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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Immunol.</journal-id>
<journal-title>Frontiers in Immunology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Immunol.</abbrev-journal-title>
<issn pub-type="epub">1664-3224</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fimmu.2024.1362995</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Immunology</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Dysfunctional mitochondria, disrupted levels of reactive oxygen species, and autophagy in B cells from common variable immunodeficiency patients</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Berman-Riu</surname>
<given-names>Maria</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
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</contrib>
<contrib contrib-type="author" equal-contrib="yes">
<name>
<surname>Cunill</surname>
<given-names>Vanesa</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="author-notes" rid="fn003">
<sup>&#x2020;</sup>
</xref>
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</contrib>
<contrib contrib-type="author" equal-contrib="yes">
<name>
<surname>Clemente</surname>
<given-names>Antonio</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<xref ref-type="author-notes" rid="fn003">
<sup>&#x2020;</sup>
</xref>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>L&#xf3;pez-G&#xf3;mez</surname>
<given-names>Antonio</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Pons</surname>
<given-names>Jaime</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
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<contrib contrib-type="author" corresp="yes">
<name>
<surname>Ferrer</surname>
<given-names>Joana M.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
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<aff id="aff1">
<sup>1</sup>
<institution>Department of Immunology, Son Espases University Hospital</institution>, <addr-line>Palma</addr-line>, <country>Spain</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Human Immunopathology Research Laboratory, Health Research Institute of the Balearic Islands (IdISBa)</institution>, <addr-line>Palma</addr-line>, <country>Spain</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Multidisciplinary Sepsis Group, Health Research Institute of the Balearic Islands (IdISBa)</institution>, <addr-line>Palma</addr-line>, <country>Spain</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>CIBER de Enfermedades Infecciosas (CIBERINFEC), Instituto de Salud Carlos III</institution>, <addr-line>Madrid</addr-line>, <country>Spain</country>
</aff>
<aff id="aff5">
<sup>5</sup>
<institution>CIBER de Enfermedades Respiratorias (CIBERES), Instituto de Salud Carlos III</institution>, <addr-line>Madrid</addr-line>, <country>Spain</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Colin E. Murdoch, University of Dundee, United Kingdom</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Gokhan Cildir, University of South Australia, Australia</p>
<p>Heather Merchant, University of Dundee, United Kingdom</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Maria Berman-Riu, <email xlink:href="mailto:maria.berman@ssib.es">maria.berman@ssib.es</email>; Joana M. Ferrer, <email xlink:href="mailto:juanam.ferrer@ssib.es">juanam.ferrer@ssib.es</email>
</p>
</fn>
<fn fn-type="equal" id="fn003">
<p>&#x2020;These authors have contributed equally to this work</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>26</day>
<month>03</month>
<year>2024</year>
</pub-date>
<pub-date pub-type="collection">
<year>2024</year>
</pub-date>
<volume>15</volume>
<elocation-id>1362995</elocation-id>
<history>
<date date-type="received">
<day>29</day>
<month>12</month>
<year>2023</year>
</date>
<date date-type="accepted">
<day>04</day>
<month>03</month>
<year>2024</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2024 Berman-Riu, Cunill, Clemente, L&#xf3;pez-G&#xf3;mez, Pons and Ferrer</copyright-statement>
<copyright-year>2024</copyright-year>
<copyright-holder>Berman-Riu, Cunill, Clemente, L&#xf3;pez-G&#xf3;mez, Pons and Ferrer</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<sec>
<title>Introduction</title>
<p>Common Variable Immunodeficiency (CVID) patients are characterized by hypogammaglobulinemia and poor response to vaccination due to deficient generation of memory and antibody-secreting B cells. B lymphocytes are essential for the development of humoral immune responses, and mitochondrial function, hreactive oxygen species (ROS) production and autophagy are crucial for determining B-cell fate. However, the role of those basic cell functions in the differentiation of human B cells remains poorly investigated.</p>
</sec>
<sec>
<title>Methods</title>
<p>We used flow cytometry to evaluate mitochondrial function, ROS production and autophagy processes in human na&#xef;ve and memory B-cell subpopulations in unstimulated and stimulated PBMCs cultures. We aimed to determine whether any alterations in these processes could impact B-cell fate and contribute to the lack of B-cell differentiation observed in CVID patients.</p>
</sec>
<sec>
<title>Results</title>
<p>We described that na&#xef;ve CD19<sup>+</sup>CD27<sup>-</sup> and memory CD19<sup>+</sup>CD27<sup>+</sup> B cells subpopulations from healthy controls differ in terms of their dependence on these processes for their homeostasis, and demonstrated that different stimuli exert a preferential cell type dependent effect. The evaluation of mitochondrial function, ROS production and autophagy in na&#xef;ve and memory B cells from CVID patients disclosed subpopulation specific alterations. Dysfunctional mitochondria and autophagy were more prominent in unstimulated CVID CD19<sup>+</sup>CD27<sup>-</sup> and CD19<sup>+</sup>CD27<sup>+</sup> B cells than in their healthy counterparts. Although na&#xef;ve CD19<sup>+</sup>CD27<sup>-</sup> B cells from CVID patients had higher basal ROS levels than controls, their ROS increase after stimulation was lower, suggesting a disruption in ROS homeostasis. On the other hand, memory CD19<sup>+</sup>CD27<sup>+</sup> B cells from CVID patients had both lower ROS basal levels and a diminished ROS production after stimulation with anti-B cell receptor (BCR) and IL-21.</p>
</sec>
<sec>
<title>Conclusion</title>
<p>The failure in ROS cell signalling could impair CVID na&#xef;ve B cell activation and differentiation to memory B cells. Decreased levels of ROS in CVID memory CD19<sup>+</sup>CD27<sup>+</sup> B cells, which negatively correlate with their <italic>in vitro</italic> cell death and autophagy, could be detrimental and lead to their previously demonstrated premature death. The final consequence would be the failure to generate a functional B cell compartment in CVID patients.</p>
</sec>
</abstract>
<kwd-group>
<kwd>B cells</kwd>
<kwd>CVID</kwd>
<kwd>autophagy</kwd>
<kwd>ROS</kwd>
<kwd>mitochondria</kwd>
</kwd-group>
<counts>
<fig-count count="7"/>
<table-count count="1"/>
<equation-count count="0"/>
<ref-count count="41"/>
<page-count count="13"/>
<word-count count="7046"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-in-acceptance</meta-name>
<meta-value>Molecular Innate Immunity</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<label>1</label>
<title>Introduction</title>
<p>Common Variable Immunodeficiency (CVID) is the commonest symptomatic primary humoral immunodeficiency, characterized by hypogammaglobulinemia and poor response to vaccination (<xref ref-type="bibr" rid="B1">1</xref>). Patients benefit from substitutive gammaglobulin therapy. Apart from recurrent infections, some patients present with non-infectious complications including autoimmune, autoinflammatory, and lymphoproliferative disorders requiring immunosuppressive or other treatments different from gammaglobulin (<xref ref-type="bibr" rid="B2">2</xref>&#x2013;<xref ref-type="bibr" rid="B4">4</xref>). Monogenic mutations in genes related to inborn errors of immunity (IEI) have been described in approximately 30% of the patients (<xref ref-type="bibr" rid="B5">5</xref>).</p>
<p>The common finding of abnormal late B-cell differentiation to memory and antibody-secreting cells (ASCs) found in CVID patients has provided the basis for several classifications that rely on the presence or absence of different subpopulations of memory B cells (<xref ref-type="bibr" rid="B6">6</xref>&#x2013;<xref ref-type="bibr" rid="B8">8</xref>). The generation of memory B cells and ASC is essential for the development of humoral immune responses. For this to occur, mature B lymphocytes must receive signals provided by antigens through B-cell receptor (BCR) and T-cell help. T-cell cooperation is established through direct contact between T-cell membrane molecules and their corresponding B-cell ligands or through the secretion of cytokines that stimulate receptors located on the B-cell surface. One of the most important cytokines for B-cell differentiation is IL-21. In certain circumstances, stimulation through toll-like receptor (TLR) can substitute for T-cell help, driving B-cell differentiation (<xref ref-type="bibr" rid="B9">9</xref>&#x2013;<xref ref-type="bibr" rid="B11">11</xref>). These stimuli also influence the apoptosis/survival balance that preserves B-cell homeostasis; specific requirements have been shown to be dependent on the B-cell maturation and activation status (<xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B13">13</xref>).</p>
