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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.2025.1634146</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>A novel homozygous frameshift mutation likely causing nonsense-mediated mRNA decay in an Algerian kindred with CD19 complex deficiency</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Belaid</surname>
<given-names>Brahim</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>Chan</surname>
<given-names>Koon-Wing</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Lamara Mahammed</surname>
<given-names>Lydia</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1307097/overview"/>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Leung</surname>
<given-names>Daniel</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/952425/overview"/>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Makhloufi</surname>
<given-names>Sara</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Bendaoud</surname>
<given-names>Fadila</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
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<contrib contrib-type="author">
<name>
<surname>Sakhri</surname>
<given-names>Hassiba</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Berkani</surname>
<given-names>Lilya Meriem</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/3076726/overview"/>
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<contrib contrib-type="author">
<name>
<surname>Allam</surname>
<given-names>Ines</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
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<contrib contrib-type="author">
<name>
<surname>Merah</surname>
<given-names>Fatma</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
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<contrib contrib-type="author">
<name>
<surname>Baaziz</surname>
<given-names>Hadda</given-names>
</name>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
<xref ref-type="aff" rid="aff6">
<sup>6</sup>
</xref>
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<contrib contrib-type="author">
<name>
<surname>Lo</surname>
<given-names>Bernice</given-names>
</name>
<xref ref-type="aff" rid="aff7">
<sup>7</sup>
</xref>
<xref ref-type="aff" rid="aff8">
<sup>8</sup>
</xref>
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<contrib contrib-type="author">
<name>
<surname>Rosa Duque</surname>
<given-names>Jaime Sou</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1607300/overview"/>
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</contrib>
<contrib contrib-type="author" equal-contrib="yes" corresp="yes">
<name>
<surname>Lau</surname>
<given-names>Yu Lung</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<xref ref-type="author-notes" rid="fn003">
<sup>&#x2020;</sup>
</xref>
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<contrib contrib-type="author" equal-contrib="yes" corresp="yes">
<name>
<surname>Djidjik</surname>
<given-names>Reda</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>
<xref ref-type="author-notes" rid="fn003">
<sup>&#x2020;</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/109268/overview"/>
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<aff id="aff1">
<sup>1</sup>
<institution>Department of medical immunology, Beni Messous University Hospital Center</institution>, <addr-line>Algiers</addr-line>,&#xa0;<country>Algeria</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Faculty of Pharmacy, The University of Health Sciences</institution>, <addr-line>Algiers</addr-line>,&#xa0;<country>Algeria</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Department of Pediatrics and Adolescent Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong</institution>, <addr-line>Hong Kong</addr-line>, <country>Hong Kong SAR, China</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>Department of pediatrics, Batna Women&#x2019;s &amp; Children&#x2019;s Hospital</institution>, <addr-line>Batna</addr-line>,&#xa0;<country>Algeria</country>
</aff>
<aff id="aff5">
<sup>5</sup>
<institution>Faculty of Medicine, The University of Batna</institution>, <addr-line>Batna</addr-line>,&#xa0;<country>Algeria</country>
</aff>
<aff id="aff6">
<sup>6</sup>
<institution>Department of Pediatrics, Batna University Hospital Center</institution>, <addr-line>Batna</addr-line>,&#xa0;<country>Algeria</country>
</aff>
<aff id="aff7">
<sup>7</sup>
<institution>Research Branch, Sidra Medicine</institution>, <addr-line>Doha</addr-line>,&#xa0;<country>Qatar</country>
</aff>
<aff id="aff8">
<sup>8</sup>
<institution>College of Health and Life Sciences, Hamad Bin Khalifa University</institution>, <addr-line>Doha</addr-line>,&#xa0;<country>Qatar</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/199211/overview">Bertrand Boisson</ext-link>, The Rockefeller University, United States</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/406666/overview">Janet Markle</ext-link>, Vanderbilt University Medical Center, United States</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/3090591/overview">Serkan Kuccukturk</ext-link>, Karamanoglu Mehmetbey University Faculty of Medicine, T&#xfc;rkiye</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Yu Lung Lau, <email xlink:href="mailto:lauylung@hku.hk">lauylung@hku.hk</email>; Reda Djidjik, <email xlink:href="mailto:r.djidjik@univ-alger.dz">r.djidjik@univ-alger.dz</email>
</p>
</fn>
<fn fn-type="equal" id="fn003">
<p>&#x2020;These authors have contributed equally to this work and share senior authorship</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>05</day>
<month>09</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<volume>16</volume>
<elocation-id>1634146</elocation-id>
<history>
<date date-type="received">
<day>23</day>
<month>05</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>18</day>
<month>08</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2025 Belaid, Chan, Lamara Mahammed, Leung, Makhloufi, Bendaoud, Sakhri, Berkani, Allam, Merah, Baaziz, Lo, Rosa Duque, Lau and Djidjik.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Belaid, Chan, Lamara Mahammed, Leung, Makhloufi, Bendaoud, Sakhri, Berkani, Allam, Merah, Baaziz, Lo, Rosa Duque, Lau and Djidjik</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<sec>
<title>Background</title>
<p>CD19 is an essential component of a membrane protein complex on B cells, which also includes complement receptor 2 (CD21), CD81, and CD225. It amplifies B cell receptor (BCR) signaling by recruiting regulatory molecules and facilitating the phosphorylation of key kinases. Mutations in the <italic>CD19</italic> gene disrupt the integrity of this complex and impair BCR signaling, ultimately leading to antibody deficiency.</p>
</sec>
<sec>
<title>Purpose</title>
<p>we report here a novel mutation in the <italic>CD19</italic> gene in two patients from consanguineous Algerian kindred.</p>
</sec>
<sec>
<title>Methods</title>
<p>We conducted a comprehensive analysis of the clinical, genetic, and immunological characteristics of two siblings with CD19 deficiency.</p>
</sec>
<sec>
<title>Results</title>
<p>Both siblings began experiencing upper and lower respiratory tract infections in early childhood. Over time, the older sibling developed recurrent fungal and viral skin infections, as well as episodes of pyelonephritis. Whole exome sequencing identified a novel homozygous mutation in the <italic>CD19</italic> gene, leading to an out-of-frame translation predicted to trigger nonsense-mediated decay and result in absent gene expression. Flow cytometry revealed a complete absence of CD19 and reduced CD21 expression on CD20<sup>+</sup> B cells in both siblings, while CD81 expression remained normal. Despite normal total peripheral B cell counts, the older patient exhibited reduced memory B cells. Additionally, both patients displayed circulating autoantibodies and an increased frequency of circulating follicular helper T cells.</p>
</sec>
<sec>
<title>Conclusion</title>
<p>These findings highlight the critical role of CD19 not only in the initial activation of B lymphocytes by T-dependent antigens, but also in the maturation and/or selection of activated B cells within the memory compartment.</p>
</sec>
</abstract>
<kwd-group>
<kwd>primary antibody deficiency</kwd>
<kwd>CD19</kwd>
<kwd>CD21</kwd>
<kwd>CD81</kwd>
<kwd>B lymphocyte</kwd>
</kwd-group>
<counts>
<fig-count count="4"/>
<table-count count="2"/>
<equation-count count="0"/>
<ref-count count="52"/>
<page-count count="17"/>
<word-count count="7357"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-in-acceptance</meta-name>
<meta-value>Primary Immunodeficiencies</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<title>Introduction</title>
<p>CD19 is a B cell surface antigen and glycoprotein that is broadly expressed throughout B cell development&#x2014;from early progenitor stages to terminal differentiation into plasma cells (<xref ref-type="bibr" rid="B1">1</xref>). It is encoded by the <italic>CD19</italic> gene, located on the short arm of chromosome 16 (16p11.2) (<xref ref-type="bibr" rid="B1">1</xref>, <xref ref-type="bibr" rid="B2">2</xref>). CD19 functions as a core component of a multimolecular membrane complex, along with CD21, CD81, and CD225, which is expressed on mature B lymphocytes (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>). Signaling through this complex is essential for B cell development, differentiation, and maturation (<xref ref-type="bibr" rid="B1">1</xref>, <xref ref-type="bibr" rid="B3">3</xref>). Structurally, CD19 is a 95-kDa type I transmembrane glycoprotein belonging to the immunoglobulin superfamily. It contains two extracellular Ig C2-like domains and a large cytoplasmic tail of approximately 240 amino acids, which harbors at least nine tyrosine residues&#x2014;several of which are crucial for mediating downstream signaling events (<xref ref-type="bibr" rid="B1">1</xref>, <xref ref-type="bibr" rid="B4">4</xref>&#x2013;<xref ref-type="bibr" rid="B6">6</xref>).</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Structure of the B cell receptor (BCR)&#x2013;CD19 complex and proposed mechanisms by which the CD21/CD19 co-receptor complex amplifies BCR signaling. Co-ligation of the B cell receptor (BCR) and the CD21&#x2013;CD19 complex by a C3d&#x2013;antigen complex enables a Src-family tyrosine kinase associated with CD79 to phosphorylate specific tyrosine residues within the cytoplasmic domain of CD19. Phosphorylated CD19 then serves as a scaffold to recruit key SH2 domain&#x2013;containing signaling molecules to the BCR complex, thereby amplifying and propagating the initial BCR-mediated signal through multiple intracellular signaling cascades. Created in BioRender. djidjik, r. (2025) <ext-link ext-link-type="uri" xlink:href="https://BioRender.com/m0dksll">https://BioRender.com/m0dksll</ext-link>.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-16-1634146-g001.tif">
<alt-text content-type="machine-generated">Diagram illustrating the B cell receptor signaling pathway. Key components include BCR, CD21, CD19, and CD81 on the membrane. Signaling molecules such as ITAM, PTK, Syk, PI3K, and Vav lead to activation of pathways involving PIP3, BTK, PLC&#x3b3;2, IP3, PKC, and mTOR. This results in calcium flux and transcription factors NF-&#x3ba;B and NFAT entering the nucleus.</alt-text>
</graphic>
</fig>
<p>The CD19 complex acts as a crucial co-stimulatory element during antigen recognition via the B cell receptor (BCR). It also bridges innate and adaptive immunity by enhancing B cell activation and promoting adaptive immune responses through complement-dependent opsonization (<xref ref-type="bibr" rid="B7">7</xref>). Co-ligation of CD21 and the BCR has been shown to significantly enhance BCR signaling. Although CD21 possesses only a short cytoplasmic tail, it is the long intracellular domain of CD19 that serves as the primary transducer of downstream signals, ultimately promoting B cell activation and proliferation. Consequently, antigens opsonized with complement fragment C3d&#x2014;which engage both CD21 and the BCR&#x2014;can amplify signaling cascades by transmitting activation signals through CD19 (<xref ref-type="bibr" rid="B8">8</xref>).</p>
