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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Cell. Neurosci.</journal-id>
<journal-title>Frontiers in Cellular Neuroscience</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Cell. Neurosci.</abbrev-journal-title>
<issn pub-type="epub">1662-5102</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fncel.2024.1337339</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Neuroscience</subject>
<subj-group>
<subject>Review</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Peripheral memory B cells in multiple sclerosis vs. double negative B cells in neuromyelitis optica spectrum disorder: disease driving B cell subsets during CNS inflammation</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Tieck</surname> <given-names>M. P.</given-names></name>
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<contrib contrib-type="author">
<name><surname>Vasilenko</surname> <given-names>N.</given-names></name>
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<contrib contrib-type="author">
<name><surname>Ruschil</surname> <given-names>C.</given-names></name>
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<contrib contrib-type="author" corresp="yes">
<name><surname>Kowarik</surname> <given-names>M. C.</given-names></name>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
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<aff><institution>Department of Neurology and Stroke, Center for Neurology, and Hertie-Institute for Clinical Brain Research Eberhard-Karls University of T&#x00FC;bingen</institution>, <addr-line>T&#x00FC;bingen</addr-line>, <country>Germany</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Olga Rojas, University Health Network (UHN), Canada</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Ruxandra F. Sirbulescu, Massachusetts General Hospital and Harvard Medical School, United States</p><p>Gunnar Houen, University of Copenhagen, Denmark</p><p>Roumen Balabanov, Northwestern Medicine, United States</p></fn>
<corresp id="c001">&#x002A;Correspondence: M. C. Kowarik, <email>markus.kowarik@uni-tuebingen.de</email></corresp>
</author-notes>
<pub-date pub-type="epub">
<day>07</day>
<month>02</month>
<year>2024</year>
</pub-date>
<pub-date pub-type="collection">
<year>2024</year>
</pub-date>
<volume>18</volume>
<elocation-id>1337339</elocation-id>
<history>
<date date-type="received">
<day>12</day>
<month>11</month>
<year>2023</year>
</date>
<date date-type="accepted">
<day>16</day>
<month>01</month>
<year>2024</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2024 Tieck, Vasilenko, Ruschil and Kowarik.</copyright-statement>
<copyright-year>2024</copyright-year>
<copyright-holder>Tieck, Vasilenko, Ruschil and Kowarik</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/"><p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p></license>
</permissions>
<abstract>
<p>B cells are fundamental players in the pathophysiology of autoimmune diseases of the central nervous system, such as multiple sclerosis (MS) and neuromyelitis optica spectrum disorder (NMOSD). A deeper understanding of disease-specific B cell functions has led to the differentiation of both diseases and the development of different treatment strategies. While NMOSD is strongly associated with pathogenic anti-AQP4 IgG antibodies and proinflammatory cytokine pathways, no valid autoantibodies have been identified in MS yet, apart from certain antigen targets that require further evaluation. Although both diseases can be effectively treated with B cell depleting therapies, there are distinct differences in the peripheral B cell subsets that influence CNS inflammation. An increased peripheral blood double negative B cells (DN B cells) and plasmablast populations has been demonstrated in NMOSD, but not consistently in MS patients. Furthermore, DN B cells are also elevated in rheumatic diseases and other autoimmune entities such as myasthenia gravis and Guillain-Barr&#x00E9; syndrome, providing indirect evidence for a possible involvement of DN B cells in other autoantibody-mediated diseases. In MS, the peripheral memory B cell pool is affected by many treatments, providing indirect evidence for the involvement of memory B cells in MS pathophysiology. Moreover, it must be considered that an important effector function of B cells in MS may be the presentation of antigens to peripheral immune cells, including T cells, since B cells have been shown to be able to recirculate in the periphery after encountering CNS antigens. In conclusion, there are clear differences in the composition of B cell populations in MS and NMOSD and treatment strategies differ, with the exception of broad B cell depletion. This review provides a detailed overview of the role of different B cell subsets in MS and NMOSD and their implications for treatment options. Specifically targeting DN B cells and plasmablasts in NMOSD as opposed to memory B cells in MS may result in more precise B cell therapies for both diseases.</p>
</abstract>
<kwd-group>
<kwd>neuromyelitis optica spectrum disorder</kwd>
<kwd>NMOSD</kwd>
<kwd>multiple sclerosis</kwd>
<kwd>DN B cells</kwd>
<kwd>memory B cells</kwd>
<kwd>AQP4-antibodies</kwd>
<kwd>EBV</kwd>
</kwd-group>
<counts>
<fig-count count="1"/>
<table-count count="3"/>
<equation-count count="0"/>
<ref-count count="101"/>
<page-count count="11"/>
<word-count count="9137"/>
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<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Non-Neuronal Cells</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="S1" sec-type="intro">
<title>Introduction</title>
<p>B cells have been shown to play a key role in the pathogenesis of several autoimmune diseases. The main functions of B cells are antigen recognition and specific antibody production, as well as antigen presentation and cytokine secretion (<xref ref-type="bibr" rid="B19">Cyster and Allen, 2019</xref>). In autoimmune diseases, a major function of B cells can be recognition of self-antigens, possibly by escaping self-tolerance and/or molecular mimicry, and production of auto-reactive antibodies (<xref ref-type="bibr" rid="B28">Hampe, 2012</xref>; <xref ref-type="bibr" rid="B10">Bonasia et al., 2021</xref>). The secretion of antibodies can be detrimental in certain neuro-immunological diseases exemplified by myasthenia gravis, neuromyelitis optica spectrum disorder (NMOSD), MOG antibody associated disorder (MOGAD) or LGI1/NMDA receptor encephalitis (<xref ref-type="bibr" rid="B68">Pr&#x00FC;ss, 2021</xref>). During these autoimmune diseases, auto-antibodies either interfere with the function of the molecules they recognize [e.g., acetylcholine receptor antibodies (AChR) in myasthenia gravis] and/or lead to cell destruction by complement-dependent cytotoxicity (CDC) (e.g., NMOSD) or antibody-dependent cell mediated cytotoxicity (ADCC). Furthermore, B cells can function as antigen-presenting cells, potentially triggering a pathological immune response involving T cells. The secretion of pro-inflammatory cytokines such as IL6, TNF&#x03B1; or interferon gamma might further support autoimmune reaction in terms of a pro-inflammatory milieu and stimulation of immune cells.</p>
<p>This review contrasts the differences in the pathophysiology of MS and NMOSD, with a particular focus on peripheral B cells and B cell subsets and their association with CNS B cells and inflammation. Besides the overall differences of B cell subsets in disease pathology, we summarize the effects of disease-specific treatments on B cell populations and their implications for the pathophysiology of both diseases. Additionally, we explore potential B cell subset-specific treatments for future therapies. The mechanism of action of each drug discussed throughout the text is summarized in <xref ref-type="table" rid="T1">Table 1</xref>. An overview of B cell surface makers is provided in <xref ref-type="table" rid="T2">Table 2</xref>.</p>
