Abstract
Numerous studies have suggested the utility of non-invasive molecular biomarkers to monitor recipients of kidney transplants. A new correlation-based algorithm using stepwise analysis of gene expression data from peripheral blood samples, claiming to detect subclinical, and predict clinical acute allograft rejection, requires corroboration before testing in prospective validation studies.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 204-205 |
| Number of pages | 2 |
| Journal | Nature Reviews Nephrology |
| Volume | 11 |
| Issue number | 4 |
| DOIs | |
| State | Published - Apr 27 2015 |
| Externally published | Yes |
ASJC Scopus subject areas
- Nephrology
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