<p>Immune cell metabolism provides energy and a source of biomolecules but also determines immune-cell fate. Mitochondrial metabolic pathways play essential roles in cell activity, differentiation, stress, and aging and are important for B-cell activation and plasma cell generation (<xref ref-type="bibr" rid="B14">14</xref>&#x2013;<xref ref-type="bibr" rid="B17">17</xref>). Oxidative stress is associated with the intracellular production of reactive oxygen species (ROS), mainly generated in the inner membrane of the mitochondria by the electron transport chain (<xref ref-type="bibr" rid="B18">18</xref>). Although ROS play important roles in the regulation of cell signaling and homeostasis (<xref ref-type="bibr" rid="B19">19</xref>&#x2013;<xref ref-type="bibr" rid="B21">21</xref>), excessive ROS can lead to cellular damage by oxidation of proteins, lipids, nucleic acids, and organelles. Impairment of mitochondrial function leads to depolarization, reduction in membrane potential, changes in membrane permeability, and, ultimately, apoptosis (<xref ref-type="bibr" rid="B22">22</xref>).</p>
<p>Autophagy, an evolutionary conserved lysosomal degradation process, protects cells from oxidative stress by removing damaged cellular components such as mitochondria (<xref ref-type="bibr" rid="B23">23</xref>, <xref ref-type="bibr" rid="B24">24</xref>). Its role in memory and plasma B-cell development has been assessed only in mouse models (<xref ref-type="bibr" rid="B25">25</xref>). There are lines of evidence suggesting a reciprocal interplay between mitochondrial function and autophagy, but the molecular mechanisms underlying autophagy response to oxidative stress are largely unknown (<xref ref-type="bibr" rid="B26">26</xref>).</p>
<p>We have previously found that an increased susceptibility to activation-induced apoptosis could be the cause of memory B-cell loss in a subgroup of CVID patients with a more compromised memory B-cell compartment (<xref ref-type="bibr" rid="B27">27</xref>). We have also demonstrated a disbalance in mitochondrial apoptosis regulation in this subgroup of patients (<xref ref-type="bibr" rid="B28">28</xref>).</p>
<p>The aim of this study was to examine the interplay of mitochondrial function, ROS production, and autophagy processes in healthy human na&#xef;ve and memory B-cell subpopulations and to determine whether any alterations in these processes could potentially impact B-cell fate and contribute to the lack of B-cell differentiation observed in CVID patients.</p>
</sec>
<sec id="s2" sec-type="materials|methods">
<label>2</label>
<title>Materials and methods</title>
<sec id="s2_1">
<label>2.1</label>
<title>Patients</title>
<p>CVID patients were selected according to diagnostic criteria established by the International Union of Immunological Societies scientific group for primary immunodeficiency diseases (<xref ref-type="bibr" rid="B29">29</xref>, <xref ref-type="bibr" rid="B30">30</xref>). The study included 25 patients diagnosed with CVID, comprising 17 women and eight men, with ages ranging from 31 to 78 and 18 to 74, respectively. Only patients with more than 1% of B cells were included in the study. Patients were categorized into two groups according to the European consensus classification for CVID (EUROclass) (<xref ref-type="bibr" rid="B8">8</xref>): i) CVID patients with &lt;2% of IgD<sup>&#x2212;</sup>CD27<sup>+</sup> (switched memory phenotype) B cells or smB&#x2212; (n = 13) and (ii) patients with &gt;2% of IgD<sup>&#x2212;</sup>CD27<sup>+</sup> (n = 12) or smB+. All patients received substitutive gammaglobulin therapy every 21&#x2013;28 days and were free from infection at the time of the study. Peripheral blood samples were collected before gammaglobulin replacement.</p>
<p>
<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref> provides a summary of the patients&#x2019; age, gender, and percentages of B-cell populations. Additionally, 25 age and sex-matched healthy blood donors were included as controls (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table&#xa0;1</bold>
</xref>). The study was conducted in accordance with the ethical principles outlined in the 1975 Declaration of Helsinki, and it was approved by CEIC-IB (Balearic Islands Clinical Research Ethics Committee; IB 4322/20). Written informed consent was obtained from all subjects prior to their participation in the study.</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Age, gender, immunoglobulin levels, B-cell subpopulations, and classification of the CVID patient cohort.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="center">Patient</th>
<th valign="middle" align="center">Current age (years)</th>
<th valign="middle" align="center">Gender (male/female)</th>
<th valign="middle" align="center">IgG (mg/dL)</th>
<th valign="middle" align="center">IgA (mg/dL)</th>
<th valign="middle" align="center">IgM (mg/dL)</th>
<th valign="middle" align="center">CD19<sup>+</sup> (%)</th>
<th valign="middle" align="center">CD19<sup>+</sup> CD21<sup>low</sup> (%)</th>
<th valign="middle" align="center">CD19<sup>+</sup> IgD<sup>+</sup>CD27<sup>&#x2212;</sup> (%)</th>
<th valign="middle" align="center">CD19<sup>+</sup> IgD<sup>+</sup>CD27<sup>+</sup> (%)</th>
<th valign="middle" align="center">CD19<sup>+</sup> IgD<sup>&#x2212;</sup>CD27<sup>+</sup> (%)</th>
<th valign="middle" align="center">EUROclass group</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="center">1</td>
<td valign="bottom" align="center">49</td>
<td valign="bottom" align="center">M</td>
<td valign="bottom" align="center">85</td>
<td valign="bottom" align="center">&lt;24</td>
<td valign="bottom" align="center">&lt;18</td>
<td valign="bottom" align="center">3</td>
<td valign="bottom" align="center">16</td>
<td valign="bottom" align="center">73</td>
<td valign="bottom" align="center">25</td>
<td valign="bottom" align="center">&lt;1</td>
<td valign="bottom" align="center">smB&#x2212;</td>
</tr>
<tr>
<td valign="middle" align="center">2</td>
<td valign="bottom" align="center">71</td>
<td valign="bottom" align="center">F</td>
<td valign="bottom" align="center">112</td>
<td valign="bottom" align="center">&lt;6</td>
<td valign="bottom" align="center">&lt;5</td>
<td valign="bottom" align="center">6</td>
<td valign="bottom" align="center">16</td>
<td valign="bottom" align="center">87</td>
<td valign="bottom" align="center">7</td>
<td valign="bottom" align="center">&lt;1</td>
<td valign="bottom" align="center">smB&#x2212;</td>
</tr>
<tr>
<td valign="middle" align="center">3</td>
<td valign="bottom" align="center">55</td>
<td valign="bottom" align="center">F</td>
<td valign="bottom" align="center">288</td>
<td valign="bottom" align="center">32</td>
<td valign="bottom" align="center">14</td>
<td valign="bottom" align="center">20</td>
<td valign="bottom" align="center">NA</td>
<td valign="bottom" align="center">83</td>
<td valign="bottom" align="center">3</td>
<td valign="bottom" align="center">3</td>
<td valign="bottom" align="center">smB+</td>
</tr>
<tr>
<td valign="middle" align="center">4</td>
<td valign="bottom" align="center">51</td>
<td valign="bottom" align="center">F</td>
<td valign="bottom" align="center">387</td>
<td valign="bottom" align="center">&lt;7</td>
<td valign="bottom" align="center">17</td>
<td valign="bottom" align="center">6</td>
<td valign="bottom" align="center">NA</td>
<td valign="bottom" align="center">67</td>
<td valign="bottom" align="center">15</td>
<td valign="bottom" align="center">9</td>
<td valign="bottom" align="center">smB+</td>
</tr>
<tr>
<td valign="middle" align="center">5</td>
<td valign="bottom" align="center">72</td>
<td valign="bottom" align="center">F</td>
<td valign="bottom" align="center">327</td>
<td valign="bottom" align="center">73</td>
<td valign="bottom" align="center">30</td>
<td valign="bottom" align="center">16</td>
<td valign="bottom" align="center">7</td>
<td valign="bottom" align="center">62</td>
<td valign="bottom" align="center">27</td>
<td valign="bottom" align="center">8</td>
<td valign="bottom" align="center">smB+</td>
</tr>
<tr>
<td valign="middle" align="center">6</td>
<td valign="bottom" align="center">44</td>
<td valign="bottom" align="center">F</td>
<td valign="bottom" align="center">578</td>
<td valign="bottom" align="center">&lt;25</td>
<td valign="bottom" align="center">62</td>
<td valign="bottom" align="center">11</td>
<td valign="bottom" align="center">20</td>
<td valign="bottom" align="center">61</td>
<td valign="bottom" align="center">36</td>
<td valign="bottom" align="center">3</td>
<td valign="bottom" align="center">smB+</td>
</tr>
<tr>
<td valign="middle" align="center">7</td>
<td valign="bottom" align="center">40</td>
<td valign="bottom" align="center">F</td>
<td valign="bottom" align="center">164</td>
<td valign="bottom" align="center">&lt;7</td>
<td valign="bottom" align="center">8</td>
<td valign="bottom" align="center">24</td>
<td valign="bottom" align="center">5</td>
<td valign="bottom" align="center">89</td>
<td valign="bottom" align="center">6</td>
<td valign="bottom" align="center">&lt;2</td>
<td valign="bottom" align="center">smB&#x2212;</td>
</tr>
<tr>
<td valign="middle" align="center">8</td>
<td valign="bottom" align="center">41</td>
<td valign="bottom" align="center">F</td>
<td valign="bottom" align="center">351</td>
<td valign="bottom" align="center">20</td>
<td valign="bottom" align="center">&lt;6</td>
<td valign="bottom" align="center">15</td>
<td valign="bottom" align="center">24</td>
<td valign="bottom" align="center">81</td>
<td valign="bottom" align="center">11</td>
<td valign="bottom" align="center">&lt;2</td>
<td valign="bottom" align="center">smB&#x2212;</td>
</tr>
<tr>
<td valign="middle" align="center">9</td>
<td valign="bottom" align="center">58</td>
<td valign="bottom" align="center">F</td>
<td valign="bottom" align="center">495</td>
<td valign="bottom" align="center">44</td>
<td valign="bottom" align="center">38</td>
<td valign="bottom" align="center">11</td>
<td valign="bottom" align="center">6</td>
<td valign="bottom" align="center">72</td>
<td valign="bottom" align="center">35</td>
<td valign="bottom" align="center">2</td>
<td valign="bottom" align="center">smB+</td>
</tr>
<tr>
<td valign="middle" align="center">10</td>
<td valign="bottom" align="center">73</td>
<td valign="bottom" align="center">M</td>
<td valign="bottom" align="center">316</td>
