Predicting risks and outcomes for lung disease in myositis patients
Official title: Myositis-ILD Risk Prediction Models and Endotypes
Funded at University of Pennsylvania · NIH-10883025 · Data updated 2026-11-12
This study is looking to help people with interstitial lung disease linked to myositis by finding better ways to predict how their condition will progress, using information from different patients and their genes, so that doctors can provide the right level of care for everyone, no matter where they live.
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 | 2024 |
| Award (this year) | $539,218 |
| NIH project number | 1R01HL169392-01A1 |
| Project ID | NIH-10883025 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are individuals diagnosed with myositis who are also experiencing interstitial lung disease.
✕Less likely to help
Patients with myositis who do not have interstitial lung disease may not benefit from this research.
What this research studies
This research focuses on improving the prediction of long-term outcomes for patients suffering from interstitial lung disease (ILD) associated with myositis. By analyzing a diverse group of patients, the study aims to develop better models that can accurately forecast disease progression using both clinical data and genetic markers. The researchers will refine existing models and validate them across different populations, particularly outside of Asia, to ensure they are applicable to a broader range of patients. This approach seeks to address the current inadequacies in treatment strategies that often lead to either insufficient or overly aggressive care.
Why it matters
Potential benefit: If successful, this research could lead to more accurate prognostic tools that help tailor treatments for myositis-ILD patients, improving their overall care and outcomes.
How similar studies have gone: Previous research has indicated that specific genetic markers can influence disease susceptibility and progression, suggesting that this approach has potential for success.
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.
-
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.
-
Autoantibodies and membrane repair in myositis
A blood and tissue study seeks to understand how immune reactions against muscle repair proteins contribute to inflammatory myositis, with the goal of guiding better treatments for people with this condition.
-
Why chikungunya causes long-lasting joint and muscle pain
This work looks at how chikungunya virus can linger in joint and muscle cells and keep causing pain for people who had the infection.
-
Autoantibodies against muscle membrane repair proteins in myositis
This work looks at whether people with myositis have antibodies that attack proteins that fix damaged muscle cell membranes and how that may cause muscle inflammation and weakness.
-
Predicting lung disease outcomes in people with myositis
This project combines medical information and genetic markers to predict which people with myositis will have worsening interstitial lung disease.
-
Cancer risk in inflammatory muscle disease (myositis)
This project looks for signs in people with idiopathic inflammatory myopathies that show whether they have or might develop cancer.
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.