Microbiote intestinal et développement de l’obésité : une approche par métagénomique et métabolomique du concept de répondeur et non-répondeur

摘要

In recent years, numerous studies have examined the relationship between the gut microbiota and obesity. Bacterial groups have been incriminated but the mechanisms linking microbiota and obesity remain largely unknown. Intestinal microbiota consists of several hundred species and is specific for each individual. Recently, it was revealed that the potential contribution of microbiota in the development of obesity. In a previous study, our team has shown that mice without germs (called "germ-free") are resistant to obesity and metabolic disorders induced by a high calorie diet (Roy et al. 2012). Furthermore, we observed that certain conventional mice subjected to such a plan develop an important obesity and insulin resistance (responder phenotype) while others remain thin and glucose tolerant (non responder phenotype) regardless of the amount of food consumed. The mechanisms explaining this phenotype heterogeneity are currently poorly known. This PhD project aims to elucidate the mechanisms linking the intestinal microbiota in the development of obesity and disorders associated with the assumption that heterogeneity (in terms of composition and functions) of the intestinal microbiota, specific for each individual ( both in humans than in rodents), plays a role in these different responses to the same high-fat diet. To do this, conventional mice received control diet or a high fat diet for 12 weeks. At the end of this diet, mice were selected as a responder or non-responder A metagenomics approach from fecal samples taken before and after high fat diet and from responder and non-responder mice were analyzed. Microbiota profiles before and after fat diet were compared to determine the effects of this diet on the intestinal microbiota. In addition, the profile of the microbiota of responder mice was compared to that of non-responder mice in order to detect bacterial species, genes or pathways under- or over-represented in both phenotypes. Furthermore, samples of feces, urine and plasma collected before and after fat diet were analyzed by metabolomics and we have analyzed the metabolic changes induced by the effect of diet. All of this work has been aimed to identify if there is a predisposition microbiota to the development or the resistance of induced obesity. In this PhD project we used the metagenomic approach from fecal sample to identify the profiles of the intestinal microbiota in mice NR and R mice before and after fat diet in order to measure the impact of this type of diet on the microbiota, and especially to detect bacterial species, genes or metabolic pathways potentially under- or over-represented in both phenotypes. On the other hand, the approach of metabolomics has been used on samples of urine, feces and plasma before and after diet in order to visualize the metabolic changes induced by the effect of diet on the one hand and to identify metabolites (biomarkers) associated with each other hand phenotypes.