<p>Over the past three decades, a limited number of individuals have been reported with genetic defects in the <italic>CD19</italic> gene, resulting in impaired B cell differentiation and function, and leading to an autosomal recessive form of hypogammaglobulinemia that closely resembles common variable immunodeficiency (CVID) (<xref ref-type="bibr" rid="B9">9</xref>, <xref ref-type="bibr" rid="B10">10</xref>). In addition, mutations in the <italic>CD21</italic> and <italic>CD81</italic> genes&#x2014;due to their essential roles in the assembly and function of the CD19 complex&#x2014;can also lead to defective antibody production, primarily as a result of inadequate antigen responses and impaired immunological memory (<xref ref-type="bibr" rid="B11">11</xref>&#x2013;<xref ref-type="bibr" rid="B15">15</xref>). Patients with deficiencies in CD19, CD21, or CD81 share similar clinical and immunological phenotypes, though disease severity can vary. Symptoms typically begin in childhood and most commonly include recurrent upper and lower respiratory tract infections, sometimes accompanied by skin and gastrointestinal infections (<xref ref-type="bibr" rid="B9">9</xref>, <xref ref-type="bibr" rid="B11">11</xref>&#x2013;<xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B16">16</xref>&#x2013;<xref ref-type="bibr" rid="B18">18</xref>). Despite these immune impairments, patients generally have normal numbers of circulating B lymphocytes, marked by CD20 expression, but exhibit little or no CD19 on the B cell surface, along with reduced frequencies of transitional and memory B cells (<xref ref-type="bibr" rid="B18">18</xref>).</p>
<p>Here, we report two siblings harboring a homozygous nucleotide deletion in exon 2 of the <italic>CD19</italic> gene. Premature termination codons may trigger nonsense-mediated mRNA decay (NMD), a surveillance pathway that degrades aberrant transcripts to prevent production of truncated proteins (<xref ref-type="bibr" rid="B19">19</xref>&#x2013;<xref ref-type="bibr" rid="B21">21</xref>). This mechanism likely underlies the lack of CD19 expression observed in our patients. In contrast to previously described cases of CD19 deficiency, neither patient exhibited overt hypogammaglobulinemia, except for a moderate reduction in IgG levels in one sibling who continued to experience recurrent skin infections despite immunoglobulin replacement therapy.</p>
</sec>
<sec id="s2" sec-type="materials|methods">
<title>Materials and methods</title>
<sec id="s2_1">
<title>Clinical evaluation</title>
<p>Clinical and demographic information, including age, sex, and familial relationships, was collected from the two siblings with CD19 deficiency and their parents.</p>
</sec>
<sec id="s2_2">
<title>Blood samples and ethical approval</title>
<p>Peripheral blood samples were obtained from the CD19-deficient siblings, their unaffected siblings and parents, as well as age-matched healthy controls, following informed consent and in accordance with the guidelines approved by the Ethics Committee of the University Medical Center of Beni Messous.</p>
</sec>
<sec id="s2_3">
<title>Serum immunoglobulin determination and autoantibody assays:</title>
<p>Serum immunoglobulin levels (IgG, IgA, IgM) were quantified using nephelometry (BN ProSpec<sup>&#xae;</sup> analyzer; Siemens Healthcare Diagnostics, Marburg, Germany), while serum IgE levels were measured by chemiluminescent immunoassay (CLIA) using the Immulite<sup>&#xae;</sup> 2000 XPi system (Siemens Healthcare Diagnostics, Germany).</p>
<p>Sera (serum samples) were screened for circulating autoantibodies associated with both organ-specific and non-organ-specific autoimmune diseases. Detection was performed qualitatively by indirect immunofluorescence (IIF) and quantitatively by enzyme immunoassays (EIA), including enzyme-linked immunosorbent assay (ELISA) and chemiluminescent immunoassay (CLIA). For connective tissue disease screening, sera were tested for anti-nuclear antibodies (ANAs) using IIF at a 1:80 dilution on HEp-2 cells (INOVA Diagnostics, San Diego, CA, USA) and for IgM rheumatoid factor. Positive ANA patterns were further titrated by serial dilution and analyzed for specific autoantibodies against Ro/SSA (52 and 60 kDa), La/SSB, Sm, Sm/RNP, Scl-70, dsDNA, and Jo-1 using EIA (Quanta-Lyzer 160/240; CA, USA).</p>
<p>For ulcerative colitis and vasculitis, sera were screened for antineutrophil cytoplasmic antibodies (ANCA) by IIF at a 1:20 dilution on human neutrophil slides (INOVA Diagnostics). Coeliac disease screening involved testing IgA anti-tissue transglutaminase (tTG) antibodies on the Alegria analyzer (Orgentec Diagnostika, Mainz, Germany). Autoantibodies associated with autoimmune hepatitis and primary biliary cirrhosis&#x2014;including F-actin, liver-kidney microsomal antigen (LKM), soluble liver antigen (SLA), antimitochondrial antibodies (AMA), GP210, and SP100&#x2014;were measured by ELISA (INOVA Diagnostics, San Diego, CA, USA). For autoimmune thyroiditis, thyroid peroxidase antibodies (TPOAb) and thyroglobulin antibodies (TgAb) were assessed using the Immulite 2000 XPi system (Siemens Healthcare Diagnostics, Germany).</p>
</sec>
<sec id="s2_4">
<title>Flow cytometric immunophenotyping</title>
<p>To characterize the major lymphocyte subsets (T, B, and NK cells), and to analyze the T and B cell compartments along with CD19, CD21, and CD81 expression on B cells, the following monoclonal antibodies (mAbs) were used: CD3 (SK7), CD4 (SK3), CD8 (SK1), CD19 (SJ25C1), CD20 (L27), CD21 (B-ly4), CD24 (ML5), CD25 (M-A251), CD31 (WM59), CD38 (HB7), CD45 (HLe-1), CD45RA (L48), CD56 (NCAM16.2), CD81 (JS-81), CD127 (HIL-7R-M21), CCR7 (IA6-2), IgD (IA6-2), TCR&#x3b1;&#x3b2; (IP26), and FOXP3 (C259D/C7) (all from BD Biosciences); CD16 (3G8), CD45RO (UCHL1), and CD27 (M-T271) (Beckman Coulter); and CXCR5 (51505) (Bio-Techne, R&amp;D Systems Inc.). Detailed antibody panels are provided in <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table S1</bold>
</xref>.</p>
<p>For surface marker analysis, 100 &#xb5;L of whole blood was incubated with monoclonal antibodies for 20 minutes at room temperature in the dark. Red blood cells were lysed, followed by washing. For intracellular staining, cells were fixed, permeabilized, washed, and incubated with the relevant mAbs for 30 minutes before final washing and resuspension in phosphate-buffered saline (PBS). Samples were acquired on a BD FACS Lyric&#x2122; flow cytometer (Becton Dickinson, San Jose, CA, USA) and analyzed using BD FACSuite&#x2122; Software (v2.1) and FlowJo v10.8 (BD Biosciences).</p>
<p>Gating strategies for T cell subsets included: CD4+ naive T cells (CD4+ CD45RA+ CCR7+), central memory (CD4+ CD45RA&#x2013; CCR7+), effector memory (CD4+ CD45RA&#x2013; CCR7&#x2013;), and terminally differentiated effector memory (TEMRA, CD4+ CD45RA+ CCR7&#x2013;); CD8+ naive (CD8+ CD45RA+ CCR7+), central memory (CD8+ CD45RA&#x2013; CCR7+), effector memory (CD8+ CD45RA&#x2013; CCR7&#x2013;), and TEMRA (CD8+ CD45RA+ CCR7&#x2013;) T cells. Regulatory T cells (Tregs) were defined as CD4+ CD25+ CD127 low/&#x2013; FOXP3+, and T follicular helper (Tfh) cells as CD4+ CD45RO+ CXCR5+.</p>
<p>B cell subsets were classified as follows: naive mature B cells (CD20+ CD27&#x2013; IgD+), non-class-switched memory B cells (CD20+ CD27+ IgD+), class-switched memory B cells (CD20+ CD27+ IgD&#x2013;), transitional B cells (CD20+ CD24 hi CD38 hi), plasmablasts (CD20+ CD24&#x2013; CD38 hi), and autoreactive CD21 low CD38 low B cells.</p>
<p>The surface expression of CD19, CD21, and CD81 was assessed in patients, compared to isotype controls, a healthy unrelated control (13-year-old girl), heterozygous carrier parents, and two non-carrier siblings. Treg and Tfh cell frequencies in the two patients and their parents were also compared to five age- and sex-diverse unrelated healthy controls (three females aged 9, 11, and 33 years; two males aged 9 months and 42 years).</p>
</sec>
<sec id="s2_5">
<title>Activation and intracellular cytokine staining</title>
<p>Functionally polarized CD4<sup>+</sup> T cell subsets&#x2014;including type 1 helper T (Th1), Th2, and Th17 effector and/or memory cells&#x2014;are defined by their distinct cytokine secretion profiles. To detect intracellular cytokines, peripheral blood mononuclear cells (PBMCs) were first isolated using a density gradient centrifugation method. PBMCs were stimulated with phorbol 12-myristate 13-acetate (PMA; 50 ng/mL, Sigma-Aldrich) and ionomycin (1 &#x3bc;g/mL, Sigma-Aldrich) in the presence of BD GolgiStop&#x2122; (BD Biosciences), and incubated for 5 hours at 37&#xb0;C with 5% CO<sub>2</sub>.</p>
<p>Following stimulation, cells were fixed using BD Cytofix&#x2122; Fixation Buffer containing formaldehyde (BD Biosciences) for 15 minutes at room temperature, then washed twice with FACS buffer (containing bovine serum albumin and sodium azide). Permeabilization was performed using BD Perm/Wash&#x2122; Buffer (BD Biosciences) for 20 minutes, followed by two additional washes.</p>
<p>Cells were then stained with fluorochrome-conjugated monoclonal antibodies against intracellular cytokines and surface markers, including anti-IFN-&#x3b3; (clone B27), anti-IL-4 (MP4-25D2), anti-IL-17A (N49-653), CD3 (SK7), and CD4 (SK3) (all from BD Biosciences). Data acquisition was performed using a BD FACS Lyric&#x2122; Flow Cytometer and analyzed with BD FACSuite&#x2122; Software v1.2 and FlowJo v10.8 (BD Biosciences).</p>
</sec>
<sec id="s2_6">
<title>Antigen-specific antibody responses</title>
<p>Antibody levels specific to tetanus toxoid, diphtheria toxoid, and pneumococcal capsular polysaccharide (PCP) were quantified using commercial ELISA kits, in accordance with the manufacturers&#x2019; instructions. The following kits were used: VaccZyme&#x2122; Tetanus Toxoid IgG, VaccZyme&#x2122; Diphtheria Toxoid IgG, and VaccZyme&#x2122; PCP IgG (all from The Binding Site Group Ltd, Birmingham, UK).</p>
</sec>
<sec id="s2_7">
<title>
<italic>In vitro</italic> T cell responses</title>
<p>Peripheral blood mononuclear cells (PBMCs) were isolated from heparinized blood samples of patient 1 and an unrelated healthy control (13-year-old female) using Ficoll-Hypaque density gradient centrifugation. A cell suspension of 1 &#xd7; 10<sub>6</sub> PBMCs/mL in phosphate-buffered saline (PBS) containing 0.1% fetal bovine serum (FBS; Invitrogen, Carlsbad, CA, USA) was labeled with 10 &#xb5;M carboxyfluorescein succinimidyl ester (CFSE; Invitrogen) for 10 minutes at 37&#xb0;C in the dark. Following incubation, excess dye was removed by washing.</p>
<p>A total of 3 &#xd7; 10<sub>5</sub> CFSE-labeled PBMCs were seeded into each well of a 12-well flat-bottom culture plate containing RPMI 1640 medium supplemented with 10% FBS, 100 U/mL penicillin, and 100 &#xb5;g/mL streptomycin. Cells were stimulated either with 1 &#xb5;g/mL phytohemagglutinin-M (PHA-M; Sigma-Aldrich) or with anti-CD3/anti-CD28&#x2013;coated Dynabeads (DB; Gibco). Unstimulated CFSE-labeled PBMCs were cultured under identical conditions as controls.</p>
<p>After incubation, cells were harvested and stained with 7-AAD, anti-CD3, and anti-CD4 antibodies for 30 minutes at room temperature. Following washing, data acquisition was performed using a BD FACSLyric&#x2122; flow cytometer (Becton Dickinson, San Jose, CA, USA), and data were analyzed with FlowJo software version 10.8 (BD Biosciences).</p>
</sec>
<sec id="s2_8">
<title>DNA isolation and genetic analysis</title>
<p>Genomic DNA (gDNA) was extracted from whole blood using a previously described protocol (<xref ref-type="bibr" rid="B22">22</xref>). Whole-exome sequencing (WES) was conducted on gDNA from the first affected sibling (Patient 1). Identified mutations in the <italic>CD19</italic> gene were subsequently confirmed by Sanger sequencing in both affected siblings. Segregation analysis was performed in the parents and unaffected siblings through targeted amplification and sequencing of exon 2 of the CD19 gene.</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<title>Results</title>
<sec id="s3_1">
<title>Clinical features</title>
<p>Both siblings were born to healthy consanguineous Algerian parents (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2A</bold>