<td valign="bottom" align="center">9</td>
<td valign="bottom" align="center">12</td>
<td valign="bottom" align="center">9</td>
<td valign="bottom" align="center">36</td>
<td valign="bottom" align="center">94</td>
<td valign="bottom" align="center">1</td>
<td valign="bottom" align="center">&lt;1</td>
<td valign="bottom" align="center">smB&#x2212;</td>
</tr>
<tr>
<td valign="middle" align="center">11</td>
<td valign="bottom" align="center">78</td>
<td valign="bottom" align="center">F</td>
<td valign="bottom" align="center">452</td>
<td valign="bottom" align="center">46</td>
<td valign="bottom" align="center">58</td>
<td valign="bottom" align="center">6</td>
<td valign="bottom" align="center">3</td>
<td valign="bottom" align="center">14</td>
<td valign="bottom" align="center">26</td>
<td valign="bottom" align="center">56</td>
<td valign="bottom" align="center">smB+</td>
</tr>
<tr>
<td valign="middle" align="center">12</td>
<td valign="bottom" align="center">41</td>
<td valign="bottom" align="center">M</td>
<td valign="bottom" align="center">82</td>
<td valign="bottom" align="center">&lt;6</td>
<td valign="bottom" align="center">5</td>
<td valign="bottom" align="center">11</td>
<td valign="bottom" align="center">11</td>
<td valign="bottom" align="center">93</td>
<td valign="bottom" align="center">6</td>
<td valign="bottom" align="center">1</td>
<td valign="bottom" align="center">smB&#x2212;</td>
</tr>
<tr>
<td valign="middle" align="center">13</td>
<td valign="bottom" align="center">52</td>
<td valign="bottom" align="center">M</td>
<td valign="bottom" align="center">464</td>
<td valign="bottom" align="center">&lt;6</td>
<td valign="bottom" align="center">48</td>
<td valign="bottom" align="center">8</td>
<td valign="bottom" align="center">41</td>
<td valign="bottom" align="center">66</td>
<td valign="bottom" align="center">27</td>
<td valign="bottom" align="center">3</td>
<td valign="bottom" align="center">smB+</td>
</tr>
<tr>
<td valign="middle" align="center">14</td>
<td valign="bottom" align="center">60</td>
<td valign="bottom" align="center">F</td>
<td valign="bottom" align="center">397</td>
<td valign="bottom" align="center">126</td>
<td valign="bottom" align="center">22</td>
<td valign="bottom" align="center">20</td>
<td valign="bottom" align="center">3</td>
<td valign="bottom" align="center">90</td>
<td valign="bottom" align="center">9</td>
<td valign="bottom" align="center">1</td>
<td valign="bottom" align="center">smB&#x2212;</td>
</tr>
<tr>
<td valign="middle" align="center">15</td>
<td valign="bottom" align="center">33</td>
<td valign="bottom" align="center">F</td>
<td valign="bottom" align="center">172</td>
<td valign="bottom" align="center">&lt;6</td>
<td valign="bottom" align="center">11</td>
<td valign="bottom" align="center">5</td>
<td valign="bottom" align="center">15</td>
<td valign="bottom" align="center">68</td>
<td valign="bottom" align="center">25</td>
<td valign="bottom" align="center">7</td>
<td valign="bottom" align="center">smB+</td>
</tr>
<tr>
<td valign="middle" align="center">16</td>
<td valign="bottom" align="center">55</td>
<td valign="bottom" align="center">M</td>
<td valign="bottom" align="center">117</td>
<td valign="bottom" align="center">31</td>
<td valign="bottom" align="center">30</td>
<td valign="bottom" align="center">5</td>
<td valign="bottom" align="center">19</td>
<td valign="bottom" align="center">74</td>
<td valign="bottom" align="center">25</td>
<td valign="bottom" align="center">1</td>
<td valign="bottom" align="center">smB&#x2212;</td>
</tr>
<tr>
<td valign="middle" align="center">17</td>
<td valign="bottom" align="center">45</td>
<td valign="bottom" align="center">F</td>
<td valign="bottom" align="center">371</td>
<td valign="bottom" align="center">&lt;6</td>
<td valign="bottom" align="center">34</td>
<td valign="bottom" align="center">5</td>
<td valign="bottom" align="center">35</td>
<td valign="bottom" align="center">80</td>
<td valign="bottom" align="center">19</td>
<td valign="bottom" align="center">1</td>
<td valign="bottom" align="center">smB&#x2212;</td>
</tr>
<tr>
<td valign="middle" align="center">18</td>
<td valign="bottom" align="center">74</td>
<td valign="bottom" align="center">M</td>
<td valign="bottom" align="center">452</td>
<td valign="bottom" align="center">40</td>
<td valign="bottom" align="center">30</td>
<td valign="bottom" align="center">4</td>
<td valign="bottom" align="center">69</td>
<td valign="bottom" align="center">93</td>
<td valign="bottom" align="center">3</td>
<td valign="bottom" align="center">&lt;1</td>
<td valign="bottom" align="center">smB&#x2212;</td>
</tr>
<tr>
<td valign="middle" align="center">19</td>
<td valign="bottom" align="center">78</td>
<td valign="bottom" align="center">F</td>
<td valign="bottom" align="center">434</td>
<td valign="bottom" align="center">47</td>
<td valign="bottom" align="center">46</td>
<td valign="bottom" align="center">12</td>
<td valign="bottom" align="center">11</td>
<td valign="bottom" align="center">32</td>
<td valign="bottom" align="center">54</td>
<td valign="bottom" align="center">10</td>
<td valign="bottom" align="center">smB+</td>
</tr>
<tr>
<td valign="middle" align="center">20</td>
<td valign="bottom" align="center">44</td>
<td valign="bottom" align="center">F</td>
<td valign="bottom" align="center">200</td>
<td valign="bottom" align="center">&lt;7</td>
<td valign="bottom" align="center">6</td>
<td valign="bottom" align="center">6</td>
<td valign="bottom" align="center">57</td>
<td valign="bottom" align="center">87</td>
<td valign="bottom" align="center">9</td>
<td valign="bottom" align="center">&lt;1</td>
<td valign="bottom" align="center">smB+</td>
</tr>
<tr>
<td valign="middle" align="center">21</td>
<td valign="bottom" align="center">36</td>
<td valign="bottom" align="center">M</td>
<td valign="bottom" align="center">13</td>
<td valign="bottom" align="center">&lt;7</td>
<td valign="bottom" align="center">&lt;5</td>
<td valign="bottom" align="center">4</td>
<td valign="bottom" align="center">5</td>
<td valign="bottom" align="center">96</td>
<td valign="bottom" align="center">3</td>
<td valign="bottom" align="center">&lt;1</td>
<td valign="bottom" align="center">smB&#x2212;</td>
</tr>
<tr>
<td valign="middle" align="center">22</td>
<td valign="bottom" align="center">54</td>
<td valign="bottom" align="center">F</td>
<td valign="bottom" align="center">548</td>
<td valign="bottom" align="center">&lt;7</td>
<td valign="bottom" align="center">&lt;5</td>
<td valign="bottom" align="center">7</td>
<td valign="bottom" align="center">43</td>
<td valign="bottom" align="center">90</td>
<td valign="bottom" align="center">7</td>
<td valign="bottom" align="center">1</td>
<td valign="bottom" align="center">smB&#x2212;</td>
</tr>
<tr>
<td valign="middle" align="center">23</td>
<td valign="bottom" align="center">42</td>
<td valign="bottom" align="center">F</td>
<td valign="bottom" align="center">465</td>
<td valign="bottom" align="center">&lt;7</td>
<td valign="bottom" align="center">97</td>
<td valign="bottom" align="center">17</td>
<td valign="bottom" align="center">18</td>
<td valign="bottom" align="center">68</td>
<td valign="bottom" align="center">28</td>
<td valign="bottom" align="center">3</td>
<td valign="bottom" align="center">smB+</td>
</tr>
<tr>
<td valign="middle" align="center">24</td>
<td valign="bottom" align="center">31</td>
<td valign="bottom" align="center">F</td>
<td valign="bottom" align="center">450</td>
<td valign="bottom" align="center">&lt;7</td>
<td valign="bottom" align="center">73</td>
<td valign="bottom" align="center">10</td>
<td valign="bottom" align="center">18</td>
<td valign="bottom" align="center">60</td>
<td valign="bottom" align="center">33</td>
<td valign="bottom" align="center">5</td>
<td valign="bottom" align="center">smB+</td>
</tr>
<tr>
<td valign="middle" align="center">25</td>
<td valign="bottom" align="center">18</td>
<td valign="bottom" align="center">M</td>
<td valign="bottom" align="center">306</td>
<td valign="bottom" align="center">&lt;5</td>
<td valign="bottom" align="center">&lt;5</td>
<td valign="bottom" align="center">2</td>
<td valign="bottom" align="center">27</td>
<td valign="bottom" align="center">94</td>
<td valign="bottom" align="center">3</td>
<td valign="bottom" align="center">&lt;1</td>
<td valign="bottom" align="center">smB&#x2212;</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Current age (years), gender (M, male; F, female), serum immunoglobulin levels (IgG, IgA, and IgM) before starting replacement therapy, percentage of peripheral blood B cells (CD19<sup>+</sup>), percentages of CD21<sup>low</sup>, na&#xef;ve (IgD<sup>+</sup>CD27<sup>&#x2212;</sup>), unswitched memory (IgD<sup>+</sup>CD27<sup>+</sup>), and switched memory (IgD<sup>&#x2212;</sup>CD27<sup>+</sup>) B-cell subpopulations (referred to total CD19<sup>+</sup> B cells), EUROclass classification.</p>
</fn>
<fn>
<p>NA, not available.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s2_2">
<label>2.2</label>
<title>Cell culture</title>
<p>Peripheral blood mononuclear cells (PBMCs) were isolated from heparinized blood by density gradient centrifugation (Lymphoprep&#x2122;; StemCell, Technologies Inc., Vancouver, BC, Canada). PBMCs were resuspended in culture medium: RPMI-1640 formulated with glutamine (300 mg/L) (Irvine Scientific, Santa Ana, CA, USA) and supplemented with 10% heat-inactivated fetal calf serum (Cytiva, Marlborough, MA, USA) and antibiotics (penicillin and streptomycin) (EuroClone, Milan, Italy).</p>
