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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Cell. Neurosci.</journal-id>
<journal-title-group>
<journal-title>Frontiers in Cellular Neuroscience</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Cell. Neurosci.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">1662-5102</issn>
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<publisher-name>Frontiers Media S.A.</publisher-name>
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<article-meta>
<article-id pub-id-type="doi">10.3389/fncel.2026.1753241</article-id>
<article-version article-version-type="Corrected Version of Record" vocab="NISO-RP-8-2008"/>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Original Research</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Distinct cytokine-producing dendritic cell profiles in females and males with major depressive disorder</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Boller</surname>
<given-names>Anna-Lena</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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<contrib contrib-type="author">
<name>
<surname>Freff</surname>
<given-names>Jana</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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<contrib contrib-type="author">
<name>
<surname>Bast</surname>
<given-names>Maximilian</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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<name>
<surname>Schwarte</surname>
<given-names>Kathrin</given-names>
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<name>
<surname>Dannlowski</surname>
<given-names>Udo</given-names>
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<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
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<contrib contrib-type="author">
<name>
<surname>Baune</surname>
<given-names>Bernhard T.</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff5"><sup>5</sup></xref>
<xref ref-type="aff" rid="aff6"><sup>6</sup></xref>
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<surname>Scheu</surname>
<given-names>Stefanie</given-names>
</name>
<xref ref-type="aff" rid="aff7"><sup>7</sup></xref>
<xref ref-type="aff" rid="aff8"><sup>8</sup></xref>
<xref ref-type="author-notes" rid="fn0001"><sup>&#x2020;</sup></xref>
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<name>
<surname>Alferink</surname>
<given-names>Judith</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="corresp" rid="c001"><sup>&#x002A;</sup></xref>
<xref ref-type="author-notes" rid="fn0001"><sup>&#x2020;</sup></xref>
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<aff id="aff1"><label>1</label><institution>Department of Psychiatry, University of M&#x00FC;nster</institution>, <city>M&#x00FC;nster</city>, <country country="de">Germany</country></aff>
<aff id="aff2"><label>2</label><institution>Cells in Motion Interfaculty Cluster, University of M&#x00FC;nster</institution>, <city>M&#x00FC;nster</city>, <country country="de">Germany</country></aff>
<aff id="aff3"><label>3</label><institution>Institute for Translational Psychiatry, University of M&#x00FC;nster</institution>, <city>M&#x00FC;nster</city>, <country country="de">Germany</country></aff>
<aff id="aff4"><label>4</label><institution>Department of Psychiatry, Medical School and University Medical Center OWL, Protestant Hospital of the Bethel Foundation, Bielefeld University</institution>, <city>Bielefeld</city>, <country country="de">Germany</country></aff>
<aff id="aff5"><label>5</label><institution>Department of Psychiatry, University of Melbourne</institution>, <city>Melbourne</city>, <state>VIC</state>, <country country="au">Australia</country></aff>
<aff id="aff6"><label>6</label><institution>The Florey Institute of Neuroscience and Mental Health, University of Melbourne</institution>, <city>Melbourne</city>, <state>VIC</state>, <country country="au">Australia</country></aff>
<aff id="aff7"><label>7</label><institution>Institute of Immunology, University Medical Center Rostock</institution>, <city>Rostock</city>, <country country="de">Germany</country></aff>
<aff id="aff8"><label>8</label><institution>Institute of Medical Microbiology and Hospital Hygiene, Medical Faculty and University Hospital D&#x00FC;sseldorf, Heinrich Heine University</institution>, <city>D&#x00FC;sseldorf</city>, <country country="de">Germany</country></aff>
<author-notes>
<corresp id="c001"><label>&#x002A;</label>Correspondence: Judith Alferink, <email xlink:href="mailto:judith.alferink@ukmuenster.de">judith.alferink@ukmuenster.de</email></corresp>
<fn fn-type="equal" id="fn0001">
<label>&#x2020;</label>
<p>These authors have contributed equally to this work and share last authorship</p>
</fn>
</author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2026-02-09">
<day>09</day>
<month>02</month>
<year>2026</year>
</pub-date>
<pub-date publication-format="electronic" date-type="corrected" iso-8601-date="2026-02-24">
<day>24</day>
<month>02</month>
<year>2026</year>
</pub-date>
<pub-date publication-format="electronic" date-type="collection">
<year>2026</year>
</pub-date>
<volume>20</volume>
<elocation-id>1753241</elocation-id>
<history>
<date date-type="received">
<day>24</day>
<month>11</month>
<year>2025</year>
</date>
<date date-type="rev-recd">
<day>23</day>
<month>01</month>
<year>2026</year>
</date>
<date date-type="accepted">
<day>26</day>
<month>01</month>
<year>2026</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2026 Boller, Freff, Bast, Schwarte, Dannlowski, Baune, Scheu and Alferink.</copyright-statement>
<copyright-year>2026</copyright-year>
<copyright-holder>Boller, Freff, Bast, Schwarte, Dannlowski, Baune, Scheu and Alferink</copyright-holder>
<license>
<ali:license_ref start_date="2026-02-09">https://creativecommons.org/licenses/by/4.0/</ali:license_ref>
<license-p>This is an open-access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License (CC BY)</ext-link>. The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</license-p>
</license>
</permissions>
<abstract>
<sec id="sec1001">
<title>Introduction</title>
<p>Major depressive disorder (MDD) is a revalent and disabling condition increasingly associated with immune dysregulation. Dendritic cells (DCs) are key immune sentinels that shape inflammatory responses and T-cell polarization, including Th17 pathways implicated in depression-related mild inflammation. Given well-documented sex differences in immune responses and cytokine profiles in MDD, differential DC activation may represent a mechanistic link between sex-associated immune cell profiles in depression. However, DCs remain insufficiently characterized in MDD.</p>
</sec>
<sec id="sec1002">
<title>Methods</title>
<p>We performed an exploratory study using flow cytometry-based immunophenotyping to assess circulating DC subsets, including CD1c<sup>+</sup> and CD141<sup>+</sup> conventional DCs (cDCs), plasmacytoid DCs (pDCs), and their cytokine profiles in individuals with MDD (<italic>n</italic> = 55) and healthy controls (HC, <italic>n</italic> = 32). Stratification by depression severity and sex, together with correlation and multivariate linear regression analyses, and cluster analysis, was used to examine associations between DC subsets and depressive symptom severity in females and males.</p>
</sec>
<sec id="sec1003">
<title>Results</title>
<p>Stratification by HAM-D17 scores revealed reduced counts of pDCs and increased frequencies of CD11c<sup>+</sup> cDCs in the peripheral blood (PB) of severely depressed participants compared to HC or mildly depressed patients, respectively. Regarding cytokine-producing DCs, sex-stratified analyses showed that frequencies of IL-23<sup>+</sup> cDCs were elevated and symptom-associated only in females with MDD compared to sex-matched controls, whereas frequencies of TNF<sup>+</sup>, IL-1&#x03B2;<sup>+</sup>, and IL-6<sup>+</sup> cDCs were selectively increased in depressed males. Cluster analyses identified distinct female- and male-specific DC subset patterns distinguishing individuals with MDD from HC. Multivariate linear regression revealed a significant predictive contribution of cytokine-producing DCs, together with age and BMI, in females but not in males.</p>
</sec>
<sec id="sec1004">
<title>Discussion</title>
<p>These findings demonstrate sex-specific alterations in cytokine-producing DCs in MDD and a strong association between IL-23<sup>+</sup> cDCs and depressive symptom severity, suggesting a key role for these cells in immune dysregulation, particularly in females with depression.</p>
</sec>
</abstract>
<kwd-group>
<kwd>cytokines</kwd>
<kwd>dendritic cells</kwd>
<kwd>female</kwd>
<kwd>IL-23</kwd>
<kwd>immune system</kwd>
<kwd>inflammation</kwd>
<kwd>major depressive disorder</kwd>
<kwd>male</kwd>
</kwd-group>
<funding-group>
<award-group id="gs1">
<funding-source id="sp1">
<institution-wrap>
<institution>Alzheimer Forschung Initiative</institution>
<institution-id institution-id-type="doi" vocab="open-funder-registry" vocab-identifier="10.13039/open_funder_registry">10.13039/100010146</institution-id>
</institution-wrap>
</funding-source>
</award-group>
<award-group id="gs2">
<funding-source id="sp2">
<institution-wrap>
<institution>German Research Foundation</institution>
</institution-wrap>
</funding-source>
</award-group>
<award-group id="gs3">
<funding-source id="sp3">
<institution-wrap>
<institution>DFG</institution>
</institution-wrap>
</funding-source>
</award-group>
<award-group id="gs4">
<funding-source id="sp4">
<institution-wrap>
<institution>German Research Foundation</institution>
</institution-wrap>
</funding-source>
<award-id rid="sp4">DA1151</award-id>
<award-id rid="sp4">FOR2107</award-id>
</award-group>
<funding-statement>The author(s) declared that financial support was received for this work and/or its publication. UD was funded by the German Research Foundation (DFG, grant FOR2107 DA1151/5&#x2013;1, DA1151/5&#x2013;2, DA1151/9&#x2013;1, DA1151/10&#x2013;1 and DA1151/11&#x2013;1 to UD; SFB/TRR 393, project grant no 521379614) and the Interdisciplinary Center for Clinical Research (IZKF) of the medical faculty of M&#x00FC;nster (grant Dan3/022/22 to UD). The work of SS was funded by the DFG (SCHE692/6&#x2013;1, SCHE692/8&#x2013;1 and 270650915/GRK2158) and the Manchot Foundation. The work of JA was supported by the DFG FOR2107 AL1145/5&#x2013;2, IMF DL121204 and in part by the SFB/TRR 393&#x2013;1 consortium from the DFG, project grant no. 521379614, the German Research Foundation (DFG) EXC 1003 (grant FF-2014-01 Cells in Motion&#x2013;Cluster of Excellence, M&#x00FC;nster, Germany), NEURON-ERA-NET 2021 (MINERVA, DLR FKZ 01EW2209B), and Alzheimer Forschung Initiative e. V. (grant no. 14835). We acknowledge support from the Open Access Publication Fund of the University of M&#x00FC;nster.</funding-statement>
</funding-group>
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<table-count count="3"/>
<equation-count count="0"/>
<ref-count count="83"/>
<page-count count="15"/>
<word-count count="10682"/>
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<custom-meta-group>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Non-Neuronal Cells</meta-value>
</custom-meta>
</custom-meta-group>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="sec1">
<label>1</label>
<title>Introduction</title>
<p>Major depressive disorder (MDD) is a common mental illness and one of the leading causes of disability worldwide (<xref ref-type="bibr" rid="ref55">McIntyre and Lee, 2016</xref>; <xref ref-type="bibr" rid="ref61">Otte et al., 2016</xref>). At least one-third of patients experience recurrent episodes, contributing to its chronic and relapsing course (<xref ref-type="bibr" rid="ref37">Kessler and Bromet, 2013</xref>). The etiology of MDD involves a complex interplay of genetic and environmental factors, including common and rare genetic variants, as well as environmental stressors (<xref ref-type="bibr" rid="ref61">Otte et al., 2016</xref>; <xref ref-type="bibr" rid="ref14">Carvalho Silva et al., 2024</xref>; <xref ref-type="bibr" rid="ref36">Kendall et al., 2021</xref>; <xref ref-type="bibr" rid="ref42">Krishnan and Nestler, 2008</xref>; <xref ref-type="bibr" rid="ref70">Schramm et al., 2020</xref>). Beyond these well-established contributors, growing evidence points to immune dysregulation as a key pathophysiological mechanism in MDD. Elevated levels of pro-inflammatory cytokines and chemokines, together with altered frequencies and increased activation of immune cells in peripheral blood (PB), have been reported in individuals with depression (<xref ref-type="bibr" rid="ref10">Beurel et al., 2020</xref>; <xref ref-type="bibr" rid="ref58">Miller, 2025</xref>; <xref ref-type="bibr" rid="ref59">Miller et al., 2009</xref>). Within this inflammatory context, dendritic cells (DCs) are of particular interest due to their central role in linking innate and adaptive immune responses (<xref ref-type="bibr" rid="ref30">Guilliams et al., 2016</xref>; <xref ref-type="bibr" rid="ref76">Steinman, 2012</xref>). However, their cytokine-producing capacity and relationship with depressive symptoms and severity have not yet been investigated.</p>
