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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.2017.00621</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>Peg-Interferon Lambda Treatment Induces Robust Innate and Adaptive Immunity in Chronic Hepatitis B Patients</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Phillips</surname> <given-names>Sandra</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://frontiersin.org/people/u/398934"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Mistry</surname> <given-names>Sameer</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>Riva</surname> <given-names>Antonio</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://frontiersin.org/people/u/415530"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Cooksley</surname> <given-names>Helen</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>Hadzhiolova-Lebeau</surname> <given-names>Tanya</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Plavova</surname> <given-names>Slava</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Katzarov</surname> <given-names>Krum</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Simonova</surname> <given-names>Marieta</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Zeuzem</surname> <given-names>Stephan</given-names></name>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Woffendin</surname> <given-names>Clive</given-names></name>
<xref ref-type="aff" rid="aff5"><sup>5</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Chen</surname> <given-names>Pei-Jer</given-names></name>
<xref ref-type="aff" rid="aff6"><sup>6</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Peng</surname> <given-names>Cheng-Yuan</given-names></name>
<xref ref-type="aff" rid="aff7"><sup>7</sup></xref>
<uri xlink:href="http://frontiersin.org/people/u/433279"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Chang</surname> <given-names>Ting-Tsung</given-names></name>
<xref ref-type="aff" rid="aff8"><sup>8</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Lueth</surname> <given-names>Stefan</given-names></name>
<xref ref-type="aff" rid="aff9"><sup>9</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>De Knegt</surname> <given-names>Robert</given-names></name>
<xref ref-type="aff" rid="aff10"><sup>10</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Choi</surname> <given-names>Moon-Seok</given-names></name>
<xref ref-type="aff" rid="aff11"><sup>11</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Wedemeyer</surname> <given-names>Heiner</given-names></name>
<xref ref-type="aff" rid="aff12"><sup>12</sup></xref>
<uri xlink:href="http://frontiersin.org/people/u/353291"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Dao</surname> <given-names>Michael</given-names></name>
<xref ref-type="aff" rid="aff13"><sup>13</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Kim</surname> <given-names>Chang-Wook</given-names></name>
<xref ref-type="aff" rid="aff14"><sup>14</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Chu</surname> <given-names>Heng-Chen</given-names></name>
<xref ref-type="aff" rid="aff15"><sup>15</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Wind-Rotolo</surname> <given-names>Megan</given-names></name>
<xref ref-type="aff" rid="aff16"><sup>16</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Williams</surname> <given-names>Roger</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>Cooney</surname> <given-names>Elizabeth</given-names></name>
<xref ref-type="aff" rid="aff6"><sup>6</sup></xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Chokshi</surname> <given-names>Shilpa</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="cor1">&#x0002A;</xref>
<uri xlink:href="http://frontiersin.org/people/u/424175"/>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>Institute of Hepatology, Foundation for Liver Research</institution>, <addr-line>London</addr-line>, <country>United Kingdom</country></aff>
<aff id="aff2"><sup>2</sup><institution>Faculty of Life Sciences and Medicine, King&#x02019;s College London</institution>, <addr-line>London</addr-line>, <country>United Kingdom</country></aff>
<aff id="aff3"><sup>3</sup><institution>Clinic of Gastroenterology and Hepatology, Military Medical Academy</institution>, <addr-line>Sofia</addr-line>, <country>Bulgaria</country></aff>
<aff id="aff4"><sup>4</sup><institution>Johann Wolfgang, Goethe University Medical Center</institution>, <addr-line>Frankfurt</addr-line>, <country>Germany</country></aff>
<aff id="aff5"><sup>5</sup><institution>Oregon Clinical and Translational Research Institute</institution>, <addr-line>Portland, OR</addr-line>, <country>United States</country></aff>
<aff id="aff6"><sup>6</sup><institution>National Taiwan University Hospital</institution>, <addr-line>Taipei</addr-line>, <country>Taiwan</country></aff>
<aff id="aff7"><sup>7</sup><institution>China Medical University Hospital</institution>, <addr-line>Taichung</addr-line>, <country>Taiwan</country></aff>
<aff id="aff8"><sup>8</sup><institution>National Chen Kung University Hospital</institution>, <addr-line>Tainan</addr-line>, <country>Taiwan</country></aff>
<aff id="aff9"><sup>9</sup><institution>University of Hamburg</institution>, <addr-line>Hamburg</addr-line>, <country>Germany</country></aff>
<aff id="aff10"><sup>10</sup><institution>Erasmus University</institution>, <addr-line>Rotterdam</addr-line>, <country>Netherlands</country></aff>
<aff id="aff11"><sup>11</sup><institution>Sungkyunkwan University</institution>, <addr-line>Seoul</addr-line>, <country>South Korea</country></aff>
<aff id="aff12"><sup>12</sup><institution>Hannover Medical School</institution>, <addr-line>Hannover</addr-line>, <country>Germany</country></aff>
<aff id="aff13"><sup>13</sup><institution>Precision Diagnostic Laboratory</institution>, <addr-line>Santa Ana, CA</addr-line>, <country>United States</country></aff>
<aff id="aff14"><sup>14</sup><institution>The Catholic University of Korea</institution>, <addr-line>Seoul</addr-line>, <country>South Korea</country></aff>
<aff id="aff15"><sup>15</sup><institution>Tri-Service General Hospital</institution>, <addr-line>Taipei</addr-line>, <country>Taiwan</country></aff>
<aff id="aff16"><sup>16</sup><institution>Research and Development, Bristol-Myers Squibb</institution>, <addr-line>Wallingford, CT</addr-line>, <country>United States</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Ivan Zanoni, Harvard Medical School, United States</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Marco A. Cassatella, University of Verona, Italy; John P. Vasilakos, 3M Company at St. Paul, United States</p></fn>
<corresp content-type="corresp" id="cor1">&#x0002A;Correspondence: Shilpa Chokshi, <email>s.chokshi&#x00040;researchinliver.org.uk</email></corresp>
<fn fn-type="other" id="fn001"><p>Specialty section: This article was submitted to Molecular Innate Immunity, a section of the journal Frontiers in Immunology</p></fn>
</author-notes>
<pub-date pub-type="epub">
<day>29</day>
<month>05</month>
<year>2017</year>
</pub-date>
<pub-date pub-type="collection">
<year>2017</year>
</pub-date>
<volume>8</volume>
<elocation-id>621</elocation-id>
<history>
<date date-type="received">
<day>16</day>
<month>03</month>
<year>2017</year>
</date>
<date date-type="accepted">
<day>10</day>
<month>05</month>
<year>2017</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x000A9; 2017 Phillips, Mistry, Riva, Cooksley, Hadzhiolova-Lebeau, Plavova, Katzarov, Simonova, Zeuzem, Woffendin, Chen, Peng, Chang, Lueth, De Knegt, Choi, Wedemeyer, Dao, Kim, Chu, Wind-Rotolo, Williams, Cooney and Chokshi.</copyright-statement>
<copyright-year>2017</copyright-year>
<copyright-holder>Phillips, Mistry, Riva, Cooksley, Hadzhiolova-Lebeau, Plavova, Katzarov, Simonova, Zeuzem, Woffendin, Chen, Peng, Chang, Lueth, De Knegt, Choi, Wedemeyer, Dao, Kim, Chu, Wind-Rotolo, Williams, Cooney and Chokshi</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>IFN-lambda (IFN&#x003BB;) is a member of the type III IFN family and is reported to possess anti-pathogen, anti-cancer, and immunomodulatory properties; however, there are limited data regarding its impact on host immune responses <italic>in vivo</italic>. We performed longitudinal and comprehensive immunosurveillance to assess the ability of pegylated (peg)-IFN&#x003BB; to augment antiviral host immunity as part of a clinical trial assessing the efficacy of peg-IFN&#x003BB; in chronic hepatitis B (CHB) patients. These patients were pretreated with directly acting antiviral therapy (entecavir) for 12&#x02009;weeks with subsequent addition of peg-IFN&#x003BB; for up to 32&#x02009;weeks. In a subgroup of patients, the addition of peg-IFN&#x003BB; provoked high serum levels of antiviral cytokine IL-18. We also observed the enhancement of natural killer cell polyfunctionality and the recovery of a pan-genotypic HBV-specific CD4<sup>&#x0002B;</sup> T cells producing IFN-&#x003B3; with maintenance of HBV-specific CD8<sup>&#x0002B;</sup> T cell antiviral and cytotoxic activities. It was only in these patients that we observed strong virological control with reductions in both viral replication and HBV antigen levels. Here, we show for the first time that <italic>in vivo</italic> peg-IFN&#x003BB; displays significant immunostimulatory properties with improvements in the main effectors mediating anti-HBV immunity. Interestingly, the maintenance in HBV-specific CD8<sup>&#x0002B;</sup> T cells in the presence of peg-IFN&#x003BB; is in contrast to previous studies showing that peg-IFN&#x003B1; treatment for CHB results in a detrimental effect on the functionality of this important antiviral T cell compartment.</p>
