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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Immunol.</journal-id>
<journal-title-group>
<journal-title>Frontiers in Immunology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Immunol.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">1664-3224</issn>
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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/fimmu.2026.1755419</article-id>
<article-version article-version-type="Version of Record" vocab="NISO-RP-8-2008"/>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Original Research</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Immunotherapy-induced sialadenitis: sj&#xf6;gren&#x2019;s syndrome or a new sialadenitis</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" equal-contrib="yes">
<name><surname>Song</surname><given-names>Shuyuan</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>Lao</surname><given-names>Zhentao</given-names></name>
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<name><surname>Yu</surname><given-names>Ruotong</given-names></name>
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<name><surname>Yu</surname><given-names>Shan</given-names></name>
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<name><surname>Li</surname><given-names>Peiyao</given-names></name>
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<name><surname>Yan</surname><given-names>Yumeng</given-names></name>
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<name><surname>Yang</surname><given-names>Le</given-names></name>
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<name><surname>Liao</surname><given-names>Guiqing</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>Wang</surname><given-names>Yan</given-names></name>
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<name><surname>Zhang</surname><given-names>Sien</given-names></name>
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<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
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<aff id="aff1"><label>1</label><institution>Hospital of Stomatology, Guanghua School of Stomatology, Sun Yat-sen University</institution>, <city>Guangzhou</city>, <state>Guangdong</state>,&#xa0;<country country="cn">China</country></aff>
<aff id="aff2"><label>2</label><institution>Guangdong Provincial Key Laboratory of Stomatology, Sun Yat-sen University</institution>, <city>Guangzhou</city>, <state>Guangdong</state>,&#xa0;<country country="cn">China</country></aff>
<author-notes>
<corresp id="c001"><label>*</label>Correspondence: Guiqing Liao, <email xlink:href="mailto:liaogq@mail.sysu.edu.cn">liaogq@mail.sysu.edu.cn</email>; Yan Wang, <email xlink:href="mailto:wang93@mail.sysu.edu.cn">wang93@mail.sysu.edu.cn</email>; Sien Zhang, <email xlink:href="mailto:zhangsen5@mail.sysu.edu.cn">zhangsen5@mail.sysu.edu.cn</email></corresp>
<fn fn-type="equal" id="fn003">
<p>&#x2020;These authors have contributed equally to this work</p></fn>
</author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2026-02-27">
<day>27</day>
<month>02</month>
<year>2026</year>
</pub-date>
<pub-date publication-format="electronic" date-type="collection">
<year>2026</year>
</pub-date>
<volume>17</volume>
<elocation-id>1755419</elocation-id>
<history>
<date date-type="received">
<day>27</day>
<month>11</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>09</day>
<month>02</month>
<year>2026</year>
</date>
<date date-type="rev-recd">
<day>22</day>
<month>01</month>
<year>2026</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2026 Song, Lao, Yu, Yu, Li, Yan, Yang, Liao, Wang and Zhang.</copyright-statement>
<copyright-year>2026</copyright-year>
<copyright-holder>Song, Lao, Yu, Yu, Li, Yan, Yang, Liao, Wang and Zhang</copyright-holder>
<license>
<ali:license_ref start_date="2026-02-27">https://creativecommons.org/licenses/by/4.0/</ali:license_ref>
<license-p>This is an open-access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License (CC BY)</ext-link>. The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</license-p>
</license>
</permissions>
<abstract>
<sec>
<title>Objective</title>
<p>Although immune checkpoint inhibitors (ICIs) have improved survival in head and neck squamous cell carcinoma (HNSCC), associated adverse events, such as sialadenitis, remain poorly characterized. This study aimed to define the clinicopathological features, establish the causal pathogenic mechanism, and validate a therapeutic target for ICI-associated sialadenitis.</p>
</sec>
<sec>
<title>Methods</title>
<p>This study integrated three complementary approaches. First, a prospective cohort of 25 HNSCC patients underwent functional assessment of salivary and lacrimal glands before and after ICI therapy. Second, salivary gland tissues from separate cohorts of ICI-treated (n=30) and untreated control (n=30) patients were subjected to comprehensive analysis, including histology, multi-platform immunophenotyping (immunohistochemistry, multiplex immunofluorescence, flow cytometry), and cytokine quantification at both transcript and protein levels. Finally, a preclinical mouse model was established to confirm causality and validate the therapeutic efficacy of IL-17A blockade.</p>
</sec>
<sec>
<title>Results</title>
<p>Following ICI treatment, patients showed significantly reduced salivary and lacrimal secretion (<italic>P &lt;</italic> 0.05). Histopathological analysis revealed extensive lymphocytic infiltration, marked periductal fibrosis, and substantial loss of acinar structures. The immune infiltrate was dominated by CD4<sup>+</sup> T cells, particularly the Th17 subset, with corresponding upregulation of IL-17A both at transcriptional and protein levels. Crucially, we established a mouse model of anti-PD-1-induced sialadenitis and demonstrated that therapeutic blockade of IL-17A restores salivary function.</p>
</sec>
<sec>
<title>Conclusion</title>
<p>This study establishes ICI-associated sialadenitis as a distinct pathological entity characterized by CD4<sup>+</sup>T cell-driven inflammation mediated through the Th17/IL-17 axis, which differs from Sj&#xf6;gren syndrome, predominantly involving B cells and from IgG4 related sialadenitis. By demonstrating therapeutic efficacy in a preclinical model, our findings provide the first preclinical validation of the IL-17 axis as an actionable therapeutic target for this condition.</p>
</sec>
</abstract>
<kwd-group>
<kwd>chronic sialadenitis</kwd>
<kwd>head and neck squamous cell carcinoma (HNSCC)</kwd>
<kwd>immune checkpoint inhibitors</kwd>
<kwd>CD4<sup>+</sup>T cells</kwd>
<kwd>Th17/IL-17 axis</kwd>
</kwd-group>
<funding-group>
<award-group id="gs1">
<funding-source id="sp1">
<institution-wrap>
<institution>National Institutes of Natural Sciences</institution>
<institution-id institution-id-type="doi" vocab="open-funder-registry" vocab-identifier="10.13039/open_funder_registry">10.13039/501100006321</institution-id>
</institution-wrap>
</funding-source>
<award-id rid="sp1">81972544, 82273435, 81672679</award-id>
</award-group>
<award-group id="gs2">
<funding-source id="sp2">
<institution-wrap>
<institution>Natural Science Foundation of Guangdong Province</institution>
<institution-id institution-id-type="doi" vocab="open-funder-registry" vocab-identifier="10.13039/open_funder_registry">10.13039/501100003453</institution-id>
</institution-wrap>
</funding-source>
<award-id rid="sp2">No. 2023A1515011763, No.2025A1515010170</award-id>
</award-group>
<funding-statement>The author(s) declared that financial support was received for&#xa0;this work and/or its publication. This work was supported the&#xa0;Natural Science Foundation of Guangdong Province, China (No.2023A1515011763, 2025A1515010170) and the National Natural Science Foundation of China (No.81972544, 82273435, 81672679). The funders did not play a role in manuscript design, data collection, data analysis, data interpretation or writing of the manuscript.</funding-statement>
</funding-group>
<counts>
<fig-count count="5"/>
<table-count count="2"/>
<equation-count count="0"/>
<ref-count count="87"/>
<page-count count="0"/>
<word-count count="0"/>
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<custom-meta-group>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Cancer Immunity and Immunotherapy</meta-value>
</custom-meta>
</custom-meta-group>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<label>1</label>
<title>Introduction</title>
<p>Immune checkpoint inhibitors (ICIs) have revolutionized cancer therapy, particularly in the treatment of head and neck squamous cell carcinoma (HNSCC). Although their therapeutic benefits are substantial, ICIs frequently trigger immune-related adverse events (irAE) affecting multiple organs, including endocrine glands (<xref ref-type="bibr" rid="B1">1</xref>&#x2013;<xref ref-type="bibr" rid="B5">5</xref>), exocrine glands (<xref ref-type="bibr" rid="B6">6</xref>&#x2013;<xref ref-type="bibr" rid="B8">8</xref>), skin (<xref ref-type="bibr" rid="B9">9</xref>), gastrointestinal tract (<xref ref-type="bibr" rid="B10">10</xref>), and liver (<xref ref-type="bibr" rid="B11">11</xref>, <xref ref-type="bibr" rid="B12">12</xref>). In particular, Cappelli et&#xa0;al. reported that sicca symptoms affecting the eyes and mouth occur in 30.7% of patients receiving ICI therapy, substantially impacting their quality of life (<xref ref-type="bibr" rid="B13">13</xref>). Despite their clinical significance, the underlying mechanisms of these complications remain poorly understood, which hinders the development of effective prevention and management strategies.</p>
<p>The salivary glands play an essential role in oral health through their production of saliva, which maintains dental mineral balance, provides mucosal protection, and establishes crucial antimicrobial defenses (<xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B15">15</xref>). Although ICI-induced sialadenitis is increasingly recognized, its pathophysiology remains controversial (<xref ref-type="bibr" rid="B16">16</xref>, <xref ref-type="bibr" rid="B17">17</xref>). Some researchers classify it as ICI-induced Sj&#xf6;gren&#x2019;s syndrome (SjS) (<xref ref-type="bibr" rid="B18">18</xref>, <xref ref-type="bibr" rid="B19">19</xref>); however, distinct clinical and histological features challenge this classification (<xref ref-type="bibr" rid="B20">20</xref>&#x2013;<xref ref-type="bibr" rid="B24">24</xref>) (<xref ref-type="bibr" rid="B25">25</xref>, <xref ref-type="bibr" rid="B26">26</xref>). Unlike classic SjS, it does not exhibit a female predominance (<xref ref-type="bibr" rid="B27">27</xref>), lacks characteristic autoantibodies (anti-SSA/SSB) (<xref ref-type="bibr" rid="B27">27</xref>, <xref ref-type="bibr" rid="B28">28</xref>), and demonstrates predominantly T-cell rather than B-cell-rich infiltrates (<xref ref-type="bibr" rid="B16">16</xref>, <xref ref-type="bibr" rid="B29">29</xref>). These differences raise a crucial question of whether ICI-induced sialadenitis is a variant of SjS or should it be recognized as a distinct pathological entity.</p>