<p>DCs are a heterogeneous group of peripheral immune cells specialized in antigen presentation (<xref ref-type="bibr" rid="ref71">Segura, 2016</xref>). They recognize pathogen-associated (PAMPs) and damage-associated molecular patterns (DAMPs) that signal infection or cellular stress, thereby initiating adaptive immune responses by presenting antigenic peptides to na&#x00EF;ve T cells (<xref ref-type="bibr" rid="ref30">Guilliams et al., 2016</xref>; <xref ref-type="bibr" rid="ref57">Mildner and Jung, 2014</xref>). Upon antigen uptake within a specific cytokine milieu, DCs upregulate MHC class II, costimulatory molecules, and chemokine receptors, enabling migration to lymph nodes to prime na&#x00EF;ve T cells (<xref ref-type="bibr" rid="ref72">Segura and Villadangos, 2009</xref>). In humans, conventional DCs (cDCs) comprise CD1c<sup>+</sup> cDCs (DC2), the most abundant subset in PB, which primarily activate CD4<sup>+</sup> T cells, and CD141<sup>+</sup> cDCs (DC1), a smaller subset specialized in cross-presentation to CD8<sup>+</sup> T cells and antiviral or antitumor immunity (<xref ref-type="bibr" rid="ref6">Balan et al., 2019</xref>; <xref ref-type="bibr" rid="ref19">Collin and Ginhoux, 2019</xref>). Furthermore, type 3 DCs (DC3s) were discovered in humans and mice, as an independent lineage of DCs arising from Ly6C<sup>+</sup> monocyte-DC progenitors. DC3 have been attributed a high capacity for the <italic>in vitro</italic> induction of Th17 cells (<xref ref-type="bibr" rid="ref50">Liu et al., 2023</xref>; <xref ref-type="bibr" rid="ref82">Villani et al., 2017</xref>).</p>
<p>DCs produce a broad range of cytokines, including TNF, IL-1&#x03B2;, IL-6, IL-10, IL-12, and IL-23, many of which have been reported to be elevated in the PB of individuals with depression (<xref ref-type="bibr" rid="ref18">Collin and Bigley, 2018</xref>; <xref ref-type="bibr" rid="ref24">Farooq et al., 2017</xref>; <xref ref-type="bibr" rid="ref31">Haapakoski et al., 2015</xref>; <xref ref-type="bibr" rid="ref41">Kohler et al., 2017</xref>; <xref ref-type="bibr" rid="ref46">Leite Dantas et al., 2021</xref>). Additionally, DCs exert anti-inflammatory functions by secreting IL-10 and transforming growth factor (TGF)-<italic>&#x03B2;</italic>, promoting regulatory T-cell (Treg) expansion, and upregulating indoleamine 2,3-dioxygenase (IDO), a key enzyme in tryptophan metabolism implicated in MDD (<xref ref-type="bibr" rid="ref46">Leite Dantas et al., 2021</xref>; <xref ref-type="bibr" rid="ref56">Mellor and Munn, 2004</xref>). Plasmacytoid DCs (pDCs) represent a minor subset of circulating DCs, and a small subset of those cells produces high amounts of type I interferons (IFNs) during antiviral responses (<xref ref-type="bibr" rid="ref2">Ali et al., 2019</xref>; <xref ref-type="bibr" rid="ref67">Reizis, 2019</xref>; <xref ref-type="bibr" rid="ref54">Mann-Nuttel et al., 2021</xref>).</p>
<p>Sex has a significant impact on immune function, with males and females differing in specific innate and adaptive immune responses, which may contribute to their differential susceptibility to autoimmune diseases and viral infections (<xref ref-type="bibr" rid="ref40">Klein and Flanagan, 2016</xref>). Growing evidence indicates that sex-specific biological mechanisms influence the vulnerability, course, and treatment outcomes of depression. Women show a higher prevalence of MDD and experience greater rates of residual symptoms and treatment resistance, potentially reflecting differences in genetic regulation of neural circuitry and plasticity, neurotransmitter systems, hormonal milieu, and immune modulation (<xref ref-type="bibr" rid="ref22">Di Benedetto et al., 2024</xref>; <xref ref-type="bibr" rid="ref43">Kuehner, 2003</xref>). Supporting this, a recent meta-analysis of inflammatory profiles in adults with MDD reported that women with depression exhibited significantly higher circulating levels of CRP and IL-6 compared to healthy women, whereas these associations were absent in men (<xref ref-type="bibr" rid="ref35">Jarkas et al., 2024</xref>). These findings underscore the importance of accounting for biological sex in studies investigating cytokine production in depression.</p>
<p>Few studies have examined DCs in humans or rodent models of depressive disorder. A recent human study using immunophenotyping of circulating immune cells in MDD found that effector memory CD4<sup>+</sup> T cells negatively predicted improvement of depressive symptoms after 3&#x202F;months of treatment, whereas pDCs predicted a reduction in hopelessness (<xref ref-type="bibr" rid="ref77">Stolfi et al., 2025</xref>). Another human study identified DCs as mediators linking social stress to reduced efficacy of immunogenic chemotherapy (<xref ref-type="bibr" rid="ref83">Yang et al., 2019</xref>). This effect was driven by glucocorticoid-induced upregulation of TSC22D3 (GILZ), which impairs DC antigen presentation (<xref ref-type="bibr" rid="ref16">Cohen et al., 2006</xref>; <xref ref-type="bibr" rid="ref81">Vetillard and Schlecht-Louf, 2018</xref>). Elevated TSC22D3 expression correlated with higher cortisol, negative mood, and poor treatment response, while in mice, stress-induced glucocorticoid signaling increased TSC22D3 in tumor-infiltrating DCs suppressing type I IFN and T cell-derived IFN-<italic>&#x03B3;</italic> responses (<xref ref-type="bibr" rid="ref83">Yang et al., 2019</xref>). Depression-associated behaviors have also been shown to alter DC phenotype and function. Six days of social disruption stress induced a mature, pro-inflammatory profile in splenic DCs of subordinate mice, characterized by increased MHC class I, CD80, CD44, TNF, and IL-6 expression and glucocorticoid resistance (<xref ref-type="bibr" rid="ref65">Powell et al., 2009</xref>). Adoptive transfer of these DCs enhanced antiviral T-cell responses and tumor immunity in na&#x00EF;ve recipients (<xref ref-type="bibr" rid="ref66">Powell et al., 2011</xref>). Our previous work demonstrated stress-induced alterations in DC phenotype and cytokine profiles in a mouse model of depression-like behavior. We found that chronic social defeat stress reduced splenic DC frequencies, while stress-susceptible mice exhibited enhanced cDC maturation characterized by elevated MHC class II and CD80 expression, increased Th17 cells, and higher corticosterone levels (<xref ref-type="bibr" rid="ref46">Leite Dantas et al., 2021</xref>; <xref ref-type="bibr" rid="ref3">Ambree et al., 2018</xref>).</p>
<p>In the present study, we characterized circulating DCs in individuals with MDD and HC, stratified by depression severity and sex, and examined their associations with depressive symptoms and their predictive value for disease severity. Our findings reveal alterations in DC populations and their effector cytokines in MDD, suggesting a contributory role in the immunopathophysiology of depression.</p>
</sec>
<sec sec-type="materials|methods" id="sec2">
<label>2</label>
<title>Materials and methods</title>
<sec id="sec3">
<label>2.1</label>
<title>Patients and biomaterial</title>
<p>The Department of Mental Health at the University Hospital M&#x00FC;nster, M&#x00FC;nster, Germany, recruited patients with major depressive disorder (MDD, <italic>n</italic>&#x202F;=&#x202F;55) and healthy controls (HC, <italic>n</italic>&#x202F;=&#x202F;32). This study was approved by the Ethics Committee of the Medical Faculty of the University of M&#x00FC;nster (#2009-019-f-S) and performed in accordance with the Declaration of Helsinki. All participants provided written informed consent prior to the study. Due to technical reasons, 9 blood samples could not be analyzed for DC subsets, 2 samples could not be included in the cytokine analysis for IL-6 and IL-10. MDD patients were admitted for inpatient psychiatric treatment, and MDD diagnosis was confirmed by two trained psychiatrists according to ICD-10 guidelines. The clinician-rated Hamilton Rating Scale of Depression (HAM-D17) was used to assess severity and only patients with a diagnosis of MDD and a HAM-D17 score &#x2265; 8 were included. Exclusion criteria comprised autoimmune diseases including type I diabetes mellitus, neurological disorders, severe cardiovascular disorders (CVDs), neuroinflammation or other immune-related disorders. Participants with mild, well-controlled hypertension were eligible for inclusion. Inclusion criteria for sex and age matched HC were required to have no history of psychiatric disorders based on DSM-5 and ICD-10 criteria. The same exclusion criteria applied for MDD patients. In addition to the HAM-D17, the Inventory of Depressive Symptomatology - Clinician Rated (IDS-C; <italic>n</italic>&#x202F;=&#x202F;84), and the Beck&#x2019;s Depression Inventory-II (BDI-II; <italic>n</italic>&#x202F;=&#x202F;83), the latter a self-reported questionnaire for depression severity, was administered. To investigate sex-associated differences in the DC profile in this group, patients and HC were stratified into female (HC&#x202F;=&#x202F;22, MDD&#x202F;=&#x202F;32) and male (HC&#x202F;=&#x202F;10, MDD&#x202F;=&#x202F;23) participants, based on self-disclosure of the participants. A representative calculation of the effect size was performed for the analysis of the IL-23<sup>+</sup> cDC frequency, comparing females with MDD and HC based on the Mann&#x2013;Whitney U test. Effect size was calculated as r, with the corresponding Cohen&#x2019;s d reported for reference (<italic>r</italic>&#x202F;=&#x202F;0.31; d&#x202F;&#x2248;&#x202F;0.62), indicating a medium effect detectable with the current sample sizes. The female HC and MDD groups were matched for age, smoking, and BMI, as were the male HC and MDD groups. In addition, female and male participants were matched within the HC group as well as within the MDD group. Regarding MDD severity, female and male patients were also matched measured by HAM-D17, IDS-C, and BDI-II (<xref ref-type="supplementary-material" rid="SM1">Supplementary Table 1</xref>). In both female groups (HC and MDD), approximately 55% of participants were either menopausal or postmenopausal. At inclusion, patients received pharmacological treatment including antidepressants (<italic>n</italic>&#x202F;=&#x202F;53; 96%; female/male: 32/21), antipsychotics (<italic>n</italic>&#x202F;=&#x202F;38; 69%; female/male: 23/15), mood stabilizers (<italic>n</italic>&#x202F;=&#x202F;4; 7%; female/male: 1/3), benzodiazepines (<italic>n</italic>&#x202F;=&#x202F;19; 35%; female/male: 11/8), and/or anxiolytics (<italic>n</italic>&#x202F;=&#x202F;26; 47%; female/male: 19/7). More detailed information on medication can be found in the <xref ref-type="supplementary-material" rid="SM1">Supplementary Table 2</xref>. In a subset of this cohort, we previously analyzed PB B and T lymphocyte subsets (<xref ref-type="bibr" rid="ref1">Ahmetspahic et al., 2018</xref>; <xref ref-type="bibr" rid="ref26">Freff et al., 2022</xref>).</p>
</sec>
<sec id="sec4">
<label>2.2</label>
<title>Blood sample preparation and flow cytometry</title>
