Gut Microbiome Governs Interindividual Variability in Phytochemical Bioactivation: A Framework for Precision Nutrition
This study investigated interindividual variability in gut microbiome-mediated bioactivation of dietary flavonoids in 131 healthy Korean adults, using an integrated framework combining ex vivo microbial metabolic phenotyping (PMAS), AI-assisted dietary phytochemical quantification (NutriLOG), and free-living clinical monitoring (VitalLOG). Fecal microbiome profiling was performed to characterize conversion capacity across 17 dietary flavonoids and to identify microbial taxa (e.g., SCFA-producing Lachnospiraceae) associated with responder status to model compounds such as daidzein. Sequencing data from this project support the development of the Phyto-Activation Potential Score (PAPS), a machine learning-based tool for stratifying individuals by phytochemical metabolic responsiveness for precision nutrition applications.