<table-wrap position="float" id="T1">
<label>TABLE 1</label>
<caption><p>B cell subset alterations in peripheral blood under various treatments.</p></caption>
<table cellspacing="5" cellpadding="5" frame="box" rules="all">
<thead>
<tr>
<td valign="top" align="left" style="color:#ffffff;background-color: #7f8080;"></td>
<td valign="top" align="left" style="color:#ffffff;background-color: #7f8080;">Mode of action</td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;">Lymphocyte count</td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;">Total B cells</td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;">% Naive B cells</td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;">% Memory B cells</td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;">% Bregs</td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;">% Plasmablast</td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;">% DN</td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;">References</td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Cladribine</td>
<td valign="top" align="left">Purine nucleoside analog selectively depleting peripheral lymphocytes through inhibition of enzymes involved in DNA metabolism</td>
<td valign="top" align="center">&#x2193;</td>
<td valign="top" align="center">&#x2193;</td>
<td valign="top" align="center">&#x2191;</td>
<td valign="top" align="center">&#x2193;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2194;</td>
<td valign="top" align="center">&#x2194;</td>
<td valign="top" align="center"><xref ref-type="bibr" rid="B13">Ceronie et al., 2018</xref>; <xref ref-type="bibr" rid="B76">Ruschil et al., 2023</xref></td>
</tr>
<tr>
<td valign="top" align="left">Teriflunomide</td>
<td valign="top" align="left">Reversibly inhibits dihydro-orotate dehydrogenase. Reduction in proliferation of activated T and B lymphocytes without causing cell death</td>
<td valign="top" align="center">&#x2193;</td>
<td valign="top" align="center">&#x2193;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2193;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2193;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center"><xref ref-type="bibr" rid="B100">Yilmaz et al., 2021</xref></td>
</tr>
<tr>
<td valign="top" align="left">Mitoxantrone</td>
<td valign="top" align="left">Type II topoisomerase inhibitor. Disrupts deoxyribonucleic acid synthesis and repair</td>
<td valign="top" align="center">&#x2193;</td>
<td valign="top" align="center">&#x2193;</td>
<td valign="top" align="center">&#x2191;</td>
<td valign="top" align="center">&#x2193;</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"><xref ref-type="bibr" rid="B43">Kim et al., 2011</xref></td>
</tr>
<tr>
<td valign="top" align="left">Fingolimod</td>
<td valign="top" align="left">Sphingosine-1-phosphate receptor modulator</td>
<td valign="top" align="center">&#x2193;</td>
<td valign="top" align="center">&#x2193;</td>
<td valign="top" align="center">&#x2193;</td>
<td valign="top" align="center">&#x2193;</td>
<td valign="top" align="center">&#x2191;</td>
<td valign="top" align="center">&#x2193;</td>
<td valign="top" align="center">&#x2191;</td>
<td valign="top" align="center"><xref ref-type="bibr" rid="B9">Blumenfeld-Kan et al., 2019</xref>; <xref ref-type="bibr" rid="B42">Kemmerer et al., 2020</xref>; <xref ref-type="bibr" rid="B46">Kowarik et al., 2021</xref></td>
</tr>
<tr>
<td valign="top" align="left">Siponimod</td>
<td valign="top" align="left">Sphingosine-1-phosphate receptor modulator</td>
<td valign="top" align="center">&#x2193;</td>
<td valign="top" align="center">&#x2193;</td>
<td valign="top" align="center">&#x2193;</td>
<td valign="top" align="center">&#x2194;</td>
<td valign="top" align="center">&#x2191;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center"><xref ref-type="bibr" rid="B99">Wu et al., 2020</xref></td>
</tr>
<tr>
<td valign="top" align="left">Natalizumab</td>
<td valign="top" align="left">Humanized monoclonal antibody against the cell adhesion molecule &#x03B1;4-integrin</td>
<td valign="top" align="center">&#x2191;</td>
<td valign="top" align="center">&#x2191;</td>
<td valign="top" align="center">&#x2191;</td>
<td valign="top" align="center">&#x2191;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2193;</td>
<td/>
<td valign="top" align="center"><xref ref-type="bibr" rid="B42">Kemmerer et al., 2020</xref>; <xref ref-type="bibr" rid="B46">Kowarik et al., 2021</xref></td>
</tr>
<tr>
<td valign="top" align="left">Alemtuzumab</td>
<td valign="top" align="left">Monoclonal antibody against CD52</td>
<td valign="top" align="center">&#x2193;</td>
<td valign="top" align="center">&#x2193;&#x2191;</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">&#x2013;</td>
<td valign="top" align="center"><xref ref-type="bibr" rid="B3">Baker et al., 2017a</xref>,<xref ref-type="bibr" rid="B4">b</xref></td>
</tr>
<tr>
<td valign="top" align="left">Ocrelizumab</td>
<td valign="top" align="left">Monoclonal antibody against CD20</td>
<td valign="top" align="center">&#x2193;</td>
<td valign="top" align="center">&#x2193;</td>
<td valign="top" align="center">&#x2193;</td>
<td valign="top" align="center">&#x2193;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2193;</td>
<td valign="top" align="center">&#x2193;</td>
<td valign="top" align="center"><xref ref-type="bibr" rid="B32">Hauser et al., 2021</xref></td>
</tr>
<tr>
<td valign="top" align="left">Interferon Beta</td>
<td valign="top" align="left">Inhibition of T-cell activation and proliferation, apoptosis of autoreactive T cells, induction of regulatory T cells, inhibition of leukocyte migration across the blood-brain barrier.</td>
<td valign="top" align="center">&#x2194;</td>
<td valign="top" align="center">&#x2194;</td>
<td valign="top" align="center">&#x2191;</td>
<td valign="top" align="center">&#x2191;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">NC</td>
<td valign="top" align="center">NC</td>
<td valign="top" align="center"><xref ref-type="bibr" rid="B42">Kemmerer et al., 2020</xref></td>
</tr>
<tr>
<td valign="top" align="left">Dimethyl fumarate</td>
<td valign="top" align="left">Interfere with the aerobic glycolysis of activated lymphoid cells with a high metabolic turnover</td>
<td valign="top" align="center">&#x2193;</td>
<td valign="top" align="center">&#x2193;</td>
<td valign="top" align="center">&#x2191;</td>
<td valign="top" align="center">&#x2193;</td>
<td valign="top" align="center">&#x2194;</td>
<td valign="top" align="center">&#x2194;</td>
<td valign="top" align="center">&#x2193;</td>
<td valign="top" align="center"><xref ref-type="bibr" rid="B84">Spencer et al., 2015</xref>; <xref ref-type="bibr" rid="B82">Smith et al., 2017</xref>; <xref ref-type="bibr" rid="B42">Kemmerer et al., 2020</xref></td>
</tr>
<tr>
<td valign="top" align="left">Glatiramer acetate</td>
<td valign="top" align="left">Inhibits the T cell response to several myelin antigens</td>
<td valign="top" align="center">&#x2194;</td>
<td valign="top" align="center">(&#x2193;)</td>
<td valign="top" align="center">&#x2194;</td>
<td valign="top" align="center">(&#x2191;)</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">NC</td>
<td valign="top" align="center">NC</td>
<td valign="top" align="center"><xref ref-type="bibr" rid="B42">Kemmerer et al., 2020</xref></td>
</tr>
<tr>
<td valign="top" align="left">Rituximab</td>
<td valign="top" align="left">Monoclonal antibody against CD20</td>
<td valign="top" align="center">&#x2193;</td>
<td valign="top" align="center">&#x2193;</td>
<td valign="top" align="center">&#x2193;</td>
<td valign="top" align="center">&#x2193;</td>
