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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>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
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<article-meta>
<article-id pub-id-type="doi">10.3389/fimmu.2026.1766930</article-id>
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<article-categories>
<subj-group subj-group-type="heading">
<subject>Original Research</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>TIGIT impairs NK cell antifibrotic activity through the IFN&#x3b3;&#x2013;IFI30 axis in schistosomiasis-induced liver fibrosis</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Peng</surname><given-names>Hui</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
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<contrib contrib-type="author">
<name><surname>Zhang</surname><given-names>Jing</given-names></name>
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<contrib contrib-type="author">
<name><surname>Zhang</surname><given-names>Xiaocheng</given-names></name>
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<contrib contrib-type="author">
<name><surname>Zhou</surname><given-names>Hao</given-names></name>
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<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
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<contrib contrib-type="author">
<name><surname>Cui</surname><given-names>Lijun</given-names></name>
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<contrib contrib-type="author">
<name><surname>Xu</surname><given-names>Fangfang</given-names></name>
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<name><surname>Jiang</surname><given-names>Tingting</given-names></name>
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<contrib contrib-type="author">
<name><surname>Yin</surname><given-names>Jianhai</given-names></name>
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<contrib contrib-type="author">
<name><surname>Hu</surname><given-names>Yuan</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
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<contrib contrib-type="author">
<name><surname>Shen</surname><given-names>Yujuan</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>Lu</surname><given-names>Shaohong</given-names></name>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>*</sup></xref>
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<contrib contrib-type="author" corresp="yes">
<name><surname>Cao</surname><given-names>Jianping</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<xref ref-type="aff" rid="aff5"><sup>5</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>*</sup></xref>
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<aff id="aff1"><label>1</label><institution>National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute of Parasitic Diseases at Chinese Center for Disease Control and Prevention (Chinese Center for Tropical Diseases Research)</institution>, <city>Shanghai</city>,&#xa0;<country country="cn">China</country></aff>
<aff id="aff2"><label>2</label><institution>Key Laboratory of Parasite and Vector Biology, National Health Commission of the People&#x2019;s Republic of China</institution>, <city>Shanghai</city>,&#xa0;<country country="cn">China</country></aff>
<aff id="aff3"><label>3</label><institution>World Health Organization Collaborating Centre for Tropical Diseases</institution>, <city>Shanghai</city>,&#xa0;<country country="cn">China</country></aff>
<aff id="aff4"><label>4</label><institution>Engineering Research Center of Novel Vaccine of Zhejiang Province, Zhejiang Provincial Key Laboratory of High-level Biosafety and Biomedical Transformation, Hangzhou Medical College</institution>, <city>Hangzhou</city>,&#xa0;<country country="cn">China</country></aff>
<aff id="aff5"><label>5</label><institution>The School of Global Health, Chinese Center for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine</institution>, <city>Shanghai</city>,&#xa0;<country country="cn">China</country></aff>
<author-notes>
<corresp id="c001"><label>*</label>Correspondence: Jianping Cao, <email xlink:href="mailto:caojp@chinacdc.cn">caojp@chinacdc.cn</email>; Shaohong Lu, <email xlink:href="mailto:llsshh2003@163.com">llsshh2003@163.com</email></corresp>
</author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2026-02-19">
<day>19</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>1766930</elocation-id>
<history>
<date date-type="received">
<day>13</day>
<month>12</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>30</day>
<month>01</month>
<year>2026</year>
</date>
<date date-type="rev-recd">
<day>28</day>
<month>01</month>
<year>2026</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2026 Peng, Zhang, Zhang, Zhou, Cui, Xu, Jiang, Yin, Hu, Shen, Lu and Cao.</copyright-statement>
<copyright-year>2026</copyright-year>
<copyright-holder>Peng, Zhang, Zhang, Zhou, Cui, Xu, Jiang, Yin, Hu, Shen, Lu and Cao</copyright-holder>
<license>
<ali:license_ref start_date="2026-02-19">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>Background</title>
<p>Schistosomiasis-induced liver fibrosis is a major cause of morbidity and mortality, driven largely by dysregulated immune responses. Natural killer (NK) cells are critical antifibrotic effectors; however, their functions are often impaired during chronic infection.</p>
</sec>
<sec>
<title>Methods</title>
<p>To investigate the mechanism underlying NK cell dysfunction, we established a murine model of <italic>Schistosoma japonicum</italic> infection and assessed NK cell phenotype, cytokine production, and fibrosis markers. A <italic>TIGIT</italic>-knockdown NK92 cell line and NK cell&#x2013;specific <italic>Tigit</italic>-deficient mice were generated to examine the regulatory role of TIGIT. RNA sequencing and functional assays were used to identify downstream effectors.</p>
</sec>
<sec>
<title>Results</title>
<p>TIGIT expression on hepatic NK cells increased progressively during infection and was accompanied by reduced secretion of interferon-&#x3b3; and granzyme B, indicating functional exhaustion. <italic>TIGIT</italic> knockdown restored NK cell cytotoxicity against hepatic stellate cells and upregulated interferon-induced transmembrane protein IFI30, enhancing NK cell proliferation through an interferon-&#x3b3;&#x2013;dependent mechanism. <italic>In vivo</italic>, NK cell&#x2013;specific <italic>TIGIT</italic> deletion alleviated hepatic inflammation, collagen deposition, and fibrosis marker expression in schistosomiasis-infected mice.</p>
</sec>
<sec>
<title>Conclusion</title>
<p>These findings identify TIGIT as a key negative regulator of NK cell antifibrotic activity and reveal an immunoregulatory TIGIT&#x2013;interferon-&#x3b3;&#x2013;IFI30 axis that drives NK cell dysfunction and promotes schistosomiasis-induced liver fibrosis. Targeting this pathway may provide a new immunotherapeutic strategy for fibrotic diseases associated with chronic infection.</p>
</sec>
</abstract>
<kwd-group>
<kwd>interferon gamma inducible protein 30 (IFI30)</kwd>
<kwd>interferon-&#x3b3; (IFN-&#x3b3;)</kwd>
<kwd>natural killer (NK)</kwd>
<kwd>schistosomiasis</kwd>
<kwd>TIGIT</kwd>
</kwd-group>
<funding-group>
