Multidimensional Phenotyping Towards Personalized Preventive Nutritional Support for Elderly People

There is high inter-individual variability in the response to feeding, which is determined by multiple interacting factors such as age, sex, genotype, gut microbiota, eating behaviors, physical activity or even socio-demographic factors. Original studies have recently demonstrated the possibility of predicting the postprandial response to the diet of healthy individuals on the basis of in-depth phenotyping, and of offering them foods adapted to their own metabolic capacities according to their belonging to different groups of individuals defined on the basis of the similarity of their metabolic capacities. Due to different life trajectories, inter-individual variability could be amplified upon entry into the aging period, which could explain at least in part why traditional strategies for managing chronic age-related pathologies are insufficient. The investigators aim is to propose a new strategy to better understand inter-individual variability in the response to food in the elderly based on deep phenotyping.

NCT Number	NCT06163794
Lead Sponsor	Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement
Conditions	Non Dependant 60 to 75 Year-old Men and Women
Enrollment	250 participants
Start Date	2024-02-14
Primary Completion	2026-06-30 (estimated)
Study Completion	2027-03 (estimated)
Updated on ClinicalTrials.gov	2026-03-27