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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>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fimmu.2025.1640603</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>Vinegar intake in patients undergoing immune checkpoint inhibitor therapy: food frequency questionnaire study</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name><surname>Ariizumi</surname><given-names>Hirotsugu</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>*</sup></xref>
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<name><surname>Shimazui</surname><given-names>Miyuki</given-names></name>
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<name><surname>Kaneki</surname><given-names>Mika</given-names></name>
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<name><surname>Mura</surname><given-names>Emiko</given-names></name>
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<name><surname>Suzuki</surname><given-names>Risako</given-names></name>
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<name><surname>Tsurui</surname><given-names>Toshiaki</given-names></name>
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<name><surname>Iriguchi</surname><given-names>Nana</given-names></name>
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<name><surname>Ishiguro</surname><given-names>Tomoyuki</given-names></name>
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<contrib contrib-type="author">
<name><surname>Hirasawa</surname><given-names>Yuya</given-names></name>
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<contrib contrib-type="author">
<name><surname>Shimokawa</surname><given-names>Masahiro</given-names></name>
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<name><surname>Ohkuma</surname><given-names>Ryotaro</given-names></name>
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<name><surname>Kubota</surname><given-names>Yutaro</given-names></name>
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<contrib contrib-type="author">
<name><surname>Horiike</surname><given-names>Atsushi</given-names></name>
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<name><surname>Wada</surname><given-names>Satoshi</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
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<aff id="aff1"><label>1</label><institution>Division of Medical Oncology, Department of Medicine, School of Medicine, Showa Medical University</institution>, <city>Tokyo</city>,&#xa0;<country country="jp">Japan</country></aff>
<aff id="aff2"><label>2</label><institution>Division of Nutrition, Showa Medical University Hospital</institution>, <city>Tokyo</city>,&#xa0;<country country="jp">Japan</country></aff>
<aff id="aff3"><label>3</label><institution>Department of Clinical Diagnostic Oncology, Clinical Research Institute for Clinical Pharmacology and Therapeutics, Showa Medical University</institution>, <city>Tokyo</city>,&#xa0;<country country="jp">Japan</country></aff>
<aff id="aff4"><label>4</label><institution>Department of Clinical Immuno Oncology, Clinical Research Institute for Clinical Pharmacology and Therapeutics, Showa Medical University</institution>, <city>Tokyo</city>,&#xa0;<country country="jp">Japan</country></aff>
<aff id="aff5"><label>5</label><institution>Division of Radiology, Department of Radiology, School of Medicine, Showa Medical University</institution>, <city>Tokyo</city>,&#xa0;<country country="jp">Japan</country></aff>
<author-notes>
<corresp id="c001"><label>*</label>Correspondence: Hirotsugu Ariizumi, <email xlink:href="mailto:ariizumi@med.showa-u.ac.jp">ariizumi@med.showa-u.ac.jp</email></corresp>
</author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2025-12-11">
<day>11</day>
<month>12</month>
<year>2025</year>
</pub-date>
<pub-date publication-format="electronic" date-type="collection">
<year>2025</year>
</pub-date>
<volume>16</volume>
<elocation-id>1640603</elocation-id>
<history>
<date date-type="received">
<day>03</day>
<month>06</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>24</day>
<month>11</month>
<year>2025</year>
</date>
<date date-type="rev-recd">
<day>23</day>
<month>11</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2025 Ariizumi, Shimazui, Ogawa, Kaneki, Saito, Mura, Suzuki, Tsurui, Iriguchi, Ishiguro, Hirasawa, Shimokawa, Ohkuma, Kubota, Horiike, Wada, Yoshimura, Murakami and Tsunoda.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Ariizumi, Shimazui, Ogawa, Kaneki, Saito, Mura, Suzuki, Tsurui, Iriguchi, Ishiguro, Hirasawa, Shimokawa, Ohkuma, Kubota, Horiike, Wada, Yoshimura, Murakami and Tsunoda</copyright-holder>
<license>
<ali:license_ref start_date="2025-12-11">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>Introduction</title>
<p>The gut microbiome is increasingly recognized as a key modulator of immune checkpoint inhibitor (ICI) efficacy. Dietary factors, particularly fibers, may influence the microbiome and thus affect the ICI response. Although Western studies have suggested a link between high fiber intake and better outcomes, this relationship remains unclear in Japanese populations with different dietary habits. This study investigated dietary components associated with ICI response in Japanese patients with cancer.</p>
</sec>
<sec>
<title>Methods</title>
<p>In total, 32 patients with carcinomas treated with ICIs were enrolled. Nutritional customs before ICI infusion were analyzed using a food frequency questionnaire.</p>
</sec>
<sec>
<title>Results</title>
<p>Among the 331 dietary items, only vinegar (acetic acid) intake showed an independent association with the treatment response. Higher vinegar consumption correlated with significantly lower odds of nonresponse (P = 0.017). In contrast, total and fermentable dietary fiber intake showed no significant association with ICI efficacy or survival outcomes.</p>
</sec>
<sec>
<title>Conclusions</title>
<p>Higher vinegar intake is associated with better ICI response in Japanese patients, whereas fiber has a limited effect. Thus, tailored dietary strategies are needed for optimal outcomes.</p>
</sec>
</abstract>
<kwd-group>
<kwd>vinegar</kwd>
<kwd>acetic acid</kwd>
<kwd>immune checkpoint inhibitor</kwd>
<kwd>nutrition</kwd>
<kwd>food frequency questionnaire</kwd>
<kwd>dietary fiber</kwd>
</kwd-group>
<funding-group>
<funding-statement>The author(s) declared financial support was received for this work and/or its publication. This study used funding from scholarship donations, including from the Taiho Pharmaceutical Corporation Ltd. The funder was not involved in the study design, collection, analysis, interpretation of data, the writing of this article or the decision to submit it for publication.</funding-statement>
</funding-group>
<counts>
<fig-count count="7"/>
<table-count count="3"/>
<equation-count count="0"/>
<ref-count count="50"/>
<page-count count="12"/>
<word-count count="5826"/>
</counts>
<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>The efficacy of immune checkpoint inhibitors (ICIs) has been linked to the gut microbiota. Landmark studies in mice and humans have demonstrated that certain commensal bacteria could enhance antitumor immunity and improve ICI response (<xref ref-type="bibr" rid="B1">1</xref>, <xref ref-type="bibr" rid="B2">2</xref>). Conversely, microbiome disruption (e.g., by antibiotics) before or during ICI therapy is associated with significantly worse survival outcomes in studies from our institute and others (<xref ref-type="bibr" rid="B3">3</xref>, <xref ref-type="bibr" rid="B4">4</xref>). Previously, we had demonstrated that the overall survival of ICI-treated patients with antibiotics decreased by 70% compared with that of patients without antibiotics (<xref ref-type="bibr" rid="B4">4</xref>). Furthermore, <italic>Turicibacter</italic> and <italic>Acidaminococcus</italic> are the key microbiomes that help determine the clinical efficacy of ICI therapy in study from our institute (<xref ref-type="bibr" rid="B5">5</xref>). A recent clinical study in the USA reported that a high dietary fiber intake was correlated with prolonged survival in patients with melanoma receiving ICIs (<xref ref-type="bibr" rid="B6">6</xref>). High-fiber diets will promote a diverse (<xref ref-type="bibr" rid="B7">7</xref>), beneficial gut microbiome that can augment anticancer immune response (<xref ref-type="bibr" rid="B8">8</xref>), despite some opposing views (<xref ref-type="bibr" rid="B9">9</xref>, <xref ref-type="bibr" rid="B10">10</xref>).</p>
<p>However, the gut microbiota composition varies greatly across different populations. Notably, the intestinal flora of Japanese individuals&#x2014;characterized by a high abundance of <italic>Bifidobacteria</italic>&#x2014;differs substantially from that of Western populations (<xref ref-type="bibr" rid="B11">11</xref>). Dietary habits and nutritional guidelines also differ by region (<xref ref-type="bibr" rid="B12">12</xref>), which may influence the microbiota and, in turn, ICI outcomes (<xref ref-type="bibr" rid="B13">13</xref>). To date, no study has specifically examined how contemporary Japanese diet patterns might affect the efficacy of ICI therapy. Given these gaps, the present study aimed to investigate whether pretreatment dietary habits in a Japanese patient cohort are associated with the clinical outcomes of ICI therapy. In particular, this study focused on dietary fiber intake&#x2014;previously identified as beneficial in Western studies&#x2014;and other diet components prevalent in Japan to identify any &#x201c;favorite foods&#x201d; that correlate with better ICI response in the context of Japanese food customs.</p>
</sec>
<sec id="s2" sec-type="materials|methods">
<label>2</label>
<title>Material and methods</title>
<sec id="s2_1">
<label>2.1</label>
<title>Study design and patients</title>
<p>A single-center prospective cohort study was conducted as an exploratory pilot study at Showa University Hospital (Tokyo, Japan) between December 2021 and June 2024. Patients with advanced cancers who were scheduled to receive their first ICI therapy were enrolled. Those who had prior cytotoxic chemotherapy were considered. A total of 50 patients provided consent, of whom 32 (men, n = 24; women, n = 8) completed the dietary survey and were included in the analysis. The median age was 71.5 (range, 59&#x2013;86) years. Cancer types included esophageal carcinoma (n = 13), gastric carcinoma (n = 9), lung carcinoma (n = 4), duodenal carcinoma (n = 1), malignant mesothelioma (n = 1), uterine corpus carcinoma (n = 3), and Merkel cell carcinoma (n = 1) (<xref ref-type="table" rid="T1"><bold>Table&#xa0;1</bold></xref>). According to the standard regimens covered by public medical insurance, all patients received an ICI, either as monotherapy or in combination with other agents. Treatments included nivolumab (n = 16, including 1 patient with nivolumab + ipilimumab combination), pembrolizumab (n = 15), and avelumab (n = 1). Of the 32 patients, 24 received ICI therapy in combination with cytotoxic or targeted agents.</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Characteristics of the patients (n = 32).</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" colspan="2" align="left" style="">Sex</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left" style="">&#x2003;Male</td>
<td valign="middle" align="center" style="">24</td>
</tr>
<tr>
<td valign="middle" align="left" style="">&#x2003;Female</td>
<td valign="middle" align="center" style="">8</td>
</tr>
<tr>
<td valign="middle" align="left" style="">Age median (range)</td>
<td valign="middle" align="center" style="">71.5 (59&#x2013;86)</td>
</tr>
<tr>
<th valign="middle" colspan="2" align="left" style="">Original cancer</th>
</tr>
<tr>
<td valign="middle" align="left" style="">&#x2003;Esophageal carcinoma</td>
<td valign="middle" align="center" style="">13</td>
</tr>
<tr>
<td valign="middle" align="left" style="">&#x2003;Lung carcinoma</td>
<td valign="middle" align="center" style="">4</td>
</tr>
<tr>
<td valign="middle" align="left" style="">&#x2003;Gastric carcinoma</td>
<td valign="middle" align="center" style="">9</td>
</tr>
<tr>
<td valign="middle" align="left" style="">&#x2003;Duodenum carcinoma</td>
<td valign="middle" align="center" style="">1</td>
</tr>
<tr>
<td valign="middle" align="left" style="">&#x2003;Malignant mesothelioma</td>
<td valign="middle" align="center" style="">1</td>
</tr>
<tr>
<td valign="middle" align="left" style="">&#x2003;Corpus of the uterus</td>
<td valign="middle" align="center" style="">3</td>
</tr>
<tr>
<td valign="middle" align="left" style="">&#x2003;Merkel cell carcinoma</td>
<td valign="middle" align="center" style="">1</td>
</tr>
<tr>
<th valign="middle" colspan="2" align="left" style="">Regimen of ICI therapy</th>
</tr>
<tr>
<td valign="middle" align="left" style="">&#x2003;Nivolumab-containing regimens</td>
<td valign="middle" align="center" style="">16</td>
</tr>
<tr>
<td valign="middle" align="left" style="">&#x2003;&#x2003;Nivolumab monotherapy</td>