<funding-statement>The author(s) declared that financial support was received for this work and/or its publication. This work was supported by grants from the National Nature Science Foundation of China (Nos. 82272369 and 82572608 to JC). The funders had no role in the study design, data collection, and analysis, decision to publish, or preparation of the manuscript.</funding-statement>
</funding-group>
<counts>
<fig-count count="5"/>
<table-count count="1"/>
<equation-count count="0"/>
<ref-count count="44"/>
<page-count count="12"/>
<word-count count="5245"/>
</counts>
<custom-meta-group>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Parasite Immunology</meta-value>
</custom-meta>
</custom-meta-group>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<title>Introduction</title>
<p>Schistosomiasis is a parasitic disease caused by infection with trematodes of the genus <italic>Schistosoma</italic>, primarily endemic to tropical and subtropical regions. According to World Health Organization statistics, schistosome transmission occurs in 78 countries and territories worldwide, affecting more than 240 million people each year and posing a serious threat to global health and socioeconomic development (<xref ref-type="bibr" rid="B1">1</xref>&#x2013;<xref ref-type="bibr" rid="B3">3</xref>). <italic>Schistosoma japonicum</italic> remains the most prevalent species in China. Following infection, schistosome eggs become trapped in the liver and release soluble egg antigens, which trigger the activation and proliferation of hepatic stellate cells (HSCs). Activated HSCs transdifferentiate into myofibroblasts, leading to excessive extracellular matrix deposition and progressive liver fibrosis, the principal and most severe pathological feature in schistosomiasis patients (<xref ref-type="bibr" rid="B4">4</xref>&#x2013;<xref ref-type="bibr" rid="B6">6</xref>). The 2024 National Surveillance and Control Report indicated that 86.22% of endemic areas in China have achieved elimination criteria; however, more than 10,000 schistosomiasis cases remain, of which 99.99% are in the advanced stage (<xref ref-type="bibr" rid="B7">7</xref>&#x2013;<xref ref-type="bibr" rid="B9">9</xref>). Therefore, elucidating the mechanisms underlying schistosomiasis-induced liver fibrosis is critical for slowing disease progression and reducing the clinical burden among affected individuals.</p>
<p>Natural killer (NK) cells, key effector components of the innate immune system (<xref ref-type="bibr" rid="B10">10</xref>, <xref ref-type="bibr" rid="B11">11</xref>), play an essential regulatory role in the development and resolution of liver fibrosis (<xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B13">13</xref>). Previous studies have demonstrated that NK cell deficiency exacerbates fibrotic progression, whereas adoptive transfer of activated NK cells markedly attenuates fibrosis (<xref ref-type="bibr" rid="B14">14</xref>). NK cells exert their antifibrotic effects primarily by selectively eliminating activated HSCs (<xref ref-type="bibr" rid="B15">15</xref>). This cytotoxicity is mediated through activating receptors such as NKG2D, which recognize stress-induced ligands including MICA/B expressed on activated HSCs (<xref ref-type="bibr" rid="B16">16</xref>, <xref ref-type="bibr" rid="B17">17</xref>). Engagement of these receptors triggers HSCs apoptosis via the perforin/granzyme and TRAIL&#x2013;DR5 death receptor pathways (<xref ref-type="bibr" rid="B18">18</xref>). In parallel, activated NK cells secrete high levels of interferon-&#x3b3; (IFN-&#x3b3;), which directly induces apoptosis of HSCs and mitigates fibrotic progression (<xref ref-type="bibr" rid="B19">19</xref>, <xref ref-type="bibr" rid="B20">20</xref>). Therefore, the balance between activating and inhibitory receptor signaling on NK cells is a critical determinant of their functional state, whether activated or exhausted, and consequently of their capacity to regulate liver fibrosis.</p>
<p>Our previous study demonstrated that NK cells are activated and exert anti-infective functions during the early phase of <italic>S</italic>. <italic>japonicum</italic> infection (2&#x2013;4 weeks post-infection), whereas functional exhaustion becomes evident by 6 weeks post-infection (<xref ref-type="bibr" rid="B21">21</xref>). Transcriptomic analysis further revealed that the upregulation of the inhibitory receptor TIGIT on NK cells may represent a key mechanism underlying this exhaustion (<xref ref-type="bibr" rid="B22">22</xref>). As an important immune checkpoint molecule, TIGIT plays a pivotal role in modulating NK cell activity. Previous research has shown that TIGIT expression is markedly elevated on NK cells in chronic viral infections such as hepatitis C virus (HCV) and human immunodeficiency virus (HIV) infection, as well as in various tumor microenvironments, where it is closely associated with a functionally exhausted phenotype. Notably, blockade of TIGIT signaling has been shown to reverse NK cell dysfunction and enhance cytotoxic activity against hepatocellular carcinoma (HCC) cells (<xref ref-type="bibr" rid="B23">23</xref>, <xref ref-type="bibr" rid="B24">24</xref>). These findings identify TIGIT as a critical negative regulator of NK cell function. Building upon these insights, the present study aims to elucidate the molecular mechanisms by which TIGIT upregulation drives NK cell exhaustion, thereby providing a theoretical foundation for the development of potential antifibrotic immunotherapeutic strategies.</p>
</sec>
<sec id="s2" sec-type="materials|methods">
<title>Materials and methods</title>
<sec id="s2_1">
<title>Ethics statement</title>
<p>All animal experiments were conducted in strict accordance with the Regulations for the Administration of Affairs Concerning Experimental Animals approved by the State Council of the People&#x2019;s Republic of China and complied with internationally accepted guidelines for laboratory animal care and use. All procedures were designed to minimize animal suffering. Mice were humanely euthanized in accordance with the AVMA Guidelines for the Euthanasia of Animals (2020) using intraperitoneal injection of sodium pentobarbital. The study protocol was reviewed and approved by the Laboratory Animal Welfare &amp; Ethics Committee (LAWEC) of the National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention (Chinese Center for Tropical Diseases Research; approval ID: IPD-2022-015).</p>
</sec>
<sec id="s2_2">
<title>Animals, cells and parasites</title>
<p>Six-week-old female C57BL/6 mice were obtained from Ji Hui Laboratory Animal Co., Ltd. (Shanghai, China). <italic>Tigit</italic><sup>fl/fl</sup>-<italic>Ncr1</italic><sup>iCre/+</sup> mice were purchased from Mouse Treasure Biotechnology Co., Ltd. (Wuhan, China). <italic>S. japonicum</italic> cercariae (Chinese mainland strain) were provided by the snail breeding facility of our institute. All animals were maintained under specific pathogen-free (SPF) conditions in accordance with institutional animal care guidelines.</p>
</sec>
<sec id="s2_3">
<title>Isolation and analysis of mice nonparenchymal hepatocytes</title>