<p>Clinical Trial Registration: <uri xlink:href="http://ClinicalTrials.gov">ClinicalTrials.gov</uri> NCT01204762.</p>
</abstract>
<kwd-group>
<kwd>peg-interferon lambda</kwd>
<kwd>direct antiviral</kwd>
<kwd>hepatitis B</kwd>
<kwd>immunity</kwd>
<kwd><italic>in vivo</italic></kwd>
</kwd-group>
<counts>
<fig-count count="4"/>
<table-count count="3"/>
<equation-count count="0"/>
<ref-count count="79"/>
<page-count count="13"/>
<word-count count="8635"/>
</counts>
</article-meta>
</front>
<body>
<sec id="S1" sec-type="introduction">
<title>Introduction</title>
<p>Type I and type III interferons are the primary mediators of antiviral protection and the main therapeutic protagonists include IFN-alpha (IFN-&#x003B1;) and IFN-lambda (IFN&#x003BB;; IL-29), respectively. The immune-mediating properties of IFN-&#x003B1; have been extensively described both <italic>in vivo</italic> and <italic>in vitro</italic> in the context of many diseases (<xref ref-type="bibr" rid="B1">1</xref>&#x02013;<xref ref-type="bibr" rid="B5">5</xref>). However, little is understood about the immunomodulatory properties of IFN&#x003BB; in different disease states.</p>
<p>Both type I and III interferons have been shown to play an important role in control of HBV replication (<xref ref-type="bibr" rid="B6">6</xref>). Indeed, IFN-&#x003B1; has been used as a treatment strategy for chronic hepatitis B (CHB) for over 40&#x02009;years; however, its efficacy is suboptimal with resolution of infection being achieved in &#x0003C;7% patients (<xref ref-type="bibr" rid="B7">7</xref>, <xref ref-type="bibr" rid="B8">8</xref>). This is marginally improved during combination treatment with potent directly acting antiviral agents, such as entecavir (ETV) or tenofovir, but still remains inadequate with functional cure being achieved in only 15% of patients (<xref ref-type="bibr" rid="B9">9</xref>&#x02013;<xref ref-type="bibr" rid="B11">11</xref>). The root cause of this may be immunological in nature. IFN-&#x003B1; has a dual mechanism of action in CHB, first, a direct antiviral effect achieved through inhibiting the synthesis of viral DNA, virus particles, and activation of antiviral enzymes, and second, an augmentation of antiviral host immunity (<xref ref-type="bibr" rid="B8">8</xref>). In CHB, IFN-&#x003B1; treatment induces narrowly focused immune responses restricted to activation of the innate immunity with little impact on reactivating stagnant HBV-specific adaptive immune responses which are central to long-term control of infection (<xref ref-type="bibr" rid="B12">12</xref>&#x02013;<xref ref-type="bibr" rid="B15">15</xref>).</p>
<p>The precise role and activity of IFN&#x003BB; as an immunomodulator is unknown <italic>in vivo</italic> in humans and remains unclear in <italic>in vitro</italic> experiments. Indeed, the immune potentiating functions of IFN&#x003BB; are slowly starting to emerge (<xref ref-type="bibr" rid="B16">16</xref>&#x02013;<xref ref-type="bibr" rid="B20">20</xref>). Early data suggests that although IFN&#x003BB; activates the same signaling pathway as IFN-&#x003B1;, their temporal activation of ISGs as well as the induction of an antiviral response is different (<xref ref-type="bibr" rid="B6">6</xref>, <xref ref-type="bibr" rid="B21">21</xref>, <xref ref-type="bibr" rid="B22">22</xref>). There is also some discrepancy regarding the direct impact of IFN&#x003BB; on immunocytes. Some studies find little or no expression of IFN&#x003BB;R on immune cells, while others show IFN&#x003BB;R expression on both natural killer (NK) and T cells (<xref ref-type="bibr" rid="B16">16</xref>, <xref ref-type="bibr" rid="B18">18</xref>, <xref ref-type="bibr" rid="B19">19</xref>, <xref ref-type="bibr" rid="B23">23</xref>, <xref ref-type="bibr" rid="B24">24</xref>). Further to this, IFN&#x003BB; is also reported to be unable to directly activate NK cell function, influence T cell differentiation, or induce cytokine production by T cells (<xref ref-type="bibr" rid="B25">25</xref>&#x02013;<xref ref-type="bibr" rid="B27">27</xref>). In other studies, however, IFN&#x003BB; stimulates a significant antitumor immunity in murine models (<xref ref-type="bibr" rid="B28">28</xref>) and directly modulates T cell activity with promotion of Th1 and inhibition of Th2 responses (<xref ref-type="bibr" rid="B16">16</xref>, <xref ref-type="bibr" rid="B29">29</xref>, <xref ref-type="bibr" rid="B30">30</xref>). These discrepancies are likely to be due to differences in the cellular, tissue, and animal models utilized and are compounded by a paucity of studies investigating the relationship between IFN&#x003BB; and the host immune response <italic>in vivo</italic> (<xref ref-type="bibr" rid="B17">17</xref>, <xref ref-type="bibr" rid="B18">18</xref>, <xref ref-type="bibr" rid="B25">25</xref>, <xref ref-type="bibr" rid="B27">27</xref>). Defining whether IFN&#x003BB; acts as a broad or narrow immunostimulant <italic>in vivo</italic> in the context of a chronic disease will allow its appropriate therapeutic application in infection and disease.</p>
<p>In this study, we have comprehensively analyzed the impact of IFN&#x003BB; treatment on antiviral immunity in CHB patients. This is an ideal model infection to study the immunostimulatory effects of a therapeutic agent, as persistence of this virus is fundamentally associated with a weak antiviral immune response, characterized by defective NK cells and impaired virus-specific T cell responses (<xref ref-type="bibr" rid="B31">31</xref>&#x02013;<xref ref-type="bibr" rid="B38">38</xref>). Moreover, there is strong evidence demonstrating that the development and re-establishment of innate and adaptive host immunity in CHB is associated with control of infection (<xref ref-type="bibr" rid="B39">39</xref>&#x02013;<xref ref-type="bibr" rid="B43">43</xref>). Therefore, using CHB infection as a model, we have for the first time utilized the structured platform of a clinical trial to dissect the relationship between the innate and adaptive host immune response and IFN&#x003BB;.</p>
</sec>
<sec id="S2" sec-type="materials|methods">
<title>Materials and Methods</title>
<sec id="S2-1">
<title>Study Design and Patients</title>
<p>We performed longitudinal immuno-surveillance of a subgroup of patients participating in a phase 2b clinical study to evaluate the safety, efficacy and tolerability of pegylated IFN&#x003BB; (PegIFN&#x003BB;) in combination with ETV in Hepatitis B e Antigen positive (HBeAg<sup>&#x0002B;</sup>) CHB patients [sponsored by Bristol-Myers Squibb, Wallingford (BMS), CT, USA]. Treatment na&#x000EF;ve, HBeAg<sup>&#x0002B;</sup> CHB patients were recruited in 12 centers world-wide (Portland, California, Frankfurt, Hamburg, Hannover, Rotterdam, Taipei, Tainan, Seoul, and Taichung). The 13 patients (patient characteristics described in Table <xref ref-type="table" rid="T1">1</xref>) received 12&#x02009;weeks of ETV monotherapy (0.5&#x02009;mg/day) followed by up to 32&#x02009;weeks of combination therapy ETV (0.5&#x02009;mg/day)/PegIFN&#x003BB; (180&#x02009;&#x003BC;g/weekly) (Figure <xref ref-type="fig" rid="F1">1</xref>). Clinical parameters [HBV-DNA, HBeAg, hepatitis surface antigen (HBsAg), and alanine aminotransferase (ALT)] were measured in the serum at central laboratories. This study was approved by the Ethics Committee at each recruitment site and informed consent was obtained from all patients before enrollment. The isolation and cryopreservation of peripheral blood mononuclear cells (PBMC) was standardized by supplying each site with a written and video protocol. Prior to patient enrollment, each site performed PBMC isolation dry run which were shipped to the Institute of Hepatology for testing and once PBMCs met standardized criteria of &#x0003E;95% viability and &#x0003E;80% recovery did the sites initiate recruitment and collection of PBMC locally.</p>
<table-wrap position="float" id="T1">
<label>Table 1</label>
<caption><p><bold>Patients characteristics at baseline</bold>.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left">Characteristics</th>
<th valign="top" align="center">Entecavir and IFN-&#x003BB;</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Age (years)<sup>a</sup></td>
<td align="center" valign="top">31.2 (21, 41)</td>
</tr>
<tr>
<td align="left" valign="top">Gender (male/female ratio)</td>
<td align="center" valign="top">10:3</td>
</tr>
<tr>
<td align="left" valign="top" colspan="2"><bold>Racial group (no. of patients)</bold></td>
