Computational Precision Nutrition: Mapping Diet, Microbiome, and Metabolome Interactions in Health and Disease (CPN-Map)

This project aims to investigate how habitual diet shapes the gut microbiome and downstream 
metabolomic profiles in the general population, and how these interactions relate to metabolic health 
and healthy ageing. Using data from the Lifelines cohort, we will integrate dietary intake, gut microbiome, 
metabolomics, and clinical phenotypes using advanced computational and causal modeling 
approaches. The goal is to identify diet–microbiome–metabolome relationships that explain 
interindividual variability in metabolic responses and ageing-related health markers. Lifelines data will 
be used to develop and validate population-based, data-driven models that generate interpretable 
insights into nutrition-related metabolic pathways relevant for disease prevention and healthy ageing.