<p>Female C57BL/6 mice were infected with <italic>S. japonicum</italic> cercariae using the abdominal patch method (20 &#xb1; 1 cercariae per mouse). Six mice were sacrificed prior to infection, and at 4, 6 and 8 weeks post-infection. All mice were humanely euthanized in strict accordance with the AVMA Guidelines for the Euthanasia of Animals (2020) via intraperitoneal injection of sodium pentobarbital (200 mg/kg body weight). Livers were perfused through the hepatic portal vein with phosphate-buffered saline (PBS). Nonparenchymal hepatic cells were isolated by double-density Percoll gradient centrifugation (Cytiva, Uppsala, Sweden). The white, cloud-like interphase fraction containing nonparenchymal cells was collected, washed twice with PBS, and treated with red blood cell lysis buffer to remove erythrocytes. The cell concentration was adjusted to 1 &#xd7; 10<sup>5</sup> cells/mL in fluorescence-activated cell sorting (FACS) buffer.</p>
<p>For flow cytometric analysis, cells were stained with the following fluorochrome-conjugated antibodies: Annexin V&#x2013;BV605, CD3e&#x2013;BB700, NK1.1&#x2013;AF700, TIGIT&#x2013;PE, IFN&#x3b3;&#x2013;PE&#x2013;Cy7, and GZMB&#x2013;APC (all from BD Biosciences, San Diego, CA, USA). NK cells were defined as CD3<sup>&#x2212;</sup>NK1.1<sup>+</sup> populations. Staining was performed for 30 min at room temperature (24&#x2013;26 &#xb0;C) and cells were washed once with FACS buffer. Data acquisition was performed using a BD FACSVerse flow cytometer (BD Biosciences), and data were analyzed with FlowJo v10 software (BD Biosciences). The proportions of NK cells and their intracellular levels of IFN&#x3b3; and GZMB were subsequently evaluated.</p>
</sec>
<sec id="s2_4">
<title>Establishment of <italic>TIGIT</italic>-knockdown NK92 cell and cell cycle detection</title>
<p>The human NK92 cell line was obtained from the National Collection of Authenticated Cell Cultures (Shanghai, China). Cells were maintained in MyeloCult&#x2122; H5100 medium (StemCell Technologies, Vancouver, Canada) supplemented with 12.6% horse serum (Gibco, Grand Island, NY, USA) and 100 U/mL recombinant human interleukin-2 (IL-2; Miltenyi Biotec, Bergisch Gladbach, Germany). Cultures were incubated at 37 &#xb0;C in a humidified atmosphere containing 5% CO<sub>2</sub>.</p>
<p>To establish <italic>TIGIT</italic>-knockdown NK92 cells, the lentiviral vector pLent-EF1&#x3b1;-H1-GFP-Puro carrying the <italic>TIGIT</italic> short hairpin RNA (shRNA) sequence was used. The control and <italic>TIGIT</italic> -targeting lentiviruses were packaged and synthesized by Angel Biotechnology Co., Ltd. (Suzhou, China). NK92 cells were transduced with either the control or <italic>TIGIT</italic> knockdown lentivirus at a multiplicity of infection (MOI) of 100. After 72 h, puromycin (2 &#xb5;g/mL) was added to the culture medium for selection, and stable cell lines were obtained after two weeks of continuous screening. The resulting negative control (NC) and <italic>TIGIT</italic>-knockdown (KD) NK92 cell lines were maintained under identical conditions.</p>
<p>For cell cycle analysis, cells were stained using a Cell Cycle Detection Kit (Beyotime Biotechnology Co., Ltd., Shanghai, China) according to the manufacturer&#x2019;s protocol, followed by flow cytometric analysis. Data were acquired using a BD FACSVerse flow cytometer (BD Biosciences, San Diego, CA, USA) and analyzed with FlowJo v10 software (BD Biosciences) to determine the distribution of cells across different phases of the cell cycle.</p>
</sec>
<sec id="s2_5">
<title>Detection of NK cell function</title>
<p>The human hepatic stellate cell line LX-2 was obtained from the Shanghai Cell Bank of the Chinese Academy of Sciences (Shanghai, China) and cultured in Dulbecco&#x2019;s Modified Eagle&#x2019;s Medium (DMEM; Gibco, Grand Island, NY, USA) supplemented with 10% fetal bovine serum (FBS; Gibco) at 37 &#xb0;C in a humidified atmosphere containing 5% CO<sub>2</sub>. NK92 cells from the negative control (NC) and <italic>TIGIT</italic>-knockdown (KD) groups were co-cultured with LX-2 cells at a ratio of 5:1 for 12 h.</p>
<p>After co-culture, LX-2 cells were harvested, and apoptosis was evaluated using an Annexin V/PI Apoptosis Detection Kit (Elabscience Biotechnology Co., Ltd., Wuhan, China) according to the manufacturer&#x2019;s instructions. Flow cytometric analysis was performed on a BD FACSVerse flow cytometer (BD Biosciences, San Diego, CA, USA), and data were analyzed with FlowJo v10 software (BD Biosciences) to determine the proportion of apoptotic cells.</p>
<p>In parallel, the expression levels of Gzmb and Prf1 in NK92 cells were analyzed by flow cytometry and quantitative reverse transcription PCR (RT-qPCR). For flow cytometry, cells were stained with GZMB&#x2013;PE and PRF1&#x2013;PE&#x2013;Cy7 antibodies (Thermo&#xa0;Fisher Scientific, Waltham, MA, USA) following standard protocols.</p>
</sec>
<sec id="s2_6">
<title>Treatment of NK92 cells with IFN&#x3b3; antagonists</title>
<p>NK92 cells were seeded in six-well plates at a density of 1 &#xd7; 10<sup>6</sup> cells/mL and treated with 100 &#x3bc;mol IFN&#x3b3; antagonist 1 (MedChemExpress, Monmouth Junction, NJ, USA) for 48 h. Cells cultured under identical conditions without antagonist treatment served as the control group.</p>
</sec>
<sec id="s2_7">
<title>RNA extraction, reverse transcription and RT-qPCR analysis</title>
<p>Total RNA was extracted from mouse liver tissue and NK92 cells using a Cell and Tissue RNA Extraction Kit (Sikejie Biotechnology Co., Ltd., Shandong, China) according to the manufacturer&#x2019;s instructions. The concentration and purity of RNA were determined spectrophotometrically, and 1 &#x3bc;g of total RNA was reverse-transcribed into complementary DNA (cDNA) using a Reverse Transcription Kit (Sikejie Biotechnology). Quantitative real-time PCR (RT-qPCR) was then performed to evaluate the expression of target genes associated with liver fibrosis (<italic>Acta2</italic>, <italic>Col1a1</italic>, <italic>Fn</italic>) and NK cell function (<italic>Tigit</italic>, <italic>Ifn&#x3b3;</italic>, <italic>Gzmb</italic>, <italic>Ifi30</italic>). Primer sequences used in this study are listed in <xref ref-type="table" rid="T1"><bold>Table&#xa0;1</bold></xref>.</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Primer sequences for qPCR.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left">Gene name</th>
<th valign="middle" align="left">Forward primer sequence (5'&#x2192;3')</th>
<th valign="middle" align="left">Reverse primer sequences (5'&#x2192;3')</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left"><italic>GAPDH</italic> c</td>
<td valign="middle" align="left">AAGGTGAAGGTCGGAGTCAAC</td>
<td valign="middle" align="left">GGGGTCATTGATGGCAACAATA</td>
</tr>
<tr>
<td valign="middle" align="left"><italic>Gapdh</italic> (Mouse)</td>
<td valign="middle" align="left">TGTTCCTACCCCCAATGTGTC</td>
<td valign="middle" align="left">TGAAGTCGCAGGAGACAACC</td>
</tr>
<tr>
<td valign="middle" align="left"><italic>TIGIT</italic> (Human)</td>
<td valign="middle" align="left">TGGTGGTCATCTGCACAGCAGT</td>
<td valign="middle" align="left">TTTCTCCTGAGGTCACCTTCCAC</td>
</tr>
<tr>
<td valign="middle" align="left"><italic>Tigit</italic> (Mouse)</td>
<td valign="middle" align="left">GCTGTGCTGGGACTCATTTG</td>
<td valign="middle" align="left">GAGAGACTCCTCAGGTTCCATTC</td>
</tr>
<tr>
<td valign="middle" align="left"><italic>GZMB</italic> (Human)</td>
<td valign="middle" align="left">GTGGCTTCCTGATACGAGACG</td>
<td valign="middle" align="left">AACTGCTGGGTCGGCTCC</td>
