Please use this identifier to cite or link to this item: http://hdl.handle.net/2445/175552
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dc.contributor.authorSigdel, Tara K.-
dc.contributor.authorYang, Joshua Y.C.-
dc.contributor.authorBestard Matamoros, Oriol-
dc.contributor.authorSchroeder, Andrew-
dc.contributor.authorHsieh, Szu Chuan-
dc.contributor.authorLiberto, Juliane M.-
dc.contributor.authorDamm, Izabella-
dc.contributor.authorGeraedts, Anna C. M.-
dc.contributor.authorSarwal, Minnie M.-
dc.date.accessioned2021-03-22T13:37:21Z-
dc.date.available2021-03-22T13:37:21Z-
dc.date.issued2019-07-31-
dc.identifier.issn1932-6203-
dc.identifier.urihttp://hdl.handle.net/2445/175552-
dc.description.abstractA 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.-
dc.format.extent15 p.-
dc.format.mimetypeapplication/pdf-
dc.language.isoeng-
dc.publisherPublic Library of Science (PLoS)-
dc.relation.isformatofReproducció del document publicat a: https://doi.org/10.1371/journal.pone.0220052-
dc.relation.ispartofPLoS One, 2019, vol. 14, num. 7, p. e0220052-
dc.relation.urihttps://doi.org/10.1371/journal.pone.0220052-
dc.rightscc-by (c) Sigdel, Tara K. et al., 2019-
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es-
dc.sourceArticles publicats en revistes (Ciències Clíniques)-
dc.subject.classificationTrasplantament renal-
dc.subject.classificationOrina-
dc.subject.classificationExpressió gènica-
dc.subject.otherKidney transplantation-
dc.subject.otherUrine-
dc.subject.otherGene expression-
dc.titleA urinary common rejection module (uCRM) score for non-invasive kidney transplant monitoring-
dc.typeinfo:eu-repo/semantics/article-
dc.typeinfo:eu-repo/semantics/publishedVersion-
dc.identifier.idgrec701466-
dc.date.updated2021-03-22T13:37:21Z-
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess-
dc.identifier.pmid31365568-
Appears in Collections:Articles publicats en revistes (Ciències Clíniques)

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