For instance, Gao et al. [3] when exploring potential biomarker genes associated with hypertension, firstly, carried out DEG through the limma package, then obtained the interactions network between genes through the STRING platform, subsequently, applied three centrality algorithms (degree centrality, median centrality, and subgraph centrality) in the CytoNCA plugin to identify the hub genes in the network, and finally revealed the critical roles of Cyp4b1, Cyp4a31, Loxl2, and TFs, Esr1, Pparg, and Rxrg in the development of hypertension. Here, CYP4B1 is linked to hypertensive disorder.