Understanding sex differences in heart disease risk for people with diabetes
Official title: Project 3 Yoshida
Funded at Tulane University of Louisiana · NIH-11017009 · Data updated 2026-11-12
This study is looking at how being a woman or a man with type 2 diabetes affects the chances of developing heart disease, especially since younger women with diabetes seem to be at greater risk, and it aims to find ways to better predict and prevent these heart issues.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Tulane University of Louisiana NIH-funded |
| Lab location | 1 site (New Orleans, United States) |
| Project start | February 1, 2024 |
| Project end | December 31, 2028 |
| Funding year | 2025 |
| Award (this year) | $270,401 |
| NIH project number | 5P20GM152305-02 |
| Project ID | NIH-11017009 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research include women and men with early-onset type 2 diabetes, particularly those experiencing obesity-related health issues.
✕Less likely to help
Patients with late-onset type 2 diabetes or those without significant cardiovascular risk factors may not benefit from this research.
What this research studies
This research aims to explore how sex disparities affect the risk of cardiovascular disease (CVD) in individuals with type 2 diabetes (T2D). It focuses on understanding why women with early-onset T2D face a higher risk of CVD compared to men, particularly as obesity rates rise among younger populations. The study will utilize advanced machine learning techniques to analyze data and improve predictions of cardiovascular risks based on sex-specific factors. By examining the life-course perspective of diabetes and its complications, the research seeks to provide insights that could lead to better prevention and treatment strategies.
Why it matters
Potential benefit: If successful, this research could lead to improved risk prediction and tailored prevention strategies for cardiovascular disease in women with diabetes.
How similar studies have gone: Previous research has shown promise in using machine learning to predict complications in diabetes, but this specific focus on sex disparities is relatively novel.
Where this research is happening
-
Tulane University of Louisiana
New Orleans, United States Active
Researchers
- Principal investigator: Yoshida, Yilin X — Tulane University of Louisiana
- Study coordinator: Yoshida, Yilin X
About this research
- This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
- Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
- For full project details, budget, and progress reports, visit the official NIH RePORTER page.