Diabetes is a chronic disease most often linked to a family history including obesity and gestational diabetes. Understanding obesity requires the discovery of molecular markers of pre-diabetes specific to each situation, from an early age. The validation of these markers should allow the implementation of targeted preventive interventions in people with a clearly identified risk profile.
Person in charge: Dr. Amélie Bonnefond
Prediction of the incidence of T2DM in families from the DESCENDENCE cohort
The heritability of type 2 diabetes (T2DM) is estimated to be between 40 and 75%. To effectively prevent this disease, it is necessary to identify as early as possible future diabetic patients who are, in most cases, descendants of diabetic patients.
The objective is to genetically and metabolically characterize these families to identify risk profiles of subclinical development of a future T2DM so as to put in place more effective preventive strategies. From the data and samples from the DESCENDANCE cohort, we wish to combine genetic, metabolomic and phenotypic biomarkers, we intend to establish an equation allowing better prevention of T2DM.
Person in charge: Prof. Philippe Froguel
Understanding the fetal epigenic risk in T2DM
Prematurity affects 6% of newborns, with adverse consequences on the subsequent development of these children, in particular an increased risk of T2DM in adulthood. Knowing the nature of the biological biomarkers associated with prematurity would help prevent its early and distant consequences.
This project proposes to identify the epigenetic factors caused by prematurity through the study of the cord blood of premature children, to better understand the mechanisms of accelerated aging in these subjects and to set in motion effective preventive strategies for these chronic diseases. age-related.
Prediction of the incidence of obesity and prediabetes
Obesity in children and adolescents, if not managed, is the main risk factor for the development of chronic obesity in adults and then type 2 diabetes. is therefore important for reducing the incidence of new cases of diabetes and more generally of metabolic diseases.
Our goal is to identify from childhood, thanks to genetics and microbiome analysis, people with a high risk profile so as to put in place monitoring and prevention measures and if necessary to implement a personalized support.