Comparative transcriptome analysis of peripheral blood mononuclear cells in hepatitis B-related acute-on-chronic liver failure

Sci Rep. 2016 Feb 10:6:20759. doi: 10.1038/srep20759.

Abstract

Analysis of the transcriptome of peripheral blood mononuclear cells (PBMCs) from patients with hepatitis B-related acute-on-chronic liver failure (HBV-ACLF) is essential to elucidate the pathogenesis of HBV-ACLF and identify HBV-ACLF-specific biomarkers. In this study, high-throughput sequencing was performed to characterize the transcriptome of PMBCs from patients with HBV-ACLF. Specifically, 2381 differentially expressed genes (DEGs) and 776 differentially expressed transcripts were identified through comparisons with patients with chronic hepatitis B (CHB) and healthy controls. Gene Ontology (GO) analysis identified 114 GO terms that were clustered into 12 groups. We merged 10 dysregulated genes selected from these grouped GO terms and non-clustered terms with four significant genes with a specificity of >0.8 in the HBV-ACLF patients to obtain a set of 13 unique genes. The quantitative real-time polymerase chain reaction (qRT-PCR) validation of the top six genes (CYP19A1, SEMA6B, INHBA, DEFT1P, AZU1 and DEFA4) was consistent with the results of messenger ribonucleic acid (mRNA) sequencing. A further receiver operating characteristic (ROC) analysis revealed that the areas under the ROC curves of the six genes were all >0.8, which indicated their significant diagnostic potentials for HBV-ACLF.

Conclusion: The transcriptome characteristics of PBMCs are altered in patients with HBV-ACLF, and six genes may serve as biomarkers of HBV-ACLF.

Publication types

  • Comparative Study
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Acute-On-Chronic Liver Failure / diagnosis*
  • Acute-On-Chronic Liver Failure / pathology*
  • Adult
  • Biomarkers / analysis*
  • Female
  • Gene Expression Profiling*
  • Hepatitis B, Chronic / complications*
  • High-Throughput Nucleotide Sequencing
  • Humans
  • Leukocytes, Mononuclear / immunology*
  • Male
  • Middle Aged
  • ROC Curve
  • Real-Time Polymerase Chain Reaction

Substances

  • Biomarkers