<td valign="top" align="center">&#x2191;</td>
<td valign="top" align="center">&#x2193;</td>
<td valign="top" align="center">&#x2191;</td>
<td valign="top" align="center"><xref ref-type="bibr" rid="B71">Quan et al., 2015</xref>; <xref ref-type="bibr" rid="B72">Ramwadhdoebe et al., 2019</xref></td>
</tr>
<tr>
<td valign="top" align="left">Ofatumumab</td>
<td valign="top" align="left">Monoclonal antibody against CD20</td>
<td valign="top" align="center">&#x2193;</td>
<td valign="top" align="center">&#x2193;</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">&#x2013;</td>
<td valign="top" align="center"><xref ref-type="bibr" rid="B6">Bar-Or et al., 2022</xref></td>
</tr>
<tr>
<td valign="top" align="left">Inebilizumab</td>
<td valign="top" align="left">Monoclonal antibody against CD19</td>
<td valign="top" align="center">&#x2193;</td>
<td valign="top" align="center">&#x2193;</td>
<td valign="top" align="center">&#x2193;</td>
<td valign="top" align="center">&#x2193;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2193;</td>
<td valign="top" align="center">&#x2193;</td>
<td valign="top" align="center"><xref ref-type="bibr" rid="B1">Agius et al., 2019</xref></td>
</tr>
<tr>
<td valign="top" align="left">Tocilizumab</td>
<td valign="top" align="left">Monoclonal antibody against interleukin-6 receptor</td>
<td valign="top" align="center">&#x2194;</td>
<td valign="top" align="center">&#x2194;</td>
<td valign="top" align="center">&#x2191;</td>
<td valign="top" align="center">&#x2193;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2193;</td>
<td valign="top" align="center">&#x2193;</td>
<td valign="top" align="center"><xref ref-type="bibr" rid="B57">Liu et al., 2021</xref></td>
</tr>
<tr>
<td valign="top" align="left">Eculizumab<xref ref-type="table-fn" rid="t1fns1">&#x002A;</xref></td>
<td valign="top" align="left">Monoclonal antibody against complement C5</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">&#x2193;</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"><xref ref-type="bibr" rid="B54">Li et al., 2021b</xref></td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="t1fns1"><p>NC: no clear changes. The arrows in parenthesis mean a slight change. DN, double negative; Bregs, regulatory B cells. The (-) means no data found. &#x002A;In patients with myasthenia gravis.</p></fn>
</table-wrap-foot>
</table-wrap>
<table-wrap position="float" id="T2">
<label>TABLE 2</label>
<caption><p>Overview of B cell surface makers.</p></caption>
<table cellspacing="5" cellpadding="5" frame="box" rules="all">
<thead>
<tr>
<td valign="top" align="left" style="color:#ffffff;background-color: #7f8080;"></td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;">Transitional B cells/Regulatory B cells</td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;">Na&#x00EF;ve B cells</td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;">Memory B cells</td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;">Plasmablasts</td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;">DN B cells</td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">IgD</td>
<td valign="top" align="center" style="background-color: #5b9ad1;">+</td>
<td valign="top" align="center" style="background-color: #5b9ad1;">+</td>
<td valign="top" align="center" style="background-color: #f4f4f4;">&#x2212;</td>
<td valign="top" align="center" style="background-color: #f4f4f4;">&#x2212;</td>
<td valign="top" align="center" style="background-color: #f4f4f4;">&#x2212;</td>
</tr>
<tr>
<td valign="top" align="left">CD 19</td>
<td valign="top" align="center" style="background-color: #5b9ad1;">+</td>
<td valign="top" align="center" style="background-color: #5b9ad1;">+</td>
<td valign="top" align="center" style="background-color: #5b9ad1;">+</td>
<td valign="top" align="center" style="background-color: #5b9ad1;">+</td>
<td valign="top" align="center" style="background-color: #5b9ad1;">+</td>
</tr>
<tr>
<td valign="top" align="left">CD 20</td>
<td valign="top" align="center" style="background-color: #5b9ad1;">+</td>
<td valign="top" align="center" style="background-color: #5b9ad1;">+</td>
<td valign="top" align="center" style="background-color: #5b9ad1;">+</td>
<td valign="top" align="center" style="background-color: #9dc1e3;">Low</td>
<td valign="top" align="center" style="background-color: #9dc1e3;">Low</td>
</tr>
<tr>
<td valign="top" align="left">CD 27</td>
<td valign="top" align="center" style="background-color: #f4f4f4;">&#x2212;</td>
<td valign="top" align="center" style="background-color: #f4f4f4;">&#x2212;</td>
<td valign="top" align="center" style="background-color: #5b9ad1;">+</td>
<td valign="top" align="center" style="background-color: #5b9ad1;">+</td>
<td valign="top" align="center">&#x2212;</td>
</tr>
<tr>
<td valign="top" align="left">CD 38</td>
<td valign="top" align="center" style="background-color: #5b9ad1;">+</td>
<td valign="top" align="center" style="background-color: #9dc1e3;">Low</td>
<td valign="top" align="center" style="background-color: #f4f4f4;">&#x2212;</td>
<td valign="top" align="center" style="background-color: #5b9ad1;">High</td>
<td valign="top" align="center" style="background-color: #9dc1e3;">Low</td>
</tr>
<tr>
<td valign="top" align="left">CD 5</td>
<td valign="top" align="center" style="background-color: #5b9ad1;">+</td>
<td valign="top" align="center" style="background-color: #f4f4f4;">&#x2212;</td>
<td valign="top" align="center" style="background-color: #f4f4f4;">&#x2212;</td>
<td valign="top" align="center">/</td>
<td valign="top" align="center">/</td>
</tr>
<tr>
<td valign="top" align="left">CD 9</td>
<td valign="top" align="center" style="background-color: #5b9ad1;">+</td>
<td valign="top" align="center">/</td>
<td valign="top" align="center">/</td>
<td valign="top" align="center">/</td>
<td valign="top" align="center">/</td>
</tr>
<tr>
<td valign="top" align="left">CD 24</td>
<td valign="top" align="center" style="background-color: #5b9ad1;">+</td>
<td valign="top" align="center" style="background-color: #9dc1e3;">Low</td>
<td valign="top" align="center" style="background-color: #9dc1e3;">Low</td>
<td valign="top" align="center">/</td>
<td valign="top" align="center">/</td>
</tr>
<tr>
<td valign="top" align="left">CXCR5</td>
<td valign="top" align="center">/</td>
<td valign="top" align="center" style="background-color: #5b9ad1;">+</td>
<td valign="top" align="center" style="background-color: #5b9ad1;">+</td>
<td valign="top" align="center" style="background-color: #5b9ad1;">+</td>
<td valign="top" align="center" style="background-color: #5b9ad1;">&#x00B1;</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn><p>IgD, immunoglobulin D; CD, cluster of differentiation; DN, double negative. &#x201C;/&#x201D; means unknown data.</p></fn>
</table-wrap-foot>
</table-wrap>
<sec id="S1.SS1">
<title>B cell subsets and development</title>
<p>B cells undergo several stages of maturation during adaptive immune responses. Shortly summarized, B cells are generated in the bone marrow (pre/pro B cells) and then released into the peripheral blood (<xref ref-type="bibr" rid="B19">Cyster and Allen, 2019</xref>). Na&#x00EF;ve B cells (antigen inexperienced) then migrate from the peripheral blood to secondary lymphoid tissues such as the spleen or lymph nodes, where they undergo further differentiation in germinal center reactions (<xref ref-type="bibr" rid="B48">Kurosaki et al., 2015</xref>; <xref ref-type="bibr" rid="B19">Cyster and Allen, 2019</xref>). Once bound to an antigen, B cells undergo a series of receptor and Ig subclass expression changes with co-stimulatory signaling by, e.g., T cell help. After this differentiation process, different subsets of antigen-experienced B cells emerge: memory B cells and plasmablasts. When memory B cells reencounter specific antigens, they undergo expansion and differentiate into plasmablasts mostly in the germinal centers (<xref ref-type="bibr" rid="B48">Kurosaki et al., 2015</xref>). Plasmablasts develop subsequently in either short-lived plasma cells or long-lived plasma cells which can maintain antibody production for decades without antigen re-stimulation (<xref ref-type="bibr" rid="B56">Lightman et al., 2019</xref>).</p>
