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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.2022.750660</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Immunology</subject>
<subj-group>
<subject>Brief Research Report</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Cytotoxic B Cells in Relapsing-Remitting Multiple Sclerosis Patients</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Boldrini</surname>
<given-names>Vin&#xed;cius O.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1269029"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Marques</surname>
<given-names>Ana M.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1426021"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Quintiliano</surname>
<given-names>Raphael P. S.</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Moraes</surname>
<given-names>Adriel S.</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Stella</surname>
<given-names>Carla R. A. V.</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Longhini</surname>
<given-names>Ana Leda F.</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Santos</surname>
<given-names>Irene</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Andrade</surname>
<given-names>Mar&#xed;lia</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Ferrari</surname>
<given-names>Breno</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Damasceno</surname>
<given-names>Alfredo</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1020499"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Carneiro</surname>
<given-names>Rafael P. D.</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Brand&#xe3;o</surname>
<given-names>Carlos Ot&#xe1;vio</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/633720"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Farias</surname>
<given-names>Alessandro S.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff6">
<sup>6</sup>
</xref>
<xref ref-type="aff" rid="aff7">
<sup>7</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Santos</surname>
<given-names>Leonilda M. B.</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff6">
<sup>6</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1380601"/>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Autoimmune Research Laboratory, Department of Genetics, Evolution, Microbiology and Immunology, Institute of Biology, University of Campinas</institution>, <addr-line>Campinas</addr-line>, <country>Brazil</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Neuroimmunology Unit, Department of Genetics, Evolution, Microbiology and Immunology, Institute of Biology, University of Campinas</institution>, <addr-line>Campinas</addr-line>, <country>Brazil</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Department of Neurology, University of Campinas</institution>, <addr-line>Campinas</addr-line>, <country>Brazil</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>Department of Immunology and Rheumatology, University of Alabama at Birmingham</institution>, <addr-line>Birmingham, AL</addr-line>, <country>United States</country>
</aff>
<aff id="aff5">
<sup>5</sup>
<institution>MS Clinic of Santa Casa de S&#xe3;o Paulo (CATEM), Irmandade da Santa Casa de Misericordia de S&#xe3;o Paulo</institution>, <addr-line>S&#xe3;o Paulo</addr-line>, <country>Brazil</country>
</aff>
<aff id="aff6">
<sup>6</sup>
<institution>National Institute of Science and Technology on Neuroimmunomodulation (INCT-NIM)</institution>, <addr-line>Rio de Janeiro</addr-line>, <country>Brazil</country>
</aff>
<aff id="aff7">
<sup>7</sup>
<institution>Experimental Medicine Research Cluster (EMRC)</institution>, <addr-line>S&#xe3;o Paulo</addr-line>, <country>Brazil</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Luisa Mar&#xed;a Villar, Ram&#xf3;n y Cajal University Hospital, Spain</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Miriam Laura Fichtner, Yale Medicine, United States; Barbara M.P. Willekens, Antwerp University Hospital, Belgium</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Vin&#xed;cius O. Boldrini, <email xlink:href="mailto:vi_boldrini@hotmail.com">vi_boldrini@hotmail.com</email>; Alessandro S. Farias, <email xlink:href="mailto:asfarias@unicamp.br">asfarias@unicamp.br</email>; Leonilda M. B. Santos, <email xlink:href="mailto:leonilda@unicamp.br">leonilda@unicamp.br</email>
</p>
</fn>
<fn fn-type="other" id="fn002">
<p>This article was submitted to Multiple Sclerosis and Neuroimmunology, a section of the journal Frontiers in Immunology</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>07</day>
<month>02</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="collection">
<year>2022</year>
</pub-date>
<volume>13</volume>
<elocation-id>750660</elocation-id>
<history>
<date date-type="received">
<day>30</day>
<month>07</month>
<year>2021</year>
</date>
<date date-type="accepted">
<day>13</day>
<month>01</month>
<year>2022</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2022 Boldrini, Marques, Quintiliano, Moraes, Stella, Longhini, Santos, Andrade, Ferrari, Damasceno, Carneiro, Brand&#xe3;o, Farias and Santos</copyright-statement>
<copyright-year>2022</copyright-year>
<copyright-holder>Boldrini, Marques, Quintiliano, Moraes, Stella, Longhini, Santos, Andrade, Ferrari, Damasceno, Carneiro, Brand&#xe3;o, Farias and Santos</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<sec>
<title>Background</title>
<p>Emerging evidence of antibody-independent functions, as well as the clinical efficacy of anti-CD20 depleting therapies, helped to reassess the contribution of B cells during multiple sclerosis (MS) pathogenesis.</p>
</sec>
<sec>
<title>Objective</title>
<p>To investigate whether CD19<sup>+</sup> B cells may share expression of the serine-protease granzyme-B (GzmB), resembling classical cytotoxic CD8<sup>+</sup> T lymphocytes, in the peripheral blood from relapsing-remitting MS (RRMS) patients.</p>
