;2<sup>&#x02212;</sup> cells directly correlated with CD8 T-cell activation (<xref ref-type="bibr" rid="B32">32</xref>). In our study, we observed that there was a positive association between activated &#x003B3;&#x003B4; T cells and activated CD8 T cells in UT-CHI but not in PHI clearly indicating that during CHI, immune activation encompasses all T-cell subsets. We also found that although level of CD38 expression on V&#x003B4;2<sup>&#x0002B;</sup> cells was similar between PHI and UT-CHI, the %Ki-67<sup>&#x0002B;</sup>V&#x003B4;2<sup>&#x0002B;</sup> cells was significantly higher in PHI compared to UT-CHI indicating active proliferation of these cells during acute infection. A positive correlation of %CD38<sup>&#x0002B;</sup>V&#x003B4;2<sup>&#x0002B;</sup> cells and %Ki-67<sup>&#x0002B;</sup>V&#x003B4;2<sup>&#x0002B;</sup> cells supported this observation. It was recently demonstrated that immune activation can render V&#x003B4;2<sup>&#x0002B;</sup> cells susceptible to HIV infection and serve as latent reservoir for HIV (<xref ref-type="bibr" rid="B25">25</xref>). We found that there was a high ratio of V&#x003B4;2<sup>&#x02212;</sup>/V&#x003B4;2<sup>&#x0002B;</sup> cells in all groups of HIV-infected patients compared to HD. Noteworthy, the absolute numbers of V&#x003B4;2<sup>&#x0002B;</sup> cells remained unperturbed between different groups of HIV patients despite strong activation and cellular proliferation of V&#x003B4;2<sup>&#x0002B;</sup> cells in PHI. We were therefore intrigued by the nature of V&#x003B4;2<sup>&#x0002B;</sup> cells, which motivated us to analyze them further. It is well known that as cells proceed toward terminal differentiation they lose their proliferative potential and effector functions and progress to exhaustion. We observed that such events happened to occur in the V&#x003B4;2<sup>&#x02212;</sup> subset as in viremic patients, the number of V&#x003B4;2<sup>&#x02212;</sup> cells positively correlated with the proportion of terminally differentiated V&#x003B4;2<sup>&#x02212;</sup> cells. In contrast, no such correlation was observed for V&#x003B4;2<sup>&#x0002B;</sup> cells suggesting that V&#x003B4;2<sup>&#x0002B;</sup> subset of &#x003B3;&#x003B4; T cells could be involved in immune regulation in PHI. Both mucosal and circulating V&#x003B4;1<sup>&#x0002B;</sup> cells in CHI have been shown to have high frequency of T<sub>EMRA</sub> cells compared to PHI (<xref ref-type="bibr" rid="B27">27</xref>). Furthermore, in CMV infection, it was observed that the V&#x003B4;2<sup>&#x02212;</sup> subset exhibited predominance of terminally differentiated cells compared to V&#x003B4;2<sup>&#x0002B;</sup> subset (<xref ref-type="bibr" rid="B32">32</xref>, <xref ref-type="bibr" rid="B33">33</xref>). It is suggested that differentiation phenotype described in &#x003B3;&#x003B4; T-cell subsets could be due to the type of stimulus or pathogen they react to (phosphoantigens for V&#x003B4;2<sup>&#x0002B;</sup> &#x003B3;&#x003B4; T cells) (<xref ref-type="bibr" rid="B32">32</xref>). Therefore, to specifically activate V&#x003B4;2<sup>&#x0002B;</sup> cells and investigate their functional capacity, we used IPP as the stimulus. In addition, we used mAbs against CD3 and CD28 to stimulate both V&#x003B4;2<sup>&#x0002B;</sup> and V&#x003B4;2<sup>&#x02212;</sup> cells and to assess and compare their cytokine production in PHI and CHI. We found that V&#x003B4;2<sup>&#x0002B;</sup> cells were able to produce both the anti-inflammatory cytokine TGF-&#x003B2; as well as the pro-inflammatory cytokine IFN-&#x003B3;. Interestingly, there was a high %TGF-&#x003B2;<sup>&#x0002B;</sup> but low frequency of IFN-&#x003B3; producers among V&#x003B4;2<sup>&#x0002B;</sup> cells in PHI patients compared to UT-CHI patients. In viremic patients, the %TGF-&#x003B2;<sup>&#x0002B;</sup>V&#x003B4;2<sup>&#x0002B;</sup> cells negatively correlated with the %V&#x003B4;2<sup>&#x0002B;</sup> T<sub>EMRA</sub> cells indicating that higher was the terminal differentiation of V&#x003B4;2<sup>&#x0002B;</sup> cells the lower was their ability to produce TGF-&#x003B2;. In addition, we observed that the ratio of TGF-&#x003B2;<sup>&#x0002B;</sup>/IFN-&#x003B3;<sup>&#x0002B;</sup>V&#x003B4;2<sup>&#x0002B;</sup> cells was significantly higher in PHI compared to UT-CHI indicating the conversion of V&#x003B4;2<sup>&#x0002B;</sup> cells from an anti-inflammatory cytokine profile in PHI to pro-inflammatory profile in UT-CHI.</p>