<td valign="middle" align="center" style="">1</td>
</tr>
<tr>
<td valign="middle" align="left" style="">&#x2003;&#x2003;Nivolumab + SOX</td>
<td valign="middle" align="center" style="">7</td>
</tr>
<tr>
<td valign="middle" align="left" style="">&#x2003;&#x2003;Nivolumab + FOLFOX</td>
<td valign="middle" align="center" style="">4</td>
</tr>
<tr>
<td valign="middle" align="left" style="">&#x2003;&#x2003;Nivolumab + ipilimumab</td>
<td valign="middle" align="center" style="">4</td>
</tr>
<tr>
<td valign="middle" align="left" style="">&#x2003;Pembrolizumab-containing regimens</td>
<td valign="middle" align="center" style="">15</td>
</tr>
<tr>
<td valign="middle" align="left" style="">&#x2003;&#x2003;Pembrolizumab monotherapy</td>
<td valign="middle" align="center" style="">2</td>
</tr>
<tr>
<td valign="middle" align="left" style="">&#x2003;&#x2003;Pembrolizumab + 5FU + cisplatin</td>
<td valign="middle" align="center" style="">9</td>
</tr>
<tr>
<td valign="middle" align="left" style="">&#x2003;&#x2003;Pembrolizumab + Lenvatinib</td>
<td valign="middle" align="center" style="">3</td>
</tr>
<tr>
<td valign="middle" align="left" style="">&#x2003;&#x2003;Pembrolizumab + pemetrexed + carboplatin</td>
<td valign="middle" align="center" style="">1</td>
</tr>
<tr>
<td valign="middle" align="left" style="">&#x2003;Avelumab monotherapy</td>
<td valign="middle" align="center" style="">1</td>
</tr>
<tr>
<th valign="middle" colspan="2" align="left" style="">Max response of ICI therapy</th>
</tr>
<tr>
<td valign="middle" align="left" style="">&#x2003;CR</td>
<td valign="middle" align="center" style="">3</td>
</tr>
<tr>
<td valign="middle" align="left" style="">&#x2003;PR</td>
<td valign="middle" align="center" style="">8</td>
</tr>
<tr>
<td valign="middle" align="left" style="">&#x2003;SD</td>
<td valign="middle" align="center" style="">13</td>
</tr>
<tr>
<td valign="middle" align="left" style="">&#x2003;PD</td>
<td valign="middle" align="center" style="">8</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>ICI, immune checkpoint inhibitor; SOX regimen consists of S1 and oxaliplatin; FOLFOX regimen consists of 5FU, levofolinate, and oxaliplatin.CR, complete response; PR, partial response; SD, stable disease; PD, progressive disease.</p></fn>
</table-wrap-foot>
</table-wrap>
<p>This study was conducted in accordance with the guidelines of the Declaration of Helsinki and was approved by the Ethics Committee of Showa University (Approval no. 21-064-A). Informed consent was obtained from all patients involved in the study.</p>
</sec>
<sec id="s2_2">
<label>2.2</label>
<title>Dietary assessment</title>
<p>Each patient&#x2019;s habitual diet before ICI initiation was assessed using a validated, self-administered food frequency questionnaire (FFQ) developed for the Japan Public Health Center-based Prospective Study (<xref ref-type="bibr" rid="B14">14</xref>&#x2013;<xref ref-type="bibr" rid="B16">16</xref>). This FFQ (185 questions long-form version, sold by Educational Software Co. Ltd., Hachiouji, Japan) was administered by nationally registered dietitians, and it captured the intake frequency and portion size of various foods in the previous year. Nutrient intakes were calculated using the 7th edition of the Standard Tables of Food Composition in Japan 2015. In total, 331 dietary variables were obtained for each patient, including total food weight, energy and nutrient intake, and specific food group amounts.</p>
<p>Notably, the FFQ&#x2019;s default fiber calculations are based on the Prosky-modified method (AOAC991.42, AOAC 993.19, and AOAC985.29), which measures &#x201c;dietary fiber&#x201d; as mostly nondigestible polysaccharides but does not account for some fermentable components such as resistant starch, low-molecular-weight soluble fibers, and nondigestible oligosaccharides (<xref ref-type="bibr" rid="B17">17</xref>). To estimate the intake of the major fermentable fibers that were undercounted using the 2015 method, a <italic>post hoc</italic> calculation was performed. Specifically, the total dietary fiber from staple grain foods (rice, bread, noodles, and potatoes) was summed using updated values from the 8<sup>th</sup> edition Standard Tables of Food Composition in Japan 2020, which adopted AOAC 2011.25 method (<xref ref-type="bibr" rid="B17">17</xref>). This allowed the inclusion of resistant starch and other fermentable dietary fiber fractions (e.g., arabinoxylan and &#x3b2;-glucan) predominantly present in grains (<xref ref-type="bibr" rid="B18">18</xref>&#x2013;<xref ref-type="bibr" rid="B21">21</xref>). The English names of the Japanese food items were according to the English version of the 2015 Standard Tables of Food Composition in Japan.</p>
</sec>
<sec id="s2_3">
<label>2.3</label>
<title>Treatment response evaluation</title>
<p>The tumor response was assessed using the Response Evaluation Criteria in Solid Tumors (RECIST) version 1.1. The best objective response for each patient was categorized as complete response (CR), partial response (PR), stable disease (SD), or progressive disease (PD). For statistical analysis, the objective response rate (ORR) was defined as the proportion of patients achieving CR or PR versus nonresponse as SD or PD. The disease control rate (DCR) was defined as the proportion of patients achieving CR/PR/SD (disease control) versus PD. Immune-related adverse events were graded according to the Common Terminology Criteria for Adverse Events version 5.0.</p>
</sec>
<sec id="s2_4">
<label>2.4</label>
<title>Survival outcomes</title>
<p>Overall survival (OS) was defined as the time from the first ICI administration to death from any cause (or last follow-up). Progression-free survival (PFS) was defined as the time from ICI therapy initiation to radiographic or clinical disease progression, death, or last follow-up, whichever occurred first. The data cutoff for survival analysis was October 2024.</p>
</sec>
<sec id="s2_5">
<label>2.5</label>
<title>Statistical analysis</title>
<p>Flowchart of statistical analysis process of this study is shown in <xref ref-type="fig" rid="f1"><bold>Figure&#xa0;1</bold></xref>. Complete data were available without missing data for all variables in the 32 patients. All analyses were performed using R software (version 4.3.1; the R Foundation for Statistical Computing). The 331 dietary items (variables) were first screened for their association with ICI response. After the variables were normalized into z-scores (as a mean of 0 and a standard deviation of 1), univariate logistic regression (using binary logit model) was applied for each variable with &#x201c;non-objective response&#x201d; (SD/PD <italic>vs</italic> CR/PR) and &#x201c;non-disease control&#x201d; (PD <italic>vs</italic> CR/PR/SD) as the outcome. To validate, separate univariate logistic regression (using binary logit model) was also applied for each variable, which was adjusted for energy (per kilo calory) and converted to z-score. Variables with P &lt; 0.10 in the univariate analyses were considered candidates. To avoid multicollinearity among closely related foods/nutrients, hierarchical cluster analysis on the 331 variables was conducted using Ward&#x2019;s method and the squared Euclidean distance using the &#x201c;ComplexHeatmap&#x201d; package version 2.18.0 in R (<xref ref-type="bibr" rid="B22">22</xref>). If two candidate variables clustered closely (within 10 items of each other on the dendrogram), only one representative was retained from that cluster. The remaining candidates were converted to z-scores and entered into regression model using stepwise backward selection to identify the independent dietary predictors of &#x201c;non-objective response&#x201d; to identify the independent dietary predictors of non-objective response. For the survival endpoints (OS and PFS), Kaplan&#x2013;Meier curves were generated and compared by the log-rank test. Hazard ratios (HRs) were estimated using Cox proportional hazards models. Exploratory analyses were also performed using receiver operating characteristic (ROC) curves to determine the optimal intake cutoff values (e.g., for fiber or acetic acid) to stratify the outcomes. All tests were two-sided, and P &lt; 0.05 was considered significant.</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Statistical analysis flowchart. FFQ, food frequency questionnaire; ROC, receiver operating characteristicc (ROC) curves.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-16-1640603-g001.tif">
<alt-text content-type="machine-generated">Flowchart illustrating the analysis process of consenting patients (n = 50). Eighteen patients were not surveyed, while thirty-two underwent FFQ. The analyses included univariate and multivariable logistic regression, hierarchical clustering for multicollinearity reduction, ROC analysis for cutoff determination, and log-rank analysis, all focused on FFQ items and dietary fibers concerning therapy response and survival.</alt-text>
</graphic></fig>
</sec>
</sec>
<sec id="s3" sec-type="results">
<label>3</label>
<title>Results</title>
<sec id="s3_1">
<label>3.1</label>
<title>Patient characteristics and survival</title>
<p>The baseline characteristics of the 32 patients are summarized in <xref ref-type="table" rid="T1"><bold>Table&#xa0;1</bold></xref>. In brief, the cohort predominantly included men (75%) with a median age of 71.5 years. At a median follow-up of 16.4 months (range, 13&#x2013;1008 days), the median OS was 772 days, and the median PFS was 333 days (<xref ref-type="fig" rid="f2"><bold>Figures&#xa0;2A, B</bold></xref>). The best overall responses to ICI therapy were CR in 3 patients, PR in 8, SD in 13, and PD in 8 patients (<xref ref-type="table" rid="T1"><bold>Table&#xa0;1</bold></xref>). The ORR (CR + PR) was 34.4%, and the DCR (CR + PR + SD) was 75.0%.</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Kaplan&#x2013;Meier curve of overall survival <bold>(A)</bold> and progression-free survival <bold>(B)</bold> of all analyzed patients (n = 32).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-16-1640603-g002.tif">
<alt-text content-type="machine-generated">Kaplan-Meier survival curves show overall survival (A) and progression-free survival (B) probabilities over 1000 days. Both graphs plot probability on the y-axis and time in days on the x-axis, with numbers at risk indicated below.</alt-text>
</graphic></fig>
</sec>
<sec id="s3_2">
<label>3.2</label>
<title>Dietary factors associated with ICI response</title>
<p>Of the 331 dietary items analyzed, 13 items showed a nominal association with objective response in the univariate logistic regression (P &lt; 0.10), including 3 items (mayonnaise, bacon, and acetic acid (vinegar), P &lt; 0.05) for higher odds of &#x201c;non-objective response&#x201d; with low intake (<xref ref-type="table" rid="T2"><bold>Table&#xa0;2</bold></xref>, <xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Table S1</bold></xref>). Seven items showed a nominal association with disease control (P &lt; 0.1, <xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Table S2</bold></xref>). No other food or nutrient met the screening criterion, including total dietary fiber (&#x201c;non-objective response&#x201d;, P = 0.44; &#x201c;non-disease control&#x201d;, P = 0.85) or fiber subtypes (water-soluble or insoluble; P &gt; 0.3) (<xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Table S1, S2</bold></xref>).</p>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Odds ratios from the univariate logistic regression analyses of food or nutrition items (converted into z-scores) from the food frequency questionnaire (FFQ), including P &lt; 0.1 and dietary fibers, for the risk of non-objective response, ranked according to P value.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left">Food or nutrition items</th>
<th valign="middle" align="center">Odds ratio</th>
<th valign="middle" align="center">95% CI</th>
<th valign="middle" align="center">P value</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">Mayonnaise</td>
<td valign="middle" align="right">0.327</td>
<td valign="middle" align="right">0.110&#x2013;0.750</td>
<td valign="middle" align="right">0.018</td>
</tr>
<tr>
<td valign="middle" align="left">Bacon</td>
<td valign="middle" align="right">0.265</td>
<td valign="middle" align="right">0.073&#x2013;0.689</td>
<td valign="middle" align="right">0.019</td>
</tr>
<tr>
<td valign="middle" align="left">Acetic acid</td>
<td valign="middle" align="right">0.352</td>
<td valign="middle" align="right">0.123&#x2013;0.798</td>
<td valign="middle" align="right">0.024</td>
</tr>
<tr>
<td valign="middle" align="left">Sauce</td>
<td valign="middle" align="right">0.393</td>
<td valign="middle" align="right">0.126&#x2013;0.889</td>
<td valign="middle" align="right">0.050</td>
</tr>
<tr>
<td valign="middle" align="left">Hijiki seaweed</td>
<td valign="middle" align="right">0.381</td>
<td valign="middle" align="right">0.117&#x2013;0.886</td>
<td valign="middle" align="right">0.056</td>
</tr>
<tr>
<td valign="middle" align="left">18:1 n-9 oleic acid</td>