</sec>
<sec>
<title>Methods</title>
<p>In this study, 104 RRMS patients during different treatments and 58 healthy donors were included. CD8, CD19, Runx3, and GzmB expression was assessed by flow cytometry analyses.</p>
</sec>
<sec>
<title>Results</title>
<p>RRMS patients during fingolimod (FTY) and natalizumab (NTZ) treatment showed increased percentage of circulating CD8<sup>+</sup>GzmB<sup>+</sup> T lymphocytes when compared to healthy volunteers. An increase in circulating CD19<sup>+</sup>GzmB<sup>+</sup> B cells was observed in RRMS patients during FTY and NTZ therapies when compared to glatiramer (GA), untreated RRMS patients, and healthy donors but not when compared to interferon-&#x3b2; (IFN). Moreover, regarding Runx3, the transcriptional factor classically associated with cytotoxicity in CD8<sup>+</sup> T lymphocytes, the expression of GzmB was significantly higher in CD19<sup>+</sup>Runx3<sup>+</sup>-expressing B cells when compared to CD19<sup>+</sup>Runx3<sup>-</sup> counterparts in RRMS patients.</p>
</sec>
<sec>
<title>Conclusions</title>
<p>CD19<sup>+</sup> B cells may exhibit cytotoxic behavior resembling CD8<sup>+</sup> T lymphocytes in MS patients during different treatments. In the future, monitoring &#x201c;cytotoxic&#x201d; subsets might become an accessible marker for investigating MS pathophysiology and even for the development of new therapeutic interventions.</p>
</sec>
</abstract>
<kwd-group>
<kwd>cytotoxicity</kwd>
<kwd>granzyme B</kwd>
<kwd>neuroinflammation</kwd>
<kwd>neurodegeneration</kwd>
<kwd>MS treatment</kwd>
</kwd-group>
<contract-num rid="cn001">2014/26431-0, 2015/22052-8, 2017/21363-5, 2019/06372-3, 2019/16116-4</contract-num>
<contract-num rid="cn002">001</contract-num>
<contract-sponsor id="cn001">Funda&#xe7;&#xe3;o de Amparo &#xe0; Pesquisa do Estado de S&#xe3;o Paulo<named-content content-type="fundref-id">10.13039/501100001807</named-content>
</contract-sponsor>
<contract-sponsor id="cn002">Coordena&#xe7;&#xe3;o de Aperfei&#xe7;oamento de Pessoal de N&#xed;vel Superior<named-content content-type="fundref-id">10.13039/501100002322</named-content>
</contract-sponsor>
<counts>
<fig-count count="2"/>
<table-count count="1"/>
<equation-count count="0"/>
<ref-count count="45"/>
<page-count count="9"/>
<word-count count="4372"/>
</counts>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<title>Introduction</title>
<p>Multiple sclerosis (MS) is an autoimmune-mediated demyelinating disease of the central nervous system (CNS). Early evidence showed the presence of CD8<sup>+</sup> T lymphocytes in the cerebrospinal fluid (CSF) and in perivascular leukocyte infiltration from white matter in chronic and active MS lesions (<xref ref-type="bibr" rid="B1">1</xref>&#x2013;<xref ref-type="bibr" rid="B5">5</xref>). Thus, since there are few natural killer (NK) cells compared with T cells in the CSF of MS patients (<xref ref-type="bibr" rid="B6">6</xref>) and also effector T populations may be even more potent than NK cells in releasing cytotoxic granules (<xref ref-type="bibr" rid="B7">7</xref>); the expression of cytotoxic-associated molecules such as serine-protease granzyme-B (GzmB), during MS, seems to almost be exclusively originating from CD8<sup>+</sup> T lymphocytes. Interestingly, Runx3, which is a crucial transcriptional factor related to the expression of cytotoxic molecules in effector CD8<sup>+</sup> T subsets (<xref ref-type="bibr" rid="B8">8</xref>, <xref ref-type="bibr" rid="B9">9</xref>), is reported as an MS-associated gene (<xref ref-type="bibr" rid="B10">10</xref>). In parallel, neurons express the mannose-6-phosphate receptor (M6PR), responsible for internalizing GzmB, which then makes them vulnerable to cell death triggered by this protease. <italic>In vitro</italic> evidence suggests that serine-protease inhibitors can dampen neuronal cell death associated with GzmB internalization (<xref ref-type="bibr" rid="B11">11</xref>). Supporting these findings, it was shown that MS patients exhibit higher GzmB levels in the CSF during relapses that tend to persist higher at 1&#x2013;3 months into clinical remission (<xref ref-type="bibr" rid="B12">12</xref>). Also, increased circulating T lymphocytes with the ability to express GzmB were found in the peripheral blood from relapsing-remitting MS (RRMS) patients treated with fingolimod (FTY), and particularly during relapses, when compared to RRMS patients without FTY (<xref ref-type="bibr" rid="B13">13</xref>). Similarly, massive infiltration of cytotoxic CD8<sup>+</sup>GzmB<sup>+</sup> T lymphocytes was found in the CNS parenchyma from two MS patients who suffered fulminant relapses after natalizumab (NTZ) discontinuation (<xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B15">15</xref>). On the other hand, regarding progressive MS courses, not only the CSF from secondary progressive MS (SPMS) patients showed <italic>in vitro</italic> neurotoxicity due to the expression of GzmB (<xref ref-type="bibr" rid="B16">16</xref>) but also cytotoxic CD8<sup>+</sup>CD57<sup>+</sup> T lymphocytes seem to be present in inflamed meninges in these patients with rapidly progressive disease (<xref ref-type="bibr" rid="B4">4</xref>). Altogether, these findings reinforce that cytotoxic mechanisms derived from CD8<sup>+</sup> T lymphocytes are pivotal drivers of CNS damage during MS (<xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B17">17</xref>, <xref ref-type="bibr" rid="B18">18</xref>).</p>
