Understanding and guiding treatment for M. avium lung disease
Official title: Systems biology to predict progression and treatment response in M avium complex pulmonary disease
Funded at Mayo Clinic Rochester · NIH-11136859 · Data updated 2026-11-12
This project aims to create tools that help doctors decide the best way to treat lung infections caused by Mycobacterium avium, so patients get the right care at the right time.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Mayo Clinic Rochester NIH-funded |
| Lab location | 1 site (Rochester, United States) |
| Project start | July 11, 2024 |
| Project end | June 30, 2029 |
| Funding year | 2025 |
| Award (this year) | $727,858 |
| NIH project number | 5R01AI172838-02 |
| Project ID | NIH-11136859 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research would be individuals diagnosed with Mycobacterium avium pulmonary disease (MAC-PD).
✕Less likely to help
Patients who do not have Mycobacterium avium pulmonary disease or those whose disease has already been successfully treated may not directly benefit from this specific research.
What this research studies
Many people with Mycobacterium avium lung disease (MAC-PD) face long, difficult treatments with multiple antibiotics, and these treatments don't always work well. Currently, it's hard to know which patients will get better on their own and which ones truly need antibiotics. Our goal is to combine information from patient health records, immune system responses, and how medicines work in the body. We will use advanced computer methods to develop special scores that can predict if your disease might worsen without antibiotics or if your antibiotic treatment might not be effective.
Why it matters
Potential benefit: If successful, these new tools could help doctors personalize treatment plans for MAC-PD, potentially avoiding unnecessary antibiotics and their side effects for some, and ensuring more effective treatment for others.
How similar studies have gone: This approach is novel in its specific combination of clinical, immunological, and pharmacological data with machine learning to create predictive risk scores for MAC-PD progression and treatment response.
Where this research is happening
-
Mayo Clinic Rochester
Rochester, United States Active
Researchers
- Principal investigator: Escalante, Patricio — Mayo Clinic Rochester
- Study coordinator: Escalante, Patricio
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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.