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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Immunol.</journal-id>
<journal-title-group>
<journal-title>Frontiers in Immunology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Immunol.</abbrev-journal-title>
</journal-title-group>
<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.2026.1763174</article-id>
<article-version article-version-type="Version of Record" vocab="NISO-RP-8-2008"/>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Original Research</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Follicular helper-like &#x3b3;&#x3b4; T cells promote plasma cell differentiation in Beh&#xe7;et&#x2019;s disease</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Mohammed</surname><given-names>Sahar Shaaban</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
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<contrib contrib-type="author">
<name><surname>Alkhalifah</surname><given-names>Abdullah Khalifah S.</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
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<name><surname>Mirza</surname><given-names>Rahilah</given-names></name>
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<contrib contrib-type="author">
<name><surname>Okinedo</surname><given-names>Sarah-Pristine Omoefe</given-names></name>
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<contrib contrib-type="author">
<name><surname>Inampudi</surname><given-names>Rani Aishwarya</given-names></name>
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<contrib contrib-type="author">
<name><surname>Bibi</surname><given-names>Azimoon</given-names></name>
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<contrib contrib-type="author">
<name><surname>Senusi</surname><given-names>Amal</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
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<contrib contrib-type="author">
<name><surname>Pardieu</surname><given-names>Claire</given-names></name>
<xref ref-type="aff" rid="aff5"><sup>5</sup></xref>
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<contrib contrib-type="author">
<name><surname>McCarthy</surname><given-names>Neil E.</given-names></name>
<xref ref-type="aff" rid="aff5"><sup>5</sup></xref>
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<name><surname>Fortune</surname><given-names>Farida</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
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<name><surname>Flores-Borja</surname><given-names>Fabian</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>*</sup></xref>
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<aff id="aff1"><label>1</label><institution>Centre for Oral Immunobiology and Regenerative Medicine, Institute of Dentistry, Faculty of Medicine and Dentistry, Queen Mary University of London</institution>, <city>London</city>,&#xa0;<country country="gb">United Kingdom</country></aff>
<aff id="aff2"><label>2</label><institution>Medical Microbiology and Immunology Department, Faculty of Medicine, Minia University</institution>, <city>Minia</city>,&#xa0;<country country="eg">Egypt</country></aff>
<aff id="aff3"><label>3</label><institution>Department of Oral and Maxillofacial Diagnostic Sciences, College of Dentistry, Qassim University</institution>, <city>Buraydah</city>, <country country="sa">Saudi Arabia</country></aff>
<aff id="aff4"><label>4</label><institution>Beh&#xe7;et&#x2019;s Centre of Excellence, Royal London Hospital, Barts Health NHS Trust</institution>, <city>London</city>,&#xa0;<country country="gb">United Kingdom</country></aff>
<aff id="aff5"><label>5</label><institution>Centre for Immunobiology, The Blizard Institute, Faculty of Medicine and Dentistry, Queen Mary University of London</institution>, <city>London</city>,&#xa0;<country country="gb">United Kingdom</country></aff>
<author-notes>
<corresp id="c001"><label>*</label>Correspondence: Fabian Flores-Borja, <email xlink:href="mailto:f.flores-borja@qmul.ac.uk">f.flores-borja@qmul.ac.uk</email></corresp>
</author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2026-02-09">
<day>09</day>
<month>02</month>
<year>2026</year>
</pub-date>
<pub-date publication-format="electronic" date-type="collection">
<year>2026</year>
</pub-date>
<volume>17</volume>
<elocation-id>1763174</elocation-id>
<history>
<date date-type="received">
<day>08</day>
<month>12</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>26</day>
<month>01</month>
<year>2026</year>
</date>
<date date-type="rev-recd">
<day>18</day>
<month>01</month>
<year>2026</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2026 Mohammed, Alkhalifah, Mirza, Okinedo, Inampudi, Bibi, Senusi, Pardieu, McCarthy, Fortune and Flores-Borja.</copyright-statement>
<copyright-year>2026</copyright-year>
<copyright-holder>Mohammed, Alkhalifah, Mirza, Okinedo, Inampudi, Bibi, Senusi, Pardieu, McCarthy, Fortune and Flores-Borja</copyright-holder>
<license>
<ali:license_ref start_date="2026-02-09">https://creativecommons.org/licenses/by/4.0/</ali:license_ref>
<license-p>This is an open-access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License (CC BY)</ext-link>. 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.</license-p>
</license>
</permissions>
<abstract>
<sec>
<title>Objectives</title>
<p>Beh&#xe7;et&#x2019;s disease (BD) is a systemic vasculitis characterized by recurrent oral and genital ulcers. The disease can manifest diverse phenotypes -such as mucocutaneous, ocular BD- with an uncertain role for autoantibodies in disease pathogenesis. Altered &#x3b3;&#x3b4;T-cell and B-cell phenotypes have been widely reported in BD, but it remains unknown whether these lineages can interact to promote autoantibody production.</p>
</sec>
<sec>
<title>Methods</title>
<p>This study included 75 patients with a BD diagnosis, alongside 41 healthy control (HC) volunteers. We performed <italic>ex vivo</italic> flow-cytometric profiling of blood &#x3b3;&#x3b4;T and B cells, established a cell culture system to investigate plasma cell generation <italic>in vitro</italic>, and quantified anti-HSP60 autoantibody levels in BD and HC participants&#x2019; serum and cell culture supernatants.</p>
</sec>
<sec>
<title>Results</title>
<p>BD patients with active disease displayed a significant increase in the frequency of cells CXCR5<sup>+</sup>PD-1<sup>+</sup> V&#x3b4;2 T cells resembling a follicular helper-like functional state. Upon stimulation, V&#x3b4;2 T cells from BD patients showed increased expression of ICOS and CXCR5, induced significant B cell proliferation, and promoted differentiation of plasma cells <italic>in vitro</italic>. Cultures of cells from BD patients contained increased levels of multiple cytokines that can support plasma cell differentiation (IL-4, IL-10, IL-17, CXCL13, TNF-&#x3b1;, IFN-&#x3b3;). Anti-HSP60 autoantibodies were significantly enriched in blood serum from BD patients with active disease as well as the supernatants of patient-derived cell cultures compared to the healthy volunteer cell cultures.</p>
</sec>
<sec>
<title>Conclusion</title>
<p>Our findings suggest that &#x3b3;&#x3b4;T cells may enhance B-cell differentiation into antibody-producing plasma cells in BD patients with mucocutaneous and ocular clinical phenotypes.</p>
</sec>
</abstract>
<kwd-group>
<kwd>autoantibody production</kwd>
<kwd>Beh&#xe7;et&#x2019;s disease</kwd>
<kwd>heat shock protein 60</kwd>
<kwd>plasma cells</kwd>
<kwd>&#x3b3;&#x3b4;T-cells and B cell interaction</kwd>
<kwd>ICOS</kwd>
<kwd>CXCR5</kwd>
<kwd>PD-1</kwd>
</kwd-group>
<funding-group>
<award-group id="gs1">
<funding-source id="sp1">
<institution-wrap>
<institution>Egyptian Cultural and Educational Bureau</institution>
<institution-id institution-id-type="doi" vocab="open-funder-registry" vocab-identifier="10.13039/open_funder_registry">10.13039/100012819</institution-id>
</institution-wrap>
</funding-source>
</award-group>
<funding-statement>The author(s) declared that financial support was received for this work and/or its publication. SM was supported by the Bureau of Educational and Cultural Affairs, Embassy of The Arab Republic of Egypt (ID MM75/22).</funding-statement>
</funding-group>
<counts>
<fig-count count="8"/>
<table-count count="1"/>
<equation-count count="0"/>
<ref-count count="55"/>
<page-count count="16"/>
<word-count count="7005"/>
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<custom-meta-group>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>T Cell Biology</meta-value>
</custom-meta>
</custom-meta-group>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<label>1</label>
<title>Introduction</title>
<p>Beh&#xe7;et&#x2019;s disease (BD) is a systemic vasculitis of obscure aetiology characterised by recurrent oral and genital ulcers, as well as distinct ocular, vascular, and neurological manifestations, which can lead to chronic morbidity and 5% mortality rate if untreated (<xref ref-type="bibr" rid="B1">1</xref>). Onset of BD is thought to be triggered by infection and/or environmental factors that disturb immune homeostasis in genetically susceptible individuals, leading to systemic inflammation and tissue damage (<xref ref-type="bibr" rid="B1">1</xref>, <xref ref-type="bibr" rid="B2">2</xref>).</p>