</tr>
<tr>
<td align="left" valign="top">White</td>
<td align="center" valign="top">1</td>
</tr>
<tr>
<td align="left" valign="top">Asian&#x0002A;</td>
<td align="center" valign="top">12</td>
</tr>
<tr>
<td align="left" valign="top">Asian Indian</td>
<td align="center" valign="top">1</td>
</tr>
<tr>
<td align="left" valign="top">Chinese</td>
<td align="center" valign="top">4</td>
</tr>
<tr>
<td align="left" valign="top">Korean</td>
<td align="center" valign="top">4</td>
</tr>
<tr>
<td align="left" valign="top">Other</td>
<td align="center" valign="top">3</td>
</tr>
<tr>
<td align="left" valign="top">Alanine aminotransferase (IU/ml)<sup>a</sup></td>
<td align="center" valign="top">88.2 (38, 297)</td>
</tr>
<tr>
<td align="left" valign="top">HBV-DNA (Log<sub>10</sub> copies/ml)<sup>a</sup></td>
<td align="center" valign="top">8.3 (6.4, 9.7)</td>
</tr>
<tr>
<td align="left" valign="top" colspan="2"><bold>HBV genotype (no. of patients)</bold></td>
</tr>
<tr>
<td align="left" valign="top">B</td>
<td align="center" valign="top">7</td>
</tr>
<tr>
<td align="left" valign="top">C</td>
<td align="center" valign="top">5</td>
</tr>
<tr>
<td align="left" valign="top">D</td>
<td align="center" valign="top">1</td>
</tr>
<tr>
<td align="left" valign="top">qHBeAg (Log<sub>10</sub> copies/ml)<sup>a</sup></td>
<td align="center" valign="top">2.4 (0.1, 2.8)</td>
</tr>
<tr>
<td align="left" valign="top">qHBsAg (Log<sub>10</sub> copies/ml)<sup>a</sup></td>
<td align="center" valign="top">4.6 (3.9, 5.4)</td>
</tr>
<tr>
<td align="left" valign="top" colspan="2"><bold>IL-28B (no. of patients)</bold></td>
</tr>
<tr>
<td align="left" valign="top">CC</td>
<td align="center" valign="top">9</td>
</tr>
<tr>
<td align="left" valign="top">CT</td>
<td align="center" valign="top">4</td>
</tr>
<tr>
<td align="left" valign="top">Non-cirrhotic</td>
<td align="center" valign="top">13</td>
</tr>
</tbody>
</table>
<table-wrap-foot><p><italic><sup>a</sup>The data are shown as mean (range). &#x0002A;Asian subgroups are detailed below</italic>.</p></table-wrap-foot></table-wrap>
<fig id="F1" position="float">
<label>Figure 1</label>
<caption><p><bold>Study design</bold>. All 13 patients were treated with entecavir (ETV) for 12&#x02009;weeks and subsequently received ETV&#x02009;&#x0002B;&#x02009;pegIFN-&#x003BB;. The weeks of treatment reached by the patients are shown. Peripheral blood mononuclear cells (PBMC) collection are also indicated.</p></caption>
<graphic xlink:href="fimmu-08-00621-g001.tif"/>
</fig>
</sec>
<sec id="S2-2">
<title>PBMC Isolation</title>
<p>Peripheral blood mononuclear cells were isolated from heparinized blood by lymphoprep gradient centrifugation as described previously (<xref ref-type="bibr" rid="B33">33</xref>, <xref ref-type="bibr" rid="B34">34</xref>, <xref ref-type="bibr" rid="B37">37</xref>). The cryopreserved PBMC were stored at &#x02212;80&#x000B0;C at each site and subsequently batch shipped to the Institute of Hepatology for immunological analysis.</p>
</sec>
<sec id="S2-3">
<title>Antigens</title>
<p>Commercially available recombinant HBV nucleocapsid protein (HBcAg) and purified HBsAg were purchased from American Research products, Belmont, MA. HBV genotype A, B, C, and D 15-mers overlapping peptides covering the entire HBcAg and HBsAg region (Proimmune, Oxford, UK) were mixed in pools of five adjacent peptides. The pools were reconstituted at 8&#x02009;mg/ml in dimethyl sulfoxide (DMSO). Recall antigen, tuberculin purified protein derivate (PPD) (Statens Seruminstitut, Copenhagen, Denmark), PMA, inomycin, and phytohemagglutinin (PHA) (Sigma, Poole, UK) were used as positive controls.</p>
</sec>
<sec id="S2-4">
<title>Flow Cytometry</title>
<p>All antibodies used for flow cytometry were purchased from BD Biosciences except when mentioned differently. Cells were acquired after staining on FACSCanto II flow cytometer (BD) and analyzed using FACS DIVA software.</p>
</sec>
<sec id="S2-5">
<title>NK Analysis</title>
<p>Peripheral blood mononuclear cells were surface stained with CD3-BV510, CD16-FITC, CD56-V450, NKG2D-PerCP-eFluor710 (eBioscience), and TRAIL-PE (R&#x00026;D systems) as previously described (<xref ref-type="bibr" rid="B44">44</xref>, <xref ref-type="bibr" rid="B45">45</xref>). To measure the frequency of IFN-&#x003B3;-producing NK cells and NK cell degranulation, PBMC were incubated for 6&#x02009;h with rhIL-12 and rhIL-18 (R&#x00026;D systems) and CFSE-stained K562 (E:T 5:1), respectively. CD107a-APC was added 2&#x02009;h after the start of the culture to the PBMC: K562 cultures. A protein inhibitor cocktail (eBioscience) was added to all cultures 3&#x02009;h from the start of the culture. PBMC were then surface stained as described above with CD3, CD16, and CD56 antibodies. The rhIL-12- and rhIL-18-stimulated wells were stained intracellularly with IFN-&#x003B3;-PE-Cy7 as previously described (<xref ref-type="bibr" rid="B44">44</xref>, <xref ref-type="bibr" rid="B45">45</xref>). PBMC were also stimulated with PMA/ionomycin as a positive control. The gating strategy to assess the <italic>ex vivo</italic> frequency of cytokine-producing (CD56<sup>bright</sup>, CD16<sup>&#x02212;</sup>) and cytotoxic (CD56<sup>dim</sup>, CD16<sup>&#x0002B;</sup>) NK subsets is described in Figure <xref ref-type="supplementary-material" rid="SM1">S1</xref> in Supplementary Material.</p>
</sec>
<sec id="S2-6">
<title>Frequency of HBV-Specific Producing T Cells IFN-&#x003B3;</title>
<p>The frequency was assessed by ELISpot assays. PBMC from patients and from a quality control PBMC batch (inter-assay control) were thawed, washed, and resuspended in RPMI1640/10% AB serum. The cell viability was assessed with propidium iodide using an automated cell counter. ELISPOT assays were performed as previously described (<xref ref-type="bibr" rid="B34">34</xref>). PBMC were incubated in the presence of HBcAg (1&#x02009;&#x000B5;g/ml), HBsAg (2&#x02009;&#x000B5;g/ml), peptide pools (4&#x02009;&#x000B5;g/ml), PPD (10&#x02009;&#x000B5;g/ml), and PHA (2&#x02009;&#x000B5;g/ml).</p>
</sec>
<sec id="S2-7">
<title>Functions of HBV-Specific T Cells</title>
<p>Peripheral blood mononuclear cells were stimulated with HBV antigens and genotype-specific peptide pools for 7&#x02009;days. On day 6, PBMC were subjected to a second round of stimulation with the HBV antigens and the overlapping HBV peptides and stained overnight with CD107a-APC and protein inhibitor cocktail. On day 7, PBMC were surface stained with CD3-BV510, CD4-V450, and CD8-APC-eFluor780 antibodies and stained intracellularly for IFN-&#x003B3; as described above. PBMC stimulated with PMA/ionomycin were used as a positive control.</p>
<p>For T-regulatory cell staining, PBMC were surface stained with CD3, CD4, and CD25-FITC, fixed and permeabilized with FoxP3 buffer (eBioscience) and stained intracellularly with FoxP3-PerCPCy5.5 antibody as per the manufacturer&#x02019;s instructions.</p>
</sec>
<sec id="S2-8">
<title>Determination of Serum Cytokine Profiles</title>
<p>The serum levels of IL-2, IL-6, IL-8, IL-10, IL-12p70, IL-18, IP-10, IFN-&#x003B3;, TNF-&#x003B1;, Granzyme B, and MIP-1&#x003B1; were quantitated using cytometric bead array (BD Biosciences) in accordance with manufacturer&#x02019;s instructions. The levels of IL-15, IL-17, IFN-&#x003B1;, and IFN-&#x003B2; were determined by ELISA (R&#x00026;D systems).</p>
</sec>
<sec id="S2-9">
<title>Statistics Analysis</title>
<p>Statistical significance was assessed during course of the treatment before and after segregation of patients into groups using repeated measure one-way ANOVA and two-way ANOVA, respectively. Multiple comparisons tests were performed only when the null hypothesis was rejected with the ANOVA test. Pearson&#x02019;s correlation was used for correlation analyses. Analyses were conducted with the GraphPad Prism software version 6.05 for Windows (La Jolla, CA, USA). <italic>p</italic>&#x02009;&#x0003C;&#x02009;0.05 was considered statistically significant.</p>
</sec>
</sec>
<sec id="S3">
<title>Results</title>
<sec id="S3-1">
<title>Clinical Responses and Group Stratification</title>
<p>This clinical study was terminated early for commercial reasons based on results from a parallel trial showing that non-inferiority of IFN&#x003BB; to IFN&#x003B1; was not met at week 24. This early curtailment was not related to any safety concerns (<xref ref-type="bibr" rid="B46">46</xref>). The 13 patients initially received the full 12&#x02009;weeks of ETV alone. Due to the truncated nature of this study, four patients received ETV plus Peg-IFN&#x003BB; for 8&#x02009;weeks, three for 16&#x02009;weeks, three for 24&#x02009;weeks, two for 28&#x02009;weeks, and one for 32&#x02009;weeks. Patients&#x02019; responses were not significantly different between consecutive time points and were therefore grouped during ETV and ETV plus Peg-IFN&#x003BB; treatments.</p>
