The abnormal regulation of spliceosome may be a key factor for coronary heart disease: a simple bioinformatics analysis

Abstract

Background: Cardiovascular Diseases (CVDs) has become a major disease threatening human health. As the main species of CVDs, coronary heart disease (CHD) is becoming more and more common. The pathogenesis of CHD, especially at the molecular level, is not entirely clear up to now. Explaining the pathogenesis of CHD is particularly important for its treatment and prognosis. Biological database data analysis via bioinformatics has been an important method for studying gene expression strategy in multiple human disease. The aim of this study was to identify key different expressed genes (DEGs) in CHD and elucidate the biological process of it.Methods: A total of two published microarray datasets of CHD was downloaded from the Gene Expression Omnibus (GEO). Then, bioinformatics analyses including differentially expressed genes (DEGs) analysis, venn analysis, gene ontology (GO) annotation, Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment, protein and protein interaction (PPI) network construction was performed. Quantitative real-time polymerase chain reactions (RT-qPCR) were used to detect the expression levels of DEGs in CHD.Results: A total of 122 dysregulated genes were selected as DEGs in CHD. The GO annotation analysis displayed these DEGs involved in DNA transcription and mRNA splicing regulation. The DEGs regulatory network showed the downregulated genes LUC7L3, HNRNPA1, SF3B1, ARGLU1, SRSF5, SRSF11, SREK1, PNISR, DIDO1, ZRSR2 and NKTR were located in the network control center, which were the spliceosome related genes. The RT-qPCR results were consistent with our microarray analysis.Conclusion: The abnormal regulation of spliceosome might be a key factor in the development of CHD, which must play key roles in cardiovascular disease (CVD), especially in CHD. Our study has provided a new idea for the treatment and prognosis of CHD, and the spliceosome might be the potential prognostic biomarkers of it.