Actively Recruiting
Multidimensional Phenotyping Towards Personalized Preventive Nutritional Support for Elderly People
Led by Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement · Updated on 2026-03-27
250
Participants Needed
3
Research Sites
158 weeks
Total Duration
On this page
AI-Summary
What this Trial Is About
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.
CONDITIONS
Official Title
Multidimensional Phenotyping Towards Personalized Preventive Nutritional Support for Elderly People
Who Can Participate
Eligibility Criteria
You may qualify if you...
- Grip strength of at least 16 kg for women and 26 kg for men, measured with a dynamometer
- Body mass index (BMI) between 21 and 35
- Living in rural, peri-urban, or urban areas as defined by the Territorial Observatory
- Cognitively able to perform tests and answer questionnaires as judged by a doctor and Mini-Mental State Examination (MMSE)
- Available to complete the entire study protocol
- Biological assessments considered compatible with study participation by the investigator
- Willing to provide written consent and register in the national volunteer research file
- Covered by a social security system
You will not qualify if you...
- Treated diabetes
- Sub-acute illness (such as flu, gastroenteritis, bacterial infection) or trauma (fracture, surgery) within 30 days before joining
- Liver failure
- Decompensated heart failure
- Kidney failure with clearance below 30 ml/min
- Chronic anti-inflammatory or long-term corticosteroid treatment over 1 month, or recent infiltrations
- Antibiotic treatment within 30 days before joining
- Progressive diseases like cancer at the time of inclusion
- Gastrointestinal conditions incompatible with the study
- Eating habits incompatible with the protocol (allergies, intolerances, aversions, vegan or ketogenic diets)
- Unstable thyroid diseases
- Intense physical activity over 10 hours per week causing breathlessness and sweating
- Listed in the National File of Healthy Volunteers as excluded
- Psychiatric or cognitive disorders preventing informed consent
- Under guardianship, curatorship, deprived of freedoms, or legal protection
AI-Screening
AI-Powered Screening
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Trial Site Locations
Total: 3 locations
1
Pic / Cic-Inserm 1405
Clermont-Ferrand, France, France, 63000
Actively Recruiting
2
Plateforme d'Exploration de la Mobilité (CHU Clermont-Ferrand)
Clermont-Ferrand, France, 63009
Actively Recruiting
3
Centre de Recherche en Odontologie Clinique, Faculté de Chirurgie Dentaire
Clermont-Ferrand, France, 63100
Actively Recruiting
Research Team
S
Sergio Polakof, Ph D
CONTACT
C
Claudine Manach, Ph D
CONTACT
How is the study designed?
Study Type
INTERVENTIONAL
Masking
NONE
Allocation
NA
Model
SINGLE_GROUP
Primary Purpose
PREVENTION
Number of Arms
1
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