<p>Both innate and adaptive immunity are involved in BD pathogenesis (<xref ref-type="bibr" rid="B1">1</xref>) with associated phenotypic and functional abnormalities widely reported in both T and B-cell compartments (<xref ref-type="bibr" rid="B3">3</xref>). More recently, &#x2018;unconventional&#x2019; &#x3b3;&#x3b4;T-cells have been implicated as key effectors in BD (<xref ref-type="bibr" rid="B2">2</xref>). Human &#x3b3;&#x3b4;T-cells are classified into a V&#x3b4;1 subset that is enriched at epithelial barriers, and a V&#x3b4;2 subset that predominates in blood (<xref ref-type="bibr" rid="B4">4</xref>), where they bridge innate and adaptive immune systems (<xref ref-type="bibr" rid="B5">5</xref>). In particular, V&#x3b4;2T-cells are uniquely responsive to non-peptide &#x2018;phosphoantigens&#x2019; such as (E)-4-hydroxy-3-methyl-but-2-enyl pyrophosphate (HMB-PP) and isopentenyl pyrophosphate (IPP) derived from pathogenic bacteria and stressed/transformed human cells, respectively (<xref ref-type="bibr" rid="B6">6</xref>). Depending on their mode of activation, V&#x3b4;2T-cells direct conventional lymphocytes to adopt distinct functional profiles that can modify immunity at mucosal barrier sites (<xref ref-type="bibr" rid="B7">7</xref>), which could play an important role in shaping BD pathophysiology (<xref ref-type="bibr" rid="B1">1</xref>).</p>
<p>Previous studies have reported that &#x3b3;&#x3b4;T-cells can influence patterns of antibody expression in both mice and humans (<xref ref-type="bibr" rid="B8">8</xref>&#x2013;<xref ref-type="bibr" rid="B11">11</xref>), but the mechanisms by which this population modifies B-cell function are not fully studied (<xref ref-type="bibr" rid="B5">5</xref>, <xref ref-type="bibr" rid="B8">8</xref>, <xref ref-type="bibr" rid="B9">9</xref>). Abnormal frequencies of B-cells and increased antibody production have also been reported in BD (<xref ref-type="bibr" rid="B2">2</xref>, <xref ref-type="bibr" rid="B12">12</xref>). Proposed interactions between these lineages resemble classical crosstalk of T follicular helper (Tfh) cells with B-cells, in which direct provision of co-stimulatory signals and cytokines (e.g. IL-4, IL-10, IL-21) induce B-cell differentiation and antibody production (<xref ref-type="bibr" rid="B5">5</xref>). Indeed, &#x3b3;&#x3b4;T-cells express key mediators of interaction with B-cells, including inducible costimulatory molecule (ICOS), chemokine receptor 5 (CXCR5), programmed cell death-1 protein (PD-1), and CD40L (<xref ref-type="bibr" rid="B13">13</xref>, <xref ref-type="bibr" rid="B14">14</xref>).</p>
<p>To date, only a limited number of autoantigens have been implicated in BD pathogenesis, including the disease-specific protein CTDP-1 (<xref ref-type="bibr" rid="B15">15</xref>), as well as autoantibodies against a range of targets such as heat shock protein 60 (HSP60) (<xref ref-type="bibr" rid="B16">16</xref>&#x2013;<xref ref-type="bibr" rid="B19">19</xref>). HSP60 is an intracellular chaperonin protein can be over-expressed and redistributed to the cell surface as a &#x2018;danger signal&#x2019; under conditions of stress, which has also been described in active BD lesions (<xref ref-type="bibr" rid="B20">20</xref>, <xref ref-type="bibr" rid="B21">21</xref>). Notably, both B-cells and V&#x3b4;2T-cells can recognise mycobacterial and streptococcal-derived HSP65 (<xref ref-type="bibr" rid="B3">3</xref>, <xref ref-type="bibr" rid="B22">22</xref>, <xref ref-type="bibr" rid="B23">23</xref>), which is a close molecular mimic of human HSP60 (<xref ref-type="bibr" rid="B24">24</xref>, <xref ref-type="bibr" rid="B25">25</xref>). It is therefore feasible that recognition of bacterial HSP65 could induce host responses against human HSP60 and thereby promote autoantibody generation in BD (<xref ref-type="bibr" rid="B26">26</xref>).</p>
<p>While &#x3b3;&#x3b4;T-cells appear to play a key role in BD pathogenesis, their potential contribution to autoantibody production in affected patients remains poorly defined. This study aimed to investigate potential B and V&#x3b4;2T-cell interactions and resulting effect of autoantibody production. We employed a combination of <italic>ex vivo</italic> immunophenotyping and <italic>in vitro</italic> cell culture methods together with quantification of anti-HSP60 autoantibody levels in patient serum samples and cell culture supernatants.</p>
</sec>
<sec id="s2">
<label>2</label>
<title>Methods</title>
<sec id="s2_1">
<label>2.1</label>
<title>BD patient and healthy control volunteers</title>
<p>Our cohort included n=75 BD patients with mucocutaneous or ocular clinical manifestations attending the Beh&#xe7;et&#x2019;s Centre of Excellence at the Royal London NHS Trust. BD diagnosis met International Criteria 2014 for BD (<xref ref-type="bibr" rid="B27">27</xref>) (<xref ref-type="table" rid="T1"><bold>Table&#xa0;1</bold></xref>). Age and gender-matched adult healthy controls (HC, n=41) were recruited alongside, in good general health and had no symptoms of infection for at least 3 weeks prior to blood collection. The study was conducted in compliance with the Helsinki Declaration and under Ethical Approval P/03/122 granted by The Queen Mary Research Ethics Committee and City Research Ethics Committee. All patients were stratified according to their disease activity state (active/inactive) and clinical phenotypes (mucocutaneous/ocular), based on their BD current activity form (BDCAF) score and clinical evaluation at the time of their visit to the clinic and blood sample collection. All participating patients and healthy volunteers gave their written informed consent prior to taking part in the study.</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>BD patient demographic and clinical data.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" rowspan="2" align="center">Characteristics</th>
<th valign="middle" colspan="3" align="center">BD patients</th>
</tr>
<tr>
<th valign="middle" align="center">Total patients</th>
<th valign="middle" align="center">Mucocutaneous</th>
<th valign="middle" align="center">Ocular</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">Cohort number: n (%)</td>
<td valign="middle" align="center">75 (100)</td>
<td valign="middle" align="center">36 (48)</td>
<td valign="middle" align="center">39 (52)</td>
</tr>
<tr>
<td valign="middle" align="left">Age (Mean &#xb1; SD years)</td>
<td valign="middle" align="center">37.9 &#xb1; 9.3</td>
<td valign="middle" align="center">41.2 &#xb1; 9.9</td>
<td valign="middle" align="center">34.66 &#xb1; 7.4</td>
</tr>
<tr>
<td valign="middle" align="left"/>
<td valign="middle" colspan="3" align="center">n (%)</td>
</tr>
<tr>
<th valign="middle" colspan="4" align="left">Sex</th>
</tr>
<tr>
<td valign="middle" align="left">Male patients</td>
<td valign="middle" align="center">36 (48)</td>
<td valign="middle" align="center">9 (25)</td>
<td valign="middle" align="center">27 (75)</td>
</tr>
<tr>
<td valign="middle" align="left">Female patients</td>
<td valign="middle" align="center">39 (52)</td>
<td valign="middle" align="center">27 (69.2)</td>
<td valign="middle" align="center">12 (30.8)</td>
</tr>
<tr>
<th valign="middle" colspan="4" align="left">Geographical region</th>
</tr>
<tr>
<td valign="middle" align="left">White British</td>
<td valign="middle" align="center">46 (61.3)</td>
<td valign="middle" align="center">25 (54.3)</td>
<td valign="middle" align="center">21 (45.7)</td>
</tr>
<tr>
<td valign="middle" align="left">Turkish</td>
<td valign="middle" align="center">8 (10.7)</td>
<td valign="middle" align="center">2 (25)</td>
<td valign="middle" align="center">6 (75)</td>
</tr>
<tr>
<td valign="middle" align="left">Other Southern European</td>
<td valign="middle" align="center">5 (6.7)</td>
<td valign="middle" align="center">&#x2013;</td>
<td valign="middle" align="center">5 (100)</td>
</tr>
<tr>
<td valign="middle" align="left">Asian</td>
<td valign="middle" align="center">3 (4)</td>
<td valign="middle" align="center">1 (33.3)</td>
<td valign="middle" align="center">2 (66.7)</td>
</tr>
<tr>
<td valign="middle" align="left">African</td>
<td valign="middle" align="center">1 (1.3)</td>
<td valign="middle" align="center">1 (100)</td>
<td valign="middle" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="middle" align="left">Undisclosed</td>
<td valign="middle" align="center">12 (16)</td>
<td valign="middle" align="center">7 (58.3)</td>
<td valign="middle" align="center">5 (41.7)</td>
</tr>
<tr>
<th valign="middle" colspan="4" align="left">Disease activity</th>
</tr>
<tr>
<td valign="middle" align="left">Active BD</td>
<td valign="middle" align="center">28 (37.3)</td>
<td valign="middle" align="center">14 (50)</td>
<td valign="middle" align="center">14 (50)</td>
</tr>
<tr>
<td valign="middle" align="left">Inactive BD</td>
<td valign="middle" align="center">47 (62.7)</td>
<td valign="middle" align="center">22 (48.9)</td>
<td valign="middle" align="center">25 (51.1)</td>
</tr>
<tr>
<td valign="middle" align="left">HLA-B51 positive*</td>
<td valign="middle" align="center">16 (38.1)</td>
<td valign="middle" align="center">5 (31.25)</td>
<td valign="middle" align="center">11 (68.75)</td>
</tr>
<tr>
<th valign="middle" colspan="4" align="left">Current Medications</th>
</tr>
<tr>
<td valign="middle" align="left">Biological options</td>
<td valign="middle" align="center">22 (30.6)</td>
<td valign="middle" align="center">9 (40.9)</td>
<td valign="middle" align="center">13 (59.1)</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2022;Infliximab</td>
<td valign="middle" align="center">20 (90.9)</td>
<td valign="middle" align="center">8 (40)</td>
<td valign="middle" align="center">12 (60)</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2022;Vedolizumab</td>
<td valign="middle" align="center">2 (9.1)</td>
<td valign="middle" align="center">1 (50)</td>
<td valign="middle" align="center">1 (50)</td>
</tr>
<tr>
