Screening hub genes in coronary artery disease based on integrated analysis

Cardiol J. 2018;25(3):403-411. doi: 10.5603/CJ.a2017.0106. Epub 2017 Oct 5.

Abstract

Background: Coronary artery disease (CAD) is the leading cause of mortality worldwide. Identifying key pathogenic genes benefits the understanding molecular mechanism of CAD.

Methods: In this study, 5 microarray data sets from the blood sample of 312 CADs and 277 healthy controls were downloaded. Limma and metaMA packages were used to identify differentially expressed genes. The functional enrichment analysis of differentially expressed genes was further performed by Gene Ontology and Kyoto Encyclopedia of Genes and Genomes. Additionally, protein-protein interac-tion and transcript factors-target networks were performed based on top 10 up- and down-regulated differentially expressed genes to further study the biological function. Last, real-time quantitative poly-merase chain reaction (RT-qPCR) was used to validate the integrated analysis result.

Results: A total of 528 differentially expressed genes were obtained. All differentially expressed genes were significantly involved in signal transduction and the MAPK signaling pathway. Among MAPK signaling pathway, IL1R2, ARRB2 and PRKX were associated with CAD. Furthermore, there were 4 common differentially expressed genes including PLAUR, HSPH1, ZMYND11 and S100A8 in the protein-protein interaction and transcript factors-target networks, which played crucial roles in the development of CAD. In quantitative RT-qPCR, the expression of PRKX, HSPH1 and ZMYND11 was down-regulated and consistent with the integrated analysis.

Conclusions: Identified 7 differentially expressed genes (IL1R2, ARRB2, PRKX, PLAUR, HSPH1, ZMYND11 and S100A8) may play crucial roles in the development of CAD.

Keywords: coronary artery disease; differentially expressed gene; protein–protein interaction; transcript factors.

MeSH terms

  • Coronary Artery Disease / diagnosis
  • Coronary Artery Disease / genetics*
  • Coronary Artery Disease / metabolism
  • Down-Regulation*
  • Gene Expression Profiling / methods*
  • Gene Ontology
  • Genetic Testing / methods*
  • Humans
  • Protein Interaction Maps
  • RNA / genetics*
  • Real-Time Polymerase Chain Reaction
  • Signal Transduction
  • Up-Regulation*

Substances

  • RNA