<td valign="middle" align="right">0.454</td>
<td valign="middle" align="right">0.173&#x2013;0.983</td>
<td valign="middle" align="right">0.066</td>
</tr>
<tr>
<td valign="middle" align="left">Salad dressing</td>
<td valign="middle" align="right">0.479</td>
<td valign="middle" align="right">0.201&#x2013;1.026</td>
<td valign="middle" align="right">0.070</td>
</tr>
<tr>
<td valign="middle" align="left">Margarine</td>
<td valign="middle" align="right">0.321</td>
<td valign="middle" align="right">0.064&#x2013;0.853</td>
<td valign="middle" align="right">0.075</td>
</tr>
<tr>
<td valign="middle" align="left">Stir-fried chicken</td>
<td valign="middle" align="right">0.382</td>
<td valign="middle" align="right">0.108&#x2013;0.924</td>
<td valign="middle" align="right">0.078</td>
</tr>
<tr>
<td valign="middle" align="left">Soba (buckwheat noodles)</td>
<td valign="middle" align="right">5.083</td>
<td valign="middle" align="right">1.234&#x2013;45.405</td>
<td valign="middle" align="right">0.079</td>
</tr>
<tr>
<td valign="middle" align="left">Wiener sausage</td>
<td valign="middle" align="right">0.512</td>
<td valign="middle" align="right">0.225&#x2013;1.072</td>
<td valign="middle" align="right">0.085</td>
</tr>
<tr>
<td valign="middle" align="left">Pork soup</td>
<td valign="middle" align="right">0.297</td>
<td valign="middle" align="right">0.054&#x2013;0.848</td>
<td valign="middle" align="right">0.086</td>
</tr>
<tr>
<td valign="middle" align="left">18:1 n-7 cis-vaccenic acid</td>
<td valign="middle" align="right">0.478</td>
<td valign="middle" align="right">0.181&#x2013;1.032</td>
<td valign="middle" align="right">0.086</td>
</tr>
<tr>
<td valign="middle" align="left">Water-soluble dietary fiber</td>
<td valign="middle" align="right">1.408</td>
<td valign="middle" align="right">0.662&#x2013;3.359</td>
<td valign="middle" align="right">0.396</td>
</tr>
<tr>
<td valign="middle" align="left">Total amount of dietary fiber</td>
<td valign="middle" align="right">1.364</td>
<td valign="middle" align="right">0.642&#x2013;3.269</td>
<td valign="middle" align="right">0.441</td>
</tr>
<tr>
<td valign="middle" align="left">Insoluble dietary fiber</td>
<td valign="middle" align="right">1.339</td>
<td valign="middle" align="right">0.631&#x2013;3.234</td>
<td valign="middle" align="right">0.469</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Results of the 331 food or nutrition items from the FFQ are listed in  <xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Table S1</bold></xref>.</p></fn>
</table-wrap-foot>
</table-wrap>
<p><xref ref-type="fig" rid="f3"><bold>Figure&#xa0;3</bold></xref> illustrates the clustering of dietary variables. Of the 13 candidate items for &#x201c;non-objective response&#x201d;, 11 items were closely clustered (4 subclusters: mayonnaise, acetic acid, sauce, hijiki seaweed, and salad dressing; margarine and wiener sausage; stir-fried chicken and pork soup; 18:1 n-9 oleic acid and 18:1 n-7 cis-vaccenic acid), suggesting that these items may provide overlapping information. Half of the patients had no bacon intake, indicating a skewed distribution. Therefore, 9 items (to avoid multicollinearity) and bacon (due to many zero values) were excluded. In the multivariable analysis with stepwise backward selection included 5 items (acetic acid, 18:1 n-9 oleic acid, margarine, stir-fried chicken, and buckwheat noodles), only acetic acid remained as a variable for &#x201c;non-objective response&#x201d;. Total food intake (total grams), total dietary fiber, and acetic acid intake were included as predictors in the multivariable logistic model. This model showed a significant overall association (chi-squared test, P = 0.03) with the risk of ICI &#x201c;non-objective response.&#x201d; Importantly, acetic acid intake emerged as an independent predictor: patients with higher vinegar consumption had significantly lower odds of &#x201c;non-objective response&#x201d; (P = 0.017) (<xref ref-type="table" rid="T3"><bold>Table&#xa0;3</bold></xref>). In other words, even a modest increase in daily vinegar intake was associated with a markedly improved likelihood of achieving an objective response, independent of fiber intake and total food amount.</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Heatmap of 331 food or nutrition items. Quantity of the items were standardized as z-score (mean = 0.0, standard division = 1.0), and illustrates by the color. The items and cases were clustered by the squared Euclidean distance and Ward&#x2019;s method, showing as dendrograms. Acetic acid (red colored) and mayonnaise were closely clustered. This figure was drawn using the &#x201c;ComplexHeatmap&#x201d; package version 2.18.0 in R.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-16-1640603-g003.tif">
<alt-text content-type="machine-generated">Heatmap displaying z-scores of food or nutrition items across cases. The color gradient ranges from blue (low, -4) to red (high, 4). A dendrogram indicates clustering. A side legend categorizes effects as CR, PR, SD, or PD with respective colors red, orange, green, and blue.</alt-text>
</graphic></fig>
<table-wrap id="T3" position="float">
<label>Table&#xa0;3</label>
<caption>
<p>Result of the multivariable logistic regression analysis for the risk of a non-objective response (z-score normalized variables).</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left">Food or nutrition items</th>
<th valign="middle" align="center">Odds</th>
<th valign="middle" align="center">95% CI</th>
<th valign="middle" align="center">P value</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">(Intercept)</td>
<td valign="middle" align="right">2.140</td>
<td valign="middle" align="right">0.9070&#x2013;5.060</td>
<td valign="middle" align="right">0.0823</td>
</tr>
<tr>
<td valign="middle" align="left">Total amount of dietary fiber</td>
<td valign="middle" align="right">2.170</td>
<td valign="middle" align="right">0.4940&#x2013;9.500</td>
<td valign="middle" align="right">0.3050</td>
</tr>
<tr>
<td valign="middle" align="left">Gross weight</td>
<td valign="middle" align="right">0.907</td>
<td valign="middle" align="right">0.2330&#x2013;3.530</td>
<td valign="middle" align="right">0.8880</td>
</tr>
<tr>
<td valign="middle" align="left">Acetic acid</td>
<td valign="middle" align="right">0.276</td>
<td valign="middle" align="right">0.0952&#x2013;0.798</td>
<td valign="middle" align="right">0.0174</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Likelihood-ratio chi-squared test (P = 0.03183); Akaike information criterion = 40.37.</p></fn>
</table-wrap-foot>
</table-wrap>
<p>Of 7 candidate items for &#x201c;non-disease control&#x201d;, 3 items were excluded due to clustering (2 subclusters: 16:1 palmitoleic acid and 17:1 heptadecenoic acid; meat, 18:1_n-7 cis-vaccenic acid, and 18:2_n-9 oleic acid), 4 items (taro, 16:1palmitoleic acid, 18:1 n-9 oleic acid, and wiener sausage) were excluded with stepwise backward selection. No item  remained as a variable for &#x201c;non-disease control&#x201d;.</p>
<p>Separate univariate logistic regression analyses of the 331 items adjusted for energy showed that 35 items including acetic acid and fatty acids were nominally associated with &#x201c;non-objective response&#x201d; (<xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Table S3</bold></xref>), and that 22 items were nominally associated with &#x201c;non-disease control&#x201d; (<xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Table S4</bold></xref>).  In the multivariate analysis, no items adjusted for energy were significantly associated with &#x201c;non-objective response&#x201d; independently of acetic acid.</p>
<p>Stratified analyses of univariate logistic regression among gastric and esophageal patients (n = 22) showed that no items were significantly associated with &#x201c;non-objective response&#x201d; nor &#x201c;non-disease control&#x201d; (P &#x2265; 0.05, data not shown).</p>
</sec>
<sec id="s3_3">
<label>3.3</label>
<title>Dietary fiber intake and outcomes</title>
<p>In our cohort, the median total dietary fiber intake was 8.4 g/day (mean 13.0 &#xb1; standard deviation 9.5 g/day). Only 8 of 32 patients (25%) took &#x2265;20 g/day of fiber (a threshold corresponding to that used in the Western study (<xref ref-type="bibr" rid="B6">6</xref>). The outcomes were compared between patients with high and low-fiber intake. No significant difference in survival was noted: the median OS was 772 days in the &#x2265;20 g/day group compared with 659 days in the &lt;20 g/day group (log-rank, P = 0.48), and the median PFS was 293 <italic>vs</italic>. 340 days (P = 0.34). A lower fiber cutoff (11.1 g/day) determined by ROC analysis for objective response was also explored, which roughly corresponded to the median fiber intake in a large Japanese cohort (<xref ref-type="bibr" rid="B23">23</xref>). Similarly, the OS did not show a significant difference (median, 772 days for &#x2265;11.1 g <italic>vs</italic>. 889 days for &lt;11.1 g, P = 0.80), nor did PFS (297 <italic>vs</italic>. 492 days, P = 0.20) (<xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Figure S1</bold></xref>, <xref ref-type="supplementary-material" rid="SM1"><bold>S2</bold></xref>). Consistently, when fiber intake was analyzed as a continuous variable, no association with OS or PFS was observed. Furthermore, patients who responded to ICI (CR/PR) had similar fiber intake (mean, 12&#x2013;15 g/day) as those who did not respond (SD/PD) (<xref ref-type="fig" rid="f4"><bold>Figure&#xa0;4</bold></xref>). No significant differences in the mean total fiber intake were found among the response groups (CR <italic>vs</italic> PR <italic>vs</italic> SD <italic>vs</italic> PD, P = 0.82). The subanalyzes of fiber subtypes did not show an association with either soluble (2.5&#x2013;3.5 g/day in all groups, P = 0.88) or insoluble (7&#x2013;11 g/day, P = 0.78) fiber on ICI response.</p>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>Total amount of dietary fiber intake (g/day) according to immune checkpoint inhibitor maximal response (complete response (CR)/partial response (PR)/stable disease (SD)/progressive disease (PD)) in clinical course.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-16-1640603-g004.tif">
<alt-text content-type="machine-generated">Bar chart showing total dietary fiber intake in grams per day for four categories: CR, PR, SD, and PD. CR and SD have the highest average intake, whereas PR has the lowest. Error bars indicate variability within each category.</alt-text>
</graphic></fig>
<p>Then, the subset of fiber most relevant to colonic fermentation (i.e., microbiota-accessible carbohydrates) was examined. The analysis using the estimated fermentable fiber from grains (averaged 10 g/day) similarly did not show a significant association with ICI response or survival. Patients who achieved &#x201c;objective response&#x201d; had comparable fermentable fiber intake to those with &#x201c;non-objective response&#x201d; (mean, 9.2 <italic>vs</italic> 11.1 g/day, P = 0.79 by the Mann&#x2013;Whitney test), and fermentable fiber was not a significant predictor of &#x201c;objective response&#x201d; (univariate odds ratio, 1.08, P = 0.43) or disease control (odds ratio, 0.82, P = 0.34). The use of an optimal cutoff (11.0 g/day) for fermentable fiber did not stratify OS (median, 645 for &#x2265; 11.0 g/day <italic>vs</italic> 889 days for &lt; 11.0 g/day, P = 0.54) or PFS (393 <italic>vs</italic> 251 days, P = 0.45). In summary, in this Japanese cohort, dietary fiber intake&#x2014;whether total or fermentable&#x2014;showed no clear relationship with ICI efficacy or patient survival.</p>
</sec>
<sec id="s3_4">
<label>3.4</label>
<title>Acetic acid (vinegar) intake and outcomes</title>
<p>Acetic acid intake from the diet (primarily from vinegar-containing foods) varied widely among patients, with a median of 0.055 g/day (interquartile range, 0.011&#x2013;0.100 g/day) and a maximum of 0.222 g/day. Notably, patients who responded to ICI therapy had significantly higher vinegar intake than non-responders (acetic acid intake, 0.107 &#xb1; 0.070 g/day for &#x201c;objective response&#x201d; <italic>vs</italic> 0.048 &#xb1; 0.050 g/day for &#x201c;non-objective response&#x201d;; P = 0.037 by the Mann&#x2013;Whitney test). This nearly twofold difference is illustrated in <xref ref-type="fig" rid="f5"><bold>Figure&#xa0;5</bold></xref>. When stratified by response category, median vinegar intake tended to be the highest in the CR group and the lowest in the SD group; however, the differences among the four groups did not reach significance (P = 0.17 by the Kruskal&#x2013;Wallis test). Using ROC analysis, an optimal cutoff of 0.051 g/day of acetic acid was identified for distinguishing objective responders from non-objective responders (<xref ref-type="fig" rid="f6"><bold>Figure&#xa0;6</bold></xref>). Then, the survival outcomes were compared between patients with baseline vinegar intake &#x2265;0.05 g/day (n = 19) and those with &lt;0.05 g/day (n = 13). The high vinegar intake group showed a trend toward longer PFS: the median PFS was 492 days in patients consuming &#x2265;0.05 g compared with 151 days in those consuming less (P = 0.093) (<xref ref-type="fig" rid="f7"><bold>Figure&#xa0;7</bold></xref>). Although the PFS difference did not reach the 5% significance level, the HR for progression in the high vinegar intake group was less than half that of the low vinegar intake group (HR 0.49, P = 0.10 in the univariate Cox analysis). No significant difference in OS was observed between the two groups (median OS, 899 <italic>vs</italic> 659 days, P = 0.50). In a Cox model, acetic acid intake as a continuous variable did not show a significant effect on OS or PFS (both P &gt; 0.5). Nevertheless, the overall pattern implies that intake of even relatively small amounts of vinegar from the diet might contribute to the improvement of tumor control and delayed disease progression under ICI therapy.</p>