<p>Treatment with ETV alone led to a mean drop of &#x02212;3.72 Log<sub>10</sub> copies/ml in HBV-DNA levels during the first 12&#x02009;weeks of therapy (Table <xref ref-type="table" rid="T2">2</xref>) in line with previous studies (<xref ref-type="bibr" rid="B47">47</xref>, <xref ref-type="bibr" rid="B48">48</xref>). A further reduction in viral replication was observed with the addition of Peg-IFN&#x003BB; (&#x02212;1.8 Log<sub>10</sub> copies/ml) (Table <xref ref-type="table" rid="T2">2</xref>). A significant drop in HBsAg levels (&#x02212;0.63Log<sub>10</sub> IU/ml) and in the% HBsAg decline (ETV: 7.8% vs ETV&#x02009;&#x0002B;&#x02009;Peg-IFN&#x003BB;: 13.2%) was also greater when Peg-IFN&#x003BB; was administered. HBeAg levels did not fall during ETV alone but the addition of Peg-IFN&#x003BB; did induce a significant reduction (&#x02212;0.73Log<sub>10</sub> IU/ml) and a drop in the % HBeAg decline (ETV&#x02009;&#x0002B;&#x02009;Peg-IFN&#x003BB;: 31.5%) (Table <xref ref-type="table" rid="T2">2</xref>). No HBsAg or HBeAg loss or seroconversion occurred during the course of this truncated study, and no significant changes overall were observed in serum ALT (Table <xref ref-type="table" rid="T2">2</xref>). Two patients experienced an ALT flare (ALT greater than 2&#x000D7; baseline and 5&#x000D7; the upper limit of normal) during add-on Peg-IFN&#x003BB;.</p>
<table-wrap position="float" id="T2">
<label>Table 2</label>
<caption><p><bold>Changes in patients virological parameters during treatment</bold>.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left">Patients (<italic>n</italic>&#x02009;&#x0003D;&#x02009;13)</th>
<th valign="top" align="center" colspan="3">HBV-DNA (Log<sub>10</sub> copies/ml)</th>
<th valign="top" align="center" colspan="3">Hepatitis surface antigen (HBsAg) (Log<sub>10</sub> IU/ml)</th>
<th valign="top" align="center" colspan="3">HBeAg (Log<sub>10</sub> IU/ml)</th>
<th valign="top" align="center" colspan="3">Alanine aminotransferase (ALT) (U/l)</th>
</tr><tr>
<th align="left" valign="top"/>
<th align="left" valign="top" colspan="3"><hr/></th>
<th align="left" valign="top" colspan="3"><hr/></th>
<th align="left" valign="top" colspan="3"><hr/></th>
<th align="left" valign="top" colspan="3"><hr/></th>
</tr><tr>
<th align="left" valign="top"/>
<th align="center" valign="top">Baseline</th>
<th align="center" valign="top">Entecavir (ETV)</th>
<th align="center" valign="top">ETV&#x02009;&#x0002B;&#x02009;pegIFN-&#x003BB;</th>
<th align="center" valign="top">Baseline</th>
<th align="center" valign="top">ETV</th>
<th align="center" valign="top">ETV&#x02009;&#x0002B;&#x02009;pegIFN-&#x003BB;</th>
<th align="center" valign="top">Baseline</th>
<th align="center" valign="top">ETV</th>
<th align="center" valign="top">ETV&#x02009;&#x0002B;&#x02009;pegIFN-&#x003BB;</th>
<th align="center" valign="top">Baseline</th>
<th align="center" valign="top">ETV</th>
<th align="center" valign="top">ETV&#x02009;&#x0002B;&#x02009;pegIFN-&#x003BB;</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">M</td>
<td align="center" valign="top">8.37&#x02009;&#x000B1;&#x02009;0.25</td>
<td align="center" valign="top">4.65&#x02009;&#x000B1;&#x02009;0.26</td>
<td align="center" valign="top">2.85&#x02009;&#x000B1;&#x02009;0.27</td>
<td align="center" valign="top">4.59&#x02009;&#x000B1;&#x02009;0.16</td>
<td align="center" valign="top">4.23&#x02009;&#x000B1;&#x02009;0.20</td>
<td align="center" valign="top">3.67&#x02009;&#x000B1;&#x02009;0.35</td>
<td align="center" valign="top">2.37&#x02009;&#x000B1;&#x02009;0.27</td>
<td align="center" valign="top">2.32&#x02009;&#x000B1;&#x02009;0.18</td>
<td align="center" valign="top">1.59&#x02009;&#x000B1;&#x02009;0.32</td>
<td align="center" valign="top">107.7&#x02009;&#x000B1;&#x02009;29.4</td>
<td align="center" valign="top">75.82&#x02009;&#x000B1;&#x02009;13.83</td>
<td align="center" valign="top">114.2&#x02009;&#x000B1;&#x02009;25.84</td>
</tr>
<tr>
<td align="left" valign="top">&#x00394;</td>
<td align="center" valign="top"/>
<td align="center" valign="top">&#x02212;3.72&#x02009;&#x000B1;&#x02009;0.17 (<italic>p</italic>&#x02009;&#x0003C;&#x02009;0.0001)</td>
<td align="center" valign="top"/>
<td align="center" valign="top"/>
<td align="center" valign="top">&#x02212;0.29&#x02009;&#x000B1;&#x02009;0.09 (<italic>p</italic>&#x02009;&#x0003D;&#x02009;0.029)</td>
<td align="center" valign="top"/>
<td align="center" valign="top"/>
<td align="center" valign="top">&#x02212;0.05&#x02009;&#x000B1;&#x02009;0.16 (<italic>p</italic>&#x02009;&#x0003D;&#x02009;ns)</td>
<td align="center" valign="top"/>
<td align="center" valign="top"/>
<td align="center" valign="top">&#x02212;31.83&#x02009;&#x000B1;&#x02009;25.47 (<italic>p</italic>&#x02009;&#x0003D;&#x02009;ns)</td>
<td align="center" valign="top"/>
</tr>
<tr>
<td align="left" valign="top">&#x00394;1</td>
<td align="center" valign="top"/>
<td align="center" valign="top"/>
<td align="center" valign="top">&#x02212;5.5&#x02009;&#x000B1;&#x02009;0.23 (<italic>p</italic>&#x02009;&#x0003C;&#x02009;0.0001)</td>
<td align="center" valign="top"/>
<td align="center" valign="top"/>
<td align="center" valign="top">&#x02212;0.92&#x02009;&#x000B1;&#x02009;0.23 (<italic>p</italic>&#x02009;&#x0003D;&#x02009;0.009)</td>
<td align="center" valign="top"/>
<td align="center" valign="top"/>
<td align="center" valign="top">&#x02212;0.78&#x02009;&#x000B1;&#x02009;0.28 (<italic>p</italic>&#x02009;&#x0003D;&#x02009;ns)</td>
<td align="center" valign="top"/>
<td align="center" valign="top"/>
<td align="center" valign="top">6.53&#x02009;&#x000B1;&#x02009;27.54 (<italic>p</italic>&#x02009;&#x0003D;&#x02009;ns)</td>
</tr>
<tr>
<td align="left" valign="top">&#x00394;2</td>
<td align="center" valign="top"/>
<td align="center" valign="top"/>
<td align="center" valign="top">&#x02212; 1.8&#x02009;&#x000B1;&#x02009;0.20 (<italic>p</italic>&#x02009;&#x0003C;&#x02009;0.0001)</td>
<td align="center" valign="top"/>
<td align="center" valign="top"/>
<td align="center" valign="top">&#x02212;0.63&#x02009;&#x000B1;&#x02009;0.20 (<italic>p</italic>&#x02009;&#x0003D;&#x02009;0.024)</td>
<td align="center" valign="top"/>
<td align="center" valign="top"/>
<td align="center" valign="top">&#x02212;0.73&#x02009;&#x000B1;&#x02009;0.23 (<italic>p</italic>&#x02009;&#x0003D;&#x02009;0.027)</td>
<td align="center" valign="top"/>
<td align="center" valign="top"/>
<td align="center" valign="top">38.37&#x02009;&#x000B1;&#x02009;29.86 (<italic>p</italic>&#x02009;&#x0003D;&#x02009;ns)</td>
</tr>
</tbody>
</table>
<table-wrap-foot><p><italic>The data are shown as mean&#x02009;&#x000B1;&#x02009;SEM at baseline (BL), ETV, and ETV&#x02009;&#x0002B;&#x02009;pegIFN-&#x003BB;. (M) Mean change in HBV-DNA, HBsAg, HBeAg, and ALT from: (&#x00394;) BL to ETV, (&#x00394;1) BL to ETV&#x02009;&#x0002B;&#x02009;pegIFN-&#x003BB;, (&#x00394;2) ETV to ETV&#x02009;&#x0002B;&#x02009;pegIFN-&#x003BB; (repeated measures one-way ANOVA was performed)</italic>.</p></table-wrap-foot></table-wrap>
<p>Analysis of the clinical data revealed two distinct groups of patients based on the rates of decline of the viral antigen levels (HBeAg and HBsAg) when Peg-IFN&#x003BB; was introduced. Nine patients (Group 1) had a greater and significant reduction in HBsAg and HBeAg compared to the remaining four patients (Group 2) who showed no change in viral antigen levels during the addition of Peg-IFN&#x003BB; (Table <xref ref-type="table" rid="T3">3</xref>). In Group 1, HBsAg and HBeAg declined by &#x02212;0.73 and &#x02212;0.95 Log<sub>10</sub> IU/ml, respectively (Table <xref ref-type="table" rid="T3">3</xref>). Furthermore, the difference in HBsAg and HBeAg levels between Group 1 and Group 2 was greater than 1 Log (Group 1&#x02009;&#x02212;&#x02009;Group 2: HBsAg: &#x02212;1.07 Log<sub>10</sub>; HBeAg: &#x02212;1.08 Log<sub>10</sub>) (Table <xref ref-type="table" rid="T3">3</xref>).</p>
<table-wrap position="float" id="T3">
<label>Table 3</label>
<caption><p><bold>Changes in patients&#x02019; virological parameters after segregation in two groups during treatment</bold>.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left" colspan="2"/>
<th valign="top" align="center" colspan="3">HBV-DNA (Log<sub>10</sub> copies/ml)</th>
<th valign="top" align="center" colspan="3">Hepatitis surface antigen (HBsAg) (Log<sub>10</sub> IU/ml)</th>
<th valign="top" align="center" colspan="3">HBeAg (Log<sub>10</sub> IU/ml)</th>
<th valign="top" align="center" colspan="3">Alanine aminotransferase (ALT) (U/l)</th>
</tr><tr>
<th valign="top" align="left" colspan="2"/>
<th align="left" valign="top" colspan="3"><hr/></th>
<th align="left" valign="top" colspan="3"><hr/></th>
<th align="left" valign="top" colspan="3"><hr/></th>
<th align="left" valign="top" colspan="3"><hr/></th>
</tr><tr>
<th valign="top" align="center" colspan="2"/>
<th valign="top" align="center">Baseline</th>
<th valign="top" align="center">Entecavir (ETV)</th>
<th valign="top" align="center">ETV&#x02009;&#x0002B;&#x02009;pegIFN-&#x003BB;</th>
<th valign="top" align="center">Baseline</th>
<th valign="top" align="center">ETV</th>
<th valign="top" align="center">ETV&#x02009;&#x0002B;&#x02009;pegIFN-&#x003BB;</th>
<th valign="top" align="center">Baseline</th>
<th valign="top" align="center">ETV</th>
