Microbiome signatures of nutrients, foods and dietary patterns: Potential for personalized nutrition from The PREDICT 1 Study

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The PREDICT 1 study (NCT03479866) enrolled 1,102 healthy US and UK adults to examine the genetic, metabolic, microbial, and meal composition/context contributions to metabolic responses to food. They observed strong associations between overall microbial structure, as well as feature-level associations with nutrients, foods, food groups, and established dietary indices. The strongest associations were with a daily intake of coffee, meat, and dairy foods, and saturated fatty acids. The relationship between a healthy diet, resultant microbial signatures and cardiometabolic outcomes strongly support the interactions between the foods we eat, the bacteria they enrich, and chronic disease outcomes, highlighting the importance of diet quality and diversity in personalized precision nutrition.

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