Analyzes how dietary patterns affect gut microbiome and cardiometabolic markers, suggesting implications for personalized nutrition.
< 0.05), spanning microbial gene functions, plasma metabolites, and urinary metabolites linked to cholesterol, blood pressure, and triglyceride responses. These exploratory findings suggest that integrated microbiome-metabolome profiling may capture inter-individual variation in dietary cardiometabolic responses, though replication in larger, independent, robustly designed studies is needed before translational personalized nutrition strategies can be assessed.
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Stanford et al. (2026) studied this question.
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