<th valign="top" align="center">ETV&#x02009;&#x0002B;&#x02009;pegIFN-&#x003BB;</th>
<th valign="top" align="center">Baseline</th>
<th valign="top" align="center">ETV</th>
<th valign="top" align="center">ETV&#x02009;&#x0002B;&#x02009;pegIFN-&#x003BB;</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top" rowspan="4">Patient Group 1 (<italic>n</italic>&#x02009;&#x0003D;&#x02009;9)</td>
<td align="center" valign="top">M</td>
<td align="center" valign="top">8.14&#x02009;&#x000B1;&#x02009;0.30</td>
<td align="center" valign="top">4.30&#x02009;&#x000B1;&#x02009;0.30</td>
<td align="center" valign="top">2.40&#x02009;&#x000B1;&#x02009;0.26</td>
<td align="center" valign="top">4.39&#x02009;&#x000B1;&#x02009;0.17</td>
<td align="center" valign="top">4.08&#x02009;&#x000B1;&#x02009;0.19</td>
<td align="center" valign="top">3.35&#x02009;&#x000B1;&#x02009;0.35</td>
<td align="center" valign="top">2.21&#x02009;&#x000B1;&#x02009;0.37</td>
<td align="center" valign="top">2.19&#x02009;&#x000B1;&#x02009;0.24</td>
<td align="center" valign="top">1.23&#x02009;&#x000B1;&#x02009;0.37</td>
<td align="center" valign="top">118.5&#x02009;&#x000B1;&#x02009;41.35</td>
<td align="center" valign="top">70&#x02009;&#x000B1;&#x02009;10.85</td>
<td align="center" valign="top">112.5&#x02009;&#x000B1;&#x02009;30.87</td>
</tr>
<tr>
<td align="left" valign="top">&#x00394;</td>
<td align="center" valign="top"/>
<td align="center" valign="top">&#x02212;3.84&#x02009;&#x000B1;&#x02009;0.17 (<italic>p</italic>&#x02009;&#x0003C;&#x02009;0.0001)</td>
<td align="center" valign="top"/>
<td align="center" valign="top"/>
<td align="center" valign="top">&#x02212;0.31&#x02009;&#x000B1;&#x02009;0.10 (<italic>p</italic>&#x02009;&#x0003D;&#x02009;ns)</td>
<td align="center" valign="top"/>
<td align="center" valign="top"/>
<td align="center" valign="top">&#x02212;0.013&#x02009;&#x000B1;&#x02009;0.22 (<italic>p</italic>&#x02009;&#x0003D;&#x02009;ns)</td>
<td align="center" valign="top"/>
<td align="center" valign="top"/>
<td align="center" valign="top">&#x02212;48.53&#x02009;&#x000B1;&#x02009;35.47 (<italic>p</italic>&#x02009;&#x0003D;&#x02009;ns)</td>
<td align="center" valign="top"/>
</tr>
<tr>
<td align="left" valign="top">&#x00394;1</td>
<td align="center" valign="top"/>
<td align="center" valign="top"/>
<td align="center" valign="top">&#x02212;5.74&#x02009;&#x000B1;&#x02009;0.24 (<italic>p</italic>&#x02009;&#x0003C;&#x02009;0.0001)</td>
<td align="center" valign="top"/>
<td align="center" valign="top"/>
<td align="center" valign="top">&#x02212;1.04&#x02009;&#x000B1;&#x02009;0.32 (<italic>p</italic>&#x02009;&#x0003D;&#x02009;0.005)</td>
<td align="center" valign="top"/>
<td align="center" valign="top"/>
<td align="center" valign="top">&#x02212;0.97&#x02009;&#x000B1;&#x02009;0.38 (<italic>p</italic>&#x02009;&#x0003D;&#x02009;0.019)</td>
<td align="center" valign="top"/>
<td align="center" valign="top"/>
<td align="center" valign="top">&#x02212;6.07&#x02009;&#x000B1;&#x02009;26.02 (<italic>p</italic>&#x02009;&#x0003D;&#x02009;ns)</td>
</tr>
<tr>
<td align="left" valign="top">&#x00394;2</td>
<td align="center" valign="top"/>
<td align="center" valign="top"/>
<td align="center" valign="top">&#x02212; 1.9&#x02009;&#x000B1;&#x02009;0.23 (<italic>p</italic>&#x02009;&#x0003D;&#x02009;0.0002)</td>
<td align="center" valign="top"/>
<td align="center" valign="top"/>
<td align="center" valign="top">&#x02212;0.73&#x02009;&#x000B1;&#x02009;0.28 (<italic>p</italic>&#x02009;&#x0003D;&#x02009;0.042)</td>
<td align="center" valign="top"/>
<td align="center" valign="top"/>
<td align="center" valign="top">&#x02212;0.95&#x02009;&#x000B1;&#x02009;0.28 (<italic>p</italic>&#x02009;&#x0003D;&#x02009;0.020)</td>
<td align="center" valign="top"/>
<td align="center" valign="top"/>
<td align="center" valign="top">40.47&#x02009;&#x000B1;&#x02009;27.41 (<italic>p</italic>&#x02009;&#x0003D;&#x02009;ns)</td>
</tr><tr><td align="left" valign="top" colspan="14"><hr/></td></tr>
<tr>
<td align="left" valign="top" rowspan="4">Patient Group 2 (<italic>n</italic>&#x02009;&#x0003D;&#x02009;4)</td>
<td align="center" valign="top">M</td>
<td align="center" valign="top">8.88&#x02009;&#x000B1;&#x02009;0.34</td>
<td align="center" valign="top">5.43&#x02009;&#x000B1;&#x02009;0.21</td>
<td align="center" valign="top">3.86&#x02009;&#x000B1;&#x02009;0.21</td>
<td align="center" valign="top">5.05&#x02009;&#x000B1;&#x02009;0.18</td>
<td align="center" valign="top">4.81&#x02009;&#x000B1;&#x02009;0.40</td>
<td align="center" valign="top">4.42&#x02009;&#x000B1;&#x02009;0.28</td>
<td align="center" valign="top">2.75&#x02009;&#x000B1;&#x02009;0.00</td>
<td align="center" valign="top">2.65&#x02009;&#x000B1;&#x02009;0.10</td>
<td align="center" valign="top">2.31&#x02009;&#x000B1;&#x02009;0.32</td>
<td align="center" valign="top">82.75&#x02009;&#x000B1;&#x02009;26.09</td>
<td align="center" valign="top">88.25&#x02009;&#x000B1;&#x02009;41.49</td>
<td align="center" valign="top">117.8&#x02009;&#x000B1;&#x02009;54.54</td>
</tr>
<tr>
<td align="left" valign="top">&#x00394;</td>
<td align="center" valign="top"/>
<td align="center" valign="top">&#x02212;3.45&#x02009;&#x000B1;&#x02009;0.41 (<italic>p</italic>&#x02009;&#x0003C;&#x02009;0.0001)</td>
<td align="center" valign="top"/>
<td align="center" valign="top"/>
<td align="center" valign="top">&#x02212;0.24&#x02009;&#x000B1;&#x02009;0.23 (<italic>p</italic>&#x02009;&#x0003D;&#x02009;ns)</td>
<td align="center" valign="top"/>
<td align="center" valign="top"/>
<td align="center" valign="top">&#x02212;0.10&#x02009;&#x000B1;&#x02009;0.10 (<italic>p</italic>&#x02009;&#x0003D;&#x02009;ns)</td>
<td align="center" valign="top"/>
<td align="center" valign="top"/>
<td align="center" valign="top">5.5&#x02009;&#x000B1;&#x02009;16.03 (<italic>p</italic>&#x02009;&#x0003D;&#x02009;ns)</td>
<td align="center" valign="top"/>
</tr>
<tr>
<td align="left" valign="top">&#x00394;1</td>
<td align="center" valign="top"/>
<td align="center" valign="top"/>
<td align="center" valign="top">&#x02212;5.02&#x02009;&#x000B1;&#x02009;0.46 (<italic>p</italic>&#x02009;&#x0003C;&#x02009;0.0001)</td>
<td align="center" valign="top"/>
<td align="center" valign="top"/>
<td align="center" valign="top">&#x02212;0.63&#x02009;&#x000B1;&#x02009;0.11 (<italic>p</italic>&#x02009;&#x0003D;&#x02009;ns)</td>
<td align="center" valign="top"/>
<td align="center" valign="top"/>
<td align="center" valign="top">&#x02212;0.44&#x02009;&#x000B1;&#x02009;0.16 (<italic>p</italic>&#x02009;&#x0003D;&#x02009;ns)</td>
<td align="center" valign="top"/>
<td align="center" valign="top"/>
<td align="center" valign="top">35.03&#x02009;&#x000B1;&#x02009;73.78 (<italic>p</italic>&#x02009;&#x0003D;&#x02009;ns)</td>
</tr>
<tr>
<td align="left" valign="top">&#x00394;2</td>
<td align="center" valign="top"/>
<td align="center" valign="top"/>
<td align="center" valign="top">&#x02212;1.57&#x02009;&#x000B1;&#x02009;0.40 (<italic>p</italic>&#x02009;&#x0003D;&#x02009;ns)</td>
<td align="center" valign="top"/>
<td align="center" valign="top"/>
<td align="center" valign="top">&#x02212;0.39&#x02009;&#x000B1;&#x02009;0.13 (<italic>p</italic>&#x02009;&#x0003D;&#x02009;ns)</td>
<td align="center" valign="top"/>
<td align="center" valign="top"/>
<td align="center" valign="top">&#x02212;0.33&#x02009;&#x000B1;&#x02009;0.16 (<italic>p</italic>&#x02009;&#x0003D;&#x02009;ns)</td>
<td align="center" valign="top"/>
<td align="center" valign="top"/>
<td align="center" valign="top">29.53&#x02009;&#x000B1;&#x02009;84.19 (<italic>p</italic>&#x02009;&#x0003D;&#x02009;ns)</td>
</tr><tr><td align="left" valign="top" colspan="14"><hr/></td></tr>
<tr>
<td align="left" valign="top">M Group 1&#x02009;&#x02212;&#x02009;M Group 2</td>
<td align="center" valign="top">&#x00394;3</td>
<td align="center" valign="top">&#x02212;0.74&#x02009;&#x000B1;&#x02009;0.47 (<italic>p</italic>&#x02009;&#x0003D;&#x02009;ns)</td>
<td align="center" valign="top">&#x02212;1.13&#x02009;&#x000B1;&#x02009;0.47 (<italic>p</italic>&#x02009;&#x0003D;&#x02009;0.023)</td>
<td align="center" valign="top">&#x02212;1.46&#x02009;&#x000B1;&#x02009;0.47 (<italic>p</italic>&#x02009;&#x0003D;&#x02009;0.041)</td>
<td align="center" valign="top">&#x02212;0.65&#x02009;&#x000B1;&#x02009;0.44 (<italic>p</italic>&#x02009;&#x0003D;&#x02009;ns)</td>
<td align="center" valign="top">&#x02212;0.73&#x02009;&#x000B1;&#x02009;0.44 (<italic>p</italic>&#x02009;&#x0003D;&#x02009;ns)</td>
<td align="center" valign="top">&#x02212;1.07&#x02009;&#x000B1;&#x02009;0.44 (<italic>p</italic>&#x02009;&#x0003D;&#x02009;0.022)</td>
<td align="center" valign="top">&#x02212;0.54&#x02009;&#x000B1;&#x02009;0.46 (<italic>p</italic>&#x02009;&#x0003D;&#x02009;ns)</td>
<td align="center" valign="top">&#x02212;0.45&#x02009;&#x000B1;&#x02009;0.46 (<italic>p</italic>&#x02009;&#x0003D;&#x02009;ns)</td>
<td align="center" valign="top">&#x02212;1.08&#x02009;&#x000B1;&#x02009;0.46 (<italic>p</italic>&#x02009;&#x0003D;&#x02009;0.026)</td>
<td align="center" valign="top">35.77&#x02009;&#x000B1;&#x02009;47.83 (<italic>p</italic>&#x02009;&#x0003D;&#x02009;ns)</td>
