health · HHS-NIH11
Single Source for the Continuation of the Epidemiology of Diabetes Interventions and Complications (EDIC) Study Research Center (Collaborative U01 Clinical Trial Not Allowed)
National Institutes of Health · RFA-DK-27-112
Total Program Funding
$6.3M
Expected Awards
1
Deadline
TBD
GRANTQUICK SUMMARYPlain-English Overview
Single Source for the Continuation of the Epidemiology of Diabetes Interventions and Complications (EDIC) Study Research Center (Collaborative U01 Clinical Trial Not Allowed). National Institutes of Health. The primary purpose of this FOA is to support the EDIC Research Center in continuing long-term follow-up of the EDIC cohort to study the development and progression of complications in type 1 diabetes (T1D). The research will address severe microvascular disease, cardiovascular and liver... $6,300,000 total program funding; ~1 awards expected.
Who Should Apply
Public universities/colleges, Private universities/colleges
Who Should NOT Apply
Individuals and organizations outside the specified eligible types
Key Requirements (Plain English)
- •This is a Forecast for a single source competition that will invite application(s) from eligible organization(s) to apply
💡 GrantQuick Tip
High-value award — invest significantly in proposal quality. Consider hiring a grant writer.
Competitiveness: Very high — extremely limited awards available
What This Grant Funds
The primary purpose of this FOA is to support the EDIC Research Center in continuing long-term follow-up of the EDIC cohort to study the development and progression of complications in type 1 diabetes (T1D). The research will address severe microvascular disease, cardiovascular and liver disease, sleep disorders, mortality, and other comorbidities. The goals are to investigate the trajectory of age-related morbidities such as cognition, physical function, and frailty, and to identify their associations with risk factors that affect quality of life, self-management, and caregiver burden. Particular emphasis will be placed on evaluating the impact of emerging therapies, including SGLT2 inhibitors and GLP-1 receptor agonists, on renal and cardiovascular outcomes.
The initiative also encourages the application of advanced statistical methods, including machine learning and artificial intelligence, to identify phenotypes that are either susceptible or resilient to diabetes-related complications. Modern technologies, such as continuous glucose monitoring, coronary calcification imaging, and vascular tonometry, will be used and compared with data from existing cohorts. In addition, the program will support assessments of obesity-related outcomes and comorbidities—including metabolic-associated steatotic liver disease (MASLD) and obstructive sleep apnea (OSA)—within the increasingly overweight/obese T1D population. Multi-omic approaches to identify biochemical signatures associated with complications are also expected. Finally, the leveraging of external databases to examine the cost-effectiveness and quality-of-life impact of intensive therapy across the lifespan will be encouraged.
This is a Forecast for a single source competition that will invite application(s) from eligible organization(s) to apply. Please see Eligibility Section for additional information. In accordance with NIH standard peer-review processes, the application(s) will be peer-reviewed, and only meritorious application(s) will be considered for funding.
Who Can Apply
Eligible Applicant Types
Funding Details
- Total Program Funding
- $6.3M
- Expected Number of Awards
- 1
- Cost Sharing Required?
- No
- Funding Instrument
- cooperative_agreement
Key Dates
Agency Contact
Division of Diabetes, Endocrinology and Metabolic Diseases NIDDK_DEM@nih.gov
NIDDK_DEM@nih.govReady to apply?
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