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Transcriptome patterns for Acute Cellular Rejection in Recipients with Recurrent Hepatitis C after Liver Transplantation

ABSTRACT: The histological evaluation of liver via biopsy remains as the standard for the diagnosis of both acute cellular rejection (ACR) and recurrent hepatitis C (RHC) after liver transplantation. Nevertheless, it is often difficult to diagnose ACR in HCV-positive recipients because of common co-existing and overlapping morphological changes with RHC. The aim of the study was to identify potential target genes for ACR in recipients with RHC. We analyzed 22 liver biopsy samples obtained from 21 HCV-positive recipients. The clinicopathological diagnoses for the biopsies were ACR-predominant with superimposed RHC in 9 samples (ACR group) and RHC with no ACR (non-ACR group) in the remaining. We compared the transcriptional alterations between the two groups with oligonucleotide microarray and selected 2206 genes which were significantly modulated in ACR. Subsequently we analyzed the regulatory networks in ACR using Ingenuity Pathway Analysis, and focused on 5 genes (IFNAR1, IL-12RB2, NFATC3, BMP2, and CASP8) from the core network as the target genes for ACR. In conclusion, our results demonstrated that novel transcriptome patterns of ACR and concurrent RHC were present and distinct from recipients with only RHC, suggesting that gene expression profiling may have a role in the diagnosis of ACR in recipients with hepatitis C. Keywords: Gene identification in ACR with recurrent HCV infection Of 22 liver biopsy samples, 9 represented the clinicopathological diagnoses for ACR-predominant with superimposed RHC (ACR group) and 13 represented the clinicopathological diagnoses for RHC with no ACR (non-ACR group) .

ORGANISM(S): Homo sapiens

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PROVIDER: S-DIXA-D-1015 | biostudies-other |

REPOSITORIES: biostudies-other

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Project description:Acute cellular rejection (ACR) and hepatitis C virus (HCV) recurrence (HCVrec) are common complications after liver transplantation (LT) in HCV patients, who share common clinical and histological features, making a differential diagnosis difficult. Fifty-three liver allograft samples from unique HCV LT recipients were studied using microarrays, including a training set (n = 32) and a validation set (n = 19). Two no-HCV-ACR samples from LT recipients were also included. Probe set intensity values were obtained using the robust multiarray average method (RMA) method. Analysis of variance identified statistically differentially expressed genes (P ? 0.005). The limma package was used to fit the mixed-effects models using a restricted maximum likelihood procedure. The last absolute shrinkage and selection operator (LASSO) model was fit with HCVrec versus ACR as the dependent variable predicted. N-fold cross-validation was performed to provide an unbiased estimate of generalization error. A total of 179 probe sets were differentially expressed among groups, with 71 exclusive genes between HCVrec and HCV-ACR. No differences were found within ACR group (HCV-ACR vs. no-HCV-ACR). Supervised clustering analysis displayed two clearly independent groups, and no-HCV-ACR clustered within HCV-ACR. HCVrec-related genes were associated with a cytotoxic T-cell profile, and HCV-ACR-related genes were associated with the inflammatory response. The best-fitting LASSO model classifier accuracy, including 15 genes, has an accuracy of 100% in the training set. N-fold cross-validation accuracy was 78.1%, and sensitivity, specificity and positive and negative predictive values were 50.0%, 90.9%, 71.4% and 80.0%, respectively. Arginase type II (ARG2), ethylmalonic encephalopathy 1 (ETHE1), transmembrane protein 176A (TMEM176A) and TMEM176B genes were significantly confirmed in the validation set. A molecular signature capable of distinguishing HCVrec and ACR in HCV LT recipients was identified and validated.

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Transcriptome patterns for Acute Cellular Rejection in Recipients with Recurrent Hepatitis C after Liver Transplantation

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