<td valign="middle" align="left">Steroids</td>
<td valign="middle" align="center">27 (36)</td>
<td valign="middle" align="center">8 (29.6)</td>
<td valign="middle" align="center">19 (70.4)</td>
</tr>
<tr>
<td valign="middle" align="left">Azathioprine</td>
<td valign="middle" align="center">38 (50.7)</td>
<td valign="middle" align="center">15 (39.5)</td>
<td valign="middle" align="center">23 (60.5)</td>
</tr>
<tr>
<td valign="middle" align="left">Colchicine</td>
<td valign="middle" align="center">43 (57.3)</td>
<td valign="middle" align="center">21 (48.8)</td>
<td valign="middle" align="center">22 (51.2)</td>
</tr>
<tr>
<td valign="middle" align="left">C-reactive protein &gt; 10 mg/L</td>
<td valign="middle" align="center">10 (13.3)</td>
<td valign="middle" align="center">4 (40)</td>
<td valign="middle" align="center">6 (60)</td>
</tr>
<tr>
<td valign="middle" align="left">Erythrocyte sedimentation rate &gt; 15 mm/hour</td>
<td valign="middle" align="center">24 (32)</td>
<td valign="middle" align="center">12 (50)</td>
<td valign="middle" align="center">12 (50)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>*HLA-B51 data available for 42 patients.</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s2_2">
<label>2.2</label>
<title>Peripheral blood mononuclear cells isolation and serum collection</title>
<p>Peripheral blood samples (25-30mL) were collected from BD patients and HC into EDTA-vacutainers (Becton Dickinson). Peripheral blood mononuclear cells (PBMCs) were isolated by density gradient centrifugation over Ficoll-Paque&#x2122;Plus (GE Healthcare) and suspended in foetal bovine serum (FBS, Thermo Fisher Scientific) containing 10% dimethyl sulfoxide (Sigma), 100 IU/mL penicillin, and 100 mg/mL streptomycin (Gibco) for cryopreservation and storage in liquid nitrogen until subsequent use. For serum samples, 5mL of peripheral blood was collected in &#x2018;clot activator&#x2019; vacutainers. Tubes were centrifuged for 5&#xa0;min at 1500xg before serum was collected and stored at -80&#xa0;&#xb0;C until used.</p>
</sec>
<sec id="s2_3">
<label>2.3</label>
<title>Flow cytometry</title>
<p>Phenotyping of B and T cell subpopulations was carried out using PBMCs directly <italic>ex vivo</italic> or after <italic>in vitro</italic> cell culture. For membrane markers, cells were stained with a Live/Dead discriminant dye (BioLegend), followed by blocking with Fc receptor binding inhibitor Human TruStain FcX&#x2122;, (BioLegend). The cells were then incubated with different cocktails of fluorochrome-conjugated antibodies (<xref ref-type="supplementary-material" rid="SF4"><bold>Supplementary Tables&#xa0;1</bold></xref>-<xref ref-type="supplementary-material" rid="SF6"><bold>3</bold></xref>), washed in MACS buffer, and fixed with 2% paraformaldehyde (PFA). For analysis of intracellular cytokines or intranuclear markers, after membrane staining, cells were fixed/permeabilised with Cyto-Fast&#x2122; Fix/Perm Buffer Set (BioLegend) or True-Nuclear&#x2122; Transcription factor buffer set (BioLegend) respectively and incubated with specific antibodies as listed in <xref ref-type="supplementary-material" rid="SF7"><bold>Supplementary Table&#xa0;4</bold></xref>-<xref ref-type="supplementary-material" rid="SF9"><bold>6</bold></xref>. Data were acquired with FACSDiva or SpectroFlow<sup>&#xae;</sup> software on LSRII or Aurora (Cytek) (Beckton Dickinson) cytometers respectively. Live single cells were gated on FSC-A versus SSC-A and SSC-A versus Live/Dead dye FACS plots. Fluorescence-minus-one control samples were used for adjustments of gates. Data were analysed using FlowJo v10.10 (TreeStar).</p>
</sec>
<sec id="s2_4">
<label>2.4</label>
<title>Cell cultures</title>
<p>Frozen PBMC from BD patients and HC were thawed and treated with 100mg/mL DNase I (Merck) for 10 minutes, washed in RPMI medium, and adjusted to a concentration of 1x10<sup>6</sup>cell/mL in serum-free RPMI medium. For proliferation analyses, PBMC were stained with 3&#xb5;M CMFDA cell tracker&#x2122; green dye. Then cells were then washed, resuspended in complete RPMI medium [containing 20% FBS (Thermo Fisher Scientific), 100IU/mL penicillin, 100mg/mL streptomycin (Gibco); 5mM L-glutamine (Gibco) and 0.1mM non-essential amino acids (Gibco)] and plated in 96-well round bottom plates at a density of 2x10<sup>5</sup>cells/well. For <italic>ex vivo</italic> intracellular cytokine evaluation: cells received 50ng/mL of phorbol 12-myristate 13-acetate (PMA) (Adipogen), and 250ng/mL of ionomycin (Iono, eBioscience), in addition to of 2&#xb5;M BD Golgi Stop (Monensin) (BioLegend), and 1&#xb5;L/million cells of BD Golgi Plug (Brefeldin) (BD Bioscience), and incubated for 4 hours. V&#x3b4;2T-cells were specifically stimulated within the total PBMCs (<xref ref-type="bibr" rid="B28">28</xref>&#x2013;<xref ref-type="bibr" rid="B30">30</xref>), using 100ng/mL (E)-4-Hydroxy-3methyl-but-2-enyl pyrophosphate (HMB-PP) (Sigma Aldrich) and 20ng/mL IL-15 (Peprotech). Non-stimulated controls were included for each sample for comparative analysis. A positive control culture for plasma cell induction was set-up using PBMC stimulated with 5&#xb5;g/mL anti-human IgG/A/M (Abcam), 2.5&#xb5;g/mL CpG (Alpha Diagnostics Int), 1&#xb5;g/mL soluble CD40L (Enzo Life Sciences), and 50ng/mL IL-21 (Peprotech) (<xref ref-type="bibr" rid="B31">31</xref>). For intracellular cytokine analysis, cells were harvested at 6, 12, and 24 hours. Cultures were maintained for 5 days at 37&#xa0;&#xb0;C in a humidified atmosphere with 5%CO2 and supplemented every day with 50&#xb5;M &#x3b2;-mercaptoethanol (Sigma). Cells were collected on day 5 for staining with the &#x3b3;&#x3b4;T and B cell antibody panels (<xref ref-type="supplementary-material" rid="SF6"><bold>Supplementary Tables&#xa0;3</bold></xref>, <xref ref-type="supplementary-material" rid="SF7"><bold>4</bold></xref>). For analysis of autoantibody levels in supernatant, cultures were maintained for 10 days (<xref ref-type="bibr" rid="B32">32</xref>). On day 4, cultures (both stimulated and non-stimulated) were supplemented with human recombinant (hr) IL-2 (20U/mL), IL-6 (50ng/mL), IL-10 (50ng/mL), IL-15 (10 ng/mL) (Peprotech) and mouse anti&#x2013;CD40L IgG (1&#xb5;g/mL; clone TRAP1, Biolegend) to sustain B cell proliferation and differentiation. On day 7, cultures were supplemented with hr IL-6 (50ng/mL), IL-15 (10ng/mL) (Peprotech), hr hepatocyte growth factor (20ng/mL) (Cell Sciences, Canton, MA), and hyaluronic acid (100&#xb5;g/mL, Sigma) to promote plasma cell differentiation and viability (<xref ref-type="bibr" rid="B32">32</xref>). After 10 days, supernatants were collected and frozen at -80&#xa0;&#xb0;C for subsequent analysis. Cell viability of cultured cells was assessed by flow cytometry with Zombie Ultra-Violet Live Dead viability dye.</p>
</sec>
<sec id="s2_5">
<label>2.5</label>
<title>Anti-HSP60 autoantibody ELISA</title>
<p>Frozen serum samples from HC and BD patients were thawed, diluted 1:250 in the sample diluent buffer while cell culture supernatants were used undiluted. All samples were tested in duplicate to determine levels of anti-HSP60 IgG/A/M antibodies using commercial ELISA kits (Enzo Life Sciences) following manufacturer&#x2019;s instructions. Plates were read using a Clariostar microplate reader (BMG Labtech) and absorbance recorded at 450nm. Antibody quantitation was performed by interpolation from a standard curve.</p>
</sec>
<sec id="s2_6">
<label>2.6</label>
<title>Multiplex cytokine arrays</title>
<p>The supernatants of cultured cells (for 1 day and 5 days) culture supernatants were used to evaluate cytokines concentration using the Luminex R&amp;D Systems Discovery Assay (Biotechne). This assay was a custom-made, premixed, multi-analyte ELISA incorporating reagents for quantitative detection of IL-4, IL-10, IL-17, IL-21, CXCL13, IFN-&#x3b3;, and TNF-&#x3b1;. Assay samples were prepared and read in MagPix Luminex instrument following the manufacturer&#x2019;s instructions. Cytokine concentrations were evaluated using Luminex software against standard curves generated with calibration reagents.</p>
</sec>
<sec id="s2_7">
<label>2.7</label>
<title>Statistical analysis</title>
<p>Data are presented as mean values with standard error of the mean (SEM). Normality of data sets was evaluated by Shapiro Wilk test. If normally distributed, two-group comparisons were performed using two-tailed unpaired t-test. Multi-group comparison was performed using one-way ANOVA. For skewed data sets, non-parametric Mann&#x2013;Whitney and Kruskal&#x2013;Wallis tests (followed by Dunns multiple-comparison test) were used. Grouped data sets were analysed using 2-way ANOVA. In multiple tests, Tukey&#x2019;s, uncorrected Fisher and Dunn&#x2019;s tests were used to correct <italic>P</italic>-values. All analyses were performed, and graphs created with Prism version 10.0.3 (GraphPad). <italic>P</italic>-values &lt; 0.05 were considered statistically significant.</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<label>3</label>
<title>Results</title>
<p>All Analyses were performed considering BD activity (active versus inactive BD) and clinical phenotype (mucocutaneous versus ocular BD). Where there was no statistical significance found between these subgroups, data was presented as comparing the complete BD cohort against the healthy control volunteers.</p>
<sec id="s3_1">
<label>3.1</label>
<title>Altered frequency and functional profiles of B-cells and &#x3b3;&#x3b4;T-cells in BD patients with active disease</title>
