Biomarker clues from animal and computer models to predict when the ascending aorta could fail
Official title: Complementary animal and computational models for biomarker identification in ascending thoracic aortic aneurysm
Funded at Utah State Higher Education System--University of Utah · NIH-11465647 · Data updated 2026-11-12
Researchers will combine animal studies and computer models to find biological clues that help predict dangerous changes in the ascending aorta for people with aortic aneurysm.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Utah State Higher Education System--University of Utah NIH-funded |
| Lab location | 1 site (Salt Lake City, United States) |
| Project start | July 1, 2022 |
| Project end | July 31, 2030 |
| Funding year | 2026 |
| Award (this year) | $731,522 |
| NIH project number | 2R01HL164800-05 |
| Project ID | NIH-11465647 on NIH RePORTER |
Who could benefit from this research
✓Could help
Patients with ascending thoracic aortic aneurysm or those at risk due to aorta enlargement may benefit from advances in risk assessment.
✕Less likely to help
Individuals without ATAA or related aortic conditions are unlikely to benefit from this research.
What this research studies
This project uses mouse models and human tissue data, along with advanced computer simulations, to identify local biomarkers and mechanical signals that indicate aorta failure risk. The team will track how the aneurysm grows and when it might tear or rupture, aiming to improve risk estimates beyond just aortic size. By integrating geometrical, structural, and fluid-pressure data, the study seeks to build a multiscale model that can guide better clinical decisions for patients with ATAA.
Why it matters
Potential benefit: If successful, the research could lead to more accurate predictions of rupture risk and improved timing for interventions, potentially saving lives.
How similar studies have gone: Prior work suggests that combining biological markers with modeling can improve risk assessment, though this exact multiscale approach is innovative.
Where this research is happening
-
Utah State Higher Education System--University of Utah
Salt Lake City, United States Active
Researchers
- Principal investigator: Wagenseil, Jessica — Utah State Higher Education System--University of Utah
- Study coordinator: Wagenseil, Jessica
Related research
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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.