Gut Bacteria and Brain of the Baby

To associate preterms microbial profiles (bacteria and fungi; alpha- and beta-diversity, abundancies and complex interactions between neonatal microbiotas) and psychomotor outcomes at 2 years of corrected age using the 'Ages and Stages Questionnaire' survey. Each questionnaire includes 30 items covering five developmental domains: communication abilities, gross motor skills, fine motor skills, problem solving abilities, and personal-social skills. Items are scored on a three point scale depending on whether the child performs the task: yes (10 points), sometimes (5 points), or not yet (0 points). Responses are summed to give a score of 0 to 60 for each domain and an overall maximum ASQ score of 300 points. Analyses were based on domain specific scores, using established screening cut-off points: an ASQ score below threshold was defined as a score lower than 2 standard deviations from the mean on any of the five domains.

Pearson correlation values between maternal microbiota composition and infant gut microbiota composition from birth up to 2 years at corrected age..

.Pearson correlation values between maternal microbiota composition and infant gut microbiota composition from birth up to 1 year at corrected age.

Pearson correlation values between bacterial (16S) and fongal (18S) microbiota composition in infant from birth up to 1 year at corrected age.

Pearson correlation values between bacterial (16S) and fongal (18S) microbiota composition in infant from birth up to 2 years at corrected age.

• Correlation between maternal dietary profiles (food questionnaire completed by the mother the week after delivery) and maternal microbiota. Associations between clinical metadata, dietary profiles and microbial community abundance will be investigate by Multivariate Association with Linear Models (MaAslin).

• Correlation between maternal dietary profiles (food questionnaire completed by the mother the week after delivery) and maternal microbiota. Associations between clinical metadata, dietary profiles and microbial community abundance will be investigate by Multivariate Association with Linear Models (MaAslin).

• Correlation between maternal dietary profiles (food questionnaire completed by the mother the week after delivery) and maternal milk (a sample of milk drunk by the preterm at the 7th postnatal day, if not possible between the 7th and the 10th postnatal days) composition. The interactions will be assessed by Pearson correlation analysis and drewing the interaction network using Cystoscape package in R.

• Correlation between maternal maternal dietary profiles (food questionnaire completed by the mother the week after delivery) and maternal milk (a sample of milk drunk by the preterm at the 7th postnatal day, if not possible between the 7th and the 10th postnatal days) composition and preterms gut microbiotas collection of infant feces: the first sample after birth and once a week during the period of hospitalization of the baby (i.e. 5 to 8 samples per infant) and a sample collected at the corrected age of 1 year and 2 years (i.e. 8 to 10 samples per infant). Associations between clinical metadata, dietary profiles and milk composition, and microbial community abundance will be investigate by Multivariate Association with Linear Models (MaAslin) and by applying Markov Decision Process (MDPs) to take into account the analysis of microbiota dynamics

Correlation between 1-y infant dietary profile and 1-y infant gut microbiota composition. Associations between infant dietary profiles and microbial community abundance will be investigate by Multivariate Association with Linear Models (MaAslin) and by applying Markov Decision Process (MDPs) to take into account the analysis of microbiota dynamics

Correlation between 1-y infant dietary profile and 2-y infant gut microbiota composition. Associations between infant dietary profiles and microbial community abundance will be investigate by Multivariate Association with Linear Models (MaAslin) and by applying Markov Decision Process (MDPs) to take into account the analysis of microbiota dynamics

Functional activity of gut microbiota (in vitro test using 1-y infant fecal samples). Endocrine and barrier function responses of an in vitro tricellular model of intestinal epithelium (including enterocytes, mucin-secreting cells and entero-endocrine cells) to the stimulation by fecal water from 1-y infant feces will be characterized.

Functional activity of gut microbiota (in vitro test using 1-y infant fecal samples). Endocrine and barrier function responses of an in vitro tricellular model of intestinal epithelium (including enterocytes, mucin-secreting cells and entero-endocrine cells) to the stimulation by fecal water from 1-y infant feces will be characterized.