<p>Peripheral blood samples were collected from all participants at 8&#x202F;a.m. Freshly drawn peripheral venous blood (15&#x202F;mL) was obtained in sterile sodium heparin-treated VACUETTE&#x00AE; tubes (Greiner Bio-One GmbH, Frickenhausen, Germany). Blood sample preparation for flow cytometry was performed as described before (<xref ref-type="bibr" rid="ref1">Ahmetspahic et al., 2018</xref>; <xref ref-type="bibr" rid="ref26">Freff et al., 2022</xref>). In brief, to identify DC subsets, whole blood samples were stained using anti-human monoclonal antibodies (mAbs) against CD3/CD14/CD19 (PerCP), CD11c (BV510), CD303 (FITC), CD141 (PE), and CD1c (BV421). Blood sample staining with respective mAbs (Biolegend&#x00AE;, San Diego, CA) was conducted by incubation of biosamples for 45&#x202F;min at room temperature (RT) with the indicated antibodies protected from light. Afterwards, samples were treated with RBC lysis/fixation solution (Vienna, AUT: eBioscience&#x2122;) for 15&#x202F;min at RT. Thereafter, cells were washed with PBS twice and resuspended in FACS buffer (1x PBS, 2% FCS, 0.01% NaN3). Acquiration was performed on a BD FACS CantoTM II flow cytometer (BD Biosciences) and analyzed with the FlowJoTM software v10 (Ashland, OR: Becton&#x00AE;, Dickinson and Company; 2019). DC cell subpopulations were characterized as shown in the gating strategy (<xref ref-type="supplementary-material" rid="SM1">Supplementary Figure 1</xref>). cDCs were gated on lineage negative cells (CD3<sup>&#x2212;</sup>/CD14<sup>&#x2212;</sup>/CD19<sup>&#x2212;</sup>) and HLA-DR<sup>+</sup> CD11c<sup>+</sup> expression and further on termed cDCs, while pDCs were gated on lineage negative cells (CD3<sup>&#x2212;</sup>/CD14<sup>&#x2212;</sup>/CD19<sup>&#x2212;</sup>) and HLA-DR<sup>+</sup> CD303<sup>+</sup> expression. To calculate the cell count, the total number of events in the respective gate was divided by the analyzed sample volume and converted to cell count per milliliter (count/ml).</p>
</sec>
<sec id="sec5">
<label>2.3</label>
<title>Stimulation of cells and intracellular cytokine staining</title>
<p>Whole blood samples were also stained using three immunophenotyping antibody panels for identification of surface markers and intracellular cytokine production in PB DCs. Therefore, samples (300 &#x03BC;L) were stimulated with 300 &#x03BC;L of X-Vivo15 with lipopolysaccharide (LPS, Sigma, 100&#x202F;ng/mL), brefeldin A (1:1000, Biolegend&#x00AE;, San Diego, CA), and monensin (1:1000, Biolegend&#x00AE;, San Diego, CA) for 12&#x202F;h (37&#x202F;&#x00B0;C, 5% CO2). Thereafter, cell surface marker staining was performed using anti-CD11c and anti-CD303 mAbs by incubation for 45&#x202F;min at RT protected from light. Afterwards RBC lysis was performed for 15&#x202F;min at RT, washed with cold PBS twice and cells were then fixed with 1x FIX/PERM solution (eBioscienceTM FoxP3/Transcription Factor Staining Buffer Set, Thermo Fisher Scientific, Waltham, MA) for 45&#x202F;min, protected from light, at 4&#x202F;&#x00B0;C. Afterwards, cells were washed twice and stained with anti-human mAbs against TNF (Alexa647), IL-1&#x03B2; (Alexa647), IL-6 (APC), IL-10 (PE), IL-12 (PE), and IL-23 (PE; Biolegend&#x00AE;, San Diego, CA), incubated for 30&#x202F;min at RT, protected from light. After washing, cells were resuspended in FACS buffer (1x PBS, 2% FCS, 0.01% NaN3) and acquired on a BD FACS CantoTM II flow cytometer and analyzed with the FlowJoTM software v10 (Becton, Dickinson and Company; 2019, Ashland, OR).</p>
</sec>
<sec id="sec6">
<label>2.4</label>
<title>Statistical analysis</title>
<p>Obtained immunological data were analyzed using IBM SPSS version 29, and visualization was performed using GraphPad Prism version 9. To evaluate group differences in demographic data, Chi-square tests were performed for categorical variables, and continuous variables were analyzed using t-tests or Mann&#x2013;Whitney U tests depending on normal distribution. Immunological outcomes were analyzed using t-tests or Mann&#x2013;Whitney U tests for two-group comparisons, depending on normal distribution. Normally distributed multiple groups were analyzed with One-way analysis of variance (ANOVA) and Tukey&#x2019;s <italic>post-hoc</italic> analysis, or Welch&#x2019;s ANOVA with Games-Howell post-hoc analysis, if homogeneity of variance was violated. Non-normally distributed groups were analyzed with Kruskal-Wallis tests with Bonferroni-corrected post hoc analysis. Correlational analysis was performed to analyze the association between immunological parameters and clinical symptoms measured by HAM-D17, IDS-C or BDI-II. To correct for multiple comparisons, the Benjamini-Hochberg procedure was used. Multivariate linear regression (MLR) was performed to evaluate the influence of co-variates and immune parameters on affective/cognitive symptoms and sum score, as assessed by IDS-C. Least Squares Discriminant Analysis (PLS-DA) was used to evaluate how well immune cell frequencies separate HC and patients with MDD in the respective sex group. PLS-DA was conducted using the R package &#x2018;mixOmics&#x2019; (v6.24.0). Relative differences in the immune cell frequencies in all four groups were visualized as a heatmap with the R package &#x2018;pheatmap&#x2019; (v1.0.13). Statistical significance was set at &#x002A;<italic>p</italic>&#x202F;&#x003C;&#x202F;0.05; &#x002A;&#x002A;<italic>p</italic>&#x202F;&#x003C;&#x202F;0.01; &#x002A;&#x002A;&#x002A;<italic>p</italic>&#x202F;&#x003C;&#x202F;0.001.</p>
</sec>
</sec>
<sec sec-type="results" id="sec7">
<label>3</label>
<title>Results</title>
<sec id="sec8">
<label>3.1</label>
<title>Sample description</title>
<p>To characterize DC subsets and their cytokine secretion capacity in depression, we recruited individuals diagnosed with MDD (<italic>n</italic>&#x202F;=&#x202F;55) and healthy controls (HC, <italic>n</italic>&#x202F;=&#x202F;32). Sample characteristics and group comparisons, including relevant test statistics, are summarized in <xref ref-type="table" rid="tab1">Table 1</xref>. There were no significant differences between groups in sex, age, or smoking status. However, individuals with MDD had a higher body mass index (BMI: 27.11&#x202F;&#x00B1;&#x202F;4.18) compared to the HC group (25.06&#x202F;&#x00B1;&#x202F;4.26, <italic>p</italic>&#x202F;&#x003C;&#x202F;0.05). As expected, depression severity was markedly elevated in the MDD group across the clinical rating scales. Mean total scores were significantly higher in patients with MDD than in HC for the Hamilton Depression Rating Scale-17 (HAM-D17: 17.18&#x202F;&#x00B1;&#x202F;4.32 vs. 0.50&#x202F;&#x00B1;&#x202F;0.80, <italic>p</italic>&#x202F;&#x003C;&#x202F;0.001), the Inventory of Depressive Symptomatology - Clinician Rated (IDS-C: 33.16&#x202F;&#x00B1;&#x202F;8.46 vs. 1.39&#x202F;&#x00B1;&#x202F;1.56, <italic>p</italic>&#x202F;&#x003C;&#x202F;0.001), and the self-reported Beck Depression Inventory-II (BDI-II: 28.59&#x202F;&#x00B1;&#x202F;10.42 vs. 2.53&#x202F;&#x00B1;&#x202F;2.64, <italic>p</italic>&#x202F;&#x003C;&#x202F;0.001). Medical treatment of patients is described in <xref ref-type="supplementary-material" rid="SM1">Supplementary Table 2</xref>.</p>
<table-wrap position="float" id="tab1">
<label>Table 1</label>
<caption>
<p>Demographics and clinical characteristics of the study sample.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th/>
<th align="center" valign="top" colspan="2">HC (<italic>n</italic>&#x202F;=&#x202F;32)</th>
<th align="center" valign="top" colspan="2">MDD (<italic>n</italic>&#x202F;=&#x202F;55)</th>
<th align="center" valign="top"><italic>p</italic>-value</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle">Sex (female/male)</td>
<td align="center" valign="middle" colspan="2">22/10</td>
<td align="center" valign="middle" colspan="2">32/23</td>
<td align="center" valign="middle">0.327</td>
</tr>
<tr>
<td align="left" valign="middle">Smoking</td>
<td align="center" valign="middle" colspan="2">7</td>
<td align="center" valign="middle" colspan="2">16</td>
<td align="center" valign="middle">0.432</td>
</tr>
<tr>
<td/>
<td align="center" valign="middle" colspan="2">HC</td>
<td align="center" valign="middle" colspan="2">MDD</td>
<td align="center" valign="middle"><italic>p</italic>-value</td>
</tr>
<tr>
<td/>
<td align="center" valign="middle"><italic>M</italic></td>
<td align="center" valign="middle"><italic>SD</italic></td>
<td align="center" valign="middle"><italic>M</italic></td>
<td align="center" valign="middle"><italic>SD</italic></td>
<td/>
</tr>
<tr>
<td align="left" valign="middle">Age</td>
<td align="center" valign="middle">53.84</td>
<td align="center" valign="middle">&#x00B1; 13.25</td>
<td align="center" valign="middle">54.96</td>
<td align="center" valign="middle">&#x00B1; 11.01</td>
<td align="center" valign="middle">0.672</td>
</tr>
<tr>
<td align="left" valign="middle">BMI</td>
<td align="center" valign="middle">25.06</td>
<td align="center" valign="middle">&#x00B1; 4.26</td>
<td align="center" valign="middle">27.11</td>
<td align="center" valign="middle">&#x00B1; 4.18</td>
<td align="center" valign="middle"><bold>&#x003C; 0.05&#x002A;</bold></td>
</tr>
<tr>
<td align="left" valign="middle">IDS-C</td>
<td align="center" valign="middle">1.39</td>
<td align="center" valign="middle">&#x00B1; 1.56</td>
<td align="center" valign="middle">33.16</td>
<td align="center" valign="middle">&#x00B1; 8.46</td>
<td align="center" valign="middle"><bold>&#x003C; 0.001&#x002A;&#x002A;&#x002A;</bold></td>
</tr>
<tr>
<td align="left" valign="middle">BDI-II</td>
<td align="center" valign="middle">2.53</td>
<td align="center" valign="middle">&#x00B1; 2.64</td>
<td align="center" valign="middle">28.59</td>
<td align="center" valign="middle">&#x00B1; 10.42</td>
<td align="center" valign="middle"><bold>&#x003C; 0.001&#x002A;&#x002A;&#x002A;</bold></td>
</tr>
<tr>
<td align="left" valign="middle">HAM-D17</td>
<td align="center" valign="middle">0.50</td>
<td align="center" valign="middle">&#x00B1; 0.80</td>
<td align="center" valign="middle">17.18</td>
<td align="center" valign="middle">&#x00B1; 4.32</td>
<td align="center" valign="middle"><bold>&#x003C; 0.001&#x002A;&#x002A;&#x002A;</bold></td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>HC, healthy controls; MDD, major depressive disorder; BMI, body mass index; IDS-C, Inventory of Depressive Symptomatology&#x2013;clinical interview; BDI-II, Beck Depression Inventory-II; HAM-D17, Hamilton Rating Scale for Depression. Significant effects are in bold print. &#x002A;<italic>p</italic>&#x202F;&#x003C;&#x202F;0.05; &#x002A;&#x002A;&#x002A;<italic>p</italic>&#x202F;&#x003C;&#x202F;0.001.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="sec9">
<label>3.2</label>
<title>Reduced counts of circulating pDCs and enhanced percentages of cDCs in MDD</title>
<p>We first quantified lymphocyte counts, as well as the numbers and percentages of cDCs and their subsets (CD1c<sup>+</sup> and CD141<sup>+</sup> cDCs), and pDCs in the PB of individuals with MDD and HC using a flow cytometry panel designed to distinguish DC subsets and their cytokine-producing populations. The two groups showed comparable lymphocyte counts. cDC counts were also equivalent, whereas pDCs were reduced in individuals with MDD compared to HC (<xref ref-type="fig" rid="fig1">Figure 1A</xref>). Frequencies of cDCs and their subsets (CD1c<sup>+</sup> and CD141<sup>+</sup> cDCs), as well as pDCs were similar across groups (<xref ref-type="fig" rid="fig1">Figure 1B</xref>). However, stratification by depression severity using the HAM-D17 scale revealed increased frequencies of CD11c<sup>+</sup> cDCs in individuals with severe MDD (HAM-D17&#x202F;&#x2265;&#x202F;17) compared to those with mild symptoms (HAM-D17 9&#x2013;16) or non-depressed participants (HAM-D17&#x202F;&#x003C;&#x202F;9; <xref ref-type="fig" rid="fig1">Figure 1C</xref>). Moreover, cell counts showed a reduction of circulating pDCs in severe MDD compared to HC (<xref ref-type="supplementary-material" rid="SM1">Supplementary Figure 2</xref>).</p>
<fig position="float" id="fig1">
<label>Figure 1</label>
<caption>
<p>Elevated frequencies of CD11c<sup>+</sup> cDCs in severely depressed patients. Graphs show cell count/ml in lymphocytes and DC subsets in PB <bold>(A)</bold>, frequencies of DC subsets in healthy controls (HC) and patients with major depressive disorder (MDD) <bold>(B)</bold>. Diagram shows frequencies of DC subsets in participants stratified into HC, mildly depressed (HAMD &#x2264;16) and moderate to severely depressed patients (HAMD &#x2265;17), measured by the Hamilton Rating Scale for Depression (HAM-D17) <bold>(C)</bold>. Cell count/ml and frequencies were determined by multiparameter flow cytometry. Error bars indicate mean &#x00B1;SEM. <italic>p</italic>-values were calculated by Student&#x2019;s <italic>t</italic>-test or Mann&#x2013;Whitney U test for <bold>(A)</bold> and <bold>(B)</bold>, or by ANOVA or Kruskal-Wallis for <bold>(C)</bold>, as appropriate, &#x002A;<italic>p</italic>&#x202F;&#x003C;&#x202F;0.05, &#x002A;&#x002A;<italic>p</italic>&#x202F;&#x003C;&#x202F;0.01.</p>
</caption>
