Predicting lung disease outcomes in people with myositis
Official title: Myositis-ILD Risk Prediction Models and Endotypes
Funded at University of Pennsylvania · NIH-11193816 · Data updated 2026-11-12
This project combines medical information and genetic markers to predict which people with myositis will have worsening interstitial lung disease.
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 | 2025 |
| Award (this year) | $477,570 |
| NIH project number | 5R01HL169392-02 |
| Project ID | NIH-11193816 on NIH RePORTER |
Who could benefit from this research
✓Could help
Adults with myositis who have or are suspected to have interstitial lung disease, particularly those receiving care at participating North American centers, are the ideal candidates.
✕Less likely to help
People without myositis, those whose lung disease has a different cause, or patients not represented in the study populations are unlikely to benefit directly from this work.
What this research studies
If you have myositis and lung involvement, researchers will use medical records, blood tests for HLA genetics, and other biomarkers from a large group of patients across North America to build a tool that forecasts disease course. They will refine a preliminary model that suggested certain HLA types help predict progression and will follow patients over time to see how well the new model works in diverse groups. The team will compare the new tool to existing scores like GAP-ILD and add novel clinical and lab markers to improve accuracy. The goal is to identify biological subgroups (endotypes) that could guide more personalized treatment choices.
Why it matters
Potential benefit: If successful, this could help doctors identify who needs stronger therapy and who may avoid unnecessary aggressive treatment.
How similar studies have gone: Standard tools like GAP-ILD have performed poorly in myositis-ILD, but preliminary models combining clinical data and HLA genotypes showed promise and now need larger, diverse validation.
Where this research is happening
-
University of Pennsylvania
Philadelphia, United States Active
Researchers
- Principal investigator: Johnson, Cheilonda — University of Pennsylvania
- Study coordinator: Johnson, Cheilonda
Related research
Other NIH-funded projects on the same topics.
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Myositis-ILD Risk Prediction: How ILD Progresses in Myositis Patients
A study to build better tools that predict how lung disease linked to myositis will behave in diverse patients.
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This study is looking into how the Chikungunya virus can cause long-lasting joint and muscle pain in some people, and it aims to find out how the virus sticks around in the body so we can develop better treatments for those who are suffering.
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.