<p>To bridge this knowledge gap, we conducted a comprehensive study integrating clinical observation, human tissue analysis, and a preclinical animal model. We first identified a unique CD4<sup>+</sup> T cell-dominant, Th17-skewed inflammation with elevated IL-17A in patients with HNSCC undergoing ICI therapy. To test the functional significance of this pathway, we generated a mouse model of sialadenitis induced by anti-PD-1 therapy. Critically, therapeutic blockade of IL-17A in this model restored glandular function. Thus, our findings identify ICI-induced sialadenitis as a Th17-driven pathology and highlight the IL-17 axis as a promising druggable target.</p>
</sec>
<sec id="s2" sec-type="results">
<label>2</label>
<title>Results</title>
<sec id="s2_1">
<label>2.1</label>
<title>ICI therapy induced severe glandular hypofunction and sicca-like symptoms</title>
<p>The study cohort comprised 25 pathologically confirmed patients (21 male; median age 52 years) with HNSCC who were being treated with pembrolizumab or tislelizumab, a biologic targeting programmed cell death 1 (PD&#x2010;1) (<xref ref-type="fig" rid="f1"><bold>Figure&#xa0;1A</bold></xref>). No patient had a pre&#x2010;existing autoimmune disease. The median interval between the onset of ICI and the onset of dry mouth was 3 months (<xref ref-type="table" rid="T1"><bold>Table&#xa0;1</bold></xref>).</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>ICI therapy induces severe glandular hypofunction and sicca-like symptoms. <bold>(A)</bold> Flowchart of patient enrollment, treatment, clinical testing, and specimen collection. <bold>(B)</bold> Unstimulated whole salivary flow (UWSF), <bold>(C)</bold> stimulated whole salivary flow (SWSF), and <bold>(E)</bold> tear secretion (Schirmer&#x2019;s test) were significantly reduced after treatment compared with baseline. <bold>(D)</bold> Intraoral photographs of patients with xerostomia. Data represent mean &#xb1; SEM. Paired t-test; *p &lt; 0.05, **p &lt; 0.01, ***p &lt; 0.001.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-17-1755419-g001.tif">
<alt-text content-type="machine-generated">Panel A presents a timeline diagram comparing untreated and immune checkpoint inhibitor (ICIs)-treated groups, including tumor diagnosis, pembrolizumab treatment cycles, symptom assessments, and surgical resection. Panels B, C, and E show dot plots of individual saliva and tear flow rates pre- and post-treatment, indicating significant decreases post-treatment. Panel D displays two close-up clinical photos of patients&#x2019; open mouths and tongues, illustrating oral changes.</alt-text>
</graphic></fig>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Baseline characteristics of patients.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left">Patient</th>
<th valign="middle" align="left">Gender</th>
<th valign="middle" align="left">Age at diagnosis</th>
<th valign="middle" align="left">Previous autoimmune</th>
<th valign="middle" align="left">Underlying cancer</th>
<th valign="middle" align="left">Tumor classification</th>
<th valign="middle" align="left">Previous history</th>
<th valign="middle" align="left">Smoking history</th>
<th valign="middle" align="left">Drinking history</th>
<th valign="middle" align="left">Chewing betelnut history</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left">Male</td>
<td valign="middle" align="left">35</td>
<td valign="middle" align="left">No</td>
<td valign="middle" align="left">Right tongue</td>
<td valign="middle" align="left">cT3N1M0</td>
<td valign="middle" align="left">Hepatitis B, Nasopharyngeal carcinoma</td>
<td valign="middle" align="left">Yes</td>
<td valign="middle" align="left">Yes</td>
<td valign="middle" align="left">No</td>
</tr>
<tr>
<td valign="middle" align="left">2</td>
<td valign="middle" align="left">Male</td>
<td valign="middle" align="left">69</td>
<td valign="middle" align="left">No</td>
<td valign="middle" align="left">bilateral mouth floor</td>
<td valign="middle" align="left">cT4aN2bM0</td>
<td valign="middle" align="left">No</td>
<td valign="middle" align="left">Yes</td>
<td valign="middle" align="left">Yes</td>
<td valign="middle" align="left">No</td>
</tr>
<tr>
<td valign="middle" align="left">3</td>
<td valign="middle" align="left">Female</td>
<td valign="middle" align="left">58</td>
<td valign="middle" align="left">No</td>
<td valign="middle" align="left">Left inferior gingiva</td>
<td valign="middle" align="left">cT3N2bM0</td>
<td valign="middle" align="left">No</td>
<td valign="middle" align="left">No</td>
<td valign="middle" align="left">No</td>
<td valign="middle" align="left">No</td>
</tr>
<tr>
<td valign="middle" align="left">4</td>
<td valign="middle" align="left">Male</td>
<td valign="middle" align="left">52</td>
<td valign="middle" align="left">No</td>
<td valign="middle" align="left">Left buccal</td>
<td valign="middle" align="left">cT3N2bM0</td>
<td valign="middle" align="left">No</td>
<td valign="middle" align="left">No</td>
<td valign="middle" align="left">No</td>
<td valign="middle" align="left">No</td>
</tr>
<tr>
<td valign="middle" align="left">5</td>
<td valign="middle" align="left">Male</td>
<td valign="middle" align="left">36</td>
<td valign="middle" align="left">No</td>
<td valign="middle" align="left">Right tongue</td>
<td valign="middle" align="left">cT4aN2bM0</td>
<td valign="middle" align="left">No</td>
<td valign="middle" align="left">Yes</td>
<td valign="middle" align="left">Yes</td>
<td valign="middle" align="left">Yes</td>
</tr>
<tr>
<td valign="middle" align="left">6</td>
<td valign="middle" align="left">Male</td>
<td valign="middle" align="left">47</td>
<td valign="middle" align="left">No</td>
<td valign="middle" align="left">bilateral maxillary sinus</td>
<td valign="middle" align="left">cT4aN2bM0</td>
<td valign="middle" align="left">Diabetes Mellitus, Hyperuricemia</td>
<td valign="middle" align="left">Yes</td>
<td valign="middle" align="left">Yes</td>
<td valign="middle" align="left">No</td>
</tr>
<tr>
<td valign="middle" align="left">7</td>
<td valign="middle" align="left">Male</td>
<td valign="middle" align="left">57</td>
<td valign="middle" align="left">No</td>
<td valign="middle" align="left">Right tonsil,  root of tongue</td>
<td valign="middle" align="left">cT4bN3bM0</td>
<td valign="middle" align="left">Hypertension, Diabetes Mellitus</td>
<td valign="middle" align="left">No</td>
<td valign="middle" align="left">Yes</td>
<td valign="middle" align="left">No</td>
</tr>
<tr>
<td valign="middle" align="left">8</td>
<td valign="middle" align="left">Male</td>
<td valign="middle" align="left">57</td>
<td valign="middle" align="left">No</td>
<td valign="middle" align="left">Left skull base, maxilla</td>
<td valign="middle" align="left">cT4bN0M0</td>
<td valign="middle" align="left">Diabetes Mellitus</td>
<td valign="middle" align="left">Yes</td>
<td valign="middle" align="left">No</td>
<td valign="middle" align="left">No</td>
</tr>
<tr>
<td valign="middle" align="left">9</td>
<td valign="middle" align="left">Female</td>
<td valign="middle" align="left">25</td>
<td valign="middle" align="left">No</td>
<td valign="middle" align="left">Right mouth floor,  tongue</td>
<td valign="middle" align="left">cT3N1M0</td>
<td valign="middle" align="left">No</td>
<td valign="middle" align="left">No</td>
<td valign="middle" align="left">No</td>
<td valign="middle" align="left">No</td>
</tr>
<tr>
<td valign="middle" align="left">10</td>
<td valign="middle" align="left">Male</td>
<td valign="middle" align="left">44</td>
<td valign="middle" align="left">No</td>
<td valign="middle" align="left">Left palate</td>
<td valign="middle" align="left">cT4aN0M0</td>
<td valign="middle" align="left">No</td>
<td valign="middle" align="left">No</td>
<td valign="middle" align="left">No</td>
<td valign="middle" align="left">No</td>
</tr>
<tr>
<td valign="middle" align="left">11</td>
<td valign="middle" align="left">Male</td>
<td valign="middle" align="left">56</td>
<td valign="middle" align="left">No</td>
<td valign="middle" align="left">Right palate, Right oropharynx , bilateral tongue</td>
<td valign="middle" align="left">cT4aN3bM0</td>
<td valign="middle" align="left">No</td>
<td valign="middle" align="left">Yes</td>
<td valign="middle" align="left">Yes</td>
<td valign="middle" align="left">Yes</td>
</tr>
<tr>
<td valign="middle" align="left">12</td>
<td valign="middle" align="left">Female</td>
<td valign="middle" align="left">65</td>
<td valign="middle" align="left">No</td>
<td valign="middle" align="left">bilateral upper lip, superior gingiva</td>
<td valign="middle" align="left">cT3N0M0</td>
<td valign="middle" align="left">No</td>
<td valign="middle" align="left">No</td>
<td valign="middle" align="left">No</td>
<td valign="middle" align="left">No</td>
</tr>
<tr>
<td valign="middle" align="left">13</td>
<td valign="middle" align="left">Male</td>
<td valign="middle" align="left">65</td>
<td valign="middle" align="left">No</td>
<td valign="middle" align="left">Right maxilla, gingiva, oropharynx</td>
<td valign="middle" align="left">cT4bN0M0</td>
<td valign="middle" align="left">Hypertension</td>
<td valign="middle" align="left">Yes</td>
<td valign="middle" align="left">Yes</td>
<td valign="middle" align="left">Yes</td>
</tr>
<tr>
<td valign="middle" align="left">14</td>
<td valign="middle" align="left">Male</td>
<td valign="middle" align="left">49</td>
<td valign="middle" align="left">No</td>
<td valign="middle" align="left">bilateral tongue, mouth floor</td>
<td valign="middle" align="left">cT4aN2aM0</td>
<td valign="middle" align="left">No</td>
<td valign="middle" align="left">Yes</td>
<td valign="middle" align="left">Yes</td>
<td valign="middle" align="left">No</td>
</tr>
<tr>
<td valign="middle" align="left">15</td>
<td valign="middle" align="left">Male</td>
<td valign="middle" align="left">48</td>
<td valign="middle" align="left">No</td>
<td valign="middle" align="left">bilateral tongue</td>
<td valign="middle" align="left">cT3N0M0</td>
<td valign="middle" align="left">No</td>
<td valign="middle" align="left">No</td>
<td valign="middle" align="left">Yes</td>
<td valign="middle" align="left">No</td>
</tr>
<tr>
<td valign="middle" align="left">16</td>
<td valign="middle" align="left">Male</td>
<td valign="middle" align="left">43</td>
<td valign="middle" align="left">No</td>
<td valign="middle" align="left">Left mouth floor, buccal, inferior gingiva</td>
<td valign="middle" align="left">cT4aN0M0</td>
<td valign="middle" align="left">Hypertension</td>
<td valign="middle" align="left">Yes</td>
<td valign="middle" align="left">Yes</td>
<td valign="middle" align="left">Yes</td>
</tr>
<tr>
<td valign="middle" align="left">17</td>
<td valign="middle" align="left">Male</td>
<td valign="middle" align="left">58</td>
<td valign="middle" align="left">No</td>
<td valign="middle" align="left">Right mouth floor,  tongue</td>
<td valign="middle" align="left">cT2N2bM0</td>
<td valign="middle" align="left">No</td>
<td valign="middle" align="left">Yes</td>
<td valign="middle" align="left">Yes</td>
<td valign="middle" align="left">Yes</td>
</tr>
<tr>
<td valign="middle" align="left">18</td>
<td valign="middle" align="left">Male</td>
<td valign="middle" align="left">67</td>
<td valign="middle" align="left">No</td>
<td valign="middle" align="left">Right superior gingiva</td>
<td valign="middle" align="left">cT3N0M0</td>
<td valign="middle" align="left">Hypertension, Diabetes Mellitus</td>
<td valign="middle" align="left">No</td>
<td valign="middle" align="left">No</td>
<td valign="middle" align="left">No</td>
</tr>
<tr>
<td valign="middle" align="left">19</td>