<graphic xlink:href="fncel-20-1753241-g001.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Graphs showing lymphocyte and dendritic cell (DC) counts and percentages in healthy controls (HC) and individuals with major depressive disorder (MDD) in peripheral blood. Panel A displays lymphocyte, CD11c+ DC, and plasmacytoid DC (pDC) counts, with increased pDCs for MDD. Panel B illustrates percentages of CD11c+ DCs, CD1c+ CD11c+ DCs, CD141+ CD11c+ DCs, and pDCs, with equivalent frequencies in HC and MDD. Panel C compares these metrics in groups stratified by MDD severity based on Hamilton Rating Scale of Depression (HAM-D17), showing increased CD11c+ DCs frequencies in severely depressed patients compared to mildly depressed patients.</alt-text>
</graphic>
</fig>
</sec>
<sec id="sec10">
<label>3.3</label>
<title>Enhanced IL-23<sup>+</sup>cDCs frequencies in PB in MDD compared to HC</title>
<p>Given the established involvement of pro- and anti-inflammatory cytokines in the pathophysiology of MDD (<xref ref-type="bibr" rid="ref23">Dowlati et al., 2010</xref>), we next analyzed DC subsets producing TNF, IL-1&#x03B2;, IL-6, IL-10, IL-12, and IL-23 by intracellular staining, focusing on cDCs as the principal DC population responsible for production of these cytokines (<xref ref-type="bibr" rid="ref13">Cabeza-Cabrerizo et al., 2021</xref>). Frequencies and absolute numbers of CD11c<sup>+</sup> cDCs producing TNF, IL-1&#x03B2;, IL-6, IL-12, or IL-10 were comparable between individuals with MDD and HC. In contrast, IL-23<sup>+</sup> cDC frequencies and counts were significantly higher in individuals with MDD compared to HC (<xref ref-type="fig" rid="fig2">Figure 2</xref>; <xref ref-type="supplementary-material" rid="SM1">Supplementary Figure 3</xref><xref ref-type="supplementary-material" rid="SM1">A</xref>). Cytokine expression levels, assessed by mean fluorescence intensity (MFI), were similar between groups, indicating that while more IL-23<sup>+</sup> cDCs were present in MDD, individual cells produced comparable amounts of IL-23 (<xref ref-type="supplementary-material" rid="SM1">Supplementary Figure 3</xref><xref ref-type="supplementary-material" rid="SM1">B</xref>). Furthermore, no correlation was found between cytokine-producing cDC frequencies, counts, and BMI, excluding a confounding effect of BMI in depressed individuals (<xref ref-type="supplementary-material" rid="SM1">Supplementary Table 3</xref>). Together, these findings indicate that circulating IL-23<sup>+</sup> cDCs are elevated in individuals with MDD compared to HC.</p>
<fig position="float" id="fig2">
<label>Figure 2</label>
<caption>
<p>The frequency of circulating IL-23<sup>+</sup> cDCs is elevated in patients with MDD. Graphs display proportions of DC subsets determined by flow cytometry in PB of cytokine producing cDCs in HC and patients with MDD. Error bars indicate mean &#x00B1;SEM. <italic>p</italic>-values were calculated by Student&#x2019;s <italic>t</italic>-test or Mann&#x2013;Whitney U test, as appropriate, &#x002A;<italic>p</italic>&#x202F;&#x003C;&#x202F;0.05.</p>
</caption>
<graphic xlink:href="fncel-20-1753241-g002.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Graphs compare the percentages of cytokine producing CD11c+ dendritic cells (DCs) between healthy controls (HC) and individuals with major depressive disorder (MDD) in peripheral blood. Plots show TNF&#x03B1;, IL-1&#x03B2;, IL-6, IL-10, IL-12, and IL-23 positive DCs. Frequencies of IL-23+ CD11c+ DCs were elevated in MDD patients compared to HC.</alt-text>
</graphic>
</fig>
</sec>
<sec id="sec11">
<label>3.4</label>
<title>Differential frequencies of cytokine-producing DCs in females and males with MDD</title>
<p>To assess the impact of sex on DC profiles in MDD, we stratified patients and HC by sex and analyzed DC frequencies and counts in each group. All groups were matched for age, BMI, and smoking status. Male and female patients were additionally matched for depression severity based on BDI-II, HAM-D17, and IDS-C scores (<xref ref-type="supplementary-material" rid="SM1">Supplementary Table 1</xref>). cDC counts were comparable across groups, whereas pDCs were reduced only in female patients (<xref ref-type="supplementary-material" rid="SM1">Supplementary Figure 4</xref>). DC subset frequencies were otherwise similar (<xref ref-type="fig" rid="fig3">Figure 3A</xref>). As shown in <xref ref-type="fig" rid="fig3">Figure 3B</xref>, IL-10<sup>+</sup> and IL-12<sup>+</sup> cDC frequencies were comparable among all groups. In contrast, IL-23<sup>+</sup> cDCs were elevated in females with MDD compared to sex-matched controls but unchanged in males. Conversely, depressed males displayed significantly higher proportions of TNF<sup>+</sup>, IL-1&#x03B2;<sup>+</sup>, and IL-6<sup>+</sup> cDCs than females with MDD (<xref ref-type="fig" rid="fig3">Figure 3B</xref>). These findings indicate distinct, sex-specific cytokine-producing cDC profiles in MDD.</p>
<fig position="float" id="fig3">
<label>Figure 3</label>
<caption>
<p>Increase in IL-23<sup>+</sup> cDC frequencies in female but not male patients with MDD. Frequencies of DC subsets <bold>(A)</bold> and cytokine producing cDCs <bold>(B)</bold> in HC and patients with MDD stratified for sex. Error bars indicate mean &#x00B1; SEM. <italic>p</italic>-values were calculated by Student&#x2019;s <italic>t</italic>-test or Mann&#x2013;Whitney U test, as appropriate, &#x002A;<italic>p</italic>&#x202F;&#x003C;&#x202F;0.05, &#x002A;&#x002A;<italic>p</italic>&#x202F;&#x003C;&#x202F;0.01.</p>
</caption>
<graphic xlink:href="fncel-20-1753241-g003.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Graphs compare percentages of peripheral dendritic cells (DCs) in healthy controls (HC) and major depressive disorder (MDD) stratified by sex. Panel A shows CD11c+, CD1c+ CD11c+, CD141+ CD11c+, and plasmacytoid DCs (pDCs). Panel B examines cytokine producing CD11c+ DCs showing elevated frequencies of IL-23+ CD11c+ DCs in female patients.</alt-text>
</graphic>
</fig>
</sec>
<sec id="sec12">
<label>3.5</label>
<title>IL-23<sup>+</sup> cDC frequencies are associated with MDD symptoms in females, but not males</title>
<p>We next examined associations between cytokine-producing cDCs and depressive symptoms in females and males using both self-rated and clinician-rated depression scales (<xref ref-type="table" rid="tab2">Table 2</xref>; <xref ref-type="supplementary-material" rid="SM1">Supplementary Table 4</xref>). Among all cytokine-producing DC subsets, only IL-23<sup>+</sup> cDCs showed significant positive correlations with nearly all domains and the total score of the BDI-II in females after correction for multiple comparisons. These associations encompassed core depressive symptoms, including sadness, loss of pleasure, and reduced energy, as well as overall symptom severity. No significant correlations were observed in males (<xref ref-type="supplementary-material" rid="SM1">Supplementary Table 4</xref>). Using the IDS-C, IL-23<sup>+</sup> cDCs again correlated significantly (after correction) with multiple symptom domains and the total score in females, but not in males (<xref ref-type="table" rid="tab2">Table 2</xref>; <xref ref-type="fig" rid="fig4">Figure 4</xref>). Collectively, these results indicate a sex-specific relationship between IL-23<sup>+</sup> cDCs and depressive symptomatology and severity in females, but not males, as reflected by both the BDI-II and IDS-C scales.</p>
<table-wrap position="float" id="tab2">
<label>Table 2</label>
<caption>
<p>Spearman rho correlation coefficients of cytokine-producing CD11c<sup>+</sup> cDCs in females and males with MDD and HC with IDS-C items.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top" rowspan="3">IDS-C items</th>
<th align="left" valign="top" colspan="12">% CD11c<sup>+</sup> cDCs</th>
</tr>
<tr>
<th align="left" valign="top" colspan="2">TNF<sup>+</sup></th>
<th align="left" valign="top" colspan="2">IL-1&#x03B2;<sup>+</sup></th>
<th align="left" valign="top" colspan="2">IL-6<sup>+</sup></th>
<th align="left" valign="top" colspan="2">IL-10<sup>+</sup></th>
<th align="left" valign="top" colspan="2">IL-12<sup>+</sup></th>
<th align="left" valign="top" colspan="2">IL-23<sup>+</sup></th>
</tr>
<tr>
<th align="left" valign="middle">Female</th>
<th align="left" valign="middle">Male</th>
<th align="left" valign="middle">Female</th>
<th align="left" valign="middle">Male</th>
<th align="left" valign="middle">Female</th>
<th align="left" valign="middle">Male</th>
<th align="left" valign="middle">Female</th>
<th align="left" valign="middle">Male</th>
<th align="left" valign="middle">Female</th>
<th align="left" valign="middle">Male</th>
<th align="left" valign="middle">Female</th>
<th align="left" valign="middle">Male</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle">Sleep onset insomnia</td>
<td align="left" valign="middle">&#x2212;0.015</td>
<td align="left" valign="middle">0.194</td>
<td align="left" valign="middle">&#x2212;0.108</td>
<td align="left" valign="middle">0.338</td>
<td align="left" valign="middle">&#x2212;0.111</td>
<td align="left" valign="middle">0.280</td>
<td align="left" valign="middle">0.007</td>
<td align="left" valign="middle">&#x2212;0.067</td>
<td align="left" valign="middle">0.127</td>
<td align="left" valign="middle">0.080</td>
<td align="left" valign="middle">0.200</td>
<td align="left" valign="middle">&#x2212;0.067</td>
</tr>
<tr>
<td align="left" valign="middle">Mid-nocturnal insomnia</td>
<td align="left" valign="middle">&#x2212;0.038</td>
<td align="left" valign="middle">&#x2212;0.036</td>
<td align="left" valign="middle">&#x2212;0.019</td>
<td align="left" valign="middle">0.051</td>
<td align="left" valign="middle">0.062</td>
<td align="left" valign="middle">0.037</td>
<td align="left" valign="middle">&#x2212;0.174</td>
<td align="left" valign="middle">&#x2212;0.154</td>
<td align="left" valign="middle">0.071</td>
<td align="left" valign="middle">&#x2212;0.269</td>
<td align="left" valign="middle">
<bold>0.369&#x002A;&#x002A;</bold>
</td>
<td align="left" valign="middle">&#x2212;0.290</td>
</tr>
<tr>
<td align="left" valign="middle">Early morning insomnia</td>
<td align="left" valign="middle">&#x2212;0.190</td>
<td align="left" valign="middle">&#x2212;0.045</td>
<td align="left" valign="middle">&#x2212;0.151</td>
<td align="left" valign="middle">0.020</td>
<td align="left" valign="middle">&#x2212;0.223</td>
<td align="left" valign="middle">0.030</td>
<td align="left" valign="middle">0.008</td>
<td align="left" valign="middle">&#x2212;0.146</td>
<td align="left" valign="middle">&#x2212;0.002</td>
<td align="left" valign="middle">&#x2212;0.215</td>
<td align="left" valign="middle">0.120</td>
<td align="left" valign="middle">&#x2212;0.322</td>
</tr>
<tr>
<td align="left" valign="middle">Hypersomnia</td>
<td align="left" valign="middle">0.015</td>
<td align="left" valign="middle">0.046</td>
<td align="left" valign="middle">&#x2212;0.007</td>
<td align="left" valign="middle">&#x2212;0.039</td>
<td align="left" valign="middle">&#x2212;0.034</td>
<td align="left" valign="middle">&#x2212;0.035</td>
<td align="left" valign="middle">&#x2212;0.062</td>
<td align="left" valign="middle">&#x2212;0.053</td>
<td align="left" valign="middle">0.068</td>
<td align="left" valign="middle">&#x2212;0.253</td>
<td align="left" valign="middle">0.066</td>
<td align="left" valign="middle">0.040</td>
</tr>
<tr>
<td align="left" valign="middle">Sad mood</td>
<td align="left" valign="middle">&#x2212;0.201</td>
<td align="left" valign="middle">0.111</td>
<td align="left" valign="middle">&#x2212;0.171</td>
<td align="left" valign="middle">0.173</td>
<td align="left" valign="middle">&#x2212;0.119</td>
<td align="left" valign="middle">0.138</td>
<td align="left" valign="middle">&#x2212;0.187</td>
<td align="left" valign="middle">&#x2212;0.084</td>
<td align="left" valign="middle">0.098</td>
<td align="left" valign="middle">&#x2212;0.044</td>
<td align="left" valign="middle">
<bold>0.351&#x002A;</bold>
</td>
<td align="left" valign="middle">0.096</td>
</tr>
<tr>
<td align="left" valign="middle">Irritable mood</td>
<td align="left" valign="middle">&#x2212;0.075</td>
<td align="left" valign="middle">&#x2212;0.050</td>
<td align="left" valign="middle">&#x2212;0.038</td>
<td align="left" valign="middle">0.133</td>
<td align="left" valign="middle">0.009</td>
<td align="left" valign="middle">&#x2212;0.045</td>
<td align="left" valign="middle">&#x2212;0.032</td>
<td align="left" valign="middle">0.150</td>
<td align="left" valign="middle">0.009</td>
<td align="left" valign="middle">0.311</td>
<td align="left" valign="middle"><bold>0.279&#x002A;</bold></td>
<td align="left" valign="middle">0.310</td>
