In silico network analysis
T2D, T2DM, dyslipidemia
TYPE 2 DIABETES, PATHOGENESIS, DYSLIPIDEMIA
To signify principal genes involved in type 2 diabetes (T2D) pathogenesis along with dyslipidemia and define the hub genes with significant differential expression in T2D conditions, we analyzed genes expression of microarray dataset, GSE156993, in adults with type 2 diabetes using the Bioconductor-based on Limma package, and MAS5 normalization in the R programming language. Based on the information from the dataset, we selected five samples of T2DM with dyslipidemia properties as T2D status compared with five healthy subjects. Based on adjusted The network's parameters analysis showed ADIPOQ and IL-6 with the highest degree, and the most betweenness centrality in the grid could be druggable nodes for treating T2D with dyslipidemia [