Genes & Nutrition · 7 authors, 2 centres
This summary was generated by AI from a single paper. It has not been reviewed by a clinician and is not clinical advice. Verify against the source before acting on it.
This cross-sectional study of 203 adults at risk for type 2 diabetes found that the association between dietary intake (e.g., vegetables) and glucose tolerance differs depending on an individual's metabolic grouping (metabotype), suggesting metabotyping could help tailor dietary advice for precision nutrition.
This cross-sectional study of 203 adults at risk for type 2 diabetes assessed habitual diet via food frequency questionnaire and glucose tolerance via oral glucose tolerance test. Participants were grouped into 'favorable' or 'unfavorable' metabotypes using either standard clinical glycemic cutoffs or NMR metabolomics clustering. The primary finding was a significant interaction where high vegetable intake was associated with better glucose tolerance specifically in the unfavorable clinical metabotype (p=0.01 for interaction), an association confirmed by objective biomarker data (lutein and zeaxanthin). A key limitation is the small, cross-sectional design, which cannot establish causality or fully account for potential confounding variables like age and sex differences between groups. The results suggest the metabolic phenotype influences diet-health relationships, supporting the concept of metabotyping for personalized nutrition.