<fig id="f5" position="float">
<label>Figure&#xa0;5</label>
<caption>
<p>Acetic acid intake (g/day) in immune checkpoint inhibitor (ICI) objective responder (complete response (CR) or partial response (PR)) <italic>vs</italic> non-objective responder (SD or PD). ICI responder had nearly twofold higher vinegar intake than non-responders (P = 0.037).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-16-1640603-g005.tif">
<alt-text content-type="machine-generated">Bar chart comparing acetic acid production in non-responders (SD/PD) and responders (CR/PR). The responder group shows higher acetic acid levels with larger error bars, indicating variability.</alt-text>
</graphic></fig>
<fig id="f6" position="float">
<label>Figure&#xa0;6</label>
<caption>
<p>Receiver operating characteristic curve for acetic acid and objective response, showing an optimal cutoff of 0.051 g/day.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-16-1640603-g006.tif">
<alt-text content-type="machine-generated">Receiver Operating Characteristic (ROC) curve with sensitivity on the y-axis and specificity on the x-axis. The curve steps upwards, peaking at (0.571, 0.909) with an annotation of 0.051. A diagonal line from (0,0) to (1,1) indicates random performance.</alt-text>
</graphic></fig>
<fig id="f7" position="float">
<label>Figure&#xa0;7</label>
<caption>
<p>Kaplan&#x2013;Meier curve of progression-free survival according to vinegar intake. The high vinegar intake group (&#x2265;0.05 g/day, n = 19) trended to longer immune checkpoint inhibitor effect than low intake group (&lt;0.05 g/day, n = 13), without significance (P = 0.093).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-16-1640603-g007.tif">
<alt-text content-type="machine-generated">Kaplan-Meier survival curve comparing progression-free survival (PFS) in days for two groups based on acetic acid intake. The black line represents less than 0.05 grams per day, while the red line shows intake of 0.05 grams or more per day. Probability decreases over time, with accompanying risk numbers for each group shown below the x-axis.</alt-text>
</graphic></fig>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<label>4</label>
<title>Discussion</title>
<p>To the best of our knowledge, this is the first study to identify a positive association between dietary vinegar intake and ICI therapeutic outcomes. In this Japanese patient cohort, higher consumption of vinegar (acetic acid) was associated with improved tumor response to ICIs, whereas dietary fiber intake showed no significant benefit. These findings highlight the importance of considering regional diet and microbiota differences when evaluating nutritional factors in cancer immunotherapy.</p>
<p>Our hierarchical cluster analysis showed no proximity between vinegar intake and fermented foods intake. This suggests that the effect of vinegar is not a confounding factor of general healthy nutritional behavior. The potential immunological effect of vinegar has only recently begun to gain attention (<xref ref-type="bibr" rid="B24">24</xref>). Vinegar has a long history as a folk remedy&#x2014;dating back to Hippocrates in ancient Greece&#x2014;being used to treat ailments and clean wounds (<xref ref-type="bibr" rid="B25">25</xref>, <xref ref-type="bibr" rid="B26">26</xref>). Contemporary studies are now validating some of the health benefits of vinegar, including its anti-inflammatory and metabolic effects (<xref ref-type="bibr" rid="B24">24</xref>, <xref ref-type="bibr" rid="B26">26</xref>). For example, a 2024 study demonstrated that hawthorn vinegar could enhance intestinal immunity and improve general health in an animal model (<xref ref-type="bibr" rid="B24">24</xref>). However, the mechanisms by which dietary vinegar might influence anticancer immunity are not fully understood. Broadly, two routes have been hypothesized: (1) indirect effects through modulation of the gut microbiota and its metabolites (<xref ref-type="bibr" rid="B25">25</xref>) and (2) direct systemic effects of absorbed acetate on host cells and signaling pathways (<xref ref-type="bibr" rid="B27">27</xref>, <xref ref-type="bibr" rid="B28">28</xref>).</p>
<p>1. Microbiota-mediated mechanisms: Short-chain fatty acids (SCFAs) produced by gut bacteria, such as acetate, can modulate immune cell function (<xref ref-type="bibr" rid="B29">29</xref>). Acetate, propionate, and butyrate serve as important microbial metabolites that influence both innate and adaptive immunity (<xref ref-type="bibr" rid="B13">13</xref>). In particular, acetate enhances IgA production in the colon and affects T-cell differentiation (<xref ref-type="bibr" rid="B30">30</xref>). Takeuchi et&#xa0;al. reported that increasing colonic acetate levels increased commensal-specific IgA responses and altered CD4<sup>+</sup> T-cell activity in mice (<xref ref-type="bibr" rid="B30">30</xref>). In patients with cancer on immunotherapy, Nomura et&#xa0;al. found that those with higher fecal concentrations of SCFAs (including acetic acid) had significantly longer PFS than those with low concentrations (<xref ref-type="bibr" rid="B31">31</xref>). Thus, acetate in the gut environment may contribute to antitumor immunity, for example, by promoting effector T cells or regulating inflammatory signals.</p>
<p>Could higher dietary intake of vinegar lead to increased colonic acetate levels? Theoretically, ingesting vinegar (acetic acid) might enrich acetate in the colon to fuel these immune-beneficial effects. However, physiological studies have indicated that orally consumed acetate is mostly absorbed in the upper gastrointestinal tract and may not reach the large intestine in substantial amounts (<xref ref-type="bibr" rid="B32">32</xref>&#x2013;<xref ref-type="bibr" rid="B35">35</xref>). Sugiyama et&#xa0;al. showed that acetate is rapidly absorbed in the stomach and jejunum (<xref ref-type="bibr" rid="B32">32</xref>). In a pig model, portal blood levels of acetic acid rose within 10 min of vinegar ingestion and nearly returned to baseline by 30 min, suggesting that little acetic acid survives to enter the colon (<xref ref-type="bibr" rid="B36">36</xref>). Thus, a direct increase of luminal acetate in the colon from drinking vinegar is unlikely. Nonetheless, vinegar could still indirectly affect the composition of the gut microbiota. Recently, Xia et&#xa0;al. reported that consuming traditional aged vinegar altered the gut microbiota in mice, notably increasing beneficial taxa such as Akkermansia (phylum Verrucomicrobia), and reduced intestinal inflammation (<xref ref-type="bibr" rid="B37">37</xref>). Another study found that supplementation with Monascus (red yeast) vinegar altered the gut microbiota profile in hyperlipidemic rats, accompanying improvements in lipid metabolism and inflammation (<xref ref-type="bibr" rid="B38">38</xref>). Vinegar&#x2019;s microbial effects were speculated to augment bacterial functions such as oxalate degradation (<xref ref-type="bibr" rid="B39">39</xref>). Despite the lack of concrete evidence, regular vinegar intake may subtly shift the gut microbiome toward a community that produces more endogenous acetate or other SCFAs, thereby indirectly bolstering antitumor immunity. Future studies should directly examine the gut microbiome changes in patients consuming vinegar.</p>
<p>2. Systemic mechanisms of vinegar (acetic acid): Acetate readily enters the circulation and can act on various host organs (<xref ref-type="bibr" rid="B27">27</xref>, <xref ref-type="bibr" rid="B28">28</xref>, <xref ref-type="bibr" rid="B40">40</xref>). Maslowski et&#xa0;al. (2009) provided a key insight by showing that acetate signaling promoted apoptosis of neutrophils and ameliorated colitis in mice through the GPR43 receptor (<xref ref-type="bibr" rid="B41">41</xref>). This indicates that circulating SCFAs can influence immune cell turnover and inflammation resolution. In humans, vinegar consumption confers metabolic benefits such as reducing blood pressure and improving glycemic control (<xref ref-type="bibr" rid="B26">26</xref>). A meta-analysis by Shahinfar et&#xa0;al. concluded that vinegar intake produces a dose-dependent reduction in systolic blood pressure (<xref ref-type="bibr" rid="B42">42</xref>). It was proposed that acetate suppresses the renin&#x2013;angiotensin system as demonstrated in spontaneously hypertensive rats (<xref ref-type="bibr" rid="B40">40</xref>). Acetate also activates AMP-activated protein kinase (AMPK) and PPAR&#x3b1;, leading to increased fatty acid oxidation and reduced body fat in mice (<xref ref-type="bibr" rid="B27">27</xref>, <xref ref-type="bibr" rid="B43">43</xref>). In the present study, higher vinegar intake might reflect a diet that includes more fermented or pickled products, which could be linked with an overall healthier metabolic profile (<xref ref-type="bibr" rid="B28">28</xref>), potentially supporting better immune function. Okura et&#xa0;al. (<xref ref-type="bibr" rid="B44">44</xref>) reported that feeding rats a type of brown rice vinegar enhanced their humoral immune responses (high serum levels of IgA and IgM). Although the exact pathways remain unclear, these findings collectively suggest that acetate can modulate immune and metabolic pathways systemically, independent of the gut microbiota. For cancer immunotherapy, systemic factors such as improved metabolic health or reduced inflammatory tone could translate into a more robust antitumor immune response (<xref ref-type="bibr" rid="B13">13</xref>). It is intriguing that mayonnaise (which contains vinegar and fatty acids) also showed a positive association with the ICI response in our univariate screening. One speculation is that SCFAs or other compounds present in these foods might subtly prime the immune system or tumor microenvironment to enhance the responsiveness to ICIs.</p>
<p>In contrast, the inefficacy of dietary fiber in our Japanese cohort prompts the consideration of population differences. Spencer et&#xa0;al. (<xref ref-type="bibr" rid="B6">6</xref>) reported that high fiber intake correlates with better ICI outcomes in Western populations, likely by enriching SCFA-producing gut bacteria (<xref ref-type="bibr" rid="B13">13</xref>). Why did we not see this in Japan? An obvious reason is that the fiber intake in our patients (median 8 g/day) was substantially lower than in those Western studies, where the median intake was &gt;20 g/day (<xref ref-type="bibr" rid="B45">45</xref>). Indeed, the majority of Japanese individuals consume less fiber than the Western-recommended levels. A large Japanese cohort study noted that 80% of the participants had fiber intake &lt;16 g/day (<xref ref-type="bibr" rid="B23">23</xref>). This general low-fiber diet could lead to a chronically different gut microbiota. Sonnenburg et&#xa0;al. (<xref ref-type="bibr" rid="B46">46</xref>) demonstrated that sustained low-fiber diets over multiple generations of mice caused the extinction of certain gut bacterial species, which could not be fully rescued even after reintroducing fiber. Extrapolating to humans, the contemporarily lower fiber intake in Japan (despite a vegetable-rich diet, the reliance on refined rice as a staple yields lower total fiber) might indicate that Japanese patients start with a gut microbiota of lower diversity and fewer fiber-fermenting bacteria. High microbiota diversity has shown a correlation with better ICI responses; thus, a low-diversity microbiome (as might result from chronically low fiber intake) could be less able to mediate fiber&#x2019;s benefits on immunity (<xref ref-type="bibr" rid="B47">47</xref>). In the present study, even patients who managed to consume &#x2265;20 g/day of fiber did not show improved outcomes, possibly because their microbiome was not primed to convert that fiber into beneficial metabolites. Another factor is the difference in the fiber definition and measurement. Until recently, Japanese food composition tables did not count resistant starch and some oligosaccharides as dietary fiber (<xref ref-type="bibr" rid="B17">17</xref>). Thus, a Japanese &#x201c;20 g&#x201d; of fiber may actually contain less fermentable substrate than an American &#x201c;20 g&#x201d; of fiber. We attempted to account for this by estimating the fermentable fiber but still found no association with the outcomes. It may be that once fiber intake is below a certain threshold (e.g., &lt;15 g/day), its influence on the microbiome and immunity is minimal. In summary, our findings indicate that simply increasing fiber intake did not yield the same immunotherapeutic benefit in a low-fiber&#x2013;adapted population. Instead, more comprehensive or long-term interventions, such as gradually boosting fiber over generations or directly supplementing beneficial microbes, might be required.</p>