<p>PBMCs were cultured (1 &#xd7; 10<sup>6</sup> cell/mL) in 24-well flat bottom plates (for ROS and autophagy evaluation) or 96-well plates (for mitochondrial evaluation) and incubated in the absence (unstimulated) or presence of specific B-cell stimulus combinations: F(ab)2 goat anti-human IgA + IgG + IgM (anti-BCR) (5 &#xb5;g/mL; Jackson ImmunoResearch, West Grove, PA, USA), anti-human CD40/TNFRSF5 antibody (1 &#xb5;g/mL; R&amp;D Systems, Minneapolis, MN, USA), CpG-oligodeoxinucleotide (ODN) (0.6 &#xb5;g/mL; CpG-ODN 2006 type B; InvivoGen, San Diego, CA, USA), and human recombinant IL-21 (100 ng/mL; BioSource, Blue Bell, PA, USA). Additionally, in cultures aimed at autophagic flux evaluation, bafilomycin A1 (10 nM; Sigma-Aldrich, St. Louis, MO, USA) was added to inhibit autophagosome degradation. Cultures were maintained for 24 h at 37&#xb0;C in a 5% CO<sub>2</sub> atmosphere.</p>
</sec>
<sec id="s2_3">
<label>2.3</label>
<title>Flow cytometry</title>
<p>Peripheral blood lymphocyte populations, cell death, mitochondrial membrane potential (MMP), mitochondrial mass (MM), ROS production, and autophagy levels were analyzed by flow cytometry using a BD FACSLyric (Becton Dickinson, Franklin Lakes, NJ, USA) cytometer and FlowJo v10 software for data analysis.</p>
<sec id="s2_3_1">
<label>2.3.1</label>
<title>Peripheral blood lymphocyte populations</title>
<p>A surface staining protocol was applied to evaluate B-cell subpopulations and phenotypically classify CVID patients. Briefly, 50 &#xb5;L of peripheral whole blood was incubated with a combination of fluorochrome-conjugated monoclonal antibodies (5 &#xb5;L of each antibody) for 20 min at room temperature (25&#xb0;C). Red blood cells were lysed for 10 min with 2 mL of FACS Lysing solution (Becton Dickinson) and washed with phosphate-buffered saline (PBS) before flow cytometry analysis. The combination of the following monoclonal antibodies was used to determine the distribution of B-cell subpopulations&#x2014;anti-CD19-PECy7, anti-CD45-V500, anti-CD27-APC, anti-IgD-V450, and anti-CD21-BV605&#x2014;all from Becton Dickinson.</p>
</sec>
<sec id="s2_3_2">
<label>2.3.2</label>
<title>Mitochondrial function</title>
<p>Mitochondrial function was assessed using MitoTracker probes (MitoTracker Green and MitoTracker Deep Red from Invitrogen, Carlsbad, CA, USA) following the manufacturer&#x2019;s instructions. Briefly, 2 &#xd7; 10<sup>5</sup> harvested cells were stained with Live/Dead Aqua Dead Cell Stain (Invitrogen Molecular Probes, Eugene, OR, USA) for 20 min at room temperature (RT) followed by anti-CD19-PE-Cy7 and anti-CD27-BV421 (both from BD Biosciences, San Jose, CA, USA) staining for 15 min at RT. Then, cells were washed with PBS and stained with MitoTracker Green and MitoTracker Deep Red for the evaluation of mitochondrial mass and mitochondrial membrane potential, respectively, for 30 min at 37&#xb0;C.</p>
<p>Reduction of mitochondrial membrane potential is a hallmark of mitochondrial dysfunction. For this reason, viable (Live/Dead<sup>&#x2212;</sup>) na&#xef;ve (CD19<sup>+</sup>CD27<sup>&#x2212;</sup>) and memory (CD19<sup>+</sup>CD27<sup>+</sup>) B cells (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1A</bold>
</xref>i), containing mitochondria with low membrane potential, identified as MitoTracker Deep Red<sup>low</sup> and MitoTracker Green<sup>+</sup> (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1A</bold>
</xref>ii), were considered B cells with dysfunctional mitochondria (CDM). Fold increase in the percentage of CDM induced by each single stimulus related to the unstimulated sample was expressed as a ratio: (single stimulus % CDM)/(unstimulated % CDM).</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>B-cell subpopulations with dysfunctional mitochondria in healthy controls and common variable immunodeficiency (CVID) patients. <bold>(A)</bold> Dot plots of B-cell subpopulations with dysfunctional mitochondria from a representative control and CVID patient. (i) Gating strategy: viable B cells were selected based on forward and side scatter, non-expression of Live/Dead marker, and CD19<sup>+</sup> expression. B-cell subpopulations were identified as na&#xef;ve CD19<sup>+</sup>CD27<sup>&#x2212;</sup> (green color) and memory CD19<sup>+</sup>CD27<sup>+</sup> (purple color). (ii) Cells with dysfunctional mitochondria were selected as MitoTracker Deep Red<sup>low</sup> and MitoTracker Green<sup>+</sup> from healthy control (left panels) and CVID patients (right panels). <bold>(B)</bold> Comparison between the percentages of na&#xef;ve CD19<sup>+</sup>CD27<sup>&#x2212;</sup> (green dots) and memory CD19<sup>+</sup>CD27<sup>+</sup> (purple dots) B cells with dysfunctional mitochondria in (i) healthy controls and (ii) CVID patients after 24 h of culture without or with stimulation with anti-BCR, anti-CD40, CpG-ODN, or the combinations anti-CD40+IL-21 and anti-BCR+CpG-ODN. <bold>(C)</bold> Percentages of unstimulated na&#xef;ve CD19<sup>+</sup>CD27<sup>&#x2212;</sup> (green dots) and memory CD19<sup>+</sup>CD27<sup>+</sup> (purple dots) B cells with dysfunctional mitochondria from healthy controls (empty dots) and CVID patients (filled dots). <bold>(B, C)</bold> Each dot represents an individual; black horizontal lines illustrate the median of the group. Mann&#x2013;Whitney test p<italic>-</italic>values: **p &lt; 0.01.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-15-1362995-g001.tif"/>
</fig>
</sec>
<sec id="s2_3_3">
<label>2.3.3</label>
<title>ROS production</title>
<p>CellROX Deep Red Flow Cytometry Assay Kit (Invitrogen Molecular Probes) was used to evaluate ROS production. Briefly, 5 &#xd7; 10<sup>5</sup> harvested cells were stained with CellROX Deep Red Reagent (1 &#xb5;M) for 25 min at 37&#xb0;C. For surface staining, cells were stained with anti-CD19-PE-Cy7 and anti-CD27-BV605 (all from BD Biosciences) for 15 min at 37&#xb0;C. Finally, cells were stained with SYTOX Blue Dead Cell Stain (200 nM) for 15 min at 37&#xb0;C to identify dead (SYTOX<sup>+</sup>) and viable (SYTOX<sup>&#x2212;</sup>) cells. ROS production was evaluated as the percentage of viable na&#xef;ve (CD19<sup>+</sup>CD27<sup>&#x2212;</sup>) or memory (CD19<sup>+</sup>CD27<sup>+</sup>) B cells that stained positive for CellROX Deep Red probe (CellROX<sup>+</sup> cells) (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2A</bold>
</xref>).</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Reactive oxygen species (ROS) in B-cell subpopulations from healthy controls and common variable immunodeficiency (CVID) patients. <bold>(A)</bold> Dot plots with histograms representing ROS production in B-cell subpopulations from a representative control and CVID patient. (i) Gating strategy: viable B cells were selected based on forward and side scatter, non-expression of SYTOX marker, and CD19<sup>+</sup> expression. B-cell subpopulations were identified as na&#xef;ve CD19<sup>+</sup>CD27<sup>&#x2212;</sup> (green color) and memory CD19<sup>+</sup>CD27<sup>+</sup> (purple color). (ii) ROS production was identified as the percentage of cells positive for CellROX Deep Red probe (% CellROX<sup>+</sup> cells). Histograms show the percentage (upper right corner) of ROS-producing cells from healthy control (left histograms) and CVID patients (right histograms). <bold>(B)</bold> Comparison between the percentages of CellROX<sup>+</sup> na&#xef;ve CD19<sup>+</sup>CD27<sup>&#x2212;</sup> (green dots) and memory CD19<sup>+</sup>CD27<sup>+</sup> (purple dots) B cells from (i) healthy controls and (i) CVID patients after 24 h of culture without or with stimulation with anti-BCR, anti-CD40, CpG-ODN, anti-BCR+IL-21, anti-CD40+IL-21, anti-BCR+CpG-ODN, or anti-BCR+anti-CD40. <bold>(C)</bold> Percentages of unstimulated CellROX<sup>+</sup> na&#xef;ve CD19<sup>+</sup>CD27<sup>&#x2212;</sup> (green dots) and memory CD19<sup>+</sup>CD27<sup>+</sup> (purple dots) from healthy controls (empty dots) and CVID patients (filled dots). <bold>(B, C)</bold> Each dot represents an individual; black horizontal lines illustrate the median of the group. Mann&#x2013;Whitney test p<italic>-</italic>values: ****p &lt; 0.0001.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-15-1362995-g002.tif"/>
</fig>
<p>ROS fold increase induced by each single stimulus related to the unstimulated sample was expressed as a ratio: (single stimulus % CellROX<sup>+</sup> cells)/(unstimulated % CellROX<sup>+</sup> cells).</p>
<p>
<italic>In vitro</italic> basal cell death was evaluated as the percentage of SYTOX<sup>+</sup> na&#xef;ve (CD19<sup>+</sup>CD27<sup>&#x2212;</sup>) or memory (CD19<sup>+</sup>CD27<sup>+</sup>) B cells in unstimulated 24-h cultures (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure&#xa0;1A</bold>
</xref>).</p>
</sec>
<sec id="s2_3_4">
<label>2.3.4</label>
<title>Autophagy</title>
<p>For autophagy detection, the Guava Autophagy LC3 Antibody-based detection kit (Luminex, Austin, TX, USA) was performed following the manufacturer&#x2019;s instructions. Anti-LC3-II-FITC detects lipidated LC3-II protein present in the autophagosome membrane. Briefly, 5 &#xd7; 10<sup>5</sup> harvested cells were stained with Live/Dead Aqua Dead Cell Stain (Invitrogen Molecular Probes) for 20 min at 4&#xb0;C. Cells were washed with cold PBS and stained with anti-CD19-APC and anti-CD27-BV605 (both from BD Biosciences) for 20 min at 4&#xb0;C. After surface staining, cells were washed with 1X Assay Buffer and stained with 1X Autophagy Reagent B for selective permeabilization. Cells were washed immediately and stained with 1X Anti-LC3-II-FITC for 30 min at 4&#xb0;C and finally fixed with 2% formaldehyde solution (Merck, Darmstadt, Germany) for 10 min at RT.</p>
<p>Geometric mean fluorescence intensity (MFI) of Anti-LC3-II-FITC was used to evaluate autophagy levels in previously gated na&#xef;ve (CD19<sup>+</sup>CD27<sup>&#x2212;</sup>) and memory (CD19<sup>+</sup>CD27<sup>+</sup>) viable (Live/Dead<sup>&#x2212;</sup>) B cells. Basal autophagy refers to autophagy measured in 24-h unstimulated cultured cells. Autophagic flux refers to autophagy measured in 24-h unstimulated or stimulated cells in the presence of bafilomycin A1 (bafA1). Bafilomycin promotes the accumulation of autophagosomes by inhibiting autophagosome breakdown, thus favoring the detection of LC3-II (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3A</bold>
