5-gene differential expression predicts stability of human intestinal allografts.

Autor: Talayero P; Department of Immunology, University Hospital 12 de Octubre, Madrid, Spain; I+12 Research Institute, University Hospital 12 de Octubre, Madrid, Spain., Alonso-Guirado L; Bioinformatics and Biostatistics Unit, Centro de Investigaciones Biológicas (CIB-CSIC), Madrid, Spain., Padilla G; Bioinformatics and Biostatistics Unit, Centro de Investigaciones Biológicas (CIB-CSIC), Madrid, Spain., Artaza H; Bioinformatics and Biostatistics Unit, Centro de Investigaciones Biológicas (CIB-CSIC), Madrid, Spain., Dopazo A; Genomics Unit, Centro Nacional de Investigaciones Cardiovasculares (CNIC), Madrid, Spain., Sánchez-Cabo F; Bioinformatics Unit, Centro Nacional de Investigaciones Cardiovasculares (CNIC), Madrid, Spain., Rodríguez-Muñoz S; Department of Gastroenterology, University Hospital 12 de Octubre, Madrid, Spain., Calvo-Pulido J; Department of General and Digestive Surgery and Abdominal Organ Transplantation, University Hospital 12 de Octubre, Madrid, Spain., Mancebo E; Department of Immunology, University Hospital 12 de Octubre, Madrid, Spain; I+12 Research Institute, University Hospital 12 de Octubre, Madrid, Spain; School of Medicine, Complutense University, Madrid, Spain., de Lacoba MG; Bioinformatics and Biostatistics Unit, Centro de Investigaciones Biológicas (CIB-CSIC), Madrid, Spain., Paz-Artal E; Department of Immunology, University Hospital 12 de Octubre, Madrid, Spain; I+12 Research Institute, University Hospital 12 de Octubre, Madrid, Spain; School of Medicine, Complutense University, Madrid, Spain; Section of Immunology, San Pablo CEU University, Madrid, Spain. Electronic address: estela.paz@salud.madrid.org.
Jazyk: angličtina
Zdroj: Experimental and molecular pathology [Exp Mol Pathol] 2017 Oct; Vol. 103 (2), pp. 163-171. Date of Electronic Publication: 2017 Aug 24.
DOI: 10.1016/j.yexmp.2017.08.008
Abstrakt: In intestinal allografts, endoscopy and histology detect the injury once changes in the bowel wall architecture have occurred. We aimed to identify a molecular signature that could predict early deterioration, within histologically indistinguishable biopsies with "minimal changes" (MC) pathology. Sixty biopsies from 12 adult recipients were longitudinally taken during 8years post-transplant. They were classified as either stable (STA) or non-stable (NSTA) according to the prospectively recorded number, frequency and severity of rejection events of the allograft. In a discovery set of MC samples analyzed by RNA-Seq, 816 genes were differentially expressed in STA vs NSTA biopsies. A group of 5 genes (ADH1C, SLC39A4, CYP4F2, OPTN and PDZK1) correctly classified all NSTA biopsies in the discovery set and all STA biopsies from an independent set. These results were validated by qPCR in a new group of MC biopsies. Based on a logistic regression model, a cutoff of 0.28 predicted the probability of being a NSTA biopsy with 85% sensitivity and 69% specificity. In conclusion, by analyzing MC samples early after transplantation, the expression of a 5-gene set may predict the evolution of the bowel allograft. This prognostic biomarker may be of help to personalize care of the intestinal transplant recipient.
(Copyright © 2017. Published by Elsevier Inc.)
Databáze: MEDLINE
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