<p>In contrast, another heterogeneous B cell group has the ability to suppress immune responses and are named regulatory B cells as a functionally defined population (<xref ref-type="bibr" rid="B12">Catal&#x00E1;n et al., 2021</xref>). A definitive set of phenotypic markers are still lacking (<xref ref-type="bibr" rid="B12">Catal&#x00E1;n et al., 2021</xref>). IL-10, IL-35, and TGF-beta secretion, the cell surface proteins CD1d and PD-L1 characterize the anti-inflammatory properties of this cell group (<xref ref-type="bibr" rid="B12">Catal&#x00E1;n et al., 2021</xref>). Immature transitional B cells, divided into T1, T2, and T3 subpopulations are an intermediate stage between immature cells from the bone marrow and mature cells in the periphery (<xref ref-type="bibr" rid="B12">Catal&#x00E1;n et al., 2021</xref>). T1 and T2 subtypes constitute a significant source of functional regulatory B cells (<xref ref-type="bibr" rid="B101">Zhou et al., 2020</xref>; <xref ref-type="bibr" rid="B12">Catal&#x00E1;n et al., 2021</xref>). Autoimmune diseases are prone to have a lower frequency of regulatory B cells (<xref ref-type="bibr" rid="B101">Zhou et al., 2020</xref>).</p>
<p>Double negative (DN) B cells constitute another B cell population that lacks expression of immunoglobulin D and CD27 surface markers and has shown to be associated with autoimmune diseases (<xref ref-type="bibr" rid="B79">Sanz et al., 2019</xref>; <xref ref-type="bibr" rid="B78">Ruschil et al., 2021</xref>). The class-switched IgD- phenotype may indicate an antigen-specific maturation. Some author suggests that in the absence of CD27, a transition from a naive B cell seems unlikely (<xref ref-type="bibr" rid="B53">Li et al., 2021a</xref>). However, transcriptome analysis points toward a continuum of naive B-cells, memory B cells and plasmablasts (<xref ref-type="bibr" rid="B77">Ruschil et al., 2020</xref>), although the exact origin and maturation pathway of DN B cells is still unclear. <xref ref-type="bibr" rid="B38">Jenks et al. (2018)</xref> found two subgroups of DN B cells mainly based on the expression of the follicular marker CXCR5 (DN1: CXCL5 + and DN2: CXCL5- subtype), which is involved in the migration of B cells into B-cell follicles. CXCL5 + DN B cells are mostly expanded in elderly healthy individuals, while CXCL5- DN B cells were markedly found in active systemic lupus erythematosus (SLE), a defined autoantibody associated disease. In SLE, it has been further shown that the CXCL5- DN B cell subset develops from an activated na&#x00EF;ve B cell pool. The lack of CXCR5 point toward an extrafollicular maturation pathway (<xref ref-type="bibr" rid="B92">Tipton et al., 2015</xref>; <xref ref-type="bibr" rid="B38">Jenks et al., 2018</xref>; <xref ref-type="bibr" rid="B79">Sanz et al., 2019</xref>). Compelling evidence suggests that CXCL5- DN B cell subset represents a primed precursor population for antibody-secreting cells (<xref ref-type="bibr" rid="B38">Jenks et al., 2018</xref>; <xref ref-type="bibr" rid="B79">Sanz et al., 2019</xref>). Although our studies didn&#x2019;t differentiate these two DN B cell subpopulations, we have also shown that DN B cells are as well up-regulated in various auto-inflammatory neurological diseases including myasthenia gravis, Guillain-Barre&#x00EC; syndrome and NMOSD but not consistently in MS (<xref ref-type="bibr" rid="B77">Ruschil et al., 2020</xref>). We and others could show that this population most likely represents a transient precursor B cell population undergoing differentiation into antibody-secreting cells (<xref ref-type="bibr" rid="B77">Ruschil et al., 2020</xref>). Along these lines, we could show that the proportion of peripheral DN B cells is increased after vaccination and DN B cell-derived recombinant antibodies showed binding of specific vaccines, providing indirect evidence of their antibody secretion capacity (<xref ref-type="bibr" rid="B77">Ruschil et al., 2020</xref>).</p>
</sec>
<sec id="S1.SS2">
<title>Pathophysiological roles of B cells in autoimmunity</title>
<p>The development of auto-reactive properties of B cells in autoimmune diseases remains a topic of great debate. While molecular mimicry is a recognized mechanism that can mislead B cells toward self-antigens, impaired self-tolerance during B cell development also contributes to auto-reactivity. The initial B cell repertoire generated by random V(D)J recombination undergoes a bimodal removal of autoreactive clones due to exposure to self-antigens (<xref ref-type="bibr" rid="B61">Meffre and O&#x2019;Connor, 2019</xref>). This exposure occurs initially in the bone marrow, the site of B cell generation, and later in the periphery when B cells encounter a new set of self-antigens, resulting in the removal of autoreactive clones (<xref ref-type="bibr" rid="B27">Goodnow, 1996</xref>; <xref ref-type="bibr" rid="B97">Wardemann et al., 2003</xref>; <xref ref-type="bibr" rid="B61">Meffre and O&#x2019;Connor, 2019</xref>). Distinct mouse models have shown that developing self-reacting B cells can be silenced through the following mechanisms: (1) clonal deletion; (2) clonal unresponsiveness to antigen or anergy; and (3) &#x201C;receptor editing&#x201D; or antigen receptor gene replacement by continued V(D)J recombination (<xref ref-type="bibr" rid="B60">Meffre, 2011</xref>; <xref ref-type="bibr" rid="B87">Stoehr et al., 2011</xref>; <xref ref-type="bibr" rid="B61">Meffre and O&#x2019;Connor, 2019</xref>). Several lines of evidence suggest that central tolerance is likely dysregulated in NMOSD (<xref ref-type="bibr" rid="B16">Cotzomi et al., 2019</xref>; <xref ref-type="bibr" rid="B61">Meffre and O&#x2019;Connor, 2019</xref>). The identification of pathogenic anti-AQP4 clones, which originate from unmutated autoreactive naive B cells in patients with NMOSD, is in potential agreement with this scenario (<xref ref-type="bibr" rid="B61">Meffre and O&#x2019;Connor, 2019</xref>). In contrast, MS patients exhibit distinct B cell tolerance patterns compared to other autoimmune diseases. Here, an impaired peripheral B cell tolerance checkpoint is believed to be the main culprit, leading to the peripheral buildup of polyreactive mature na&#x00EF;ve B cells, as shown by <xref ref-type="bibr" rid="B44">Kinnunen et al. (2013)</xref>. Consistent with this assumption, regulatory T cells (Tregs) in MS patients seem to exhibit impaired suppressive activity and abnormally secrete interferon gamma (IFN&#x03B3;) (<xref ref-type="bibr" rid="B21">Dominguez-Villar et al., 2011</xref>).</p>
<p>Molecular mimicry arises when peptides from pathogens display structural similarities with self-antigens. The presence of diverse pathogens, with each having its own potential unique molecular mimic to a CNS antigen, may elucidate why researchers have struggled to link a specific virus to, e.g., multiple sclerosis (<xref ref-type="bibr" rid="B55">Libbey and Fujinami, 2014</xref>). However, Epstein-Barr virus (EBV) has been identified as a potential viral agent that may trigger the production of autoreactive antibodies targeting GlialCam (<xref ref-type="bibr" rid="B50">Lanz et al., 2022</xref>). Nonetheless, more extensive evaluation of these findings is required. To the best of our knowledge, there is presently no conclusive evidence of established pathogens incorporating molecular mimicry mechanisms in NMOSD.</p>