<p>Both V&#x003B4;1<sup>&#x0002B;</sup> and V&#x003B4;2<sup>&#x0002B;</sup> cells have been shown to be able to produce TGF-&#x003B2; upon <italic>in vitro</italic> stimulation with anti-human TCR V&#x003B4;1 and CD3/CD28, respectively (<xref ref-type="bibr" rid="B29">29</xref>, <xref ref-type="bibr" rid="B34">34</xref>). V&#x003B4;2<sup>&#x0002B;</sup> cells can also suppress T cell proliferation and IL-2 production <italic>via</italic> interaction of CD86 with CTLA-4 on activated CD4 T cells (<xref ref-type="bibr" rid="B30">30</xref>). It is known that IFN-&#x003B3; along with other inflammatory cytokines contributes to the establishment of chronic immune activation during HIV infection (<xref ref-type="bibr" rid="B35">35</xref>). On the other hand, TGF-&#x003B2; has been shown to regulate T cell responses by suppressing their proliferation and IL-2 production (<xref ref-type="bibr" rid="B36">36</xref>). We previously showed that systemic immune activation in primary HIV infection is primarily driven by the virus and innate immune responses. Microbial translocation probably does not occur at the time of early PHI (<xref ref-type="bibr" rid="B37">37</xref>, <xref ref-type="bibr" rid="B38">38</xref>) despite a loss of intestinal mucosal integrity (<xref ref-type="bibr" rid="B39">39</xref>, <xref ref-type="bibr" rid="B40">40</xref>). Our findings in this study suggest that, &#x003B3;&#x003B4; T cells, particularly V&#x003B4;2<sup>&#x0002B;</sup> cells, might play a role in the control of excessive T-cell activation in PHI through production of TGF-&#x003B2;. In contrast, in UT-CHI, the regulatory capacity of V&#x003B4;2<sup>&#x0002B;</sup> cells is overridden by the presence of viral replication, pro-inflammatory cytokines and other soluble factors that are driving systemic immune activation. The fact that we observed a negative correlation of &#x003B3;&#x003B4; T cell frequency with CD8 T-cell activation in PHI, but found no such association with either the V&#x003B4;2<sup>&#x0002B;</sup> or V&#x003B4;2<sup>&#x02212;</sup> subset when assessed separately (data not shown), suggests that probably both subsets work in partnership as immune regulators in PHI. It has been demonstrated that V&#x003B4;1<sup>&#x0002B;</sup> cells can also produce TGF-&#x003B2; (<xref ref-type="bibr" rid="B34">34</xref>). We therefore cannot rule out the possibility that V&#x003B4;2<sup>&#x02212;</sup> cells producing TGF-&#x003B2; may also play a role in the control of immune activation in PHI.</p>
<p>Although ART results in a dramatic decrease in HIV viremia and systemic immune activation, the level of residual immune activation does not necessarily reach that of HIV-uninfected individuals, especially in patients treated late in the chronic phase of infection (<xref ref-type="bibr" rid="B8">8</xref>, <xref ref-type="bibr" rid="B9">9</xref>). In our study, we found that in ART-CHI patients, the proportion of activated as well as terminally differentiated V&#x003B4;2<sup>&#x0002B;</sup> cells was reduced to the level of HD. It has been shown that despite the reconstitution of TCR repertoire, the numbers and functions of V&#x003B4;2<sup>&#x0002B;</sup> cells are not totally restored even after prolonged ART (<xref ref-type="bibr" rid="B41">41</xref>). Consistent with these reports we found that although the frequency of &#x003B3;&#x003B4; T cells was reinstated in ART-CHI patients compared to UT-CHI patients, the ratio of V&#x003B4;2<sup>&#x02212;</sup>/V&#x003B4;2<sup>&#x0002B;</sup> cells remained impaired. IFN-&#x003B3; levels in serum are shown to decline in HIV-infected patients after initiation of ART (<xref ref-type="bibr" rid="B35">35</xref>). We also found that the proportion of IFN-&#x003B3;<sup>&#x0002B;</sup>V&#x003B4;2<sup>&#x0002B;</sup> cells was reduced in ART-CHI compared to UT-CHI patients. In contrast, the frequency of TGF-&#x003B2; producing V&#x003B4;2<sup>&#x0002B;</sup> cells did not recover in ART-CHI patients. Moreover, the ratio of TGF-&#x003B2;<sup>&#x0002B;</sup>/IFN-&#x003B3;<sup>&#x0002B;</sup>V&#x003B4;2<sup>&#x0002B;</sup> cells was similar between UT-CHI and ART-CHI patients indicating that there was a lasting damage to the regulatory capacity of V&#x003B4;2<sup>&#x0002B;</sup> cells in CHI patients despite effective ART.</p>
<p>There were some limitations in our study. The cross-sectional nature of this study provided valuable insight into the phenotypic characteristics and functional capacities of &#x003B3;&#x003B4; T cells in different stages of infection&#x02014;primary, UT chronic and ART-treated chronic. However, a longitudinal design would have allowed individual follow up on the evolution of &#x003B3;&#x003B4; T cell features during the course of infection. The benefit of a cross-sectional design was that we have analyzed patients who have initiated ART during the chronic phase. A longitudinal design would have been limited to the analysis of patients who had been treated early during chronic infection, the current situation for about 50% of the patients in the real life in Europe (<xref ref-type="bibr" rid="B42">42</xref>). Our study focused on analysis of &#x003B3;&#x003B4; T cells in peripheral blood. We had no access to tissue samples, particularly from the gastro-intestinal tract. Analyses of tissues would have allowed a better understanding of the dynamic changes in the distribution of &#x003B3;&#x003B4; T cell subsets and their functions.</p>