<td valign="middle" align="left">Female</td>
<td valign="middle" align="left">75</td>
<td valign="middle" align="left">No</td>
<td valign="middle" align="left">Left buccal</td>
<td valign="middle" align="left">cTisN0M0</td>
<td valign="middle" align="left">Breast cancer, Hypertension, Diabetes Mellitus</td>
<td valign="middle" align="left">No</td>
<td valign="middle" align="left">No</td>
<td valign="middle" align="left">No</td>
</tr>
<tr>
<td valign="middle" align="left">20</td>
<td valign="middle" align="left">Male</td>
<td valign="middle" align="left">50</td>
<td valign="middle" align="left">No</td>
<td valign="middle" align="left">Right tongue</td>
<td valign="middle" align="left">cT3N0M0</td>
<td valign="middle" align="left">No</td>
<td valign="middle" align="left">No</td>
<td valign="middle" align="left">No</td>
<td valign="middle" align="left">Yes</td>
</tr>
<tr>
<td valign="middle" align="left">21</td>
<td valign="middle" align="left">Male</td>
<td valign="middle" align="left">61</td>
<td valign="middle" align="left">No</td>
<td valign="middle" align="left">bilateral inferior gingiva</td>
<td valign="middle" align="left">cT4aN2bM0</td>
<td valign="middle" align="left">Hypertension</td>
<td valign="middle" align="left">Yes</td>
<td valign="middle" align="left">Yes</td>
<td valign="middle" align="left">Yes</td>
</tr>
<tr>
<td valign="middle" align="left">22</td>
<td valign="middle" align="left">Male</td>
<td valign="middle" align="left">59</td>
<td valign="middle" align="left">No</td>
<td valign="middle" align="left">Left root of tongue, oropharynx</td>
<td valign="middle" align="left">cT4aN3bM0</td>
<td valign="middle" align="left">Hypertension, Diabetes Mellitus</td>
<td valign="middle" align="left">Yes</td>
<td valign="middle" align="left">Yes</td>
<td valign="middle" align="left">No</td>
</tr>
<tr>
<td valign="middle" align="left">23</td>
<td valign="middle" align="left">Male</td>
<td valign="middle" align="left">73</td>
<td valign="middle" align="left">No</td>
<td valign="middle" align="left">Right inferior gingiva, buccal</td>
<td valign="middle" align="left">cT4bN1M0</td>
<td valign="middle" align="left">Hypertension, Diabetes Mellitus</td>
<td valign="middle" align="left">No</td>
<td valign="middle" align="left">Yes</td>
<td valign="middle" align="left">No</td>
</tr>
<tr>
<td valign="middle" align="left">24</td>
<td valign="middle" align="left">Male</td>
<td valign="middle" align="left">32</td>
<td valign="middle" align="left">No</td>
<td valign="middle" align="left">Right tongue</td>
<td valign="middle" align="left">cT3N0M0</td>
<td valign="middle" align="left">No</td>
<td valign="middle" align="left">Yes</td>
<td valign="middle" align="left">Yes</td>
<td valign="middle" align="left">Yes</td>
</tr>
<tr>
<td valign="middle" align="left">25</td>
<td valign="middle" align="left">Male</td>
<td valign="middle" align="left">52</td>
<td valign="middle" align="left">No</td>
<td valign="middle" align="left">Left oropharynx</td>
<td valign="middle" align="left">cT4bN0M0</td>
<td valign="middle" align="left">Hypertension</td>
<td valign="middle" align="left">Yes</td>
<td valign="middle" align="left">Yes</td>
<td valign="middle" align="left">Yes</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>To quantitatively assess the impact of ICI therapy on exocrine gland function, we prospectively monitored salivary and lacrimal secretion in the 25 patients before and after treatment. After treatment, the total unstimulated salivary flow (UWSF) was significantly reduced compared with the pre-treatment levels (<italic>P &lt;</italic> 0.05), with decreased secretion observed in 64% of patients (16/25) (<xref ref-type="fig" rid="f1"><bold>Figure&#xa0;1B</bold></xref>). Notably, all treated patients exhibited UWSF rates below the diagnostic threshold for hyposalivation (1.5 mL/15 min), with a median of 0.45 mL/15 min (range: 0&#x2013;2.49 mL/15 min), indicating severe resting-state salivary hypofunction. Similarly, Stimulated Whole Salivary Flow (SWSF) following exposure to 3% citric acid exhibited significant post-treatment reduction in 72% of patients (18/25) (<italic>P &lt;</italic> 0.05) (<xref ref-type="fig" rid="f1"><bold>Figure&#xa0;1C</bold></xref>). A common clinical sign among the enrolled patients was severe xerostomia, characterized by the absence of salivary pooling and an atrophic tongue surface (<xref ref-type="fig" rid="f1"><bold>Figure&#xa0;1D</bold></xref>). Beyond salivary dysfunction, lacrimal gland function, assessed by the Schirmer&#x2019;s test, was also significantly impaired. Post-treatment tear secretion demonstrated marked bilateral reduction compared with baseline measurements in 68% of patients (17/25) (<italic>P &lt;</italic> 0.05), providing an objective physiological basis for xerophthalmia (<xref ref-type="fig" rid="f1"><bold>Figure&#xa0;1E</bold></xref>).</p>
<p>From a subjective assessment perspective, we employed the Multidisciplinary Salivary Gland Society (MSGS) scale (<xref ref-type="bibr" rid="B30">30</xref>) as our primary evaluation tool. Despite the lack of significant changes in xerostomia scores on the MSGS scale (<xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Figure S1</bold></xref>), subsequent clinical interview assessments revealed a substantial symptomatic burden reported by patients. Xerostomia was often exacerbated during physical activity or at night, and some individuals experienced nocturnal awakening due to tongue&#x2013;palate adhesion, which required frequent water intake. Additional complaints included viscous saliva, dry throat with hoarseness, dysgeusia (altered taste perception), and reduced tolerance to spicy or acidic foods.</p>
</sec>
<sec id="s2_2">
<label>2.2</label>
<title>ICI therapy caused salivary gland fibrosis and destruction of functional acinar structures</title>
<p>To elucidate the pathological basis of glandular hypofunction after ICI therapy, we analyzed salivary gland specimens (submandibular gland, SMG; sublingual gland, SLG; and parotid gland, PG) from 50 patients treated with and without ICI. The baseline information is shown in <xref ref-type="table" rid="T2"><bold>Table&#xa0;2</bold></xref>. The acinar marker aquaporin-5 (AQP5) (<xref ref-type="bibr" rid="B31">31</xref>) and the ductal marker cytokeratin 7 (CK7) were analyzed, reflecting secretory function and ductal architecture, respectively. The ICIs-treated group and the untreated group showed different patterns: In the untreated group, AQP5 and CK7 precisely delineated the acinar and ductal structures (<xref ref-type="fig" rid="f2"><bold>Figures&#xa0;2A, B</bold></xref>). In contrast, glands from the ICIs group exhibited widespread atrophy and loss of AQP5-positive acini (<xref ref-type="fig" rid="f2"><bold>Figures&#xa0;2A, C, D</bold></xref>). Quantitative analysis confirmed a significant downregulation of the expression of the AQP5 protein in the ICI group compared with that of controls, whereas the CK7 protein remained unchanged (<xref ref-type="fig" rid="f2"><bold>Figure&#xa0;2E</bold></xref>). These findings suggest that ICI therapy causes selective damage to acinar cells, thereby compromising glandular secretory function, while the ductal structures remained relatively intact.</p>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Baseline characteristics of patients whom clinical specimens were obtained.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left">Characteristic </th>
<th valign="middle" align="left">Untreated immunotherapy group (n=20)</th>
<th valign="middle" align="left">Treated immunotherapy group (n=30)</th>
<th valign="middle" align="left">Total(n=50)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">Year</td>
<td valign="middle" align="left">50.7 &#xb1; 15.0</td>
<td valign="middle" align="left">51 &#xb1; 12.75</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<th valign="middle" colspan="4" align="left">Sex</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Male</td>
<td valign="middle" align="left">14</td>
<td valign="middle" align="left">25</td>
<td valign="middle" align="left">39</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Female</td>
<td valign="middle" align="left">7</td>
<td valign="middle" align="left">4</td>
<td valign="middle" align="left">11</td>
</tr>
<tr>
<th valign="middle" colspan="4" align="left">Position of tumor</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Tongue</td>
<td valign="middle" align="left">15</td>
<td valign="middle" align="left">13</td>
<td valign="middle" align="left">28</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Buccal</td>
<td valign="middle" align="left">2</td>
<td valign="middle" align="left">6</td>
<td valign="middle" align="left">8</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Gingival</td>
<td valign="middle" align="left">2</td>
<td valign="middle" align="left">5</td>
<td valign="middle" align="left">7</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;other</td>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left">6</td>
<td valign="middle" align="left">7</td>
</tr>
<tr>
<th valign="middle" colspan="4" align="left">Smoking history</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;+</td>
<td valign="middle" align="left">10</td>
<td valign="middle" align="left">24</td>
<td valign="middle" align="left">34</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;-</td>
<td valign="middle" align="left">11</td>
<td valign="middle" align="left">5</td>
<td valign="middle" align="left">16</td>
</tr>
<tr>
<th valign="middle" colspan="4" align="left">History of chewing betelnut</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;+</td>
<td valign="middle" align="left">7</td>
<td valign="middle" align="left">11</td>
<td valign="middle" align="left">18</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;-</td>
<td valign="middle" align="left">14</td>
<td valign="middle" align="left">18</td>
<td valign="middle" align="left">32</td>
</tr>
<tr>
<th valign="middle" colspan="4" align="left">History of alcoholism</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;+</td>
<td valign="middle" align="left">9</td>
<td valign="middle" align="left">22</td>
<td valign="middle" align="left">31</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;-</td>
<td valign="middle" align="left">12</td>
<td valign="middle" align="left">7</td>
<td valign="middle" align="left">19</td>
</tr>
<tr>
<th valign="middle" colspan="4" align="left">Radiotherapy</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;+</td>
<td valign="middle" align="left">0</td>
<td valign="middle" align="left">0</td>
<td valign="middle" align="left">0</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;-</td>
<td valign="middle" align="left">21</td>
<td valign="middle" align="left">29</td>
<td valign="middle" align="left">50</td>
</tr>
<tr>
<th valign="middle" colspan="4" align="left">Chemotherapy history</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;+</td>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left">3</td>
<td valign="middle" align="left">4</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;-</td>
<td valign="middle" align="left">20</td>
<td valign="middle" align="left">26</td>
<td valign="middle" align="left">46</td>
</tr>
<tr>
<th valign="middle" colspan="4" align="left">TNM stage</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;I</td>