<p>Regarding other mechanisms of B cell-mediated autoimmunity, B cells contribute to the development of diabetes through recognition of self-antigens with autoreactive antibodies and presentation of self-antigens via MHC class II molecules to T cells (<xref ref-type="bibr" rid="B81">Serreze et al., 1996</xref>). These findings indicate that self-antigen presentation by autoreactive B cells, which evade tolerance, could be the catalyst for the onset of autoimmune disorders. In multiple sclerosis, HLA class II alleles of the DR2 haplotype, DRB1&#x002A;1501, DRB5&#x002A;0101, and DQB1&#x002A;0602, are well established genetic risk factors for MS and show a functional redundancy in Ag presentation (<xref ref-type="bibr" rid="B83">Sospedra and Martin, 2006</xref>). Thus, B cells serving as antigen presenting cells may shape an autoreactive T cell repertoire by presenting autoantigens by DR2 HLA-DR molecules (<xref ref-type="bibr" rid="B96">Wang et al., 2020</xref>).</p>
<p>Finally, altered cytokine levels that may result from a misdirected B cell activation can provide a pathogenic milieu for autoimmunity. Shortly summarized, serum IL-6 concentrations are significantly elevated in patients with NMOSD and are higher than in healthy individuals and patients with MS (<xref ref-type="bibr" rid="B26">Fujihara et al., 2020</xref>). Serum cytokine levels in MS do not show a clear proinflammatory profile, and several cytokines have even been shown to be downregulated (<xref ref-type="bibr" rid="B52">Lepennetier et al., 2019</xref>; <xref ref-type="bibr" rid="B62">Melamud et al., 2022</xref>). Within the CSF compartment, IL6 is also upregulated in NMOSD patients while CXCL13 seems to be a consistently up-regulated B cell-associated cytokine in MS (<xref ref-type="bibr" rid="B83">Sospedra and Martin, 2006</xref>). However, B cells are also able to secrete anti-inflammatory cytokines such as IL10 which is also upregulated in the CSF of NMOSD patients (<xref ref-type="bibr" rid="B39">Kaneko et al., 2018</xref>).</p>
</sec>
</sec>
<sec id="S2">
<title>B cells in multiple sclerosis</title>
<sec id="S2.SS1">
<title>Evidence for an important role of B cells in MS</title>
<p>With the discovery of oligoclonal bands in the cerebrospinal fluid (CSF) of patients with MS, evidence pointed toward a pathophysiological role of B cells with potentially disease-driving antibodies in the CSF (<xref ref-type="bibr" rid="B20">DiSano et al., 2021</xref>). In MS, the majority of B cells in CSF are antigen-experienced B cells (<xref ref-type="bibr" rid="B29">Harp et al., 2007</xref>; <xref ref-type="bibr" rid="B22">Eggers et al., 2017</xref>), and the frequency of memory B cells is increased in CSF compared to peripheral blood (<xref ref-type="bibr" rid="B22">Eggers et al., 2017</xref>). In addition, B cell infiltration has been found within the brain parenchyma (<xref ref-type="bibr" rid="B58">Machado-Santos et al., 2018</xref>) and also in leptomeningeal aggregates, which are strongly associated with cortical lesions (<xref ref-type="bibr" rid="B24">Fraussen et al., 2014</xref>; <xref ref-type="bibr" rid="B59">Martin et al., 2016</xref>; <xref ref-type="bibr" rid="B36">Jain and Yong, 2022</xref>). Although Th1/Th17 T cells have at times attracted attention as potential therapeutic targets due to their important role in EAE models, specific CD4, Th1/Th17 immunotherapies have largely failed to show a clear impact on MS relapses (<xref ref-type="bibr" rid="B5">Baker et al., 2017c</xref>). In contrast, the high efficacy of B cell depletion in multiple sclerosis, first demonstrated for the CD20-specific B cell depleting agent rituximab (<xref ref-type="bibr" rid="B33">Hauser et al., 2008</xref>), was surprising and again highlighted the role of B cells. Subsequent clinical trials with ocrelizumab (<xref ref-type="bibr" rid="B31">Hauser et al., 2017</xref>; <xref ref-type="bibr" rid="B95">Vermersch et al., 2022</xref>), ofatumumab (<xref ref-type="bibr" rid="B30">Hauser et al., 2020</xref>), and ublituximab (<xref ref-type="bibr" rid="B85">Steinman et al., 2022</xref>) provide further evidence for the efficacy of (CD20) B cell depletion not only in relapsing but also in primary progressive multiple sclerosis (<xref ref-type="bibr" rid="B41">Kappos et al., 2011</xref>; <xref ref-type="bibr" rid="B31">Hauser et al., 2017</xref>).</p>
</sec>
<sec id="S2.SS2">
<title>Possible roles of B cells during MS pathophysiology</title>
<p>The exact role of B cells in the pathophysiology of MS remains controversial. Epstein-Barr virus (EBV) infections have recently been strongly associated with multiple sclerosis, with 97% of patients in a large cohort showing positive EBV serum titers or seroconversion prior to the development of multiple sclerosis (<xref ref-type="bibr" rid="B8">Bjornevik et al., 2022</xref>). In addition, another study suggested molecular mimicry between EBNA1&#x2013;a prominent EBV antigen&#x2013;and GlialCAM (glial cell adhesion molecule), suggesting a direct role of pathogenic antibodies in MS (<xref ref-type="bibr" rid="B50">Lanz et al., 2022</xref>). However, only a limited number of antibodies reacted against both targets, so further confirmation seems necessary. Other potentially interesting targets for MS antibodies that have been proposed in recent years are chloride-channel protein Anoctamin 2 (ANO2) (<xref ref-type="bibr" rid="B90">Tengvall et al., 2019</xref>), which is a transmembrane protein for modulation for neural-excitability; alpha-crystallin B (CRYAB), which is expressed by oligodendrocytes and may have a protective effect by down-regulating the innate immune system (<xref ref-type="bibr" rid="B91">Thomas et al., 2023</xref>). Another group recently found antibodies against conformational membrane complexes containing the myelin proteolipid protein 1 (PLP1) (<xref ref-type="bibr" rid="B67">Owens et al., 2023</xref>). In addition to these recently described targets, a large number of autoantibodies have been described against various CNS cell types, including neurons, oligodendrocytes and astrocytes, and even immune cells (<xref ref-type="bibr" rid="B24">Fraussen et al., 2014</xref>). Although some of these possible antigen-antibody interactions seem to point toward an antibody-driven role of B cells in multiple sclerosis, multiple antigens could not be confirmed in further analyses, and one or a subset of clear antibody targets such as AQP4 in NMOSD have not yet been identified. An alternative function of B cells could be centered around antigen presentation and T cell stimulation. Our group (<xref ref-type="bibr" rid="B46">Kowarik et al., 2021</xref>) and other studies (<xref ref-type="bibr" rid="B86">Stern et al., 2014</xref>; <xref ref-type="bibr" rid="B78">Ruschil et al., 2021</xref>) have demonstrated that B cells not only traverse the blood-brain barrier but also recirculate in the peripheral blood through cervical lymph node drainage (<xref ref-type="fig" rid="F1">Figure 1</xref>.). B cells, potentially primed against antigens in the CNS compartment during relapse, could thus possess the capacity to re-enter germinal centers in the periphery and perpetuate autoimmune circuits (<xref ref-type="bibr" rid="B78">Ruschil et al., 2021</xref>). Altogether, it remains unclear whether B cells predominantly produce autoantibodies against specific targets or act as antigen-presenting cells that circulate between the CNS and peripheral compartments; however, the diversity and inconsistency of suggested antigen targets might point toward a substantial antigen-presenting role.