Diabetic Nephropathy Clinical Trials

The Family Investigation of Nephropathy and Diabetes (FIND) is a multicenter study designed to identify genetic determinants of diabetic kidney disease. FIND will be conducted in eleven centers and in many ethnic groups throughout the United States. Two different strategies will be used to localize genes predisposing to kidney disease: a family-based genetic linkage study and a case-control study that utilizes admixture linkage disequilibrium. The center based at the Phoenix office of the National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK-Phoenix) will conduct family-based linkage studies among American Indian populations in the southwestern United States. Participants (index cases) with diabetes and kidney disease will initially be recruited, and their parents and siblings will also be invited to participate. Genetic material from these participants will be used to genotype markers throughout the genome. Linkage analysis will be conducted to identify particular chromosomal regions containing genes that influence susceptibility to diabetic kidney disease. Linkage analyses will also be used to identify genes influencing traits related to diabetic kidney disease, such as serum creatinine, urinary protein excretion, plasma glucose levels, blood pressure and blood lipid levels. Regions that show evidence for linkage will then be examined in more detail, with both genetic linkage and association studies, to attempt to identify the specific genes that influence diabetic kidney disease, or related traits. The identification of genes that influence susceptibility to diabetic kidney disease will lead to a better understanding of how kidney disease develops. In the long run, this may lead to improved treatment and prevention of diabetic kidney disease. Read Less

A central goal of this data repository is to collect data from a large population of subjects with a variety of renal disease states. Cohorts will include subjects with diabetes, inflammatory/autoimmune and transplant related renal conditions. Additionally, the repository will have the capacity to store biospecimens and electronic data in control subjects without established renal disease. This initiative will provide an opportunity to compare data from various disease states and controls with the objective of determining clinical and biological factors that predict disease progression, response to therapy and identify discriminating noninvasive clinical and biological features that predict renal biopsy findings. Read Less