<p>Despite this, successful outcomes in the last few years by the use of anti-CD20 monoclonal antibodies (mAbs) (rituximab, ocrelizumab, or ofatumumab) reassessed the importance of B cells during both relapsing-remitting (RRMS) and progressive MS courses (<xref ref-type="bibr" rid="B4">4</xref>). Indeed, oligoclonal band (OCB) synthesis, compartmentalized clonal expansion, and increased levels of chemoattractants for B cells and/or plasma cells in the CSF (<xref ref-type="bibr" rid="B19">19</xref>&#x2013;<xref ref-type="bibr" rid="B22">22</xref>) were extensively described in MS patients. Nevertheless, since the CD20 molecule is not expressed on pro-B cells or differentiated plasma cells, the beneficial effect of anti-CD20 treatment appears to be extended beyond autoantibody production and release. For instance, in the last few years, increasing evidence supports that B subsets can express and release anti- and pro-inflammatory cytokines, evidencing their antibody-independent functions during MS pathophysiology (<xref ref-type="bibr" rid="B23">23</xref>, <xref ref-type="bibr" rid="B24">24</xref>). Considering it, in the present study, we evaluated whether CD19<sup>+</sup> B subsets may also exhibit the capacity to express and release GzmB similarly resembling the cytotoxic activity described for T lymphocytes in RRMS patients.</p>
</sec>
<sec id="s2">
<title>Methods</title>
<sec id="s2_1">
<title>Study Participants</title>
<p>A total of 104 RRMS patients [19 Untreated, 15 Glatiramer Acetate (GA), 24 Interferon-&#x3b2; (IFN), 14 FTY, and 32 NTZ], according to the McDonald criteria were recruited in the Neurology Clinic at the University of Campinas Hospital (UNICAMP). Also, 58 healthy subjects were included in the control group (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>). All subjects signed a term of consent approved by the University Committee for Ethical Research (CAAE: 53022516.3.0000.5404).</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Demographic and baseline clinical characteristics of MS patients and controls.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Subjects</th>
<th valign="top" align="center">Sample size</th>
<th valign="top" align="center">Gender &#x2640;:&#x2642;</th>
<th valign="top" align="center">Age</th>
<th valign="top" align="center">Time after first relapse (years)</th>
<th valign="top" align="center">Time after last relapse (months)</th>
<th valign="top" align="center">Treatment duration (years)</th>
<th valign="top" align="center">EDSS</th>
<th valign="top" align="center">OCB CSF (+/-)*</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Healthy</td>
<td valign="top" align="center">58</td>
<td valign="top" align="center">40:18</td>
<td valign="top" align="center">28 (19-50)</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">RRMS</td>
<td valign="top" align="center">104</td>
<td valign="top" align="center">80:24</td>
<td valign="top" align="center">37 (18-65)</td>
<td valign="top" align="center">9 (0.5-32)</td>
<td valign="top" align="center">27 (0-166)</td>
<td valign="top" align="center">3.0</td>
<td valign="top" align="center">2.0 +- 1.9</td>
<td valign="top" align="center">60/30</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>RRMS patients</italic>
</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Untreated</td>
<td valign="top" align="center">19</td>
<td valign="top" align="center">14:5</td>
<td valign="top" align="center">27 (18-59)</td>
<td valign="top" align="center">5 (0.5-19)</td>
<td valign="top" align="center">4.5 (0-146)</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">1.5 +- 2.0</td>
<td valign="top" align="center">12/6*</td>
</tr>
<tr>
<td valign="top" align="left">Glatiramer Acetate (GA)</td>
<td valign="top" align="center">15</td>
<td valign="top" align="center">13:2</td>
<td valign="top" align="center">42 (23-58)</td>
<td valign="top" align="center">12.5 (1-32)</td>
<td valign="top" align="center">21 (5- 93)</td>
<td valign="top" align="center">4.0</td>
<td valign="top" align="center">1.5 +- 1.4</td>
<td valign="top" align="center">7/5*</td>
</tr>
<tr>
<td valign="top" align="left">Interferon-&#x3b2; (IFN)</td>
<td valign="top" align="center">24</td>
<td valign="top" align="center">20:4</td>
<td valign="top" align="center">41 (28-65)</td>
<td valign="top" align="center">12.5 (1-22)</td>
<td valign="top" align="center">40 (1-166)</td>
<td valign="top" align="center">6.5</td>
<td valign="top" align="center">2.0 +- 1.6</td>
<td valign="top" align="center">12/8*</td>
</tr>
<tr>
<td valign="top" align="left">Fingolimod (FTY)</td>
<td valign="top" align="center">14</td>
<td valign="top" align="center">10:4</td>
<td valign="top" align="center">39 (22-65)</td>
<td valign="top" align="center">11 (4-25)</td>
<td valign="top" align="center">102 (32-132)</td>
<td valign="top" align="center">3.0</td>
<td valign="top" align="center">2.0 +- 1.6</td>
<td valign="top" align="center">8/5*</td>
</tr>
<tr>
<td valign="top" align="left">Natalizumab (NTZ)</td>
<td valign="top" align="center">32</td>
<td valign="top" align="center">23:9</td>
<td valign="top" align="center">35 (23-62)</td>
<td valign="top" align="center">9 (2-15)</td>
<td valign="top" align="center">48 (24-120)</td>
<td valign="top" align="center">2.0</td>
<td valign="top" align="center">2.0 +- 2.0</td>
<td valign="top" align="center">21/6*</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>All data are represented in median (max &#x2013; min values).</p>
</fn>
<fn>
<p>*Not all patients were tested for oligoclonal bands (Tested: n = 90; 66% OCB positive in the CSF).</p>
</fn>
<fn>
<p>CSF, Cerebrospinal Fluid; OCBs, Oligoclonal Bands; EDSS, Expanded Disease Scale Status.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s2_2">
<title>Blood Sample Collection and Lymphocyte Separation</title>
<p>Peripheral blood (25 ml) samples were collected from RRMS patients and healthy volunteers. Peripheral blood mononuclear cells (PBMCs) were separated by Ficoll-Hypaque<sup>&#xae;</sup> gradient and resuspended after centrifugation on RPMI-1640 supplemented with 10% heat-inactivated fetal bovine serum, 100 U/ml penicillin, and 100 &#x3bc;g/ml streptomycin. Then, PBMCs were used fresh or cryopreserved according to each experiment.</p>