</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption><p>Differential roles of B cells in multiple sclerosis (MS) and neuromyelitis optica spectrum disorder (NMOSD). In MS, B cells have been shown to enter the CNS compartment (via integrin activation) but also recirculate into the periphery by drainage into cervical lymph nodes. B cells show an increased proportion in the CSF, are found in lesions and follicular-like structures at the meninges, and are the source of oligoclonal IgG bands in the CSF of MS patients. Although several interesting antigens have been proposed as potential B cell targets, no clear target or a subset of targets have yet been identified. In addition to antibody secretion, a major function of B cells may be presentation of CNS antigens and stimulation of, e.g., T cells once they have re-entered germinal centers in the periphery. These mechanisms could perpetuate autoimmune cycles leading to recurrent relapses. Memory B cells seem to be of particular interest in this context, although this hypothesis requires further evaluation. In NMOSD, aquaporin-4-specific antibodies are produced in the periphery and target astrocytic end feet, leading to CNS inflammation and breakdown of the blood-brain barrier. During relapses, AQP4-specific B cells are also found in the CSF and may further enhance antibody-mediated, complement-dependent inflammation. Double negative B cells may represent a transient precursor B cell population that differentiates into AQP4-specific antibody-secreting cells through extrafollicular maturation pathways. M: Memory B cells, DN: double negative B cells, OCB: Oligoclonal bands, RBC: red blood cell.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fncel-18-1337339-g001.tif"/>
</fig>
</sec>
<sec id="S2.SS3">
<title>Peripheral B cells and treatment-specific effects on B cell subsets in MS: consistent effects on memory B cells</title>
<p>Peripheral blood B cell subsets including total B cell numbers, na&#x00EF;ve, memory B cells, double negative B cells and plasmablasts during stable disease do not show significant differences when compared to healthy controls (<xref ref-type="bibr" rid="B42">Kemmerer et al., 2020</xref>; <xref ref-type="bibr" rid="B77">Ruschil et al., 2020</xref>). The prevalence of transitional/regulatory B cells is often low (<xref ref-type="bibr" rid="B101">Zhou et al., 2020</xref>) while DN B cells did not show a consistent up-regulation in MS (<xref ref-type="bibr" rid="B25">Fraussen et al., 2019</xref>; <xref ref-type="bibr" rid="B77">Ruschil et al., 2020</xref>). Besides the broad depletion of circulating B cells by anti-CD20 antibodies such as rituximab, ocrelizumab and ublituximab, several MS treatments have shown to also exert profound effects on peripheral B cells and cerebrospinal fluid (<xref ref-type="table" rid="T1">Tables 1</xref>, <xref ref-type="table" rid="T3">3</xref>). The absolute number of B cells in MS treatments has been shown to be slightly reduced during dimethyl fumarate, fingolimod, and siponimod treatment, unchanged during glatiramer acetate and interferon beta treatment and increased during natalizumab treatment (<xref ref-type="bibr" rid="B42">Kemmerer et al., 2020</xref>; <xref ref-type="bibr" rid="B94">Traub et al., 2020</xref>). Natalizumab is a monoclonal antibody against the cell adhesion molecule &#x03B1;4-integrin, which is highly expressed in B-cells (<xref ref-type="bibr" rid="B80">Saraste et al., 2016</xref>). The increase in peripheral B cell number during natalizumab most likely relies on the egress of memory B cells from the marginal sinus of the spleen through the blockade of integrins by which memory B cells attach to the sinus (<xref ref-type="bibr" rid="B46">Kowarik et al., 2021</xref>). However, these cells are also impaired in their ability to cross the blood-brain-barrier so that natalizumab treatment has to be considered separately (<xref ref-type="bibr" rid="B46">Kowarik et al., 2021</xref>). Further differential flow cytometric analyses showed, that in most treatments, the fraction of na&#x00EF;ve B cells is increased, while the percentage of memory B cells is significantly decreased (<xref ref-type="bibr" rid="B42">Kemmerer et al., 2020</xref>; <xref ref-type="bibr" rid="B94">Traub et al., 2020</xref>). Regulatory B cells show consistently elevated percentages during most treatments while DN B cells show unchanged percentages or an elevated proportion during fingolimod therapy (<xref ref-type="bibr" rid="B42">Kemmerer et al., 2020</xref>). Plasmablast percentages show different patterns or are unchanged during treatment with cladribine, interferon beta, dimethyl fumarate or glatiramer acetate. Further analyses by B cell repertoire mass sequencing or whole transcriptome analysis underlined that memory B cells are significantly affected during cladribine treatment (<xref ref-type="bibr" rid="B13">Ceronie et al., 2018</xref>; <xref ref-type="bibr" rid="B74">Rolfes et al., 2022</xref>; <xref ref-type="bibr" rid="B76">Ruschil et al., 2023</xref>) and also alemtuzumab treatment (<xref ref-type="bibr" rid="B75">Ruck et al., 2022</xref>). Data regarding changes in CSF immune cell subsets are limited and differences are difficult to assess due to the overall low number of immune cells. However, treatment with dimethyl fumarate, natalizumab, rituximab, ocrelizumab, and alemtuzumab resulted in reduced CSF B cell counts, whereas fingolimod did not alter the proportion of CSF B cells (<xref ref-type="table" rid="T3">Table 3</xref>). Plasmablasts were reduced during treatment with dimethyl fumarate, natalizumab and fingolimod (<xref ref-type="table" rid="T3">Table 3</xref>).</p>
<table-wrap position="float" id="T3">
<label>TABLE 3</label>
<caption><p>B cell subsets changes in the cerebrospinal fluid (CSF) under various treatments.</p></caption>
<table cellspacing="5" cellpadding="5" frame="box" rules="all">
<thead>
<tr>
<td valign="top" align="left" style="color:#ffffff;background-color: #7f8080;"></td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;">Total B cells</td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;">% Naive B cells</td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;">% Bmem</td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;">% Plasmablast</td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;">% DN</td>
<td valign="top" align="left" style="color:#ffffff;background-color: #7f8080;">References</td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Dimethyl fumarate</td>
<td valign="top" align="center">&#x2193;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2194;</td>
<td valign="top" align="center">&#x2193;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B34">H&#x00F8;glund et al., 2018</xref></td>
</tr>
<tr>
<td valign="top" align="left">Fingolimod</td>
<td valign="top" align="center">&#x2194;</td>
<td valign="top" align="center">(&#x2191;)</td>
<td valign="top" align="center">&#x2194;</td>
<td valign="top" align="center">(&#x2193;)</td>
<td valign="top" align="center">&#x2194;</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B46">Kowarik et al., 2021</xref></td>
</tr>
<tr>
<td valign="top" align="left">Natalizumab</td>
<td valign="top" align="center">&#x2193;</td>
<td valign="top" align="center">&#x2194;</td>
<td valign="top" align="center">&#x2193;</td>
<td valign="top" align="center">&#x2193;</td>
<td valign="top" align="center">&#x2194;</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B88">St&#x00FC;ve et al., 2006</xref>; <xref ref-type="bibr" rid="B98">Warnke et al., 2015</xref>; <xref ref-type="bibr" rid="B46">Kowarik et al., 2021</xref></td>
</tr>
<tr>
<td valign="top" align="left">Ocrelizumab</td>
<td valign="top" align="center">&#x2193;</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="left"><xref ref-type="bibr" rid="B17">Cross et al., 2019</xref></td>
</tr>
<tr>
<td valign="top" align="left">Rituximab</td>
<td valign="top" align="center">&#x2193;</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="left"><xref ref-type="bibr" rid="B63">Monson et al., 2005</xref>; <xref ref-type="bibr" rid="B18">Cross et al., 2006</xref></td>