<p>This study has several limitations. First, the sample size was relatively small (n = 32), which limits the statistical power, particularly for survival analyses. Age- and sex-based distribution of the study population was not representative of the broader cancer cohort, limiting generalizability of the results. Variables in multivariable logistic regression were screened using univariate logistic regression without multiple comparison correction. The findings in the presenting study should be interpreted as exploratory and preliminary with great caution. Future studies with larger, more diverse populations are needed to validate these preliminary findings. Second, dietary intake was assessed by FFQ, which is subject to recall bias and provides semiquantitative estimates. The FFQ has been validated using 12-day weighed food records by the developing group; dietary fibers correlated adequately (<xref ref-type="bibr" rid="B15">15</xref>); however, the percentage of acetic acid differences are large (&#x2212;50% to &#x2212;70%) (<xref ref-type="bibr" rid="B16">16</xref>). The FFQ is better at ranking individuals than determining absolute intake; therefore, the intake values should not be taken as precise recommendations. Third, our estimation of fermentable fiber was indirect and did not capture all possible microbiota-accessible carbohydrates (for instance, fiber from fruits, vegetables, and seaweed that might also be fermentable were not separately quantified). No established method currently exists to comprehensively measure fermentable fiber intake in Japan. Fourth, patients&#x2019; gut microbiomes were not analyzed. Therefore, microbial mechanisms can be only speculated. The present study cannot explain why the ICI responses were associated with vinegar intake and not dietary fiber intake in the Japanese cohort; concurrent microbiome profiling would strengthen future research. Lastly, although we found an association with vinegar intake, vinegar is still a proxy for some other dietary or lifestyle factors. For example, vinegar intake might correlate with the consumption of certain traditional Japanese dishes or with health-conscious behavior. Controlled intervention studies are needed to confirm the causal effect of vinegar on ICI outcomes.</p>
<p>Despite these limitations, our findings raise interesting possibilities for precision nutrition in cancer immunotherapy. Given the difference in diet&#x2013;microbiome&#x2013;immune interactions across regions, the &#x201c;optimal&#x201d; diet to support ICI therapy may need to be tailored to local habits. In Western populations, a high-fiber diet is emphasized; however, in Japan, simply advising more fiber might not be effective. Instead, other dietary modifications&#x2014;such as encouraging fermented foods or vinegar (which are familiar in the Japanese diet)&#x2014;could be more beneficial adjuncts to therapy. Ultimately, personalized nutritional interventions, designed with consideration of an individual&#x2019;s microbiota and cultural diet, should be explored as a way to improve ICI efficacy. For instance, a prospective trial could test whether adding a small amount of vinegar (e.g., a tablespoon daily; 15 g/tablespoon, equivalent to acetic acid 750 mg as rice vinegar or apple cider vinegar) (<xref ref-type="bibr" rid="B48">48</xref>, <xref ref-type="bibr" rid="B49">49</xref>) to the diet of patients on ICIs improves outcomes compared with a control diet. The safety of drinking vinegar containing 750 mg of acetic acid per 100 mL was also reported (<xref ref-type="bibr" rid="B50">50</xref>). Likewise, investigating microbiome changes in such trials would help clarify the mechanism. As the field of immuno-nutrition evolves, what constitutes a &#x201c;favorable food&#x201d; during ICI therapy will likely differ between a Japanese patient and a Western patient, and this study underscores the importance of this context-specific approach.</p>
</sec>
<sec id="s5" sec-type="conclusions">
<label>5</label>
<title>Conclusion</title>
<p>The findings of this study imply that in Japanese patients undergoing ICI therapy, higher vinegar (acetic acid) intake may contribute to a better therapeutic response, whereas dietary fiber intake (at typical Japanese levels) appears to have a limited effect on outcomes. These results underscore that dietary recommendations to enhance ICI efficacy should not adopt a &#x201c;one-size-fits-all&#x201d; model but consider regional dietary habits and microbiota profiles. Nutritional interventions that are effective in Western populations may need adaptation in Japan. Integrating modest vinegar consumption into the diet is a feasible approach that could potentially improve ICI responses in Japanese patients; however, further prospective studies are warranted to confirm this benefit. Ultimately, tailoring dietary guidance to individual and ethnic differences&#x2014;a form of precision nutrition&#x2014;will be important for optimizing cancer immunotherapy results.</p>
</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 author.</p></sec>
<sec id="s7" sec-type="ethics-statement">
<title>Ethics statement</title>
<p>The studies involving humans were approved by the Ethics Committee of Showa 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.</p></sec>
<sec id="s8" sec-type="author-contributions">
<title>Author contributions</title>
<p>HA: Data curation, Formal analysis, Investigation, Methodology, Project administration, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing, Software. MiS: Conceptualization, Methodology, Writing &#x2013; review &amp; editing, Data curation, Supervision. CO: Data curation, Writing &#x2013; review &amp; editing. MK: Data curation, Writing &#x2013; review &amp; editing. NS: Data curation, Writing &#x2013; review &amp; editing. EM: Data curation, Writing &#x2013; review &amp; editing. RS: Data curation, Writing &#x2013; review &amp; editing. ToT: Data curation, Writing &#x2013; review &amp; editing. NI: Data curation, Supervision, Writing &#x2013; review &amp; editing. TI: Data curation, Writing &#x2013; review &amp; editing. YH: Data curation, Writing &#x2013; review &amp; editing. MaS: Data curation, Writing &#x2013; review &amp; editing. RO: Data curation, Writing &#x2013; review &amp; editing. YK: Data curation, Writing &#x2013; review &amp; editing. AH: Data curation, Writing &#x2013; review &amp; editing. SW: Data curation, Writing &#x2013; review &amp; editing. KY: Data curation, Writing &#x2013; review &amp; editing. KM: Software, Writing &#x2013; review &amp; editing. TaT: Conceptualization, Data curation, Methodology, Project administration, Supervision, Writing &#x2013; review &amp; editing, Writing &#x2013; original draft, Funding acquisition.</p></sec>
<ack>
<title>Acknowledgments</title>
<p>We would like to express our special thanks to Eisuke Inoue of Showa University Research Administration Center for answering the consultation of statistical methods.</p>
</ack>
<sec id="s10" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p></sec>
<sec id="s11" sec-type="ai-statement">
<title>Generative AI statement</title>
<p>The author(s) declare that Generative AI was used in the creation of this manuscript. This manuscript was edited using the following a generative artificial intelligence (AI): ChatGPT o3 (AI name/version/model); source of the generative AI technology: OpenAI. However, the manuscript&#x2019;s draft as well as the ROC figures of acetic acid (<xref ref-type="fig" rid="f6"><bold>Figure&#xa0;6</bold></xref>) and total dietary fiber (unshown) were written by the corresponding author.</p>
<p>Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.</p></sec>
<sec id="s12" sec-type="disclaimer">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p></sec>
<sec id="s13" sec-type="supplementary-material">
<title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fimmu.2025.1640603/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fimmu.2025.1640603/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="DataSheet1.docx" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document"/>
<supplementary-material xlink:href="Image1.tiff" id="SF1" mimetype="image/tiff"/>
<supplementary-material xlink:href="Image2.tiff" id="SF2" mimetype="image/tiff"/></sec>
<ref-list>
<title>References</title>
<ref id="B1">
<label>1</label>
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Sivan</surname> <given-names>A</given-names></name>
<name><surname>Corrales</surname> <given-names>L</given-names></name>
<name><surname>Hubert</surname> <given-names>N</given-names></name>
<name><surname>Williams</surname> <given-names>JB</given-names></name>
<name><surname>Aquino-Michaels</surname> <given-names>K</given-names></name>
<name><surname>Earley</surname> <given-names>ZM</given-names></name>
<etal/>
</person-group>. 
<article-title>Commensal Bifidobacterium promotes antitumor immunity and facilitates anti-PD-L1 efficacy</article-title>. <source>Science</source>. (<year>2015</year>) <volume>350</volume>:<page-range>1084&#x2013;9</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1126/science.aac4255</pub-id>, PMID: <pub-id pub-id-type="pmid">26541606</pub-id>
</mixed-citation>
</ref>
<ref id="B2">
<label>2</label>
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>V&#xe9;tizou</surname> <given-names>M</given-names></name>
<name><surname>Pitt</surname> <given-names>JM</given-names></name>
<name><surname>Daill&#xe8;re</surname> <given-names>R</given-names></name>
<name><surname>Lepage</surname> <given-names>P</given-names></name>
<name><surname>Waldschmitt</surname> <given-names>N</given-names></name>
<name><surname>Flament</surname> <given-names>C</given-names></name>
<etal/>
</person-group>. 
<article-title>Anticancer immunotherapy by CTLA-4 blockade relies on the gut microbiota</article-title>. <source>Science</source>. (<year>2015</year>) <volume>350</volume>:<page-range>1079&#x2013;84</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1126/science.aad1329</pub-id>, PMID: <pub-id pub-id-type="pmid">26541610</pub-id>
</mixed-citation>
</ref>
<ref id="B3">
<label>3</label>
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Routy</surname> <given-names>B</given-names></name>
<name><surname>Le Chatelier</surname> <given-names>E</given-names></name>
<name><surname>Derosa</surname> <given-names>L</given-names></name>
<name><surname>Duong</surname> <given-names>CPM</given-names></name>
<name><surname>Alou</surname> <given-names>MT</given-names></name>
<name><surname>Daill&#xe8;re</surname> <given-names>R</given-names></name>
<etal/>
</person-group>. 
<article-title>Gut microbiome influences efficacy of PD-1&#x2013;based immunotherapy against epithelial tumors</article-title>. <source>Science</source>. (<year>2018</year>) <volume>359</volume>:<page-range>91&#x2013;7</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1126/science.aan3706</pub-id>, PMID: <pub-id pub-id-type="pmid">29097494</pub-id>
</mixed-citation>
</ref>
<ref id="B4">
<label>4</label>
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Hamada</surname> <given-names>K</given-names></name>
<name><surname>Yoshimura</surname> <given-names>K</given-names></name>
<name><surname>Hirasawa</surname> <given-names>Y</given-names></name>
<name><surname>Hosonuma</surname> <given-names>M</given-names></name>
<name><surname>Murayama</surname> <given-names>M</given-names></name>
<name><surname>Narikawa</surname> <given-names>Y</given-names></name>
<etal/>
</person-group>. 
<article-title>Antibiotic usage reduced overall survival by over 70% in Non-small Cell Lung Cancer Patients on Anti-PD-1 Immunotherapy</article-title>. <source>Anticancer Res</source>. (<year>2021</year>) <volume>41</volume>:<page-range>4985&#x2013;93</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.21873/anticanres.15312</pub-id>, PMID: <pub-id pub-id-type="pmid">34593446</pub-id>
</mixed-citation>
</ref>
<ref id="B5">
<label>5</label>
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Hamada</surname> <given-names>K</given-names></name>
<name><surname>Isobe</surname> <given-names>J</given-names></name>
<name><surname>Hattori</surname> <given-names>K</given-names></name>
<name><surname>Hosonuma</surname> <given-names>M</given-names></name>
<name><surname>Baba</surname> <given-names>Y</given-names></name>
<name><surname>Murayama</surname> <given-names>M</given-names></name>
<etal/>
</person-group>. 