<td valign="middle" align="left">2</td>
<td valign="middle" align="left">0</td>
<td valign="middle" align="left">2</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;II</td>
<td valign="middle" align="left">3</td>
<td valign="middle" align="left">0</td>
<td valign="middle" align="left">3</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;III</td>
<td valign="middle" align="left">9</td>
<td valign="middle" align="left">6</td>
<td valign="middle" align="left">15</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;IVA</td>
<td valign="middle" align="left">7</td>
<td valign="middle" align="left">13</td>
<td valign="middle" align="left">20</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;IVB</td>
<td valign="middle" align="left">0</td>
<td valign="middle" align="left">8</td>
<td valign="middle" align="left">8</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;IVC</td>
<td valign="middle" align="left">0</td>
<td valign="middle" align="left">2</td>
<td valign="middle" align="left">2</td>
</tr>
<tr>
<th valign="middle" colspan="4" align="left">Comorbidities</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Hypertension</td>
<td valign="middle" align="left">5</td>
<td valign="middle" align="left">3</td>
<td valign="middle" align="left">8</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Diabetes Mellitus</td>
<td valign="middle" align="left">3</td>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left">4</td>
</tr>
</tbody>
</table>
</table-wrap>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>ICI therapy causes salivary gland fibrosis and destruction of functional acinar structures. <bold>(A)</bold> Immunohistochemistry (IHC) for aquaporin-5 (AQP5) in salivary gland (SG) sections from control and treated patients; nuclei counterstained with hematoxylin. Scale bars, 1 mm (1&#xd7;) and 100 &#xb5;m (20&#xd7;). Right: quantification as percent AQP5-positive area per field. <bold>(B)</bold> IHC for cytokeratin 7 (CK7); nuclei counterstained with hematoxylin. Scale bars, 1 mm (1&#xd7;) and 100 &#xb5;m (20&#xd7;). Right: quantification as percent CK7-positive area per field. <bold>(C)</bold> Western blots of AQP5 and CK7 in SG lysates; &#x3b2;-actin as loading control. Right: densitometry normalized to &#x3b2;-actin. <bold>(D)</bold> Immunofluorescence for AQP5 (red), CK7 (yellow), and nuclei (Hoechst, blue). Scale bars, 20 &#xb5;m. <bold>(E)</bold> Quantification of mean fluorescence intensity (MFI) for AQP5 and CK7. <bold>(F)</bold> Hematoxylin and eosin (H&amp;E) staining of submandibular (SMG), parotid (PG), and sublingual (SLG) glands. Scale bars, 1 mm (1&#xd7;) and 100 &#xb5;m (20&#xd7;). <bold>(G)</bold> Lymphocytic infiltration quantified by focus score (number of foci &#x2265;50 lymphocytes per 4 mm^2). Data are mean &#xb1; SEM. Mann&#x2013;Whitney U test. <bold>(H)</bold> Masson&#x2019;s trichrome staining of SMG, PG, and SLG; collagen blue, cytoplasm/muscle red. Scale bars, 1 mm (1&#xd7;) and 100 &#xb5;m (20&#xd7;). <bold>(I)</bold> Fibrotic area quantified as percent blue-stained area per field. Data are mean &#xb1; SEM. Student&#x2019;s t test. *p &lt; 0.05, **p &lt; 0.01.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-17-1755419-g002.tif">
<alt-text content-type="machine-generated">Panel of scientific microscopy and histology images with quantified bar graphs comparing untreated and treated samples. Immunohistochemistry and immunofluorescence show AQP5 and CK7 markers with staining differences between groups. Western blot bands and analyses compare protein levels of AQP5 and CK7. H&amp;E and Masson&#x2019;s Trichrome staining display tissue and collagen changes in salivary gland subtypes (smg, pg, slg). Quantitative graphs assess cell positivity, infiltration scores, and collagen fiber percentage, with significant changes indicated by asterisks.</alt-text>
</graphic></fig>
<p>The destruction of the acinar and duct appeared to be the result of lymphocyte infiltration. A striking example was observed in a patient who had received five cycles of ICI therapy, and whose submandibular gland showed near-total acinar destruction, with remnant ducts engulfed by diffuse lymphocytic infiltrates (<xref ref-type="fig" rid="f2"><bold>Figure&#xa0;2D</bold></xref>). Hematoxylin and Eosin (H&amp;E) staining revealed prominent focal lymphocytic infiltrates in glands of the ICI group, predominantly in periductal areas, which were absent in controls (<xref ref-type="fig" rid="f2"><bold>Figure&#xa0;2F</bold></xref>). Semi-quantitative scoring confirmed this finding (<italic>P &lt;</italic> 0.05) (<xref ref-type="fig" rid="f2"><bold>Figure&#xa0;2G</bold></xref>).</p>
<p>To assess tissue remodeling, Masson&#x2019;s trichrome staining was performed. This revealed extensive deposition of dense collagen fibers, indicative of significant fibrosis, in the interlobular and periductal stroma of the ICI group, a feature not observed in controls (<xref ref-type="fig" rid="f2"><bold>Figures&#xa0;2H, I</bold></xref>).</p>
<p>Collectively, these findings demonstrate that ICI therapy induces periductal-centric lymphocytic sialadenitis accompanied by severe fibrosis. This pathological process culminates in the destruction of functional acinar-ductal units, which is responsible for the progressive loss of secretory function.</p>
</sec>
<sec id="s2_3">
<label>2.3</label>
<title>Immunotherapy-induced sialadenitis was characterized by a unique CD4<sup>+</sup> T cell-dominant lymphocytic infiltrate</title>
<p>The pathological profile of sialadenitis is etiology-dependent and requires a careful differential diagnosis. Therefore, to identify the underlying cause of this ICI-induced-condition, further elucidation of its pathological characteristics is required. To characterize the immune composition of ICI-induced sialadenitis, we performed immunohistochemistry and immunofluorescence staining of tissue sections in 3 major glands. The results revealed that lymphocytic foci were densely populated by CD3<sup>+</sup> T cells and CD19<sup>+</sup> B cells were scattered only sparsely and individually, failing to form aggregates (<xref ref-type="fig" rid="f3"><bold>Figures&#xa0;3A, B</bold></xref>).</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Immunotherapy-induced sialadenitis is characterized by a unique CD4<sup>+</sup> T cell-dominant lymphocytic infiltrate. <bold>(A)</bold> Representative immunohistochemical (IHC) staining for CD3 (pan T-cell marker), CD19 (B-cell marker), CD4 (T-helper cell marker), and CD8 (cytotoxic T-cell marker) in salivary gland tissues. Positive staining is indicated by brown diaminobenzidine (DAB), and sections were counterstained with hematoxylin (blue).Scale bars, 1 mm (1&#xd7;) and 100 &#x3bc;m (20&#xd7;). <bold>(B)</bold> Quantitative analysis of the number of CD3<sup>+</sup>, CD19<sup>+</sup>, CD4<sup>+</sup>, and CD8<sup>+</sup> positive cells per mm&#xb2; of tissue. <bold>(C)</bold> Immunofluorescence showing organized lymphocytic foci in the treatment group, with clusters of CD19<sup>+</sup> (white) surrounded by CD3<sup>+</sup> (red), including both CD4<sup>+</sup>(yellow) and CD8<sup>+</sup> subsets (pink). Nuclei are stained blue with Hoechst. Scale bars, 50 &#x3bc;m. <bold>(D)</bold> Quantitative spatial analysis of immune cell composition and density (cells per mm^2). Data are mean &#xb1; SEM. Student&#x2019;s t test or Mann&#x2013;Whitney U test; *p &lt; 0.05, **p &lt; 0.01. <bold>(E)</bold>&#xa0;Representative multiplex immunofluorescence images showing CD4<sup>+</sup> (red), CD8<sup>+</sup> (green), and AQP5<sup>+</sup>(yellow) staining in submandibular glands. Nuclei are stained blue with Hoechst. Scale bars, 50 &#xb5;m. <bold>(F)</bold> Correlation plots of T cell subset density versus AQP5<sup>+</sup> area percentage. A significant negative correlation was found for CD4<sup>+</sup>T cells, while the correlation was not significant for CD8<sup>+</sup> T cells. Statistics were calculated using Spearman&#x2019;s correlation. Spearman&#x2019;s correlation (&#x3c1;) and p-values are shown.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-17-1755419-g003.tif">
<alt-text content-type="machine-generated">Panel A shows immunohistochemistry images for CD3, CD19, CD4, and CD8 in lung tissue from untreated and treated groups; enlarged views are provided. Panel B displays bar graphs quantifying positive cells for each marker with statistical significance indicated. Panel C presents immunofluorescence images showing Hoechst-stained nuclei and specific markers in untreated and treated tissues, with merge channels. Panel D contains bar graphs quantifying marker-positive cells from immunofluorescence, showing significant increases in CD3 and CD4 with treatment. Panel E displays merged and single-channel immunofluorescence images for CD4, CD8, AQP5, and Hoechst in untreated and treated samples. Panel F shows scatter plots of AQP5-positive cell percentage against CD4 or CD8-positive cells, highlighting a significant negative correlation for CD4.</alt-text>
</graphic></fig>
<p>Further analysis of T cell subsets revealed that the distribution of CD4<sup>+</sup> T cells within the foci closely mirrored that of CD3<sup>+</sup> T cells, identifying them as the core component of the infiltrated lymphocyte. Compared with the untreated group, the glands of the ICI group showed a significant increase in the density of CD3<sup>+</sup> and CD4<sup>+</sup> T cells (<italic>P &lt;</italic> 0.05). However, the densities of CD8<sup>+</sup> T cells and CD19<sup>+</sup> B cells did not differ significantly between groups. Moreover, although CD8<sup>+</sup> cytotoxic T cells were present, they were diffusely scattered and did not form dominant clusters within the foci (<xref ref-type="fig" rid="f3"><bold>Figure&#xa0;3C</bold></xref>). Quantitative analysis corroborated these observations (<xref ref-type="fig" rid="f3"><bold>Figure&#xa0;3D</bold></xref>). To identify the immune cell population driving glandular damage, we conducted multiplex immunofluorescence which revealed a striking spatial association: dense CD4<sup>+</sup> T cell infiltrates consistently corresponded with a profound loss of AQP5<sup>+</sup> acini. This association was not apparent for CD8<sup>+</sup> T cells (<xref ref-type="fig" rid="f3"><bold>Figure&#xa0;3E</bold></xref>). Quantitative analysis confirmed this observation, demonstrating a significant negative correlation between CD4<sup>+</sup> T cell density and AQP5-positive area (Spearman&#x2019;s &#x3c1; = -0.9588, P &lt; 0.0001) (<xref ref-type="fig" rid="f3"><bold>Figure&#xa0;3F</bold></xref>). These findings pinpoint these CD4<sup>+</sup> T cells as the primary mediators of acinar destruction in this disease. To support our histological findings and quantitatively define the infiltrating leukocyte populations, we performed flow cytometry on single-cell suspensions isolated from salivary gland specimens (<xref ref-type="fig" rid="f4"><bold>Figure&#xa0;4A</bold></xref>). Due to the limited availability of patient samples, the samples were restricted to the submandibular gland. In particular, the submandibular gland contributes about 70% of total saliva secretion, highlighting its predominant role in salivary function and the rationale for focusing our analysis on this gland. Consistent with our IHC data, flow cytometric analysis revealed a significant increase in the percentage of CD3<sup>+</sup> and CD4<sup>+</sup> T cells in the ICI group compared with that of controls (<italic>P &lt;</italic> 0.05). (<xref ref-type="fig" rid="f4"><bold>Figure&#xa0;4B</bold></xref>).