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New Participatory Research Strategy and Multidimensional Phenotyping Towards Personalized Preventive Nutritional Support for Elderly People

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Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement · 2024

Abstract

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.

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ClinicalTrials.gov
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2026-05-31 MST

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APA
Anonymous. (2024). New Participatory Research Strategy and Multidimensional Phenotyping Towards Personalized Preventive Nutritional Support for Elderly People. <em>Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement</em>. https://clinicaltrials.gov/study/NCT06163794
Vancouver
Anonymous. New Participatory Research Strategy and Multidimensional Phenotyping Towards Personalized Preventive Nutritional Support for Elderly People. Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement. 2024.
BibTeX
@misc{anon2024NewPar, title = {New Participatory Research Strategy and Multidimensional Phenotyping Towards Personalized Preventive Nutritional Support for Elderly People}, author = {Anonymous}, journal = {Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement}, year = {2024}, }

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