Deep phenotyping to map osteoarthritis progression
Official title: A deep phenotyping approach to characterizing osteoarthritis progression
Funded at Henry Ford Health + Michigan State University Health Sciences · NIH-11445771 · Data updated 2026-11-12
A study will combine symptoms, joint structure, and daily activity data to identify patterns that predict osteoarthritis progression and potential biomarkers.
Quick facts
| Grant type | R21 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Henry Ford Health + Michigan State University Health Sciences NIH-funded |
| Lab location | 1 site (East Lansing, United States) |
| Project start | September 18, 2026 |
| Project end | August 31, 2028 |
| Funding year | 2026 |
| Award (this year) | $366,988 |
| NIH project number | 1R21AR082957-01A1 |
| Project ID | NIH-11445771 on NIH RePORTER |
Who could benefit from this research
✓Could help
Adults with osteoarthritis or at high risk for OA progression who can provide clinical data, imaging, and biological samples.
✕Less likely to help
Patients without OA or those not contributing data or samples may not directly benefit.
What this research studies
This project will collect and integrate new and existing data on pain, joint changes seen on imaging, and daily activity to create a unified picture of how OA progresses over time. Using advanced Bayesian methods, researchers will derive a latent phenotype that represents progression risk and link it to microRNA biomarkers. The goal is to identify who is at high risk for worsening OA so future treatments or trials can be targeted to them. The work aims to move beyond looking at symptoms or structure alone by combining multiple factors in a single, interpretable model.
Why it matters
Potential benefit: If successful, patients at high risk of OA progression could be identified earlier and targeted with personalized interventions or trials.
How similar studies have gone: Prior work showed that integrating multiple data types can improve phenotyping, but this project adds longitudinal deep phenotyping and a biomarker angle.
Where this research is happening
-
Henry Ford Health + Michigan State University Health Sciences
East Lansing, United States Active
Researchers
- Principal investigator: Ali, Shabana Amanda — Henry Ford Health + Michigan State University Health Sciences
- Study coordinator: Ali, Shabana Amanda
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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.