</p>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>The Th17/IL-17 axis is the core pathogenic pathway driving immunotherapy-induced sialadenitis. <bold>(A)</bold> Representative flow cytometry plots illustrating the gating strategy for immunophenotyping of infiltrating leukocytes from dissociated salivary gland tissues. Live, single cells were first isolated, followed by the identification of CD45<sup>+</sup> cells (leukocytes). Within this population, T cells were defined as CD3<sup>+</sup> cells. T cells were further resolved into CD4<sup>+</sup> and CD8<sup>+</sup> subsets. The CD4<sup>+</sup> T-helper cell compartment was subsequently analyzed for the expression of chemokine receptors CXCR3 and CCR6 to identify Th1 (CXCR3<sup>+</sup>CCR6<sup>-</sup>), Th2 (CXCR3<sup>-</sup>CCR6<sup>-</sup>), and Th17 (CCR6<sup>+</sup>CXCR3<sup>-</sup>) subsets. Using the identical initial gating hierarchy, Regulatory T cells (Tregs) were identified as CD25<sup>+</sup>FOXP3<sup>+</sup>. <bold>(B)</bold> Quantification of the frequencies of major immune cell populations in control and treatment groups. Bar graphs show the percentages of T cells (within the CD45<sup>+</sup> gate), CD4<sup>+</sup> and CD8<sup>+</sup> T cells (within the CD3+ T-cell gate), and Th1, Th2, Th17 cells and Treg cells (within the CD4<sup>+</sup> T-cell gate). <bold>(C)</bold> Quantitative real-time PCR (qRT-PCR) analysis of signature cytokine gene expression in CD4+ T cells purified from the salivary glands of control and treated patients. The expression of IFNG (Th1 signature), IL4 (Th2 signature), IL10, and TGFB1 (Treg/immunosuppressive signature) was assessed. Gene expression levels were normalized to the endogenous control GAPDH. Data are presented as relative fold change compared to the control group, calculated using the 2^-&#x394;&#x394;Ct method. <bold>(D)</bold> IL-17A protein levels in salivary gland tissue lysates were measured by ELISA. The concentration of IL-17A was normalized to the total protein content of each sample. <bold>(E)</bold> Immunofluorescence for CD4 (red) and IL-17A (green) in salivary glands. Co-expressing Th17 cells (yellow) were abundant in the treatment group but rare in controls. Nuclei are stained with Hoechst (blue). Scale bar, 50 &#x3bc;m. <bold>(F)</bold> IHC staining of PD-1 and PD-L1 in salivary glands. Scale bars,1mm(1&#xd7;) and 100&#x3bc;m(20&#xd7;).Results are shown as mean &#xb1; SEM. Statistical significance was determined using Student&#x2019;s t-test or Mann-Whitney U test. *p &lt; 0.05, **p &lt; 0.01.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-17-1755419-g004.tif">
<alt-text content-type="machine-generated">Figure displaying immunological analysis comparing untreated and treated groups. Panel A shows flow cytometry plots for CD3, CD4, CXCR3, CCR6, CD25, and Foxp3 markers. Panel B presents bar graphs quantifying immune cell populations with significant differences indicated. Panel C includes bar graphs of mRNA expression levels for IFN-&#x3b3;, IL-4, IL-17, TGF-&#x3b2;, and IL-10, showing statistical analysis. Panel D features a bar graph comparing IL-17 protein levels between groups. Panel E provides immunofluorescence images stained for Hoechst, CD4, IL-17A, and merged views. Panel F shows tissue sections stained for PD-1 and PD-L1.</alt-text>
</graphic></fig>
<p>Therefore, immunotherapy-induced sialadenitis presents a unique immune profile: a CD4<sup>+</sup> T cell-driven, B cell-quiescent, non-myeloid adaptive immune response.</p>
</sec>
<sec id="s2_4">
<label>2.4</label>
<title>The Th17/IL-17 axis was the core pathogenic pathway driving immunotherapy-induced sialadenitis</title>
<p>Given the predominance of CD4<sup>+</sup> T cells, we further examined their main functional subsets, including Th1, Th2, Th17, and regulatory T cells (Tregs) (<xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Figure S2</bold></xref>). The markers (Th1: CXCR3<sup>+</sup>CCR6<sup>-</sup>; Th17: CCR6<sup>+</sup> CXCR3<sup>-</sup>; Th2: CXCR3<sup>-</sup>CCR6<sup>-</sup>; Treg: CD25<sup>+</sup>Foxp3<sup>+</sup>) provided critical insight. Among all the subsets of CD4<sup>+</sup> T cells analyzed, only the population of Th17 cells was significantly and specifically expanded in the ICI group (<italic>P &lt;</italic> 0.05) (<xref ref-type="fig" rid="f4"><bold>Figure&#xa0;4B</bold></xref>). In contrast, the proportions of Th1, Th2, and Treg cells did not differ between the groups (<xref ref-type="fig" rid="f4"><bold>Figure&#xa0;4B</bold></xref>).</p>
<p>To determine whether this expansion of Th17 cells was functionally relevant, we assessed the expression of their hallmark effector cytokine, IL-17A, at the transcript, protein and tissue levels. First, quantitative real-time PCR (qPCR) analysis revealed a significant upregulation of IL17A mRNA in the ICI group (<italic>P &lt;</italic> 0.05) (<xref ref-type="fig" rid="f4"><bold>Figure&#xa0;4C</bold></xref>). In contrast, the signature cytokine mRNA levels for Th1 (IFN-&#x3b3;), Th2 (IL-4), and Tregs (IL-10, TGF-&#x3b2;) were comparable between the groups (<xref ref-type="fig" rid="f4"><bold>Figure&#xa0;4C</bold></xref>). This finding was corroborated at the protein level by ELISA, which demonstrated significantly higher concentrations of secreted IL-17A in tissue homogenates from the ICI group (<italic>P &lt;</italic> 0.05) (<xref ref-type="fig" rid="f4"><bold>Figure&#xa0;4D</bold></xref>). Finally, to link IL-17A production with infiltrating lymphocytes <italic>in situ</italic>, we performed immunofluorescence staining. The imaging revealed a clear co-localization of the IL-17A protein with infiltrating CD4<sup>+</sup> T cells, confirming these cells as the primary source of cytokines within the tissue (<xref ref-type="fig" rid="f4"><bold>Figure&#xa0;4E</bold></xref>). Nevertheless, given the therapeutic target of ICIs, we examined the expression of programmed death-1/programmed death-ligand 1 (PD-1/PD-L1). Immunohistochemical analysis revealed the absence of PD-L1 in normal ductal and acinar epithelial cells. Within inflammatory infiltrates, although some lymphocytes showed positive PD-1 staining, the intensity was generally mild to moderate (<xref ref-type="fig" rid="f4"><bold>Figure&#xa0;4F</bold></xref>). Furthermore, the staining for myeloid cell markers (e.g., macrophages and neutrophils) was negative, indicating that the infiltrate was not driven by innate immune cells (<xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Figure S3</bold></xref>).</p>
</sec>
<sec id="s2_5">
<label>2.5</label>
<title>A Preclinical model recapitulates the clinical phenotype and reveals a therapeutic role for IL-17A blockade</title>
<p>To establish a preclinical model that recapitulates our clinical findings, we administered an anti-PD-1 antibody to mice bearing tongue squamous cell carcinoma. Consistent with our observations in patient biopsies, flow cytometric analysis of SMGs from these mice revealed a significant increase in infiltrating CD45<sup>+</sup> leukocytes. Within this CD45<sup>+</sup> population, we observed a significant expansion of the CD3<sup>+</sup> T cell compartment, with no change in B cell frequency. Furthermore, the T cell population displayed a pronounced skewing towards a CD4<sup>+</sup> dominant phenotype (<xref ref-type="fig" rid="f5"><bold>Figures&#xa0;5A, B</bold></xref>). Histopathological examination further confirmed this parallel, showing massive lymphocytic infiltration and severe destruction of acinar architecture, mirroring the pathology seen in our patient cohort (<xref ref-type="fig" rid="f5"><bold>Figure&#xa0;5C</bold></xref>).</p>
<fig id="f5" position="float">
<label>Figure&#xa0;5</label>
<caption>
<p>IA preclinical model recapitulates the clinical phenotype and reveals a therapeutic role for IL-17A blockade. <bold>(A, B)</bold> Representative flow cytometry plots illustrating the gating strategy for immunophenotyping of infiltrating leukocytes from dissociated salivary gland tissues. Live, single cells were first isolated, followed by the identification of CD45<sup>+</sup> cells (leukocytes). Within this CD45<sup>+</sup> population, T cells were defined as CD3<sup>+</sup> and B cells as CD19<sup>+</sup>. T cells were further resolved into CD4<sup>+</sup> and CD8<sup>+</sup> subsets. Bar graphs show the percentages of T cells and B cells (within the CD45<sup>+</sup> gate), as well as CD4<sup>+</sup> and CD8<sup>+</sup> T cells (within the CD3<sup>+</sup> T-cell gate). <bold>(C)</bold> Representative Hematoxylin and Eosin (H&amp;E) stained sections of submandibular glands (SMGs) from a control mouse and a mouse treated with an anti-PD-1 antibody. Scale bars, 100 &#xb5;m. <bold>(D)</bold> Quantitative RT-PCR analysis of IL-17 mRNA expression in SMG tissue from three experimental groups: Control, anti-PD-1 + Isotype control, and anti-PD-1 + anti-IL-17A antibody. Data were normalized to the expression of the housekeeping gene Gapdh and are presented as fold change relative to the Control group. <bold>(E)</bold> Measurement of pilocarpine-stimulated salivary flow rates from the three indicated treatment groups. Saliva was collected over a defined time interval, and its total weight was measured. Data are presented as flow rate in milligrams per minute (mg/10min). Statistical significance was determined using Student&#x2019;s t-test or Mann-Whitney U test. *p &lt; 0.05, **p &lt; 0.01, ***p &lt; 0.001.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-17-1755419-g005.tif">
<alt-text content-type="machine-generated">Panel A displays flow cytometry plots comparing lymphocyte populations by cell surface markers between untreated and treated groups. Panel B presents five bar graphs quantifying lymphocytes, CD19+, CD3+, CD4+, and CD8+ cells as percentages, with statistical significance indicated for lymphocytes, CD3+, and CD4+ cells. Panel C shows two microscopy images of tissue sections contrasting untreated and treated samples. Panel D features a bar graph quantifying relative mRNA expression of IL-17, showing changes across three groups. Panel E provides a bar graph of saliva flow rate, with significant differences among the PBS, anti PD-1, and anti PD-1 plus anti IL-17 treated groups.</alt-text>
</graphic></fig>
<p>Given the CD4<sup>+</sup> T cell dominance, we hypothesized that IL-17A plays a key role in this process. Indeed, anti-PD-1 treatment led to a robust upregulation of Il17a gene expression in the SMGs (<xref ref-type="fig" rid="f5"><bold>Figure&#xa0;5D</bold></xref>) and a concomitant, significant reduction in salivary flow (<xref ref-type="fig" rid="f5"><bold>Figure&#xa0;5E</bold></xref>). To test the functional relevance of this pathway, we administered a neutralizing anti-IL-17A antibody. This intervention not only attenuated the upregulation of IL-17A in the gland tissue but also led to a significant recovery of saliva production compared to the anti-PD-1 group (<xref ref-type="fig" rid="f5"><bold>Figures&#xa0;5D, E</bold></xref>). Taken together, these data establish a causal link between PD-1 blockade, IL-17-mediated immunopathology, and salivary gland dysfunction, highlighting the IL-17 axis as a promising therapeutic target to ameliorate this immune-related adverse event.</p>