</xref>). Patient 1 is a 10-year-old girl. Her prenatal and perinatal histories were unremarkable. However, beginning at 8 months of age, she experienced recurrent urinary tract infections and episodes of pyelonephritis, necessitating multiple hospitalizations. No congenital anomalies of the kidneys or urinary tract were identified. From the age of 3 years, she developed recurrent episodes of acute purulent otitis media and sinopulmonary infections, which were managed with antibiotics and did not require hospitalization.</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Genetic and immunophenotypic characterization of CD19 deficiency in a consanguineous family. <bold>(A)</bold> Family pedigree. The pedigree illustrates a consanguineous union between the parents, both heterozygous carriers of the c.232delC (p.Leu78Trpfs*52) variant in the <italic>CD19</italic> gene. Two unaffected brothers did not carry the mutation, while both patients were homozygous for the deletion. <bold>(B)</bold> T-cell subpopulations. Flow cytometric analysis of peripheral blood from both patients (1 and 2) and a healthy control showing the distribution of na&#xef;ve T cells, central memory (TCM), effector memory (TEM), and terminally differentiated effector memory (TEMRA) T cells, based on CD4, CD8, CD45RA, and CCR7 expression within the CD3<sup>+</sup> T-cell compartment. T-cell subsets were compared to established reference ranges from our laboratory. <bold>(C)</bold> Regulatory and follicular helper T cells. Representative flow cytometry plots showing the frequencies of FOXP3<sup>+</sup>CD25<sup>+</sup> regulatory T (Treg) cells and CXCR5<sup>+</sup>CD45RO<sup>+</sup> follicular helper T (Tfh) cells within the CD4<sup>+</sup> T-cell population. <bold>(D)</bold> B-cell subpopulations. Distribution of transitional, na&#xef;ve, memory, autoreactive B cells, and plasmablasts in peripheral blood of patients 1 and 2, and a healthy control assessed within the CD20<sup>+</sup> B-cell compartment using CD21, CD24, CD27, CD38, and IgD markers. B-cell subsets were also compared to established reference ranges from our laboratory.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-16-1634146-g002.tif">
<alt-text content-type="machine-generated">Genetic pedigree chart for a family, highlighting affected individuals and carriers. Flow cytometry plots illustrate lymphocyte populations for two patients and a healthy control (HC). Various plots in panels C and D display Treg, TFH, CD4+, CD8+, and B cell subsets with markers like CCR7, CD45RA, CD25, CXCR5, CD27, IgD, CD24, CD21, and CD38. Data points indicate cell distribution and population percentages.</alt-text>
</graphic>
</fig>
<p>At the age of 6, she presented with an episode of extensive herpetic skin lesions that resolved spontaneously. She also experienced several episodes of mucocutaneous fungal infections, primarily affecting the scalp, skin, and genital area, which responded well to topical antifungal treatment. She received all routine childhood immunizations in accordance with the Algerian national vaccination schedule.</p>
<p>On physical examination, the patient exhibited growth and developmental delays, with a length at -2 standard deviations (SD) and weight at -3 SD. The remainder of the physical examination was unremarkable, including assessments of the lymph nodes, skin, head, heart, neck, oral cavity, and the digestive, urogenital, and respiratory systems.</p>
<p>Patient 2 is a 5-month-old boy who was hospitalized at 5 months of age due to severe pneumonia with pleural effusion and respiratory distress. He was born at term but had a low birth weight (2.1 kg). During the first five months of life, he experienced multiple episodes of upper respiratory tract infections.</p>
<p>On admission, physical examination revealed a high-grade fever (39&#xb0;C), oxygen saturation of 72% on room air, polypnea at 76 breaths per minute, a hacking cough, and tachycardia with a pulse rate of 140 beats per minute. Growth parameters were significantly below age norms, with a weight of -4 SD and length of -3 SD. Auscultation revealed crackles at the bases of both lungs. Additionally, the patient presented with watery diarrhea. There was no clinical evidence of lymphadenopathy or hepatosplenomegaly.</p>
</sec>
<sec id="s3_2">
<title>Laboratory investigations</title>
<p>For Patient 1, initial laboratory evaluation revealed a hemoglobin level of 13.6 g/dL and a white blood cell (WBC) count of 14,200/mm&#xb3;, with a differential of granulocytes 47.1%, lymphocytes 46.2%, and monocytes 6.7%. Initial immunological investigations (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>) showed a moderate decrease in serum IgG at 436 mg/L (reference range: 700&#x2013;1160 mg/L), while IgA was within normal limits at 144 mg/L (ref: 79&#x2013;169 mg/L), as were IgM at 42 mg/L (ref: 40&#x2013;90 mg/L) and IgE at 11.9 IU/mL (ref: &lt;52 IU/mL). Protective antibody titers were markedly reduced, with tetanus and diphtheria toxoid-specific IgG levels being low to undetectable (0.024 IU/mL and 0.001 IU/mL, respectively). Following immunization with Pneumovax<sup>&#xae;</sup>23 (Pneumococcal Vaccine Polyvalent), specific IgG antibodies against pneumococcal capsular polysaccharides remained low at 30.8 mg/L. IgG subclass analysis showed a selective deficiency of IgG1.</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Immunological characteristics of two siblings with CD19 deficiency.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" rowspan="2" align="center">Parameter</th>
<th valign="middle" colspan="2" align="center">Patient 1</th>
<th valign="middle" colspan="3" align="center">Patient 2</th>
</tr>
<tr>
<th valign="middle" align="center">Result</th>
<th valign="middle" align="center">Normal range</th>
<th valign="middle" colspan="2" align="center">Result</th>
<th valign="middle" align="center">Normal range</th>
</tr>
</thead>
<tbody>
<tr>
<th valign="middle" colspan="6" align="left">Immunoglobulin levels</th>
</tr>
<tr>
<td valign="middle" align="left">
<bold>IgG (mg/dl)</bold>
</td>
<td valign="middle" align="center">
<bold>436</bold>
<break/>
<bold>595</bold>*</td>
<td valign="middle" colspan="2" align="center">700&#x2013;1160<break/>690&#x2013;1150</td>
<td valign="middle" align="center">
<bold>1580</bold>
</td>
<td valign="middle" align="center">320&#x2013;520</td>
</tr>
<tr>
<td valign="middle" align="left">
<bold>IgG1 (mg/dl)</bold>
</td>
<td valign="middle" align="center">
<bold>284</bold>
</td>
<td valign="middle" colspan="2" align="center">432 &#x2013;1020</td>
<td valign="middle" align="center">N/D</td>
<td valign="middle" align="center">/</td>
</tr>
<tr>
<td valign="middle" align="left">
<bold>IgG2 (mg/dl)</bold>
</td>
<td valign="middle" align="center">89</td>
<td valign="middle" colspan="2" align="center">72 &#x2013; 430</td>
<td valign="middle" align="center">N/D</td>
<td valign="middle" align="center">/</td>
</tr>
<tr>
<td valign="middle" align="left">
<bold>IgG3 (mg/dl)</bold>
</td>
<td valign="middle" align="center">60</td>
<td valign="middle" colspan="2" align="center">12.7 &#x2013; 85.3</td>
<td valign="middle" align="center">N/D</td>
<td valign="middle" align="center">/</td>
</tr>
<tr>
<td valign="middle" align="left">
<bold>IgG4 (mg/dl)</bold>
</td>
<td valign="middle" align="center">3</td>
<td valign="middle" colspan="2" align="center">1.9 &#x2013; 93.2</td>
<td valign="middle" align="center">N/D</td>
<td valign="middle" align="center">/</td>
</tr>
<tr>
<td valign="middle" align="left">
<bold>IgA (mg/dl)</bold>
</td>
<td valign="middle" align="center">144<break/>129*</td>
<td valign="middle" colspan="2" align="center">79&#x2013;169<break/>68&#x2013;194</td>
<td valign="middle" align="center">
<bold>86.4</bold>
</td>
<td valign="middle" align="center">10-46</td>
</tr>
<tr>
<td valign="middle" align="left">
<bold>IgM (mg/dl)</bold>
</td>
<td valign="middle" align="center">42<break/>406*</td>
<td valign="middle" colspan="2" align="center">40&#x2013;90<break/>390&#x2013;790</td>
<td valign="middle" align="center">45.4</td>
<td valign="middle" align="center">20-66</td>
</tr>
<tr>
<td valign="middle" align="left">
<bold>IgE (IU/ml)</bold>
</td>
<td valign="middle" align="center">11,9</td>
<td valign="middle" colspan="2" align="center">&lt;52</td>
<td valign="middle" align="center">N/D</td>
<td valign="middle" align="center">/</td>
</tr>
<tr>
<th valign="middle" colspan="6" align="left">Lymphocyte subsets</th>
</tr>
<tr>
<td valign="middle" align="left">
<bold>CD3<sup>+</sup> T cells/mm<sup>3</sup>
</bold>
</td>
<td valign="middle" align="center">
<bold>4447</bold>
</td>
<td valign="middle" colspan="2" align="center">1200 &#x2013; 2600</td>
<td valign="middle" align="center">
<bold>1482</bold>
</td>
<td valign="middle" align="center">2500 &#x2013; 5600</td>
</tr>
<tr>
<td valign="middle" align="left">
<bold>CD4<sup>+</sup> T cells/mm<sup>3</sup>
</bold>
</td>
<td valign="middle" align="center">
<bold>2086</bold>
</td>
<td valign="middle" colspan="2" align="center">650 &#x2013; 1500</td>
<td valign="middle" align="center">
<bold>859</bold>
</td>
<td valign="middle" align="center">1800 &#x2013; 4000</td>
</tr>
<tr>
<td valign="middle" align="left">
<bold>CD4<sub>Naive</sub>CD45RA<sup>+</sup>CCR7<sup>+</sup> T cells/CD4<sup>+</sup> T cells%</bold>
</td>
<td valign="middle" align="center">53.90</td>
<td valign="middle" colspan="2" align="center">15.5 &#x2013; 59.4</td>
<td valign="middle" align="center">
<bold>85.6</bold>
</td>
<td valign="middle" align="center">25.6 &#x2013; 78.4</td>
</tr>
<tr>
<td valign="middle" align="left">
<bold>CD4<sub>CM</sub>CD45RA<sup>-</sup>CCR7<sup>+</sup> T cells/CD4<sup>+</sup> T cells%</bold>
</td>
<td valign="middle" align="center">
<bold>29.70</bold>
</td>
<td valign="middle" colspan="2" align="center">12.2 &#x2013; 26.2</td>
<td valign="middle" align="center">11.10</td>
<td valign="middle" align="center">8.3 &#x2013; 21</td>
</tr>
<tr>
<td valign="middle" align="left">
<bold>CD4<sub>EM</sub>CD45RA<sup>-</sup>CCR7<sup>-</sup> T cells/CD4<sup>+</sup> T cells%</bold>
</td>
<td valign="middle" align="center">16.2</td>
<td valign="middle" colspan="2" align="center">10.6 &#x2013; 34.2</td>
<td valign="middle" align="center">
<bold>2.61</bold>
</td>
<td valign="middle" align="center">3.4 &#x2013; 12.4</td>
</tr>
<tr>
<td valign="middle" align="left">
<bold>CD4<sub>TEMRA</sub>CD45RA<sup>+</sup>CCR7<sup>-</sup> T cells/CD4<sup>+</sup> T cells%</bold>
</td>
<td valign="middle" align="center">
<bold>0.18</bold>
</td>
<td valign="middle" colspan="2" align="center">4.5 &#x2013; 43.6</td>
<td valign="middle" align="center">
<bold>0.69</bold>
</td>
<td valign="middle" align="center">5.1 &#x2013; 55.4</td>
</tr>
<tr>
<td valign="middle" align="left">
<bold>CD4<sub>RTE</sub>CD45RA<sup>+</sup>CD31<sup>+</sup>/CD4<sup>+</sup> T cells%</bold>
</td>
<td valign="middle" align="center">41.52</td>
<td valign="middle" colspan="2" align="center">25.8 &#x2013; 68</td>
<td valign="middle" align="center">65.57</td>
<td valign="middle" align="center">19.4 &#x2013; 60.9</td>
</tr>
<tr>
<td valign="middle" align="left">
<bold>Treg (CD25<sup>++</sup>CD127<sup>-</sup>FOXP3<sup>+</sup>)/CD4<sup>+</sup> T cells%</bold>
</td>
<td valign="middle" align="center">3.21</td>
<td valign="middle" colspan="2" align="center">2.02&#x2013; 3.6</td>
<td valign="middle" align="center">3.48</td>
<td valign="middle" align="center">2.02&#x2013; 3.6</td>
</tr>
<tr>
<td valign="middle" align="left">
<bold>Tfh (CD4<sup>+</sup> CD45RO<sup>+</sup> CXCR5<sup>+</sup>)/CD4+T cells%</bold>
</td>
<td valign="middle" align="center">
<bold>16,1</bold>
</td>
<td valign="middle" colspan="2" align="center">8.1 &#x2013; 14.7</td>
<td valign="middle" align="center">
<bold>8,08</bold>
</td>
<td valign="middle" align="center">8.1 &#x2013; 14.7</td>
</tr>
<tr>
<td valign="middle" align="left">
<bold>CD8<sup>+</sup> T cells/mm<sup>3</sup>
</bold>
</td>
<td valign="middle" align="center">
<bold>1925</bold>
</td>
<td valign="middle" colspan="2" align="center">370 &#x2013; 1100</td>
<td valign="middle" align="center">537</td>
<td valign="middle" align="center">590 &#x2013; 1600</td>
</tr>
<tr>
<td valign="middle" align="left">
<bold>CD8<sub>Naive</sub>CD45RA<sup>+</sup>CCR7<sup>+</sup> T cells/CD8<sup>+</sup> T cells%</bold>
</td>
<td valign="middle" align="center">28.4</td>
<td valign="middle" colspan="2" align="center">5.5 &#x2013; 39.7</td>
<td valign="middle" align="center">87.6</td>
