Myositis-ILD Risk Prediction: How ILD Progresses in Myositis Patients
Official title: Myositis-ILD Risk Prediction Models and Endotypes
Funded at University of Pennsylvania · NIH-11416500 · Data updated 2026-11-12
A study to build better tools that predict how lung disease linked to myositis will behave in diverse patients.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Pennsylvania NIH-funded |
| Lab location | 1 site (Philadelphia, United States) |
| Project start | September 17, 2024 |
| Project end | June 30, 2028 |
| Funding year | 2026 |
| Award (this year) | $467,601 |
| NIH project number | 5R01HL169392-03 |
| Project ID | NIH-11416500 on NIH RePORTER |
Who could benefit from this research
✓Could help
Adults with myositis-associated interstitial lung disease participating in a large multicenter North American cohort.
✕Less likely to help
Patients without myositis-ILD or those not fitting the study’s biomarker or demographic criteria may not benefit from the model.
What this research studies
This project aims to create and validate a model that predicts progression-free survival for patients with myositis-associated interstitial lung disease (ILD) using clinical data and genetic markers. By gathering a large, diverse cohort across North America, researchers will refine prediction tools that capture the heterogeneity of myositis-ILD and improve how clinicians tailor treatment. The team will test how well the model generalizes beyond Asian populations and identify biomarkers, including HLA haplotypes, linked to disease activity and response to therapy. The work will involve analyzing longitudinal patient data and integrating biomarkers to produce a clinically usable risk tool. The ultimate goal is to help patients and clinicians make informed decisions about management and prognosis.
Why it matters
Potential benefit: If successful, patients with myositis-ILD could receive more accurate prognoses and personalized treatment plans that avoid under- or over-treatment.
How similar studies have gone: Prior models like GAP-ILD performed poorly in myositis-ILD, and this project aims to improve upon them with diverse data and novel biomarkers.
Where this research is happening
-
University of Pennsylvania
Philadelphia, United States Active
Researchers
- Principal investigator: Johnson, Cheilonda — University of Pennsylvania
- Study coordinator: Johnson, Cheilonda
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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.