<p>In conclusion, these findings demonstrate a selective expansion of Th17 cells accompanied by enhanced IL-17A production, implicating this pathway as a key mediator of ICI-induced salivary gland inflammation.</p>
</sec>
</sec>
<sec id="s3" sec-type="discussion">
<label>3</label>
<title>Discussion</title>
<p>This study provides a comprehensive characterization of ICI-induced sialadenitis, bridging clinical observations with a preclinical model that not only recapitulates the human immunopathology but also validates a key molecular driver as a druggable therapeutic target. Our results indicate that activation of the Th17/IL-17 signaling axis may serve as a pathogenic mechanism that underlies this condition. Collectively, these findings support the view that ICI-induced sialadenitis should be viewed as a distinct pathological entity, rather than merely a subtype of SjS.</p>
<p>We documented significant reductions in salivary and lacrimal secretion after ICI treatment, measured by UWSF/SWSF and Schirmer&#x2019;s tests. Nearly all patients developed hyposalivation, consistent with previous reports showing 96% incidence of xerostomia following PD-1/PD-L1 inhibitor treatment (<xref ref-type="bibr" rid="B32">32</xref>). Surprisingly, however, the MSGS scale (<xref ref-type="bibr" rid="B30">30</xref>) assessment showed no significant deficits. This may be attributed to the patients&#x2019; prior awareness of side effects and their tumor-bearing status, which might have led to reduced attention to xerostomia symptoms. Furthermore, histopathological analysis revealed distinctive glandular damage patterns, characterized by acinar and ductal destruction, immune cell infiltration, and fibrosis in ICI-treated specimens. To uncover the mechanism to the damage of gland tissue, we further analyze the compartment of immune infiltration. ICI-induced sialadenitis exhibited a distinctive CD4<sup>+</sup> T cell-dominant, B cell-quiescent immune profile, consistent with the mechanism of ICIs in reversing T-cell exhaustion (<xref ref-type="bibr" rid="B33">33</xref>). Consistent with our results, Warner et&#xa0;al. and Pringle, et&#xa0;al. found that salivary gland biopsies showed mainly T-cell infiltration, with CD4<sup>+</sup> cells slightly exceeding CD8<sup>+</sup>, and only sparse CD20<sup>+</sup> B cells (<xref ref-type="bibr" rid="B16">16</xref>) (<xref ref-type="bibr" rid="B34">34</xref>). This immunophenotype differs from SjS, which is characterized by B-cell hyperactivity (<xref ref-type="bibr" rid="B24">24</xref>), germinal center formation, and autoantibody production (<xref ref-type="bibr" rid="B35">35</xref>), as well as with IgG4-related disease, which is defined by dense IgG4<sup>+</sup> plasma cell infiltration and storiform fibrosis (<xref ref-type="bibr" rid="B36">36</xref>, <xref ref-type="bibr" rid="B37">37</xref>). However, some studies have reported contrasting findings. A recent study by Borys et&#xa0;al. in a murine model of ICI therapy reported an abundance of highly activated CD8<sup>+</sup> T cells rather than CD4<sup>+</sup> T cells in the submandibular gland (<xref ref-type="bibr" rid="B38">38</xref>). The differences may reflect variations in ethnic background (<xref ref-type="bibr" rid="B39">39</xref>), ICI drug type (<xref ref-type="bibr" rid="B40">40</xref>), induction models (<xref ref-type="bibr" rid="B41">41</xref>&#x2013;<xref ref-type="bibr" rid="B44">44</xref>), target organs (<xref ref-type="bibr" rid="B45">45</xref>&#x2013;<xref ref-type="bibr" rid="B48">48</xref>) or individual susceptibility (<xref ref-type="bibr" rid="B49">49</xref>&#x2013;<xref ref-type="bibr" rid="B51">51</xref>). Collectively, our findings provide both clinical evidence of ICI-induced exocrine dysfunction and establish distinct pathological criteria for differential diagnosis of ICI-induced sialadenitis. We postulated that in the context of ICI-mediated disruption of peripheral tolerance, salivary gland damage follows a pathogenic cascade driven by the Th17/IL-17 axis. By reversing T-cell exhaustion and restoring cytotoxic function, proliferation, and cytokine production, ICIs effectively remodel the immunosuppressive tumor microenvironment (TME) and enhance endogenous anti-tumor immunity (<xref ref-type="bibr" rid="B33">33</xref>, <xref ref-type="bibr" rid="B52">52</xref>). However, this systemic immune activation can inadvertently disrupt immune tolerance in healthy tissues (<xref ref-type="bibr" rid="B48">48</xref>). Although clinical (<xref ref-type="bibr" rid="B44">44</xref>, <xref ref-type="bibr" rid="B48">48</xref>, <xref ref-type="bibr" rid="B53">53</xref>) and preclinical studies (<xref ref-type="bibr" rid="B41">41</xref>&#x2013;<xref ref-type="bibr" rid="B43">43</xref>) have established that T-cell activation is a hallmark of ICI-related adverse events (<xref ref-type="bibr" rid="B47">47</xref>), the specific T-cell subsets involved in mediating tissue-specific immune injury remain largely undefined (<xref ref-type="bibr" rid="B54">54</xref>, <xref ref-type="bibr" rid="B55">55</xref>) (<xref ref-type="bibr" rid="B56">56</xref>). A key finding of our study is that this activation appears not to be random but instead skews na&#xef;ve T cells toward the Th17 lineage. Prior research has shown that several irAEs, including colitis and dermatitis, are driven by T-cell activation and augmented Th1/Th17 responses (<xref ref-type="bibr" rid="B57">57</xref>&#x2013;<xref ref-type="bibr" rid="B59">59</xref>) (<xref ref-type="bibr" rid="B56">56</xref>). However, we found that weak PD-1 immunoreactivity and lack of PD-L1 expression in the salivary glands indicate that these tissues may not be direct targets of ICI therapy. Together with our results, we hypothesize a possible sequential pathogenic process: ICI treatment first triggers immune activation at primary tumor sites, followed by migration of activated lymphocytes to the salivary glands through epitope spreading mechanisms. This &#x201c;off-target&#x201d; immune response may explain how ICI therapy leads to sialadenitis as a secondary manifestation of systemic immune activation. Within the salivary gland, expanded Th17 cells release their hallmark cytokine IL-17A (<xref ref-type="bibr" rid="B60">60</xref>) (<xref ref-type="bibr" rid="B61">61</xref>), thereby initiating a cascade of downstream tissue-destructive events. First, IL-17A promotes periductal lymphocytic aggregation (<xref ref-type="bibr" rid="B62">62</xref>), resembling early tertiary lymphoid structures (<xref ref-type="bibr" rid="B63">63</xref>&#x2013;<xref ref-type="bibr" rid="B65">65</xref>), by upregulating adhesion molecules (<xref ref-type="bibr" rid="B66">66</xref>) and chemokines (CXCL13, CCL19, CCL21) (<xref ref-type="bibr" rid="B67">67</xref>), thereby recruiting and retaining immune cells within an inflammatory milieu enriched in TNF-&#x3b1; (<xref ref-type="bibr" rid="B68">68</xref>), IL-1&#x3b2;, and IL-6 (<xref ref-type="bibr" rid="B69">69</xref>). Second, it drives progressive fibrosis by activating fibroblasts (<xref ref-type="bibr" rid="B70">70</xref>) and inducing epithelial&#x2013;mesenchymal transition (<xref ref-type="bibr" rid="B71">71</xref>&#x2013;<xref ref-type="bibr" rid="B73">73</xref>) in ductal cells, leading to the generation of myofibroblasts that produce excess extracellular matrix and increase TIMPs expression (<xref ref-type="bibr" rid="B74">74</xref>), resulting in collagen accumulation and dense periductal fibrosis (<xref ref-type="bibr" rid="B75">75</xref>) that replaces functional parenchyma and obstructs residual ducts and acini (<xref ref-type="bibr" rid="B76">76</xref>&#x2013;<xref ref-type="bibr" rid="B78">78</xref>). Finally, IL-17A exerts direct and indirect damage on epithelial cells (<xref ref-type="bibr" rid="B77">77</xref>, <xref ref-type="bibr" rid="B78">78</xref>), culminating in a selective destruction of acini while ductal structures are preserved (<xref ref-type="bibr" rid="B79">79</xref>), which explains the severe reduction of unstimulated salivary flow predominantly dependent on acinar function. We propose that this selectivity is driven by a combination of factors: the preferential targeting of acinar cells by the immune system, their limited regenerative capacity relative to ductal progenitors (<xref ref-type="bibr" rid="B80">80</xref>), and their intrinsic vulnerability as high-metabolism secretory cells. (<xref ref-type="bibr" rid="B81">81</xref>, <xref ref-type="bibr" rid="B82">82</xref>)To our knowledge, this is the first study to specifically target major salivary gland biopsy, whereas most previous research has mainly focused on a minor salivary gland biopsy (<xref ref-type="bibr" rid="B18">18</xref>, <xref ref-type="bibr" rid="B25">25</xref>). Considering that the major salivary glands are responsible for approximately 99% of the total daily salivary output (<xref ref-type="bibr" rid="B83">83</xref>), their functional and pathological alterations are likely to have a much greater impact on oral homeostasis (<xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B15">15</xref>, <xref ref-type="bibr" rid="B84">84</xref>). Therefore, elucidating the changes occurring in the major salivary glands following ICI therapy is of particular importance for understanding the pathogenesis of ICI-associated sicca manifestations and for guiding potential therapeutic strategies. In addition to qualitative immunohistochemistry (IHC) analysis, we quantitatively assessed immune cell proportions, which demonstrated the predominance of Th17 cells in ICI-treated salivary glands. These findings offer a rationale for exploring targeted cytokine therapies as a potential approach to mitigate irAEs. For instance, anti-IL-17A antibodies, such as eculizumab, have been successfully employed to treat other Th17-driven irAEs, including arthritis (<xref ref-type="bibr" rid="B48">48</xref>) and dermatitis (<xref ref-type="bibr" rid="B85">85</xref>). Furthermore, in murine models of ICI therapy, antibodies targeting IL-25 (IL-17E) or the IL-17 receptor (IL-17RA) have been shown to inhibit the development of pneumonitis and hepatitis while exhibiting additional anti-tumor activity (<xref ref-type="bibr" rid="B42">42</xref>, <xref ref-type="bibr" rid="B86">86</xref>, <xref ref-type="bibr" rid="B87">87</xref>). To validate our clinical findings, we successfully established a preclinical murine model of HNSCC undergoing anti-PD-1 therapy. These mice developed sialadenitis characterized by histopathological changes and lymphocytic infiltration in the submandibular glands that mirrored those observed in our patient cohort. Critically, therapeutic blockade of IL-17A in this model led to a significant restoration of salivary flow, providing direct evidence for the pathogenic role of the IL-17 axis and its potential as a therapeutic target. Our research uncovers the potential for such agents as effective treatments, and potentially preventing severe immunotherapy-induced sialadenitis, thereby significantly improving patient quality of life without compromising anti-tumor efficacy.</p>
