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Experimental and Molecular Pathology
Article . 2017 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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5-gene differential expression predicts stability of human intestinal allografts

Authors: Paloma Talayero; Lola Alonso-Guirado; Guillermo Padilla; Haydee Artaza; Ana Dopazo; Fátima Sánchez-Cabo; Sarbelio Rodríguez-Muñoz; +4 Authors

5-gene differential expression predicts stability of human intestinal allografts

Abstract

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.

Keywords

Graft Rejection, RNA-sequencing, Cell Cycle Proteins, Humans, Cytochrome P450 Family 4, Longitudinal Studies, Prospective Studies, Cation Transport Proteins, Graft stability, Graft Survival, Alcohol Dehydrogenase, High-Throughput Nucleotide Sequencing, Membrane Proteins, Membrane Transport Proteins, Organ Transplantation, Intestinal transplantation, Allografts, Prognosis, Intestines, Gene Expression Regulation, ROC Curve, Gene expression, Carrier Proteins, Biomarkers

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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