</sec>
<sec id="s2_3">
<title>Flow Cytometry Analyses (FCA)</title>
<p>According to each experiment, PBMCs were stained with different anti-human mAbs: CD3-5.5 PerCP (clone SP34-2), CD3 BUV496 (clone UCHT1), CD8 PE (clone RPA-T8), CD8 BUV563 (clone RPAT8), CD19 FITC (clone HIB19), CD19 BV510 (clone SJ25C1), CD20 BV750 (clone 2H7), CD25 BUV805 (clone 2A3), CD27 BV711 (clone M7271), CD28 BUV737 (clone CD28.2), CD38 BB790 (clone HIT2), IgD BUV615 (clone IA6-2), CD45RA BB515 (clone HI100), CD56 APC-R700 (clone NCAM16.2), CD57 PECF594 (clone NK-1), CD94 BB630 (clone HP-3D9), CD127 BV650 (clone hIL-7R-M21), CD138 BB700 (clone MI15), CD150 BUV395 (clone A12), CD195 (CCR5) BB660 (clone 3A9), CD215 BV605 (clone JM7A4), T-bet BV786 (clone 04-46), ROR&#x3b3;T BV421 (clone Q21-559), GzmB PE (clone GB11), GzmB Alexa700 (clone GB11) (all from BD Biosciences<sup>&#xae;</sup>), and Runx3-eFluor660 (clone R3-5G4) (eBioscience&#x2122;). After incubation with specific antibodies against relevant surface molecules, PBMCs were fixed in BD Cytofix/CytoPerm solution for 30 min, washed with BD Perm/Wash buffer (BD Bioscience, San Diego, CA, USA), and then incubated overnight with intracellular markers. The acquisition was performed in FACSVerse<sup>&#xae;</sup> and FACSymphony<sup>&#xae;</sup> flow cytometers (BD Biosciences<sup>&#xae;</sup>), and the analysis used the FlowJo<sup>&#xae;</sup> software.</p>
</sec>
<sec id="s2_4">
<title>Isolating B Cells and <italic>In Vitro</italic> Stimulation</title>
<p>After the isolation from PBMCs using the EasySep<sup>&#xae;</sup> Human B Cell Enrichment Kit with EasySep<sup>&#xae;</sup> magnet, 2 &#xd7; 10<sup>4</sup> B cells were stimulated for 16 h in culture, with CPG-ODN (2.5 &#x3bc;l/ml) and human recombinant IL-21 (50 ng/ml) according to the literature (<xref ref-type="bibr" rid="B25">25</xref>, <xref ref-type="bibr" rid="B26">26</xref>).</p>
</sec>
<sec id="s2_5">
<title>Quantitative PCR</title>
<p>mRNA from isolated B cells was extracted using the RNeasy micro kit (QIAGEN) and reverse transcribed to cDNA. We used SYBR<sup>&#xae;</sup> Green manufacturer&#x2019;s instructions (BioRad, USA) to assess the expression of <italic>GzmB</italic> [<italic>Forward</italic> (F): CCATCCATCCAAGCCTATAATCCTA, <italic>Reverse</italic> (R): CCTGCACTGTCATCTTCACCT], <italic>PRF1</italic> (<italic>F</italic>: TGGAGTGCCGCTTCTACAGTT, <italic>R</italic>: GTGGGTGCCGTAGTTGGAGAT), and Runx3 (<italic>F</italic>: GAGTTTCACCCTGACCATCACTGTG, <italic>R</italic>: GCCCATCACTGGTCTTGAAGGTTGT). Data were normalized using a housekeeping gene <italic>HPRT</italic> (<italic>F</italic>: GACCAGTCAACAGGGGACAT, <italic>R</italic>: AACCTTCGTGGGGTCCTTTTC).</p>
</sec>
<sec id="s2_6">
<title>Cytometric Bead Array</title>
<p>A total of 50 &#xb5;l of isolated and stimulated B-cell supernatants and solutions for calibration curve construction were incubated with beads containing mAbs to GzmB. After incubation for 2 h, revealing antibody conjugated to the fluorochrome PE was added. The acquisition was performed in FACSCanto (BD Bioscience<sup>&#xae;</sup>) flow cytometer, and the analysis used the FCAP Array software (BD Bioscience<sup>&#xae;</sup>).</p>
</sec>
<sec id="s2_7">
<title>Statistical Analyses</title>
<p>The statistical significance of the results was determined using a nonparametric analysis of variance (Kruskal&#x2013;Wallis test) and a Mann&#x2013;Whitney test (U-test). Dunn&#x2019;s multiple comparison test was used as <italic>post-hoc</italic> of Kruskal&#x2013;Wallis. The ROUT (Q = 1%)&#x2019; test was used to determine the presence of outlier values. <italic>p</italic> &lt; 0.05 values were considered statistically significant.</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<title>Results</title>
<sec id="s3_1">
<title>Granzyme B Expression in CD8<sup>+</sup> T Lymphocytes From Relapsing-Remitting Multiple Sclerosis Patients</title>
<p>Flow cytometry analysis of PBMCs (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1A</bold>
</xref>) showed no differences in the percentage of circulating CD8<sup>+</sup> T lymphocytes from RRMS patients when compared to healthy donors. Subgroups from untreated RRMS or treated patients (GA, IFN, FTY, and NTZ) also showed no differences in comparison with healthy volunteers (<xref ref-type="fig" rid="f1">
<bold>Figures&#xa0;1B, C</bold>
</xref>
<bold>)</bold>. However, an increased percentage of CD8<sup>+</sup>GzmB<sup>+</sup> was found in the RRMS group vs. healthy donors (34.5 vs. 20.8, mean; 95% CI) (<italic>p</italic> &lt; 0.0003) (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1D</bold>
</xref>). The expression of GzmB was also significantly higher in CD8<sup>+</sup> T lymphocytes from patients treated with FTY (43.2, mean; 95% CI) (<italic>p</italic> = 0.0163) and NTZ (40.5, mean; 95% CI) (<italic>p</italic> = 0.0048) vs. healthy donors, but not in treated RRMS patients during first-line immunomodulatory therapies, GA and IFN (26.8 and 25.5, means; 95% CI) nor in untreated RRMS patients (31.9, mean; 95% CI) vs. healthy donors, respectively (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1E</bold>
</xref>). We then performed Uniform Manifold Approximation and Projection (UMAP) analyses in CD3<sup>+</sup>CD8<sup>+</sup> T lymphocytes from untreated RRMS patients and treated RRMS patients during FTY or NTZ therapies. Various surface [CD25, CD27, CD28, CD38, CD45RA, CD56, CD57, CD94, CD127, CD150, CD195 (CCR5), CD215] and intracellular (ROR&#x3b3;T, T-bet, Runx3) markers were used, aiming to concomitantly identify expression with GzmB. Using this strategy, we found senescent-associated markers such as CD28<sup>-</sup> and CD57<sup>+</sup>, and more broadly CD27<sup>-</sup> and CD94<sup>+</sup>, associated with GzmB expression in CD8<sup>+</sup> T subsets from MS patients (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1F</bold>