</tr>
<tr>
<td valign="middle" align="left"><italic>Gzmb</italic> (Mouse)</td>
<td valign="middle" align="left">TCCCCGTCTCTTCGTAAGC</td>
<td valign="middle" align="left">AGGAGCTGTCAGACCCCTTC</td>
</tr>
<tr>
<td valign="middle" align="left"><italic>IFNG</italic> (Human)</td>
<td valign="middle" align="left">TGTGGAGACCATCAAGGAAGAC</td>
<td valign="middle" align="left">ATGTATTGCTTTGCGTTGGAC</td>
</tr>
<tr>
<td valign="middle" align="left"><italic>Ifn&#x3b3;</italic> (Mouse)</td>
<td valign="middle" align="left">CAGCAACAGCAAGGCGAAAAAGG</td>
<td valign="middle" align="left">TTTCCGCTTCCTGAGGCTGGAT</td>
</tr>
<tr>
<td valign="middle" align="left"><italic>Acta2</italic></td>
<td valign="middle" align="left">CCCTGAAGAGCATCCGACA</td>
<td valign="middle" align="left">CTCCAGAGTCCAGCACAATACC</td>
</tr>
<tr>
<td valign="middle" align="left"><italic>Col1a1</italic></td>
<td valign="middle" align="left">GAGGGCGAGTGCTGTGCT</td>
<td valign="middle" align="left">GTCCAGGGATGCCATCTCG</td>
</tr>
<tr>
<td valign="middle" align="left"><italic>IFI30</italic> (Human)</td>
<td valign="middle" align="left">TGTCACGCTGGTGCCCTAC</td>
<td valign="middle" align="left">CCTTGTTGAATTTGCACTCCTC</td>
</tr>
<tr>
<td valign="middle" align="left"><italic>Ifi30</italic> (<italic>Mouse</italic>)</td>
<td valign="middle" align="left">ATCCTCCGAAGGCACAACC</td>
<td valign="middle" align="left">GGACGAGGAAGTAGCGACAAG</td>
</tr>
<tr>
<td valign="middle" align="left"><italic>SPRED3</italic> (Human)</td>
<td valign="middle" align="left">GTTTACAACAAGGTGAATCCCATC</td>
<td valign="middle" align="left">TCTGAAACGTCAGTCCAAACTTG</td>
</tr>
<tr>
<td valign="middle" align="left"><italic>TREX2</italic> (Human)</td>
<td valign="middle" align="left">GAGCTGTCCCTCTTTGCTGTCC</td>
<td valign="middle" align="left">GGCAATACTAGGGCACCAGACTC</td>
</tr>
<tr>
<td valign="middle" align="left"><italic>GNPDA1</italic> (Human)</td>
<td valign="middle" align="left">TGACATCCACCCAGAAAACACC</td>
<td valign="middle" align="left">ACAAATAGCTCGATCCCACCTG</td>
</tr>
<tr>
<td valign="middle" align="left"><italic>IRAK2</italic> (Human)</td>
<td valign="middle" align="left">ACTTCAGCACCTCCATTCCTAAG</td>
<td valign="middle" align="left">TGGCTGATTTTGCGGTTTTG</td>
</tr>
<tr>
<td valign="middle" align="left"><italic>TENM1</italic> (Human)</td>
<td valign="middle" align="left">TTGATCATATAACCCGCACAGG</td>
<td valign="middle" align="left">ATCCCGAAGGTGAATATGTGATG</td>
</tr>
<tr>
<td valign="middle" align="left"><italic>SNX13</italic> (Human)</td>
<td valign="middle" align="left">AGACTGGCAACCTTATTTTACTACAC</td>
<td valign="middle" align="left">CTGTTATTTTCTGTTGAGCCTTTC</td>
</tr>
<tr>
<td valign="middle" align="left"><italic>DAAM1</italic> (Human)</td>
<td valign="middle" align="left">GGACCTCACAGACAAACACAGAG</td>
<td valign="middle" align="left">TTTCTTGCTACAGTATATTTGCCA</td>
</tr>
<tr>
<td valign="middle" align="left"><italic>SERPINE1</italic> (Human)</td>
<td valign="middle" align="left">CTCATCAGCCACTGGAAAGGCA</td>
<td valign="middle" align="left">GACTCGTGAAGTCAGCCTGAAAC</td>
</tr>
<tr>
<td valign="middle" align="left"><italic>TNFSF13B</italic> (Human)</td>
<td valign="middle" align="left">AATCTTTGAACCACCAGCTCCA</td>
<td valign="middle" align="left">GTTTCTTCTGGACCCTGAACGG</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s2_8">
<title>Transcriptome analysis by RNA sequencing</title>
<p>NK92 cells from the NC and KD groups (three biological replicates per group) were collected and washed three times with PBS to remove residual contaminants. Total RNA was extracted using TRIzol Reagent (Invitrogen, Carlsbad, CA, USA) and quantified spectrophotometrically to assess purity and concentration. High-quality RNA samples were submitted to Biomarker Technologies Co., Ltd. (Beijing, China) for library preparation and sequencing. Differentially expressed genes (DEGs) were identified between the NC and KD groups. Functional enrichment and signaling pathway analyses of DEGs were performed using the Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) databases to elucidate the biological processes and molecular pathways affected by <italic>TIGIT</italic> knockdown.</p>
</sec>
<sec id="s2_9">
<title>Hematoxylin and eosin and Masson staining</title>
<p>Liver tissues were fixed in 4% paraformaldehyde, routinely dehydrated, and paraffin-embedded. Tissue sections (4 &#xb5;m thick) were stained using Hematoxylin and Eosin (HE) and Masson Staining Kits (Solarbio Science &amp; Technology Co., Ltd., Beijing, China) according to the manufacturer&#x2019;s protocols. For each group, three &#xb1; two representative sections containing single egg granulomas were imaged under a microscope using CellSens imaging software (Olympus, Tokyo, Japan). The proportion of positively stained areas was quantified using ImageJ software (National Institutes of Health, Bethesda, MD, USA).</p>
</sec>
<sec id="s2_10">
<title>Quantification of liver egg burden</title>
<p>The hepatic egg burden was quantified using an alkaline digestion method to assess the intensity of <italic>S. japonicum</italic> infection. Mice were sacrificed at 6 weeks post-infection and humanely euthanized in strict accordance with the AVMA Guidelines for the Euthanasia of Animals (2020) via intraperitoneal injection of sodium pentobarbital (200 mg/kg body weight). The liver was immediately harvested, and approximately 0.1 g of tissue from each mouse was accurately weighed and transferred to a centrifuge tube. Liver samples were digested in 8 mL of 4% potassium hydroxide (KOH) solution at 37 &#xb0;C for 2 h with constant shaking at 150 rpm to completely dissolve the tissue and release schistosome eggs. Following digestion, the suspension was thoroughly vortexed, and a 10 &#x3bc;L aliquot of the homogenized solution was placed onto a glass slide for egg counting under a light microscope. Egg counts were performed independently in triplicate for each sample, and the mean value was calculated. The total egg number in the entire digest was extrapolated based on the aliquot-to-total volume ratio. Hepatic egg burden was ultimately expressed as the number of eggs per gram of liver tissue.</p>
</sec>
<sec id="s2_11">
<title>Western blot analysis</title>
<p>Total protein was extracted from liver tissue or cultured cells using 1 mL of RIPA lysis buffer supplemented with protease and phosphatase inhibitors (Solarbio Science &amp; Technology Co., Ltd., Beijing, China). Lysates were centrifuged at 12,000 rpm (12,830 &#xd7; g) for 5 min at 4 &#xb0;C, and the protein concentration of the supernatant was determined using the bicinchoninic acid (BCA) assay (Solarbio Science &amp; Technology). Equal amounts of protein (30&#x2013;50 &#x3bc;g) were separated by sodium dodecyl sulfate&#x2013;polyacrylamide gel electrophoresis (SDS&#x2013;PAGE) and transferred onto polyvinylidene fluoride (PVDF) membranes using a semi-dry transfer apparatus (Bio-Rad, Hercules, CA, USA).</p>
<p>Membranes were blocked and then incubated overnight at 4 &#xb0;C with the following primary antibodies: Mouse Anti-GAPDH (Cat. No. 5174; CST, Danvers, MA, USA), Rabbit Anti-Bcl-2 (Cat. No. 4223; CST), Rabbit Anti-Bax (Cat. No. 50599-2-Ig; ProteinTech, Wuhan, China), Rabbit Anti-Collagen I (Cat. No. 72026; CST), Rabbit Anti-&#x3b1;-Smooth Muscle Actin (&#x3b1;-SMA; Cat. No. 19245; CST), Rabbit Anti-TIGIT (Cat. No. 99568; CST), and Rabbit Anti-IFI30 (Cat. No. 15112-1-AP; ProteinTech). After washing, membranes were incubated with horseradish peroxidase (HRP)-conjugated secondary antibodies, sheep anti-rabbit IgG or sheep anti-mouse IgG (1:4000; Jackson ImmunoResearch, West Grove, PA, USA), for 1 h at room temperature. Immunoreactive bands were visualized using enhanced chemiluminescence (ECL) reagents (Solarbio Science &amp; Technology).</p>
