Analyzing tissue samples to understand disease-related changes in metabolism
Official title: Quantitative Normalization of Spatial Metabolomics for Molecular Signatures of Tissue Heterogeneity
Funded at Sygnamap, INC. · NIH-10603667 · Data updated 2026-11-12
This study is looking at kidney and liver tissue samples to find important changes linked to diseases, using a special technique to help identify potential new ways to understand and treat chronic kidney and liver conditions.
Quick facts
| Grant type | Sbir 1 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Sygnamap, INC. NIH-funded |
| Lab location | 1 site (San Antonio, United States) |
| Project start | January 12, 2023 |
| Project end | December 31, 2025 |
| Funding year | 2023 |
| Award (this year) | $356,499 |
| NIH project number | 1R43GM149044-01 |
| Project ID | NIH-10603667 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are individuals diagnosed with chronic kidney or liver diseases who are undergoing tissue biopsies.
✕Less likely to help
Patients with acute kidney or liver conditions, or those not requiring a biopsy, may not benefit from this research.
What this research studies
This research focuses on using advanced techniques to analyze tissue biopsies, specifically from the kidney and liver, to identify biochemical changes associated with diseases. By employing a method called MALDI-MSI, the researchers aim to quantify the distribution of metabolites in these tissues, which can reveal important disease signatures. The project seeks to develop a computational platform, MSI-DeepPath, that will automate the analysis and improve the accuracy of identifying disease-relevant biomarkers. This could lead to better understanding and treatment options for chronic kidney and liver diseases.
Why it matters
Potential benefit: If successful, this research could lead to the discovery of new therapeutic targets and improved treatment strategies for patients with kidney and liver diseases.
How similar studies have gone: Other research has shown promise in using spatial metabolomics for understanding tissue heterogeneity, indicating that this approach could be effective.
Where this research is happening
-
Sygnamap, INC.
San Antonio, United States Active
Researchers
- Principal investigator: Hejazi, Leila — Sygnamap, INC.
- Study coordinator: Hejazi, Leila
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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.