<td align="center" valign="top">&#x02212;18.26&#x02009;&#x000B1;&#x02009;47.83 (<italic>p</italic>&#x02009;&#x0003D;&#x02009;ns)</td>
<td align="center" valign="top">&#x02212;7.21&#x02009;&#x000B1;&#x02009;47.83 (<italic>p</italic>&#x02009;&#x0003D;&#x02009;ns)</td>
</tr>
</tbody>
</table>
<table-wrap-foot><p><italic>The data are shown as mean&#x02009;&#x000B1;&#x02009;SEM at BL, ETV, and ETV&#x02009;&#x0002B;&#x02009;pegIFN-&#x003BB;. (M) Mean change in HBV-DNA, HBsAg, HBeAg, and ALT from (&#x00394;) BL to ETV, (&#x00394;1) BL to ETV&#x02009;&#x0002B;&#x02009;pegIFN-&#x003BB;, (&#x00394;2) ETV to ETV&#x02009;&#x0002B;&#x02009;pegIFN-&#x003BB;. (&#x00394;3) Mean difference in HBV-DNA and viral antigens levels between group 1 and group 2 at BL, ETV, and ETV&#x02009;&#x0002B;&#x02009;pegIFN-&#x003BB;. Repeated measures two-way ANOVA was performed</italic>.</p></table-wrap-foot></table-wrap>
<p>Reductions in viremia were also different between these two groups. Significant reductions were observed in Group 1 between ETV alone and ETV plus Peg-IFN&#x003BB; (&#x02212;3.84 Log<sub>10</sub>; &#x02212;1.9 Log<sub>10</sub>, respectively), whereas HBV-DNA decline was less pronounced in Group 2 (ETV alone: &#x02212;3.45 Log<sub>10</sub>; ETV&#x02009;&#x0002B;&#x02009;Peg-IFN&#x003BB;: &#x02212;1.57 Log<sub>10</sub>). There was a difference in HBV-DNA levels greater than 1 Log between the two groups (ETV alone: &#x02212;1.13 Log<sub>10</sub>; ETV&#x02009;&#x0002B;&#x02009;Peg-IFN&#x003BB;: &#x02212;1.46 Log<sub>10</sub>) (Table <xref ref-type="table" rid="T3">3</xref>). Serum ALT levels were not different between Group 1 and 2.</p>
<p>As it has been previously shown that declining HBsAg levels denote activation of the host immunity and control of infection (<xref ref-type="bibr" rid="B49">49</xref>&#x02013;<xref ref-type="bibr" rid="B52">52</xref>), the impact of IFN&#x003BB; on the host immunity was analyzed in the two groups identified: those who did (Group 1) or did not (Group 2) experience changes in antigen levels during combination treatment.</p>
</sec>
<sec id="S3-2">
<title>Addition of Peg-IFN&#x003BB; Induces a Poly-Functional NK Response</title>
<p>During CHB, NK cells exhibit profound impairments in their ability to eliminate HBV by non-cytolytic and cytolytic mechanisms. They notably also lose the ability to orchestrate key players of the adaptive immune response (<xref ref-type="bibr" rid="B36">36</xref>, <xref ref-type="bibr" rid="B53">53</xref>&#x02013;<xref ref-type="bibr" rid="B55">55</xref>). Using standardized protocols (<xref ref-type="bibr" rid="B44">44</xref>), we analyzed the impact of Peg-IFN&#x003BB; on the phenotype and functionality of NK cells. In Group 1 patients (i.e., those with the greatest reduction in antigenaemia), we found an expansion in the frequency of these cells expressing the cytotoxic marker tumor necrosis factor-related apoptosis-inducing ligand (TRAIL) during combination Peg-IFN&#x003BB; (Figure <xref ref-type="fig" rid="F2">2</xref>A). Importantly, this pattern was not observed in Group 2 patients. We also assessed the relationships between the NK cell population and viral parameters and found the increase in TRAIL-positive NK cells to correlate positively with serum ALT levels in Group 1 patients (<italic>r</italic>&#x02009;&#x0003D;&#x02009;0.848; <italic>p</italic>&#x02009;&#x0003C;&#x02009;0.0001). This was reflected in two patients who showed the greatest increase in these NK cells and had the greatest elevation in serum ALT, denoting a cytolytic clearance of infected hepatocytes during the Peg-IFN&#x003BB; phase of treatment. This observation was in line with previously described findings that in CHB, TRAIL expression increases together with ALT levels in patients treated with Peg-IFN&#x003B1; and denotes the elimination of infected hepatocytes (<xref ref-type="bibr" rid="B53">53</xref>). Interestingly, TRAIL-positive cytokine-producing NK cells of Group 1 patients were found to correlate negatively with HBsAg levels (<italic>r</italic>&#x02009;&#x0003D;&#x02009;&#x02212;0.699; <italic>p</italic>&#x02009;&#x0003D;&#x02009;0.0025).</p>
<fig id="F2" position="float">
<label>Figure 2</label>
<caption><p><bold>Effect of treatment on natural killer (NK) cells response in Group 1 and Group 2 patients (<italic>n</italic>&#x02009;&#x0003D;&#x02009;13)</bold>. Percentage of <bold>(A)</bold> tumor necrosis factor-related apoptosis-inducing ligand (TRAIL)-positive CD56<sup>bright</sup> NK cells <bold>(B)</bold> CD107a-producing cytotoxic CD56<sup>dim</sup> NK cells, <bold>(C)</bold> IFN-&#x003B3; producing CD56<sup>bright</sup>, <bold>(D)</bold> NKG2D-positive CD56<sup>bright</sup>, and <bold>(E)</bold> NKG2D-positive CD56<sup>dim</sup> were measured by flow cytometry. A total of 100,000 events were collected during FACS acquisition and the subsequent analysis was performed using FACS DIVA software. Data are shown as mean&#x02009;&#x000B1;&#x02009;SEM. Two-way ANOVA followed by multiple comparison tests were performed for statistical analysis.</p></caption>
<graphic xlink:href="fimmu-08-00621-g002.tif"/>
</fig>
<p>The data also clearly demonstrate that NK functionality is modulated by the addition of Peg-IFN&#x003BB; <italic>in vivo</italic> and is different between the &#x0201C;responding&#x0201D; and &#x0201C;non-responding&#x0201D; groups. The cytotoxic potential of NK cells increased significantly in Group 1 but remained unchanged in Group 2 during the presence of Peg-IFN&#x003BB; (Figure <xref ref-type="fig" rid="F2">2</xref>B). The frequency of IFN-&#x003B3;-producing NK cells also changed during treatment and increased with Peg-IFN&#x003BB; in Group 1, although the difference between ETV alone and ETV&#x02009;&#x0002B;&#x02009;Peg-IFN&#x003BB; was not statistically significant (Figure <xref ref-type="fig" rid="F2">2</xref>C). Nevertheless, the increase in the frequency of IFN-&#x003B3;-producing NK cells was found to correlate negatively with HBV viral load (<italic>r</italic>&#x02009;&#x0003D;&#x02009;&#x02212;0.545; <italic>p</italic>&#x02009;&#x0003D;&#x02009;0.030). In contrast, the expression of the inhibitory marker, NKG2D did not change on any of the NK cells subsets during treatment (Figures <xref ref-type="fig" rid="F2">2</xref>D,E).</p>
</sec>
<sec id="S3-3">
<title>Peg-IFN&#x003BB; Augments HBV-Specific T Cells Responses</title>
<p>We comprehensively assessed the HBV-specific T cell response to recombinant HBV core, HBV surface antigen proteins, and overlapping genotype-specific core and surface peptides pools. Significant expansion was observed in the frequency of HBV-specific T cells producing IFN-&#x003B3; during the add-on Peg-IFN&#x003BB; phase of treatment in Group 1 but not in Group 2 (Figure <xref ref-type="fig" rid="F3">3</xref>A). We observed an increase in the percentage of patients who responded to HBV antigens and peptides pools initiated by treatment with ETV alone and this was augmented further when Peg-IFN&#x003BB; was added (Figure <xref ref-type="fig" rid="F3">3</xref>B). Further characterization of this reactive T cell population revealed that the increased virus-specific response observed in Group 1 was predominantly driven by the CD4<sup>&#x0002B;</sup> T cell population (Figure <xref ref-type="fig" rid="F3">3</xref>C). We also assessed the relationships between CD4<sup>&#x0002B;</sup> T cell population and viral parameters and found this cell population to be negatively correlated with HBV-DNA (<italic>r</italic>&#x02009;&#x0003D;&#x02009;&#x02212;0.752; <italic>p</italic>&#x02009;&#x0003D;&#x02009;0.019) and HBsAg (<italic>r</italic>&#x02009;&#x0003D;&#x02009;&#x02212;0.795; <italic>p</italic>&#x02009;&#x0003D;&#x02009;0.010) and positively correlated with ALT (<italic>r</italic>&#x02009;&#x0003D;&#x02009;0.824; <italic>p</italic>&#x02009;&#x0003D;&#x02009;0.006). A small but significant increase in the IFN-&#x003B3;-producing HBV-specific CD8<sup>&#x0002B;</sup> T cell population was also detected in 40% of patients in Group 1, during ETV and maintained during the addition of Peg-IFN&#x003BB; (Figure <xref ref-type="fig" rid="F3">3</xref>D). The change in this cell population was found to correlate negatively with HBsAg (<italic>r</italic>&#x02009;&#x0003D;&#x02009;&#x02212;0.676; <italic>p</italic>&#x02009;&#x0003D;&#x02009;0.045) and positively with serum ALT (<italic>r</italic>&#x02009;&#x0003D;&#x02009;0.770; <italic>p</italic>&#x02009;&#x0003D;&#x02009;0.015). We also evaluated the cytotoxic potential of HBV-specific CD8<sup>&#x0002B;</sup> T cells during the study by assessing their ability to degranulate and found that CD107a-positive HBV-specific CD8<sup>&#x0002B;</sup> T cells were maintained through the treatment period, reflecting the steady levels of ALT observed in most of these patients (Figure <xref ref-type="fig" rid="F3">3</xref>E). There were, however, higher frequencies of this subset in Group 1 than Group 2. Indeed, during add-on PegIFN&#x003BB;, 50% of subjects in Group 1 had more than 10% of HBV-specific CD8<sup>&#x0002B;</sup> T cells expressing CD107a in contrast to none of the patients in Group 2. The frequency of T-regulatory cells was assessed and found to be low in all patients at baseline and did not change during treatment or between the groups (Figure <xref ref-type="fig" rid="F3">3</xref>F).</p>