<p>Three to four biological replicates were included for each experimental group. Band intensities were quantified using ImageJ software (NIH, Bethesda, MD, USA), and protein expression levels were normalized to GAPDH.</p>
</sec>
<sec id="s2_12">
<title>Statistical analysis</title>
<p>All statistical analyses were performed using GraphPad Prism 5.0 (GraphPad Software, San Diego, CA, USA) and Microsoft Excel 2010 (Microsoft, Redmond, WA, USA). Differences between two groups were evaluated using a two-tailed paired Student&#x2019;s t-test or a two-tailed Mann&#x2013;Whitney U test, as appropriate. Comparisons among multiple groups were conducted using one-way analysis of variance (ANOVA). Data are presented as mean &#xb1; standard deviation (SD), and a <italic>P</italic> value of less than 0.05 was considered statistically significant.</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<title>Results</title>
<sec id="s3_1">
<title>High TIGIT expression is associated with NK cell exhaustion</title>
<p>A schistosomiasis infection mouse model was established by percutaneous exposure of mice to <italic>S. japonicum cercariae</italic>. HE and Masson staining confirmed the successful establishment of liver fibrosis at 6 weeks post-infection, as indicated by marked deposition of schistosome eggs within the liver (<xref ref-type="fig" rid="f1"><bold>Figure&#xa0;1A</bold></xref>). Pronounced infiltration of inflammatory cells forming ring-shaped granulomas around the eggs and a substantial increase in collagen fiber accumulation were evident in these regions (<xref ref-type="fig" rid="f1"><bold>Figures&#xa0;1B, C</bold></xref>). Consistently, the liver-to-body weight ratio was significantly elevated at 6 weeks post-infection, further validating the successful construction of the fibrosis model (<xref ref-type="fig" rid="f1"><bold>Figure&#xa0;1D</bold></xref>). RT-qPCR analysis revealed that the expression levels of <italic>Acta2</italic>, <italic>Col1a1</italic>, and <italic>Fn</italic> were markedly upregulated in the liver at 6 weeks post-infection, accompanied by a significant increase in <italic>Tigit</italic> expression (<xref ref-type="fig" rid="f1"><bold>Figure&#xa0;1E</bold></xref>).</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>TIGIT upregulation on NK cells impairs their antifibrotic function during schistosomiasis infection. <bold>(A)</bold> Representative HE and Masson staining of liver tissue from control (WT)and <italic>S. japonicum</italic>&#x2013;infected (SJ) mice at 6 weeks post-infection showing egg deposition and collagen accumulation. <bold>(B)</bold> Quantification of granulomatous inflammatory cell infiltration. <bold>(C)</bold> Quantification of collagen fiber deposition. <bold>(D)</bold> Liver-to-body weight ratio in control and infected mice. <bold>(E)</bold> Relative hepatic mRNA expression levels of <italic>Acta2</italic>, <italic>Col I</italic>, <italic>Fn</italic>, and <italic>Tigit</italic> at different time points post-infection. <bold>(F)</bold> Flow cytometric gating strategy for NK cells (CD3<sup>&#x2212;</sup>NK1.1<sup>+</sup>) from hepatic nonparenchymal cells. <bold>(G)</bold> Proportion of NK cells at 0, 4, 6, and 8 weeks post-infection. <bold>(H)</bold> Percentage of TIGIT<sup>+</sup> NK cells during infection. <bold>(I, J)</bold> Percentages of IFN&#x3b3;<sup>+</sup> and GZMB<sup>+</sup> NK cells at different infection stages. *<italic>P</italic> &lt; 0.05, **<italic>P</italic> &lt; 0.01, ***<italic>P</italic> &lt; 0.001, ****<italic>P</italic> &lt; 0.0001.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-17-1766930-g001.tif">
<alt-text content-type="machine-generated">Panel A shows representative liver tissue sections from wildtype and disease model mice stained with hematoxylin and eosin and Masson trichrome, revealing increased immune cell infiltration and collagen deposition in the disease model. Panels B to D present bar graphs quantifying increased immune cell density, collagen area, and liver-to-body weight ratio in disease model versus control. Panel E shows a bar graph of significantly elevated expression levels of Tigit, Acta2, Col1a1, and Fibronectin in the disease model group. Panel F displays a series of flow cytometry plots analyzing liver cells for natural killer (NK) cell markers, functional proteins, and expression of TIGIT and IFN&#x3b3;. Panels G to J are bar graphs quantifying changes in NK cell populations and the expression of TIGIT, granzyme B, and IFN&#x3b3;, showing significant differences between groups and over time.</alt-text>
</graphic></fig>
<p>Flow cytometric analysis of hepatic immune cells demonstrated a time-dependent dysregulation of NK cell populations during <italic>S. japonicum</italic> infection. Although the overall proportion of NK cells among hepatic nonparenchymal cells increased at 6 weeks post-infection (<xref ref-type="fig" rid="f1"><bold>Figures&#xa0;1F, G</bold></xref>), there was a concomitant and progressive expansion of NK cells expressing the inhibitory immune checkpoint receptor TIGIT, which peaked at the same time point (<xref ref-type="fig" rid="f1"><bold>Figure&#xa0;1H</bold></xref>). Importantly, these TIGIT<sup>+</sup> NK cells displayed profound functional impairment, as indicated by significantly reduced production of IFN&#x3b3; and granzyme B (<xref ref-type="fig" rid="f1"><bold>Figures&#xa0;1I, J</bold></xref>). Our findings indicate that the progression of schistosomiasis-induced liver fibrosis is associated with the accumulation of TIGIT<sup>+</sup> hepatic NK cells that exhibit functional impairment, defining an exhausted phenotype.</p>
</sec>
<sec id="s3_2">
<title><italic>TIGIT</italic> knockout upregulates IFN-&#x3b3; expression and partially restores NK cell cytotoxic function</title>
<p>To investigate the effect of TIGIT on NK cell function, a <italic>TIGIT</italic>-knockdown NK92 cell line was established. As shown in <xref ref-type="fig" rid="f2"><bold>Figure&#xa0;2A</bold></xref>, the transduced cells exhibited strong green fluorescence, confirming successful lentiviral transfection. RT-qPCR analysis further verified efficient <italic>TIGIT</italic> knockdown in NK92 cells (<xref ref-type="fig" rid="f2"><bold>Figure&#xa0;2B</bold></xref>). Flow cytometric analysis demonstrated that <italic>TIGIT</italic> knockdown significantly increased IFN&#x3b3; expression compared with control NK92 cells (<xref ref-type="fig" rid="f2"><bold>Figures&#xa0;2C, E</bold></xref>), whereas GZMB expression remained unchanged (<xref ref-type="fig" rid="f2"><bold>Figures&#xa0;2D, F</bold></xref>). Moreover, when co-cultured with LX-2 cells for 6 h, <italic>TIGIT</italic>-knockdown NK92 cells induced markedly higher levels of both early and late apoptosis in LX-2 cells compared with the control group (<xref ref-type="fig" rid="f2"><bold>Figures&#xa0;2G&#x2013;I</bold></xref>). These findings indicate that loss of TIGIT enhances IFN&#x3b3; secretion and partially restores the cytotoxic activity of NK92 cells against hepatic stellate cells.