Transplantation: Biomarkers in transplantation - The devil is in the detail

Michael Abecassis; Bruce Kaplan

doi:10.1038/nrneph20152

Transplantation: Biomarkers in transplantation - The devil is in the detail

Michael Abecassis, Bruce Kaplan

Research output: Contribution to journal › Short survey › peer-review

12 Scopus citations

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	https://doi.org/10.1038/nrneph20152
State	Published - Apr 27 2015
Externally published	Yes

ASJC Scopus subject areas

Nephrology

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title = "Transplantation: Biomarkers in transplantation - The devil is in the detail",

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.",

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AU - Kaplan, Bruce

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N2 - 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.

AB - 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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Transplantation: Biomarkers in transplantation - The devil is in the detail

Abstract

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