<p>Human &#x3b3;&#x3b4;T-cell acquisition of a &#x2018;follicular helper-like&#x2019; state has previously been suggested to promote B-cell differentiation (<xref ref-type="bibr" rid="B5">5</xref>), but it remains unclear whether this process could contribute to autoantibody generation in BD. To assess this possibility, we first used flow cytometry to profile &#x3b3;&#x3b4;T-cell and B-cell compartments in PBMC from BD patients and HC donors. The total proportion of CD19<sup>+</sup>B cells was significantly reduced in active BD patients (5.5 &#xb1; 0.73%) and inactive BD patients (6.05 &#xb1; 0.76%) compared to HC (10.11 &#xb1; 1.4%; <italic>P</italic>&#xa0;=&#xa0;0.0061 and 0.01 respectively) (<xref ref-type="fig" rid="f1"><bold>Figure&#xa0;1A</bold></xref>). This reduction was more evident in the subgroup of patients with mucocutaneous BD (<xref ref-type="supplementary-material" rid="SF1"><bold>Supplementary Figure&#xa0;1A</bold></xref>).</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Altered B-cell and &#x3b3;&#x3b4; T cell profiles in patients with BD Representative flow cytometry plots and cumulative data showing: <bold>(A)</bold> total CD19<sup>+</sup> B cells (n=15 HC, n=17 active BD, and 22 inactive BD). <bold>(B)</bold> total CD3<sup>+</sup> T cells (n=25 HC, n=17 active BD, and 21 inactive BD). <bold>(C)</bold> V&#x3b4;1 and V&#x3b4;2 T cells (n=14 HC, n=13 active BD, and 19 inactive BD). And <bold>(D)</bold> CXCR5+PD-1+ V&#x3b4;2 T cells (n= 9 HC, n=5 active BD, and 13 inactive BD). <bold>(E)</bold> Representative histograms and cumulative mean fluorescence intensity (MFI) data showing expression level of CD40L, CXCR5, ICOS and PD-1 in V&#x3b4;1 and V&#x3b4;2 T cells (n=15 HC, n=10 active BD, and 19 inactive BD). Results show individual values and mean &#xb1; SEM. *=<italic>P</italic>&#xa0;&lt;&#xa0;0.05; **=<italic>P</italic>&#xa0;&lt;&#xa0;0.01; ***=<italic>P</italic>&#xa0;&lt;&#xa0;0.001 by Mann-Whitney test and 2-way ANOVA with multiple comparisons. Numbers on plots indicate percentages of cell populations.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-17-1763174-g001.tif">
<alt-text content-type="machine-generated">Flow cytometry analysis of immune cell populations in healthy controls and Behçet's Disease (BD) patients. Panel A shows CD19+ B cells, Panel B displays CD3+ T cells, and Panel C highlights Vδ1 and Vδ2 T cells in both groups. Panel D illustrates CXCR5+PD-1+Vδ2+ T cells. Panel E presents expression histograms and bar graphs for CD40L, CXCR5, ICOS, and PD-1 on Vδ1 and Vδ2 T cells, with significant differences marked. Statistical significance is indicated with asterisks.</alt-text>
</graphic></fig>
<p>Next, we investigated &#x3b3;&#x3b4;T-cell profiles within the CD3<sup>+</sup> pool. The total percentage of CD3<sup>+</sup>T-cells was significantly higher in active BD patients (74.65 &#xb1; 2.67%) and inactive BD patients (76.4 &#xb1; 2.16%) compared with HC (63.5 &#xb1; 1.96%; <italic>P</italic>&#xa0;=&#xa0;0.0027 and &lt;0.001 respectively) (<xref ref-type="fig" rid="f1"><bold>Figure&#xa0;1B</bold></xref>). The frequencies of V&#x3b4;1 and V&#x3b4;2 T-cells were comparable between healthy and patient groups (<xref ref-type="fig" rid="f1"><bold>Figure&#xa0;1C</bold></xref>). Additionally, the total percentage of CD3<sup>+</sup> and V&#x3b4;2T-cells were significantly higher in the subgroup of patients with ocular BD (<xref ref-type="supplementary-material" rid="SF1"><bold>Supplementary Figures&#xa0;1B, C</bold></xref>).</p>
</sec>
<sec id="s3_2">
<label>3.2</label>
<title>Increased CXCR5<sup>+</sup>PD-1<sup>+</sup> double positive V&#x3b4;2T-cell frequencies in BD patients with active disease</title>
<p>Since data from mouse models has indicated that &#x3b3;&#x3b4;T-cells with a &#x2018;Tfh-like&#x2019; profile can license immature B-cells to produce autoantibodies (<xref ref-type="bibr" rid="B5">5</xref>), we also analysed &#x3b3;&#x3b4;T-cell expression of key Tfh markers. Indeed, we detected a significantly increased percentage of CXCR5<sup>+</sup>PD-1<sup>+</sup> double positive V&#x3b4;2T-cells in patients with active BD (0.42 &#xb1; 0.1%) compared with HC (0.13 &#xb1; 0.05%; <italic>P</italic>&#xa0;=&#xa0;0.0045) (<xref ref-type="fig" rid="f1"><bold>Figure&#xa0;1D</bold></xref>). Then we assessed mean fluorescence intensity (MFI) of Tfh markers. Both V&#x3b4;1 and V&#x3b4;2T cells from BD patients and HC donors showed comparable expression of CXCR5 and ICOS (<xref ref-type="fig" rid="f1"><bold>Figure&#xa0;1E</bold></xref>). However, BD patients with active disease displayed significantly higher levels of CD40L expression on V&#x3b4;1T-cells (Active BD 204.6 &#xb1; 25.47 versus HC 100.6 &#xb1; 29.68; <italic>P</italic>&#xa0;=&#xa0;0.0092) and higher levels of PD-1 expression on V&#x3b4;2T-cells (Active BD 148.49 &#xb1; 27.59 versus HC 50.33 &#xb1; 12.94; <italic>P</italic>&#xa0;=&#xa0;0.0039) (<xref ref-type="fig" rid="f1"><bold>Figure&#xa0;1E</bold></xref>). Altered expression of these markers in BD patients thus appeared to be more closely associated with the disease activity rather than clinical phenotype (<xref ref-type="supplementary-material" rid="SF1"><bold>Supplementary Figures&#xa0;1D, E</bold></xref>).</p>
<p>To further characterize the functional profile of &#x3b3;&#x3b4;T-cells in BD, we assessed <italic>ex vivo</italic> production of six cytokines associated with inflammatory responses and B cell-help (IL-4, IL-10, IL-17, IL-21, IFN-&#x3b3;, and TNF-&#x3b1;). The levels of these cytokines were comparable between the BD and HC groups in both V&#x3b4;2<sup>+</sup> (<xref ref-type="fig" rid="f2"><bold>Figure&#xa0;2</bold></xref>) and V&#x3b4;1<sup>+</sup>T-cells (<xref ref-type="supplementary-material" rid="SF1"><bold>Supplementary Figure&#xa0;1F</bold></xref>). Overall, these data show that typical frequencies of B and &#x3b3;&#x3b4;T-cell frequencies are altered in BD, with increased expression of Tfh markers within the &#x3b3;&#x3b4;T-cell compartment in active disease.</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Ex vivo cytokine production by V&#x3b4;2 T cells Representative FACS contour plots showing intracellular cytokine expression in PMA-ionomycin-treated V&#x3b4;2 T cells. Numbers in plots represent the percentage of cytokine-positive cells. The plot graphs show cumulative data (n=7 HC and n=12 BD patients). Results show individual values and mean frequency.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-17-1763174-g002.tif">
<alt-text content-type="machine-generated">Flow cytometry plots and scatter plots comparing cytokine expression of CD3+ Vδ2+ T cells between healthy controls (HC) and Behçet's disease patients (BD). The flow cytometry plots show expression levels of IL-4, IL-10, IL-17, IL-21, IFN-γ, and TNF-α for both groups. Cytokine levels were comparable between both groups.</alt-text>
</graphic></fig>
</sec>
<sec id="s3_3">
<label>3.3</label>
<title>V&#x3b4;2T Tfh-like cells are enriched in BD and promote B-cell proliferation <italic>in vitro</italic></title>
<p>To investigate the possible functional effects of V&#x3b4;2<sup>+</sup> cells with a Tfh-like functional profile in BD, we next used microbial metabolite HMB-PP to selectively activate V&#x3b4;2<sup>+</sup> T cells in total PBMC cultures and observed the impact on B-cell activation and differentiation over 5 days. As expected, total CD3<sup>+</sup>T cell numbers were not substantially altered after 5 days stimulation with HMB-PP (<xref ref-type="fig" rid="f3"><bold>Figure&#xa0;3A</bold></xref>) whereas the V&#x3b4;2<sup>+</sup> subset was selectively expanded in BD patients (Active BD; non-stimulated 2.53 &#xb1; 0.52% versus HMB-PP stimulated 11.4 &#xb1; 2.3%, <italic>P</italic>&#xa0;&lt;&#xa0;0.001) (Inactive BD; non-stimulated 3.32 &#xb1; 0.82% versus HMB-PP stimulated 14.64 &#xb1; 4%, <italic>P</italic>&#xa0;&lt;&#xa0;0.001), and HC donors (non-stimulated 2.6 &#xb1; 0.4% versus HMB-PP stimulated 11.2 &#xb1; 2.9%; <italic>P</italic>&#xa0;&lt;&#xa0;0.001) (<xref ref-type="fig" rid="f3"><bold>Figures&#xa0;3A, B</bold></xref>). Additionally, CXCR5<sup>+</sup>PD-1<sup>+</sup> V&#x3b4;2T-cell frequency fold change (calculated of non-stimulated and HMB-PP-stimulated cultures at each time point) increased over time in the BD group while decreasing in HC, with a significant difference observed by day 5 (BD: 5.9 &#xb1; 0.8% versus HC: 2.4 &#xb1; 1%, <italic>P</italic>&#xa0;=&#xa0;0.04), (<xref ref-type="fig" rid="f4"><bold>Figure&#xa0;4A</bold></xref>). This expansion was accompanied by dynamic changes in expression of selected Tfh markers, presented here as MFI fold change of increase between stimulated and non-stimulated conditions for each sample at each time point and presented as compared means. In the BD group, CD40L expression fold change decreased markedly by day 3 (<italic>P</italic>&#xa0;=&#xa0;0.02) but recovered to levels comparable level with HC samples by day 5. In contrast, CXCR5 expression fold change peaked at day 3 in BD patients, which was significantly higher than in HC samples (<italic>P</italic>&#xa0;=&#xa0;0.008). ICOS and PD-1 expression fold changes increased over time in both groups, reaching significantly higher values of ICOS in the BD group by day 5 (<italic>P</italic>&#xa0;=&#xa0;0.04) (<xref ref-type="fig" rid="f4"><bold>Figure&#xa0;4B</bold></xref>). These findings suggest altered dynamics of Tfh-like functional state acquisition by V&#x3b4;2T-cells from BD patients.</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>HMB-PP stimulates &#x3b3;&#x3b4; T cell increased frequency and proliferation in cell culture. <bold>(A)</bold> Representative FACS dot plots and symbol and line graphs showing the frequency of total CD3<sup>+</sup>, V&#x3b4;1<sup>+</sup>, and V&#x3b4;2<sup>+</sup> cells in non-stimulated control versus HMB-PP-stimulated PBMC cultures (n=14 HC, n=13 active BD, and 13 inactive BD). <bold>(B)</bold> Representative histograms and symbol and line graphs for CMFDA cell tracker dye signal in V&#x3b4;1 and V&#x3b4;2 cells as a readout for HMB-PP-induced proliferation in BD patients and HC donors (compared to non-stimulated cells). Numbers on the plots and histograms represent the percentages of cell populations. *=<italic>P</italic>&#xa0;&lt;&#xa0;0.05; **=<italic>P</italic>&#xa0;&lt;&#xa0;0.01; ***=<italic>P</italic>&#xa0;&lt;&#xa0;0.001, ****=<italic>P</italic>&#xa0;&lt;&#xa0;0.0001 by one and 2-way ANOVA with multiple comparisons.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-17-1763174-g003.tif">
