New Advanced Technology to Improve Prediction & Prevention of Type 1 Diabetes
Abstract
The research hypothesis on which our project is based is that there is a genetic contribution associated with increased risk for developing diabetic complications, specifically diabetic-nephropathy. That identifying SNP markers linked to this phenotype will enable improved prediction ultimately leading to advances in the prevention of this severe life threatening disease. The final aim of the entire project will be to provide a means to genetically test military personnel and families for their risk for developing diabetes and its complications. Before collecting samples from military personnel, we set out to demonstrate proof of principle by recruiting diabetics and their family members, who were visiting our Diabetes Clinic and the satellite clinic in Johnstown, and analyzing their specimens. Aim A.1 of the project is to build a prototype Research Sample Repository to receive, catalog, and store DNA, serum and urine samples from diabetics and their relatives to allow efficient HLA typing and mapping of genes promoting diabetes-associated complications, with particular emphasis on diabetic nephropathy initially, and then on retinopathy and finally on neuropathy, to compound them in an efficient predictive protocol for type 1 diabetes. Sub-Aim A.1.1 uses index cases to ascertain, recruit and prepare DNA for all appropriate members of families in which diabetic end-stage renal disease has occurred. Sub-Aim A.1.2 is to determine whether diabetic-nephropathy is linked to any of the proposed candidate genes. Aim A.2 of the research is to use proteomic analysis of specimens from complications affected patients and, by comparing them with diabetic patients without complications, to identify possible biomarkers for evaluating likelihood and/or severity of an individual's risk for developing diabetic complications and eventually propose possible lines of preventive treatments.
Document Details
- Document Type
- Technical Report
- Publication Date
- Nov 01, 2004
- Accession Number
- ADA430563
Entities
People
- Massimo Trucco