<td valign="middle" align="center">8.3 &#x2013; 64.9</td>
</tr>
<tr>
<td valign="middle" align="left">
<bold>CD8<sub>CM</sub>CD45RA<sup>-</sup>CCR7<sup>+</sup> T cells/CD8<sup>+</sup> T cells%</bold>
</td>
<td valign="middle" align="center">6.93</td>
<td valign="middle" colspan="2" align="center">1.2 &#x2013; 3.8</td>
<td valign="middle" align="center">7.27</td>
<td valign="middle" align="center">1.9 &#x2013; 9.5</td>
</tr>
<tr>
<td valign="middle" align="left">
<bold>CD8<sub>EM</sub>CD45RA<sup>-</sup>CCR7<sup>-</sup> T cells/CD8<sup>+</sup> T cells%</bold>
</td>
<td valign="middle" align="center">49</td>
<td valign="middle" colspan="2" align="center">20.1 &#x2013; 44.7</td>
<td valign="middle" align="center">
<bold>4.32</bold>
</td>
<td valign="middle" align="center">5.1 &#x2013; 41.5</td>
</tr>
<tr>
<td valign="middle" align="left">
<bold>CD8<sub>TEMRA</sub>CD45RA<sup>+</sup>CCR7<sup>-</sup> T cells/CD8<sup>+</sup> T cells%</bold>
</td>
<td valign="middle" align="center">15.70</td>
<td valign="middle" colspan="2" align="center">21.5 &#x2013; 61</td>
<td valign="middle" align="center">0.84</td>
<td valign="middle" align="center">14 &#x2013; 65.4</td>
</tr>
<tr>
<td valign="middle" align="left">
<bold>CD4<sup>+</sup>/CD8<sup>+</sup> Ratio</bold>
</td>
<td valign="middle" align="center">1.08</td>
<td valign="middle" colspan="2" align="center">1.5 &#x2013; 2.9</td>
<td valign="middle" align="center">1.60</td>
<td valign="middle" align="center">1.5 &#x2013; 2.9</td>
</tr>
<tr>
<td valign="middle" align="left">
<bold>CD19<sup>+</sup>B cells/mm<sup>3</sup>
</bold>
</td>
<td valign="middle" align="center">
<bold>0</bold>
</td>
<td valign="middle" colspan="2" align="center">270 &#x2013; 860</td>
<td valign="middle" align="center">
<bold>0</bold>
</td>
<td valign="middle" align="center">430 &#x2013; 3000</td>
</tr>
<tr>
<td valign="middle" align="left">
<bold>CD20<sup>+</sup>B cells/mm<sup>3</sup>
</bold>
</td>
<td valign="middle" align="center">562</td>
<td valign="middle" colspan="2" align="center">270 &#x2013; 860</td>
<td valign="middle" align="center">
<bold>266</bold>
</td>
<td valign="middle" align="center">430 &#x2013; 3000</td>
</tr>
<tr>
<td valign="middle" align="left">
<bold>B<sub>naive</sub> (CD27<sup>-</sup>IgD<sup>+</sup>)/CD20<sup>+</sup> B cells %</bold>
</td>
<td valign="middle" align="center">87</td>
<td valign="middle" colspan="2" align="center">44.95 &#x2013; 75.80</td>
<td valign="middle" align="center">
<bold>95.2</bold>
</td>
<td valign="middle" align="center">65.54 &#x2013; 86.62</td>
</tr>
<tr>
<td valign="middle" align="left">
<bold>B<sub>switched memory</sub> (CD27<sup>+</sup>IgD<sup>-</sup>)/CD20<sup>+</sup> B cells %</bold>
</td>
<td valign="middle" align="center">
<bold>2.5</bold>
</td>
<td valign="middle" colspan="2" align="center">5.2 &#x2013; 12.1</td>
<td valign="middle" align="center">0.44</td>
<td valign="middle" align="center">0.1 &#x2013; 1.9</td>
</tr>
<tr>
<td valign="middle" align="left">
<bold>B<sub>unswitched &gt;memory</sub> (CD27<sup>+</sup>IgD<sup>+</sup>)/CD20<sup>+</sup> B cells %</bold>
</td>
<td valign="middle" align="center">
<bold>2.29</bold>
</td>
<td valign="middle" colspan="2" align="center">7.5 &#x2013; 12.4</td>
<td valign="middle" align="center">1.67</td>
<td valign="middle" align="center">1.6 &#x2013; 4.1</td>
</tr>
<tr>
<td valign="middle" align="left">
<bold>B<sub>transitional</sub> (CD24<sup>++</sup>CD38<sup>++</sup>)/CD20<sup>+</sup> B cells %</bold>
</td>
<td valign="middle" align="center">5.64</td>
<td valign="middle" colspan="2" align="center">4.5 &#x2013; 9.2</td>
<td valign="middle" align="center">
<bold>55.6</bold>
</td>
<td valign="middle" align="center">8.3 &#x2013; 15.8</td>
</tr>
<tr>
<td valign="middle" align="left">
<bold>B<sub>plasmablast</sub> (CD24<sup>-</sup>CD38<sup>++</sup>)/CD20<sup>+</sup> B cells %</bold>
</td>
<td valign="middle" align="center">
<bold>0.43</bold>
</td>
<td valign="middle" colspan="2" align="center">0.7 &#x2013; 3.5</td>
<td valign="middle" align="center">0.34</td>
<td valign="middle" align="center">0.2 &#x2013; 1.0</td>
</tr>
<tr>
<td valign="middle" align="left">
<bold>B<sub>CD21(-/low)</sub> (CD21<sup>low</sup>CD38<sup>low</sup>)/CD20<sup>+</sup> B cells %</bold>
</td>
<td valign="middle" align="center">
<bold>0.21</bold>
</td>
<td valign="middle" colspan="2" align="center">0.9 &#x2013; 3.5</td>
<td valign="middle" align="center">
<bold>0.024</bold>
</td>
<td valign="middle" align="center">0.3 &#x2013; 4.0</td>
</tr>
<tr>
<td valign="middle" align="left">
<bold>CD3<sup>-</sup>CD16<sup>+</sup>CD56<sup>+</sup> NK cells/mm<sup>3</sup>
</bold>
</td>
<td valign="middle" align="center">115</td>
<td valign="middle" colspan="2" align="center">100 &#x2013; 480</td>
<td valign="middle" align="center">
<bold>119</bold>
</td>
<td valign="middle" align="center">170 &#x2013; 830</td>
</tr>
<tr>
<th valign="middle" colspan="6" align="left">Post-vaccination antibody titres</th>
</tr>
<tr>
<td valign="middle" align="left">
<bold>Anti-tetanus toxoid IgG (UI/mL)</bold>
</td>
<td valign="middle" align="center">
<bold>0,027</bold>
</td>
<td valign="middle" colspan="2" align="center">&#x2265; 0,1</td>
<td valign="middle" align="center">N/D</td>
<td valign="middle" align="center">/</td>
</tr>
<tr>
<td valign="middle" align="left">
<bold>Anti-diphtheria toxoid IgG (UI/mL)</bold>
</td>
<td valign="middle" align="center">
<bold>0,001</bold>
</td>
<td valign="middle" colspan="2" align="center">&#x2265; 0,1</td>
<td valign="middle" align="center">N/D</td>
<td valign="middle" align="center">/</td>
</tr>
<tr>
<th valign="middle" colspan="6" align="left">Autoantibodies</th>
</tr>
<tr>
<td valign="middle" align="left">
<bold>IgG Antineutrophil Cytoplasmic Antibodies (ANCA)</bold>
</td>
<td valign="middle" align="center">Negative</td>
<td valign="middle" colspan="2" align="center">&lt;1/20</td>
<td valign="middle" align="center">Negative</td>
<td valign="middle" align="center">&lt;1/20</td>
</tr>
<tr>
<td valign="middle" align="left">
<bold>IgG anti-nuclear autoantibodies (ANA) on HEp-2</bold>
</td>
<td valign="middle" align="center">1/160 (Speckled)</td>
<td valign="middle" colspan="2" align="center">&lt;1/80</td>
<td valign="middle" align="center">Negative</td>
<td valign="middle" align="center">&lt;1/80</td>
</tr>
<tr>
<td valign="middle" align="left">
<bold>Extractible nuclear antigen (ENA) Screen (U/mL)</bold>
</td>
<td valign="middle" align="center">11</td>
<td valign="middle" colspan="2" align="center">&lt;20</td>
<td valign="middle" align="center">10</td>
<td valign="middle" align="center">&lt;20</td>
</tr>
<tr>
<td valign="middle" align="left">
<bold>IgG anti-dsDNA (IU/mL)</bold>
</td>
<td valign="middle" align="center">&lt;10</td>
<td valign="middle" colspan="2" align="center">&lt;30</td>
<td valign="middle" align="center">&lt;10</td>
<td valign="middle" align="center">&lt;30</td>
</tr>
<tr>
<td valign="middle" align="left">
<bold>IgM Rheumatoid factor (U/mL)</bold>
</td>
<td valign="middle" align="center">&lt;10</td>
<td valign="middle" colspan="2" align="center">&lt;20</td>
<td valign="middle" align="center">&lt;10</td>
<td valign="middle" align="center">&lt;20</td>
</tr>
<tr>
<td valign="middle" align="left">
<bold>IgG anti-F-Actin (U/mL)</bold>
</td>
<td valign="middle" align="center">
<bold>23</bold>
</td>
<td valign="middle" colspan="2" align="center">&lt;20</td>
<td valign="middle" align="center">
<bold>39</bold>
</td>
<td valign="middle" align="center">&lt;20</td>
</tr>
<tr>
<td valign="middle" align="left">
<bold>IgG antimitochondrial M2 (U/mL)</bold>
</td>
<td valign="middle" align="center">10</td>
<td valign="middle" colspan="2" align="center">&lt;20</td>
<td valign="middle" align="center">17</td>
<td valign="middle" align="center">&lt;20</td>
</tr>
<tr>
<td valign="middle" align="left">
<bold>IgG anti-SP100 (U/mL)</bold>
</td>
<td valign="middle" align="center">7</td>
<td valign="middle" colspan="2" align="center">&lt;20</td>
<td valign="middle" align="center">16</td>
<td valign="middle" align="center">&lt;20</td>
</tr>
<tr>
<td valign="middle" align="left">
<bold>IgG anti-GP210 (U/mL)</bold>
</td>
<td valign="middle" align="center">6</td>
<td valign="middle" colspan="2" align="center">&lt;20</td>
<td valign="middle" align="center">11</td>
<td valign="middle" align="center">&lt;20</td>
</tr>
<tr>
<td valign="middle" align="left">
<bold>IgG anti- LKM1(U/mL)</bold>
</td>
<td valign="middle" align="center">3</td>
<td valign="middle" colspan="2" align="center">&lt;20</td>
<td valign="middle" align="center">8</td>
<td valign="middle" align="center">&lt;20</td>
</tr>
<tr>
<td valign="middle" align="left">
<bold>IgG anti- SLA (IU/mL)</bold>
</td>
<td valign="middle" align="center">7</td>
<td valign="middle" colspan="2" align="center">&lt;20</td>
<td valign="middle" align="center">
<bold>60</bold>
</td>
<td valign="middle" align="center">&lt;20</td>
</tr>
<tr>
<td valign="middle" align="left">
<bold>IgG anti-intrinsic factor (U/mL)</bold>
</td>
<td valign="middle" align="center">4</td>
<td valign="middle" colspan="2" align="center">&lt;25</td>
<td valign="middle" align="center">6</td>
<td valign="middle" align="center">&lt;25</td>
</tr>
<tr>
<td valign="middle" align="left">
<bold>IgG anti-parietal cells (U/mL)</bold>
</td>
<td valign="middle" align="center">5</td>
<td valign="middle" colspan="2" align="center">&lt;20</td>
<td valign="middle" align="center">5</td>
<td valign="middle" align="center">&lt;20</td>
</tr>
<tr>
<td valign="middle" align="left">
<bold>IgA anti-transglutaminase (IU/mL)</bold>
</td>
<td valign="middle" align="center">6</td>
<td valign="middle" colspan="2" align="center">&lt;10</td>
<td valign="middle" align="center">5</td>
<td valign="middle" align="center">&lt;10</td>
</tr>
<tr>
<td valign="middle" align="left">
<bold>IgG-anti-thyroid peroxidase (TPO) (IU/mL)</bold>
</td>
<td valign="middle" align="center">12</td>
<td valign="middle" colspan="2" align="center">&lt;35</td>
<td valign="middle" align="center">15</td>
<td valign="middle" align="center">&lt;35</td>
</tr>
<tr>
<td valign="middle" align="left">
<bold>IgG anti-thyroglobulin (TG) (IU/mL)</bold>
</td>
<td valign="middle" align="center">10</td>
<td valign="middle" colspan="2" align="center">&lt;40</td>
<td valign="middle" align="center">18</td>
<td valign="middle" align="center">&lt;40</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>CM, Central memory; EM, effector memory; TEMRA: Terminally differentiated T cells; RTE, Recent Thymic Emigrant, N/D, not done.</p>
</fn>
<fn>
<p>Values in bold are abnormal.</p>
</fn>
<fn>
<p>*Second data point collected at age 10</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>Lymphocyte immunophenotyping by flow cytometry demonstrated an absence of CD19+ B cells (0% of total lymphocytes), while CD20+ B cells were present at 11% (absolute count: 562/mm&#xb3;). T cell populations included CD3+ T cells at 86.8% (4447/mm&#xb3;), CD4+ T cells at 40.7% (2086/mm&#xb3;), CD8+ T cells at 37.6% (1925/mm&#xb3;), with a CD4/CD8 ratio of 1.08. Natural killer (CD56+) cells accounted for 2.2% (115/mm&#xb3;). Based on these findings, the patient was started on intravenous immunoglobulin (IVIG) therapy at a dose of 0.4 g/kg every 21 days.</p>
<p>Further in-depth immunophenotyping of T and B cell subsets was performed (<xref ref-type="fig" rid="f2">
<bold>Figures&#xa0;2B&#x2013;D</bold>
</xref>). No significant abnormalities were observed in the frequencies of na&#xef;ve or effector T cell subsets. Regulatory T cells (Tregs) were within normal limits, while T follicular helper (Tfh) cells were slightly elevated compared to age- and sex-matched healthy controls. In the B cell compartment, despite normal total B cell counts, the frequencies of both switched and non-switched memory B cells and plasmablasts were reduced, with a concomitant increase in na&#xef;ve B cells. These findings suggest an underlying defect in B cell activation and maturation. The near-absent post-immunization antibody responses against tetanus and diphtheria toxoids, as well as persistently low anti-pneumococcal antibody levels, further support this immunological dysfunction.</p>
