Stopped: No inclusion within 2 years of approval by CPP
There is currently no way to predict the progression of chronic kidney disease in patients with metabolic disease(s). Furthermore, the mechanisms responsible for the development and/or progression of complications remain largely unknown. In order to identify the predictive factors and/or mechanisms involved in the different complications of these diseases, we propose an approach coupling : * a classical phenotypic characterization (clinical, biological, imaging) of the patients * high-throughput screening of the genome, transcriptome, metabolome, proteome, and immunophenotyping. According to our hypothesis, this approach should allow : * Early detection of complications * Classification of patients in homogeneous groups of patients with identical evolution * Identification of the molecular mechanisms involved.
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AI-rewrites the medical criteria so a patient or caregiver can understand them. Always confirm with the trial site.
the rate of annual decline in glomerular filtration rate (GFR year n+1 - GFR year n) measured by iohexol clearance
Timeframe: from day 1 of inclusion, up to 7 years