<article-title>Turicibacter and Acidaminococcus predict immune-related adverse events and efficacy of immune checkpoint inhibitor</article-title>. <source>Front Immunol</source>. (<year>2023</year>) <volume>14</volume>:<elocation-id>1164724</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.3389/fimmu.2023.1164724</pub-id>, PMID: <pub-id pub-id-type="pmid">37207204</pub-id>
</mixed-citation>
</ref>
<ref id="B6">
<label>6</label>
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Spencer</surname> <given-names>CN</given-names></name>
<name><surname>McQuade</surname> <given-names>JL</given-names></name>
<name><surname>Gopalakrishnan</surname> <given-names>V</given-names></name>
<name><surname>McCulloch</surname> <given-names>JA</given-names></name>
<name><surname>Vetizou</surname> <given-names>M</given-names></name>
<name><surname>Cogdill</surname> <given-names>AP</given-names></name>
<etal/>
</person-group>. 
<article-title>Dietary fiber and probiotics influence the gut microbiome and melanoma immunotherapy response</article-title>. <source>Science</source>. (<year>2021</year>) <volume>374</volume>:<page-range>1632&#x2013;40</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1126/science.aaz7015</pub-id>, PMID: <pub-id pub-id-type="pmid">34941392</pub-id>
</mixed-citation>
</ref>
<ref id="B7">
<label>7</label>
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Fu</surname> <given-names>J</given-names></name>
<name><surname>Zheng</surname> <given-names>Y</given-names></name>
<name><surname>Gao</surname> <given-names>Y</given-names></name>
<name><surname>Xu</surname> <given-names>W</given-names></name>
</person-group>. 
<article-title>Dietary fiber intake and gut microbiota in human health</article-title>. <source>Microorganisms</source>. (<year>2022</year>) <volume>10</volume>:<elocation-id>2507</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.3390/microorganisms10122507</pub-id>, PMID: <pub-id pub-id-type="pmid">36557760</pub-id>
</mixed-citation>
</ref>
<ref id="B8">
<label>8</label>
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Li</surname> <given-names>Y</given-names></name>
<name><surname>Huang</surname> <given-names>Y</given-names></name>
<name><surname>Liang</surname> <given-names>H</given-names></name>
<name><surname>Wang</surname> <given-names>W</given-names></name>
<name><surname>Li</surname> <given-names>B</given-names></name>
<name><surname>Liu</surname> <given-names>T</given-names></name>
<etal/>
</person-group>. 
<article-title>The roles and applications of short-chain fatty acids derived from microbial fermentation of dietary fibers in human cancer</article-title>. <source>Front Nutr</source>. (<year>2023</year>) <volume>10</volume>:<elocation-id>1243390</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.3389/fnut.2023.1243390</pub-id>, PMID: <pub-id pub-id-type="pmid">37614742</pub-id>
</mixed-citation>
</ref>
<ref id="B9">
<label>9</label>
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Cantu-Jungles</surname> <given-names>TM</given-names></name>
<name><surname>Hamaker</surname> <given-names>BR</given-names></name>
</person-group>. 
<article-title>Tuning expectations to reality: don&#x2019;t expect increased gut microbiota diversity with dietary fiber</article-title>. <source>J Nutr</source>. (<year>2023</year>) <volume>153</volume>:<page-range>3156&#x2013;63</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.tjnut.2023.09.001</pub-id>, PMID: <pub-id pub-id-type="pmid">37690780</pub-id>
</mixed-citation>
</ref>
<ref id="B10">
<label>10</label>
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Roichman</surname> <given-names>A</given-names></name>
<name><surname>Reyes-Castellanos</surname> <given-names>G</given-names></name>
<name><surname>Chen</surname> <given-names>Z</given-names></name>
<name><surname>Chen</surname> <given-names>Z</given-names></name>
<name><surname>Mitchell</surname> <given-names>SJ</given-names></name>
<name><surname>MacArthur</surname> <given-names>MR</given-names></name>
<etal/>
</person-group>. 
<article-title>Dietary fiber lacks a consistent effect on immune checkpoint blockade efficacy across diverse murine tumor models</article-title>. <source>Cancer Res</source>. (<year>2025</year>) <volume>85</volume>:<page-range>3335&#x2013;47</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1158/0008-5472.CAN-24-4378</pub-id>, PMID: <pub-id pub-id-type="pmid">40540354</pub-id>
</mixed-citation>
</ref>
<ref id="B11">
<label>11</label>
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Nishijima</surname> <given-names>S</given-names></name>
<name><surname>Suda</surname> <given-names>W</given-names></name>
<name><surname>Oshima</surname> <given-names>K</given-names></name>
<name><surname>Kim</surname> <given-names>SW</given-names></name>
<name><surname>Hirose</surname> <given-names>Y</given-names></name>
<name><surname>Morita</surname> <given-names>H</given-names></name>
<etal/>
</person-group>. 
<article-title>The gut microbiome of healthy Japanese and its microbial and functional uniqueness</article-title>. <source>DNA Res</source>. (<year>2016</year>) <volume>23</volume>:<page-range>125&#x2013;33</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1093/dnares/dsw002</pub-id>, PMID: <pub-id pub-id-type="pmid">26951067</pub-id>
</mixed-citation>
</ref>
<ref id="B12">
<label>12</label>
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Shobako</surname> <given-names>N</given-names></name>
<name><surname>Itoh</surname> <given-names>H</given-names></name>
<name><surname>Honda</surname> <given-names>K</given-names></name>
</person-group>. 
<article-title>Typical guidelines for well-balanced diet and science communication in Japan and worldwide</article-title>. <source>Nutrients</source>. (<year>2024</year>) <volume>16</volume>:<elocation-id>2112</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.3390/nu16132112</pub-id>, PMID: <pub-id pub-id-type="pmid">38999861</pub-id>
</mixed-citation>
</ref>
<ref id="B13">
<label>13</label>
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Golonko</surname> <given-names>A</given-names></name>
<name><surname>Pienkowski</surname> <given-names>T</given-names></name>
<name><surname>Swislocka</surname> <given-names>R</given-names></name>
<name><surname>Orzechowska</surname> <given-names>S</given-names></name>
<name><surname>Marszalek</surname> <given-names>K</given-names></name>
<name><surname>Szczerbinski</surname> <given-names>L</given-names></name>
<etal/>
</person-group>. 
<article-title>Dietary factors and their influence on immunotherapy strategies in oncology: a comprehensive review</article-title>. <source>Cell Death Dis</source>. (<year>2024</year>) <volume>15</volume>:<fpage>254</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1038/s41419-024-06641-6</pub-id>, PMID: <pub-id pub-id-type="pmid">38594256</pub-id>
</mixed-citation>
</ref>
<ref id="B14">
<label>14</label>
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Katagiri</surname> <given-names>R</given-names></name>
<name><surname>Goto</surname> <given-names>A</given-names></name>
<name><surname>Shimazu</surname> <given-names>T</given-names></name>
<name><surname>Yamaji</surname> <given-names>T</given-names></name>
<name><surname>Sawada</surname> <given-names>N</given-names></name>
<name><surname>Iwasaki</surname> <given-names>M</given-names></name>
<etal/>
</person-group>. 
<article-title>Dietary fiber intake and risk of gastric cancer: the Japan Public Health Center-based prospective study</article-title>. <source>Int J Cancer</source>. (<year>2021</year>) <volume>148</volume>:<page-range>2664&#x2013;73</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1002/ijc.33450</pub-id>, PMID: <pub-id pub-id-type="pmid">33348433</pub-id>
</mixed-citation>
</ref>
<ref id="B15">
<label>15</label>
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Yokoyama</surname> <given-names>Y</given-names></name>
<name><surname>Takachi</surname> <given-names>R</given-names></name>
<name><surname>Ishihara</surname> <given-names>J</given-names></name>
<name><surname>Ishii</surname> <given-names>Y</given-names></name>
<name><surname>Sasazuki</surname> <given-names>S</given-names></name>
<name><surname>Sawada</surname> <given-names>N</given-names></name>
<etal/>
</person-group>. 
<article-title>Validity of short and long self-administered food frequency questionnaires in ranking dietary intake in middle-aged and elderly Japanese in the Japan public health center-based prospective study for the next generation (JPHC-NEXT) protocol area</article-title>. <source>J Epidemiol</source>. (<year>2016</year>) <volume>26</volume>:<page-range>420&#x2013;32</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.2188/jea.JE20150064</pub-id>, PMID: <pub-id pub-id-type="pmid">27064130</pub-id>
</mixed-citation>
</ref>
<ref id="B16">
<label>16</label>
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Murai</surname> <given-names>U</given-names></name>
<name><surname>Ishihara</surname> <given-names>J</given-names></name>
<name><surname>Takachi</surname> <given-names>R</given-names></name>
<name><surname>Kotemori</surname> <given-names>A</given-names></name>
<name><surname>Ishii</surname> <given-names>Y</given-names></name>
<name><surname>Nakamura</surname> <given-names>K</given-names></name>
<etal/>
</person-group>. 
<article-title>Validity of the intake of sugars, amino acids, and fatty acids estimated using a self-administered food frequency questionnaire in middle-aged and elderly Japanese: the Japan public health center-based prospective study for the next generation (JPHC-NEXT) protocol area</article-title>. <source>J Epidemiol</source>. (<year>2024</year>) <volume>34</volume>:<page-range>372&#x2013;9</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.2188/jea.JE20230132</pub-id>, PMID: <pub-id pub-id-type="pmid">38191182</pub-id>
</mixed-citation>
</ref>
<ref id="B17">
<label>17</label>
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Yoshida</surname> <given-names>M</given-names></name>
<name><surname>Okumura</surname> <given-names>M</given-names></name>
<name><surname>Fuchigami</surname> <given-names>K</given-names></name>
<name><surname>Nakasato</surname> <given-names>T</given-names></name>
<name><surname>Igarashi</surname> <given-names>T</given-names></name>
<name><surname>Yasui</surname> <given-names>A</given-names></name>
</person-group>. 
<article-title>Application of new dietary-fiber measuring method for the standard tables of food composition in Japan</article-title>. <source>Nippon Shokuhin Kagaku Kogaku Kaishi</source>. (<year>2019</year>) <volume>66</volume>:<page-range>187&#x2013;94</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.3136/nskkk.66.187</pub-id>
</mixed-citation>
</ref>
<ref id="B18">
<label>18</label>
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Prins</surname> <given-names>A</given-names></name>
<name><surname>Kosik</surname> <given-names>O</given-names></name>
</person-group>. 
<article-title>Genetic approaches to increase arabinoxylan and &#x3b2;-glucan content in wheat</article-title>. <source>Plants (Basel)</source>. (<year>2023</year>) <volume>12</volume>:<elocation-id>3216</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.3390/plants12183216</pub-id>, PMID: <pub-id pub-id-type="pmid">37765380</pub-id>
</mixed-citation>
</ref>
<ref id="B19">
<label>19</label>
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Prasadi</surname> <given-names>NP</given-names></name>
<name><surname>Joye</surname> <given-names>IJ</given-names></name>
</person-group>. 
<article-title>Dietary fibre from whole grains and their benefits on metabolic health</article-title>. <source>Nutrients</source>. (<year>2020</year>) <volume>12</volume>:<elocation-id>3045</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.3390/nu12103045</pub-id>, PMID: <pub-id pub-id-type="pmid">33027944</pub-id>
</mixed-citation>
</ref>
<ref id="B20">
<label>20</label>
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Casas</surname> <given-names>GA</given-names></name>
<name><surname>L&#xe6;rke</surname> <given-names>HN</given-names></name>
<name><surname>Bach Knudsen</surname> <given-names>KE</given-names></name>
<name><surname>Stein</surname> <given-names>HH</given-names></name>
</person-group>. 