<alt-text content-type="machine-generated">Flow cytometry data of T cells in healthy controls and BD patients, comparing non-stimulated and HMB-PP stimulated conditions. Dot plots show CD3, Vδ1, and Vδ2 T cell percentages. Bar graphs in panel A show significant increases in T cell activation with HMB-PP, indicated by asterisks. Histograms in panel B display CMFDA dye proliferation with a corresponding legend for unstained and stimulated conditions. Comparison highlights differences in cell proliferation and activation between healthy and BD subjects.</alt-text>
</graphic></fig>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>HMB-PP stimulates &#x3b3;&#x3b4; T cell acquisition of Tfh markers. <bold>(A)</bold> Representative plots showing the frequency and line graph showing fold change of increase of CXCR5<sup>+</sup>PD-1<sup>+</sup> V&#x3b4;2 T cells from either BD or HC donor in non-stimulated control versus HMB-PP-activated PBMC cultures on day 5. <bold>(D)</bold> Line graphs showing fold-changes in Tfh marker MFI by V&#x3b4;2T cells at different time points during culture of PBMC from HC donors or patients with BD (n=27 BD, n=11 HC). Numbers on the plots and histograms represent the percentages of cell populations. Panels show the mean &#xb1; SEM of MFI for Tfh markers. *=<italic>P</italic>&#xa0;&lt;&#xa0;0.05; **=<italic>P</italic>&#xa0;&lt;&#xa0;0.01; by one and 2-way ANOVA with multiple comparisons.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-17-1763174-g004.tif">
<alt-text content-type="machine-generated">Flow cytometry plots and line graphs depicting immune response data: Panel A shows contour plots comparing CXCR5 and PD-1 expression in non-stimulated versus HMB-PP-stimulated CD3+V62+ T cells from healthy controls and BD patients. The line graph indicates fold change in CXCR5+PD-1+V62 T cells over five days, comparing HC and BD groups. Panel B presents line graphs showing mean fluorescence intensity fold changes for CD40L, CXCR5, ICOS, and PD-1 over the same period. Error bars indicate variability, with significant differences marked by asterisks.</alt-text>
</graphic></fig>
<p>We next assessed the cytokine profiles of V&#x3b4;2T-cells after 6, 12, and 24 hours of HMB-PP stimulation compared with non-stimulated cells (<xref ref-type="fig" rid="f5"><bold>Figure&#xa0;5</bold></xref>). Distinct expression patterns emerged over time. For instance, IL-4<sup>+</sup> and IL-17<sup>+</sup> cells tended to rise over time in both groups. In contrast, IFN-&#x3b3; <sup>+</sup> and TNF-&#x3b1; <sup>+</sup> cells peaked at 6 hours in both groups and then decreased gradually, maintaining a significantly higher level of expression in BD patients (IFN-&#x3b3;<sup>+</sup> cells; BD: 10.1 &#xb1; 3% versus HC: 1.8 &#xb1; 0.3%, <italic>P</italic>&#xa0;=&#xa0;0.03), (TNF-&#x3b1;<sup>+</sup> cells; BD: 21 &#xb1; 1.9% versus HC: 14 &#xb1; 2.1%, <italic>P</italic>&#xa0;=&#xa0;0.038). Interestingly, IL-10 and IL-21 also peaked at 6 hours but was maintained at significantly higher levels in the BD group by 24 hours (IL-10<sup>+</sup> cells; BD: 3.4 &#xb1; 1.2% versus HC: 1.64 &#xb1; 0.38%, <italic>P</italic>&#xa0;=&#xa0;0.03) (IL-21<sup>+</sup> cells; BD: 2.54 &#xb1; 0.55% versus HC: 1.07 &#xb1; 0.3%, <italic>P</italic>&#xa0;=&#xa0;0.04) (<xref ref-type="fig" rid="f5"><bold>Figure&#xa0;5</bold></xref>).</p>
<fig id="f5" position="float">
<label>Figure&#xa0;5</label>
<caption>
<p>Distinct patterns of intracellular cytokine production by V&#x3b4;2 T cells following HMB-PP- stimulation. <bold>(A)</bold> Representative FACS contour plots showing intracellular IFN-&#x3b3; expression in stimulated V&#x3b4;2 T cells from either HC and BD patient at 0 (unstimulated), 6, 12, and 24 hours post-HMB-PP stimulation. <bold>(B)</bold> Line graphs showing frequency of V&#x3b4;2 T cells producing IL-4, IL-10, IL-17, IL-21, IFN-&#x3b3;, and TNF-&#x3b1; (HC&#xa0;=&#xa0;7, BD&#xa0;=&#xa0;12). Numbers on plots represent the percentages of cell populations. Data in line graphs represent the mean &#xb1; SEM %. *=P&lt;0.05; by 2-way ANOVA tests with multiple comparisons.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-17-1763174-g005.tif">
<alt-text content-type="machine-generated">Flow cytometry and line graphs showing immune response data.   Panel A: Flow cytometry plots of Vδ2⁺ T cells stimulated with HMB-PP for 6, 12, and 24 hours in healthy controls and BD patients, measuring IFN-γ expression.  Panel B: Line graphs displaying cytokine levels (IL-4, IL-10, IL-17, IL-21, IFN-γ, TNF-α) over time for healthy controls (squares) and BD patients (triangles), with significance indicated by asterisks.</alt-text>
</graphic></fig>
</sec>
<sec id="s3_4">
<label>3.4</label>
<title>Activated V&#x3b4;2 cells with Tfh-like functional profile support B cell transition to a plasma cell profile in BD</title>
<p>We next investigated the ability of activated V&#x3b4;2T-cells to induce B cell proliferation and differentiation <italic>in vitro</italic>. First, we established a positive control culture system to confirm efficient B cell proliferation and differentiation under our culture conditions (<xref ref-type="supplementary-material" rid="SF2"><bold>Supplementary Figure&#xa0;2</bold></xref>). Next, we tested the effect of HMB-PP-activated V&#x3b4;2T-cells on B-cell proliferation and differentiation within total PBMC cell cultures. While the total proportions of CD19<sup>+</sup>B cells were similar in BD and HC groups following stimulation (<xref ref-type="fig" rid="f6"><bold>Figure&#xa0;6A</bold></xref>), the frequency of proliferating B-cells detected was significantly higher in BD patients with active disease (4.6 &#xb1; 1.3% versus 32.1 &#xb1; 6.6%, <italic>P</italic>&#xa0;&lt;&#xa0;0.001), compared to both inactive BD (1.8 &#xb1; 0.3% versus 17.4 &#xb1; 2.5%, <italic>P</italic>&#xa0;=&#xa0;0.06), and HC donors (7 &#xb1; 2% versus 21.5 &#xb1; 6.2%, <italic>P</italic>&#xa0;=&#xa0;0.08), (<xref ref-type="fig" rid="f6"><bold>Figure&#xa0;6B</bold></xref>).</p>
<fig id="f6" position="float">
<label>Figure&#xa0;6</label>
<caption>
<p>Activated V&#x3b4;2T-cells induce B-cell proliferation and differentiation into autoantibody-producing plasma cells. <bold>(A)</bold> Representative FACS plots and cumulative data showing total CD19<sup>+</sup>B cells in control versus HMB-PP-activated PBMC cultures on day 5 (n=14 HC, n=13 active BD, and 13 inactive BD). <bold>(B)</bold> Representative histograms and symbol and line plots of CMFDA cell tracker dye signal in B cell proliferation after HMB-PP stimulation in HC and BD patients compared to non-stimulated cells. <bold>(C)</bold> Representative FACS plots and graphs showing frequency in induced plasma cells (CD19<sup>+</sup>CD27<sup>+</sup>CD38<sup>hi</sup>) after 5 days in control versus HMB-PP-stimulated cultures (n= 24 HC donors, n=14 active disease, and 31 inactive BD). <bold>(D)</bold> Representative FACS plots and graphs showing frequency in CD19<sup>+</sup>IFR4<sup>hi</sup>PAX5<sup>lo</sup> cells on day 5 in control versus HMB-PP-stimulated cultures of PBMC. Data represent the mean &#xb1; SEM %. Numbers on plots and histograms represent the percentages of cell populations. *=<italic>P</italic>&#xa0;&lt;&#xa0;0.05; **=<italic>P</italic>&#xa0;&lt;&#xa0;0.01; ***=<italic>P</italic>&#xa0;&lt;&#xa0;0.001, ****=<italic>P</italic>&#xa0;&lt;&#xa0;0.0001 by 2-way ANOVA and multiple comparisons.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-17-1763174-g006.tif">
<alt-text content-type="machine-generated">Flow cytometry analysis of B cells. Panel A shows dot plots and a graph comparing CD19+ B cells in healthy control and BD patient samples before and after HMB-PP stimulation. Panel B depicts histograms and a graph for proliferating B cells using CMFDA cell tracker. Panel C presents dot plots and a graph for plasma cells, measured by CD27 and CD38 expression. Panel D contains dot plots and a graph for IRF-4hi PAX-5lo cells. Statistical significance is indicated by asterisks, with various percentages displayed for each condition.</alt-text>
</graphic></fig>
