New methods to analyze microbiome data for health conditions
Official title: Novel Computational Methods for Microbiome Data Analysis in Longitudinal Study
Funded at New York University School of Medicine · NIH-11019830 · Data updated 2026-11-12
This study is working on new ways to look at the tiny organisms in our bodies over time to better understand health issues like obesity, diabetes, and cancer, so we can help people feel better by connecting changes in these organisms to their health.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | New York University School of Medicine NIH-funded |
| Lab location | 1 site (New York, United States) |
| Project start | April 5, 2023 |
| Project end | January 31, 2027 |
| Funding year | 2025 |
| Award (this year) | $343,238 |
| NIH project number | 5R01LM014085-03 |
| Project ID | NIH-11019830 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research include individuals suffering from obesity, diabetes, inflammatory bowel disease, or cancer who are interested in understanding the role of their microbiome in their health.
✕Less likely to help
Patients without any of the targeted conditions or those not interested in microbiome analysis may not benefit from this research.
What this research studies
This research focuses on developing innovative computational methods to analyze microbiome data collected over time, which can help in understanding various health conditions such as obesity, diabetes, inflammatory bowel disease, and cancer. The project aims to create tools that can accurately identify and differentiate microbial strains and their genetic variants from raw sequencing data. By examining how these microbial strains evolve, the research seeks to link changes in the microbiome with specific health traits in individuals. This approach could enhance the clinical utility of microbiome studies and improve patient outcomes.
Why it matters
Potential benefit: If successful, this research could lead to more precise diagnostics and personalized treatment strategies based on an individual's microbiome.
How similar studies have gone: Other research has shown promising results using similar computational approaches in microbiome studies, indicating potential for success in this novel methodology.
Where this research is happening
-
New York University School of Medicine
New York, United States Active
Researchers
- Principal investigator: Li, Huilin — New York University School of Medicine
- Study coordinator: Li, Huilin
Related research
Other NIH-funded projects on the same topics.
-
Actions to Decrease Disparities in Blood Pressure Control for Blacks
Aiming to help Black patients manage high blood pressure by using nurses, community health workers, and home monitoring in real-world clinics.
-
Blood-based markers to identify lung cancer risk in never-smokers
A researchers team at NYU School of Medicine is testing blood tests that might flag higher lung cancer risk in people who have never smoked, helping decide who might need screening.
-
Oxytocin's effect on social brain function in autistic adults
A group at NYU School of Medicine studies how oxytocin affects social thinking and brain activity in adults with autism.
-
COVID-19 healthcare disruptions and heart health inequities in NYC adults with multiple conditions
This project looks at how COVID-19-related gaps in care affected heart health in adults with several chronic conditions in New York City.
-
Connecting TDP-43 Pathology to Molecular Profiles in Neurodegeneration
This grant explores how specific molecular patterns in brain tissue relate to ALS and Alzheimer’s disease features, aiming to improve understanding of disease subtypes and progression.
-
INOCA-mobile heart rehab for angina and breathlessness
A mobile health-based cardiac rehabilitation program is being tested to help people with INOCA feel better and move more.
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.