<p>For Patient 2, laboratory findings revealed a white blood cell (WBC) count of 15,800/mm&#xb3; with a differential of 64% neutrophils, 19.9% lymphocytes, 9% monocytes, and 5.4% eosinophils. Hemoglobin was 11.5 g/dL and platelet count were elevated at 788,000/mm&#xb3;. Serum immunoglobulin levels showed increased IgG and IgA, while IgM was within normal limits. Renal and hepatic function parameters, as well as serum electrolyte levels, were within normal ranges. C-reactive protein (CRP) was markedly elevated at 24 mg/dL (reference: &lt;6 mg/dL). A chest X-ray revealed right-sided pleuropneumonia.</p>
<p>Lymphocyte subset analysis showed normal percentages but decreased absolute counts for all subsets when compared to age-matched reference values: CD3+ T cells at 79.4% (1482/mm&#xb3;), CD4+ T cells at 46% (859/mm&#xb3;), CD8+ T cells at 28.7% (537/mm&#xb3;), CD20+ B cells at 14.2% (266/mm&#xb3;), and CD16+CD56+ NK cells at 6.4% (119/mm&#xb3;). Notably, B cells lacked surface expression of CD19. Post-vaccination antibody responses could not be evaluated, as the patient had only received the BCG vaccine.</p>
<p>Further immunophenotyping of T and B cell compartments revealed an expansion of transitional B cells and a reduction in plasmablasts, while other lymphocyte subpopulations were within normal limits (<xref ref-type="fig" rid="f2">
<bold>Figures&#xa0;2B&#x2013;D</bold>
</xref>). Based on these immunologic findings and the positive family history, a diagnosis of CD19 deficiency was established. The patient was initiated on immunoglobulin replacement therapy at a dose of 0.4 g/kg every three weeks.</p>
</sec>
<sec id="s3_3">
<title>Genetic and molecular characterization of the CD19 defect</title>
<p>To identify the underlying molecular defect, whole exome sequencing (WES) was performed for patient 1, the eldest affected sibling. Bioinformatic analysis revealed a homozygous deletion of a cytosine nucleotide in exon 2 of the <italic>CD19</italic> gene at cDNA position 232 (GenBank accession: NM_001770.6), designated as c.232delC. At the genomic level, this corresponds to NC_000016.10:g.28932489del and based on the human genome assembly GRCh37/hg19, the chromosomal position is chr16:28943810delC. This variant was queried in the Genome Aggregation Database (gnomAD) v2.1.1, which is compatible with the hg19 reference genome, and was not reported in either the Exomes or Genomes datasets. The c.232delC mutation is predicted to cause a frameshift resulting in a premature stop codon in exon 2 (p.Leu78Trpfs*52), initiating at codon 78 and leading to a stop codon 52 amino acids downstream (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3A</bold>
</xref>). This frameshift is expected to result in nonsense-mediated mRNA decay (NMD) and complete loss of functional CD19 protein expression. According to the American College of Medical Genetics and Genomics (ACMG) criteria, the variant is classified as &#x201c;pathogenic&#x201d; (<xref ref-type="bibr" rid="B24">24</xref>).</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Ahomozygous nucleotide deletion in CD19 gene disrupts the reading frame, resulting in early termination of translation. <bold>(A)</bold> Schematic overview of the CD19 gene, the 3D model of the human CD19 protein obtained from the AlphaFold Protein Structure Database via RCSB PDB (<uri xlink:href="https://www.rcsb.org/structure/AF_AFP15391F1">www.rcsb.org/structure/AF_AFP15391F1</uri>) (<xref ref-type="bibr" rid="B23">23</xref>), and its functional domains with previously reported mutations; EC, extracellular; TM, transmembrane; IC, intracellular. Both patients carried a homozygous cytosine deletion at nucleotide position 232 in exon 2 of the CD19 gene, resulting in a frameshift at leucine 78 and the introduction of a premature stop codon (TAG) 52 amino acids downstream. TM, transmembrane domain; Ig, immunoglobulin-like domain. <bold>(B)</bold>. DNA Sanger sequencing confirmed CD19 nucleotide deletion (c.232delC) in patients and family members.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-16-1634146-g003.tif">
<alt-text content-type="machine-generated">Genetic diagram showing sequence analysis. Panel A illustrates a gene structure with exons numbered one to fifteen, highlighting a mutation at Leucine seventy-eight causing a frameshift. The protein structure is annotated, showing changes like Leu78Trpfs*52. Panel B presents DNA sequencing chromatograms for multiple family members. Patients one and two are homozygous for c.232delC mutation; the mother and father are heterozygous carriers, while brothers one and two show no mutation.</alt-text>
</graphic>
</fig>
<p>The mutation was confirmed by Sanger sequencing, which verified its segregation with the disease phenotype. Family screening revealed that both parents were heterozygous carriers of the mutation. The symptomatic younger brother (Patient 2) was also found to be homozygous for the same mutation, while the two remaining asymptomatic siblings tested negative for the variant (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3B</bold>
</xref>).</p>
</sec>
<sec id="s3_4">
<title>CD19-complex members expression</title>
<p>The expression of CD19 multimeric complex proteins on B lymphocytes was evaluated by flow cytometry in the affected siblings, their unaffected siblings, parents, and healthy controls (<xref ref-type="fig" rid="f4">
<bold>Figures&#xa0;4A, B</bold>
</xref>; <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure&#xa0;1</bold>
</xref>). CD19 surface expression was completely absent in both affected siblings, while it was slightly reduced in their heterozygous carrier parents compared to non-carrier siblings and healthy controls. CD21 expression was reduced, but not absent, in both affected patients, whereas CD81 expression remained normal. CD225 expression was not assessed due to lack of validated antibodies.</p>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>Analysis of B-cell Surface Markers, T-cell Cytokine Production, and Proliferative Responses in CD19-deficient Patients and Relatives <bold>(A)</bold>. Flow cytometric histograms illustrating membrane expression of CD19, CD21, and CD81 on CD20<sup>+</sup> B cells from patients, healthy controls, siblings, and parents. <bold>(B)</bold>. Comparison of the median fluorescence intensity (MFI) of CD19, CD21, and CD81 expression on CD20<sup>+</sup> B cells among patients, healthy controls, parents, and siblings. <bold>(C)</bold>. T cell proliferation following 4-day stimulation with phytohemagglutinin A (orange), 6-day stimulation with anti-CD3/CD28 antibodies (red), and unstimulated control (blue). <bold>(D)</bold>. Frequencies of IL-17A-, IFN-&#x3b3;-, and IL-4&#x2013;producing CD4<sup>+</sup> T cells in patient and healthy control samples after 5-hour stimulation with PMA/ionomycin in the presence of monensin. <bold>(E)</bold> Serum from patient 1 exhibited a speckled antinuclear antibody (ANA) pattern by indirect immunofluorescence (IIF) at a titer of 1:160, compared to a positive control with a titer of 1:1000 and a negative result in the healthy control.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-16-1634146-g004.tif">
<alt-text content-type="machine-generated">Flow cytometry analysis displaying various panels. Panel A shows histograms for CD19, CD21, and CD81 markers with different profiles based on carrier status and health controls. Panel B presents mean fluorescence intensity (MFI) data for CD19, CD21, and CD81. Panel C displays CFSE proliferation patterns comparing Patient 1 to healthy controls. Panel D shows dot plots for IL-4, IL-17, and IFN&#x3b3; expressions in CD4+ T cells for patients and controls. Panel E contains fluorescence microscopy images illustrating cellular staining, comparing positive control, healthy control, and a patient sample.</alt-text>
</graphic>
</fig>
<p>These findings confirm that the homozygous c.232delC (p.Leu78Trpfs*52) mutation results in a complete loss of CD19 surface expression on B cells in affected individuals, with a partial reduction observed in heterozygous carriers. Moreover, the absence of CD19 appears to impair the expression of CD21, while not affecting CD81, suggesting that CD19 is critical for the stability or surface expression of certain components of the CD19 complex.</p>
</sec>
<sec id="s3_5">
<title>Functional studies</title>
<p>
<italic>In vitro</italic> T-lymphocyte proliferation in response to mitogens (PHA) and to anti-CD3/anti-CD28 stimulation was normal (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4C</bold>
</xref>). Furthermore, intracellular cytokine staining following CD4+ T cell stimulation showed no abnormalities in the frequencies of CD4+IFN&#x3b3;+ (Th1), CD4+IL-4+ (Th2), and CD4+IL-17A+ (Th17) cells compared to age- and sex-matched healthy controls (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4D</bold>
</xref>). These results indicate that T cell function is preserved, making a primary T cell defect an unlikely cause of the patients&#x2019; recurrent infections.</p>
</sec>
<sec id="s3_6">
<title>Autoreactive antibody levels</title>
<p>Autoimmune manifestations occur in approximately 30% of individuals with Common Variable Immunodeficiency (CVID) and represent a significant contributor to morbidity and mortality in this population (<xref ref-type="bibr" rid="B25">25</xref>&#x2013;<xref ref-type="bibr" rid="B27">27</xref>). Similarly, the presence of autoantibodies has been documented in patients with CD19 deficiency and has been associated with the development of autoimmune features (<xref ref-type="bibr" rid="B9">9</xref>, <xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B28">28</xref>). To explore whether the c.232delC (p.Leu78Trpfs*52) mutation was associated with the production of autoreactive antibodies, both affected siblings were screened for organ-specific and non-organ-specific autoantibodies.</p>
<p>Patient 1 showed a speckled pattern of antinuclear antibodies (ANA) on indirect immunofluorescence (IIF) at a low titer (1:160) (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4E</bold>
</xref>), while antibodies against extractable nuclear antigens (ENA) and double-stranded DNA (dsDNA) were negative. Notably, anti-F-actin antibodies were slightly elevated (23 U/mL; reference: &lt;20 U/mL), a finding suggestive of a predisposition to type I autoimmune hepatitis. In contrast, Patient 2 exhibited markedly elevated levels of anti-F-actin (39 U/mL) and anti-soluble liver antigen (SLA) antibodies (60 U/mL; reference: &lt;20 U/mL), both serologic markers associated with autoimmune hepatitis. Despite these findings, liver function tests remained within normal ranges in both patients.</p>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<title>Discussion</title>
<p>CD19 deficiency is associated with a variable clinical phenotype. While some patients present with symptoms during the first decade of life (<xref ref-type="bibr" rid="B9">9</xref>, <xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B15">15</xref>, <xref ref-type="bibr" rid="B17">17</xref>, <xref ref-type="bibr" rid="B29">29</xref>), others are diagnosed later, typically with hypogammaglobulinemia and impaired B cell function (<xref ref-type="bibr" rid="B9">9</xref>, <xref ref-type="bibr" rid="B30">30</xref>) (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>). Recurrent upper and lower respiratory tract infections are the most commonly reported manifestations. However, a broader spectrum of clinical features has been documented, including IgA nephropathy progressing to end-stage renal disease (<xref ref-type="bibr" rid="B16">16</xref>), conjunctivitis (<xref ref-type="bibr" rid="B31">31</xref>), glomerulonephritis and hematuria (<xref ref-type="bibr" rid="B11">11</xref>, <xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B31">31</xref>), IgA vasculitis (<xref ref-type="bibr" rid="B11">11</xref>), meningitis (<xref ref-type="bibr" rid="B31">31</xref>), and thrombocytopenia (<xref ref-type="bibr" rid="B11">11</xref>).</p>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Baseline Characteristics and Laboratory and Clinical Findings in Patients with CD19 Deficiency, Including Previously Reported Cases.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" rowspan="2" align="center">Patient Characteristic</th>
<th valign="middle" colspan="2" align="center">This paper</th>
<th valign="middle" colspan="6" align="center">Van Zelm (<xref ref-type="bibr" rid="B9">9</xref>, <xref ref-type="bibr" rid="B17">17</xref>) et&#xa0;al. and Artac et&#xa0;al. (<xref ref-type="bibr" rid="B25">25</xref>)</th>