</xref>). Upon confirming this, we assessed increased expression of GzmB in CD27<sup>-</sup> vs. CD27<sup>+</sup> (57.0 vs. 22.0, mean; 95% CI) (<italic>p</italic> = 0.0003) (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1G</bold>
</xref>), CD28<sup>-</sup> vs. CD28<sup>+</sup> (59.1 vs. 20.4, mean; 95% CI) (<italic>p</italic> &lt; 0.0001) (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1H</bold>
</xref>), CD57<sup>+</sup> vs. CD57<sup>-</sup> (70.4 vs. 14.4, mean; 95% CI) (<italic>p</italic> &lt; 0.0001) (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1I</bold>
</xref>), and CD94<sup>+</sup> vs. CD94<sup>-</sup> (62.9 vs. 21.3, mean; 95% CI) (<italic>p</italic> &lt; 0.0001) (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1J</bold>
</xref>) markers of CD8<sup>+</sup> T lymphocytes from RRMS patients. Moreover, heatmap analyses showed that CD27<sup>low</sup>CD28<sup>low</sup> and CD27<sup>+</sup>CD28<sup>low</sup> compose almost the totality of CD8<sup>+</sup> T subsets from the investigated RRMS patients. Similar frequencies of these subsets were found in untreated RRMS patients and also in treated RRMS patients during FTY and NTZ (<xref ref-type="fig" rid="f1">
<bold>Figures&#xa0;1K, L</bold>
</xref>
<bold>)</bold>.</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Cytotoxic CD8<sup>+</sup> T lymphocytes in relapsing-remitting multiple sclerosis (RRMS) patients. <bold>(A)</bold> Gate strategy for total CD8<sup>+</sup> and CD8<sup>+</sup>GzmB<sup>+</sup> T lymphocytes from healthy donors, untreated RRMS, and treated [Glatiramer Acetate (GA), Interferon-&#x3b2; (IFN), Fingolimod (FTY), and Natalizumab (NTZ)] RRMS patients. <bold>(B)</bold> Proportion (%) of total CD8<sup>+</sup> T lymphocytes in healthy donors (blue) and RRMS patients (red). <bold>(C)</bold> Proportion (%) of CD8<sup>+</sup> T lymphocytes in healthy donors (blue), untreated RRMS (red), and treated RRMS patients (GA, IFN, FTY, NTZ) (red). <bold>(D)</bold> Proportion (%) of circulating CD8<sup>+</sup>GzmB<sup>+</sup> T lymphocytes in healthy donors (blue) and RRMS patients (red). <bold>(E)</bold> Proportion (%) of circulating CD8<sup>+</sup>GzmB<sup>+</sup> T lymphocytes in healthy donors (blue), untreated RRMS (red), and treated RRMS patients (GA, IFN, FTY, NTZ) (red). Bars represent mean values. Each column represents mean (95% CI). *<italic>p</italic> &lt; 0.05; **<italic>p</italic> &lt; 0.01; ***<italic>p</italic> &lt; 0.001; ****<italic>p</italic> &lt; 0.0001. <bold>(F)</bold> Uniform Manifold Approximation and Projection (UMAP) gated in CD3<sup>+</sup>CD8<sup>+</sup> T lymphocytes from RRMS patients with different conditions non-identified and based on the Arcsinh-transformed expression of the markers. Gate strategy and proportion (%) of granzyme B (GzmB) derived from circulating <bold>(G)</bold> CD8<sup>+</sup>CD27<sup>+</sup> vs. CD8<sup>+</sup>CD27<sup>-</sup>, <bold>(H)</bold> CD8<sup>+</sup>CD28<sup>+</sup> vs. CD8<sup>+</sup>CD28<sup>-</sup>, <bold>(I)</bold> CD8<sup>+</sup>CD57<sup>+</sup> vs. CD8<sup>+</sup>CD57<sup>-</sup>, <bold>(J)</bold> CD8<sup>+</sup>CD94<sup>+</sup> vs. CD8<sup>+</sup>CD94<sup>-</sup> T lymphocytes in RRMS patients (red). Bars represent mean values. Each column represents mean (95% CI). <italic>*p</italic> &lt; 0.05; **<italic>p</italic> &lt; 0.01; ***<italic>p</italic> &lt; 0.001; ****<italic>p</italic> &lt; 0.0001. <bold>(K)</bold> Heatmap of the expression of the markers in subpopulations manually identified in CD3<sup>+</sup>CD8<sup>+</sup> T lymphocytes from RRMS patients. <bold>(L)</bold> Barplot representing the frequency of each subpopulation in CD3<sup>+</sup>CD8<sup>+</sup> T lymphocytes.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-13-750660-g001.tif"/>
</fig>
</sec>
<sec id="s3_2">
<title>Granzyme B Expression in CD19<sup>+</sup> B Cells From Relapsing-Remitting Multiple Sclerosis Patients</title>
<p>Flow cytometry analysis (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2A</bold>
</xref>) did not reveal differences in the percentage of total circulating CD19<sup>+</sup> B cells between RRMS patients and healthy donors (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2B</bold>
</xref>), nor among RRMS subgroups, despite the tendency of diminished circulating CD19<sup>+</sup> B cells in FTY-treated patients (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2C</bold>
</xref>). However, an increased percentage of circulating CD19<sup>+</sup>GzmB<sup>+</sup> B cells was found in RRMS patients vs. healthy donors (13.6 vs. 1.8, mean; 95% CI) (<italic>p</italic> &lt; 0.0001) (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2D</bold>
</xref>). The expression of GzmB was also significantly higher in CD19<sup>+</sup> B cells from patients treated with FTY when compared to GA (25.7 vs. 2.9, mean; 95% CI) (<italic>p</italic> = 0.0124), untreated patients (2.5, mean; 95% CI) (<italic>p</italic> = 0.0059), and healthy donors (1.8, mean; 95% CI) (<italic>p</italic> &lt; 0.0001). Similarly, CD19<sup>+</sup>GzmB<sup>+</sup> B cells were significantly higher in NTZ-treated patients (25.8, mean; 95% CI) concerning the first-line immunomodulatory therapy GA (<italic>p</italic> = 0.0109), untreated patients (<italic>p</italic> = 0.0037), and healthy donors (<italic>p</italic> &lt; 0.0001) (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2E</bold>
</xref>). Statistical differences were not observed in FTY and NTZ subgroups when compared to IFN-treated patients (4.4, mean; 95% CI). Resembling the strategy for CD8<sup>+</sup> T lymphocytes, we performed UMAP analyses in CD3<sup>-</sup>CD19<sup>+</sup> B cells from untreated RRMS patients and treated RRMS patients during FTY or NTZ therapies. B cell-associated surface markers (CD20, CD25, CD27, CD38, CD138, IgD), as well as intracellular Runx3, were used, aiming to identify B subsets with the ability to express GzmB. Thus, we found that main GzmB-expressing B subsets lack the expression of CD20 marker but strongly correspond to CD38<sup>+</sup> activation marker and CD138<sup>+</sup> plasma cells (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2F</bold>
