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A urinary Common Rejection Module (uCRM) score for non-invasive kidney transplant monitoring
A Common Rejection Module (CRM) consisting of 11 genes expressed in allograft biopsies was previously reported to serve as a biomarker for acute rejection (AR), correlate with the extent of graft injury, and predict future allograft damage. We investigated the use of this gene panel on the urine cel...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6668802/ https://www.ncbi.nlm.nih.gov/pubmed/31365568 http://dx.doi.org/10.1371/journal.pone.0220052 |
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author | Sigdel, Tara K. Yang, Joshua Y. C. Bestard, Oriol Schroeder, Andrew Hsieh, Szu-Chuan Liberto, Juliane M. Damm, Izabella Geraedts, Anna C. M. Sarwal, Minnie M. |
author_facet | Sigdel, Tara K. Yang, Joshua Y. C. Bestard, Oriol Schroeder, Andrew Hsieh, Szu-Chuan Liberto, Juliane M. Damm, Izabella Geraedts, Anna C. M. Sarwal, Minnie M. |
author_sort | Sigdel, Tara K. |
collection | PubMed |
description | A Common Rejection Module (CRM) consisting of 11 genes expressed in allograft biopsies was previously reported to serve as a biomarker for acute rejection (AR), correlate with the extent of graft injury, and predict future allograft damage. We investigated the use of this gene panel on the urine cell pellet of kidney transplant patients. Urinary cell sediments collected from patients with biopsy-confirmed acute rejection, borderline AR (bAR), BK virus nephropathy (BKVN), and stable kidney grafts with normal protocol biopsies (STA) were analyzed for expression of these 11 genes using quantitative polymerase chain reaction (qPCR). We assessed these 11 CRM genes for their abundance, autocorrelation, and individual expression levels. Expression of 10/11 genes were elevated in AR when compared to STA. Psmb9 and Cxcl10could classify AR versus STA as accurately as the 11-gene model (sensitivity = 93.6%, specificity = 97.6%). A uCRM score, based on the geometric mean of the expression levels, could distinguish AR from STA with high accuracy (AUC = 0.9886) and correlated specifically with histologic measures of tubulitis and interstitial inflammation rather than tubular atrophy, glomerulosclerosis, intimal proliferation, tubular vacuolization or acute glomerulitis. This urine gene expression-based score may enable the non-invasive and quantitative monitoring of AR. |
format | Online Article Text |
id | pubmed-6668802 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-66688022019-08-06 A urinary Common Rejection Module (uCRM) score for non-invasive kidney transplant monitoring Sigdel, Tara K. Yang, Joshua Y. C. Bestard, Oriol Schroeder, Andrew Hsieh, Szu-Chuan Liberto, Juliane M. Damm, Izabella Geraedts, Anna C. M. Sarwal, Minnie M. PLoS One Research Article A Common Rejection Module (CRM) consisting of 11 genes expressed in allograft biopsies was previously reported to serve as a biomarker for acute rejection (AR), correlate with the extent of graft injury, and predict future allograft damage. We investigated the use of this gene panel on the urine cell pellet of kidney transplant patients. Urinary cell sediments collected from patients with biopsy-confirmed acute rejection, borderline AR (bAR), BK virus nephropathy (BKVN), and stable kidney grafts with normal protocol biopsies (STA) were analyzed for expression of these 11 genes using quantitative polymerase chain reaction (qPCR). We assessed these 11 CRM genes for their abundance, autocorrelation, and individual expression levels. Expression of 10/11 genes were elevated in AR when compared to STA. Psmb9 and Cxcl10could classify AR versus STA as accurately as the 11-gene model (sensitivity = 93.6%, specificity = 97.6%). A uCRM score, based on the geometric mean of the expression levels, could distinguish AR from STA with high accuracy (AUC = 0.9886) and correlated specifically with histologic measures of tubulitis and interstitial inflammation rather than tubular atrophy, glomerulosclerosis, intimal proliferation, tubular vacuolization or acute glomerulitis. This urine gene expression-based score may enable the non-invasive and quantitative monitoring of AR. Public Library of Science 2019-07-31 /pmc/articles/PMC6668802/ /pubmed/31365568 http://dx.doi.org/10.1371/journal.pone.0220052 Text en © 2019 Sigdel et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Sigdel, Tara K. Yang, Joshua Y. C. Bestard, Oriol Schroeder, Andrew Hsieh, Szu-Chuan Liberto, Juliane M. Damm, Izabella Geraedts, Anna C. M. Sarwal, Minnie M. A urinary Common Rejection Module (uCRM) score for non-invasive kidney transplant monitoring |
title | A urinary Common Rejection Module (uCRM) score for non-invasive kidney transplant monitoring |
title_full | A urinary Common Rejection Module (uCRM) score for non-invasive kidney transplant monitoring |
title_fullStr | A urinary Common Rejection Module (uCRM) score for non-invasive kidney transplant monitoring |
title_full_unstemmed | A urinary Common Rejection Module (uCRM) score for non-invasive kidney transplant monitoring |
title_short | A urinary Common Rejection Module (uCRM) score for non-invasive kidney transplant monitoring |
title_sort | urinary common rejection module (ucrm) score for non-invasive kidney transplant monitoring |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6668802/ https://www.ncbi.nlm.nih.gov/pubmed/31365568 http://dx.doi.org/10.1371/journal.pone.0220052 |
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