<p>Some limitations of this study should be acknowledged. First, the sample size was relatively small and our findings require validation in larger multicenter cohorts. The lack of serological testing did not allow us to fully understand systemic changes in ICIs treated patients, which might have provided a better understanding of similarities and differences between SjS and ICI-induced sialadenitis. Second, although we have established the central role of the Th17/IL-17 axis, upstream signals, such as why T cells preferentially polarize toward the Th17 lineage within the salivary gland, remain to be elucidated. Finally, our primary focus was alleviating sialadenitis, and we did not assess the potential interference of IL-17 blockade with ongoing anti-tumor immunotherapy. Given the pleiotropic nature of IL-17 in cancer, decoupling irAE management from anti-tumor efficacy presents a significant translational hurdle. Future research is strictly required to define a therapeutic window that alleviates sialadenitis without compromising tumor control.</p>
</sec>
<sec id="s4" sec-type="conclusions">
<label>4</label>
<title>Conclusion</title>
<p>By integrating direct analysis of human specimens with a functionally validated preclinical model, this study establishes the Th17/IL-17 axis as a causal pathogenic driver of immunotherapy-induced sialadenitis. These findings provide a strong rationale for refining diagnostic criteria and, more importantly, offer the first preclinical proof-of-concept for a targeted therapeutic strategy to manage this condition.</p>
</sec>
<sec id="s5" sec-type="materials|methods">
<label>5</label>
<title>Material and methods</title>
<sec id="s5_1">
<label>5.1</label>
<title>Study participants</title>
<p>We prospectively enrolled patients 18 years or older with a confirmed diagnosis of HNSCC who were treated with pembrolizumab and/or nivolumab at our institution between 2023 and 2025. Exclusion criteria included (1): concomitant radiotherapy (2); a history of specific chronic sialadenitis, such as SjS or IgG4-related disease; and (3) concurrent use of medications known to significantly affect salivary or lacrimal function. The institutional ethics committee approved the study protocol and all amendments of the Hospital of Stomatology of Sun Yat-sen University, China (Grant Number: ERC- [2015]-29) in accordance with the Declaration of Helsinki. Written informed consent was obtained from the patients for the publication of any potentially identifiable images or data included in this article.</p>
</sec>
<sec id="s5_2">
<label>5.2</label>
<title>Salivary gland tissue collection and processing</title>
<p>Salivary gland tissue samples were obtained intraoperatively from patients who underwent cervical lymph node dissection as part of their surgical treatment. Immediately after excision, each fresh specimen was divided. One portion was placed in ice-cold RPMI 1640 medium and transported on ice for subsequent experiments. Another portion was fixed in 4% paraformaldehyde for 24&#x2013;48 h at 4&#xb0;C, followed by standard processing for dehydration and paraffin embedding. The resulting paraffin-embedded blocks were sectioned into 4 &#x3bc;m-thick slices, which were then mounted on glass slides for subsequent analysis. A third portion was snap-frozen in liquid nitrogen and stored at -80&#xb0;C for future molecular analyses.</p>
</sec>
<sec id="s5_3">
<label>5.3</label>
<title>Clinical assessments of salivary and lacrimal function</title>
<p>All functional assessments were performed at the beginning of the study (before ICI treatment) and at designated follow-up time points. To minimize diurnal variations, saliva samples were collected between 9:00 a.m. and 11:00 a.m. Patients were instructed to fast for at least one hour prior to collection. The flow rate of unstimulated whole saliva (UWS) was measured using the passive drool method over a 15-min period in a pre-weighed sterile tube. Subsequently, the flow rate of the stimulated whole saliva (SWS) was assessed for 15 min, and salivary secretion was stimulated by applying 3% citric acid to the tongue tip every 3 min. Both UWS and SWS flow rates were calculated and expressed in mL/min. Lacrimal secretion was quantified using the standard Schirmer&#x2019;s test. A sterile filter paper strip was placed in the lower conjunctival fornix of each eye for 5 min. The length of the moistened portion of the strip was measured in millimeters (mm).</p>
</sec>
<sec id="s5_4">
<label>5.4</label>
<title>Histological staining</title>
<p>Before staining, paraffin-embedded sections (4 &#x3bc;m) were deparaffinized and rehydrated. Briefly, slides were baked at 65&#xb0;C for 15 min, immersed in xylene, and then passed through a gradient of ethanol. (100%, 95%, 80%, 70%) to distilled water. H&amp;E staining was performed using a commercial kit (Solarbio, Cat# G1120), following the manufacturer&#x2019;s instructions. Masson&#x2019;s trichrome staining was conducted similarly (Solarbio, Cat# G1340). Following staining, all sections were dehydrated through a graded ethanol series, cleared in xylene, and cover slipped with a neutral mounting medium. H&amp;E-stained sections were used for histopathological assessment. The severity of lymphocytic infiltration in salivary glands was graded according to the Chisholm and Mason scoring system as follows: Grade 0: no inflammatory infiltrate; Grade 1: mild, diffuse lymphocytic/plasmocytic infiltrate; Grade 2: moderate infiltrate or less than one focus; Grade 3: one focus; Grade 4: more than one focus. A &#x201c;focus&#x201d; was defined as an aggregate of at least 50 mononuclear cells per 4 mm&#xb2; of tissue. For morphometric analysis, whole-slide images (WSIs) were acquired using a digital slide scanner. Quantitative analysis was then performed on non-overlapping, randomly selected fields from each WSI using ImageJ software (NIH, USA).</p>
</sec>
<sec id="s5_5">
<label>5.5</label>
<title>Immunohistochemistry and immunofluorescence staining</title>
<p>Before staining, paraffin-embedded sections were deparaffinized in xylene and rehydrated through a graded ethanol series. Heat-induced epitope retrieval (HIER) was performed by incubating sections in sodium citrate buffer (10 mM, pH 6.0) in a pressure cooker for 5 min, followed by natural cooling to room temperature. Following antigen retrieval, endogenous peroxidase activity was quenched by incubating sections in 3% H<sub>2</sub>O<sub>2</sub> for 15 min. After blocking non-specific binding, sections were incubated overnight at 4&#xb0;C with the following primary antibodies: anti-AQP5(abcam ab315855), anti-CK7(abcam ab181598), anti-CD19(HUABIO ET1702-93), anti-CD3(Proteintech 17617), anti-CD4(ZSGB-BIO ZM0418), anti-CD8(ZSGB-BIO ZA0508), anti-CD68(CST 76437), anti-CD16(CST 24326),anti-PD-1(CST 86163),anti-PD-L1(CST 13684), and anti-IL-17A(abcam ab79056). The next day, sections were incubated with a horseradish peroxidase (HRP)-conjugated secondary antibody. The signal was visualized using a DAB (3,3&#x2019;-diaminobenzidine) substrate kit. Finally, sections were counterstained with hematoxylin, dehydrated through a graded ethanol series, cleared in xylene, and cover slipped with a neutral mounting medium. For immunofluorescence staining, sections were blocked with 5% bovine serum albumin (BSA) for 60 min at room temperature. Sections were then incubated overnight at 4&#xb0;C with the desired primary antibodies. After washing with PBST (PBS containing 0.1% Tween-20), sections were incubated with an Alexa Fluor 594-conjugated secondary antibody (1:1000) for 1 h in a dark, humidified chamber. Nuclei were counterstained with Hoechst. Slides were then mounted using an anti-fade mounting medium. Multiplex immunofluorescence staining was performed on 4-um FFPE sections using a commercial kit (Boster, Wuhan, China, Cat# PTSA-45) according to the manufacturer&#x2019;s instructions. IHC-stained slides were digitized using a whole-slide scanner (Leica, Germany). Immunofluorescence images were captured using an Olympus motorized fluorescence microscope. Quantitative analysis was performed using ImageJ software (NIH, USA). For each marker, the extent of positive staining was quantified by calculating the percentage of the positively stained area relative to the total tissue area within each analyzed field.</p>
</sec>
<sec id="s5_6">
<label>5.6</label>
<title>Western blotting</title>
<p>Total protein was extracted from SG tissue using RIPA lysis buffer supplemented with a phosphatase and protease inhibitor cocktail. The lysates were cleared by centrifugation at 12,000 &#xd7;<italic>g</italic> for 15 min at 4&#xb0;C, and the resulting supernatants were collected. The protein concentration was determined using a BCA Protein Assay Kit (Thermo Fisher Scientific).</p>
<p>For electrophoresis, equal amounts of protein (20 &#xb5;g per lane) were resolved by SDS-PAGE and subsequently transferred to polyvinylidene difluoride membranes (PVDF) (Millipore, Billerica, MA, USA). Following transfer, the membranes were blocked with 5% non-fat dry milk in Tris-buffered saline containing 0.1% Tween-20 (TBST) for 1 h at room temperature. Membranes were then cut according to the expected molecular weights of the target proteins. The cropped membranes were incubated overnight at 4&#xb0;C with specific primary antibodies: anti-AQP5, anti-CK7, anti-&#x3b2;-actin(Proteintech 66009). After washing with TBST, the membranes were incubated with appropriate HRP-conjugated secondary antibodies for 1 h at room temperature. Protein bands were visualized using an enhanced chemiluminescence (ECL) substrate (SuperSignal West Pico, Thermo Fisher Scientific) and imaged using a LI-COR Odyssey Clx Imaging System.</p>
</sec>
<sec id="s5_7">
<label>5.7</label>
<title>RNA extraction and quantitative real-time pcr</title>
<p>Total RNA was extracted from SG tissue samples using the FastPure<sup>&#xae;</sup> Cell/Tissue Total RNA Isolation Kit V2 (Vazyme, Nanjing, China) according to the manufacturer&#x2019;s protocol. The concentration and purity of the extracted RNA were determined using a spectrophotometer. First-strand cDNA was synthesized from total RNA using the HiScript<sup>&#xae;</sup> III Reverse Transcriptase kit (Vazyme). RT-qPCR was performed using ChamQ Universal SYBR qPCR Master Mix&#xb9; (Vazyme) on a QuantStudio&#x2122; 7 Flex Real-Time PCR System (Thermo Fisher Scientific, USA). The thermal cycling conditions were as follows: initial denaturation at 95&#xb0;C for 5 min, followed by 40 cycles of 95&#xb0;C for 15 s and 60&#xb0;C for 60 s. A melt curve analysis was performed at the end of each run to confirm the specificity of the amplified products. The primers used for this study were: for human samples IL-17 5&#x2032;-CTCTGTGATCTGGGAGGCAAA-3&#x2032; 5&#x2032;- CTCTTGCTGGATGGGGACA-3&#x2032;, IL-4 5&#x2032;-CCAACTGCTTCCCCCTCTG-3&#x2032; 5&#x2032;-TCTGTTACGGTCAACTCGGTG-3&#x2032;, IL-10 5&#x2032;-TCTCCGAGATGCCTTCAGCAGA-3&#x2032; 5&#x2032;- TCAGACAAGGCTTGGCAACCCA-3&#x2032;, IFN-Y 5&#x2019;-TCGGTAACTGACTTGAATGTCCA-3&#x2019; 5&#x2019;- TCGCTTCCCTGTTTTAGCTGC-3&#x2019;, TGF-b 5&#x2019;-GGCCAGATCCTGTCCAAGC-3&#x2019; 5&#x2019;- GTGGGTTTCCACCATTAGCAC-3&#x2019;, GAPDH 5&#x2032;- GGAGCGAGATCCCTCCAAAAT-3&#x2032;, and 5&#x2032;- GGCTGTTGTCATACTTCTCATGG-3&#x2032;. For mouse samples IL-17 5&#x2032;- AAGCTGGACCACCACATGAA-3&#x2032; 5&#x2032;- CCCTGAAAGTGAAGGGGCAG-3&#x2032;, GAPDH 5&#x2032;- AACTTTGGCATTGTGGAAGGG-3&#x2032;, and 5&#x2032;- GACACATTGGGGGTAGGAACA-3&#x2032;.The relative expression levels of target genes were normalized to the endogenous control, GAPDH. The fold change in gene expression was calculated using the comparative Ct (2<sup>-&#x394;&#x394;Ct</sup>) method.</p>