<p>Using the same culture system, we next investigated whether increased frequency of proliferating B-cells was linked with enhanced differentiation into plasma cells (CD19<sup>+</sup>CD27<sup>+</sup>CD38<sup>hi</sup>). Following HMB-PP stimulation, the percentages of plasma cells were significantly higher in the Active BD group (10.85 &#xb1; 2.95%) compared to the inactive BD (4.2 &#xb1; 0.76%, <italic>P</italic>&#xa0;=&#xa0;0.02) and HC groups (6.4 &#xb1; 1.45%, <italic>P</italic>&#xa0;&lt;&#xa0;0.001) (<xref ref-type="fig" rid="f6"><bold>Figure&#xa0;6C</bold></xref>). Since expression of IRF-4 and PAX-5 in CD19<sup>+</sup>B-cells controls differentiation into plasma cells, we proceeded to test whether HMB-PP activation of V&#x3b4;2T cells could influence the expression of these transcription factors. Flow cytometry analyses showed that under HMB-PP-stimulated conditions, the frequency of IFR-4<sup>hi</sup>PAX-5<sup>lo</sup> cells was significantly higher in the Active BD group (25.13 &#xb1; 4.77%) compared to the inactive BD (15.14 &#xb1; 2.51%, <italic>P</italic>&#xa0;=&#xa0;0.038) and HC (15.81 &#xb1; 3.18%, <italic>P</italic>&#xa0;=&#xa0;0.19) (<xref ref-type="fig" rid="f6"><bold>Figure&#xa0;6D</bold></xref>), indicating enrichment of a subset reported to display the highest potential for differentiation into antibody-producing plasma cells (<xref ref-type="bibr" rid="B31">31</xref>). Since changes in B-cell expression of IRF-4 and Pax-5 might be associated with the cytokine milieu generated by HMB-PP stimulation in total PBMC cell cultures, we next quantified supernatant levels of key cytokines and chemokines at early (<xref ref-type="fig" rid="f7"><bold>Figure&#xa0;7</bold></xref>) and late (<xref ref-type="supplementary-material" rid="SF3"><bold>Supplementary Figure&#xa0;3</bold></xref>) timepoints of the cell cultures (on day 1 and 5 of culture). Using the Luminex assay to assess multiple cytokines and chemokines in cell culture supernatants (IL-4, IL-10, IL-17, IL-21, CXCL13, IFN-&#x3b3;, TNF-&#x3b1;), we observed that all mediators apart from IL-10 were expressed at higher levels in the BD group, whereas IL-21 could not be detected in day 1 cultures (<xref ref-type="fig" rid="f7"><bold>Figure&#xa0;7</bold></xref>). These early differences tended to resolve with increasing duration of culture, such that measured cytokine levels were comparable between BD and HC cultures by day 5 (<xref ref-type="supplementary-material" rid="SF3"><bold>Supplementary Figure&#xa0;3</bold></xref>; <xref ref-type="supplementary-material" rid="SF10"><bold>Supplementary Table&#xa0;7</bold></xref>).</p>
<fig id="f7" position="float">
<label>Figure&#xa0;7</label>
<caption>
<p>V&#x3b4;2T-cell activation induces a cytokine milieu associated with B-cell differentiation. Symbol and line graphs showing cytokine levels in cell culture supernatant measured after 1 day of HMB-PP stimulation (HC&#xa0;=&#xa0;4, BD&#xa0;=&#xa0;6) relative to unstimulated control cultures. Figures show individual values. *=<italic>P</italic>&#xa0;&lt;&#xa0;0.05; **=<italic>P</italic>&#xa0;&lt;&#xa0;0.01; ***=<italic>P</italic>&#xa0;&lt;&#xa0;0.001 by 2-way ANOVA with multiple comparisons.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-17-1763174-g007.tif">
<alt-text content-type="machine-generated">Graphs comparing cytokine and chemokine levels between healthy controls (HC) and individuals with disease (BD) for IL-4, IL-10, IL-17, CXCL13, IFN-gamma, and TNF-alpha. Each plot shows two groups: non-stimulated (blue circles) and HMB-PP stimulated (red circles), with lines connecting paired samples. Significant differences are marked with asterisks.</alt-text>
</graphic></fig>
</sec>
<sec id="s3_5">
<label>3.5</label>
<title>Anti-HSP60 autoantibodies are increased in patients with BD</title>
<p>Given that BD disease activity correlated with V&#x3b4;2 Tfh-like functional profile and B cell function across multiple assays, we next used clinical data to explore potential associations with serum levels of IgA, IgG, and IgM. Immunoglobulin concentrations in BD patients were similar to reported healthy adults mean levels and within normal range (<xref ref-type="fig" rid="f8"><bold>Figure&#xa0;8A</bold></xref>). However, anti-HSP60 autoantibody levels were significantly higher in serum from patients with active BD (212.5 &#xb1; 36.4ng/mL) compared with inactive disease (57.65 &#xb1; 8.1 ng/mL; <italic>P</italic>&#xa0;=&#xa0;0.0001) or HC donors (74.36 &#xb1; 10.9 ng/mL; <italic>P</italic>&#xa0;=&#xa0;0.013) (<xref ref-type="fig" rid="f8"><bold>Figure&#xa0;8B</bold></xref>). Independent from disease activity, supernatant levels of anti-HSP60 autoantibodies were significantly increased after HMB-PP stimulation of cell cultures of BD patients with ocular phenotype (3.25 &#xb1; 0.77 ng/mL) compared to mucocutaneous (0.3 &#xb1; 0.18 ng/mL; <italic>P</italic>&#xa0;&lt;&#xa0;0.0001) and HC donor cells (1.66 &#xb1; 0.33 ng/mL, <italic>P</italic>&#xa0;=&#xa0;0.012) (<xref ref-type="fig" rid="f8"><bold>Figure&#xa0;8C</bold></xref>). In the long-term cell cultures, cell viability remained high at day 10 when harvesting the supernatants for the functional autoantibody readout (<xref ref-type="fig" rid="f8"><bold>Figure&#xa0;8D</bold></xref>).</p>
<fig id="f8" position="float">
<label>Figure&#xa0;8</label>
<caption>
<p>Increased levels of anti-HSP60 autoantibodies in patients with BD. <bold>(A)</bold> Total concentration of IgA, IgG, and IgM antibodies in blood serum from BD patients (n=44). Dotted lines indicate the average concentration reported for healthy adults. Concentration of anti-HSP60 autoantibodies (IgA, IgG and IgM) in <bold>(B)</bold> BD and HC serum (HC&#xa0;=&#xa0;12, Active BD&#xa0;=&#xa0;9, Inactive BD&#xa0;=&#xa0;23), or <bold>(C)</bold> cell culture supernatants (HC&#xa0;=&#xa0;9, mucocutaneous BD&#xa0;=&#xa0;6, and ocular BD&#xa0;=&#xa0;10). <bold>(D)</bold> Representative histograms and cumulative data of cell viability in bar charts showing frequencies of live lymphocytes, CD19<sup>+</sup> B cells and V&#x3b4;2<sup>+</sup> T cells after 10 days of cell culture. Plots show individual values and mean. *=<italic>P</italic>&#xa0;&lt;&#xa0;0.05; **=<italic>P</italic>&#xa0;&lt;&#xa0;0.01; ***=<italic>P</italic>&#xa0;&lt;&#xa0;0.001, ****=<italic>P</italic>&#xa0;&lt;&#xa0;0.0001 by Mann Whitney&#x2019;s, Kruskal-Wallis&#x2019;s, and 2-way ANOVA tests with multiple comparisons.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-17-1763174-g008.tif">
<alt-text content-type="machine-generated">Graphs and charts show immunological data related to Behçet's disease (BD). Panel A displays scatter plots of serum immunoglobulin levels: IgA, IgG, and IgM in BD patients. Panel B shows a bar graph of anti-HSP60 autoantibody levels across healthy controls (HC), and active and inactive BD patients. Panel C features a similar analysis for different patient groups: HC, BD with mucocutaneous lesions (BD-MC), and BD with ocular complications (BD-OC). Panel D includes histograms and bar graphs showing viability and percentages of lymphocytes, CD19⁺ B cells, and Vδ2⁺ T cells, comparing unstimulated and HMB-PP treatments.</alt-text>
</graphic></fig>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<label>4</label>
<title>Discussion</title>
<p>BD pathogenesis is associated with abnormal frequency and activation of major lymphocyte lineages (<xref ref-type="bibr" rid="B1">1</xref>, <xref ref-type="bibr" rid="B2">2</xref>) including polyclonal B-cell activation (<xref ref-type="bibr" rid="B3">3</xref>), and spontaneous antibody production (<xref ref-type="bibr" rid="B2">2</xref>), but the underlying disease mechanisms remain unclear. A key role for B-lymphocytes has been demonstrated by significant clinical improvement in BD symptoms following B-cell depletion using anti-CD20 antibodies (<xref ref-type="bibr" rid="B33">33</xref>, <xref ref-type="bibr" rid="B34">34</xref>). We now provide evidence that stimulation of circulating V&#x3b4;2T cells within an intact PBMC context can promote B-cell differentiation and exert an important influence on systemic autoantibody production in patients with BD and could therefore represent an additional cellular target for novel therapies.</p>
<p>We observed higher blood V&#x3b4;2T-cell frequencies in active BD, consistent with the findings of other investigators reporting higher frequencies in BD in general (<xref ref-type="bibr" rid="B23">23</xref>, <xref ref-type="bibr" rid="B35">35</xref>). However, it is important to note that some previous studies have identified comparable &#x3b3;&#x3b4;T-cell numbers in BD and healthy adults (<xref ref-type="bibr" rid="B36">36</xref>), potentially due to the confounding effects of variable disease activity, immunosuppressive medications, and/or co-morbidities. Nonetheless, there is evidence that &#x3b3;&#x3b4;T-cells can regulate B cell functions via different mechanisms, including expression of Tfh markers (CD40L, CXCR5, ICOS, and PD-1) and production of cytokines (IL-4, IL-10, and IL-21) required to prime antibody production (<xref ref-type="bibr" rid="B10">10</xref>, <xref ref-type="bibr" rid="B37">37</xref>&#x2013;<xref ref-type="bibr" rid="B40">40</xref>). In active BD, we detected elevated PD-1 expression by V&#x3b4;2T-cells, perhaps indicating ongoing activation of this subset. Additionally, we detected higher frequencies of CXCR5<sup>+</sup>PD-1<sup>+</sup> double positive V&#x3b4;2T-cells in patients with active BD, which resembles the classical functional definition of Tfh CD4<sup>+</sup> cells. Together, these data suggest that V&#x3b4;2T-cells can acquire a non-classical &#x2018;Tfh-like&#x2019; functional state in BD patients, consistent with the known functional flexibility of V&#x3b4;2T cells in autoimmune conditions (<xref ref-type="bibr" rid="B10">10</xref>, <xref ref-type="bibr" rid="B41">41</xref>). The V&#x3b4;2T and B cell interactions within the context of total PBMCs have been studied in human and mice studies, because this approach preserves the physiological multicellular context in which V&#x3b4;2 T cells and B cells normally interact (<xref ref-type="bibr" rid="B28">28</xref>&#x2013;<xref ref-type="bibr" rid="B30">30</xref>). However, it&#x2019;s important to understand the direct and indirect axis of this interaction. Caccamo, et.al, successfully isolated circulating V&#x3b4;2 T cells and tonsillar B cells from healthy donors and demonstrated, using a co-culture system, that HMB-PP stimulation replicated the effects noted in the total PBMC cultures (<xref ref-type="bibr" rid="B10">10</xref>, <xref ref-type="bibr" rid="B37">37</xref>&#x2013;<xref ref-type="bibr" rid="B40">40</xref>); these results suggest the possibility of a direct interaction between the 2 isolated populations independent of other cell types. Nonetheless, a multicellular context should be considered especially under immune dysregulation conditions like in BD. Multiple additional cells might be involved in mediating interactions between V&#x3b4;2 T and B cell interactions, including antigen presenting cells such as dendritic cells, classical CD4 Tfh cells, or cytokine producer cells such as monocytes (<xref ref-type="bibr" rid="B10">10</xref>, <xref ref-type="bibr" rid="B37">37</xref>, <xref ref-type="bibr" rid="B40">40</xref>).</p>
