학술논문

A Peripheral Blood Diagnostic Test for Acute Rejection in Renal Transplantation
Document Type
article
Source
American Journal of Transplantation. 12(10)
Subject
Biomedical and Clinical Sciences
Clinical Sciences
Biotechnology
Rare Diseases
Organ Transplantation
Clinical Research
Genetics
Kidney Disease
Transplantation
Pediatric
4.2 Evaluation of markers and technologies
Detection
screening and diagnosis
4.1 Discovery and preclinical testing of markers and technologies
Renal and urogenital
Acute Disease
Graft Rejection
Humans
Kidney Transplantation
Polymerase Chain Reaction
Sensitivity and Specificity
Acute allograft rejection
biomarker
bioinformatics
renal allograft rejection
renal transplantation
transplantation
transplantation genomics
transplant rejection
translational research
Medical and Health Sciences
Surgery
Clinical sciences
Immunology
Language
Abstract
Monitoring of renal graft status through peripheral blood (PB) rather than invasive biopsy is important as it will lessen the risk of infection and other stresses, while reducing the costs of rejection diagnosis. Blood gene biomarker panels were discovered by microarrays at a single center and subsequently validated and cross-validated by QPCR in the NIH SNSO1 randomized study from 12 US pediatric transplant programs. A total of 367 unique human PB samples, each paired with a graft biopsy for centralized, blinded phenotype classification, were analyzed (115 acute rejection (AR), 180 stable and 72 other causes of graft injury). Of the differentially expressed genes by microarray, Q-PCR analysis of a five gene-set (DUSP1, PBEF1, PSEN1, MAPK9 and NKTR) classified AR with high accuracy. A logistic regression model was built on independent training-set (n = 47) and validated on independent test-set (n = 198)samples, discriminating AR from STA with 91% sensitivity and 94% specificity and AR from all other non-AR phenotypes with 91% sensitivity and 90% specificity. The 5-gene set can diagnose AR potentially avoiding the need for invasive renal biopsy. These data support the conduct of a prospective study to validate the clinical predictive utility of this diagnostic tool.