</xref>). Autophagic flux fold increase induced by each single stimulus related to the unstimulated sample was expressed as a ratio: (single stimulus Anti-LC3-II MFI)/(unstimulated Anti-LC3-II MFI).</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Autophagy in B-cell subpopulations from healthy controls and common variable immunodeficiency (CVID) patients. <bold>(A)</bold> Dot plot and histograms of autophagy levels in B-cell subpopulations from a representative control and CVID patient. (i) Gating strategy: viable B cells were selected based on forward and side scatter, non-expression of Live/Dead marker, and CD19<sup>+</sup> expression. B-cell subpopulations were identified as na&#xef;ve CD19<sup>+</sup>CD27<sup>&#x2212;</sup> (green color) and memory CD19<sup>+</sup>CD27<sup>+</sup> (purple color). (ii) Anti-LC3-II mean fluorescence intensity (MFI) was used to evaluate autophagy levels. Histograms represent Anti-LC3-II MFI from a healthy control (left histograms) and a CVID patient (right histograms). Within individual plots, upper histogram refers to basal autophagy, and lower histogram refers to autophagic flux. Numbers in the histogram refer to Anti-LC3-II MFI. (iii) Representative histograms of autophagic flux without or with stimulation with anti-BCR, anti-CD40, or CpG-ODN in na&#xef;ve CD19<sup>+</sup>CD27<sup>&#x2212;</sup> (green color) and memory CD19<sup>+</sup>CD27<sup>+</sup> (purple color) from a healthy control (left histograms) and a CVID patient (right histograms). Numbers in the histogram refer to Anti-LC3-II MFI. <bold>(B)</bold> Comparison of autophagic flux between na&#xef;ve CD19<sup>+</sup>CD27<sup>&#x2212;</sup> (green dots) and memory CD19<sup>+</sup>CD27<sup>+</sup> (purple dots) B cells from (i) healthy controls and (ii) CVID patients after 24 h of culture without or with stimulation with anti-BCR, anti-CD40, CpG-ODN, anti-BCR+IL-21, anti-CD40+IL-21, anti-BCR+CpG-ODN, or anti-BCR+anti-CD40. <bold>(C)</bold> Basal autophagy in unstimulated na&#xef;ve CD19<sup>+</sup>CD27<sup>&#x2212;</sup> (green color) and memory CD19<sup>+</sup>CD27<sup>+</sup> (purple color) from healthy controls (empty dots) and CVID patients (filled dots). <bold>(D)</bold> Autophagic flux in unstimulated na&#xef;ve CD19<sup>+</sup>CD27<sup>&#x2212;</sup> (green color) and memory CD19<sup>+</sup>CD27<sup>+</sup> (purple color) from healthy controls (empty dots) and CVID patients (filled dots). <bold>(B&#x2013;D)</bold> Each dot represents an individual; black horizontal lines illustrate the median of the group; Mann&#x2013;Whitney test p<italic>-</italic>values: *p &lt; 0.05; ***p &lt; 0.001; ****p &lt; 0.0001.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-15-1362995-g003.tif"/>
</fig>
</sec>
</sec>
<sec id="s2_4">
<label>2.4</label>
<title>Statistical analysis</title>
<p>Statistical analysis was performed using GraphPad Prism version 8.0 software. The Mann&#x2013;Whitney test was used to compare differences between two independent data sets related to a single experimental condition (e.g., CD19<sup>+</sup>CD27<sup>&#x2212;</sup> <italic>vs.</italic> CD19<sup>+</sup>CD27<sup>+</sup> unstimulated control B cells, or control <italic>vs.</italic> CVID single B-cell subpopulation stimulated with anti-BCR). The Wilcoxon test was used to compare differences between two paired groups of treatments (basal and post-stimulation conditions or each single stimulus with its combination with other stimuli). Correlation between variables was measured using Pearson&#x2019;s correlation coefficient. A p-value less than 0.05 was considered statistically significant. Principal component analysis (PCA) was performed to evaluate relationships between the experimental variables studied and the patients&#x2019; B-cell deficiency according to the EUROclass classification. To this end, in the PCA, the categorical B-cell deficiency variable was converted to numerical data, as follows: healthy controls = 0, smB+ CVID patients = 1, and smB&#x2212; CVID patients = 2. Variables were considered significantly loaded in the PCA when the loading value was above or below &#xb1;0.5.</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<label>3</label>
<title>Results</title>
<sec id="s3_1">
<label>3.1</label>
<title>Cells with dysfunctional mitochondria in na&#xef;ve and memory B cells from healthy controls and CVID patients</title>
<p>We evaluated the percentage of na&#xef;ve (CD19<sup>+</sup>CD27<sup>&#x2212;</sup>) and memory (CD19<sup>+</sup>CD27<sup>+</sup>) viable B cells with dysfunctional mitochondria from healthy controls and CVID patients. Representative data of a CVID patient and paired healthy control are depicted in <xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1A</bold>
</xref>ii.</p>
<p>Unstimulated CD19<sup>+</sup>CD27<sup>&#x2212;</sup> control B cells, in contrast to CVID B cells, exhibited a higher percentage of dysfunctional mitochondria than CD19<sup>+</sup>CD27<sup>+</sup> control B cells (p &lt; 0.01) (<xref ref-type="fig" rid="f1">
<bold>Figures&#xa0;1B</bold>
</xref>i, ii). Next, we compared the percentage of B-cell subpopulations with dysfunctional mitochondria between healthy controls and CVID patients. We detected higher basal percentages of CD19<sup>+</sup>CD27<sup>&#x2212;</sup> B cells with dysfunctional mitochondria in CVID patients compared to controls (p &lt; 0.01) (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1C</bold>
</xref>).</p>
<p>The percentage of cells with dysfunctional mitochondria increased upon control B-cell activation through T-independent (CpG-ODN) and T-dependent (anti-CD40) stimuli (<xref ref-type="fig" rid="f4">
<bold>Figures&#xa0;4</bold>
</xref>i, iii). Specifically, CpG-ODN induced the strongest increase on both CD19<sup>+</sup>CD27<sup>&#x2212;</sup> and CD19<sup>+</sup>CD27<sup>+</sup> control B cells (p &lt; 0.05 and p &lt; 0.01, respectively), followed by anti-CD40 (p &lt; 0.01 and p &lt; 0.01, respectively) (<xref ref-type="fig" rid="f4">
<bold>Figures&#xa0;4A</bold>
</xref>i, iii). Interestingly, B-cell activation by BCR triggering (anti-BCR) reduced the percentage of B cells with dysfunctional mitochondria in CD19<sup>+</sup>CD27<sup>&#x2212;</sup> (p &lt; 0.01) while increasing their percentage in CD19<sup>+</sup>CD27<sup>+</sup> control B cells (p &lt; 0.01) (<xref ref-type="fig" rid="f4">
<bold>Figures&#xa0;4A</bold>
</xref>i, iii). The addition of IL-21 decreased the effect of anti-CD40 in CD19<sup>+</sup>CD27<sup>&#x2212;</sup> control B cells (p &lt; 0.05) (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4A</bold>
</xref>i). The combination of anti-BCR with CpG-ODN increased the percentage of both CD19<sup>+</sup>CD27<sup>&#x2212;</sup> and CD19<sup>+</sup>CD27<sup>+</sup> control B cells with dysfunctional mitochondria compared to anti-BCR alone (p &lt; 0.0001 and p &lt; 0.001, respectively) (<xref ref-type="fig" rid="f4">
<bold>Figures&#xa0;4A</bold>
</xref>i, iii).</p>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>B-cell subpopulations with dysfunctional mitochondria in healthy controls and common variable immunodeficiency (CVID) patients after stimulation. <bold>(A)</bold> Percentages of na&#xef;ve CD19<sup>+</sup>CD27<sup>&#x2212;</sup> (i) and (ii) and memory CD19<sup>+</sup>CD27<sup>+</sup> (iii) and (iv) B cells with dysfunctional mitochondria in healthy controls (i) and (iii) and CVID patients (ii) and (iv) after 24 h of culture without or with stimulation with anti-BCR, anti-CD40, CpG-ODN, anti-CD40+IL-21, or anti-BCR+CpG-ODN. <bold>(B)</bold> Fold increase in the percentage of B-cell subpopulations with dysfunctional mitochondria induced by each single stimulus or combination, related to unstimulated sample in (i) na&#xef;ve CD19<sup>+</sup>CD27<sup>&#x2212;</sup> and <bold>(ii)</bold> memory CD19<sup>+</sup>CD27<sup>+</sup> B cell from healthy controls and CVID patients. Each dot represents an individual. Green dots (na&#xef;ve CD19<sup>+</sup>CD27<sup>&#x2212;</sup>) and purple dots (memory CD19<sup>+</sup>CD27<sup>+</sup>); empty dots (healthy controls) and filled dots (CVID patients). Black horizontal lines illustrate the median of the group. <bold>(A)</bold> Wilcoxon test p<italic>-</italic>values: *p &lt; 0.05; **p &lt; 0.01; ***p &lt; 0.001; <sup>#</sup>p &lt; 0.05 (&#x201c;*&#x201d; refers to p<italic>-</italic>value of samples stimulated with a single stimulus compared to unstimulated sample; &#x201c;#&#x201d; refers to p<italic>-</italic>value of stimulus combinations compared to single stimulus). <bold>(B)</bold> Mann&#x2013;Whitney test p<italic>-</italic>values: *p &lt; 0.05, **p &lt; 0.01.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-15-1362995-g004.tif"/>
</fig>
<p>Unlike what was observed in healthy controls, anti-CD40 and CpG-ODN did not increase the percentage of CD19<sup>+</sup>CD27<sup>&#x2212;</sup> CVID B cells with dysfunctional mitochondria (<xref ref-type="fig" rid="f4">
<bold>Figures&#xa0;4A</bold>
</xref>i, ii). After anti-BCR and anti-CD40 stimulation, there was a statistically lower fold increase only in the percentage of CD19<sup>+</sup>CD27<sup>+</sup> CVID B cells with dysfunctional mitochondria compared to healthy controls (p &lt; 0.05 and p &lt; 0.01, respectively) (<xref ref-type="fig" rid="f4">
<bold>Figures&#xa0;4B</bold>
</xref>i, ii). Despite this, the final result was a generalized higher level of cells with dysfunctional mitochondria in both CVID subpopulations after stimulation (<xref ref-type="fig" rid="f4">
<bold>Figures&#xa0;4A</bold>
</xref>i&#x2013;iv).</p>
</sec>
<sec id="s3_2">
<label>3.2</label>
<title>ROS levels and production in na&#xef;ve and memory B cells from healthy controls and CVID patients</title>
<p>Next, we evaluated ROS production in na&#xef;ve (CD19<sup>+</sup>CD27<sup>&#x2212;</sup>) and memory (CD19<sup>+</sup>CD27<sup>+</sup>) viable B cells from healthy controls and CVID patients (<xref ref-type="fig" rid="f2">