<p>Classical interactions between Tfh and B cells are reported to occur around 1&#x2013;2 days after exposure to antigen (<xref ref-type="bibr" rid="B39">39</xref>). Liu et&#xa0;al. observed that CD40L is upregulated on activated CD4 T-cells as early as 6&#x2013;24 hours following antigen recognition, then declines gradually in parallel with ICOS and CXCR5 upregulation from 48&#x2013;72 hours (<xref ref-type="bibr" rid="B39">39</xref>). Shi et&#xa0;al. demonstrated that ICOS can then promote expression of CXCR5 and PD-1 (<xref ref-type="bibr" rid="B40">40</xref>), which aligns with our current findings. Here, we observed that CD40L expression decreased significantly after the first day of stimulation in BD patients accompanied by marked increases in both intracellular and released levels of IL-4, IL-10, IL-17, IL-21, IFN-&#x3b3;, TNF-&#x3b1;, and B-cell-attracting chemokine CXCL13. Furthermore, from culture day 3 onwards both ICOS and CXCR5 were markedly induced in BD cells but not HC cultures. These data suggest that while the V&#x3b4;2T subset displays a similar proliferative response to HMB-PP in both BD and HC donors, as expected (<xref ref-type="bibr" rid="B37">37</xref>), these cells acquire a more prominent Tfh-like functional state in BD early after stimulation, resembling the functional profile of circulating Tfh cells in humans (<xref ref-type="bibr" rid="B13">13</xref>, <xref ref-type="bibr" rid="B14">14</xref>), rather than the classical Tfh cells located in germinal centres. This might imply a functional divergence or lack of regulatory mechanisms that control expression of these markers and cytokines in HC cells. These findings are in-line with previous reports that &#x3b3;&#x3b4;T-cells can express key Tfh markers and B-cell-helping cytokines in both mice and humans (<xref ref-type="bibr" rid="B10">10</xref>, <xref ref-type="bibr" rid="B37">37</xref>, <xref ref-type="bibr" rid="B38">38</xref>). There is also evidence that abnormal V&#x3b4;2T-cell crosstalk with B cells can lead to overproduction of IL-4, potentially breaking tolerance and leading to polyclonal B-cell responses and autoantibody production (<xref ref-type="bibr" rid="B5">5</xref>, <xref ref-type="bibr" rid="B42">42</xref>).</p>
<p>It has recently become clear that &#x3b3;&#x3b4;T-cell activation in both mice and humans can exert a strong impact on humoral immunity under steady-state conditions (<xref ref-type="bibr" rid="B5">5</xref>, <xref ref-type="bibr" rid="B9">9</xref>), but also in pathological settings such as systemic lupus erythematosus (SLE) (<xref ref-type="bibr" rid="B10">10</xref>, <xref ref-type="bibr" rid="B43">43</xref>). We observed that V&#x3b4;2T-cell activation in our PBMC culture system was associated with significantly increased B-cell proliferation in BD patients relative to HC donors. B cell proliferation and differentiation into plasma cells are known to be regulated by nuclear transcription factors including Blimp-1, IRF4, and Pax5 (<xref ref-type="bibr" rid="B44">44</xref>, <xref ref-type="bibr" rid="B45">45</xref>). Once committed to differentiation, B cells first increase Blimp-1 expression, which then regulates PAX5-mediated maturation, whilst IRF-4 supports the survival of mature plasma cells (<xref ref-type="bibr" rid="B31">31</xref>). Our analysis showed that plasma cell induction and IRF-4<sup>hi</sup>Pax-5<sup>lo</sup> cell frequency were significantly higher in HMB-PP-stimulated cultures from BD patients with active disease. This suggests that help provided by specifically stimulated V&#x3b4;2T-cells might promote B cell activation in total PBMC context, breaking of tolerance, and support autoantibody production. In mice with severe combined immunodeficiency (SCID), adoptive transfer of &#x3b3;&#x3b4;T with B cells is sufficient to induce germinal centre development, providing <italic>in vivo</italic> evidence that &#x3b3;&#x3b4;T-cells alone can regulate B cell follicular responses (<xref ref-type="bibr" rid="B46">46</xref>). These &#x3b3;&#x3b4;T-cell-dependent germinal centres have also been reported to display high rates of class-switching and autoreactive antibody generation (<xref ref-type="bibr" rid="B37">37</xref>, <xref ref-type="bibr" rid="B47">47</xref>). Consistent with these animal data, human &#x3b3;&#x3b4;T cell lines have also been shown to induce rapid autoantibody production during co-culture with autologous B cells (<xref ref-type="bibr" rid="B11">11</xref>, <xref ref-type="bibr" rid="B37">37</xref>) via mechanisms that involve ICOS, CD40L, IL-4, IL-10, and IL-21 (<xref ref-type="bibr" rid="B37">37</xref>, <xref ref-type="bibr" rid="B48">48</xref>). These other mediators have already been strongly linked with BD disease activity (<xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B49">49</xref>), and effective treatment options include blocking or neutralising antibodies against key pro-inflammatory cytokine TNF-&#x3b1; (<xref ref-type="bibr" rid="B50">50</xref>). Bacterial metabolites are potent inducers of IFN-&#x3b3; expression in human mucosal &#x3b3;&#x3b4;T-cells (<xref ref-type="bibr" rid="B51">51</xref>), which may also be triggered by infection in the context of BD (<xref ref-type="bibr" rid="B52">52</xref>), whereas non-specific activation of this compartment could lead to increased production of IL-17 (<xref ref-type="bibr" rid="B41">41</xref>).</p>
<p>The role of immunoglobulins in BD pathogenesis remains controversial (<xref ref-type="bibr" rid="B2">2</xref>). Resembling the findings of several other studies (<xref ref-type="bibr" rid="B19">19</xref>, <xref ref-type="bibr" rid="B53">53</xref>, <xref ref-type="bibr" rid="B54">54</xref>), our analysis of anti-HSP60 autoantibody levels indicated significantly higher concentrations in the serum of BD patients with active disease. Previous reports stated that selectively activated V&#x3b4;2T-cell displaying high expression of CXCR5, IL-10, and IL-21 can support antibody production <italic>in vitro</italic> (<xref ref-type="bibr" rid="B10">10</xref>, <xref ref-type="bibr" rid="B37">37</xref>). Consistent with these data, we also detected increased levels of anti-HSP60 autoantibodies in our extended BD cell cultures stimulated with HMB-PP. Human HSP60 is upregulated in inflamed ocular tissues and active oral ulcers in BD (<xref ref-type="bibr" rid="B20">20</xref>, <xref ref-type="bibr" rid="B21">21</xref>). Additionally, high titres of anti-retinal HSP60 have previously been correlated with BD-associated uveitis in human studies and mouse models (<xref ref-type="bibr" rid="B19">19</xref>, <xref ref-type="bibr" rid="B53">53</xref>). Considering that &#x3b3;&#x3b4;T-cells can recognise mycobacterial and streptococcal-derived HSP65 (<xref ref-type="bibr" rid="B2">2</xref>, <xref ref-type="bibr" rid="B21">21</xref>&#x2013;<xref ref-type="bibr" rid="B23">23</xref>) a close molecular mimic of human HSP60, and that such recognition might induce host responses against human HSP60 (<xref ref-type="bibr" rid="B24">24</xref>, <xref ref-type="bibr" rid="B25">25</xref>), thereby promoting autoantibody generation in BD (<xref ref-type="bibr" rid="B26">26</xref>), we selected the bacterial antigen HMB-PP as a well-documented bacterial stimulus for V&#x3b4;2 T cells. This approach allowed us to evaluate the B-cell&#x2013;helping function of V&#x3b4;2 T cells, which act as in an MHC-independent and non-antigen-specific manner. Our results therefore suggest that V&#x3b4;2T-cell-mediated activation of B cells -within a multicellular PBMC context- may promote the generation of anti-HSP60 autoantibodies, which may in-turn be associated with distinct BD phenotypes and disease activity (<xref ref-type="bibr" rid="B19">19</xref>, <xref ref-type="bibr" rid="B55">55</xref>). Importantly, these data extends the evidence that V&#x3b4;2T-cells can provide broad B-cell-help -with possible contribution of other immune cells- and enhance non-specific autoantibody production following activation with an unrelated antigen such as HMB-PP rather than HSP60 protein itself (<xref ref-type="bibr" rid="B37">37</xref>).</p>