<fig id="F3" position="float">
<label>Figure 3</label>
<caption><p><bold>Effect of treatment on HBV-specific T cells and T regs response in Group 1 and Group 2 patients (<italic>n</italic>&#x02009;&#x0003D;&#x02009;13)</bold>. The frequency of IFN-&#x003B3;-producing HBV-specific T cells was evaluated by ELISPOT following peripheral blood mononuclear cells (PBMC) stimulation with HBV antigens and HBV-specific overlapping peptides. PBMC stimulation with recall antigen purified protein derivate and mitogen phytohemagglutinin elicited a measurable strong response which did not change significantly during the course of the treatment. <bold>(A)</bold> ELISPOT quantitation of frequency of IFN-&#x003B3;-producing HBV-specific T cells. <bold>(B)</bold> Heat map representation of the percentage of patients reacting to each individual HBV antigen and peptide pool in ELISPOT. The assessment of the functionality of T cells was performed by FACS following two rounds of stimulation with HBV antigens and HBV-specific overlapping peptides covering HBV core and HBV surface regions. <bold>(C)</bold> IFN-&#x003B3;-producing HBV-specific CD4<sup>&#x0002B;</sup> T cells, <bold>(D)</bold> IFN-&#x003B3;-producing HBV-specific CD8<sup>&#x0002B;</sup> T cells, <bold>(E)</bold> CD107a-producing HBV-specific CD8<sup>&#x0002B;</sup> T cells, and <bold>(F)</bold> T regulatory cells were quantitated by FACS. A total of 100,000 events were collected during FACS acquisition and the subsequent analysis was performed using FACS DIVA software. Data are shown as mean&#x02009;&#x000B1;&#x02009;SEM. Two-way ANOVA followed multiple comparison tests were performed for statistical analysis.</p></caption>
<graphic xlink:href="fimmu-08-00621-g003.tif"/>
</fig>
</sec>
<sec id="S3-4">
<title>Peg-IFN&#x003BB; Alters Serum IL-18 Levels</title>
<p>Finally, we examined the impact of Peg-IFN&#x003BB; add-on on a panel of antiviral and pro/anti-inflammatory serum cytokines. Notably, we found that IL-18 levels significantly increased during treatment in Group 1 (Figure <xref ref-type="fig" rid="F4">4</xref>A). Although this increase is statistically significant, we recognize that it is quite small and the biological relevance needs to be further studied. This change in IL-18 was found to correlate positively with serum ALT (<italic>r</italic>&#x02009;&#x0003D;&#x02009;0.432; <italic>p</italic>&#x02009;&#x0003D;&#x02009;0.024). The levels of IL-8, IL-15 IL-17, and IP-10 did not change during the course of treatment in the two groups (Figures <xref ref-type="fig" rid="F4">4</xref>B&#x02013;E). Type I IFNs, IFN-&#x003B2;, and IFN-&#x003B1; could be detected but only in Group 1; however, their levels did not change during treatment (Figures <xref ref-type="fig" rid="F4">4</xref>F,G). The other cytokines measured, IL-2, IL-6, IL-10, IL-12p70, IFN-&#x003B3;, TNF-&#x003B1;, Granzyme B, and MIP-1&#x003B1; were undetectable in both groups at all time points assessed.</p>
<fig id="F4" position="float">
<label>Figure 4</label>
<caption><p><bold>Effect of treatment on serum cytokines production during treatment in patients group 1 and group 2 (<italic>n</italic>&#x02009;&#x0003D;&#x02009;13)</bold>. Cytokines <bold>(A)</bold> IL-18, <bold>(B)</bold> IL-8, <bold>(C)</bold> IL15, <bold>(D)</bold> IL-17, <bold>(E)</bold> IP-10, <bold>(F)</bold> IFN-&#x003B1;, and <bold>(G)</bold> IFN-&#x003B2; were measured in the sera of patients by cytometric bead array or ELISA. Data are shown as mean&#x02009;&#x000B1;&#x02009;SEM. Two-way ANOVA followed by multiple comparison tests were performed for statistical analysis.</p></caption>
<graphic xlink:href="fimmu-08-00621-g004.tif"/>
</fig>
</sec>
</sec>
<sec id="S4" sec-type="discussion">
<title>Discussion</title>
<p>The present data show for the first time that <italic>in vivo</italic>, IFN&#x003BB; displays immunostimulatory properties and provokes anti-HBV immunity in both the innate and adaptive compartments but only in patients that achieve the greatest decline in viral replication rates. This is of much relevance in CHB, as reductions in, or loss of viremia in the serum does not equate to cure or viral eradication as the HBV genome persists as an integrated genome and/or as episomal covalently closed circular DNA for life (<xref ref-type="bibr" rid="B56">56</xref>). Long-term off-treatment control is only likely to be achieved <italic>via</italic> the activation strong antiviral host immunity, as seen in patients who resolve the infection spontaneously (<xref ref-type="bibr" rid="B56">56</xref>).</p>
<p>The findings from this study supports our previous reports demonstrating that overcoming immune hyporesponsiveness and development of immune-modulating therapies for CHB can only be achieved in patients who have low viral replication rates (<xref ref-type="bibr" rid="B33">33</xref>, <xref ref-type="bibr" rid="B37">37</xref>). This observation is also supported by previous findings from Webster et al. showing that a HBV-DNA load less than 10<sup>7</sup> copies/ml is the threshold below which circulating multi-specific HBV-specific T cells can be consistently detected (<xref ref-type="bibr" rid="B57">57</xref>).</p>
<p>Natural killer cell and virus-specific T cell responses represent the main effectors of a favorable antiviral immune response and are critical in the long-term control of HBV infection (<xref ref-type="bibr" rid="B58">58</xref>, <xref ref-type="bibr" rid="B59">59</xref>); functional impairments in their response to HBV have been widely shown to be correlated with an inability of the host to control replication and the persistence of infection (<xref ref-type="bibr" rid="B37">37</xref>, <xref ref-type="bibr" rid="B38">38</xref>). In this study, we show that therapeutic administration of IFN&#x003BB; can induce a functional restoration of NK cells and virus-specific T cells antiviral abilities. Further to this, we show that the spectrum of changes observed with IFN&#x003BB; treatment are far wider than that observed with conventional IFN-&#x003B1; treatment in CHB patients.</p>
<p>Natural killer cells display two main effector functions that directly contribute to HBV infection control, direct killing of infected cells and the production of a variety of cytokines including the potent anti-HBV cytokine IFN-&#x003B3;, which has directly antiviral activities and activates and promotes downstream antigen-specific adaptive immune responses (<xref ref-type="bibr" rid="B60">60</xref>). In our study, we find an improvement in these two functions of NK cells when Peg-IFN&#x003BB; is introduced and observe a notable increase of NK cells expressing TRAIL, an activation marker which induces target-cell apoptosis. Studies that investigated the modulation of NK cells during directly acting antiviral therapy have shown no effect on IFN-&#x003B3; producing CD56<sup>bright</sup> NK cells; which allow us to conclude that the increase in IFN-&#x003B3;-producing NK cells observed during add-on Peg-IFN&#x003BB; is directly the result of IFN&#x003BB; administration (<xref ref-type="bibr" rid="B36">36</xref>, <xref ref-type="bibr" rid="B61">61</xref>). IFN&#x003BB; mediated activation of cytolytic and non-cytolytic NK functionality is found in our study to be closely associated with reduction in viral replication rates and HBsAg levels. We therefore conclude that IFN&#x003BB; induces a significant expansion of both cytotoxic and IFN-&#x003B3;-producing NK cells in patients with the greatest decline in viral replication during ETV.</p>
<p>In addition to the activation of NK cell functionality during IFN&#x003BB; therapy in Group 1 patients, we also observed significant restoration of the virus-specific T cell responses which are widely known to be pivotal to the host control of HBV replication long-term (<xref ref-type="bibr" rid="B43">43</xref>, <xref ref-type="bibr" rid="B62">62</xref>). We observed an increase in the frequency of HBV-specific CD4<sup>&#x0002B;</sup> and CD8<sup>&#x0002B;</sup> T cells producing IFN-&#x003B3;, which correlated strongly with the reduction of viremia and HBsAg. Further to this, we report an increase in the percentage of patients recognizing HBV antigens and peptide pools suggesting a diversification of epitope recognition and T cell activation. This is key for long-term control, as the ability of the immune system to attack multiple targets on a given pathogen has obvious advantages (<xref ref-type="bibr" rid="B63">63</xref>). Previous studies of ETV treatment of HBeAg-positive patients have reported partial restoration of HBV-specific CD8<sup>&#x0002B;</sup> T cells and may explain the small increase in IFN-&#x003B3; producing HBV-specific CD8<sup>&#x0002B;</sup> T cells during ETV alone (<xref ref-type="bibr" rid="B64">64</xref>, <xref ref-type="bibr" rid="B65">65</xref>). IFN-&#x003B3; producing HBV-specific CD4<sup>&#x0002B;</sup> T cells, however, are not susceptible to this ETV-driven immune improvement. In parallel, during IFN&#x003BB; treatment, we observe a temporal relationship between HBV-specific CD8<sup>&#x0002B;</sup> T cells and mild elevations of liver transaminases denoting destruction of infected hepatocytes, suggesting the mobilization of activated cytotoxic immune cells into the liver. We have previously shown that this equilibrium between cytolytic and non-cytolytic CD8<sup>&#x0002B;</sup> T cells functions is critical in control of infection without excessive exacerbation of inflammation and liver injury and this study reveals that IFN&#x003BB; favorably maintains this balance (<xref ref-type="bibr" rid="B66">66</xref>).</p>
