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.
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Quantitative characterization of T-cell repertoire and biomarkers in kidney transplant rejection
BMC Nephrology Open Access 21 November 2016
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M.A. is co-founder and Chief Clinical Advisor of Transplant Genomics Incorporated. B.K. declares no competing interests.
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Abecassis, M., Kaplan, B. Biomarkers in transplantation—the devil is in the detail. Nat Rev Nephrol 11, 204–205 (2015). https://doi.org/10.1038/nrneph.2015.2
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DOI: https://doi.org/10.1038/nrneph.2015.2
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