<p>We acknowledge certain limitations in our study. The blood sample volumes collected from the patients were limited - in accordance with the study&#x2019;s ethical approval conditions, thus restricting replicating the same patient cohort across all our cultures and assays. As a tertiary referral center, all BD patients recruited at the BD centre of Excellence - are currently receiving treatment, varying from topical creams up to immunosuppressive biological options. We conducted our cultures using total PBMCs by design to mimic physiological <italic>in vivo</italic> conditions (<xref ref-type="bibr" rid="B28">28</xref>&#x2013;<xref ref-type="bibr" rid="B30">30</xref>). Further studies using sorted V&#x3b4;2T and B cell cultures will help answer the question about indirect help from other immune cells. Also, our work could be complemented by biopsy-focused studies to assess whether similar B-helper features are highlighted in tissue V&#x3b4;2T cells. Transcriptomic analysis will help uncover the direct mechanism by which V&#x3b4;2T-cells promote autoantibody production in BD.</p>
</sec>
<sec id="s5" sec-type="conclusions">
<label>5</label>
<title>Conclusions</title>
<p>Many autoimmune diseases are characterized by marked production of autoantibodies, typically thought to be supported by Tfh cells <italic>in vivo</italic>. The current study provides new evidence that alternative V&#x3b4;2T cell functional profiles may also provide effective help for autoantibody production in the context of BD. Identifying the exact mechanisms and mediators underpinning this interaction will improve current understanding of BD pathophysiology and could potentially lead to the development of novel therapies for affected patients.</p>
</sec>
</body>
<back>
<sec id="s6" 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="s7" sec-type="ethics-statement">
<title>Ethics statement</title>
<p>The studies involving human samples were approved by The Queen Mary Research Ethics Committee and City Research Ethics Committee (P/03/122) in full compliance with the Helsinki Declaration. The studies were conducted in accordance with the local legislation and institutional requirements. The participants provided their written informed consent to participate in this study.</p></sec>
<sec id="s8" sec-type="author-contributions">
<title>Author contributions</title>
<p>SM: Conceptualization, Formal analysis, Investigation, Methodology, Visualization, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing. AA: Conceptualization, Formal analysis, Investigation, Methodology, Writing&#xa0;&#x2013; review &amp; editing. RM: Investigation, Methodology, Writing &#x2013; review &amp; editing. S-PO: Investigation, Methodology, Writing &#x2013; review &amp; editing. RI: Investigation, Methodology, Writing &#x2013; review &amp; editing. AB: Project administration, Resources, Writing &#x2013; review &amp; editing. AS: Project administration, Resources, Writing &#x2013; review &amp; editing. CP: Investigation, Methodology, Writing &#x2013; review &amp; editing. NM: Conceptualization, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing, Formal analysis. FF: Funding acquisition, Resources, Writing &#x2013; review &amp; editing, Formal analysis. FF-B: Conceptualization, Formal analysis, Methodology, Supervision, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing.</p></sec>
<ack>
<title>Acknowledgments</title>
<p>We would like to sincerely thank the patients and healthy volunteers who agreed to participate in this study. We thank Professor Rizgar Mageed (William Harvey Research Institute, QMUL) for critical reading of the manuscript.</p>
</ack>
<sec id="s10" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>The author(s) declared that this work 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="s11" sec-type="ai-statement">
<title>Generative AI statement</title>
<p>The authors declare that no Gen AI was used in the creation of this manuscript.</p>
<p>Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.</p></sec>
<sec id="s12" 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>
<sec id="s13" sec-type="supplementary-material">
<title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fimmu.2026.1763174/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fimmu.2026.1763174/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="Image1.jpeg" id="SF1" mimetype="image/jpeg"><label>Supplementary Figure&#xa0;1</label>
<caption>
<p>Profiling of CD19<sup>+</sup> B-cells and &#x3b3;&#x3b4; T cells <italic>ex vivo</italic> across BD clinical phenotypes The dot plot shows the frequency of total CD19<sup>+</sup>B cells <bold>(A)</bold> total CD3<sup>+</sup> T cells <bold>(B)</bold>, and &#x3b3;&#x3b4; T cells <bold>(C)</bold> in HC donors and patients with BD grouped according to clinical phenotype (mucocutaneous MC, or ocular OC) (n=25 HC, 30 BD-MC, and 28 BD-OC). Cumulative mean fluorescence intensity (MFI) data for V&#x3b4;1+ <bold>(D)</bold> and V&#x3b4;2+ populations <bold>(E)</bold> (n=15 HC, 16 BD-MC, and 13 BD-OC). F) Summary dot plots showing frequency of V&#x3b4;1 T cells producing IL-4, IL-10, IL-17, IL-21, IFN-&#x3b3;, and TNF-&#x3b1; (n=7 HC and n=12 BD patients). Results show individual values and mean &#xb1; SEM. *=<italic>P</italic>&#xa0;&lt;&#xa0;0.05; **=<italic>P</italic>&#xa0;&lt;&#xa0;0.01; ***=<italic>P</italic>&#xa0;&lt;&#xa0;0.001, ****=<italic>P</italic>&#xa0;&lt;&#xa0;0.0001 by Mann Whitney test, one and 2-way ANOVA with multiple comparisons.</p>
</caption></supplementary-material>
<supplementary-material xlink:href="Image2.jpeg" id="SF2" mimetype="image/jpeg"><label>Supplementary Figure&#xa0;2</label>
<caption>
<p>Positive control B cell simulation during <italic>in vitro</italic> culture <bold>(A)</bold> B cell proliferation after direct stimulation in HC donors and BD patients compared to non-stimulated cells is shown in representative histograms and as individual values in symbol and line plots. Frequency of induced plasma cell (CD19<sup>+</sup>CD27<sup>+</sup>CD38<sup>hi</sup>) and IRF-4<sup>hi</sup>PAX-5<sup>lo</sup> CD19<sup>+</sup>B cells in non-stimulated versus direct B cell stimulation is shown in representative flow cytometry plots and in symbol and line plots (<bold>(B, C)</bold> respectively). Numbers on the plots and histograms represent the percentages of cell populations. *=<italic>P</italic>&#xa0;&lt;&#xa0;0.05; **=<italic>P</italic>&#xa0;&lt;&#xa0;0.01; ***=<italic>P</italic>&#xa0;&lt;&#xa0;0.001, ****=<italic>P</italic>&#xa0;&lt;&#xa0;0.0001 by 2-way ANOVA and multiple comparisons.</p>
</caption></supplementary-material>
<supplementary-material xlink:href="Image3.jpeg" id="SF3" mimetype="image/jpeg"><label>Supplementary Figure&#xa0;3</label>
<caption>
<p>Changes in cytokine levels after prolonged V&#x3b4;2T-cell activation Symbol and line graphs showing cytokine levels in cell culture supernatant measured after 5 days of HMB-PP stimulation in HC donors (n=11) and BD patients (n=25) relative to unstimulated control cultures. Figures show individual values. *=<italic>P</italic>&#xa0;&lt;&#xa0;0.05; **=<italic>P</italic>&#xa0;&lt;&#xa0;0.01; by 2-way ANOVA with multiple comparisons.</p>
</caption></supplementary-material>
<supplementary-material xlink:href="Supplementaryfile1.docx" id="SF4" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document"><label>Supplementary Table&#xa0;1</label>
<caption>
<p>Flow-cytometry panel for analysis of B-cell and &#x3b3;&#x3b4; T-cell subpopulations.</p>
</caption></supplementary-material>
<supplementary-material xlink:href="Supplementaryfile1.docx" id="SF5" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document"><label>Supplementary Table&#xa0;2</label>
<caption>
<p>Flow-cytometry panel for analysis of B-cell and &#x3b3;&#x3b4;Tfh-like profiles.</p>
</caption></supplementary-material>
<supplementary-material xlink:href="Supplementaryfile1.docx" id="SF6" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document"><label>Supplementary Table&#xa0;3</label>
<caption>
<p>Flow-cytometry panel for analysis of cultured B-cells and &#x3b3;&#x3b4; cells.</p>
</caption></supplementary-material>
<supplementary-material xlink:href="Supplementaryfile1.docx" id="SF7" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document"><label>Supplementary Table&#xa0;4</label>
<caption>
<p>Flow cytometry panel for analysis of plasma cells and transcription factor expression.</p>
</caption></supplementary-material>
<supplementary-material xlink:href="Supplementaryfile1.docx" id="SF8" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document"><label>Supplementary Table&#xa0;5</label>
<caption>
<p>Flow-cytometry panel for analysis of intracellular cytokines in &#x3b3;&#x3b4;+T cells.</p>
</caption></supplementary-material>
<supplementary-material xlink:href="Supplementaryfile1.docx" id="SF9" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document"><label>Supplementary Table&#xa0;6</label>
<caption>
<p>Flow-cytometry panel for analysis of intracellular cytokines in &#x3b3;&#x3b4;+T cells.</p>
</caption></supplementary-material>
<supplementary-material xlink:href="Supplementaryfile1.docx" id="SF10" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document"><label>Supplementary Table&#xa0;7</label>
<caption>
<p>Multiplex Cytokine array results (Mean &#xb1; SEM) and fold change of increase after HMB-PP stimulation.</p>
</caption></supplementary-material></sec>
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<p>Edited by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/730367">Xuefeng Wang</ext-link>, Soochow University, China</p></fn>
<fn id="n2" fn-type="custom" custom-type="reviewed-by">
<p>Reviewed by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/314219">Stephanie Graff-Dubois</ext-link>, Sorbonne Universit&#xe9;s, France</p>
<p><ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1272381">Can Erzik</ext-link>, Marmara University, T&#xfc;rkiye</p></fn>
</fn-group>
</back>
</article>