</tr>
<tr>
<td valign="top" align="left">Alemtuzumab</td>
<td valign="top" align="center">&#x2193;</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="left"><xref ref-type="bibr" rid="B65">M&#x00FC;ller-Miny et al., 2023</xref></td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn><p>The arrows in parenthesis mean a slight change. DN, double negative.</p></fn>
</table-wrap-foot>
</table-wrap>
<p>In contrast to these approved treatments, other drugs that also affect B cells have been shown to be ineffective or even worsen MS. For example, atacicept was stopped in the ATAMS trial because of a pronounced conversion to MS in patients with optic neuritis. Although the exact mechanisms regarding B cells was not elucidated in the study, an increase in IL15 provided some evidence suggesting stimulation of memory B cells as a possible explanation for the clinical outcomes observed in the study (<xref ref-type="bibr" rid="B40">Kappos et al., 2014</xref>). In addition, the use of anti-TNF blockers such as infliximab, which can stimulate memory B cell activity, has been associated with an increased incidence of MS in patients with chronic disease (<xref ref-type="bibr" rid="B2">Avasarala et al., 2021</xref>). Regarding B cell depleting treatments, it is important to note that regulatory B cells may also be depleted, but this does not seem to drastically limit the therapeutic potential.</p>
<p>Interestingly, numerous MS treatments influence T cell function and T cell subset distribution (<xref ref-type="bibr" rid="B59">Martin et al., 2016</xref>), however, a direct effect on B cell populations seems to have an even more relevant effect on the disease course. The consistent effect of MS treatments on the memory B cell subset could further underpin this assumption due to their frequent occurrence in the CSF and their ability to recirculate into the periphery and to repeatedly participate in germinal center reactions. Of note, memory B cells are the primary site of persistent latent EBV infection which could partially explain the association between EBV infections and multiple sclerosis (<xref ref-type="bibr" rid="B93">Tracy et al., 2012</xref>).</p>
</sec>
</sec>
<sec id="S3">
<title>B cells in neuromyelitis optica spectrum disorder</title>
<sec id="S3.SS1">
<title>Anti-AQP4 antibody-secreting B cells as the major driver of NMOSD pathophysiology</title>
<p>Neuromyelitis optica spectrum disorder has been recognized as a separate disease entity with the discovery of autoantibodies against the water-channel aquaporin-4 (AQP4-AB) (<xref ref-type="bibr" rid="B51">Lennon et al., 2004</xref>). It could be clearly demonstrated that AQP4-AB bind to AQP4 channels on astrocytes triggering an activation of the complement cascade, with granulocyte, eosinophil, and lymphocyte infiltration, resulting in astrocyte damage. As a secondary event, oligodendrocyte injury leads to demyelination and neuronal loss (<xref ref-type="bibr" rid="B11">Carnero Contentti and Correale, 2021</xref>). Lineage analysis of AQP4- specific B cells from the peripheral blood and CSF B cells of NMOSD patients showed a clonal relationship with memory B cells, plasmablasts and DN B cells in the periphery during active disease. Immunoglobulin transcriptome analysis further indicated that expanded DN B cells undergo antigen-specific B cell maturation and are closely linked to AQP4-specific CSF B cells (<xref ref-type="bibr" rid="B45">Kowarik et al., 2017</xref>). Although it is believed that mis-priming and/or escape from tolerance mechanisms of peripheral B cells and the peripheral secretion of AQP4-AB might initiate NMOSD disease pathology, AQP-4 specific CSF plasmablasts have been shown to originate from peripheral B cells and intrathecally secrete AQP4-AB during active disease and thus might contribute to disease exacerbation (<xref ref-type="bibr" rid="B47">Kowarik et al., 2015</xref>).</p>
</sec>
<sec id="S3.SS2">
<title>Double negative B cells in NMOSD&#x2014;Link to rheumatic diseases</title>
<p>Besides the peripheral up-regulation and association of DN B cells and AQP4-reactive CSF plasmablasts in active NMOSD, DN B cells have received increasing attention in recent years, especially in SLE, where they have been found to be a marker of disease severity (<xref ref-type="bibr" rid="B38">Jenks et al., 2018</xref>; <xref ref-type="bibr" rid="B89">Szelinski et al., 2022</xref>). DN B cells are also elevated in the elderly, in infections and in other autoimmune diseases such as rheumatoid arthritis, Guillain-Barre syndrome and myasthenia gravis (<xref ref-type="bibr" rid="B25">Fraussen et al., 2019</xref>). DN B cells (CXCR5-) are extensively expanded in antibody-mediated autoimmune diseases such as SLE, where a worse disease course is correlated with an inflated population of DN B cells (CXCR5-), which are thought to represent plasmablasts precursors (<xref ref-type="bibr" rid="B38">Jenks et al., 2018</xref>; <xref ref-type="bibr" rid="B89">Szelinski et al., 2022</xref>). When co-cultured with Th cells, DN B cells have the capacity to differentiate into antibody-secreting cells (<xref ref-type="bibr" rid="B37">Janssen et al., 2020</xref>; <xref ref-type="bibr" rid="B35">Hoshino et al., 2022</xref>). Conversely, most of DN B cells in MS are not CXCR5-, indicating a different mechanism from that observed in NMOSD and SLE (<xref ref-type="bibr" rid="B53">Li et al., 2021a</xref>).</p>
</sec>
<sec id="S3.SS3">
<title>Peripheral B cells and treatment: specific effects on B cell subsets in NMOSD</title>
<p>In the peripheral blood, plasmablasts (CD19intCD27highCD38highCD180-) have been shown to be up-regulated in NMOSD and secrete AQP4-AB following IL6 stimulation (<xref ref-type="bibr" rid="B14">Chihara et al., 2013</xref>). This dysregulatory shift toward antibody-secreting cells has been reaffirmed by different studies (<xref ref-type="bibr" rid="B35">Hoshino et al., 2022</xref>). As mentioned above, peripheral DN B cells have also been shown to be upregulated in the peripheral blood of NMOSD patients (<xref ref-type="bibr" rid="B77">Ruschil et al., 2020</xref>). Regulatory B cells are significantly reduced in AQP-4 positive patients compared to MS patients, possibly due to the high IL6 secretion, which subsequently inhibits the generation of regulatory B cells (<xref ref-type="bibr" rid="B70">Quan et al., 2013</xref>).</p>
<p>Most approved therapies currently target effector B cell lineages and the direct interaction caused by antibodies. B cell depletion, including the use of rituximab as an anti-CD20 antibody, as well as inebilizumab targeting CD19, has demonstrated effectiveness in treating NMOSD (<xref ref-type="bibr" rid="B7">Barreras et al., 2022</xref>; <xref ref-type="bibr" rid="B66">Nie and Blair, 2022</xref>). As DN B cells and plasmablasts lose CD20 expression, targeting the consistently expressed CD19 marker on both cell types may result in a more profound depletion and improve treatment effects (<xref ref-type="bibr" rid="B1">Agius et al., 2019</xref>). After receiving treatment with rituximab, the presence of regulatory B cells increases (<xref ref-type="bibr" rid="B71">Quan et al., 2015</xref>). Satralizumab and tocilizumab both inhibit the IL6 receptor, disrupting lymphocyte activation (<xref ref-type="bibr" rid="B15">Chu and Huang, 2022</xref>). Tocilizumab reduces memory B cells in the peripheral B cell subset, while regulatory B cells and plasmablasts remain unaffected (<xref ref-type="bibr" rid="B94">Traub et al., 2020</xref>). Eculizumab and ravulizumab are inhibitors of complement factor 5 and disrupt the complement signaling cascade initiated by anti-AQP4 antibodies. Eculizumab reduced the percentage of memory B cells in patients with myasthenia gravis (<xref ref-type="bibr" rid="B54">Li et al., 2021b</xref>).</p>
