Developing and validating prognostic metabolomic signatures of diabetic kidney disease
Description: PROJECT NARRATIVE Kidney disease, a major and common complication of diabetes, can lead to repeated hospitalizations and premature death. There is an urgent need to develop clinical tools that can provide early evidence that a given diabetic patient is likely to progress to kidney disease in the future. In this proposal, we will identify new urinary biomarkers and use novel statistical modeling methods to create a clinically useful algorithm for identifying diabetic patients at high-risk for kidney function decline, with the ultimate goal of improving disease management and reducing mortality rates for these patients.
Funding type: research
Funder scheme: R01
Start date: 2017-04-01
End date: 2023-03-31
Investigator: LOKI NATARAJAN
Institution: UNIVERSITY OF CALIFORNIA, SAN DIEGO
Subfield: Molecular Biology
Domain: Life Sciences
Funded outputs count: 20
Funder award ID: R01DK110541
OpenAlex ID: G6423936447