<bold>Figures&#xa0;2A</bold>
</xref>i, ii).</p>
<p>Unstimulated CD19<sup>+</sup>CD27<sup>+</sup> B cells from healthy controls displayed strongly higher ROS production than CD19<sup>+</sup>CD27<sup>&#x2212;</sup> B cells (p &lt; 0.0001) (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2B</bold>
</xref>i). Unstimulated CD19<sup>+</sup>CD27<sup>+</sup> B cells from CVID patients also displayed significantly higher ROS production than CD19<sup>+</sup>CD27<sup>&#x2212;</sup> B cells (p &lt; 0.0001) (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2B</bold>
</xref>ii). Interestingly, unstimulated CD19<sup>+</sup>CD27<sup>&#x2212;</sup> CVID B cells presented higher ROS production than healthy controls (p &lt; 0.0001) (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2C</bold>
</xref>).</p>
<p>The stimulation of CD19<sup>+</sup>CD27<sup>&#x2212;</sup> healthy control B cells with CpG-ODN, anti-BCR, and anti-CD40 alone increased ROS production (p &lt; 0.0001, p &lt; 0.0001, and p &lt; 0.001, respectively), with CpG-ODN being the strongest inductor (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5A</bold>
</xref>i). The addition of IL-21 down-modulated ROS production induced by anti-BCR (p &lt; 0.01) (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5A</bold>
</xref>i). Conversely, a synergic effect was observed when anti-BCR and anti-CD40 were combined compared to anti-BCR alone (p &lt; 0.001) (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5A</bold>
</xref>i).</p>
<fig id="f5" position="float">
<label>Figure&#xa0;5</label>
<caption>
<p>Reactive oxygen species (ROS) production in B cells from healthy controls and common variable immunodeficiency (CVID) patients after stimulation. <bold>(A)</bold> Percentages of CellROX<sup>+</sup> na&#xef;ve CD19<sup>+</sup>CD27<sup>&#x2212;</sup> (i) and (ii) and memory CD19<sup>+</sup>CD27<sup>+</sup> (iii) and (iv) B cells in healthy controls (i) and (iii) and CVID patients (ii) and (iv) after 24 h of culture without or with stimulation with anti-BCR, anti-CD40, CpG-ODN, anti-BCR+IL-21, anti-CD40+IL-21, anti-BCR+CpG-ODN, or anti-BCR+anti-CD40. <bold>(B)</bold> Fold increase in the percentage of CellROX<sup>+</sup> cells induced by each single stimulus or combinations, related to unstimulated sample in (i) na&#xef;ve CD19<sup>+</sup>CD27<sup>&#x2212;</sup> and (ii) memory CD19<sup>+</sup>CD27<sup>+</sup> B cells from healthy controls and CVID patients. Each dot represents an individual. Green dots (na&#xef;ve CD19<sup>+</sup>CD27<sup>&#x2212;</sup>) and purple dots (memory CD19<sup>+</sup>CD27<sup>+</sup>); empty dots (healthy controls) and filled dots (CVID patients). Black horizontal lines illustrate the median of the group. <bold>(A)</bold> Wilcoxon test p<italic>-</italic>values: *p &lt; 0.05; **p &lt; 0.01; ***p &lt; 0.001; ****p &lt; 0.0001; <sup>#</sup>p &lt; 0.05; <sup>##</sup>p &lt; 0.01; <sup>####</sup>p &lt; 0.0001 (&#x201c;*&#x201d; refers to p-value of samples stimulated with a single stimulus compared to unstimulated sample; &#x201c;#&#x201d; refers to p-value stimulus combinations compared to single stimulus). <bold>(B)</bold> Mann&#x2013;Whitney test p<italic>-</italic>values: *p &lt; 0.05, **p &lt; 0.01.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-15-1362995-g005.tif"/>
</fig>
<p>In CD19<sup>+</sup>CD27<sup>+</sup> healthy control B cells, CpG-ODN and anti-CD40 stimulation significantly increased ROS production (p &lt; 0.0001 and p &lt; 0.05, respectively) (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5A</bold>
</xref>iii). This was not the case for anti-BCR stimulation. Like that observed in CD19<sup>+</sup>CD27<sup>&#x2212;</sup> B cells, IL-21 diminished ROS production induced by anti-BCR (p &lt; 0.05) (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5A</bold>
</xref>iii). In any case, CD19<sup>+</sup>CD27<sup>+</sup> B cells from healthy controls exhibited strongly higher ROS levels than CD19<sup>+</sup>CD27<sup>&#x2212;</sup> B cells with all stimuli and combinations used (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2B</bold>
</xref>i).</p>
<p>The behavior of CD19<sup>+</sup>CD27<sup>&#x2212;</sup> and CD19<sup>+</sup>CD27<sup>+</sup> B cells regarding ROS production upon stimulation was similar between CVID patients and healthy controls (<xref ref-type="fig" rid="f5">
<bold>Figures&#xa0;5A</bold>
</xref>i&#x2013;iv). However, CD19<sup>+</sup>CD27<sup>&#x2212;</sup> CVID B cells showed a lower ROS fold increase compared to healthy controls when stimulated with CpG-ODN, anti-BCR+IL-21, and anti-BCR+anti-CD40 (p &lt; 0.01, p &lt; 0.01, and p &lt; 0.05, respectively) (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5B</bold>
</xref>i). Anti-BCR+IL-21 induced a significant decrease in ROS production by CD19<sup>+</sup>CD27<sup>+</sup> CVID B cells (p &lt; 0.0001) (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5A</bold>
</xref>iv), which resulted in a higher fold decrease compared to healthy controls (p &lt; 0.05) (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5B</bold>
</xref>ii).</p>
<p>We found a negative correlation between percentages of dead cells and ROS levels (p &lt; 0.001) in CVID CD19<sup>+</sup>CD27<sup>+</sup> B cells (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure&#xa0;1C</bold>
</xref>ii).</p>
</sec>
<sec id="s3_3">
<label>3.3</label>
<title>Autophagy levels and autophagic flux in na&#xef;ve and memory B cells from healthy controls and CVID patients</title>
<p>In na&#xef;ve (CD19<sup>+</sup>CD27<sup>&#x2212;</sup>) and memory (CD19<sup>+</sup>CD27<sup>+</sup>) B-cell subsets from healthy controls and CVID patients, we evaluated basal autophagy levels and autophagic flux as described in the Autophagy section of the Materials and Methods (<xref ref-type="fig" rid="f3">
<bold>Figures&#xa0;3A</bold>
</xref>i, ii).</p>
<p>Unstimulated CD19<sup>+</sup>CD27<sup>&#x2212;</sup> B cells from healthy controls displayed similar levels of autophagic flux to CD19<sup>+</sup>CD27<sup>+</sup> control B cells (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3B</bold>
</xref>i). Unlike healthy controls, CD19<sup>+</sup>CD27<sup>+</sup> from CVID patients exhibited higher autophagic flux compared to CD19<sup>+</sup>CD27<sup>&#x2212;</sup> CVID B cells (p &lt; 0.0001) (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3B</bold>
</xref>ii).</p>
<p>Both unstimulated CD19<sup>+</sup>CD27<sup>&#x2212;</sup> and CD19<sup>+</sup>CD27<sup>+</sup> B cells from CVID patients showed increased levels of basal autophagy compared to healthy control counterparts (p &lt; 0.001 and p &lt; 0.0001) (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3C</bold>
</xref>). Likewise, autophagic flux was higher in CD19<sup>+</sup>CD27<sup>+</sup> CVID B cells compared to healthy controls (p &lt; 0.05) (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3D</bold>
</xref>).</p>
<p>Anti-BCR strongly increased autophagic flux in both CD19<sup>+</sup>CD27<sup>&#x2212;</sup> and CD19<sup>+</sup>CD27<sup>+</sup> B cells from healthy controls (p &lt; 0.0001 and p &lt; 0.0001) (<xref ref-type="fig" rid="f6">
<bold>Figures&#xa0;6A</bold>
</xref>i, iii). The increase was more pronounced in CD19<sup>+</sup>CD27<sup>+</sup> than CD19<sup>+</sup>CD27<sup>&#x2212;</sup> subpopulation (p &lt; 0.0001) (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3B</bold>
</xref>i). In CD19<sup>+</sup>CD27<sup>&#x2212;</sup> B cells, the addition of IL-21 increased autophagic flux when combined with anti-BCR or anti-CD40, compared to those stimuli alone (p &lt; 0.01 and p &lt; 0.0001, respectively), whereas in CD19<sup>+</sup>CD27<sup>+</sup> B cells, IL-21 only increased autophagic flux when combined with anti-CD40 (p &lt; 0.05) (<xref ref-type="fig" rid="f6">
<bold>Figures&#xa0;6A</bold>
</xref>i, iii). Conversely, CpG-ODN alone reduced autophagic flux in CD19<sup>+</sup>CD27<sup>&#x2212;</sup> B cells (p &lt; 0.01) (<xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6A</bold>
</xref>i). Likewise, CpG-ODN decreased autophagic flux induced by anti-BCR in both CD19<sup>+</sup>CD27<sup>&#x2212;</sup> and CD19<sup>+</sup>CD27<sup>+</sup> B cells (p &lt; 0.01 and p &lt; 0.05, respectively) (<xref ref-type="fig" rid="f6">
<bold>Figures&#xa0;6A</bold>
</xref>i, iii).</p>
<fig id="f6" position="float">
<label>Figure&#xa0;6</label>
<caption>
<p>Autophagic flux in stimulated B-cell subpopulations from healthy controls and common variable immunodeficiency (CVID) patients. <bold>(A)</bold> Autophagic flux of na&#xef;ve CD19<sup>+</sup>CD27<sup>&#x2212;</sup> (i) and (ii) and memory CD19<sup>+</sup>CD27<sup>+</sup> (iii) and (iv) B cells in healthy controls (i) and (iii) and CVID patients (ii) and (iv) after 24 h of culture without or with stimulation with anti-BCR, anti-CD40, CpG-ODN, anti-BCR+IL-21, anti-CD40+IL-21, anti-BCR+CpG-ODN, or anti-BCR+anti-CD40. <bold>(B)</bold> Fold increase in autophagic flux induced by each single stimulus or combination, related to unstimulated sample in (i) na&#xef;ve CD19<sup>+</sup>CD27<sup>&#x2212;</sup> and (ii) memory CD19<sup>+</sup>CD27<sup>+</sup> B cells from healthy controls and CVID patients. Each dot represents an individual. Green dots (na&#xef;ve CD19<sup>+</sup>CD27<sup>&#x2212;</sup>) and purple color (memory CD19<sup>+</sup>CD27<sup>+</sup>); empty dots (healthy controls) and filled dots (CVID patients). Black horizontal lines illustrate the median of the group. <bold>(A)</bold> Wilcoxon test p<italic>-</italic>values: *p &lt; 0.05; **p &lt; 0.01; ***p &lt; 0.001; ****p &lt; 0.0001; <sup>#</sup>p &lt; 0.05; <sup>##</sup>p &lt; 0.01; <sup>####</sup>p &lt; 0.0001 (&#x201c;*&#x201d; refers to p-value of samples stimulated with a single stimulus compared to unstimulated sample; &#x201c;#&#x201d; refers to p-value stimulus combinations compared to single stimulus)). <bold>(B)</bold> Mann&#x2013;Whitney test p<italic>-</italic>values: *p &lt; 0.05.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-15-1362995-g006.tif"/>
