|
| Status |
Public on Jul 13, 2009 |
| Title |
Biomarkers for Early and Late Stage Chronic Allograft Nephropathy by Genomic Profiling of Peripheral Blood |
| Organism |
Homo sapiens |
| Experiment type |
Expression profiling by array
|
| Summary |
Despite significant improvements in life expectancy of kidney transplant patients due to advances in surgery and immunosuppression, Chronic Allograft Nephropathy (CAN) remains a daunting problem. A complex network of cellular mechanisms in both graft and peripheral immune compartments complicates the non-invasive diagnosis of CAN, which still requires biopsy histology. This is compounded by non-immunological factors contributing to graft injury. There is a pressing need to identify and validate minimally invasive biomarkers for CAN to serve as early predictors of graft loss and as metrics for managing long-term immunosuppression.
This study attempts to identify sets of unique transcript biomarkers with high predictive accuracy for both mild and moderate/severe CAN. These biomarkers are the necessary first step to a genomic classification of CAN based on peripheral blood and the targets for a prospective, serial-monitoring clinical study.
|
| |
|
| Overall design |
We used DNA microarrays and bioinformatics to identify candidate genomic markers of mild and moderate/severe CAN in peripheral blood of two distinct cohorts (n=42 and n=35, respectively) of kidney transplant patients with biopsy-documented histology.
|
| |
|
| Contributor(s) |
Kurian SM |
| Citation(s) |
19593431 |
| |
| Submission date |
Jul 21, 2008 |
| Last update date |
Mar 25, 2019 |
| Contact name |
Sunil Kurian |
| E-mail(s) |
smkurian@scripps.edu
|
| Phone |
858-784-7759
|
| Organization name |
The Scripps Research Institute
|
| Department |
Molecular and Experimental Medicine
|
| Street address |
10550 N Torrey Pines Road
|
| City |
La Jolla |
| State/province |
CA |
| ZIP/Postal code |
92037 |
| Country |
USA |
| |
|
| Platforms (1) |
| GPL570 |
[HG-U133_Plus_2] Affymetrix Human Genome U133 Plus 2.0 Array |
|
| Samples (77)
|
|
| Relations |
| BioProject |
PRJNA113481 |
Less...
More...