A new method to personalize treatment for kidney transplant rejection
Official title: Bioinformatics pipeline for personalized diagnostics of transplant rejection
Funded at Datirium, LLC · NIH-11069619 · Data updated 2026-11-12
This study is looking at how certain genes behave in kidney transplant patients to help doctors figure out who might be at risk of rejection, so they can give the right treatments to keep the transplant healthy and working well.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Datirium, LLC NIH-funded |
| Lab location | 1 site (Cincinnati, UNITED STATES) |
| Project start | January 6, 2025 |
| Project end | December 31, 2026 |
| Funding year | 2025 |
| Award (this year) | $306,500 |
| NIH project number | 1R41AI189162-01 |
| Project ID | NIH-11069619 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are individuals who have received a kidney transplant and are at risk of transplant rejection.
✕Less likely to help
Patients who have not undergone kidney transplantation or those who are not at risk of rejection may not benefit from this research.
What this research studies
This research focuses on developing a bioinformatics pipeline that analyzes gene expression in kidney transplant patients to better understand and diagnose transplant rejection. By examining specific immune cell responses, particularly CD8 T cells, the project aims to identify which patients are at risk of rejection and tailor anti-rejection therapies accordingly. This personalized approach could lead to more effective management of transplant patients, potentially reducing the incidence of graft loss. The methodology involves advanced single-cell RNA sequencing and VDJ analysis of kidney biopsies and urine samples.
Why it matters
Potential benefit: If successful, this research could significantly improve the success rates of kidney transplants by enabling personalized anti-rejection therapies.
How similar studies have gone: Previous research has shown promise in using bioinformatics and gene expression analysis for personalized medicine, indicating potential success for this approach.
Where this research is happening
-
Datirium, LLC
Cincinnati, United States Active
Researchers
- Principal investigator: Barski, Artem — Datirium, LLC
- Study coordinator: Barski, Artem
Related research
Other NIH-funded projects on the same topics.
-
Immunological mechanisms behind treatment-resistant kidney transplant rejection
This grant explores why certain kidney transplant rejections don’t respond to standard treatments and what immune cells in the graft are driving that resistance.
-
Understanding how BK virus links infection to kidney transplant rejection
This project looks at how BK polyomavirus reactivation affects kidney transplant patients and aims to use pre-transplant T cell information to tailor immunosuppression and monitoring.
-
Biomarkers to tailor liver transplant immunosuppression
A multi-center study using blood biomarkers to guide how immunosuppressive drugs are given to liver transplant patients.
-
Using blood biomarkers to guide immunosuppression after liver transplant
This project uses regular blood biomarker checks to help doctors personalize immunosuppression for people who have had a liver transplant to reduce rejection and protect the kidneys.
-
Targeting YAP and TAZ with statins to prevent transplant rejection from donor antibodies
A study to see if statins can block specific gene regulators (YAP and TAZ) to protect transplanted organs from rejection caused by donor antibodies.
-
Predicting acute rejection in children after heart transplant
A study to improve how doctors predict if a child who has had a heart transplant will have acute rejection using noninvasive blood markers and advanced heart MRI analysis.
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.