<p>The wide development of MS medications has led to experimental usage of these therapies in NMOSD in the past when no approved medications for NMOSD were available. Several medications have failed to show positive treatment effects or even worsened NMOSD disease course in single patients or small case series. Natalizumab and fingolimod appeared to increase the proportion of DN B cells in the periphery (<xref ref-type="bibr" rid="B42">Kemmerer et al., 2020</xref>), potentially clarifying why these drugs have not been shown to be effective in treating NMOSD. Along these lines, paradoxical rebound under rituximab therapy in NMOSD patients may be explained by an increase of CD20-negative DN B cell/plasmablasts and an asynchronous B cell depletion (<xref ref-type="bibr" rid="B45">Kowarik et al., 2017</xref>). Other approved MS drugs that were not effective or even harmful when used in single NMOSD cases included alemtuzumab, dimethyl fumarate, glatiramer acetate, interferon-&#x03B2;, fingolimod and natalizumab. Analyses of peripheral B cell subsets reveals that the mentioned medications might increase the proportion of plasmablasts, as wells as B cells supporting the pathophysiology of NMOSD. Some medications also increase serum interleukin-6 levels and serum BAFF levels, which could contribute to the pro-inflammatory reaction, worsening the disease course (<xref ref-type="bibr" rid="B94">Traub et al., 2020</xref>).</p>
</sec>
</sec>
<sec id="S4" sec-type="discussion">
<title>Discussion</title>
<p>Several lines of evidence suggest that there are significant differences in the composition of peripheral B cells between MS and NMOSD. Whereas only minor changes in peripheral B cell subsets are observable in untreated MS patients, alterations and an up-regulation of DN B cells and plasmablasts are apparent in NMOSD. Although it is possible to effectively treat both diseases with B cell-depleting therapies that broadly target circulating B cells, distinct treatment effects on particular B cell subsets can be observed in both diseases. Numerous MS treatments have demonstrated effective targeting of memory B cells, suggesting a significant pathophysiological role in MS. Vice versa, this assumption is underlined by the inefficiency of therapies that potentially increase peripheral memory B cell activity. In NMOSD, efficient treatments have been shown to target the stimulation of effector B cells such as plasmablasts or deplete effector B cells including DN B cells. In this context, anti-CD19 depletion might be even more effective than anti-CD20 depletion since DN B cells and plasmablasts show a low frequency or even lack the CD20 surface marker. The ineffectiveness of several MS drugs in treating NMOSD most likely results from their failure to target effector B cells or to increase the proportion of DN B cells and plasmablasts. Based on these results the pathophysiological role of B cells has to be discussed in both diseases. While these treatment effects highlight the role of anti-AQP4 antibody-secreting B cells in NMOSD, several MS treatments have profound effects on the peripheral memory B cell subset and reduce CSF B cell numbers. The widespread inconsistency regarding clear B cell targets in MS raises the question of whether the primary pathophysiological role of B cells in MS is indeed autoantibody production. Instead, there is evidence suggesting that memory B cells can act as antigen-presenting cells (<xref ref-type="fig" rid="F1">Figure 1</xref>), possibly supporting autoimmune circuits and the activation of autoreactive T cells (<xref ref-type="bibr" rid="B64">Morbach et al., 2011</xref>; <xref ref-type="bibr" rid="B73">Rastogi et al., 2022</xref>). Since CSF B cells are able to re-circulate from the CNS to the periphery (<xref ref-type="bibr" rid="B78">Ruschil et al., 2021</xref>), subsets of peripheral memory B cells could possibly present CNS related antigens they have once encountered within the CNS (during an acute relapse). The persistence of EBV in memory B cells could possibly alter memory B cell functions and persistence (<xref ref-type="bibr" rid="B93">Tracy et al., 2012</xref>). In addition, alterations in peripheral tolerance (<xref ref-type="bibr" rid="B69">Pugliese, 2004</xref>) and the association between MS and certain HLA class II alleles of the DR2 haplotype, which might influence antigen presentation, could further substantiate this hypothesis. Although cases of onset or exacerbation of NMOSD following EBV and other pathogens have been reported, no clear association between NMOSD and a specific virus has been found (<xref ref-type="bibr" rid="B23">Frau et al., 2023</xref>); however, environmental factors cannot be ruled out. In this context, disruption of central tolerance mechanisms is likely to be a critical factor in the development of NMOSD, with poly reactive naive B cells possibly transforming into antibody-producing cells (<xref ref-type="bibr" rid="B44">Kinnunen et al., 2013</xref>). Similar to NMOSD, patients with antibodies against myelin oligodendrocyte glycoprotein (MOG) appear to share pathophysiologic mechanisms that remain to be fully elucidated (<xref ref-type="bibr" rid="B49">Lana-Peixoto and Talim, 2019</xref>). To date, no approved treatments are currently available for MOG antibody associated diseases.</p>
<p>In conclusion, this review highlights distinct differences in the pathophysiology of B cells in MS and NMOSD, as revealed by the analysis of peripheral and CSF B cell subsets in untreated patients and treatment-related effects of different drugs. Although further studies are needed to fully understand the exact triggers of autoimmunity and development of pathologic B cell subsets in both diseases, current knowledge suggests more refined treatment strategies targeting defined B cell subsets rather than deep B cell depletion. Bruton&#x2019;s tyrosine kinase inhibitors are an interesting new treatment approach targeting B cells, but their effects and exact role on B cell subsets remain to be determined. Specific targeting of memory B cells in multiple sclerosis vs. antibody-secreting B cells, including the DN B cell subsets, in NMOSD may be promising treatment strategies in the near future.</p>
</sec>
<sec id="S5" sec-type="author-contributions">
<title>Author contributions</title>
<p>MT: Conceptualization, Writing &#x2013; original draft, Writing &#x2013; review and editing, Formal Analysis, Investigation, Resources. NV: Data curation, Resources, Visualization, Writing &#x2013; review and editing. CR: Investigation, Supervision, Validation, Writing &#x2013; review and editing. MK: Conceptualization, Investigation, Methodology, Supervision, Validation, Writing &#x2013; review and editing.</p>
</sec>
</body>
<back>
<sec id="S6" sec-type="funding-information">
<title>Funding</title>
<p>The author(s) declare that no financial support was received for the research, authorship, and/or publication of this article.</p>
</sec>
<sec id="S7" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>CR was supported by fort&#x00FC;ne/PATE grant no 2536-0-0/1 by the medical faculty, University of T&#x00FC;bingen. CR has received travel grants/speaker fees by Merck, Janssen and Novartis, all not related to this work. MK has served on advisory boards and received speaker fees/travel grants from Merck, Sanofi-Genzyme, Novartis, Biogen, Janssen, Alexion, Celgene/Bristol-Myers Squibb and Roche. He has received research grants from Merck, Roche, Novartis, Sanofi-Genzyme, and Celgene/Bristol-Myers Squibb. 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="S8" 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>
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