<article-title>Arabinoxylan is the main polysaccharide in fiber from rice coproducts, and increased concentration of fiber decreases <italic>in vitro</italic> digestibility of dry matter</article-title>. <source>Anim Feed Sci Technol</source>. (<year>2019</year>) <volume>247</volume>:<page-range>255&#x2013;61</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.anifeedsci.2018.11.017</pub-id>
</mixed-citation>
</ref>
<ref id="B21">
<label>21</label>
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Sofi</surname> <given-names>SA</given-names></name>
<name><surname>Ahmed</surname> <given-names>N</given-names></name>
<name><surname>Farooq</surname> <given-names>A</given-names></name>
<name><surname>Rafiq</surname> <given-names>S</given-names></name>
<name><surname>Zargar</surname> <given-names>SM</given-names></name>
<name><surname>Kamran</surname> <given-names>F</given-names></name>
<etal/>
</person-group>. 
<article-title>Nutritional and bioactive characteristics of buckwheat, and its potential for developing gluten-free products: an updated overview</article-title>. <source>Food Sci Nutr</source>. (<year>2023</year>) <volume>11</volume>:<page-range>2256&#x2013;76</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1002/fsn3.3166</pub-id>, PMID: <pub-id pub-id-type="pmid">37181307</pub-id>
</mixed-citation>
</ref>
<ref id="B22">
<label>22</label>
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Gu</surname> <given-names>Z</given-names></name>
</person-group>. 
<article-title>Complex heatmap visualization</article-title>. <source>Imeta</source>. (<year>2022</year>) <volume>1</volume>:<fpage>e43</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1002/imt2.43</pub-id>, PMID: <pub-id pub-id-type="pmid">38868715</pub-id>
</mixed-citation>
</ref>
<ref id="B23">
<label>23</label>
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Katagiri</surname> <given-names>R</given-names></name>
<name><surname>Goto</surname> <given-names>A</given-names></name>
<name><surname>Sawada</surname> <given-names>N</given-names></name>
<name><surname>Yamaji</surname> <given-names>T</given-names></name>
<name><surname>Iwasaki</surname> <given-names>M</given-names></name>
<name><surname>Noda</surname> <given-names>M</given-names></name>
<etal/>
</person-group>. 
<article-title>Dietary fiber intake and total and cause-specific mortality: the Japan Public Health Center-based prospective study</article-title>. <source>Am J Clin Nutr</source>. (<year>2020</year>) <volume>111</volume>:<page-range>1027&#x2013;35</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1093/ajcn/nqaa002</pub-id>, PMID: <pub-id pub-id-type="pmid">31990973</pub-id>
</mixed-citation>
</ref>
<ref id="B24">
<label>24</label>
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Seyidoglu</surname> <given-names>N</given-names></name>
<name><surname>Karak&#xe7;&#x131;</surname> <given-names>D</given-names></name>
<name><surname>Bak&#x131;r</surname> <given-names>B</given-names></name>
<name><surname>Y&#x131;km&#x131;&#x15f;</surname> <given-names>S</given-names></name>
</person-group>. 
<article-title>Hawthorn vinegar in health with a focus on immune responses</article-title>. <source>Nutrients</source>. (<year>2024</year>) <volume>16</volume>:<elocation-id>1868</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.3390/nu16121868</pub-id>, PMID: <pub-id pub-id-type="pmid">38931223</pub-id>
</mixed-citation>
</ref>
<ref id="B25">
<label>25</label>
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Ousaaid</surname> <given-names>D</given-names></name>
<name><surname>Bakour</surname> <given-names>M</given-names></name>
<name><surname>Laaroussi</surname> <given-names>H</given-names></name>
<name><surname>El Ghouizi</surname> <given-names>A</given-names></name>
<name><surname>Lyoussi</surname> <given-names>B</given-names></name>
<name><surname>El Arabi</surname> <given-names>I</given-names></name>
</person-group>. 
<article-title>Fruit vinegar as a promising source of natural anti-inflammatory agents: an up-to-date review</article-title>. <source>Daru</source>. (<year>2024</year>) <volume>32</volume>:<page-range>307&#x2013;17</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1007/s40199-023-00493-9</pub-id>, PMID: <pub-id pub-id-type="pmid">38040916</pub-id>
</mixed-citation>
</ref>
<ref id="B26">
<label>26</label>
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Ali</surname> <given-names>Z</given-names></name>
<name><surname>Wang</surname> <given-names>Z</given-names></name>
<name><surname>Amir</surname> <given-names>RM</given-names></name>
<name><surname>Younas</surname> <given-names>S</given-names></name>
<name><surname>Wali</surname> <given-names>A</given-names></name>
<name><surname>Adowa</surname> <given-names>N</given-names></name>
<etal/>
</person-group>. 
<article-title>Potential uses of vinegar as a medicine and related <italic>in vivo</italic> mechanisms</article-title>. <source>Int J Vitam Nutr Res</source>. (<year>2016</year>) <volume>86</volume>:<page-range>127&#x2013;51</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1024/0300-9831/a000440</pub-id>, PMID: <pub-id pub-id-type="pmid">29580192</pub-id>
</mixed-citation>
</ref>
<ref id="B27">
<label>27</label>
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Kondo</surname> <given-names>T</given-names></name>
<name><surname>Kishi</surname> <given-names>M</given-names></name>
<name><surname>Fushimi</surname> <given-names>T</given-names></name>
<name><surname>Kaga</surname> <given-names>T</given-names></name>
</person-group>. 
<article-title>Acetic acid upregulates the expression of genes for fatty acid oxidation enzymes in liver to suppress body fat accumulation</article-title>. <source>J Agric Food Chem</source>. (<year>2009</year>) <volume>57</volume>:<page-range>5982&#x2013;6</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1021/jf900470c</pub-id>, PMID: <pub-id pub-id-type="pmid">19469536</pub-id>
</mixed-citation>
</ref>
<ref id="B28">
<label>28</label>
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Yamashita</surname> <given-names>H</given-names></name>
<name><surname>Maruta</surname> <given-names>H</given-names></name>
<name><surname>Jozuka</surname> <given-names>M</given-names></name>
<name><surname>Kimura</surname> <given-names>R</given-names></name>
<name><surname>Iwabuchi</surname> <given-names>H</given-names></name>
<name><surname>Yamato</surname> <given-names>M</given-names></name>
<etal/>
</person-group>. 
<article-title>Effects of acetate on lipid metabolism in muscles and adipose tissues of type 2 diabetic Otsuka Long-Evans Tokushima Fatty (OLETF) rats</article-title>. <source>Biosci Biotechnol Biochem</source>. (<year>2009</year>) <volume>73</volume>:<page-range>570&#x2013;6</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1271/bbb.80634</pub-id>, PMID: <pub-id pub-id-type="pmid">19270372</pub-id>
</mixed-citation>
</ref>
<ref id="B29">
<label>29</label>
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Li</surname> <given-names>M</given-names></name>
<name><surname>Ding</surname> <given-names>Y</given-names></name>
<name><surname>Wei</surname> <given-names>J</given-names></name>
<name><surname>Dong</surname> <given-names>Y</given-names></name>
<name><surname>Wang</surname> <given-names>J</given-names></name>
<name><surname>Dai</surname> <given-names>X</given-names></name>
<etal/>
</person-group>. 
<article-title>Gut microbiota metabolite indole-3-acetic acid maintains intestinal epithelial homeostasis through mucin sulfation</article-title>. <source>Gut Microbes</source>. (<year>2024</year>) <volume>16</volume>:<elocation-id>2377576</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.1080/19490976.2024.2377576</pub-id>, PMID: <pub-id pub-id-type="pmid">39068517</pub-id>
</mixed-citation>
</ref>
<ref id="B30">
<label>30</label>
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Takeuchi</surname> <given-names>T</given-names></name>
<name><surname>Miyauchi</surname> <given-names>E</given-names></name>
<name><surname>Kanaya</surname> <given-names>T</given-names></name>
<name><surname>Kato</surname> <given-names>T</given-names></name>
<name><surname>Nakanishi</surname> <given-names>Y</given-names></name>
<name><surname>Watanabe</surname> <given-names>T</given-names></name>
<etal/>
</person-group>. 
<article-title>Acetate differentially regulates IgA reactivity to commensal bacteria</article-title>. <source>Nature</source>. (<year>2021</year>) <volume>595</volume>:<page-range>560&#x2013;4</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1038/s41586-021-03727-5</pub-id>, PMID: <pub-id pub-id-type="pmid">34262176</pub-id>
</mixed-citation>
</ref>
<ref id="B31">
<label>31</label>
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Nomura</surname> <given-names>M</given-names></name>
<name><surname>Nagatomo</surname> <given-names>R</given-names></name>
<name><surname>Doi</surname> <given-names>K</given-names></name>
<name><surname>Shimizu</surname> <given-names>J</given-names></name>
<name><surname>Baba</surname> <given-names>K</given-names></name>
<name><surname>Saito</surname> <given-names>T</given-names></name>
<etal/>
</person-group>. 
<article-title>Association of short-chain fatty acids in the gut microbiome with clinical response to treatment with nivolumab or pembrolizumab in patients with solid cancer tumors</article-title>. <source>JAMA Netw Open</source>. (<year>2020</year>) <volume>3</volume>:<fpage>e202895</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1001/jamanetworkopen.2020.2895</pub-id>, PMID: <pub-id pub-id-type="pmid">32297948</pub-id>
</mixed-citation>
</ref>
<ref id="B32">
<label>32</label>
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Sugiyama</surname> <given-names>S</given-names></name>
<name><surname>Fushimi</surname> <given-names>T</given-names></name>
<name><surname>Kishi</surname> <given-names>M</given-names></name>
<name><surname>Irie</surname> <given-names>S</given-names></name>
<name><surname>Tsuji</surname> <given-names>S</given-names></name>
<name><surname>Hosokawa</surname> <given-names>N</given-names></name>
<etal/>
</person-group>. 
<article-title>Bioavailability of acetate from two vinegar supplements: capsule and drink</article-title>. <source>J Nutr Sci Vitaminol (Tokyo)</source>. (<year>2010</year>) <volume>56</volume>:<page-range>266&#x2013;9</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.3177/jnsv.56.266</pub-id>, PMID: <pub-id pub-id-type="pmid">20924150</pub-id>
</mixed-citation>
</ref>
<ref id="B33">
<label>33</label>
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Schmitt</surname> <given-names>MG</given-names> <suffix>Jr</suffix></name>
<name><surname>Soergel</surname> <given-names>KH</given-names></name>
<name><surname>Wood</surname> <given-names>CM</given-names></name>
</person-group>. 
<article-title>Absorption of short chain fatty acids from the human jejunum</article-title>. <source>Gastroenterology</source>. (<year>1976</year>) <volume>70</volume>:<page-range>211&#x2013;5</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/S0016-5085(76)80011-X</pub-id>, PMID: <pub-id pub-id-type="pmid">1248680</pub-id>
</mixed-citation>
</ref>
<ref id="B34">
<label>34</label>
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Saunders</surname> <given-names>DR</given-names></name>
</person-group>. 
<article-title>Absorption of short-chain fatty acids in human stomach and rectum</article-title>. <source>Nutr Res</source>. (<year>1991</year>) <volume>11</volume>:<page-range>841&#x2013;7</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/S0271-5317(05)80612-8</pub-id>
</mixed-citation>
</ref>
<ref id="B35">
<label>35</label>
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Argenzio</surname> <given-names>RA</given-names></name>
<name><surname>Southworth</surname> <given-names>M</given-names></name>
</person-group>. 
<article-title>Sites of organic acid production and absorption in gastrointestinal tract of the pig</article-title>. <source>Am J Physiol</source>. (<year>1975</year>) <volume>228</volume>:<page-range>454&#x2013;60</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1152/ajplegacy.1975.228.2.454</pub-id>, PMID: <pub-id pub-id-type="pmid">235219</pub-id>
</mixed-citation>
</ref>
<ref id="B36">
<label>36</label>
<mixed-citation publication-type="web">
<person-group person-group-type="author">
<name><surname>Tayama</surname> <given-names>K</given-names></name>
<name><surname>Kondo S, Akita S, Tsukamoto Y</surname> <given-names>S</given-names></name>
<name><surname>Akita</surname> <given-names>S</given-names></name>
<name><surname>Tsukamoto</surname> <given-names>Y</given-names></name><collab>inventor; Mizkan Group Corp., assignee</collab>
</person-group>. 
<article-title>Japanese Patent publication (2002) 255801</article-title>. Available online at: <uri xlink:href="https://www.j-platpat.inpit.go.jp/p0200">https://www.j-platpat.inpit.go.jp/p0200</uri>. (Accessed November 30, 2025).