</sec>
<sec id="s5_8">
<label>5.8</label>
<title>Enzyme-linked immunosorbent assay</title>
<p>The method for preparing proteins from salivary gland samples was the same as that described above. IL-17A concentration was quantified using a commercially available Human IL-17A ELISA kit (feiyue, FY-EH4665) following the manufacturer&#x2019;s protocol. Briefly, absorbance was measured at 450 nm using a microplate reader (Biotek, USA). The concentration of IL-17A in each sample was calculated from a standard curve generated with recombinant IL-17A standards. The final results were normalized to the total protein content and are expressed as picograms of IL-17A per milligram of total protein (pg/mg).</p>
</sec>
<sec id="s5_9">
<label>5.9</label>
<title>ICIs tumor models</title>
<p>SCCVII cells were maintained in DMEM/F12 medium with 10% fetal bovine serum and 0.4% penicillin-streptomycin solution, which we obtained from the Peking University School and Hospital of Stomatology as a gift. To obtain SCCVII, a murine squamous cell carcinoma derived from immunocompetent mice C3H/HeN (C3H), we purchased female C3H mice (4&#x2013;6 weeks of age) from Beijing Vital River Laboratory Animal Technology Co., Ltd and fed them under specific pathogen-free conditions at the Laboratory Animal Center of Sun Yat-sen University. SCCVII cells were used for tumor inoculation when they reached the exponential growth phase. For tumor models, 100 &#x3bc;L of FBS-free DMEM/F12 containing 5&#xd7;10<sup>5</sup> cells were injected into the shaved right flanks of C3H mice subcutaneously. When the tumor volume reached 50 mm<sup>3</sup>, tumor models were treated with PBS (untreated group) or antimouse-PD-1 (treated group)(Selleck,Houston,USA, clone:RMP1-14). These treatments were administered on days 7, 9, and 11 with the same dose, 200 &#x3bc;g/mouse i.p. All animal experiments were conducted in strict accordance with protocols approved by the Institutional Animal Care and Use Committee of Sun Yat-sen University (SYSU-IACUC-2025-002999).</p>
</sec>
<sec id="s5_10">
<label>5.10</label>
<title><italic>In Vivo</italic> anti-IL-17 treatment and tissue collection</title>
<p>On day 12 post-tumor inoculation, mice bearing established tumors were randomized into treatment groups. The treatment group received an antimouse-IL-17A neutralizing antibody (Selleck,Houston,USA, clone:17F3, dose: 100 &#x3bc;g/mouse), while the control group received a corresponding isotype control antibody (Selleck,Houston,USA, clone:MOPC-21, dose: 100 &#x3bc;g/mouse). The treatment regimen consisted of three intraperitoneal (i.p.) injections administered at 3-day intervals.</p>
<p>At the study endpoint on day 33, saliva flow rate was measured. Mice were first anesthetized with an i.p. injection of sodium pentobarbital (50 mg/kg) and placed in a prone position. Salivation was then stimulated with pilocarpine hydrochloride (2 mg/kg). Following a 10-minute latency period, whole stimulated saliva was collected from the oral cavity for 10 minutes using pre-weighed cotton balls. Saliva volume was determined by the change in weight. At the designated experimental endpoints, mice were humanely euthanized. Specifically, euthanasia was induced by an intraperitoneal (i.p.) injection of an overdose of sodium pentobarbital (150 mg/kg), followed by cervical dislocation as a secondary physical method to ensure irreversible death. The submandibular glands were promptly harvested, with one lobe fixed in 4% paraformaldehyde for histological analysis and the other lobe snap-frozen in liquid nitrogen for molecular analysis. All animal carcasses were disposed of according to institutional biohazardous waste guidelines.</p>
</sec>
<sec id="s5_11">
<label>5.11</label>
<title>Flow cytometry analysis</title>
<p>For clinical samples, single-cell suspensions were prepared from fresh SG tissue. Briefly, tissues were mechanically minced and then enzymatically digested in a solution containing collagenase II (2 mg/mL; Worthington) and DNase I (4 mg/mL; Worthington) for 60 min at 37&#xb0;C with continuous agitation. The resulting cell suspension was filtered through a 70-&#x3bc;m cell strainer to remove undigested tissue. Following centrifugation (400 &#xd7;<italic>g</italic>, 5 min), red blood cells were lysed by incubating the cell pellet with RBC Lysis Buffer for 1&#x2013;2 min. The reaction was stopped with excess FACS buffer (PBS containing 2% FBS), and the cells were washed twice before being counted and resuspended for staining. For staining, cells were first incubated with Zombie Violet&#x2122; Fixable Viability Kit (BioLegend) for 15 min to enable discrimination of live and dead cells. After washing, non-specific antibody binding was blocked by incubating cells with a human Fc receptor blocking reagent (e.g., Human TruStain FcX&#x2122;, BioLegend) for 20 min. Subsequently, cells were stained with a cocktail of the following fluorochrome-conjugated surface antibodies&#xb9; for 30 min at 4&#xb0;C in the dark: FITC anti-human CD45, Brilliant Violet 510&#x2122; anti-human CD3, Brilliant Violet 605&#x2122; anti-human CD19,Brilliant Violet 650&#x2122; anti-human CXCR3,PE anti-human CD25, PE-Cy7 anti-human CCR6, APC-Cy7 anti-human CD4, and Red Fluor 710 anti-human CD8. For intracellular staining of the transcription factor Foxp3, cells were fixed and permeabilized using a Foxp3/Transcription Factor Staining Buffer Set (eBioscience) according to the manufacturer&#x2019;s protocol. Cells were then stained with PE-Cy7 anti-human Foxp3 (eBioscience).</p>
<p>For tumor-model mice, the bilateral submandibular glands of each mouse were separated, cut into small pieces, and digested in a solution containing collagenase II (2 mg/mL; Worthington) and DNase I (4 mg/mL; Worthington) for 60 min at 37&#xb0;C with continuous agitation. A single-cell suspension was obtained by grinding tissue blocks, from which we selected live cells after incubation with Zombie dye at 4&#xb0;C for 20 min. After centrifugation (400 &#xd7;<italic>g</italic>, 5 min), the cells were washed with buffer and blocked with antimouse CD16/32 at 4&#xb0;C for 30 min. Subsequently, the cells were incubated with surface-staining fluorescent antibodies (PerCP anti-mouse CD45, PE-CY7 anti-mouse CD3, AF700 anti-mouse CD4, PE anti-mouse CD8a, APC anti-mouse CD19) at 4&#xb0;C for 20 min.</p>
<p>Data were acquired on a BD LSRFortessa&#x2122; flow cytometer (BD Biosciences). Compensation and data analysis were performed using FlowJo&#x2122; software (v10, BD Life Sciences).</p>
</sec>
<sec id="s5_12">
<label>5.12</label>
<title>Statistical analysis</title>
<p>All quantitative data are presented as the mean &#xb1; standard error of the mean (SEM). Statistical analyses were performed with GraphPad Prism software (v.9.0, GraphPad Software, La Jolla, CA, USA). Comparisons between two independent groups were conducted using an unpaired two-tailed Student&#x2019;s t-test. For comparisons among three or more groups, one-way analysis of variance (ANOVA) followed by an appropriate <italic>post hoc</italic> test (e.g., Tukey&#x2019;s) was employed. To assess the relationship between two continuous variables between CD4<sup>+</sup> cells,CD8<sup>+</sup> cells and AQP5<sup>+</sup> Cells, correlation analysis was performed. Pearson correlation coefficient (r) was calculated for normally distributed data, while Spearman rank correlation coefficient (&#x3c1;) was used for non-normally distributed data. A <italic>P</italic>-value less than 0.05 was considered statistically significant.</p>
</sec>
</sec>
</body>
<back>
<sec id="s6" sec-type="data-availability">
<title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/<xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Material</bold></xref>. Further inquiries can be directed to the corresponding authors.</p></sec>
<sec id="s7" sec-type="ethics-statement">
<title>Ethics statement</title>
<p>The studies involving humans were approved by ethics committee of hospital of Stomatology, sun yat-sen university. 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. The animal study was approved by institutional animal care and use committee, sun Yat-sen university. The study was conducted in accordance with the local legislation and institutional requirements.</p></sec>
<sec id="s8" sec-type="author-contributions">
<title>Author contributions</title>
<p>SS: Data curation, Formal analysis, Investigation, Writing &#x2013; original draft. ZL: Data curation, Formal analysis, Writing &#x2013; original draft. RY: Data curation, Writing &#x2013; original draft. SY: Writing &#x2013; original draft, Investigation. PL: Investigation, Writing &#x2013; review &amp; editing. YY: Writing &#x2013; review &amp; editing, Formal analysis. LY: Writing &#x2013; review &amp; editing, Investigation. GL: Investigation, Writing &#x2013; review &amp; editing. YW: Investigation, Writing &#x2013; review &amp; editing, Resources. SZ: Investigation, Resources, Writing &#x2013; review &amp; editing.</p></sec>
<sec id="s10" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>The author(s) declared that this work was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p></sec>
<sec id="s11" sec-type="ai-statement">
<title>Generative AI statement</title>
<p>The author(s) declared that generative AI was not used in the creation of this manuscript.</p>
<p>Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.</p></sec>
<sec id="s12" sec-type="disclaimer">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p></sec>
<sec id="s13" sec-type="supplementary-material">
<title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fimmu.2026.1755419/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fimmu.2026.1755419/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="Supplementaryfile1.pdf" id="SM1" mimetype="application/pdf"/></sec>
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<fn id="n1" fn-type="custom" custom-type="edited-by">
<p>Edited by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1661038">Xiaohong Chen</ext-link>, Capital Medical University, China</p></fn>
<fn id="n2" fn-type="custom" custom-type="reviewed-by">
<p>Reviewed by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/2216770">Ramireddy Bommireddy</ext-link>, Emory University, United States</p>
<p><ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/743762">Ana Caroline Costa Da Silva</ext-link>, National Institutes of Health (NIH), United States</p></fn>
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<fn-group>
<fn fn-type="abbr" id="abbrev1">
<label>Abbreviations:</label>
<p>AM, Aure MH; ANOVA, Analysis of variance; BSA, Bovine serum albumin; ELISA, Enzyme-Linked Immunosorbent Assay; EMT, Epithelial-Mesenchymal Transition; H&amp;E, Hematoxylin and Eosin; HIER, Heat-induced epitope retrieval; HNSCC, Head and Neck Squamous Cell Carcinoma; ICI, Immune checkpoint inhibitors; MSGS, Multidisciplinary Salivary Gland Society; SEM, Standard error of the mean; SWS, Stimulated whole saliva; SWSF, Stimulated Whole Salivary Flow; UWS, Unstimulated whole saliva; WSI, Whole-slide images.</p>
</fn>
</fn-group>
</back>
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