Understanding how Candida and gut bacteria interact to prevent infections
Official title: Mathematical Modeling Core
Funded at Sloan-Kettering Inst Can Research · NIH-11061767 · Data updated 2026-11-12
This study is looking at how different types of Candida yeast interact with gut bacteria and our immune system, to help us understand how to better fight off infections caused by Candida, especially in people who may be at risk.
Quick facts
| Grant type | P01 program project |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Sloan-Kettering Inst Can Research NIH-funded |
| Lab location | 1 site (New York, United States) |
| Project start | April 1, 2024 |
| Project end | March 31, 2029 |
| Funding year | 2025 |
| Award (this year) | $398,250 |
| NIH project number | 5P01AI179406-02 |
| Project ID | NIH-11061767 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research include individuals at risk for Candida infections, such as those with compromised immune systems or undergoing antibiotic treatment.
✕Less likely to help
Patients who do not have a risk of Candida infections or those with unrelated health conditions may not benefit from this research.
What this research studies
This research focuses on creating mathematical models to explore the interactions between Candida species and gut bacteria, as well as the immune response to bloodstream infections caused by Candida. By analyzing genetic and metabolic data, the researchers aim to identify how different strains of Candida behave and how gut bacteria can help resist their colonization. The project will involve collaboration with experimental scientists to validate and refine these models, ultimately leading to a better understanding of these complex biological processes.
Why it matters
Potential benefit: If successful, this research could lead to improved strategies for preventing and treating Candida infections, particularly in vulnerable patients.
How similar studies have gone: Previous research has shown promise in using mathematical modeling to understand microbial interactions and infection dynamics, suggesting that this approach could yield valuable insights.
Where this research is happening
-
Sloan-Kettering Inst Can Research
New York, United States Active
Researchers
- Principal investigator: Xavier, Joao — Sloan-Kettering Inst Can Research
- Study coordinator: Xavier, Joao
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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.