</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p><italic>TIGIT</italic> knockdown enhances IFN&#x3b3; production and partially restores NK92 cell cytotoxicity. <bold>(A)</bold> GFP fluorescence confirming successful lentiviral transduction of <italic>TIGIT</italic>-knockdown (KD) NK92 cells. <bold>(B)</bold> RT-qPCR verification of <italic>TIGIT</italic> knockdown efficiency. <bold>(C, D)</bold> Representative flow cytometry plots of IFN&#x3b3; and GZMB expression in control (NC) and <italic>TIGIT</italic>-KD (KD) NK92 cells. <bold>(E, F)</bold> Quantification of IFN&#x3b3;<sup>+</sup> and GZMB<sup>+</sup> cell proportions. <bold>(G&#x2013;I)</bold> Flow cytometric analysis of apoptosis in LX-2 cells after co-culture with NC or <italic>TIGIT</italic>-KD NK92 cells for 6 h, showing increased early and late apoptosis induced by <italic>TIGIT</italic> knockdown. *<italic>P</italic> &lt; 0.05, **<italic>P</italic> &lt; 0.01, ***<italic>P</italic> &lt; 0.001.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-17-1766930-g002.tif">
<alt-text content-type="machine-generated">Fluorescent and bright-field microscopic images show cell morphology and structure with scale bars labeled one hundred micrometers. Bar graph B compares gene expression between control, NC, and KD groups, showing significant reduction in KD. Flow cytometry plots in panels C and E display IFN-gamma and GZMB expression in NK cells for NC and KD groups. Bar graphs D and F quantify increased IFN-gamma-positive but unchanged GZMB-positive NK cells in KD versus NC. Panel G shows flow cytometry dot plots for apoptosis detection in NC and KD groups. Bar graphs H and I demonstrate increased early and late apoptosis in KD group compared to NC.</alt-text>
</graphic></fig>
</sec>
<sec id="s3_3">
<title>RNA-seq reveals that <italic>TIGIT</italic> downregulation significantly alters IFI30 expression and affects NK cell activation</title>
<p>RNA-seq analysis was performed to compare gene expression profiles between <italic>TIGIT</italic>-knockdown and control NK92 cells, with transcriptome validation and GO enrichment results shown in <xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Figures&#xa0;2A, B</bold></xref>. The resulting volcano plot of differentially expressed genes (DEGs) identified 122 upregulated and 84 downregulated genes following <italic>TIGIT</italic> knockdown (<xref ref-type="fig" rid="f3"><bold>Figure&#xa0;3A</bold></xref>). KEGG pathway enrichment analysis revealed that the DEGs were primarily associated with immune cytokine signaling and apoptotic pathways (<xref ref-type="fig" rid="f3"><bold>Figure&#xa0;3B</bold></xref>). Validation by RT-qPCR and WB confirmed that TIGIT downregulation led to a marked increase in IFI30 expression (<xref ref-type="fig" rid="f3"><bold>Figures&#xa0;3C&#x2013;E</bold></xref>). Flow cytometric analysis further showed that the proportion of NK92 cells in the proliferative (S) phase was significantly higher after <italic>TIGIT</italic> knockdown, indicating enhanced proliferative activity (<xref ref-type="fig" rid="f3"><bold>Figures&#xa0;3F, G</bold></xref>). Treatment of NK92 cells with an IFN&#x3b3; antagonist for 48 h resulted in downregulation of Ifi30 expression, accompanied by decreased expression of the anti-apoptotic protein BCL2 and increased expression of the pro-apoptotic protein BAX (<xref ref-type="fig" rid="f3"><bold>Figures&#xa0;3H&#x2013;J</bold></xref>). These findings suggest that TIGIT modulates NK cell proliferation and survival through the IFN&#x3b3;&#x2013;IFI30 signaling axis.</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>TIGIT downregulation alters IFI30 expression and promotes NK cell activation. <bold>(A)</bold> Volcano plot of differentially expressed genes. <bold>(B)</bold> KEGG pathway enrichment analysis of upregulated genes showing enrichment in cytokine and apoptotic signaling pathways. <bold>(C&#x2013;E)</bold> Validation of <italic>Ifi30</italic>, <italic>Gzmb</italic>, and <italic>Ifn&#x3b3;</italic> expression by RT-qPCR and WB, confirming IFI30 upregulation following <italic>Tigit</italic> knockdown. <bold>(F, G)</bold> Flow cytometric analysis of cell cycle distribution and quantification of S-phase proportion, indicating enhanced proliferation after <italic>Tigit</italic> knockdown. <bold>(H&#x2013;J)</bold> RT-qPCR and WB analyses showing that IFN&#x3b3; antagonist treatment downregulates Ifi30 and Bcl2 while increasing Bax expression, suggesting that the IFN&#x3b3;&#x2013;IFI30 axis regulates NK cell proliferation and apoptosis. *<italic>P</italic> &lt; 0.05, **<italic>P</italic> &lt; 0.01, ***<italic>P</italic> &lt; 0.001, ****<italic>P</italic> &lt; 0.0001.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-17-1766930-g003.tif">
<alt-text content-type="machine-generated">Scientific figure composed of multiple panels showing various data: A, volcano plot depicting significant gene expression changes; B, bar chart of cellular pathways; C, bar graph of gene expression for TIGIT, IFI30, GZMB, and IFN&#x3b3; in NC and KD groups; D, western blot images for TIGIT, IFI30, and GAPDH; E, quantification bar graph of protein levels; F, flow cytometry histograms comparing NC and KD groups; G, bar graph summarizing S phase percentage; H, bar graph showing relative expression under control and anti-IFN&#x3b3; conditions; I, western blot images of BAX, BCL2, IFI30, and GAPDH under control and anti-IFN&#x3b3; treatments; J, quantification bar graph for protein levels from panel I. Statistical significance indicators and exact protein sizes are labeled throughout.</alt-text>
</graphic></fig>
</sec>
<sec id="s3_4">
<title>NK-specific knockout of <italic>TIGIT</italic> ameliorates schistosomiasis-induced liver fibrosis</title>
<p>To determine the <italic>in vivo</italic> role of TIGIT in schistosomiasis-induced liver fibrosis, NK cell&#x2013;specific <italic>Tigit</italic>-knockout mice were generated using gene-editing technology and subsequently infected with <italic>S. japonicum</italic>. Hepatic egg burden was first quantified to assess infection intensity. No significant difference in liver egg counts was observed between wild-type (WT) and <italic>Tigit</italic> knockout mice, indicating that the differences observed in subsequent pathological and immunological outcomes were not attributable to variations in parasite burden (<xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Figure&#xa0;2C</bold></xref>). Six weeks after <italic>S. japonicum</italic> infection, liver fibrosis was evaluated in both WT and <italic>Tigit</italic>-knockout mice by HE and Masson staining (<xref ref-type="fig" rid="f4"><bold>Figure&#xa0;4A</bold></xref>). Compared with WT mice, <italic>Tigit</italic>-knockout mice exhibited markedly reduced inflammatory cell infiltration on HE staining (<xref ref-type="fig" rid="f4"><bold>Figure&#xa0;4B</bold></xref>) and a notable decrease in collagen fiber deposition on Masson staining (<xref ref-type="fig" rid="f4"><bold>Figure&#xa0;4C</bold></xref>). Consistently, the liver-to-body weight ratio was significantly lower in <italic>Tigit</italic>-knockout mice than in WT controls at 6 weeks post-infection (<xref ref-type="fig" rid="f4"><bold>Figure&#xa0;4D</bold></xref>).