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Gut microbiota play a central role in shaping bile acid (BA) metabolism through community-specific capacities for deconjugation, dehydroxylation, and other transformation reactions. Distinct microbiome compositional patterns-often referred to as enterotype-like clusters-correspond to reproducible functional profiles that generate unique BA metabolic signatures with relevance for metabolic and gastrointestinal health. This narrative review synthesizes current evidence describing the interplay between microbial composition, BA metabolism, and metabolic dysfunction. A structured literature search was conducted in PubMed, Web of Science, EMBASE, and Scopus using predefined keywords related to bile acids, microbiome composition, metabolic disorders, and enterotypes. Studies were screened for human clinical relevance and mechanistic insights into BA-microbiome interactions. Across the evidence base, <i>Bacteroides-</i>, <i>Prevotella</i>-, and <i>Ruminococcus</i>-associated community types consistently demonstrate different BA transformation capacities that influence secondary BA production and downstream host signaling through <i>FXR</i> and <i>TGR5</i>. These differences are linked to variation in metabolic dysfunction-associated steatotic liver disease, obesity, type 2 diabetes, inflammatory bowel disease, and colorectal cancer. Host genetic variations in BA synthesis, transport, and signaling further modify these microbiome-BA interactions, contributing to the heterogeneity of dietary intervention responses. Overall, the literature supports a model in which microbiome-derived BA profiles act as metabolic phenotypes that shape host lipid and glucose homeostasis, inflammation, and gut-liver axis integrity. Emerging clinical applications include microbiome-stratified dietary strategies, targeted probiotics with defined BA-modifying functions, and therapeutic approaches that align BA-modulating interventions with an individual's microbial metabolic capacity. Establishing integrated biomarker platforms combining microbiome clustering with BA profiling will be essential for advancing precision nutrition and personalized management of metabolic and gastrointestinal diseases.