<th valign="middle" align="center">Kanegane et&#xa0;al. (<xref ref-type="bibr" rid="B14">14</xref>)</th>
<th valign="middle" colspan="2" align="center">Vince et&#xa0;al. (<xref ref-type="bibr" rid="B16">16</xref>)</th>
<th valign="middle" align="center">Skendros et&#xa0;al. (<xref ref-type="bibr" rid="B15">15</xref>)</th>
<th valign="middle" align="center">Walker et&#xa0;al (<xref ref-type="bibr" rid="B30">30</xref>)</th>
</tr>
<tr>
<th valign="middle" align="center">P1</th>
<th valign="middle" align="center">P2</th>
<th valign="middle" align="center">P3</th>
<th valign="middle" align="center">P4</th>
<th valign="middle" align="center">P5</th>
<th valign="middle" align="center">P6</th>
<th valign="middle" align="center">P7</th>
<th valign="middle" align="center">P9</th>
<th valign="middle" align="center">P10</th>
<th valign="middle" align="center">P11</th>
<th valign="middle" align="center">P12</th>
<th valign="middle" align="center">P13</th>
<th valign="middle" align="center">P14</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="center">cDNA mutation</td>
<td valign="middle" colspan="2" align="center">c.232delC</td>
<td valign="middle" colspan="2" align="center">c.971dup</td>
<td valign="middle" colspan="3" align="center">c.1386_1387del</td>
<td valign="middle" align="center">c.156G &gt; C</td>
<td valign="middle" align="center">c.947-1G&gt;T, aberrant splicing with exon 6 skipped</td>
<td valign="middle" align="center">c.1464delC</td>
<td valign="middle" align="center">c.1653_1671 + 9delins23bp</td>
<td valign="middle" align="center">c.947-1G&gt;T, aberrant splicing with exon 6 skipped</td>
<td valign="middle" align="center">c.622del</td>
</tr>
<tr>
<td valign="middle" align="center">Protein change</td>
<td valign="middle" colspan="2" align="center">p.Leu78Trpfs*52</td>
<td valign="middle" colspan="2" align="center">p.Arg325Alafs*4</td>
<td valign="middle" colspan="3" align="center">p.Asn463Argfs*3</td>
<td valign="middle" align="center">p.Trp52Cys</td>
<td valign="middle" align="center">p.Ala316Aspfs*5</td>
<td valign="middle" align="center">p.Ser489Alafs*15</td>
<td valign="middle" align="center">p.Thr552fs*24</td>
<td valign="middle" align="center">p.Ala316Aspfs*5</td>
<td valign="middle" align="center">p.Ser208Profs*19</td>
</tr>
<tr>
<td valign="middle" align="center">Sex</td>
<td valign="middle" align="center">Female</td>
<td valign="middle" align="center">Male</td>
<td valign="middle" align="center">Female</td>
<td valign="middle" align="center">Male</td>
<td valign="middle" align="center">Male</td>
<td valign="middle" align="center">Female</td>
<td valign="middle" align="center">Female</td>
<td valign="middle" align="center">Male</td>
<td valign="middle" align="center">Male</td>
<td valign="middle" align="center">Female</td>
<td valign="middle" align="center">Female</td>
<td valign="middle" align="center">Male</td>
<td valign="middle" align="center">Female</td>
</tr>
<tr>
<td valign="middle" align="center">Age at onset</td>
<td valign="middle" align="center">8m</td>
<td valign="middle" align="center">5m</td>
<td valign="middle" align="center">1y</td>
<td valign="middle" align="center">6m</td>
<td valign="middle" align="center">7y</td>
<td valign="middle" align="center">6y</td>
<td valign="middle" align="center">5y</td>
<td valign="middle" align="center">6y</td>
<td valign="middle" align="center">5y</td>
<td valign="middle" align="center">Infant</td>
<td valign="middle" align="center">13y</td>
<td valign="middle" align="center">3m</td>
<td valign="middle" align="center">10y</td>
</tr>
<tr>
<td valign="middle" align="center">Age at evaluation</td>
<td valign="middle" align="center">10y</td>
<td valign="middle" align="center">5m</td>
<td valign="middle" align="center">10y</td>
<td valign="middle" align="center">12y</td>
<td valign="middle" align="center">35y</td>
<td valign="middle" align="center">33y</td>
<td valign="middle" align="center">49y</td>
<td valign="middle" align="center">6y</td>
<td valign="middle" align="center">8y</td>
<td valign="middle" align="center">11y</td>
<td valign="middle" align="center">31y</td>
<td valign="middle" align="center">11y</td>
<td valign="middle" align="center">30y</td>
</tr>
<tr>
<td valign="middle" align="center">Consanguinity</td>
<td valign="middle" colspan="2" align="center">Yes</td>
<td valign="middle" colspan="2" align="center">Yes</td>
<td valign="middle" colspan="3" align="center">No</td>
<td valign="middle" align="center">Yes</td>
<td valign="middle" align="center">No</td>
<td valign="middle" align="center">Unknown</td>
<td valign="middle" align="center">Yes</td>
<td valign="middle" align="center">Unknown</td>
<td valign="middle" align="center">Yes</td>
</tr>
<tr>
<td valign="middle" align="center">Ancestry</td>
<td valign="middle" colspan="2" align="center">Algeria</td>
<td valign="middle" colspan="2" align="center">Turkey</td>
<td valign="middle" colspan="3" align="center">Colombia</td>
<td valign="middle" align="center">Morocco</td>
<td valign="middle" align="center">Japan</td>
<td valign="middle" align="center">Kurdish</td>
<td valign="middle" align="center">Morocco</td>
<td valign="middle" align="center">France</td>
<td valign="middle" align="center">United Kingdom</td>
</tr>
<tr>
<td valign="middle" align="center">ENT infections</td>
<td valign="middle" align="center">Yes</td>
<td valign="middle" align="center">Yes</td>
<td valign="middle" align="center">Yes</td>
<td valign="middle" align="center">Yes</td>
<td valign="middle" align="center">Yes</td>
<td valign="middle" align="center">Yes</td>
<td valign="middle" align="center">Yes</td>
<td valign="middle" align="center">Yes</td>
<td valign="middle" align="center">Yes</td>
<td valign="middle" align="center">Yes</td>
<td valign="middle" align="center">Yes</td>
<td valign="middle" align="center">Yes</td>
<td valign="middle" align="center">Yes</td>
</tr>
<tr>
<td valign="middle" align="center">Pulmonary infections</td>
<td valign="middle" align="center">Yes</td>
<td valign="middle" align="center">Yes</td>
<td valign="middle" align="center">Yes</td>
<td valign="middle" align="center">Yes</td>
<td valign="middle" align="center">Yes</td>
<td valign="middle" align="center">Yes</td>
<td valign="middle" align="center">Yes</td>
<td valign="middle" align="center">Yes</td>
<td valign="middle" align="center">Yes</td>
<td valign="middle" align="center">/</td>
<td valign="middle" align="center">Yes</td>
<td valign="middle" align="center">Yes</td>
<td valign="middle" align="center">Yes</td>
</tr>
<tr>
<td valign="middle" align="center">Gastro-intestinal infections</td>
<td valign="middle" align="center">/</td>
<td valign="middle" align="center">/</td>
<td valign="middle" align="center">/</td>
<td valign="middle" align="center">/</td>
<td valign="middle" align="center">Yes</td>
<td valign="middle" align="center">Yes</td>
<td valign="middle" align="center">Yes</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">Yes</td>
<td valign="middle" align="center">Yes (giardiasis)</td>
<td valign="middle" align="center">/</td>
<td valign="middle" align="center">/</td>
<td valign="middle" align="center">Yes</td>
</tr>
<tr>
<td valign="middle" align="center">Mucocutaneous infection</td>
<td valign="middle" align="center">Cutaneous Herpes,<break/>Fungal skin infections</td>
<td valign="middle" align="center">/</td>
<td valign="middle" align="center">/</td>
<td valign="middle" align="center">/</td>
<td valign="middle" align="center">Bacterial<break/>conjunctivitis,</td>
<td valign="middle" align="center">Herpes zoster infection, conjunctivitis,<break/>dacryocystitis</td>
<td valign="middle" align="center">Skin abscesses, conjunctivitis,</td>
<td valign="middle" align="center">Skin infections</td>
<td valign="middle" align="center">/</td>
<td valign="middle" align="center">/</td>
<td valign="middle" align="center">/</td>
<td valign="middle" align="center">/</td>
<td valign="middle" align="center">/</td>
</tr>
<tr>
<td valign="middle" align="center">Other infections &amp; manifestations</td>
<td valign="middle" align="center">Urinary tract infections, pyelonephritis</td>
<td valign="middle" align="center">/</td>
<td valign="middle" align="center">Meningitis,<break/>Hematuria,</td>
<td valign="middle" align="center">/</td>
<td valign="middle" align="center">/</td>
<td valign="middle" align="center">/</td>
<td valign="middle" align="center">/</td>
<td valign="middle" align="center">/</td>
<td valign="middle" align="center">Pyelonephritis, thrombocytopenia</td>
<td valign="middle" align="center">Meningitis</td>
<td valign="middle" align="center">Hematuria,<break/>IgA<break/>Nephropathy, end-stage renal disease, failure to thrive</td>
<td valign="middle" align="center">Chronic obstructive pulmonary disease, atopy</td>
<td valign="middle" align="center">/</td>
</tr>
<tr>
<td valign="middle" align="center">Autoimmunity &amp; autoantibodies</td>
<td valign="middle" align="center">glomerulo-nephritis,<break/>anti-F-actin (+), ANA (+)</td>
<td valign="middle" align="center">Anti-F-actin (+)</td>
<td valign="middle" align="center">glomerulo-nephritis<break/>ANA (+)<break/>SSA (+)</td>
<td valign="middle" align="center">ANA (&#x2013;)</td>
<td valign="middle" align="center">(&#x2013;)</td>
<td valign="middle" align="center">(-)</td>
<td valign="middle" align="center">(-)</td>
<td valign="middle" align="center">(-)</td>
<td valign="middle" align="center">N. A</td>
<td valign="middle" align="center">(-)</td>
<td valign="middle" align="center">ANA (+) but anti-DNA and anti-ENA (-)</td>
<td valign="middle" align="center">ANA (-)</td>
<td valign="middle" align="center">ANA (-)</td>
</tr>
<tr>
<td valign="middle" align="center">IgG (mg/L)</td>
<td valign="middle" align="center">436 (&#x2198;)</td>
<td valign="middle" align="center">158 (&#x2197;)</td>
<td valign="middle" align="center">325 (&#x2198;)</td>
<td valign="middle" align="center">(&#x2198;)</td>
<td valign="middle" align="center">204 (&#x2198;)</td>
<td valign="middle" align="center">198 (&#x2198;)</td>
<td valign="middle" align="center">256 (&#x2198;)</td>
<td valign="middle" align="center">300 (&#x2198;)</td>
<td valign="middle" align="center">249 (&#x2198;)</td>
<td valign="middle" align="center">230 (&#x2198;)</td>
<td valign="middle" align="center">493 (&#x2198;)</td>
<td valign="middle" align="center">440 (&#x2198;)</td>
<td valign="middle" align="center">350 (&#x2198;)</td>
</tr>
<tr>
<td valign="middle" align="center">IgA (mg/L)</td>
<td valign="middle" align="center">144 (N)</td>
<td valign="middle" align="center">86.4 (&#x2197;)</td>
<td valign="middle" align="center">292 (&#x2198;)</td>
<td valign="middle" align="center">(&#x2198;)</td>
<td valign="middle" align="center">18 (&#x2198;)</td>
<td valign="middle" align="center">7 (&#x2198;)</td>
<td valign="middle" align="center">19 (&#x2198;)</td>
<td valign="middle" align="center">50 (N)</td>
<td valign="middle" align="center">10 (&#x2198;)</td>
<td valign="middle" align="center">125 (N)</td>
<td valign="middle" align="center">350 (N)</td>
<td valign="middle" align="center">(N)</td>
<td valign="middle" align="center">(N)</td>
</tr>
<tr>
<td valign="middle" align="center">IgM (mg/L)</td>
<td valign="middle" align="center">42 (N)</td>
<td valign="middle" align="center">45.4 (N)</td>
<td valign="middle" align="center">25 (&#x2198;)</td>
<td valign="middle" align="center">(N)</td>
<td valign="middle" align="center">47 (&#x2198;)</td>
<td valign="middle" align="center">30 (&#x2198;)</td>
<td valign="middle" align="center">63 (N)</td>
<td valign="middle" align="center">40 (&#x2198;)</td>
<td valign="middle" align="center">18 (&#x2198;)</td>
<td valign="middle" align="center">35 (&#x2198;)</td>
<td valign="middle" align="center">135 (N)</td>
<td valign="middle" align="center">40 (&#x2198;)</td>
<td valign="middle" align="center">(N)</td>
</tr>
<tr>
<td valign="middle" align="center">Lymphocytes (cell/mm<sup>3</sup>)</td>
<td valign="middle" align="center">5124 (N)</td>
<td valign="middle" align="center">1869 (&#x2198;)</td>
<td valign="middle" align="center">4480 (&#x2197;)</td>
<td valign="middle" align="center">(N)</td>
<td valign="middle" align="center">2182 (N)</td>
<td valign="middle" align="center">2508 (N)</td>