</p>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>NK cell&#x2013;specific <italic>Tigit</italic> knockout alleviates schistosomiasis-induced liver fibrosis <italic>in vivo</italic>. <bold>(A)</bold> Representative HE and Masson staining of liver tissue from WT and <italic>Tigit</italic>-knockout mice 6 weeks post-infection. <bold>(B, C)</bold> Quantification of inflammatory infiltration and collagen deposition. <bold>(D)</bold> Liver-to-body weight ratio in WT and <italic>Tigit</italic>-knockout mice. <bold>(E)</bold> RT-qPCR analysis of <italic>Acta2</italic>, <italic>Col1a1</italic>, <italic>Fn</italic>, and <italic>Tigit</italic> mRNA expression in hepatic tissue. <bold>(F, G)</bold> WB detection and quantification of &#x3b1;-SMA, COL1, TIGIT, and IFI30 protein levels. <bold>(H, I)</bold> Flow cytometry and quantification showing increased NK cell proportions in <italic>Tigit</italic>-knockout mice. <bold>(J, K)</bold> Frequency of TIGIT<sup>+</sup> NK cells. <bold>(L, M)</bold> Proportions of IFN&#x3b3;<sup>+</sup> and NK cells, demonstrating enhanced NK cell activation following <italic>Tigit</italic> knockout. *<italic>P</italic> &lt; 0.05, **<italic>P</italic> &lt; 0.01, ***<italic>P</italic> &lt; 0.001, ****<italic>P</italic> &lt; 0.0001.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-17-1766930-g004.tif">
<alt-text content-type="machine-generated">Two sets of liver tissue sections stained with HE and Masson&#x2019;s trichrome highlight reduced fibrosis in Tigitfl/fl-Ncr1iCre/+ compared to WT mice. Multiple bar graphs and western blot panels show quantification of histological, molecular, and cellular markers including collagen, &#x3b1;SMA, TIGIT, IFI30, and COL1, with significant differences between genotypes. Flow cytometry histograms and quantified cell percentages illustrate shifts in NK1.1, TIGIT, and IFN&#x3b3; expression in NK cells between groups, supporting altered immune and fibrotic profiles.</alt-text>
</graphic></fig>
<p>Molecular analyses supported these histological findings. Both RT-qPCR (<xref ref-type="fig" rid="f4"><bold>Figure&#xa0;4E</bold></xref>) and WB (<xref ref-type="fig" rid="f4"><bold>Figures&#xa0;4F, G</bold></xref>) demonstrated that the hepatic expression levels of <italic>Acta2</italic>, <italic>Col1a1</italic>, <italic>Fn</italic>, and <italic>Tigit</italic> were significantly decreased in <italic>Tigit</italic>-knockout mice compared with WT counterparts. Flow cytometric analysis of hepatic nonparenchymal cells isolated 6 weeks after infection revealed an increased proportion of NK cells (<xref ref-type="fig" rid="f4"><bold>Figures&#xa0;4H, I</bold></xref>) and a significant reduction in TIGIT<sup>+</sup> NK cells (<xref ref-type="fig" rid="f4"><bold>Figures&#xa0;4J, K</bold></xref>) in <italic>Tigit</italic>-knockout mice. Moreover, IFN&#x3b3; secretion by NK cells was markedly enhanced following <italic>Tigit</italic> deletion (<xref ref-type="fig" rid="f4"><bold>Figures&#xa0;4L, M</bold></xref>). These results indicate that NK cell&#x2013;specific <italic>Tigit</italic> knockout effectively alleviates schistosomiasis-induced liver fibrosis by restoring NK cell abundance and functional activity.</p>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<title>Discussion</title>
<p>Schistosomiasis is a prevalent parasitic disease in which liver fibrosis represents the principal pathological manifestation and remains the leading cause of mortality among affected patients (<xref ref-type="bibr" rid="B25">25</xref>, <xref ref-type="bibr" rid="B26">26</xref>). Dysregulated host immune responses are key drivers of disease progression during chronic infection (<xref ref-type="bibr" rid="B27">27</xref>, <xref ref-type="bibr" rid="B28">28</xref>). Previous studies have demonstrated that upregulation of the inhibitory receptor TIGIT on NK cells is a critical factor contributing to their functional exhaustion (<xref ref-type="bibr" rid="B29">29</xref>). However, the precise molecular mechanism underlying this process has not been fully elucidated (<xref ref-type="bibr" rid="B30">30</xref>). The present study investigated the role of TIGIT in modulating NK cell function and its contribution to schistosomiasis-associated liver fibrosis. Our findings provide new insights into the immunoregulatory mechanisms linking NK cell dysfunction with fibrogenesis and identify TIGIT as a potential therapeutic target for the treatment of schistosomiasis-induced liver fibrosis.</p>
<p>This study provides preliminary evidence elucidating the molecular mechanism by which TIGIT regulates NK cell function and contributes to liver fibrosis. In the mouse model of <italic>S. japonicum</italic> infection, we observed that TIGIT expression on NK cells progressively increased with infection duration, peaking at 4&#x2013;6 weeks post-infection. This period coincided with a marked rise in liver fibrosis indicators, suggesting that TIGIT participates in fibrogenesis by suppressing NK cell activity. Concurrently, NK cells exhibited clear signs of functional exhaustion. These findings align with previous observations in chronic viral infections and tumor microenvironments, where TIGIT<sup>+</sup>TIM-3<sup>+</sup> double-positive NK cells in patients with HBV-associated hepatocellular carcinoma displayed a profoundly exhausted phenotype characterized by impaired cytotoxicity, diminished cytokine production, and reduced proliferative capacity (<xref ref-type="bibr" rid="B28">28</xref>, <xref ref-type="bibr" rid="B30">30</xref>, <xref ref-type="bibr" rid="B31">31</xref>). Similarly, in acute myeloid leukemia, TIGIT<sup>+</sup> NK cell subsets exhibit immunosuppressive characteristics, and <italic>TIGIT</italic> blockade significantly enhances the cytotoxic activity of NK92 cells against AML cells (<xref ref-type="bibr" rid="B32">32</xref>).</p>
<p>As an immune checkpoint molecule, TIGIT contributes to disease progression primarily by inhibiting NK cell effector functions. IFN&#x3b3;, TNF-&#x3b1;, granzyme B, and perforin are the principal cytotoxic mediators of NK cells (<xref ref-type="bibr" rid="B33">33</xref>&#x2013;<xref ref-type="bibr" rid="B35">35</xref>), and reduced secretion of these molecules diminishes NK-mediated killing of HSCs (<xref ref-type="bibr" rid="B15">15</xref>, <xref ref-type="bibr" rid="B36">36</xref>, <xref ref-type="bibr" rid="B37">37</xref>). Consistent with this, <italic>TIGIT</italic>-knockdown NK92 cells demonstrated significantly increased IFN&#x3b3; expression and enhanced cytolytic activity against LX-2 hepatic stellate cells, indicating that TIGIT modulates NK cell function largely through IFN&#x3b3;-dependent mechanisms.</p>
