Background Gallstone disease (GSD) represents a major global health burden with complex pathophysiology involving bile microbiome dysbiosis and metabolic dysfunction. Although previous studies have examined bile microbial communities, the relationship between bile microbiome composition and specific lipid phenotypes remains incompletely understood. Methods We conducted a cross-sectional study of 28 adults undergoing cholecystectomy for radiologically and pathologically confirmed gallstones. Bile samples were collected intraoperatively and subjected to 16S ribosomal ribonucleic acid V3–V4 region sequencing. Patients were stratified by lipid subtypes based on contemporary dyslipidaemia guidelines. Microbial diversity, community structure and differential abundance analyses were performed alongside machine learning classification. Results The bile microbiome exhibited distinct compositional patterns between the hypertriglyceridaemia (HTG) and non-HTG (NTG) groups, with key phyla (Proteobacteria, Firmicutes) showing group-specific abundance trends and alpha diversity indices reflecting reduced evenness in HTG. Beta diversity analyses demonstrated mild-to-moderate separation between groups, and the linear discriminant analysis effect size technique identified discriminatory taxa with potential functional relevance. Random forest classification achieved moderate accuracy in predicting lipid subtypes based on microbial features. Conclusions This study revealed associations between bile microbiome composition and systemic lipid metabolism in GSD, suggesting potential mechanistic links through bile acid metabolism and farnesoid X receptor–fibroblast growth factor 19 signaling pathways.
Wang et al. (Mon,) studied this question.