</xref>). We also notice a strong expression of Runx3 in B cells that concomitantly express GzmB. Upon confirming this, we assessed increased circulating CD19<sup>+</sup>Runx3<sup>+</sup> in RRMS patients when compared to healthy donors (51.4 vs. 14.8, mean; 95% CI) (<italic>p</italic> &lt; 0.0001). Moreover, we observed increased circulating GzmB-derived CD19<sup>+</sup>Runx3<sup>+</sup> when compared to CD19<sup>+</sup>Runx3<sup>-</sup> B cells from RRMS patients (42.4.8 vs. 6.9, mean; 95% CI) (<italic>p</italic> &lt; 0.0001) (<xref ref-type="fig" rid="f2">
<bold>Figures&#xa0;2G, H</bold>
</xref>). Furthermore, including the previously mentioned markers, we were able to define distinct subsets of B cells in untreated and also in treated (FTY or NTZ) RRMS patients. Untreated RRMS patients mainly seem to exhibit CD20<sup>+</sup> B subsets suggestive of antigen-activated switched memory phenotype (CD20<sup>+</sup>IgD<sup>-</sup>CD27<sup>+</sup>CD38<sup>-</sup>), non-classical plasma cells (CD20<sup>+</sup>CD138<sup>+</sup>), and CD20<sup>-</sup> subsets also with atypical memory features (CD20<sup>-</sup>IgD<sup>-</sup>CD27<sup>-</sup>CD38<sup>+/-</sup>). Almost total of B subsets from NTZ-treated patients were CD20<sup>+</sup> in which approximately half of them exhibited naive phenotype (CD20<sup>+</sup>IgD<sup>+</sup>CD27<sup>-</sup>CD38<sup>+/-</sup>) followed by memory subsets (CD20<sup>+</sup>IgD<sup>-</sup>CD27<sup>-</sup>CD38<sup>+/-</sup>). Finally, FTY-treated patients exhibited almost all of the B subsets lacking CD20 expression, suggesting well-known defined plasma cells (CD20<sup>-</sup>CD138<sup>+</sup>) and a few suggestive of early plasmablasts or memory cells (CD20<sup>-</sup>IgD<sup>-</sup>CD27<sup>-</sup>CD38<sup>+</sup>) (<xref ref-type="fig" rid="f2">
<bold>Figures&#xa0;2I, J</bold>
</xref>
<bold>)</bold>.</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Cytotoxic CD19<sup>+</sup> B cells in relapsing-remitting multiple sclerosis (RRMS) patients. <bold>(A)</bold> Gate strategy for total CD19<sup>+</sup> and CD19<sup>+</sup>GzmB<sup>+</sup> B cells from healthy donors, untreated RRMS, and treated [Glatiramer Acetate (GA), Interferon-&#x3b2; (IFN), Fingolimod (FTY), and Natalizumab (NTZ)] RRMS patients. <bold>(B)</bold> Proportion (%) of total CD19<sup>+</sup> B cells in healthy donors (blue) and RRMS patients (red). <bold>(C)</bold> Proportion (%) of total CD19<sup>+</sup> B cells in healthy donors (blue), untreated RRMS (red), and treated RRMS patients (GA, IFN, FTY, NTZ) (red). <bold>(D)</bold> Proportion (%) of circulating CD19<sup>+</sup>GzmB<sup>+</sup> B cells in healthy donors (blue) and RRMS patients (red). <bold>(E)</bold> Proportion (%) of circulating CD19<sup>+</sup>GzmB<sup>+</sup> B cells in healthy donors (blue), untreated RRMS (red), and treated RRMS patients (GA, IFN, FTY, NTZ) (red). Bars represent mean values. Each column represents mean (95% CI). <italic>*p</italic> &lt; 0.05; **<italic>p</italic> &lt; 0.01; ****<italic>p</italic> &lt; 0.0001. <bold>(F)</bold> Uniform Manifold Approximation and Projection (UMAP) gated in CD3<sup>-</sup>CD19<sup>+</sup> B cells from RRMS patients with different conditions non-identified and based on the Arcsinh-transformed expression of the markers. <bold>(G)</bold> Gate strategy for granzyme B (GzmB)-derived CD19<sup>+</sup>Runx3<sup>+</sup> B cells. <bold>(H)</bold> Proportion (%) of GzmB-derived from circulating CD19<sup>+</sup>Runx3<sup>+</sup> vs. CD19<sup>+</sup>Runx3<sup>-</sup> B cells in healthy donors (blue) and RRMS patients (red). <bold>(I)</bold> Proportion (%) of GzmB derived from circulating CD19<sup>+</sup>Runx3<sup>+</sup> vs. CD19<sup>+</sup>Runx3<sup>-</sup> in RRMS patients (red). Each column represents mean (95% CI). <italic>*p</italic> &lt; 0.05; **<italic>p</italic> &lt; 0.01; ****<italic>p</italic> &lt; 0.0001. <bold>(I)</bold> Heatmap of the expression of the markers in subpopulations manually identified in CD3<sup>-</sup>CD19<sup>+</sup> B cells from RRMS patients. <bold>(J)</bold> Barplot representing the frequency of each subpopulation in CD3<sup>-</sup>CD19<sup>+</sup> B cells. <bold>(K)</bold> Gate strategy for isolated CD19<sup>+</sup> B cells. <bold>(L)</bold> Quantitative PCR for <italic>PRF1</italic>, <italic>GzmB</italic>, and <italic>Runx3</italic> in isolated B cells from healthy donors (blue) and RRMS patients (red). <bold>(M)</bold> Concentration (pg/ml) of GzmB in supernatants of stimulated CD19<sup>+</sup> B cells from healthy donors (blue) and RRMS patients (red). Each column represents mean (SEM). <italic>*p</italic> &lt; 0.05; **<italic>p</italic> &lt; 0.01; ***<italic>p</italic> &lt; 0.001; ****<italic>p</italic> &lt; 0.0001.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-13-750660-g002.tif"/>
</fig>
</sec>
<sec id="s3_3">
<title>Release of Granzyme B by CD19<sup>+</sup> B Cells Isolated From Relapsing-Remitting Multiple Sclerosis Patients</title>
<p>We sorted out CD19<sup>+</sup> B cells to evaluate the <italic>in vitro</italic> cytotoxic activity (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2K</bold>
</xref>). After ODN-CPG and IL-21 stimulation, no differences regarding Perforin (<italic>PRF1</italic>), <italic>GzmB</italic>, or <italic>Runx3</italic> mRNA expression were found between isolated B cells from RRMS patients and healthy donors (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2L</bold>
</xref>). However, supernatants of purified CD19<sup>+</sup> B cells from RRMS patients presented significantly higher amounts of GzmB in comparison with CD19<sup>+</sup> B cells from healthy individuals (368.9 vs. 15.1, mean; SEM) (<italic>p</italic> = 0.0145) (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2M</bold>
