Identification of biomarkers associated with metabolic cardiovascular disease using mRNA-SNP-miRNA regulatory network analysis

Abstract Background CVD is the leading cause of death in T2DM patients. However, few biomarkers have been identified to detect and diagnose early stage T2DM. The aim our study was identify important mRNAs, micro (mi)RNAs SNPs (single nucleotide polymorphisms) that are associated with metabolic cardiovascular disease. Materials methods Expression profiles GWAS data were obtained from Gene Omnibus (GEO) database. MiRNA-sequencing conducted by Illumina HiSeq 2000 platform patients EQTL analysis gene ontology (GO), Kyoto Encyclopedia Genes Genomes (KEGG) pathway enrichment analyses conducted. MRNA-miRNA co-expression network mRNA-SNP-miRNA interaction established visualized Cytoscape 3.7.2. Results In study, we 56 genes 16 miRNAs significantly differentially expressed. KEGG results indicated B cell receptor signaling hematopoietic lineage included biological functions expressed genes. illustrated let-7i-5p, RASGRP3 , KRT1 CEP41 may be potential for detection diagnosis Conclusion Our suggested downregulated upregulated play crucial roles molecular mechanisms underlying initiation development