Microarray cDNA Dataset Analysis Reveals Potential Genes Associated with Type 2 Diabetes Mellitus for Further Treatment Exploration

Abstract

Type 2 diabetes mellitus (T2DM) is an intricate and inadequately treatable metabolic disorder that requires modified treatment by identifying genetic variants as potential drug targets. In this study, we performed the system-level genetic analysis of the T2DM-related cDNA dataset and revealed 5 significant differentials expressed genes (DEGs) including ABRA, CYR61, NR4A1, KY, and TMEM131 as source genes. Among, these genes, 3 were down-regulated and 2 up-regulated. The biological function and gene ontology showed the association of these genes with cell apoptosis, cell communication, signal transduction, and insulin resistance. These genes are majorly expressed in multiple tissues specifically the brain, lungs, pancreas, and immune cells. The protein-protein network revealed the interaction of these source genes with important signature proteins including FOS, IGFN1, UBC, CTNB1, ITB5, JUN, HIF1A, p53, and other important genes. This study would be helpful to understand the etiology of T2DM and also improve the development of new drug treatments by identification of genes associated with T2DM.