A Bioinformatics Investigation into the Pharmacological Mechanisms of Sodium-Glucose Co-transporter 2 Inhibitors in Diabetes Mellitus and Heart Failure Based on Network Pharmacology

• DOI: 10.1007/s10557-021-07186-y
• Publication Date: 2021-05-24T07:02:53Z
• Authors: Ziling Mai; Huanqiang Li; Guanzhong Chen; Enzhao Chen; Liwei Liu; Zhubin Lun; Wenguang Lai; Chunyun Zhou; Sijia Yu; Jin Liu; Shiqun Chen; Jiyan Chen; Yong Liu
• Keywords: KEGG; Systems pharmacology

Diabetes mellitus (DM) is a major risk factor for the development of heart failure (HF). Sodium-glucose co-transporter 2 (SGLT2) inhibitors have demonstrated consistent benefits in reduction hospitalization HF patients with DM. However, pharmacological mechanism not clear. To investigate mechanisms SGLT2 DM HF, we performed target prediction and network analysis by pharmacology method.We selected targets status from databases studies. The "Drug-Target" "Drug-Target-Disease" networks were constructed using Cytoscape. Then protein-protein interaction (PPI) was analyzed STRING database. Gene Ontology (GO) biological functions Kyoto Encyclopedia Genes Genomes (KEGG) pathways to Bioconductor tool analysis.There 125 effective between HF. Through further screening, 33 core obtained, including SRC, MAPK1, NARS, MAPK3 EGFR. It predicted that Rap1 signaling pathway, MAPK EGFR tyrosine kinase inhibitor resistance, AGE-RAGE pathway diabetic complications other involved treatment inhibitors.Our study elucidated possible systemic holistic perspective based on networks. key will provide new insights research