</fig>
<p>The abovementioned results were similar in CVID patients regarding the induction of autophagic flux and the differential behavior of CD19<sup>+</sup>CD27<sup>&#x2212;</sup> and CD19<sup>+</sup>CD27<sup>+</sup> control B cells in response to distinct stimuli (<xref ref-type="fig" rid="f6">
<bold>Figures&#xa0;6A</bold>
</xref>i&#x2013;iv). However, when we compared the fold increase in autophagy between CVID patients and healthy control B cells, we found a significantly higher fold increase in autophagic flux in CD19<sup>+</sup>CD27<sup>&#x2212;</sup> CVID B cells stimulated with anti-CD40 (p &lt; 0.05) (<xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6B</bold>
</xref>i). No differences were found for CD19<sup>+</sup>CD27<sup>+</sup> CVID B cells (<xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6B</bold>
</xref>ii).</p>
</sec>
<sec id="s3_4">
<label>3.4</label>
<title>Principal component analysis of the experimental variables, <italic>in vitro</italic> cell death, and B-cell deficiency</title>
<p>Next, we aimed to explore, by PCA, the potential relationships between the studied experimental variables related to B-cell metabolism and <italic>in vitro</italic> basal cell death (expressed as a percentage of SYTOX<sup>+</sup> cells) and the degree of B-cell deficiency in our cohort of CVID patients.</p>
<p>The PCA performed in CD19<sup>+</sup>CD27<sup>&#x2212;</sup> na&#xef;ve B cells (<xref ref-type="fig" rid="f7">
<bold>Figure&#xa0;7A</bold>
</xref>) showed two principal components characterized by ROS production and autophagy [clustered in principal component 1 (PC1)] and mitochondrial dysfunction [clustered in principal component 2 (PC2)]. In this PCA, the only remarkable result observed was a moderate positive correlation between ROS production and autophagy, which formed medium acute angles (<xref ref-type="fig" rid="f7">
<bold>Figure&#xa0;7A</bold>
</xref>). As expected, the contribution of CD19<sup>+</sup>CD27<sup>&#x2212;</sup> na&#xef;ve B cells <italic>in vitro</italic> basal cell death was irrelevant in the prediction model calculation (loading values of 0.273 and &#x2212;0.042 in PC1 and PC2, respectively; <xref ref-type="fig" rid="f7">
<bold>Figure&#xa0;7A</bold>
</xref>). The B-cell deficiency degree showed a moderate positive correlation with mitochondrial dysfunction and autophagy; however, its loading value was very low in PC1 and slightly exceeded the proposed cut-off in PC2 (0.195 and 0.525, respectively, in <xref ref-type="fig" rid="f7">
<bold>Figure&#xa0;7A</bold>
</xref>).</p>
<fig id="f7" position="float">
<label>Figure&#xa0;7</label>
<caption>
<p>Principal component analysis (PCA) of experimental variables related to B-cell metabolism, &#x201c;<italic>in vitro</italic>&#x201d; B-cell death, and the degree of B-cell deficiency in our cohort of common variable immunodeficiency (CVID) patients. Loading plot of the first two principal components (PC1 and PC2) in na&#xef;ve CD19<sup>+</sup>CD27<sup>&#x2212;</sup> <bold>(A)</bold> and memory CD19<sup>+</sup>CD27<sup>+</sup> <bold>(B)</bold> B-cell subpopulations. M., R., and <bold>(A)</bold> refer to dysfunctional mitochondria (green), reactive oxygen species (ROS) production (red), and autophagy (blue) variables, respectively.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-15-1362995-g007.tif"/>
</fig>
<p>Next, the PCA performed with data from CD19<sup>+</sup>CD27<sup>+</sup> memory B cells (<xref ref-type="fig" rid="f7">
<bold>Figure&#xa0;7B</bold>
</xref>) yielded two principal components clearly shaped by ROS production and mitochondrial dysfunction in PC1 and autophagy in PC2. In this PCA, autophagy and mitochondrial function were apparently unrelated to them (nearly 90&#xb0; angles formed) and, interestingly, showed a high negative correlation with ROS production (great obtuse angles formed). This was in accordance with the lower levels of ROS production and higher levels of autophagy previously demonstrated in CD19<sup>+</sup>CD27<sup>+</sup> memory B cells from CVID patients (<xref ref-type="fig" rid="f2">
<bold>Figures&#xa0;2C</bold>
</xref>, <xref ref-type="fig" rid="f3">
<bold>3C, D</bold>
</xref>, respectively). Moreover, CD19<sup>+</sup>CD27<sup>+</sup> memory B cells <italic>in vitro</italic> basal cell death and B-cell deficiency degree clustered in PC1 (with ROS production and mitochondrial function) with high significant loading values (0.827 and 0.614, respectively, <xref ref-type="fig" rid="f7">
<bold>Figure&#xa0;7B</bold>
</xref>). Interestingly, the PCA in CD19<sup>+</sup>CD27<sup>+</sup> memory B cells demonstrated a well-defined negative correlation between ROS production and either the <italic>in vitro</italic> basal cell death or the B-cell deficiency degree, given the nearly 180&#xb0; angle that they formed (<xref ref-type="fig" rid="f7">
<bold>Figure&#xa0;7B</bold>
</xref>).</p>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<label>4</label>
<title>Discussion</title>
<p>ROS production, mitochondrial function, and autophagy are crucial for determining B-cell fate (<xref ref-type="bibr" rid="B31">31</xref>) and have been widely studied in mice. However, the interplay between these processes remains poorly investigated in human B cells. CVID patients present with deficient generation of memory B cells and antibody-secreting cells that are essential for the development of humoral immune responses.</p>
<p>The present study aimed to evaluate the interaction of mitochondrial function (mitochondrial membrane potential and mitochondrial mass), ROS production, and autophagy in na&#xef;ve CD19<sup>+</sup>CD27<sup>&#x2212;</sup> and memory CD19<sup>+</sup>CD27<sup>+</sup> B-cell subsets from healthy controls. Considering our previous results showing an imbalance in mitochondrial apoptosis regulation in memory B cells from CVID patients and an increased susceptibility to activation-induced apoptosis (<xref ref-type="bibr" rid="B27">27</xref>, <xref ref-type="bibr" rid="B28">28</xref>), we also studied if alterations in these processes in CVID B-cell subpopulations could influence their fate and be the cause of their lack of differentiation in CVID patients.</p>
<p>Memory B cells differ from na&#xef;ve B cells in important aspects including a lower threshold for activation, greater proliferative capacity, or survival period (<xref ref-type="bibr" rid="B32">32</xref>&#x2013;<xref ref-type="bibr" rid="B35">35</xref>). Consistently, we found that healthy controls CD19<sup>+</sup>CD27<sup>&#x2212;</sup> and CD19<sup>+</sup>CD27<sup>+</sup> B cells differentially depend on these studied processes for homeostasis. In unstimulated cell cultures, we found higher amounts of cells with dysfunctional mitochondria in CD19<sup>+</sup>CD27<sup>&#x2212;</sup> than in CD19<sup>+</sup>CD27<sup>+</sup> B cells that, at the same time, displayed strongly lower ROS levels, despite showing similar autophagic flux.</p>
<p>ROS production plays a fundamental cellular dual role. At low levels, ROS act as second messengers essential in signal transduction. However, at high levels, ROS can cause organelle oxidative damage, particularly in mitochondria. ROS production increases when B cells are activated, playing a role as second messengers during B-cell activation and differentiation (<xref ref-type="bibr" rid="B31">31</xref>). In response to BCR stimulation, ROS production occurs in two waves: an early increase, within minutes upon stimulation, and a second wave of &#x201c;mitochondrial&#x201d; ROS production occurring at a later point (6&#x2013;24 h) (<xref ref-type="bibr" rid="B36">36</xref>, <xref ref-type="bibr" rid="B37">37</xref>). Wheeler et&#xa0;al. described that this late-phase ROS production is crucial for mouse spleen B-cell activation and survival. We evaluated this second and essential wave by studying healthy control B-cell subpopulation ROS production after 24-h stimulation. As expected, CD19<sup>+</sup>CD27<sup>&#x2212;</sup> B cells increased ROS production when stimulated with all single stimuli and their combinations, while CD19<sup>+</sup>CD27<sup>+</sup> B cells, according to their lower threshold of activation, showed a moderate increase in ROS production (<xref ref-type="bibr" rid="B34">34</xref>, <xref ref-type="bibr" rid="B35">35</xref>).</p>
<p>Mitochondria are the main source of ROS in the cell, and high ROS levels have been related to mitochondrial dysfunction (<xref ref-type="bibr" rid="B38">38</xref>). Surprisingly, there was a higher percentage of healthy CD19<sup>+</sup>CD27<sup>&#x2212;</sup> B cells with dysfunctional mitochondria than healthy CD19<sup>+</sup>CD27<sup>+</sup>, contrasting with their lower ROS levels. We found that different stimuli exerted a different effect on these processes. CpG-ODN was the stimulus that induced a higher increase of cells with dysfunctional mitochondria and ROS production in both healthy CD19<sup>+</sup>CD27<sup>&#x2212;</sup> and CD19<sup>+</sup>CD27<sup>+</sup> B cells, supporting that mitochondria are the main source of ROS production in our model. We also observed that the effect of the stimuli was dependent on the cell type. Anti-BCR induced ROS production but decreased the percentage of cells with dysfunctional mitochondria in healthy control CD19<sup>+</sup>CD27<sup>&#x2212;</sup> cells, whereas it increased dysfunctional mitochondria, not increasing ROS production, in CD19<sup>+</sup>CD27<sup>+</sup> B cells.</p>
