Network analysis and visualization of genes are very important to understand large complex biological data in a better manner. Large data on genes and proteins in the biological systems are analyzed on the occurrence, interactions, co-expression, and co-regulations of various genes. Here we have visualized the genes involved in type 1 diabetes (T1D), type 2 diabetes (T2D), and foot ulcer condition to put light on the corrective measures to the problem of impaired healing. The goal of this study was to identify the important genes involved in the pathogenesis of diabetes complications and foot ulcer and its association with the free radical-producing enzyme, the myeloperoxidase (MPO). In this study, we have used bioinformatics tools for the analysis of 24 genes that play a major role in diabetes mellitus and its complications, especially diabetic foot ulcer to reveal the relation between the genes and proteins involved in these disease conditions. We could conclude from the network model that MPO is related to foot ulcer and involved in pathogenesis of various co-associated diseases, such as oxidative stress, inflammation, peripheral vascular disease, and other related diabetes complications.
Keywords: Cytoscape; Foot ulcer; Myeloperoxidase; Type 1 diabetes; Type 2 diabetes.