</tr>
<tr>
<td align="left" valign="middle">Anxious mood</td>
<td align="left" valign="middle">&#x2212;0.221</td>
<td align="left" valign="middle">0.226</td>
<td align="left" valign="middle">&#x2212;0.122</td>
<td align="left" valign="middle">0.116</td>
<td align="left" valign="middle">&#x2212;0.157</td>
<td align="left" valign="middle">0.310</td>
<td align="left" valign="middle"><bold>&#x2212;0.287&#x002A;</bold></td>
<td align="left" valign="middle">&#x2212;0.049</td>
<td align="left" valign="middle">0.111</td>
<td align="left" valign="middle">0.239</td>
<td align="left" valign="middle">
<bold>0.365&#x002A;&#x002A;</bold>
</td>
<td align="left" valign="middle">0.245</td>
</tr>
<tr>
<td align="left" valign="middle">Reactivity of mood</td>
<td align="left" valign="middle">&#x2212;0.169</td>
<td align="left" valign="middle">0.094</td>
<td align="left" valign="middle">&#x2212;0.023</td>
<td align="left" valign="middle">0.189</td>
<td align="left" valign="middle">&#x2212;0.102</td>
<td align="left" valign="middle">0.161</td>
<td align="left" valign="middle">&#x2212;0.094</td>
<td align="left" valign="middle">0.017</td>
<td align="left" valign="middle">0.182</td>
<td align="left" valign="middle">&#x2212;0.014</td>
<td align="left" valign="middle">
<bold>0.457&#x002A;&#x002A;</bold>
</td>
<td align="left" valign="middle">0.096</td>
</tr>
<tr>
<td align="left" valign="middle">Mood variation</td>
<td align="left" valign="middle">&#x2212;0.073</td>
<td align="left" valign="middle">0.076</td>
<td align="left" valign="middle">&#x2212;0.013</td>
<td align="left" valign="middle">0.176</td>
<td align="left" valign="middle">&#x2212;0.031</td>
<td align="left" valign="middle">0.041</td>
<td align="left" valign="middle"><bold>&#x2212;0.313&#x002A;</bold></td>
<td align="left" valign="middle">0.096</td>
<td align="left" valign="middle">0.083</td>
<td align="left" valign="middle">0.071</td>
<td align="left" valign="middle">0.197</td>
<td align="left" valign="middle">0.140</td>
</tr>
<tr>
<td align="left" valign="middle">Mood var.: time</td>
<td align="left" valign="middle">&#x2212;0.394</td>
<td align="left" valign="middle">0.395</td>
<td align="left" valign="middle"><bold>&#x2212;0.578&#x002A;&#x002A;</bold></td>
<td align="left" valign="middle">&#x2212;0.228</td>
<td align="left" valign="middle"><bold>&#x2212;0.444&#x002A;</bold></td>
<td align="left" valign="middle">&#x2212;0.193</td>
<td align="left" valign="middle">&#x2212;0.372</td>
<td align="left" valign="middle">&#x2212;0.183</td>
<td align="left" valign="middle">&#x2212;0.133</td>
<td align="left" valign="middle">&#x2212;0.238</td>
<td align="left" valign="middle">0.077</td>
<td align="left" valign="middle">&#x2212;0.095</td>
</tr>
<tr>
<td align="left" valign="middle">Mood var.: environment</td>
<td align="left" valign="middle">&#x2212;0.238</td>
<td align="left" valign="middle">&#x2212;0.220</td>
<td align="left" valign="middle">&#x2212;0.293</td>
<td align="left" valign="middle">0.019</td>
<td align="left" valign="middle">&#x2212;0.246</td>
<td align="left" valign="middle">&#x2212;0.077</td>
<td align="left" valign="middle">&#x2212;0.275</td>
<td align="left" valign="middle">0.268</td>
<td align="left" valign="middle">&#x2212;0.367</td>
<td align="left" valign="middle">&#x2212;0.029</td>
<td align="left" valign="middle">&#x2212;0.210</td>
<td align="left" valign="middle">&#x2212;0.038</td>
</tr>
<tr>
<td align="left" valign="middle">Quality of mood</td>
<td align="left" valign="middle">&#x2212;0.092</td>
<td align="left" valign="middle">0.128</td>
<td align="left" valign="middle">&#x2212;0.016</td>
<td align="left" valign="middle">0.072</td>
<td align="left" valign="middle">0.028</td>
<td align="left" valign="middle">0.228</td>
<td align="left" valign="middle">&#x2212;0.057</td>
<td align="left" valign="middle">&#x2212;0.281</td>
<td align="left" valign="middle">&#x2212;0.021</td>
<td align="left" valign="middle">&#x2212;0.066</td>
<td align="left" valign="middle">0.230</td>
<td align="left" valign="middle">0.067</td>
</tr>
<tr>
<td align="left" valign="middle">Decreased appetite</td>
<td align="left" valign="middle">&#x2212;0.061</td>
<td align="left" valign="middle">0.303</td>
<td align="left" valign="middle">&#x2212;0.090</td>
<td align="left" valign="middle"><bold>0.421&#x002A;</bold></td>
<td align="left" valign="middle">&#x2212;0.042</td>
<td align="left" valign="middle"><bold>0.347&#x002A;</bold></td>
<td align="left" valign="middle">&#x2212;0.281</td>
<td align="left" valign="middle">0.145</td>
<td align="left" valign="middle">&#x2212;0.064</td>
<td align="left" valign="middle">0.114</td>
<td align="left" valign="middle">0.114</td>
<td align="left" valign="middle">0.087</td>
</tr>
<tr>
<td align="left" valign="middle">Increased appetite</td>
<td align="left" valign="middle">&#x2212;0.221</td>
<td align="left" valign="middle">&#x2212;0.024</td>
<td align="left" valign="middle">&#x2212;0.151</td>
<td align="left" valign="middle">&#x2212;0.272</td>
<td align="left" valign="middle">&#x2212;0.184</td>
<td align="left" valign="middle">&#x2212;0.191</td>
<td align="left" valign="middle">&#x2212;0.053</td>
<td align="left" valign="middle">&#x2212;0.236</td>
<td align="left" valign="middle">&#x2212;0.039</td>
<td align="left" valign="middle">&#x2212;0.267</td>
<td align="left" valign="middle">&#x2212;0.162</td>
<td align="left" valign="middle">&#x2212;0.028</td>
</tr>
<tr>
<td align="left" valign="middle">Weight decrease</td>
<td align="left" valign="middle">0.014</td>
<td align="left" valign="middle">0.228</td>
<td align="left" valign="middle">&#x2212;0.106</td>
<td align="left" valign="middle">0.247</td>
<td align="left" valign="middle">&#x2212;0.069</td>
<td align="left" valign="middle">0.236</td>
<td align="left" valign="middle"><bold>&#x2212;0.300&#x002A;</bold></td>
<td align="left" valign="middle">0.192</td>
<td align="left" valign="middle">&#x2212;0.143</td>
<td align="left" valign="middle">0.050</td>
<td align="left" valign="middle">&#x2212;0.160</td>
<td align="left" valign="middle">0.053</td>
</tr>
<tr>
<td align="left" valign="middle">Weight increase</td>
<td align="left" valign="middle">&#x2212;0.259</td>
<td align="left" valign="middle">&#x2212;0.126</td>
<td align="left" valign="middle">0.023</td>
<td align="left" valign="middle"><bold>&#x2212;0.379&#x002A;</bold></td>
<td align="left" valign="middle">&#x2212;0.179</td>
<td align="left" valign="middle"><bold>&#x2212;0.367&#x002A;</bold></td>
<td align="left" valign="middle">0.166</td>
<td align="left" valign="middle">&#x2212;0.292</td>
<td align="left" valign="middle">0.021</td>
<td align="left" valign="middle">&#x2212;0.282</td>
<td align="left" valign="middle">0.109</td>
<td align="left" valign="middle">&#x2212;0.144</td>
</tr>
<tr>
<td align="left" valign="middle">Concentration/decision making</td>
<td align="left" valign="middle">&#x2212;0.235</td>
<td align="left" valign="middle">&#x2212;0.029</td>
<td align="left" valign="middle">&#x2212;0.108</td>
<td align="left" valign="middle">0.042</td>
<td align="left" valign="middle">&#x2212;0.140</td>
<td align="left" valign="middle">0.001</td>
<td align="left" valign="middle">&#x2212;0.088</td>
<td align="left" valign="middle">&#x2212;0.091</td>
<td align="left" valign="middle">0.147</td>
<td align="left" valign="middle">&#x2212;0.003</td>
<td align="left" valign="middle">
<bold>0.440&#x002A;&#x002A;</bold>
</td>
<td align="left" valign="middle">&#x2212;0.029</td>
</tr>
<tr>
<td align="left" valign="middle">Outlook on self</td>
<td align="left" valign="middle">&#x2212;0.239</td>
<td align="left" valign="middle">0.161</td>
<td align="left" valign="middle">&#x2212;0.128</td>
<td align="left" valign="middle">0.033</td>
<td align="left" valign="middle">&#x2212;0.175</td>
<td align="left" valign="middle">0.203</td>
<td align="left" valign="middle">0.030</td>
<td align="left" valign="middle">0.007</td>
<td align="left" valign="middle">0.104</td>
<td align="left" valign="middle">&#x2212;0.041</td>
<td align="left" valign="middle">
<bold>0.360&#x002A;&#x002A;</bold>
</td>
<td align="left" valign="middle">0.062</td>
</tr>
<tr>
<td align="left" valign="middle">Outlook on future</td>
<td align="left" valign="middle">&#x2212;0.139</td>
<td align="left" valign="top"><bold>0.359&#x002A;</bold></td>
<td align="left" valign="top">&#x2212;0.059</td>
<td align="left" valign="top">0.238</td>
<td align="left" valign="top">&#x2212;0.064</td>
<td align="left" valign="top">0.304</td>
<td align="left" valign="top"><bold>&#x2212;0.286&#x002A;</bold></td>
<td align="left" valign="top">0.086</td>
<td align="left" valign="top">0.117</td>
<td align="left" valign="top">0.148</td>
<td align="left" valign="top">0.252</td>
<td align="left" valign="top">0.244</td>
</tr>
<tr>
<td align="left" valign="top">Suicidal ideation</td>
<td align="left" valign="top">&#x2212;0.073</td>
<td align="left" valign="top">&#x2212;0.038</td>
<td align="left" valign="top">&#x2212;0.161</td>
<td align="left" valign="top">0.082</td>
<td align="left" valign="top">&#x2212;0.096</td>
<td align="left" valign="top">0.024</td>
<td align="left" valign="top">&#x2212;0.195</td>
<td align="left" valign="top">&#x2212;0.031</td>
<td align="left" valign="top">&#x2212;0.035</td>
<td align="left" valign="top">&#x2212;0.042</td>
<td align="left" valign="top">&#x2212;0.015</td>
<td align="left" valign="top">0.033</td>
</tr>
<tr>
<td align="left" valign="top">Involvement</td>
<td align="left" valign="top">&#x2212;0.140</td>
<td align="left" valign="top">0.155</td>
<td align="left" valign="top">&#x2212;0.067</td>
<td align="left" valign="top">0.256</td>
<td align="left" valign="top">&#x2212;0.099</td>
<td align="left" valign="top">0.266</td>
<td align="left" valign="top">&#x2212;0.188</td>
<td align="left" valign="top">&#x2212;0.052</td>
<td align="left" valign="top">0.128</td>
<td align="left" valign="top">0.015</td>
<td align="left" valign="top">
<bold>0.375&#x002A;&#x002A;</bold>
</td>
<td align="left" valign="top">0.058</td>
</tr>
<tr>
<td align="left" valign="top">Energy/fatiguability</td>
<td align="left" valign="top">&#x2212;0.255</td>
<td align="left" valign="top">0.092</td>
<td align="left" valign="top">&#x2212;0.140</td>
<td align="left" valign="top">0.079</td>
<td align="left" valign="top">&#x2212;0.172</td>
<td align="left" valign="top">0.109</td>
<td align="left" valign="top">&#x2212;0.012</td>
<td align="left" valign="top">&#x2212;0.276</td>
<td align="left" valign="top">0.137</td>
<td align="left" valign="top">&#x2212;0.235</td>
<td align="left" valign="top">
<bold>0.442&#x002A;&#x002A;</bold>
</td>
<td align="left" valign="top">&#x2212;0.009</td>
</tr>
<tr>
<td align="left" valign="top">Pleasure/enjoyment</td>
<td align="left" valign="top">&#x2212;0.144</td>
<td align="left" valign="top">0.081</td>
<td align="left" valign="top">&#x2212;0.103</td>
<td align="left" valign="top">0.186</td>
<td align="left" valign="top">&#x2212;0.101</td>
<td align="left" valign="top">0.061</td>
<td align="left" valign="top"><bold>&#x2212;0.294&#x002A;</bold></td>
<td align="left" valign="top">&#x2212;0.022</td>
<td align="left" valign="top">0.204</td>
<td align="left" valign="top">&#x2212;0.229</td>
<td align="left" valign="top"><bold>0.294&#x002A;</bold></td>
<td align="left" valign="top">&#x2212;0.064</td>
</tr>
<tr>
<td align="left" valign="top">Sexual interest</td>
<td align="left" valign="top">&#x2212;0.188</td>
<td align="left" valign="top">&#x2212;0.143</td>
<td align="left" valign="top">&#x2212;0.114</td>
<td align="left" valign="top">0.063</td>
<td align="left" valign="top">&#x2212;0.128</td>
<td align="left" valign="top">0.167</td>
<td align="left" valign="top">&#x2212;0.214</td>
<td align="left" valign="top">&#x2212;0.305</td>
<td align="left" valign="top">0.089</td>
<td align="left" valign="top">&#x2212;0.166</td>
<td align="left" valign="top"><bold>0.289&#x002A;</bold></td>
<td align="left" valign="top">&#x2212;0.038</td>
</tr>
<tr>
<td align="left" valign="top">Psychomotor. slowing</td>
<td align="left" valign="top">0.055</td>
<td align="left" valign="top">0.273</td>
<td align="left" valign="top">0.116</td>
<td align="left" valign="top">0.069</td>
<td align="left" valign="top">0.192</td>
<td align="left" valign="top">0.292</td>
<td align="left" valign="top">&#x2212;0.003</td>
<td align="left" valign="top">&#x2212;0.265</td>
<td align="left" valign="top">0.073</td>
<td align="left" valign="top">&#x2212;0.208</td>
<td align="left" valign="top">0.113</td>
<td align="left" valign="top">0.015</td>
</tr>
<tr>
<td align="left" valign="top">Psychomotor. agitation</td>
