Identification of Robust Metabotypes Associated With Increased Cardiometabolic Disease Risk- an Approach for Improved Prevention Through Precision Nutrition

摘要

We hypothesize that individuals can be grouped into robust metabolic phenotypes (metabotypes) based on biochemical, anthropometric, gut microbial and metabolomics data and that such metabotypes will reflect differences in cardiometabolic disease risk and can act as targets for tailored nutritional prevention. We furthermore hypothesize that diet-gut microbiota interactions will be major determinants of the metabotypes.