<p>It was not possible to delineate the direct mechanisms by which IFN&#x003BB; activated NK and virus-specific T cell responses. We did explore whether this was mediated <italic>via</italic> the programmed death-1 pathway and found no modulation of the expression of this inhibitory pathway on NK or T cells <italic>ex vivo</italic> during the study period (data not shown). While further work will need to be performed to identify the specific pathways of IFN&#x003BB;-mediated immune activation, our data does reveal a novel relationship between IFN&#x003BB; and IL-18, particularly in patients that showed greatest decline in HBsAg levels during IFN&#x003BB; treatment. This increase in IL-18 levels was however quite small and further studies are needed. The lack of changes in IFN-&#x003B1; and IFN-&#x003B2; plasma levels during IFN&#x003BB; administration, is in line with previous <italic>in vitro</italic> work by Ank et al&#x02009;(<xref ref-type="bibr" rid="B67">67</xref>), suggests that this is also not the mechanism by which host antiviral immunity was induced.</p>
<p>The root cause for lack of immune reactivation in Group 2 could not be fully delineated due to the lack of sample availability. We had hypothesized that hyperexpression of the checkpoint inhibitor programmed death-1 may be partly responsible but this was not substantiated experimentally. This does not preclude the possibility of overexpression of other immune checkpoint inhibitors, on immune cells of group 2 patients, such as Tim-3 and CTLA-4 which have been documented to impair immune function in CHB (<xref ref-type="bibr" rid="B68">68</xref>). Further to this, multiple reports have suggested that mutations and splice variants in the HBV genome and lower pregenomic/precore RNA could negatively influence the response to interferon treatment (<xref ref-type="bibr" rid="B69">69</xref>&#x02013;<xref ref-type="bibr" rid="B71">71</xref>) and this may also be responsible for lack of response observed in Group 2. Finally and possibly most likely, IFN&#x003BB; intracellular signaling may have been disrupted by HBV-induced elevated levels of the suppressor of cytokine signaling SOCS 1 and 3 in Group 2 patients, thereby rendering IFN&#x003BB; treatment ineffective (<xref ref-type="bibr" rid="B72">72</xref>, <xref ref-type="bibr" rid="B73">73</xref>). Further in-depth studies addressing these possibilities are required to characterize and confirm the mechanisms underlying IFN&#x003BB; non-responsiveness <italic>in vivo</italic>.</p>
<p>In this study, we have highlighted several differences in the immunoregulatory activities of IFN&#x003BB; when compared to IFN-&#x003B1;. The dysregulation of the adaptive immune response, a hallmark of CHB, cannot be overcome by treatment with IFN-&#x003B1; (<xref ref-type="bibr" rid="B13">13</xref>). In fact, studies have shown that treatment with IFN-&#x003B1; actively results in the suppression of HBV-specific CD8<sup>&#x0002B;</sup> T cells (<xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B14">14</xref>). It has been hypothesized that this is consequent to the known potent anti-proliferative effects of IFN-&#x003B1;. This suppressive effect of IFN-&#x003B1; is not confined to CHB and has been demonstrated in several other chronic viral infections (<xref ref-type="bibr" rid="B74">74</xref>&#x02013;<xref ref-type="bibr" rid="B77">77</xref>). We show that add-on IFN&#x003BB; treatment does not lead to the suppression but to the maintenance in the frequency of HBV-specific CD8<sup>&#x0002B;</sup> T cells producing IFN-&#x003B3;. Their negative strong correlation with HBsAg levels further highlights the importance of these cells in the control of HBV infection. In further contrast, IFN-&#x003B1; does not seem to activate the cytotoxic capacity of NK cells to kill target cells (<xref ref-type="bibr" rid="B13">13</xref>), whereas in this investigation we reveal the ability of IFN&#x003BB; to improve this important effector function. Our data also suggest that IFN&#x003BB; mediates improvement of anti-HBV immunity <italic>via</italic> IL-18. In contrast, IFN-&#x003B1; is believed to activate NK responses <italic>via</italic> IL-15 (<xref ref-type="bibr" rid="B13">13</xref>).</p>
<p>Anti-HBs seroconversion, the marker of functional cure in CHB, was not seen in this study. It is well described that a decline of &#x0003E;1 Log HBsAg is predictive of sustained HBsAg loss in HBeAg-positive CHB patients (<xref ref-type="bibr" rid="B78">78</xref>, <xref ref-type="bibr" rid="B79">79</xref>) and we would suggest that given the steady decline of HBsAg levels seen in Group 1 patients during IFN&#x003BB; treatment, in concert with improvement in innate and adaptive immune responses in Group 1, we may have observed HBsAg loss, possibly followed by anti-HBs seroconversion post-treatment. Additionally, IFN&#x003BB; was only administered for a truncated 32&#x02009;weeks and treatment for at least 48&#x02009;weeks might be needed to observe an on-treatment HBsAg loss and anti-HBs seroconversion especially due to the restricted distribution of IFN&#x003BB; receptor. Regrettably, there was no posttreatment follow-up due to the early cessation of the clinical trial, due to commercial reasons based on results from a parallel trial showing that non-inferiority of IFN&#x003BB; to IFN-&#x003B1; was not met at week 24 (<xref ref-type="bibr" rid="B46">46</xref>).</p>
<p>In conclusion, this study has demonstrated for the first time a dual immunomodulatory effect of IFN&#x003BB; on both the innate and adaptive arms of the immune response <italic>in vivo</italic> during chronic viral infection. When IFN&#x003BB; is administered in patients with suppressed HBV replication rates, it can induce broad immune stimulatory properties and drive activation of cytokine-producing and cytotoxic NK cells, IFN-&#x003B3;-producing HBV-specific CD4<sup>&#x0002B;</sup> T and maintenance of the antiviral and cytotoxic functions of HBV-specific CD8<sup>&#x0002B;</sup> T cells.</p>
</sec>
<sec id="S5">
<title>Ethics Statement</title>
<p>The study protocol was approved by the Institutional review board/Independent Ethics Committee at each recruitment site. An informed consent was obtained from all patients before enrolment at each site in accordance with the Declaration of Helsinki.</p>
</sec>
<sec id="S6" sec-type="author-contributor">
<title>Author Contributions</title>
<p>SP performed study design, performed experiments, analyzed results, and manuscript preparation. SM set up assays, conducted the immunological experiments, and acquired data. AR performed statistical analysis. HC performed experiments. SZ, CW, P-JC, C-YP, T-TC, SL, RG, M-SC, HW, MD, C-WK, MS, SP, KK, TH-L, and H-CC recruited patients, collected blood and serum samples, and isolated PBMC. MW-R and EC performed clinical and immunological trial design and manuscript preparation. RW funded the research and edited the manuscript. SC performed study design, analyzed results, and manuscript preparation.</p>
</sec>
<sec id="S7">
<title>Conflict of Interest Statement</title>
<p>Megan Wind-Rotolo and Elizabeth Cooney are employed by Bristol-Myers Squibb. The other authors declare no conflict of interest.</p>
</sec>
</body>
<back>
<sec id="S8">
<title>Funding</title>
<p>This investigator initiated study was funded by Bristol-Myers Squibb and The Foundation for Liver Research.</p>
</sec>
<sec id="S9" 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.2017.00621/full&#x00023;supplementary-material">http://journal.frontiersin.org/article/10.3389/fimmu.2017.00621/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">
<label>Figure S1</label>
<caption><p><bold>Flow cytometry gating strategy for analysis of CD56<sup>bright</sup>, CD56<sup>dim</sup> NK cells subsets</bold>. <bold>(A)</bold> The lymphocyte population was gated on forward and side scatter. <bold>(B)</bold> The NK cells population was identified with the CD56 and CD3 markers. <bold>(C)</bold> CD56 and CD16 markers were used to identify CD56<sup>bright</sup> NK cells (CD56<sup>bright</sup>/CD16<sup>&#x02212;</sup>) and CD56<sup>dim</sup> NK cells (CD56<sup>dim</sup>/CD16<sup>&#x0002B;</sup>) subpopulations. A total of 250,000 events were acquired. Analysis was performed using FACS diva software.</p></caption></supplementary-material>
</sec>
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