<td align="left" valign="top">&#x2212;0.199</td>
<td align="left" valign="top">&#x2212;0.056</td>
<td align="left" valign="top">&#x2212;0.149</td>
<td align="left" valign="top">&#x2212;0.022</td>
<td align="left" valign="top">&#x2212;0.134</td>
<td align="left" valign="top">0.057</td>
<td align="left" valign="top">0.059</td>
<td align="left" valign="top">&#x2212;0.054</td>
<td align="left" valign="top">0.031</td>
<td align="left" valign="top">&#x2212;0.173</td>
<td align="left" valign="top">0.070</td>
<td align="left" valign="top">&#x2212;0.114</td>
</tr>
<tr>
<td align="left" valign="top">Somatic complaints</td>
<td align="left" valign="top">&#x2212;0.164</td>
<td align="left" valign="top">0.089</td>
<td align="left" valign="top">&#x2212;0.061</td>
<td align="left" valign="top">0.119</td>
<td align="left" valign="top">&#x2212;0.235</td>
<td align="left" valign="top">0.173</td>
<td align="left" valign="top">&#x2212;0.142</td>
<td align="left" valign="top">&#x2212;0.177</td>
<td align="left" valign="top">0.178</td>
<td align="left" valign="top">&#x2212;0.259</td>
<td align="left" valign="top"><bold>0.321&#x002A;</bold></td>
<td align="left" valign="top">0.000</td>
</tr>
<tr>
<td align="left" valign="top">Sympathetic arousal</td>
<td align="left" valign="top">&#x2212;0.143</td>
<td align="left" valign="top">0.191</td>
<td align="left" valign="top">0.044</td>
<td align="left" valign="top">0.085</td>
<td align="left" valign="top">&#x2212;0.075</td>
<td align="left" valign="top">0.245</td>
<td align="left" valign="top">&#x2212;0.073</td>
<td align="left" valign="top">&#x2212;0.144</td>
<td align="left" valign="top">0.268</td>
<td align="left" valign="top">0.013</td>
<td align="left" valign="top">
<bold>0.504&#x002A;&#x002A;</bold>
</td>
<td align="left" valign="top">&#x2212;0.101</td>
</tr>
<tr>
<td align="left" valign="top">Panic/phobic symptoms</td>
<td align="left" valign="top">0.059</td>
<td align="left" valign="top">0.067</td>
<td align="left" valign="top">0.077</td>
<td align="left" valign="top">&#x2212;0.080</td>
<td align="left" valign="top">&#x2212;0.004</td>
<td align="left" valign="top">0.027</td>
<td align="left" valign="top">&#x2212;0.166</td>
<td align="left" valign="top">0.253</td>
<td align="left" valign="top">0.130</td>
<td align="left" valign="top">0.147</td>
<td align="left" valign="top">0.101</td>
<td align="left" valign="top">0.087</td>
</tr>
<tr>
<td align="left" valign="top">Gastrointestinal</td>
<td align="left" valign="top">&#x2212;0.129</td>
<td align="left" valign="top"><bold>0.353&#x002A;</bold></td>
<td align="left" valign="top">&#x2212;0.007</td>
<td align="left" valign="top">0.117</td>
<td align="left" valign="top">&#x2212;0.057</td>
<td align="left" valign="top">0.219</td>
<td align="left" valign="top">&#x2212;0.224</td>
<td align="left" valign="top">&#x2212;0.116</td>
<td align="left" valign="top">0.033</td>
<td align="left" valign="top">0.115</td>
<td align="left" valign="top">0.162</td>
<td align="left" valign="top">&#x2212;0.053</td>
</tr>
<tr>
<td align="left" valign="top">Interpersonal sensitivity</td>
<td align="left" valign="top">&#x2212;0.223</td>
<td align="left" valign="top">0.200</td>
<td align="left" valign="top">&#x2212;0.193</td>
<td align="left" valign="top">0.173</td>
<td align="left" valign="top">&#x2212;0.137</td>
<td align="left" valign="top">0.107</td>
<td align="left" valign="top">0.038</td>
<td align="left" valign="top"><bold>0.387&#x002A;</bold></td>
<td align="left" valign="top">0.054</td>
<td align="left" valign="top">0.173</td>
<td align="left" valign="top">0.249</td>
<td align="left" valign="top">0.153</td>
</tr>
<tr>
<td align="left" valign="top">Leaden paralysis/physical energy</td>
<td align="left" valign="top"><bold>&#x2212;0.347&#x002A;</bold></td>
<td align="left" valign="top">0.056</td>
<td align="left" valign="top"><bold>&#x2212;0.276&#x002A;</bold></td>
<td align="left" valign="top">0.175</td>
<td align="left" valign="top"><bold>&#x2212;0.331&#x002A;</bold></td>
<td align="left" valign="top">0.133</td>
<td align="left" valign="top">&#x2212;0.071</td>
<td align="left" valign="top">0.011</td>
<td align="left" valign="top">0.073</td>
<td align="left" valign="top">&#x2212;0.195</td>
<td align="left" valign="top">0.239</td>
<td align="left" valign="top">&#x2212;0.016</td>
</tr>
<tr>
<td align="left" valign="top">IDS-C sum score</td>
<td align="left" valign="top"><bold>&#x2212;0.296&#x002A;</bold></td>
<td align="left" valign="top">0.145</td>
<td align="left" valign="top">&#x2212;0.154</td>
<td align="left" valign="top">0.127</td>
<td align="left" valign="top">&#x2212;0.240</td>
<td align="left" valign="top">0.166</td>
<td align="left" valign="top">&#x2212;0.195</td>
<td align="left" valign="top">&#x2212;0.091</td>
<td align="left" valign="top">0.187</td>
<td align="left" valign="top">&#x2212;0.144</td>
<td align="left" valign="top">
<bold>0.429&#x002A;&#x002A;</bold>
</td>
<td align="left" valign="top">0.035</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>IDS-C, Inventory of Depressive Symptomatology&#x2013;clinical interview. Underlined values show significant correlation coefficients after adjustment for multiple testing using Benjamini-Hochberg correction. &#x002A;<italic>p</italic>&#x202F;&#x003C;&#x202F;0.05; &#x002A;&#x002A;<italic>p</italic>&#x202F;&#x003C;&#x202F;0.01. Significant effects are in bold print.</p>
</table-wrap-foot>
</table-wrap>
<fig position="float" id="fig4">
<label>Figure 4</label>
<caption>
<p>Blood frequencies of IL-23<sup>+</sup> cDCs correlate with the IDS-C sum score in females but not males. Graphs show associations between IL-23 producing cDCs and the IDS-C sum score in female (left) or male (right) participants. Data were generated based on flow cytometry measurements, the IDS-C questionnaire, and subsequent correlational analyses between immune parameters and items related to MDD.</p>
</caption>
<graphic xlink:href="fncel-20-1753241-g004.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Two scatter plots compare the correlational association between IL-23+ CD11c+ DCs and IDS-C sum score in females and males. The left plot shows a positive correlation for females, while the right plot indicates no correlation for males.</alt-text>
</graphic>
</fig>
</sec>
<sec id="sec13">
<label>3.6</label>
<title>Frequencies of cytokine producing cDCs predict affective/cognitive symptoms and severity of MDD in females but not males</title>
<p>We next performed multivariate linear regression (MLR) analysis to assess the predictive value of immune parameters (frequencies of cytokine-producing DCs) for a combined affective/cognitive symptom score of the IDS-C in female and male participants (<xref ref-type="supplementary-material" rid="SM1">Supplementary Table 5</xref>). IDS-C items were grouped according to affective/cognitive domains (<xref ref-type="supplementary-material" rid="SM1">Supplementary Table 6</xref>), and analyses were controlled for age, BMI, and smoking. The model did not reveal significant effects for male participants. In contrast, in females, IL-23<sup>+</sup> cDCs, TNF<sup>+</sup> cDCs, IL-10<sup>+</sup> cDCs, age, and BMI significantly predicted the IDS-C affective/cognitive score (HC&#x202F;=&#x202F;19, MDD&#x202F;=&#x202F;25), explaining 47.1% of the variance [F (9, 34) = 3.360, <italic>p</italic>&#x202F;&#x003C;&#x202F;0.01, R<sup>2</sup>&#x202F;=&#x202F;0.471]. Additionally, the same model was used to predict the overall sum score of the IDS-C (HC&#x202F;=&#x202F;18, MDD&#x202F;=&#x202F;24), identifying the same significant factors for the female group and explaining 51.8% of the variance [F (9, 32) = 3.815, <italic>p</italic>&#x202F;&#x003C;&#x202F;0.01, R<sup>2</sup>&#x202F;=&#x202F;0.518] (<xref ref-type="table" rid="tab3">Table 3</xref>). Again, the model for male participants did not reveal significance. These findings suggest that circulating cytokine-producing DC subsets, together with BMI and age, may serve as predictors of depressive symptoms and severity in females.</p>
<table-wrap position="float" id="tab3">
<label>Table 3</label>
<caption>
<p>Multivariate linear regression analysis of the IDS-C sum score in female and male participants.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Variable</th>
<th align="left" valign="top">B</th>
<th align="left" valign="top">SE</th>
<th align="left" valign="top">Beta</th>
<th align="left" valign="top">T</th>
<th align="left" valign="top"><italic>p</italic>-value</th>
</tr>
<tr>
<th align="left" valign="top" colspan="6">Female</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle"><bold>IDS-C sum score (Constant)</bold></td>
<td align="left" valign="middle">&#x2212;32.105</td>
<td align="left" valign="middle">25.918</td>
<td/>
<td align="left" valign="middle">&#x2212;1.239</td>
<td align="left" valign="middle">0.224</td>
</tr>
<tr>
<td align="left" valign="middle">Age</td>
<td align="left" valign="middle">0.526</td>
<td align="left" valign="middle">0.196</td>
<td align="left" valign="middle">0.410</td>
<td align="left" valign="middle">2.680</td>
<td align="left" valign="middle"><bold>0.012</bold></td>
</tr>
<tr>
<td align="left" valign="middle">BMI [kg/m<sup>2</sup>]</td>
<td align="left" valign="middle">1.513</td>
<td align="left" valign="middle">0.552</td>
<td align="left" valign="middle">0.426</td>
<td align="left" valign="middle">2.739</td>
<td align="left" valign="middle"><bold>0.010</bold></td>
</tr>
<tr>
<td align="left" valign="middle">Smoking</td>
<td align="left" valign="middle">&#x2212;2.022</td>
<td align="left" valign="middle">4.929</td>
<td align="left" valign="middle">&#x2212;0.056</td>
<td align="left" valign="middle">&#x2212;0.410</td>
<td align="left" valign="middle">0.684</td>
</tr>
<tr>
<td align="left" valign="middle">pDCs [%]</td>
<td align="left" valign="middle">0.382</td>
<td align="left" valign="middle">0.627</td>
<td align="left" valign="middle">0.106</td>
<td align="left" valign="middle">0.609</td>
<td align="left" valign="middle">0.547</td>
</tr>
<tr>
<td align="left" valign="middle">CD1c<sup>+</sup> cDCs [%]</td>
<td align="left" valign="middle">0.099</td>
<td align="left" valign="middle">0.386</td>
<td align="left" valign="middle">0.057</td>
<td align="left" valign="middle">0.258</td>
<td align="left" valign="middle">0.798</td>
</tr>
<tr>
<td align="left" valign="middle">CD141<sup>+</sup> cDCs [%]</td>
<td align="left" valign="middle">&#x2212;15.055</td>
<td align="left" valign="middle">7.860</td>
<td align="left" valign="middle">&#x2212;0.410</td>
<td align="left" valign="middle">&#x2212;1.915</td>
<td align="left" valign="middle">0.064</td>
</tr>
<tr>
<td align="left" valign="middle">IL-23<sup>+</sup> cDCs [%]</td>
<td align="left" valign="middle">5.645</td>
<td align="left" valign="middle">1.704</td>
<td align="left" valign="middle">0.532</td>
<td align="left" valign="middle">3.314</td>
<td align="left" valign="middle"><bold>0.002</bold></td>
</tr>
<tr>
<td align="left" valign="middle">TNF<sup>+</sup> cDCs [%]</td>
<td align="left" valign="middle">&#x2212;0.589</td>
<td align="left" valign="middle">0.199</td>
<td align="left" valign="middle">&#x2212;0.504</td>
<td align="left" valign="middle">&#x2212;2.956</td>
<td align="left" valign="middle"><bold>0.006</bold></td>
</tr>
<tr>
<td align="left" valign="middle">IL-10<sup>+</sup> cDCs [%]</td>
<td align="left" valign="middle">&#x2212;0.699</td>
<td align="left" valign="middle">0.295</td>
<td align="left" valign="middle">&#x2212;0.328</td>
<td align="left" valign="middle">&#x2212;2.366</td>
<td align="left" valign="middle"><bold>0.024</bold></td>
</tr>
<tr>
<td align="left" valign="middle" colspan="6">IDS-C sum score: <italic>F</italic>&#x202F;=&#x202F;3.815; df (9, 32); <italic>p</italic>&#x202F;&#x003C;&#x202F;0.01; R&#x202F;=&#x202F;0.719; R<sup>2</sup>&#x202F;=&#x202F;0.518</td>
</tr>
<tr>
<td align="left" valign="middle" colspan="6">Male</td>
</tr>
<tr>
<td align="left" valign="middle"><bold>IDS-C sum score (Constant)</bold></td>
<td align="left" valign="middle">&#x2212;18.646</td>
<td align="left" valign="middle">39.922</td>
<td/>
<td align="left" valign="middle">&#x2212;0.467</td>
<td align="left" valign="middle">0.646</td>
</tr>
<tr>
<td align="left" valign="middle">Age</td>
<td align="left" valign="middle">&#x2212;0.102</td>
<td align="left" valign="middle">0.481</td>
<td align="left" valign="middle">&#x2212;0.044</td>
<td align="left" valign="middle">&#x2212;0.213</td>
<td align="left" valign="middle">0.834</td>
</tr>
<tr>
<td align="left" valign="middle">BMI [kg/m<sup>2</sup>]</td>
