Trancriptomics and Lipidomics of Epicardial Ectopic Fat

Cohort studies have shown that patients with obesity associated with metabolic abnormalities (metabolically unhealthy obesity) have an accumulation of ectopic fat deposits (EDF) linked to subcutaneous adipose tissue dysfunction. Although it is accepted that the storage capacity of subcutaneous adipose tissue is genetically determined, the genetic factors predisposing to adipose tissue distribution abnormalities remain poorly understood. The Angiosafe T2D cohort consists of 7200 highly phenotyped type 2 diabetes (T2D) patients. In 297 patients from this cohort (ancillary study), investigators assessed epicardial fat volume (EFV) using an artificial intelligence algorithm. In 42 of these patients, designated as early T2DM/DGE, an accumulation of epicardial fat and diabetes occurring before the age of 40 were observed, clinically approaching the clinical presentation of genetic lipodystrophy, although subcutaneous adipose tissue persisted in their case. This study will focus on a case-control study nested within the pre-existing cohort of T2D patients (Angiosafe T2D), and more specifically within this cohort on a subgroup of 42 patients with early-onset diabetes and an abnormal distribution of adipose tissue caracterized by ectopic fat accumulation. In order to understand the severe metabolic phenotype observed in this group of 42 patients, investigators propose to perform a multiomic analysis combining clinico-biological, exomic, transcriptomic and lipidomic data. This study will compare the rate of patients with at least one rare (\<1% general population) potentially pathogenic genetic variant in a coding region of the genetic lipodystrophy genes by whole exome sequencing in 42 early-onset T2DM and a high epicardial fat volume patients versus 42 patients without early-onset T2DM and/or high epicardial fat volume (control group).