Search bioRxiv⌕ Search

Biology subjects

Mondot, S.

Publications and source records attributed to Mondot, S..

2 recordsLinked to original sources

Adaptive immunity shapes innate and epithelial cell landscapes by silencing tonic IFN-gamma in innate lymphoid cells during homeostasis.

During homeostasis, innate and epithelial cells undergo continuous maturation, shaped by microbial, molecular and cellular interactions. While these cells influence adaptive immunity during steady-state conditions, the reciprocal homeostatic role of adaptive immune cells in the maturation and function of innate and epithelial cells remains underexplored. Here, through computational approaches and murine models, we establish that adaptive immunity shapes innate immune and epithelial homeostatic landscapes. Mechanistically, adaptive immunity acts as a brake on type 1 polarization and diversification of innate lymphocytes (ILCs). Without adaptive immunity, the innate cellular interactions within the mesenteric lymph nodes are dominated by an interferon-gamma (IFN{gamma}) signaling network. Moreover, the innate immune and epithelial cells follow distinct phenotypic and functional trajectories, including ILCs acquiring myeloid markers, monocytes adopting an inflammatory path, and colonic epithelial cells expressing altered antimicrobial peptides and losing Paneth-like features. Depleting ILCs, abolishing IFN{gamma} signaling, or restoring adaptive immunity reduces these IFN{gamma}-driven changes. Thus, our findings highlight a homeostatic function of adaptive immunity in modulating innate and epithelial cell communication, diversity, composition, function, and differentiation, notably by limiting ILC-derived IFN{gamma}.

immunology↗

A Comprehensive Assessment of Demographic, Environmental and Host Genetic Associations with Gut Microbiome Diversity in Healthy Individuals

BackgroundThe gut microbiome is an important determinant of human health. Its composition has been shown to be influenced by multiple environmental factors and likely by host genetic variation. In the framework of the Milieu Interieur Consortium, a total of 1,000 healthy individuals of western European ancestry, with a 1:1 sex ratio and evenly stratified across five decades of life (age 20 - 69), were recruited. We generated 16S ribosomal RNA profiles from stool samples for 858 participants. We investigated genetic and non-genetic factors that contribute to individual differences in fecal microbiome composition. ResultsAmong 110 demographic, clinical and environmental factors, 11 were identified as significantly correlated with -diversity, {beta}-diversity or abundance of specific microbial communities in multivariable models. Age and blood alanine aminotransferase levels showed the strongest associations with microbiome diversity. In total, all non-genetic factors explained 16.4% of the variance. We then searched for associations between >5 million single nucleotide polymorphisms and the same indicators of fecal microbiome diversity, including the significant non-genetic factors as covariates. No genome-wide significant associations were identified after correction for multiple testing. A small fraction of previously reported associations between human genetic variants and specific taxa could be replicated in our cohort, while no replication was observed for any of the diversity metrics. ConclusionIn a well-characterized cohort of healthy individuals, we identified several non-genetic variables associated with fecal microbiome diversity. In contrast, host genetics only had a negligible influence. Demographic and environmental factors are thus the main contributors to fecal microbiome composition in healthy individuals.

genomics↗