Precision Medicine Approach to Unravel the Risk Factors for Renal, Cardiovascular, Ophthalmologic, Neurologic and Hepatic Complications of Metabolic Disorders
NCT05307172 · Status: WITHDRAWN · Type: OBSERVATIONAL
Last updated 2025-05-16
Summary
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.
Conditions
Sponsors & Collaborators
-
Centre Hospitalier Universitaire, Amiens
collaborator OTHER -
Biobanque de Picardie
collaborator UNKNOWN -
Institut National de la Santé Et de la Recherche Médicale, France
lead OTHER_GOV
Eligibility
- Min Age
- 18 Years
- Max Age
- 65 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2022-05-03
- Primary Completion
- 2032-05-03
- Completion
- 2032-05-03
Countries
- France
Study Locations
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