<p>Autophagy is a cytoprotective pathway that protects cells from stressed conditions. However, disruption of autophagic mechanisms or excessive stress-induced autophagy, particularly by oxidative stress, may lead to &#x201c;autophagic cell death&#x201d; (<xref ref-type="bibr" rid="B39">39</xref>, <xref ref-type="bibr" rid="B40">40</xref>). Memory B cells, as na&#xef;ve B cells, are quiescent before antigen activation and their differentiation into antibody-secreting cells. Accordingly, resting healthy na&#xef;ve and memory B cells had similar autophagy levels and autophagic flux. BCR stimulation and B-cell activation promote autophagy (<xref ref-type="bibr" rid="B16">16</xref>, <xref ref-type="bibr" rid="B23">23</xref>). Consequently, anti-BCR and anti-BCR+IL-21 were the stimuli that induced higher autophagy levels in both CD19<sup>+</sup>CD27<sup>&#x2212;</sup> and CD19<sup>+</sup>CD27<sup>+</sup> healthy B cells. CpG-ODN reduced autophagy in CD19<sup>+</sup>CD27<sup>&#x2212;</sup> and had no effect on CD19<sup>+</sup>CD27<sup>+</sup> B cells, confirming the specific action of stimuli and the different cell type responses.</p>
<p>When CVID patients were studied, we found that unstimulated CD19<sup>+</sup>CD27<sup>&#x2212;</sup> CVID B cells exhibited a higher percentage of cells with dysfunctional mitochondria, lower ROS levels, but in a different way than healthy cells, and less autophagy compared to CD19<sup>+</sup>CD27<sup>+</sup> CVID B cells. Moreover, dysfunctional mitochondria, ROS production, and autophagy were higher in both unstimulated and stimulated CD19<sup>+</sup>CD27<sup>&#x2212;</sup> CVID B cells than in their healthy counterparts, which was significant with certain stimuli. Concerning CD19<sup>+</sup>CD27<sup>+</sup> CVID B cells, there was a lower ROS production and higher levels of dysfunctional mitochondria and autophagy than their healthy counterparts.</p>
<p>B cells from CVID patients displayed a ROS dysregulation compared to their healthy counterparts. Na&#xef;ve B cells from CVID patients had higher basal ROS levels than controls, but interestingly, the ROS fold increase after stimulation was lower and never reached the same levels achieved by control B cells. Although ROS are required for B-cell activation and maturation, excessive ROS lead to oxidative stress (<xref ref-type="bibr" rid="B21">21</xref>, <xref ref-type="bibr" rid="B22">22</xref>). Therefore, in CD19<sup>+</sup>CD27<sup>&#x2212;</sup> CVID B cells, the combination of high levels of basal ROS with their lower increase after stimulation suggests a ROS dysregulation that can result in dampened cell signaling. This could be detrimental to CVID na&#xef;ve B-cell activation and differentiation to memory B cells.</p>
<p>Additionally, CVID patients&#x2019; CD19<sup>+</sup>CD27<sup>+</sup> B-cell compartment had lower ROS basal levels and even a significant decrease in ROS production after anti-BCR+IL-21 stimulation, compared to healthy controls. In keeping with this, in a previous study, we demonstrated that CD19<sup>+</sup>CD27<sup>+</sup> CVID B cells failed to upregulate anti-apoptotic Bcl-2 and Bcl-XL after anti-BCR+IL-21 stimulation (<xref ref-type="bibr" rid="B28">28</xref>). Interestingly, the dysfunction of ROS generation has been correlated with the reduction of memory B-cell compartment in chronic granulomatous disease (<xref ref-type="bibr" rid="B41">41</xref>). The decreased levels of ROS found in CD19<sup>+</sup>CD27<sup>+</sup> B cells could be detrimental, leading to their premature death. We previously reported an increased CVID basal level of Bax and Bim that correlated with low viability and high Caspase-3 activation only in CVID memory CD19<sup>+</sup>CD27<sup>+</sup> B cells (<xref ref-type="bibr" rid="B28">28</xref>). In keeping with these, we found a negative correlation between ROS production and <italic>in vitro</italic> cellular death in unstimulated CD19<sup>+</sup>CD27<sup>+</sup> CVID B cells that were not found in their healthy counterpart (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figures&#xa0;1C</bold>
</xref>i, ii), indicating that dysregulation of ROS balance contributes to the fact that peripheral CVID memory B cells are prompted to die from apoptosis.</p>
<p>As previously mentioned, autophagy plays a crucial role in B-cell activation, and BCR stimulation promotes autophagy and triggers apoptosis if B cells are not co-stimulated with a second signal (<xref ref-type="bibr" rid="B16">16</xref>, <xref ref-type="bibr" rid="B23">23</xref>). CVID B cells exhibited higher basal autophagy levels in both CD19<sup>+</sup>CD27<sup>&#x2212;</sup> and CD19<sup>+</sup>CD27<sup>+</sup> B subpopulations than their healthy counterparts; moreover, CD19<sup>+</sup>CD27<sup>+</sup> CVID B cells also showed higher autophagic flux. CVID B cells also exhibited higher autophagic flux levels than their healthy counterparts when stimulated with most of the stimuli. Hence, excessive autophagy reported in CVID memory B cells could reflect the loss of cellular homeostasis and be detrimental to their survival.</p>
<p>PCA allowed us to link the studied metabolic experimental variables to <italic>in vitro</italic> B-cell death and B-cell deficiency. The analysis showed a different interaction of the evaluated metabolic variables in na&#xef;ve CD19<sup>+</sup>CD27<sup>&#x2212;</sup> and memory CD19<sup>+</sup>CD27<sup>+</sup> B cells. In na&#xef;ve B cells, ROS production and autophagy clustered in the same component with a slightly positive correlation. Moreover, <italic>in vitro</italic> na&#xef;ve cell death and B-cell deficiency degree variables had no relevance in the PCA model. Even though na&#xef;ve CVID B cells presented an alteration in ROS levels and production that could condition their differentiation, the PCA suggested that the production of ROS and the autophagy process compensate each other, which leads to cell survival. In fact, there was no higher <italic>in vitro</italic> cell death in CVID na&#xef;ve B cells compared to healthy controls (<xref ref-type="bibr" rid="B28">28</xref>) (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure&#xa0;1B</bold>
</xref>i).</p>
<p>However, we found that increased CVID memory B-cell death negatively correlated with ROS production (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figures&#xa0;1B</bold>
</xref>ii, <xref ref-type="supplementary-material" rid="SM1">
<bold>C</bold>
</xref>ii). In PCA of memory B cells, ROS production, and autophagy were clearly &#x201c;opposed&#x201d; (they were placed in different components and formed open angles). Moreover, <italic>in vitro</italic> memory B-cell death and B-cell deficiency degree variables were relevant in the model (high loading), positively correlating with autophagy and negatively correlating with ROS production. The analysis indicates that, in this case, ROS level reduction occurs at the expense of uncontrolled autophagy that, finally, induces cell death.</p>
<p>As a limitation of this work, we should mention the lack of whole-exome/genome sequencing data of our cohort of patients. It would be interesting to extend the study to a larger patient sample and try to correlate these findings with possible underlying mutations.</p>
<p>In summary, we have found that na&#xef;ve and memory healthy B cells differentially depend on mitochondrial function, ROS production, and autophagy for their integrity and function. CVID B-cell subpopulations show a loss of cellular homeostasis. An excessive autophagic flux, higher levels of dysfunctional mitochondria, and an alteration in ROS levels could affect the differentiation of CVID na&#xef;ve into memory B cells while conditioning a higher susceptibility of CVID memory B cells to premature death. The final consequence is a failure in the generation of a functional B-cell compartment in CVID patients.</p>
</sec>
<sec id="s5" sec-type="data-availability">
<title>Data availability statement</title>
<p>The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.</p>
</sec>
<sec id="s6" sec-type="ethics-statement">
<title>Ethics statement</title>
<p>The studies involving humans were approved by Balearic Islands Clinical Research Ethics Committee (approval with reference: IB 4322/20). 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="s7" sec-type="author-contributions">
<title>Author contributions</title>
<p>MB-R: Investigation, Methodology, Visualization, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing, Data curation, Formal analysis, Software. VC: Investigation, Methodology, Supervision, Validation, Visualization, Writing &#x2013; review &amp; editing, Formal analysis. AC: Investigation, Formal analysis, Visualization, Writing &#x2013; review &amp; editing. AL-G: Investigation, Writing &#x2013; review &amp; editing, Methodology. JP: Project administration, Writing &#x2013; review &amp; editing, Resources. JF: Writing &#x2013; review &amp; editing, Conceptualization, Funding acquisition, Project administration, Supervision, Visualization, Writing &#x2013; original draft.</p>
</sec>
</body>
<back>
<sec id="s8" sec-type="funding-information">
<title>Funding</title>
<p>The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This work has been funded by the Instituto de Salud Carlos III through the project "PI19/00825" (co-funded by Fondo Europeo de Desarrollo Regional (FEDER)). The work of MB-R has been supported by a grant (JUNIOR19/02) from the Health Research Institute of the Balearic Islands (IdISBa). The work of AC has been funded by the Instituto de Salud Carlos III through a Miguel Servet contract (PI23/00151) and co-funded by the European Union.</p>
</sec>
<ack>
<title>Acknowledgments</title>
<p>We would like to thank the patients and their families as well as the nursing staff of the Day Hospital of Son Espases University Hospital.</p>
</ack>
<sec id="s9" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="s10" sec-type="disclaimer">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<sec id="s11" 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.2024.1362995/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fimmu.2024.1362995/full#supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="DataSheet_1.zip" id="SM1" mimetype="application/zip"/>
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