</mixed-citation>
</ref>
<ref id="B37">
<label>37</label>
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Xia</surname> <given-names>T</given-names></name>
<name><surname>Kang</surname> <given-names>C</given-names></name>
<name><surname>Qiang</surname> <given-names>X</given-names></name>
<name><surname>Zhang</surname> <given-names>X</given-names></name>
<name><surname>Li</surname> <given-names>S</given-names></name>
<name><surname>Liang</surname> <given-names>K</given-names></name>
<etal/>
</person-group>. 
<article-title>Beneficial effect of vinegar consumption associated with regulating gut microbiome and metabolome</article-title>. <source>Curr Res Food Sci</source>. (<year>2024</year>) <volume>8</volume>:<elocation-id>100566</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.crfs.2023.100566</pub-id>, PMID: <pub-id pub-id-type="pmid">38235496</pub-id>
</mixed-citation>
</ref>
<ref id="B38">
<label>38</label>
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Song</surname> <given-names>J</given-names></name>
<name><surname>Zhang</surname> <given-names>J</given-names></name>
<name><surname>Su</surname> <given-names>Y</given-names></name>
<name><surname>Zhang</surname> <given-names>X</given-names></name>
<name><surname>Li</surname> <given-names>J</given-names></name>
<name><surname>Tu</surname> <given-names>L</given-names></name>
<etal/>
</person-group>. 
<article-title>Monascus vinegar-mediated alternation of gut microbiota and its correlation with lipid metabolism and inflammation in hyperlipidemic rats</article-title>. <source>J Funct Foods</source>. (<year>2020</year>) <volume>74</volume>:<elocation-id>104152</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.jff.2020.104152</pub-id>
</mixed-citation>
</ref>
<ref id="B39">
<label>39</label>
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Luo</surname> <given-names>D</given-names></name>
<name><surname>Xu</surname> <given-names>X</given-names></name>
</person-group>. 
<article-title>Vinegar could act by gut microbiome</article-title>. <source>EBiomedicine</source>. (<year>2019</year>) <volume>46</volume>:<fpage>30</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.ebiom.2019.07.061</pub-id>, PMID: <pub-id pub-id-type="pmid">31358478</pub-id>
</mixed-citation>
</ref>
<ref id="B40">
<label>40</label>
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Kondo</surname> <given-names>S</given-names></name>
<name><surname>Tayama</surname> <given-names>K</given-names></name>
<name><surname>Tsukamoto</surname> <given-names>Y</given-names></name>
<name><surname>Ikeda</surname> <given-names>K</given-names></name>
<name><surname>Yamori</surname> <given-names>Y</given-names></name>
</person-group>. 
<article-title>Antihypertensive effects of acetic acid and vinegar on spontaneously hypertensive rats</article-title>. <source>Biosci Biotechnol Biochem</source>. (<year>2001</year>) <volume>65</volume>:<page-range>2690&#x2013;4</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1271/bbb.65.2690</pub-id>, PMID: <pub-id pub-id-type="pmid">11826965</pub-id>
</mixed-citation>
</ref>
<ref id="B41">
<label>41</label>
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Maslowski</surname> <given-names>KM</given-names></name>
<name><surname>Vieira</surname> <given-names>AT</given-names></name>
<name><surname>Ng</surname> <given-names>A</given-names></name>
<name><surname>Kranich</surname> <given-names>J</given-names></name>
<name><surname>Sierro</surname> <given-names>F</given-names></name>
<name><surname>Yu</surname> <given-names>D</given-names></name>
<etal/>
</person-group>. 
<article-title>Regulation of inflammatory responses by gut microbiota and chemoattractant receptor GPR43</article-title>. <source>Nature</source>. (<year>2009</year>) <volume>461</volume>:<page-range>1282&#x2013;6</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1038/nature08530</pub-id>, PMID: <pub-id pub-id-type="pmid">19865172</pub-id>
</mixed-citation>
</ref>
<ref id="B42">
<label>42</label>
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Shahinfar</surname> <given-names>H</given-names></name>
<name><surname>Amini</surname> <given-names>MR</given-names></name>
<name><surname>Payandeh</surname> <given-names>N</given-names></name>
<name><surname>Torabynasab</surname> <given-names>K</given-names></name>
<name><surname>Pourreza</surname> <given-names>S</given-names></name>
<name><surname>Jazayeri</surname> <given-names>S</given-names></name>
</person-group>. 
<article-title>Dose-dependent effect of vinegar on blood pressure: a GRADE-assessed systematic review and meta-analysis of randomized controlled trials</article-title>. <source>Complement Ther Med</source>. (<year>2022</year>) <volume>71</volume>:<elocation-id>102887</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.ctim.2022.102887</pub-id>, PMID: <pub-id pub-id-type="pmid">36152934</pub-id>
</mixed-citation>
</ref>
<ref id="B43">
<label>43</label>
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Sakakibara</surname> <given-names>S</given-names></name>
<name><surname>Yamauchi</surname> <given-names>T</given-names></name>
<name><surname>Oshima</surname> <given-names>Y</given-names></name>
<name><surname>Tsukamoto</surname> <given-names>Y</given-names></name>
<name><surname>Kadowaki</surname> <given-names>T</given-names></name>
</person-group>. 
<article-title>Acetic acid activates hepatic AMPK and reduces hyperglycemia in diabetic KK-A(y) mice</article-title>. <source>Biochem Biophys Res Commun</source>. (<year>2006</year>) <volume>344</volume>:<fpage>597</fpage>&#x2013;<lpage>604</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.bbrc.2006.03.176</pub-id>, PMID: <pub-id pub-id-type="pmid">16630552</pub-id>
</mixed-citation>
</ref>
<ref id="B44">
<label>44</label>
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Ohkura</surname> <given-names>K</given-names></name>
<name><surname>Kaku</surname> <given-names>S</given-names></name>
<name><surname>Ohji</surname> <given-names>M</given-names></name>
<name><surname>Tachibana</surname> <given-names>H</given-names></name>
<name><surname>Yamada</surname> <given-names>K</given-names></name>
</person-group>. 
<article-title>Dietary effect of Genbakugenmaisu on immune function of Sprague-Dawley rats</article-title>. <source>Nippon Shokuhin Kagaku Kogaku Kaishi</source>. (<year>2001</year>) <volume>48</volume>:<page-range>14&#x2013;9</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.3136/nskkk.48.14</pub-id>
</mixed-citation>
</ref>
<ref id="B45">
<label>45</label>
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Stephen</surname> <given-names>AM</given-names></name>
<name><surname>Champ</surname> <given-names>MMJ</given-names></name>
<name><surname>Cloran</surname> <given-names>SJ</given-names></name>
<name><surname>Fleith</surname> <given-names>M</given-names></name>
<name><surname>van Lieshout</surname> <given-names>L</given-names></name>
<name><surname>Mejborn</surname> <given-names>H</given-names></name>
<etal/>
</person-group>. 
<article-title>Dietary fibre in Europe: current state of knowledge on definitions, sources, recommendations, intakes and relationships to health</article-title>. <source>Nutr Res Rev</source>. (<year>2017</year>) <volume>30</volume>:<page-range>149&#x2013;90</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1017/S095442241700004X</pub-id>, PMID: <pub-id pub-id-type="pmid">28676135</pub-id>
</mixed-citation>
</ref>
<ref id="B46">
<label>46</label>
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Sonnenburg</surname> <given-names>ED</given-names></name>
<name><surname>Smits</surname> <given-names>SA</given-names></name>
<name><surname>Tikhonov</surname> <given-names>M</given-names></name>
<name><surname>Higginbottom</surname> <given-names>SK</given-names></name>
<name><surname>Wingreen</surname> <given-names>NS</given-names></name>
<name><surname>Sonnenburg</surname> <given-names>JL</given-names></name>
</person-group>. 
<article-title>Diet-induced extinctions in the gut microbiota compound over generations</article-title>. <source>Nature</source>. (<year>2016</year>) <volume>529</volume>:<page-range>212&#x2013;5</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1038/nature16504</pub-id>, PMID: <pub-id pub-id-type="pmid">26762459</pub-id>
</mixed-citation>
</ref>
<ref id="B47">
<label>47</label>
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Chang</surname> <given-names>JWC</given-names></name>
<name><surname>Hsieh</surname> <given-names>JJ</given-names></name>
<name><surname>Tsai</surname> <given-names>CY</given-names></name>
<name><surname>Chiu</surname> <given-names>HY</given-names></name>
<name><surname>Lin</surname> <given-names>YF</given-names></name>
<name><surname>Wu</surname> <given-names>CE</given-names></name>
<etal/>
</person-group>. 
<article-title>Gut microbiota and clinical response to immune checkpoint inhibitor therapy in patients with advanced cancer</article-title>. <source>BioMed J</source>. (<year>2024</year>) <volume>47</volume>:<elocation-id>100698</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.bj.2024.100698</pub-id>, PMID: <pub-id pub-id-type="pmid">38280521</pub-id>
</mixed-citation>
</ref>
<ref id="B48">
<label>48</label>
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Kondo</surname> <given-names>T</given-names></name>
<name><surname>Kishi</surname> <given-names>M</given-names></name>
<name><surname>Fushimi</surname> <given-names>T</given-names></name>
<name><surname>Ugajin</surname> <given-names>S</given-names></name>
<name><surname>Kaga</surname> <given-names>T</given-names></name>
</person-group>. 
<article-title>Vinegar intake reduces body weight, body fat mass, and serum triglyceride levels in obese Japanese subjects</article-title>. <source>Biosci Biotechnol Biochem</source>. (<year>2009</year>) <volume>73</volume>:<page-range>1837&#x2013;43</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1271/bbb.90231</pub-id>, PMID: <pub-id pub-id-type="pmid">19661687</pub-id>
</mixed-citation>
</ref>
<ref id="B49">
<label>49</label>
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Santos</surname> <given-names>HO</given-names></name>
<name><surname>de Moraes</surname> <given-names>WMAM</given-names></name>
<name><surname>da Silva</surname> <given-names>GAR</given-names></name>
<name><surname>Prestes</surname> <given-names>J</given-names></name>
<name><surname>Schoenfeld</surname> <given-names>BJ</given-names></name>
</person-group>. 
<article-title>Corrigendum to &#x201c;Vinegar (acetic acid) intake on glucose metabolism: a narrative review&#x201d; [Clin Nutr ESPEN 32 (2019) 1-7</article-title>. <source>Clin Nutr ESPEN</source>. (<year>2024</year>) <volume>64</volume>:<fpage>92</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.clnesp.2024.09.013</pub-id>, PMID: <pub-id pub-id-type="pmid">39321024</pub-id>
</mixed-citation>
</ref>
<ref id="B50">
<label>50</label>
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Kishi</surname> <given-names>M</given-names></name>
<name><surname>Fushimi</surname> <given-names>T</given-names></name>
<name><surname>Takayama</surname> <given-names>K</given-names></name>
<name><surname>Ohshima</surname> <given-names>Y</given-names></name>
<name><surname>Tsukamoto</surname> <given-names>Y</given-names></name>
<name><surname>Itoh</surname> <given-names>A</given-names></name>
</person-group>. 
<article-title>Safety evaluation of excessive intake of vinegar drink on normal adult subjects</article-title>. <source>J Jpn Soc Clin Nutr</source>. (<year>2006</year>) <volume>27</volume>:<page-range>313&#x2013;20</page-range>.
</mixed-citation>
</ref>
</ref-list>
<fn-group>
<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/2201728">Alice Vilela</ext-link>, University of Tr&#xe1;s-os-Montes and Alto Douro, Portugal</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/1523165">Kulbhushan Thakur</ext-link>, University of Delhi, India</p>
<p><ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/2858864">Li Xingrui</ext-link>, Xinjiang University, China</p>
<p><ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/3147808">Fatih Ku&#x15f;</ext-link>, Ankara Atat&#xfc;rk G&#xf6;&#x11f;&#xfc;s Hastal&#x131;klar&#x131; Ve G&#xf6;&#x11f;&#xfc;s Cerrahisi E&#x11f;itim Ve Ara&#x15f;t&#x131;rma Hastanesi, T&#xfc;rkiye</p></fn>
</fn-group>
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