{"title":"Gallstone formation and hepatobiliary tumour risk: Clinical implications of the bile acid–gut microbiota axis","authors":"Rui Li, Yong Zhang, Kaishuang Cai, Shaojun Deng, Chaofeng Tan, Yunjie Li, Wenjin Liang","doi":"10.1002/ctd2.70207","DOIUrl":null,"url":null,"abstract":"<div>\n \n \n <section>\n \n <h3> Background</h3>\n \n <p>Gallstones affect approximately 6%–15% of adults worldwide and represent a common condition that also serves as a risk factor for hepatobiliary malignancies. Conventional ultrasound cannot provide early warning during the early metabolic phase before crystallization occurs.</p>\n </section>\n \n <section>\n \n <h3> Methods</h3>\n \n <p>This narrative review provides a critical synthesis of the mechanisms, clinical evidence, and translational perspectives of the bile acid–gut microbiota axis in gallstone development and hepatobiliary tumour risk. Relevant publications up to September 2026 were identified through searches of MEDLINE/PubMed, EMBASE, and Web of Science, with additional manual screening of reference lists. Randomized clinical trials, systematic reviews, meta-analyses, key mechanistic studies, and guidelines were preferentially included.</p>\n </section>\n \n <section>\n \n <h3> Results</h3>\n \n <p>Patients with gallstones exhibit characteristic alterations, including elevated serum glycocholic acid (+ 0.83 µmol/L) and taurocholic acid (+ 0.51 µmol/L), reduced microbial diversity (<i>Proteobacteria</i> accounting for 91.59%), and a 2.5 - fold increase in <i>bai</i> gene cluster abundance (<i>r</i> = 0.609). Conjugated bile acids show a dose-response relationship with hepatocellular carcinoma risk (OR = 1.28–5.62), while late breakfast increases gallstone risk (OR = 1.435). The combination of dried blood spot sampling (<i>R</i><sup>2</sup> > 0.92) and AI-based prediction models (AUC = 0.82–0.90) offers a feasible approach for dynamic \nmonitoring.</p>\n </section>\n \n <section>\n \n <h3> Conclusions</h3>\n \n <p>This review proposes a three-tiered stratified management strategy—DBS sampling, targeted metabolomics, and AI assessment—to provide a clinical translational reference for early warning and precision prevention of gallstones and hepatobiliary tumours.</p>\n </section>\n </div>","PeriodicalId":72605,"journal":{"name":"Clinical and translational discovery","volume":"6 5","pages":""},"PeriodicalIF":3.1000,"publicationDate":"2026-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/ctd2.70207","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Clinical and translational discovery","FirstCategoryId":"1085","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/ctd2.70207","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Background
Gallstones affect approximately 6%–15% of adults worldwide and represent a common condition that also serves as a risk factor for hepatobiliary malignancies. Conventional ultrasound cannot provide early warning during the early metabolic phase before crystallization occurs.
Methods
This narrative review provides a critical synthesis of the mechanisms, clinical evidence, and translational perspectives of the bile acid–gut microbiota axis in gallstone development and hepatobiliary tumour risk. Relevant publications up to September 2026 were identified through searches of MEDLINE/PubMed, EMBASE, and Web of Science, with additional manual screening of reference lists. Randomized clinical trials, systematic reviews, meta-analyses, key mechanistic studies, and guidelines were preferentially included.
Results
Patients with gallstones exhibit characteristic alterations, including elevated serum glycocholic acid (+ 0.83 µmol/L) and taurocholic acid (+ 0.51 µmol/L), reduced microbial diversity (Proteobacteria accounting for 91.59%), and a 2.5 - fold increase in bai gene cluster abundance (r = 0.609). Conjugated bile acids show a dose-response relationship with hepatocellular carcinoma risk (OR = 1.28–5.62), while late breakfast increases gallstone risk (OR = 1.435). The combination of dried blood spot sampling (R2 > 0.92) and AI-based prediction models (AUC = 0.82–0.90) offers a feasible approach for dynamic
monitoring.
Conclusions
This review proposes a three-tiered stratified management strategy—DBS sampling, targeted metabolomics, and AI assessment—to provide a clinical translational reference for early warning and precision prevention of gallstones and hepatobiliary tumours.