<p>In summary, we report on the potential role of &#x003B3;&#x003B4; T cells in the control of immune activation in PHI. We showed that the proportion of &#x003B3;&#x003B4; T cells negatively correlated with CD8 T-cell activation in PHI patients, and that the V&#x003B4;2<sup>&#x0002B;</sup> subset was probably the predominant player mediating its effect <italic>via</italic> production of the anti-inflammatory cytokine, TGF-&#x003B2;. Furthermore, we found that there was a sustainable loss in the immune regulatory capacity of V&#x003B4;2<sup>&#x0002B;</sup> &#x003B3;&#x003B4; T cells in CHI as there was no recovery observed in their function even in ART-treated patients with median duration of suppressed viral load of more than 5&#x02009;years. Thus based on our data, we believe that therapies aiming to restore the functional properties of V&#x003B4;2<sup>&#x0002B;</sup> &#x003B3;&#x003B4; T-cell subset in CHI should be considered.</p>
</sec>
<sec id="S5">
<title>Ethics Statement</title>
<p>This study was carried out in accordance with the recommendations of &#x0201C;French ethical laws&#x0201D; with written informed consent from all patients. All patients gave written informed consent in accordance with the Declaration of Helsinki. The protocol was approved by &#x0201C;The ethical committee of Ile de France IV.&#x0201D;</p>
</sec>
<sec id="S6" sec-type="author-contributor">
<title>Author Contributions</title>
<p>LW designed and supervised the study. NB and LW contributed to experimental design and wrote the manuscript. NB analyzed the data. NB, ML-G, and CDi performed experiments. P-MG, LC, DB, and CDu included patients. CJ collected and analyzed clinical data. CP implemented and managed the project. P-MG and DS-A reviewed the manuscript.</p>
</sec>
<sec id="S7">
<title>Conflict of Interest Statement</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>
<back>
<ack>
<p>The authors thank all patients who participated in this study. The authors thank Rita Affa who provided support for on-site project implementation, and management of ethical and regulatory clearance under the supervision of Nathalie Jolly, Head of the CRT Clinical Core, Institut Pasteur, Paris. The authors thank Institut Pasteur, Paris, for promoting the study.</p>
</ack>
<fn-group>
<fn fn-type="financial-disclosure">
<p><bold>Funding.</bold> This work was supported by the Agence Nationale de Recherches sur le SIDA et les H&#x000E9;patites Virales (ANRS). NB received a grant from ANRS, France Recherche Nord &#x00026; Sud SIDA-HIV Hepatites.</p></fn>
</fn-group>
<sec id="S8" sec-type="supplementary-material">
<title>Supplementary Material</title>
<p>The Supplementary Material for this article can be found online at <uri xlink:href="http://journal.frontiersin.org/article/10.3389/fimmu.2017.01189/full&#x00023;supplementary-material">http://journal.frontiersin.org/article/10.3389/fimmu.2017.01189/full&#x00023;supplementary-material</uri>.</p>
<supplementary-material xlink:href="image_1.jpeg" id="SM1" mimetype="applicationn/jpeg" xmlns:xlink="http://www.w3.org/1999/xlink"/>
<supplementary-material xlink:href="image_2.jpeg" id="SM2" mimetype="applicationn/jpeg" xmlns:xlink="http://www.w3.org/1999/xlink"/>
<supplementary-material xlink:href="image_3.jpeg" id="SM3" mimetype="applicationn/jpeg" xmlns:xlink="http://www.w3.org/1999/xlink"/>
</sec>
<sec id="S9">
<title>ANRS-EP56 Group</title>
<p><bold>Nadia Valin</bold>, H&#x000F4;pital Saint Antoine, Paris; <bold>Laurent Fonquernie</bold>, H&#x000F4;pital Saint Antoine, Paris; <bold>Marina Karmochkine</bold>, H&#x000F4;pital Europ&#x000E9;en Georges Pompidou, Paris; <bold>Philippe Castiel</bold>, H&#x000F4;pital Europ&#x000E9;en Georges Pompidou, Paris; <bold>Anne Dumont</bold>, Service des recherches cliniques sur les h&#x000E9;patites virales et le VIH-des recherches fondamentales sur les h&#x000E9;patites virales, ANRS-INSERM, Paris; <bold>Lucie Marchand</bold>, Service des recherches cliniques sur les h&#x000E9;patites virales et le VIH-des recherches fondamentales sur les h&#x000E9;patites virales, ANRS-INSERM, Paris.</p>
</sec>
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