</xref>).</p>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<title>Discussion</title>
<p>Herein, we demonstrated that CD19<sup>+</sup> B cells from RRMS patients share the ability to express serine-protease GzmB, similarly resembling classical CD8<sup>+</sup> T lymphocytes.</p>
<p>Regarding T lymphocytes, we show here that RRMS patients exhibit an increased percentage of circulating CD8<sup>+</sup>GzmB<sup>+</sup> T lymphocytes when compared to healthy volunteers. Moreover, treated RRMS patients, particularly FTY and NTZ subgroups, showed higher CD8<sup>+</sup>GzmB<sup>+</sup> T lymphocytes than healthy subjects.</p>
<p>Enhanced cytotoxic behavior derived from T lymphocytes has been suggested as a mechanism for controlling latent Epstein&#x2013;Barr virus (EBV) infection and preventing viral replication during MS (<xref ref-type="bibr" rid="B27">27</xref>). However, sustained cytotoxic CD8<sup>+</sup> T cell activity would also be implicated in CNS lesions during disease. Indeed, infiltration of CD8<sup>+</sup>GzmB<sup>+</sup> T lymphocytes that respond against EBV-infected B cells/plasma cells was recently found in the CNS lesions from two MS patients who died after suffering fulminant relapses following NTZ withdrawal (<xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B28">28</xref>).</p>
<p>In addition, Cencioni et&#xa0;al. (<xref ref-type="bibr" rid="B4">4</xref>) showed that cytotoxic CD57<sup>+</sup> T subsets occur in inflamed meninges from progressive MS patients and are negatively correlated with disease progression/age of death. Interestingly, higher expression of programmed death-1 (PD-1) in circulating CD8<sup>+</sup>CD57<sup>+</sup> T lymphocytes correlates with disease stability. <italic>In vitro</italic> blockade of PD-1 enhanced the release of IFN-&#x3b3;, Perforin, and GzmB by these terminally differentiated cytotoxic T subsets from MS patients (<xref ref-type="bibr" rid="B4">4</xref>).</p>
<p>According to previous reports (<xref ref-type="bibr" rid="B4">4</xref>, <xref ref-type="bibr" rid="B29">29</xref>), RRMS patients in our cohort showed increased expression of GzmB in CD8<sup>+</sup> T lymphocytes markedly associated with senescent T phenotype exhibiting CD27<sup>-</sup>, CD28<sup>-</sup>, CD57<sup>+</sup>, and CD94<sup>+</sup> markers.</p>
<p>Indeed, diverse evidence suggests that cytotoxic subsets including those exhibiting senescent CD28<sup>-</sup> and CD57<sup>+</sup> markers restrain the migration ability into inflamed tissues in response to chemokines and also to express and release GzmB and other pro-inflammatory cytokines supporting tissue damage in diverse conditions (<xref ref-type="bibr" rid="B30">30</xref>).</p>
<p>Considering this, in the last few years, these subsets seemed to have emerged as candidates for predicting disease worsening in several diseases. The prognostic value of CD4<sup>+</sup>CD28<sup>-</sup> T subset during MS was recently suggested for progressive disease (<xref ref-type="bibr" rid="B31">31</xref>). However, there is still a lack of studies investigating the potential of cytotoxic behavior in subsets other than T lymphocytes and its possible implications regarding different MS clinical courses/treatments.</p>
<p>On the other hand, the role of B cells during MS has been more deeply investigated in the context of antibody-independent functions. For instance, IL-21, which is known to promote B cell differentiation to memory and plasma cells in the presence of both BCR or Toll-like receptor (TLR) signaling and CD40L co-stimulation, may also promote GzmB-secreting B cells in the absence of CD40L co-stimulation (<xref ref-type="bibr" rid="B26">26</xref>, <xref ref-type="bibr" rid="B32">32</xref>, <xref ref-type="bibr" rid="B33">33</xref>).</p>
<p>Thus, considering that B cells may differentiate into GzmB-producing cells upon insufficient T cell help, herein, we have provided evidence that this phenomenon may occur during MS. Similar to CD8<sup>+</sup> T lymphocytes, we found no differences in total circulating CD19<sup>+</sup> B cells. However, our results show an increased percentage of circulating CD19<sup>+</sup>GzmB<sup>+</sup> B cells in RRMS patients vs. healthy. Treated RRMS subgroup patients showed higher amounts of CD19<sup>+</sup>GzmB<sup>+</sup> B cells during FTY and NTZ when compared to patients during first-line immunomodulatory therapy (GA), untreated RRMS patients, and healthy donors. We were able to assess which B-cell markers in CD3<sup>-</sup>CD19<sup>+</sup> subsets were associated with the cytotoxic phenotype using flow cytometry high-dimensional analyses high-dimensional analyses. Accordingly, with previous literature, we observed that not CD20<sup>+</sup> but CD38<sup>+</sup> activated and CD138<sup>+</sup> plasma cells seem to identify GzmB-expressing phenotype in B subsets (<xref ref-type="bibr" rid="B26">26</xref>, <xref ref-type="bibr" rid="B34">34</xref>, <xref ref-type="bibr" rid="B35">35</xref>). Moreover, Runx3, a master regulator associated with cytotoxic behavior in CD8<sup>+</sup> T lymphocytes (<xref ref-type="bibr" rid="B8">8</xref>, <xref ref-type="bibr" rid="B9">9</xref>) positively correlated with the GzmB-expressing phenotype.</p>
