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Eurbio-Alport (RaDiCo Cohort) (RaDiCo Eurbio-Alport)

Institut National de la Santé Et de la Recherche Médicale, France · 2017
ClinicalTrials.gov · Datasets · License: Public Domain · 2017
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quality-of-life
Alport syndrome is a rare, inherited condition characterized by a combination of glomerular nephropathy progressing to kidney failure, deafness, and eye involvement. This disease is associated with mutations in the genes encoding one of the three IV collagen chains expressed in the glomerular basement membrane. Significant progress has been made in understanding the molecular mechanisms responsible for the disease, but relatively little in understanding the progression of renal failure and in the area of therapeutics. We have shown in a retrospective European study that blockers of the renin angiotensin system may slow disease progression, but no controlled studies have been performed. Finally, innovative therapies (anti-micro-RNA, stem cells) have recently shown their effectiveness in animal models of the disease, and industrials are planning to quickly carry out phase 1 trials to test molecules. Carrying out therapeutic trials in humans will require full knowledge of the natural history of the disease (isolated hematuria, microalbuminuria, macroalbuminuria, renal failure and its progression) and gathering a sufficient number of patients, especially in the early stages. These trials and the indications for treatments would be greatly facilitated by the discovery of biomarkers that make it possible to predict the progression to renal failure earlier than the onset of proteinuria. The study aims to: * Establish a European database on Alport syndrome to assess the natural history of the disease. * To investigate the impact of the disease on the educational and professional life of patients and their families, and on the adherence and tolerance to renin-angiotensin system blockers prescribed to proteinuric patients. * Investigate access to molecular diagnostics and genetic counseling, as well as identify biomarkers that can predict progression of kidney disease. This project will be carried out at a French level with the support and participation of the very active
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