<td align="left" valign="middle">2.106</td>
<td align="left" valign="middle">1.183</td>
<td align="left" valign="middle">0.442</td>
<td align="left" valign="middle">1.781</td>
<td align="left" valign="middle">0.092</td>
</tr>
<tr>
<td align="left" valign="middle">Smoking</td>
<td align="left" valign="middle">0.185</td>
<td align="left" valign="middle">10.412</td>
<td align="left" valign="middle">0.005</td>
<td align="left" valign="middle">0.018</td>
<td align="left" valign="middle">0.986</td>
</tr>
<tr>
<td align="left" valign="middle">pDCs [%]</td>
<td align="left" valign="middle">0.203</td>
<td align="left" valign="middle">1.067</td>
<td align="left" valign="middle">0.050</td>
<td align="left" valign="middle">0.190</td>
<td align="left" valign="middle">0.851</td>
</tr>
<tr>
<td align="left" valign="middle">CD1c<sup>+</sup> cDCs [%]</td>
<td align="left" valign="middle">&#x2212;1.243</td>
<td align="left" valign="middle">0.672</td>
<td align="left" valign="middle">&#x2212;0.534</td>
<td align="left" valign="middle">&#x2212;1.850</td>
<td align="left" valign="middle">0.081</td>
</tr>
<tr>
<td align="left" valign="middle">CD141<sup>+</sup> cDCs [%]</td>
<td align="left" valign="middle">7.793</td>
<td align="left" valign="middle">9.355</td>
<td align="left" valign="middle">0.181</td>
<td align="left" valign="middle">0.833</td>
<td align="left" valign="middle">0.416</td>
</tr>
<tr>
<td align="left" valign="middle">IL-23<sup>+</sup> cDCs [%]</td>
<td align="left" valign="middle">0.409</td>
<td align="left" valign="middle">2.568</td>
<td align="left" valign="middle">0.046</td>
<td align="left" valign="middle">0.159</td>
<td align="left" valign="middle">0.875</td>
</tr>
<tr>
<td align="left" valign="middle">TNF<sup>+</sup> cDCs [%]</td>
<td align="left" valign="middle">0.212</td>
<td align="left" valign="middle">0.306</td>
<td align="left" valign="middle">0.186</td>
<td align="left" valign="middle">0.695</td>
<td align="left" valign="middle">0.496</td>
</tr>
<tr>
<td align="left" valign="middle">IL-10<sup>+</sup> cDCs [%]</td>
<td align="left" valign="middle">&#x2212;0.078</td>
<td align="left" valign="middle">0.540</td>
<td align="left" valign="middle">&#x2212;0.043</td>
<td align="left" valign="middle">&#x2212;0.145</td>
<td align="left" valign="middle">0.887</td>
</tr>
<tr>
<td align="left" valign="middle" colspan="6">IDS-C sum score: <italic>F</italic>&#x202F;=&#x202F;1.462; df (9, 18); <italic>p</italic>&#x202F;=&#x202F;0.235; R&#x202F;=&#x202F;0.650; R<sup>2</sup>&#x202F;=&#x202F;0.422</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>Significant effects are in bold print.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="sec14">
<label>3.7</label>
<title>Cluster analysis of cytokine-producing DCs in men and women with MDD</title>
<p>Partial least squares discriminant analysis (PLS-DA) was performed to assess differences in cytokine-producing cDC subset frequencies between MDD patients and HC, separately for females and males (<xref ref-type="fig" rid="fig5">Figure 5A</xref>). In both analyses, a moderate separation between MDD and HC groups was observed, indicating distinct cDC subset profiles associated with MDD. The degree of discrimination was comparable between females and males. In females, group separation was primarily driven by IL-23<sup>+</sup> cDCs on the first component and IL-10<sup>+</sup> and IL-12<sup>+</sup> cDCs on the second component. In males, CD1c<sup>+</sup> cDCs and TNF<sup>+</sup> cDCs contributed most strongly to the first and second components, respectively, identifying these subsets as principal discriminators of disease status in males. Next, a heatmap illustrating average DC subset frequencies across all groups was generated, with red indicating higher and blue lower cell percentages (<xref ref-type="fig" rid="fig5">Figure 5B</xref>). Hierarchical clustering revealed two main subclusters: female HC and MDD grouped together, as did male HC and MDD, indicating greater within-sex similarity. At a higher hierarchical level, both sex-based clusters merged, reflecting overall similarity across groups but distinct sex-specific profiles. Notably, the heatmap also shows that male MDD patients display the highest frequencies of TNF<sup>+</sup>, IL-1&#x03B2;<sup>+</sup>, and IL-6<sup>+</sup> cDC subsets, suggesting a more proinflammatory DC profile in this group.</p>
<fig position="float" id="fig5">
<label>Figure 5</label>
<caption>
<p>Sex-specific cellular immune profiles in MDD. Partial least squares discriminant analysis (PLS-DA) was performed to separate patients with MDD from the respective HC sex-matched group <bold>(A)</bold> based on cellular components. Mean frequencies of all obtained (cytokine producing) DC subsets were visualized in a hierarchical heatmap stratified for the sex and disease specific groups <bold>(B)</bold>.</p>
</caption>
<graphic xlink:href="fncel-20-1753241-g005.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Panel A shows partial least squares discriminant analysis (PLS-DA) for females and males. It compares the contributions of various dendritic cell (DC) types to component one and two for female and male groups. Panel B shows a heatmap illustrating the distribution of different DC subsets across categories: healthy females, MDD females, healthy males, and MDD males, using a gradient from blue to red.</alt-text>
</graphic>
</fig>
</sec>
</sec>
<sec sec-type="discussion" id="sec15">
<label>4</label>
<title>Discussion</title>
<p>In this exploratory study, we characterized circulating DC subsets and their cytokine-producing profiles in individuals with MDD compared with HC, with a particular focus on sex-specific immune alterations. Although overall DC subset frequencies were largely comparable between groups, several notable cellular patterns emerged. We observed a reduction of circulating pDC numbers, particularly in severe MDD, and a selective increase in cDC and IL-23<sup>+</sup> cDC percentages in MDD. Moreover, we identified a distinct sex-specific DC profile in this study. Females with MDD exhibited elevated circulating IL-23<sup>+</sup> cDCs that correlated with depressive symptom items and severity, whereas males displayed higher proportions of TNF<sup>+</sup>, IL-1&#x03B2;<sup>+</sup>, and IL-6<sup>+</sup> cDCs without significant associations with symptom items and severity. These findings suggest a sex-dependent peripheral DC pattern in MDD, with women showing enhanced circulating IL-23<sup>+</sup> DCs and men exhibiting a bias toward a more proinflammatory cDC cytokine profile.</p>
<p>pDCs can promote immunity via type I IFN production or regulate immune responses by inducing Treg cells. Depending on the context, these functions may confer host protection or contribute to pathology (<xref ref-type="bibr" rid="ref7">Bauer et al., 2016</xref>). The observed reduction in pDCs is consistent with stress hormone-related suppression of type I IFN-producing pDCs in PB in humans (<xref ref-type="bibr" rid="ref47">Lepelletier et al., 2010</xref>; <xref ref-type="bibr" rid="ref74">Shodell et al., 2003</xref>; <xref ref-type="bibr" rid="ref75">Shodell and Siegal, 2001</xref>). Human pDCs are highly glucocorticoid-sensitive and undergo glucocorticoid-induced apoptosis. Likewise, hyperinflammatory states (e.g., severe viral infection or critical illness) show lower circulating pDCs and dampened type I IFN activity despite elevated pro-inflammatory cytokines (<xref ref-type="bibr" rid="ref29">Grimaldi et al., 2011</xref>; <xref ref-type="bibr" rid="ref32">Hadjadj et al., 2020</xref>; <xref ref-type="bibr" rid="ref51">Lu et al., 2025</xref>). It is thus possible that chronic stress in MDD may contribute to a contraction of the pDC/type I IFN compartment, as seen in stress-exposed human settings. In excluding a link between pDCs and depressive items and severity, our findings differ from a recent study showing that pDCs predicted improvement in hopelessness following 3&#x202F;months of treatment of acute depression (<xref ref-type="bibr" rid="ref77">Stolfi et al., 2025</xref>). Thus, pDC alterations may be state-dependent and modulated by inflammation or pharmacological treatment. The expansion of IL-23<sup>+</sup> cDCs, on the other hand, represents a more specific immune profile in MDD. Since cytokine expression on a single cell level was equivalent in all groups, our finding reflects an increase in the proportion of IL-23 producing cDCs rather than enhanced cytokine production capacity on a single cell level. This selective increase of peripheral IL-23<sup>+</sup> cDCs in depression points to an altered differentiation or activation of cDCs in the context of chronic stress and low-grade inflammation.</p>
<p>Sex-stratified analyses revealed that these immune alterations occurred primarily in depressed females. After controlling for age, BMI, smoking, and depression severity, we found that pDCs were reduced and IL-23<sup>+</sup> cDCs were elevated in the PB only in female patients, compared to sex-matched controls. In contrast, males with MDD showed increased frequencies of TNF<sup>+</sup>, IL-1&#x03B2;<sup>+</sup>, and IL-6<sup>+</sup> cDCs compared with female patients, but no difference in circulating IL-23<sup>+</sup> cDCs. Cluster and discriminant analyses confirmed that DC profiles segregated primarily by sex. The lower IL-23<sup>+</sup> cDC frequencies in healthy women compared with the other groups suggest that depression induces a shift from a homeostatic state comprising a low IL-23 producing DC profile to a more IL-23-skewed phenotype in cDCs in MDD that is specific to females.</p>
<p>Several underlying immune mechanisms may explain altered IL-23<sup>+</sup> cDC frequencies in depressed females compared to sex-matched controls, such as increased expansion, enhanced cell survival and/or altered redistribution of functional DC subsets. Accordingly, sex hormones profoundly influence DC differentiation and responsiveness. Estrogens enhance NF-&#x03BA;B-dependent cytokine transcription and TLR signaling, whereas progesterone and androgens have been shown to suppress DC activation (<xref ref-type="bibr" rid="ref12">Butts et al., 2007</xref>; <xref ref-type="bibr" rid="ref44">Laffont et al., 2014</xref>; <xref ref-type="bibr" rid="ref53">Mackern-Oberti et al., 2017</xref>). Under chronic stress and elevated glucocorticoids, as observed in MDD, this can lead to a paradoxical immune state where some DC functions are suppressed while others, such as IL-23 production, are amplified. Depressed women may therefore exhibit an exaggerated IL-23 response due to a convergence of estrogen signaling, glucocorticoid exposure, and stress-induced inflammatory cues. Furthermore, the IL-23/Th17 axis is biased toward females in autoimmune disorders such as multiple sclerosis and atopic dermatitis, both of which involve DC-derived IL-23 as a key pathogenic driver (<xref ref-type="bibr" rid="ref49">Li et al., 2019</xref>; <xref ref-type="bibr" rid="ref80">Vaknin-Dembinsky et al., 2006</xref>). Activation of IL-23/Th17 axis as well as elevated IL-23 blood levels have been described in depression (<xref ref-type="bibr" rid="ref20">Daray et al., 2024</xref>; <xref ref-type="bibr" rid="ref60">Moulton et al., 2025</xref>; <xref ref-type="bibr" rid="ref28">Galecka et al., 2021</xref>), albeit the cellular source of IL-23 has remained unclear. Our data suggest that circulating cDCs are a cellular source of this cytokine. The interaction between DCs and DAMPs may also contribute to this effect. Chronic psychological stress and neuroinflammation elevate DAMPs such as high-mobility group box 1 (HMGB1), S100 proteins, and heat shock proteins, which signal through TLR2, TLR4, or RAGE on cDCs (<xref ref-type="bibr" rid="ref52">Ma et al., 2024</xref>). Although the role of DAMPs in MDD is still being elucidated, growing evidence supports their involvement in its pathophysiology (<xref ref-type="bibr" rid="ref25">Franklin et al., 2018</xref>; <xref ref-type="bibr" rid="ref62">Peng et al., 2025</xref>; <xref ref-type="bibr" rid="ref73">Serna-Rodriguez et al., 2022</xref>). These signals, especially when combined with cytokines such as GM-CSF, can induce IL-23 expression in DCs (<xref ref-type="bibr" rid="ref64">Poppensieker et al., 2012</xref>). Our data are consistent with the idea that in depressed women, cDCs are more readily activated by DAMP-mediated pathways, whereas in healthy women, these cells remain in a more quiescent state. This hypothesis is supported by our previous work