Federal Grant Award Summary

The National Institute of Diabetes and Digestive and Kidney Diseases awarded The Johns Hopkins University a Project Grant of $116,625 effective July 1, 2026 through June 30, 2028 under the Diabetes, Digestive, and Kidney Diseases Extramural Research program (CFDA 93.847). The grant supports a two-year secondary data analysis research initiative to identify and validate novel cardiometabolic subtypes in individuals with prediabetes using machine-learning methods. The primary deliverables include the derivation of prediabetes clusters based on cardiometabolic risk factors (including adiposity, liver function, and lipid profiles) and evaluation of associations between these subtypes and clinical outcomes including diabetes incidence, cardiovascular disease, chronic kidney disease, and mortality across multiple U.S. cardiovascular epidemiologic cohorts.

This research addresses a critical gap in precision medicine by advancing risk stratification in prediabetes beyond standard glycemic measures. The project will generate evidence-based cardiometabolic subtype classifications intended to enable improved identification of prediabetic individuals who would benefit most from targeted lifestyle and therapeutic interventions, thereby supporting enhanced clinical decision-making and preventive health strategies. Work will be conducted in Baltimore, Maryland at The Johns Hopkins University.