Contributors: Centre for Research in Epidemiology and Statistics; Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris Cité (UPCité)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE); École des Hautes Études en Santé Publique (EHESP); Université de Rennes (UR); Institut national d'études démographiques (INED); Physiopathologie et pharmacotoxicologie placentaire humaine : Microbiote pré & post natal (3PHM - UMR-S 1139); Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris Cité (UPCité); Centre de recherche en neurosciences de Lyon - Lyon Neuroscience Research Center (CRNL); Université Claude Bernard Lyon 1 (UCBL); Université de Lyon-Université de Lyon-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS); The ELFE cohort is a joint project between the French Institute for Demographic Studies (INED) and the National Institute of Health and Medical Research (INSERM), in partnership with the French blood transfusion service (Etablissement Français du Sang, EFS), Santé publique France, the National Institute for Statistics and Economic Studies (INSEE), the Direction Générale de la Santé (DGS, part of the Ministry of Health and Social Affairs), the Direction Générale de la Prévention des Risques (DGPR, Ministry for the Environment), the Direction de la Recherche, des Etudes, de l’Evaluation et des Statistiques (DREES, Ministry of Health and Social Affairs), the Département des Etudes, de la Prospective et des Statistiques (DEPS, Ministry of Culture), and the Caisse Nationale des Allocations Familiales (CNAF), with the support of the Ministry of Higher Education and Research and the Institut national de la Jeunesse et de l’Education Populaire (INJEP). The ELFE cohort receives a government grant managed by the National Research Agency under the “Investissements d’avenir” programme (ANR-11-EQPX-0038, ANR-19-COHO-0001). The 16S rRNA sequencing was funded by the Biostime Institute for Nutrition and Care-Geneva (BINC-Geneva). This specific work was supported by a Master’s fellowship grant from BIOCODEX to ZH.; ANR-11-EQPX-0038,RE-CO-NAI,Plateforme de REcherche sur les COhortes d'enfants suivis depuis la NAIssance(2011); ANR-19-COHO-0001,RE-CO-NAI (COHORTES),Resarch platform on cohorts of children followed from birth(2019)
نبذة مختصرة : International audience ; Sleep is essential for children’s well-being, yet insufficient sleep duration and quality are common among preschoolers. The brain–gut microbiota axis, a bidirectional communication network connecting the brain, the gastrointestinal tract, and the microorganisms living there, known as the gut microbiota, influences sleep regulation, but its role in children remains largely unexplored. Here, we examined the association between gut microbiota and sleep in preschoolers from Étude Longitudinale Française depuis l’Enfance (ELFE) birth cohort study. Methods: This study included 597 children (51.2% boys) with available stool samples and sleep data at 3.5 years. The gut microbiota data was analyzed using bacterial 16S rRNA sequencing. Data on day and night sleep durations and frequencies of sleep onset difficulties and night waking were collected through telephone questionnaires and grouped into ‘optimal’ and ‘suboptimal’ clusters using Latent Class Analysis. Statistical analyses involved multivariate logistic regressions or multivariate permutation analysis of variance, controlling for confounders. Results: In total, 25% of the included children were in the suboptimal sleep cluster. No significant associations were found between gut microbiota diversity and composition and sleep clusters at age 3.5 years. Similarly, no differences were found in the abundance of specific microbiota genera between the two sleep clusters. Conclusions: While emerging evidence suggests correlations between gut microbiota and sleep in preschool children, our results do not confirm such correlations. The data used in this study were obtained from a homogeneous, high socioeconomic population, which must be considered when interpreting the findings. Further research is needed to validate the results of this study.
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