demonstrating that GM-CSF and CCR4 signaling promote IL-23 production in DCs in a murine model of CNS autoimmunity (<xref ref-type="bibr" rid="ref64">Poppensieker et al., 2012</xref>; <xref ref-type="bibr" rid="ref68">Ruland et al., 2017</xref>; <xref ref-type="bibr" rid="ref69">Scheu et al., 2017</xref>). Given that some, though not all, studies have reported elevated GM-CSF levels in MDD (<xref ref-type="bibr" rid="ref4">Annam et al., 2024</xref>; <xref ref-type="bibr" rid="ref33">Hemmati et al., 2019</xref>), this pathway represents a plausible mechanism. Also, osteoprotegerin (OPG), a soluble member of the tumor necrosis factor receptor superfamily, has been shown to affect DC survival and cytokine production. LPS treatment of murine BM-derived OPG knock out DCs resulted in increased survival and elevated production of cytokines (TNF, IL-12, IL-23) of these cells compared to wildtype DCs, while adding OPG to the culture reduced their survival and cytokine production (<xref ref-type="bibr" rid="ref15">Chino et al., 2009</xref>). Albeit, elevated OPG levels related to calcification and inflammation have been associated with severe mental disorders (<xref ref-type="bibr" rid="ref34">Hope et al., 2010</xref>), postmenopausal women with MDD had decreased OPG levels compared to HC (<xref ref-type="bibr" rid="ref5">Atteritano et al., 2013</xref>). Considering the mean age of 55&#x202F;years in the female study group presented here, and the fact that around 55% of the MDD patients were either undergoing menopause or had reached the postmenopausal phase, it is possible that reduced OPG levels in female patients may contribute to the observed increased frequency of IL-23<sup>+</sup> cDCs. Taken together, these findings suggest that the increase in IL-23<sup>+</sup> cDCs in women with MDD reflects a biologically specific consequence of chronic stress, sex hormone modulation, and innate immune receptor activation.</p>
<p>The correlation analyses further strengthen the clinical relevance of this immune phenotype. IL-23<sup>+</sup> cDC frequencies were positively associated with multiple depressive symptom domains and overall severity scores on both the BDI-II and IDS-C scales in females, whereas no significant associations were seen in males. Multivariate modeling further revealed that IL-23<sup>+</sup>, TNF<sup>+</sup>, and IL-10<sup>+</sup> cDCs, together with BMI and age, predicted over 51% of the variance in MDD severity, as measured by the IDS-C sum score, in women, but not in men. This sex-specific linkage between IL-23<sup>+</sup> cDCs and MDD severity suggests that these cells may not merely be markers but functional contributors to mood dysregulation. IL-23 and its downstream effector, IL-17, can influence the brain through microglial activation, increased blood&#x2013;brain barrier permeability, and altered monoaminergic signaling, all mechanisms implicated in major depression (<xref ref-type="bibr" rid="ref27">Gaffen et al., 2014</xref>). The pattern observed here suggests that in women with MDD, IL-23<sup>+</sup> cDCs may reflect or promote a Th17-driven inflammatory milieu linked to affective dysregulation. The established association between Th17 activation and depressive symptom severity (<xref ref-type="bibr" rid="ref60">Moulton et al., 2025</xref>; <xref ref-type="bibr" rid="ref8">Beurel et al., 2013</xref>; <xref ref-type="bibr" rid="ref9">Beurel and Lowell, 2018</xref>; <xref ref-type="bibr" rid="ref38">Kim et al., 2021</xref>) further supports this interpretation. Moreover, the increase in CD11c<sup>+</sup> DCs observed in severe MDD may influence chemokine signaling relevant to disease mechanisms. Consistent with this, we recently reported elevated plasma CCL17 levels, a chemokine primarily secreted by cDCs, in individuals with MDD (<xref ref-type="bibr" rid="ref26">Freff et al., 2022</xref>). Peripheral blood IL-23<sup>+</sup> cDCs may therefore reflect central immune processes driving depressive symptomatology in women or rather promote peripheral chronic inflammation with detrimental effects in MDD.</p>
<p>Our results have several translational implications. They add cytokine-producing DC phenotypes to the expanding list of immune alterations implicated in MDD. They also underscore that sex is not simply a covariate but a key biological stratifier. From a biomarker perspective, IL-23<sup>+</sup> cDC frequencies could help define inflammatory subtypes of depression, potentially guiding immune-targeted interventions. Also from a public health perspective, implementing IL-23<sup>+</sup> cDC screening could support assessment of severity of depression in females in the future. The findings also align with the concept of immuno-metabolic depression, a subtype characterized by low-grade inflammation and metabolic dysregulation with obesity, dyslipidaemia, and insulin resistance. This recently proposed concept of immuno-metabolic depression affects about 20&#x2013;30% of patients (<xref ref-type="bibr" rid="ref63">Penninx et al., 2025</xref>). Increased body weight in immuno-metabolic depression may influence IL-12 and IL-23 production in DCs; indeed, Sumarac-Dumanovic et al. reported upregulation of the IL-23/IL-17 axis in obese women, while weight loss reduced leptin and inflammatory cytokines, particularly IL-23 (<xref ref-type="bibr" rid="ref45">Landgren et al., 2023</xref>; <xref ref-type="bibr" rid="ref79">Sumarac-Dumanovic et al., 2009</xref>). Although IL-23<sup>+</sup> cDCs did not correlate with BMI in our cohort, increased body weight and metabolic stress could amplify this inflammatory pathway, particularly in women, providing a link between metabolic state and immune activation in depression.</p>
<p>In this study, we focused on patients with MDD, however, other psychiatric disorders such as bipolar disorder (BD) and schizophrenia, are also frequently associated with immune alterations. A meta-analysis has shown that these mental disorders share common immune features, including altered peripheral blood cytokine profiles. In particular, schizophrenia and BD have been associated with elevated peripheral IL-23 blood levels (<xref ref-type="bibr" rid="ref21">Debnath and Berk, 2017</xref>; <xref ref-type="bibr" rid="ref48">Li et al., 2015</xref>), suggesting that DCs may contribute to immune dysregulation not only in MDD but also in other psychiatric disorders.</p>
<p>This study has several limitations. The sample size was moderate, and its cross-sectional design limits causal inference. Genetic risk factors for the development of MDD, such as <italic>SLC6A4, BDNF,</italic> and <italic>CACNA1c</italic>, the ladder coding for the pore-forming &#x03B1;1C subunit of the L-type calcium channel (LTCC) Ca<sub>V</sub>1.2, were not available for this study group. This is relevant because expression of Ca<sub>V</sub>1.2 channels by DCs has been shown to regulate, e.g., cytokine production and MHC-class II expression (<xref ref-type="bibr" rid="ref11">Boller et al., 2025</xref>). Moreover, variants in <italic>SLC6A4</italic> and <italic>BDNF</italic> have been associated with altered IL-6 and BDNF levels in MDD, highlighting the potential contribution of genetic risk factors to immune alterations in depression (<xref ref-type="bibr" rid="ref17">Colle et al., 2017</xref>; <xref ref-type="bibr" rid="ref78">Su et al., 2009</xref>). In addition, circulating DCs were analyzed rather than tissue-resident or CNS-infiltrating cells, limiting conclusions about central mechanisms. Pharmacological treatments varied across participants, and potential drug effects on DC function cannot be fully excluded. Moreover, although cluster analyses indicated distinct sex-specific immune profiles, overall separation between MDD and HC was moderate, suggesting that DC alterations represent one component within a broader immune landscape in depression.</p>
<p>Future research should replicate these findings in larger, medication-free cohorts and incorporate longitudinal sampling to examine whether IL-23<sup>+</sup> cDC numbers fluctuate with symptom changes or treatment response. In addition, our study highlights the importance of investigating DCs in the context of other mental disorders, both as potential biomarkers and potential future treatment targets. It further underscores the need for sex-stratified research in this field. Ultimately, prospective studies in larger cohorts within translational frameworks, such as the DFG funded Collaborative Research Centre 393 (SFB/TRR 393), could identify immune and metabolic predictors of illness trajectories and inform the development of sex-specific immunomodulatory strategies for affective disorders (<xref ref-type="bibr" rid="ref39">Kircher et al., 2025</xref>).</p>
<p>In conclusion, our findings demonstrate that cytokine-producing DC subsets are altered in MDD in a sex-specific manner. These results identify IL-23-producing DCs as a potential immunological bridge between female sex, immune dysregulation, and depressive symptomatology, supporting the notion that sex-tailored immunomodulatory approaches may hold promise in the treatment of depression.</p>
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</body>
<back>
<sec sec-type="data-availability" id="sec16">
<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 sec-type="ethics-statement" id="sec17">
<title>Ethics statement</title>
<p>The studies involving humans were approved by Ethics committee of the Medical Faculty of the University of M&#x00FC;nster (#2009-019-f-S). The studies were conducted in accordance with the local legislation and institutional requirements. The participants provided their written informed consent to participate in this study.</p>
</sec>
<sec sec-type="author-contributions" id="sec18">
<title>Author contributions</title>
<p>A-LB: Formal analysis, Writing &#x2013; original draft, Methodology, Visualization, Investigation, Writing &#x2013; review &#x0026; editing. JF: Methodology, Investigation, Writing &#x2013; review &#x0026; editing. MB: Visualization, Writing &#x2013; review &#x0026; editing, Investigation. KS: Investigation, Writing &#x2013; review &#x0026; editing, Methodology. UD: Funding acquisition, Writing &#x2013; review &#x0026; editing. BTB: Writing &#x2013; review &#x0026; editing. SS: Writing &#x2013; review &#x0026; editing, Conceptualization, Writing &#x2013; original draft, Funding acquisition. JA: Formal analysis, Supervision, Methodology, Visualization, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing, Conceptualization, Funding acquisition, Investigation.</p>
</sec>
<ack>
<title>Acknowledgments</title>
<p>We are grateful for the excellent contribution of Diana Ahmetspahic regarding flow cytometric assessments. We sincerely thank all participants who donated blood in order to realize this study.</p>
</ack>
<sec sec-type="COI-statement" id="sec19">
<title>Conflict of interest</title>
<p>BTB was a member of advisory boards and/or received speaker/consultation fees from AstraZeneca, Lundbeck, Pfizer, Takeda, Servier, Bristol Myers Squibb, Otsuka, and Janssen-Cilag. SS received research support from Novartis.</p>
<p>The remaining author(s) declared that this work was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
<p>The authors BTB, SS, JA 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 sec-type="correction-note" id="sec99">
<title>Correction note</title>
<p>This article has been corrected with minor changes. These changes do not impact the scientific content of the article.</p>
</sec>
<sec sec-type="ai-statement" id="sec20">
<title>Generative AI statement</title>
<p>The author(s) declared that Generative AI was not used in the creation of this manuscript.</p>
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<title>Supplementary material</title>
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<fn-group>
<fn fn-type="custom" custom-type="edited-by" id="fn0002">
<p>Edited by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/13365/overview">Bozena Kaminska</ext-link>, Polish Academy of Sciences, Poland</p>
</fn>
<fn fn-type="custom" custom-type="reviewed-by" id="fn0003">
<p>Reviewed by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/2842094/overview">Amit Kumar Madeshiya</ext-link>, The University of Texas Health Science Center at San Antonio, United States</p>
<p><ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/569835/overview">Iara D. de Souza</ext-link>, The Ohio State University Wexner Medical Center, United States</p>
</fn>
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