<p>As previously suggested by De Andr&#xe9;s et&#xa0;al. (<xref ref-type="bibr" rid="B36">36</xref>), these results reinforce a possible antibody-independent pathophysiological mechanism derived from B-cell subsets with the ability to express GzmB during MS. Beyond this, and considering the clinical efficacy of both FTY and NTZ, we may hypothesize that cytotoxicity may represent or even coexist with other tolerogenic functions in B subsets. Resembling our MS cohort, similar percentages of circulating CD19<sup>+</sup>GzmB<sup>+</sup> B cells, in the absence of IL-10 coexpression, were described during HIV infection (<xref ref-type="bibr" rid="B37">37</xref>). Also, regulatory activity of GzmB-derived circulating CD19<sup>+</sup> B cells was suggested due to degradation of TCR-&#x3b6;&#x2013;chain that promotes a significant decrease in T-cell proliferation (<xref ref-type="bibr" rid="B32">32</xref>, <xref ref-type="bibr" rid="B37">37</xref>, <xref ref-type="bibr" rid="B38">38</xref>). As our results suggest, by now, it seems that GzmB expression is mainly derived from CD20<sup>-</sup> B subsets with CD38<sup>+</sup> and CD138<sup>+</sup> markers. Indeed, beyond several changes regarding the total percentage of CD19<sup>+</sup> B cells comprehending naive and memory phenotypes, as well as regulatory B subsets, increased circulating plasma cells were already described during highly effective MS treatments (<xref ref-type="bibr" rid="B39">39</xref>). Interestingly, reduced tumor necrosis factor (TNF)-&#x3b1; and enhanced interleukin (IL)-10 expression by B subsets were also reported during FTY. Yet, these regulatory IL-10-expressing B cells seem to be increased in the CSF from FTY-treated patients (<xref ref-type="bibr" rid="B24">24</xref>, <xref ref-type="bibr" rid="B40">40</xref>).</p>
<p>It is noteworthy that despite CD20<sup>+</sup> B cells being found in CNS lesions from different stages of the disease, many authors have proposed that B cells would take a later role in MS pathophysiology, since, in 2004, CD20<sup>+</sup> B cells, CD138<sup>+</sup> plasma cells, and follicular dendritic cells were described in tertiary lymphoid organs in inflamed meninges from progressive MS patients (<xref ref-type="bibr" rid="B5">5</xref>, <xref ref-type="bibr" rid="B27">27</xref>).</p>
<p>Further investigation in progressive MS courses may identify whether or not GzmB-derived B cells occur during chronic disease pathogenesis. So far, cytotoxicity derived from B cells was shown to cause damage in oligodendrocytes and neurons (<xref ref-type="bibr" rid="B41">41</xref>, <xref ref-type="bibr" rid="B42">42</xref>), eventually sustaining a silent and continuous CNS-restricted inflammatory process. Supporting this, anti-CD20 mAbs seem to be effective for managing progressive MS mainly during early disease course (<xref ref-type="bibr" rid="B24">24</xref>, <xref ref-type="bibr" rid="B40">40</xref>, <xref ref-type="bibr" rid="B43">43</xref>) and have also been suggested for mitigating the increased risk of relapses in RRMS patients after NTZ washout (<xref ref-type="bibr" rid="B44">44</xref>).</p>
<p>Thus, since anti-CD20 mAbs mainly deplete naive and memory B cells, preserving antibody-secreting (CD138+) plasma cells, cytotoxic behavior derived from CD20<sup>-</sup> B subsets would be preserved during these treatments. Further investigations of cytotoxic behavior in CD19<sup>+</sup> may address, for instance, eventual important mechanisms associated with the clinical efficacy of emerging anti-CD19 mAbs and oral drugs targeting Bruton&#x2019;s tyrosine kinase (BTK) for MS patients (<xref ref-type="bibr" rid="B45">45</xref>).</p>
<sec id="s4_1">
<title>Conclusions</title>
<p>Our findings collectively support that beyond classical CD8<sup>+</sup> T subsets, CD19<sup>+</sup> B cells may be an alternative source of lytic factors such as GzmB in the context of antibody-independent functions during MS.</p>
</sec>
<sec id="s4_2">
<title>Limitations</title>
<p>The size of cohort and the cross-sectional nature of our study did not allow us to understand the clinical relevance of our findings better. Although we were able to establish a strong correlation between Runx3 and GzmB expression, <italic>in vitro</italic> generation of cytotoxic B cells will be necessary to clarify the role of Runx3 expression in this subset.</p>
</sec>
</sec>
<sec id="s5" sec-type="data-availability">
<title>Data Availability Statement</title>
<p>The raw data supporting the conclusions of this article will be made available by the authors without undue reservation.</p>
</sec>
<sec id="s6" sec-type="ethics-statement">
<title>Ethics Statement</title>
<p>The studies involving human participants were reviewed and approved by the University of Campinas Committee for Ethical Research (CAAE: 53022516.3.0000.5404). The patients/participants provided their written informed consent to participate in this study.</p>
</sec>
<sec id="s7" sec-type="author-contributions">
<title>Author Contributions</title>
<p>VB, RQ, and ASM performed most of the experiments. CS, AD, RC, and CB diagnosed, treated, and selected MS patients as well as recruited all healthy donors. VB, AMM, ASM, MA, and BF designed and performed flow cytometry. VB, AMM, and AF analyzed flow cytometry data. AL and IS performed CBA experiments. AF and LS designed the experimental work. AF coordinated the study. VB, AMM, AF, and LS wrote the article with inputs from co-authors. All authors contributed to the article and approved the submitted version.</p>
</sec>
<sec id="s8" sec-type="funding-information">
<title>Funding</title>
<p>This work was supported by grants from Sao Paulo Research Foundation (FAPESP) (#2014/26431-0, 2015/22052-8, #2017/21363-5, #2019/06372-3, #2019/16116-4). This study was also partly financed in part by the Coordena&#xe7;&#xe3;o de Aperfei&#xe7;oamento de Pessoal de N&#xed;vel Superior-Brasil (CAPES)-Finance Code 001 (2015/22052-8).</p>
</sec>
<sec id="s9" sec-type="COI-statement">
<title>Conflict of Interest</title>
<p>LS received a research grant from Biogen and a consultation honorarium from Biogen and Roche.</p>
<p>The remaining 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>
<sec id="s10" sec-type="disclaimer">
<title>Publisher&#x2019;s Note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
</body>
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