Actively Recruiting
Nutrition, Gut Microbiota and Health : Feces Sample Collection in NutriNet-Santé Participants
Led by Institut National de la Santé Et de la Recherche Médicale, France · Updated on 2025-04-23
10000
Participants Needed
1
Research Sites
521 weeks
Total Duration
On this page
AI-Summary
What this Trial Is About
The gut microbiota is currently attracting increasing attention from the scientific community and also from the general public, as evidence of its role in human physiology has been highlighted. Microbial signatures have also been associated with various pathologies (e.g. obesity, diabetes, gastrointestinal disorders, neurodegenerative diseases), but the causality of these associations is still uncertain. Among the factors that may influence the composition of the gut microbiota (e.g. lifestyle, hygiene, medication, genetics, environment), nutrition would a major role. The major changes in lifestyle and diet observed over recent decades are strongly suspected of disrpting the host-gut microbiota balance. In addition to their nutrient content, our diets also contain other bioactive compounds (e.g. polyphenols) and raise new issues (e.g. temporal structure of diets, food processing, presence of additives or contaminants such as pesticide residues, intake of dietary supplements, dietary exclusions, glycemic index) that is necessary to take into account. Thus, it is mandatory to explore and characterize in a more precise way, within large samples consisting of individuals with varied characteristics, the way in which the composition of the gut microbiota is influenced by the host's diet and its health consequences. The aim of this research is therefore to study the links between nutrition, gut microbiota profiles and health. To do this, the research will implement large-scale stool sample collection from participants in the NutriNet-Santé cohort ("Nutrinautes"), thus constituting a "microbiota" sub-cohort. A target of N=10,000 participants in the NutriNet-Santé cohort will be recruited on a voluntary basis. A selection will then be made among Nutrinautes willing to participate in the research (which may be more numerous than necessary) to maximize the diversity of profiles. Participants will be informed of their selection or non-selection by e-mail. A second stool sample will also be collected 2-3 months after the first for a sub-sample of N=300 to assess intra-individual variability in microbiota profiles. The selected participants will receive a stool self-sampling kit with detailed instructions by post to their home address. The pseudonymized samples will be returned by mail by the participant to the processing laboratory, which will determine their gut microbiota characteristics by 16S rDNA sequencing and/or " shotgun " sequencing. The gut microbiota profiles will then be analyzed in a pseudonymised manner in association with diet and health, using data collected as part of the NutriNet-Santé cohort follow-up (e.g. food consumption, prevalence and incidence of pathologies, biological data, anthropometric characteristics, medication intake, socio-demographic characteristics, lifestyle).
CONDITIONS
Official Title
Nutrition, Gut Microbiota and Health : Feces Sample Collection in NutriNet-Santé Participants
Who Can Participate
Eligibility Criteria
You may qualify if you...
- Participant in the NutriNet-Sant�e9 cohort
- Age 18 years or older
- Resident of metropolitan France
- Ability to understand written French
You will not qualify if you...
- Person subject to a safeguard of justice measure
- Person belonging to a vulnerable category
- Diagnosis of COVID-19 (clinical or PCR) in the month prior to collection
- Contact with a COVID-19 patient in the month prior to collection
- Suspicion of COVID-19 in the month prior to collection (fever with headache, respiratory symptoms, or loss of smell/taste)
AI-Screening
AI-Powered Screening
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Trial Site Locations
Total: 1 location
1
EREN SMBH Université Sorbonne Paris Nord
Bobigny, France
Actively Recruiting
Research Team
M
Mathilde Touvier
CONTACT
How is the study designed?
Study Type
INTERVENTIONAL
Masking
NONE
Allocation
NA
Model
SINGLE_GROUP
Primary Purpose
OTHER
Number of Arms
1
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