<p>Transcriptomic analysis further revealed that <italic>TIGIT</italic> knockdown markedly upregulated <italic>Ifi30</italic> expression and enhanced NK cell proliferation, as evidenced by an increased proportion of cells in the S phase. <italic>Ifi30</italic> is an IFN&#x3b3;-inducible gene (<xref ref-type="bibr" rid="B38">38</xref>, <xref ref-type="bibr" rid="B39">39</xref>), and prior studies have shown that its translation is repressed by inhibitory elements within the 5&#x2032; and 3&#x2032; untranslated regions under basal conditions. Upon IFN&#x3b3; stimulation, translation inhibitors at the 3&#x2032; region are released, allowing activators to bind and initiate <italic>Ifi30</italic> translation (<xref ref-type="bibr" rid="B40">40</xref>, <xref ref-type="bibr" rid="B41">41</xref>). Functionally, IFI30 promotes cell proliferation; in zebrafish embryos, <italic>Ifi30</italic> knockdown significantly reduces endothelial cell proliferation and migration (<xref ref-type="bibr" rid="B42">42</xref>). IFI30 is also highly expressed in breast cancer, where it correlates with poor prognosis, and its silencing inhibits tumor cell proliferation, migration, and invasion (<xref ref-type="bibr" rid="B43">43</xref>). Moreover, IFI30<sup>+</sup> M1-type tumor-associated macrophages enhance immune activation by promoting CD8<sup>+</sup> T-cell responses in the tumor microenvironment (<xref ref-type="bibr" rid="B44">44</xref>). In our study, treatment of NK92 cells with an IFN&#x3b3; antagonist reversed the increase in Ifi30 expression and was accompanied by reduced BCL2 and elevated BAX levels, confirming that the IFN&#x3b3;&#x2013;IFI30 axis plays a pivotal role in regulating NK cell proliferation and apoptosis.</p>
<p>Finally, in the NK-specific <italic>Tigit</italic>-knockout mouse model, <italic>Tigit</italic> deficiency significantly attenuated schistosomiasis-induced liver fibrosis, as evidenced by reduced inflammatory infiltration, decreased collagen deposition, and lower expression of fibrotic markers in liver tissue. These <italic>in vivo</italic> findings provide direct evidence for the critical role of TIGIT in promoting schistosomiasis-associated liver fibrosis through suppression of NK cell function.</p>
<p>This study revealed the critical role of the TIGIT&#x2013;IFN&#x3b3;&#x2013;IFI30 signaling axis in regulating NK cell function and schistosomiasis-induced liver fibrosis through both <italic>in vivo</italic> and <italic>in vitro</italic> experiments (<xref ref-type="fig" rid="f5"><bold>Figure&#xa0;5</bold></xref>), underscoring its theoretical and translational significance. We elucidated the mechanism by which TIGIT acts as a negative regulator of NK cell activity and identified IFI30 as a pivotal intermediary molecule within this pathway, providing novel insight into the immune regulatory mechanisms governing NK cell dysfunction during chronic infection. These findings contribute to a deeper understanding of the immunopathogenesis of schistosomiasis-associated liver fibrosis and lay a theoretical foundation for the development of TIGIT-targeted immunotherapeutic strategies.</p>
<fig id="f5" position="float">
<label>Figure&#xa0;5</label>
<caption>
<p>Proposed working model of the TIGIT&#x2013;IFN&#x3b3;&#x2013;IFI30 signaling axis in schistosomiasis-induced liver fibrosis. Schematic illustration showing that upregulation of TIGIT on NK cells during <italic>S. japonicum</italic> infection suppresses IFN&#x3b3; secretion and downregulates <italic>IFI30</italic> expression, leading to NK cell exhaustion and reduced cytotoxicity toward hepatic stellate cells. Conversely, TIGIT knockout restores IFN&#x3b3;&#x2013;IFI30 signaling, promotes NK cell proliferation and function, and mitigates hepatic fibrosis progression.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-17-1766930-g005.tif">
<alt-text content-type="machine-generated">Scientific illustration compares liver and NK cell interactions under normal conditions versus Schistosoma japonicum infection. Left panel shows healthy liver, low TIGIT expression, active NK cells, increased NK cell proliferation, and IFN-&#x3b3; production controlling HSC cells. Right panel depicts fibrotic liver, elevated TIGIT, NK cell exhaustion, decreased IFN-&#x3b3; and IFI30, reduced NK cell proliferation, and HSC accumulation due to infection. Arrows and molecular symbols illustrate regulatory pathways.</alt-text>
</graphic></fig>
<p>Despite these advances, certain limitations remain. Although IFI30 was shown to play an important role in TIGIT-mediated regulation of NK cell proliferation, the precise molecular mechanisms and downstream signaling pathways require further investigation. Moreover, as this study was primarily based on a mouse model, additional validation using clinical samples will be essential to confirm the relevance of TIGIT as a biomarker and potential therapeutic target in human schistosomiasis. These considerations highlight important directions for future research aimed at fully elucidating the role of TIGIT in the immune regulation of schistosomiasis-induced liver fibrosis.</p>
</sec>
</body>
<back>
<sec id="s5" 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. RNA-seq raw data have been deposited in the Genome Sequence Archive (GSA) database of the China National Bioinformation Center (<uri xlink:href="https://ngdc.cncb.ac.cn/gsa/">https://ngdc.cncb.ac.cn/gsa/</uri>) with the number CRA037766.</p></sec>
<sec id="s6" sec-type="ethics-statement">
<title>Ethics statement</title>
<p>The animal study was approved by the Laboratory Animal Welfare &amp; Ethics Committee (LAWEC) of the National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention (Chinese Center for Tropical Diseases Research). The study was conducted in accordance with the local legislation and institutional requirements.</p></sec>
<sec id="s7" sec-type="author-contributions">
<title>Author contributions</title>
<p>HP: Writing &#x2013; original draft, Formal analysis, Writing &#x2013; review &amp; editing, Conceptualization, Methodology. JZ: Methodology, Writing &#x2013; review &amp; editing, Formal analysis. XZ: Writing &#x2013; review &amp; editing, Formal analysis, Methodology. HZ: Methodology, Writing &#x2013; review &amp; editing, Formal analysis. LC: Writing &#x2013; review &amp; editing, Methodology. FX: Methodology, Writing &#x2013; review &amp; editing. TJ: Writing &#x2013; review &amp; editing, Methodology. JY: Supervision, Writing &#x2013; review &amp; editing. YH: Writing &#x2013; review &amp; editing, Supervision. YS: Supervision, Writing &#x2013; review &amp; editing. SL: Supervision, Formal analysis, Writing &#x2013; review &amp; editing. JC: Writing &#x2013; review &amp; editing, Funding acquisition, Formal analysis, Writing &#x2013; original draft, Conceptualization, Supervision.</p></sec>
<ack>
<title>Acknowledgments</title>
<p>The authors gratefully acknowledge Mr. Quan Chen and Mr. Zhen Li from the National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention (Chinese Center for Tropical Diseases Research), for their valuable assistance with the experiments.</p>
</ack>
<sec id="s9" 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="s10" 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="s11" 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="s12" 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.2026.1766930/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fimmu.2026.1766930/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="DataSheet1.pdf" id="SF1" mimetype="application/pdf"/>
<supplementary-material xlink:href="Image1.tif" id="SF2" mimetype="image/tiff"/>
<supplementary-material xlink:href="Table1.xlsx" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"/>
<supplementary-material xlink:href="Table2.xlsx" id="SM2" mimetype="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"/></sec>
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