<td valign="middle" align="center">2059 (N)</td>
<td valign="middle" align="center">1630 (&#x2198;)</td>
<td valign="middle" align="center">N.A</td>
<td valign="middle" align="center">2,745 (N)</td>
<td valign="middle" align="center">1,440 (N)</td>
<td valign="middle" align="center">N.A</td>
<td valign="middle" align="center">(N)</td>
</tr>
<tr>
<td valign="middle" align="center">CD3+T cells (cell/mm<sup>3</sup>)</td>
<td valign="middle" align="center">4447 (&#x2197;)</td>
<td valign="middle" align="center">1482 (&#x2198;)</td>
<td valign="middle" align="center">3270(&#x2197;)</td>
<td valign="middle" align="center">(N)</td>
<td valign="middle" align="center">1520 (N)</td>
<td valign="middle" align="center">1855 (N)</td>
<td valign="middle" align="center">1384 (N)</td>
<td valign="middle" align="center">1107 (&#x2198;)</td>
<td valign="middle" align="center">1775 (N)</td>
<td valign="middle" align="center">2,141 (N)</td>
<td valign="middle" align="center">1,152 (N)</td>
<td valign="middle" align="center">(N)</td>
<td valign="middle" align="center">(N)</td>
</tr>
<tr>
<td valign="middle" align="center">CD4+T cells(cell/mm<sup>3</sup>)</td>
<td valign="middle" align="center">2086 (&#x2197;)</td>
<td valign="middle" align="center">859 (&#x2198;)</td>
<td valign="middle" align="center">1792 (N)</td>
<td valign="middle" align="center">(N)</td>
<td valign="middle" align="center">713 (N)</td>
<td valign="middle" align="center">1070 (N)</td>
<td valign="middle" align="center">620 (N)</td>
<td valign="middle" align="center">637 (&#x2198;)</td>
<td valign="middle" align="center">1064 (N)</td>
<td valign="middle" align="center">1,125 (N)</td>
<td valign="middle" align="center">590 (N)</td>
<td valign="middle" align="center">N.A</td>
<td valign="middle" align="center">(N)</td>
</tr>
<tr>
<td valign="middle" align="center">CD8+T cells (cell/mm<sup>3</sup>)</td>
<td valign="middle" align="center">1925 (&#x2197;)</td>
<td valign="middle" align="center">537 (&#x2198;)</td>
<td valign="middle" align="center">1478 (N)</td>
<td valign="middle" align="center">(N)</td>
<td valign="middle" align="center">720 (N)</td>
<td valign="middle" align="center">692 (N)</td>
<td valign="middle" align="center">696 (N)</td>
<td valign="middle" align="center">353 (&#x2198;)</td>
<td valign="middle" align="center">781 (N)</td>
<td valign="middle" align="center">796 (N)</td>
<td valign="middle" align="center">533 (N)</td>
<td valign="middle" align="center">N.A</td>
<td valign="middle" align="center">(N)</td>
</tr>
<tr>
<td valign="middle" align="center">CD4+/CD8+ Ratio</td>
<td valign="middle" align="center">1.08 (&#x2198;)</td>
<td valign="middle" align="center">1.60 (N)</td>
<td valign="middle" align="center">1.21 (&#x2198;)</td>
<td valign="middle" align="center">N.A</td>
<td valign="middle" align="center">0.99 (&#x2198;)</td>
<td valign="middle" align="center">1.54 (N)</td>
<td valign="middle" align="center">0.89 (&#x2198;)</td>
<td valign="middle" align="center">1.80 (N)</td>
<td valign="middle" align="center">1.36 (&#x2198;)</td>
<td valign="middle" align="center">1.41 (&#x2198;)</td>
<td valign="middle" align="center">1.10 (&#x2198;)</td>
<td valign="middle" align="center">N.A</td>
<td valign="middle" align="center">(N)</td>
</tr>
<tr>
<td valign="middle" align="center">CD20+ B cells (cell/mm<sup>3</sup>)</td>
<td valign="middle" align="center">562 (N)</td>
<td valign="middle" align="center">266 (N)</td>
<td valign="middle" align="center">806 (N)</td>
<td valign="middle" align="center">(N)</td>
<td valign="middle" align="center">286 (N)</td>
<td valign="middle" align="center">521 (N)</td>
<td valign="middle" align="center">268 (N)</td>
<td valign="middle" align="center">321 (N)</td>
<td valign="middle" align="center">N.A</td>
<td valign="middle" align="center">300 (N)</td>
<td valign="middle" align="center">61 (&#x2198;)</td>
<td valign="middle" align="center">11% (N)</td>
<td valign="middle" align="center">(N)</td>
</tr>
<tr>
<td valign="middle" align="center">CD56+NK cells (cell/mm<sup>3</sup>)</td>
<td valign="middle" align="center">115 (N)</td>
<td valign="middle" align="center">119 (N)</td>
<td valign="middle" align="center">313 (N)</td>
<td valign="middle" align="center">(N)</td>
<td valign="middle" align="center">277 (N)</td>
<td valign="middle" align="center">348 (N)</td>
<td valign="middle" align="center">288 (N)</td>
<td valign="middle" align="center">156 (N)</td>
<td valign="middle" align="center">N.A</td>
<td valign="middle" align="center">184 (N)</td>
<td valign="middle" align="center">23 (&#x2198;)</td>
<td valign="middle" align="center">16% (N)</td>
<td valign="middle" align="center">(N)</td>
</tr>
<tr>
<td valign="middle" align="center">mzB cells (%)</td>
<td valign="middle" align="center">2.29 (&#x2198;)</td>
<td valign="middle" align="center">1,67 (N)</td>
<td valign="middle" align="center">N.A</td>
<td valign="middle" align="center">(&#x2198;)</td>
<td valign="middle" align="center">(&#x2198;)</td>
<td valign="middle" align="center">(&#x2198;)</td>
<td valign="middle" align="center">(&#x2198;)</td>
<td valign="middle" align="center">3 (&#x2198;)</td>
<td valign="middle" align="center">5.4 (&#x2198;)</td>
<td valign="middle" align="center">8 (N)</td>
<td valign="middle" align="center">22 (&#x2197;)</td>
<td valign="middle" align="center">2 (&#x2198;)</td>
<td valign="middle" align="center">(&#x2198;)</td>
</tr>
<tr>
<td valign="middle" align="center">smB cells (%)</td>
<td valign="middle" align="center">2.50 (&#x2198;)</td>
<td valign="middle" align="center">0.44 (N)</td>
<td valign="middle" align="center">N.A</td>
<td valign="middle" align="center">(&#x2198;)</td>
<td valign="middle" align="center">(&#x2198;)</td>
<td valign="middle" align="center">(&#x2198;)</td>
<td valign="middle" align="center">(&#x2198;)</td>
<td valign="middle" align="center">3 (&#x2198;)</td>
<td valign="middle" align="center">7.6 (&#x2198;)</td>
<td valign="middle" align="center">2 (&#x2198;)</td>
<td valign="middle" align="center">12 (&#x2197;)</td>
<td valign="middle" align="center">1 (&#x2198;)</td>
<td valign="middle" align="center">(&#x2198;)</td>
</tr>
<tr>
<td valign="middle" align="center">Transitional B cells (%)</td>
<td valign="middle" align="center">5.64 (N)</td>
<td valign="middle" align="center">55,6 (&#x2197;)</td>
<td valign="middle" align="center">N.A</td>
<td valign="middle" align="center">N.A</td>
<td valign="middle" align="center">N.A</td>
<td valign="middle" align="center">N.A</td>
<td valign="middle" align="center">N.A</td>
<td valign="middle" align="center">3 (&#x2198;)</td>
<td valign="middle" align="center">N.A</td>
<td valign="middle" align="center">0 (&#x2198;)</td>
<td valign="middle" align="center">0 (&#x2198;)</td>
<td valign="middle" align="center">5 (N)</td>
<td valign="middle" align="center">N.A</td>
</tr>
<tr>
<td valign="middle" align="center">Plasmablast (%)</td>
<td valign="middle" align="center">0.43 (&#x2198;)</td>
<td valign="middle" align="center">0,34 (N)</td>
<td valign="middle" align="center">N.A</td>
<td valign="middle" align="center">N.A</td>
<td valign="middle" align="center">N.A</td>
<td valign="middle" align="center">N.A</td>
<td valign="middle" align="center">N.A</td>
<td valign="middle" align="center">N.A</td>
<td valign="middle" align="center">N.A</td>
<td valign="middle" align="center">0 (&#x2198;)</td>
<td valign="middle" align="center">0 (&#x2198;)</td>
<td valign="middle" align="center">6 (&#x2198;)</td>
<td valign="middle" align="center">N.A</td>
</tr>
<tr>
<td valign="middle" align="center">CD21<sup>low</sup>CD38<sup>low</sup>B cells (%)</td>
<td valign="middle" align="center">0.21 (N)</td>
<td valign="middle" align="center">0,024 (N)</td>
<td valign="middle" align="center">N.A</td>
<td valign="middle" align="center">N.A</td>
<td valign="middle" align="center">N.A</td>
<td valign="middle" align="center">N.A</td>
<td valign="middle" align="center">N.A</td>
<td valign="middle" align="center">N.A</td>
<td valign="middle" align="center">N.A</td>
<td valign="middle" align="center">0.4 (N)</td>
<td valign="middle" align="center">2.9 (N)</td>
<td valign="middle" align="center">1 (N)</td>
<td valign="middle" align="center">N.A</td>
</tr>
<tr>
<td valign="middle" align="center">
<italic>In vitro</italic> B response</td>
<td valign="middle" align="center">N.D</td>
<td valign="middle" align="center">N.D</td>
<td valign="middle" align="center">(&#x2198;)</td>
<td valign="middle" align="center">N.A</td>
<td valign="middle" align="center">(&#x2198;)</td>
<td valign="middle" align="center">(&#x2198;)</td>
<td valign="middle" align="center">(&#x2198;)</td>
<td valign="middle" align="center">(&#x2198;)</td>
<td valign="middle" align="center">(&#x2198;)</td>
<td valign="middle" align="center">N.A</td>
<td valign="middle" align="center">N.A</td>
<td valign="middle" align="center">N.A</td>
<td valign="middle" align="center">(&#x2198;)</td>
</tr>
<tr>
<td valign="middle" align="center">Antibody response to vaccine</td>
<td valign="middle" align="center">(&#x2198;)</td>
<td valign="middle" align="center">N.A</td>
<td valign="middle" align="center">(&#x2198;)</td>
<td valign="middle" align="center">(&#x2198;)</td>
<td valign="middle" align="center">(&#x2198;)</td>
<td valign="middle" align="center">(&#x2198;)</td>
<td valign="middle" align="center">(&#x2198;)</td>
<td valign="middle" align="center">(&#x2198;)</td>
<td valign="middle" align="center">(&#x2198;)</td>
<td valign="middle" align="center">(&#x2198;)</td>
<td valign="middle" align="center">(N)</td>
<td valign="middle" align="center">(&#x2198;)</td>
<td valign="middle" align="center">(&#x2198;)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>y, year; m, month; Ig, immunoglobulin; mzB, marginal zone B cells; smB, switched memory B cells; (-), negative; (&#x2197;), increased; (&#x2198;), decreased; (N), within normal limits; N.A, not available. N.D, not done; ENT, Ear, Nose and Throat; ANA, anti-nuclear autoantibodies; ENA, extractable nuclear antigen.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>We report two Algerian siblings with CD19 deficiency who presented with a history of recurrent infections. The clinical features observed in both patients were largely consistent with those previously described in CD19-deficient individuals (<xref ref-type="bibr" rid="B29">29</xref>) with the exception of a few episodes of fungal and viral infections in patient 1, which resolved following appropriate treatment.</p>
<p>Only patient 1 showed a decrease in serum IgG levels along with impaired specific antibody production, consistent with the other CD19-deficient patients. In contrast, her younger brother (patient 2) exhibited significantly elevated serum levels of IgG and IgA rather than hypogammaglobulinemia. However, it is important to note that he was only 3 months old at the time of measurement, and the persistence of maternal IgG up to 6 months of age must be taken into account (<xref ref-type="bibr" rid="B32">32</xref>). Beyond the variability in clinical phenotype, CD19 deficiency also shows heterogeneity in age of onset&#x2014;ranging from infancy to adolescence or early adulthood&#x2014;as well as in serum immunoglobulin levels (IgG, IgA, IgM), which tend to decline progressively with age (<xref ref-type="bibr" rid="B32">32</xref>).</p>
<p>By analyzing the exome data of the index patient within the candidate disease locus, and subsequently validating the candidate variant through Sanger sequencing in affected individuals and their parents, we identified a biallelic nucleotide deletion in exon 2 of the <italic>CD19</italic> gene (c.232delC). This deletion causes a frameshift mutation (p.Leu78Trpfs*52), which could trigger nonsense-mediated mRNA decay (NMD). It is important to note that RNA-based analysis could not be performed due to limited resources. This constitutes a significant limitation of our study, particularly for evaluating this mechanism. We suggest that RNA-based functional analyses be considered in the future to validate this mechanism. Nevertheless, NMD is known to selectively eliminate mRNA transcripts containing premature stop codons, such as those resulting from nonsense or frameshift mutations (<xref ref-type="bibr" rid="B33">33</xref>, <xref ref-type="bibr" rid="B34">34</xref>).</p>
<p>Functional analysis revealed a complete absence of CD19 surface expression on B cells from the affected siblings, while their parents showed reduced levels. It has been reported that two of the three intracytoplasmic C-terminal tyrosine residues of CD19 are essential for signal transduction (<xref ref-type="bibr" rid="B1">1</xref>, <xref ref-type="bibr" rid="B35">35</xref>). Moreover, CD19 forms a signaling complex with complement receptor 2 (CD21), the tetraspanin CD81, and CD225 (Leu-13), which is crucial for transmitting signals from C3d-tagged antigens to the B cell receptor (BCR) and CD21 (<xref ref-type="bibr" rid="B1">1</xref>, <xref ref-type="bibr" rid="B2">2</xref>, <xref ref-type="bibr" rid="B8">8</xref>, <xref ref-type="bibr" rid="B35">35</xref>). In our patients, peripheral B cells displayed normal expression levels of CD81, but CD21 expression was reduced&#x2014;a finding consistent with previous reports in other CD19-deficient individuals (<xref ref-type="bibr" rid="B9">9</xref>, <xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B16">16</xref>, <xref ref-type="bibr" rid="B17">17</xref>, <xref ref-type="bibr" rid="B30">30</xref>). These observations support the notion that CD19 is essential for the stable expression of CD21, but not CD81. Conversely, CD19 surface expression is highly dependent on CD81. This interdependence was demonstrated in a patient harboring a homozygous G&gt;C substitution in exon 6 of the <italic>CD81</italic> gene (c.561 + 1G&gt;A), which resulted in a frameshift and premature stop codon (p.Glu188Metfs*13). In this case, both CD19 and CD81 were absent on the patient&#x2019;s B cells, with reduced expression observed in heterozygous carriers (<xref ref-type="bibr" rid="B11">11</xref>).</p>
<p>CD81&#x2014;the first tetraspanin identified&#x2014;has been proposed to play two key roles. First, it binds CD19 via its ectodomain and facilitates its trafficking to the cell surface through the secretory pathway (<xref ref-type="bibr" rid="B36">36</xref>, <xref ref-type="bibr" rid="B37">37</xref>). Second, CD81 regulates B cell signaling by controlling the localization of CD19 on the plasma membrane during B cell activation (<xref ref-type="bibr" rid="B38">38</xref>).</p>
<p>B cell receptor (BCR) signaling is finely tuned by surface coreceptors such as CD19 and CD22 (<xref ref-type="bibr" rid="B8">8</xref>). Upon antigen binding, the BCR initiates a signaling cascade through the phosphorylation of immunoreceptor tyrosine-based activation motifs (ITAMs) located in the cytoplasmic tails of Ig-&#x3b1; (CD79A) and Ig-&#x3b2; (CD79B), mediated by Src family tyrosine kinases including LYN, SYK, FYN, and BLK (<xref ref-type="bibr" rid="B39">39</xref>&#x2013;<xref ref-type="bibr" rid="B44">44</xref>). Activated SYK and other downstream kinases further phosphorylate key adaptor and signaling molecules such as BLNK, BCAP, and CD19 (<xref ref-type="bibr" rid="B45">45</xref>). Once phosphorylated, CD19 acts as a scaffold to recruit various effectors&#x2014;including phosphoinositide 3-kinase (PI3K), phospholipase C gamma (PLC&#x3b3;), NCK, BAM32, Bruton&#x2019;s tyrosine kinase (BTK), VAV1, and SHC&#x2014;to the plasma membrane. These interactions promote the formation of large multiprotein complexes that ultimately trigger a robust influx of extracellular calcium (Ca&#xb2;<sup>+</sup>), which is essential for full B cell activation (<xref ref-type="bibr" rid="B45">45</xref>&#x2013;<xref ref-type="bibr" rid="B48">48</xref>) (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>).</p>
<p>In CD19-deficient (CD19<sup>-</sup>/<sup>-</sup>) B cells, calcium flux is significantly reduced, as demonstrated in several studies (<xref ref-type="bibr" rid="B9">9</xref>, <xref ref-type="bibr" rid="B17">17</xref>, <xref ref-type="bibr" rid="B18">18</xref>, <xref ref-type="bibr" rid="B49">49</xref>). This finding supports the conclusion that the impaired B cell responses observed in CD19-deficient patients result from compromised signaling capacity, ultimately leading to both quantitative and qualitative deficiencies in immunoglobulin production.</p>
<p>Interestingly, elevated levels of autoantibodies targeting nuclear and liver autoantigens&#x2014;including antinuclear antibodies (ANA), anti-F-actin, and anti&#x2013;soluble liver antigen (anti-SLA) antibodies&#x2014;were detected in our patients. Similar findings have been reported in other individuals with CD19 deficiency (<xref ref-type="bibr" rid="B9">9</xref>, <xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B16">16</xref>, <xref ref-type="bibr" rid="B50">50</xref>), suggesting that autoimmunity is a common feature of this condition. The underlying mechanisms driving the high prevalence of autoantibodies in CD19 deficiency remain unclear. It is postulated that, during B cell differentiation and maturation&#x2014;particularly prior to the onset of somatic hypermutation&#x2014;mechanisms exist to eliminate or inactivate autoreactive B cells and thereby prevent autoantibody production (<xref ref-type="bibr" rid="B51">51</xref>, <xref ref-type="bibr" rid="B52">52</xref>). In CD19-deficient patients, this central tolerance checkpoint may be impaired, allowing autoreactive clones to escape deletion and produce a wide range of autoantibodies against self-antigens.</p>
<p>Moreover, CD19 has been proposed to play a key role in BCR-mediated signaling in B cell precursors. By enhancing the strength of the BCR signal, CD19 contributes to the negative selection of autoreactive B cells, helping to maintain immune tolerance&#x2002; (<xref ref-type="bibr" rid="B5">5</xref>). Further studies are warranted to clarify the precise role of CD19 in the development of autoimmune manifestations and to explore its potential involvement in broader autoimmune disorders.</p>
<p>Strikingly, the incidence of nephropathy among CD19-deficient patients appears to be relatively high. This complication was observed in our patient 1 and has also been reported in 3 out of 11 other documented cases. Supporting this clinical observation, Watanabe et&#xa0;al. (<xref ref-type="bibr" rid="B16">16</xref>) demonstrated a similar phenomenon in a CD19-deficient murine lupus model (CD19<sup>-</sup>/<sup>-</sup> NZB/W mice), generated from a cross between New Zealand Black and New Zealand White F1 hybrids. In this model, pathological features of nephritis&#x2014;including glomerulonephritis and interstitial nephritis&#x2014;developed significantly earlier, and overall survival was markedly reduced compared to wild-type controls. The study further revealed that CD19<sup>-</sup>/<sup>-</sup> lupus-prone mice failed to produce a subset of interleukin-10 (IL-10)&#x2013;producing regulatory B cells (Bregs), which are known to play a critical role in immune regulation. The absence of these Bregs likely contributes to the early onset and severity of nephritis observed in CD19-deficient mice and may similarly help explain the increased prevalence of renal involvement in CD19-deficient patients.</p>
<p>The eldest patient 1 experienced a viral skin infection of herpetic origin, along with several episodes of mucocutaneous fungal infections. These fungal infections responded well to topical treatment and did not recur after discontinuation of therapy. The occurrence of these opportunistic infections may be partially attributed to the family&#x2019;s socio-economic conditions, which could contribute to increased susceptibility. Furthermore, the patient suffered from malnutrition, resulting in significant weight loss (&#x2013;3 SD), a factor that can compromise immune defenses against opportunistic pathogens. Notably, the frequency of interleukin-17&#x2013;producing CD4<sup>+</sup> T cells (Th17 cells) which play a key role in antifungal immunity, was within normal limits in this patient, suggesting that her susceptibility to fungal infections was likely not due to Th17 cell deficiency.</p>
</sec>
<sec id="s5" sec-type="conclusions">
<title>Conclusion</title>
<p>In this report, we describe a case study of two siblings with CD19 deficiency caused by a novel homozygous mutation in the <italic>CD19</italic> gene, resulting in nonsense-mediated mRNA decay. The clinical and immunological features observed in both patients were consistent with those previously reported in the literature. Defective CD19-mediated signaling impaired normal B cell responses to antigenic stimulation, leading to poor antigen-specific antibody production. Notably, no additional complications commonly associated with common variable immunodeficiency (CVID) such as granulomatous disease or lymphoproliferation were observed in either patient. These findings support the classification of CD19 deficiency as a distinct and well-defined subset within the spectrum of predominantly antibody deficiencies.</p>
</sec>
</body>
<back>
<sec id="s6" sec-type="data-availability">
<title>Data availability statement</title>
<p>The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.</p>
</sec>
<sec id="s7" sec-type="ethics-statement">
<title>Ethics statement</title>
<p>The studies involving humans were approved by The Ethics Committee of the University Medical Center of Beni Messous. The studies were conducted in accordance with the local legislation and institutional requirements. Written informed consent for participation in this study was provided by the participants&#x2019; legal guardians/next of kin. Written informed consent was obtained from the individual(s) for the publication of any potentially identifiable images or data included in this article.</p>
</sec>
<sec id="s8" sec-type="author-contributions">
<title>Author contributions</title>
<p>BB: Software, Writing &#x2013; original draft, Methodology, Investigation, Validation, Writing &#x2013; review &amp; editing, Conceptualization. K-WC: Data curation, Formal Analysis, Software, Investigation, Validation, Writing &#x2013; review &amp; editing. LLM: Writing &#x2013; review &amp; editing. DL: Formal Analysis, Validation, Data curation, Investigation, Writing &#x2013; review &amp; editing, Software. SM: Data curation, Writing &#x2013; review &amp; editing, Investigation, Formal Analysis. FB: Validation, Writing &#x2013; review &amp; editing, Investigation, Formal Analysis. HS: Investigation, Writing &#x2013; review &amp; editing, Formal Analysis. LB: Formal Analysis, Writing &#x2013; review &amp; editing. IA: Writing &#x2013; review &amp; editing, Formal Analysis. FM: Writing &#x2013; review &amp; editing, Formal Analysis. HB: Investigation, Data curation, Writing &#x2013; review &amp; editing, Formal Analysis. BL: Writing &#x2013; review &amp; editing, Resources. JRD: Supervision, Visualization, Validation, Writing &#x2013; review &amp; editing. YL: Visualization, Writing &#x2013; review &amp; editing, Funding acquisition, Validation, Project administration, Supervision, Resources. RD: Conceptualization, Writing &#x2013; review &amp; editing, Funding acquisition, Resources, Project administration, Visualization.</p>
</sec>
<sec id="s9" sec-type="funding-information">
<title>Funding</title>
<p>The author(s) declare financial support was received for the research and/or publication of this article. This research was supported by the Issaad Hassani University medical center of Beni Messous.</p>
</sec>
<sec id="s10" 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>
<p>The author(s) declared that they were an editorial board member of Frontiers, at the time of submission. This had no impact on the peer review process and the final decision.</p>
</sec>
<sec id="s11" sec-type="ai-statement">
<title>Generative AI statement</title>
<p>The author(s) declare that no Generative AI was used in the creation of this manuscript.</p>
<p>Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.</p>
</sec>
<sec id="s12" sec-type="disclaimer">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<sec id="s13" sec-type="supplementary-material">
<title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fimmu.2025.1634146/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fimmu.2025.1634146/full#supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="Table1.docx" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document"/>
<supplementary-material xlink:href="Table2.docx" id="SM2" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document"/>
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