Network Pharmacology-Based Identification of the Mechanisms of Shen-Qi Compound Formula in Treating Diabetes Mellitus

Zhipeng Hu; Maoyi Yang; Liangjun Yang; Chunguang Xie; Hong Gao; Xiaoxu Fu; Hongyan Xie; Ya Liu

doi:10.1155/2020/5798764

Network Pharmacology-Based Identification of the Mechanisms of Shen-Qi Compound Formula in Treating Diabetes Mellitus

Evid Based Complement Alternat Med. 2020 Jun 4:2020:5798764. doi: 10.1155/2020/5798764. eCollection 2020.

Authors

Zhipeng Hu¹, Maoyi Yang¹, Liangjun Yang², Chunguang Xie¹, Hong Gao¹, Xiaoxu Fu¹, Hongyan Xie¹, Ya Liu¹

Affiliations

¹ Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu 610072, China.
² Department of Gastroenterology, Tongde Hospital of Zhejiang Province, Hangzhou 310012, China.

Abstract

Aim: The purpose of this research is to identify the mechanisms of Shen-Qi compound formula (SQC), a traditional Chinese medicine (TCM), for treating diabetes mellitus (DM) using system pharmacology.

Methods: The active components and therapeutic targets were identified, and these targets were analyzed using gene ontology (GO) enrichment analysis, Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis, and protein-protein interaction (PPI) analysis. Finally, an integrated pathway was constructed to show the mechanisms of SQC.

Results: A total of 282 active components and 195 targets were identified through a database search. The component-target network was constructed, and the key components were screened out according to their degree. Through the GO, PPI, and KEGG analyses, the mechanism network of SQC treating DM was constructed.

Conclusions: This study shows that the mechanisms of SQC treating DM are related to various pathways and targets. This study provides a good foundation and basis for further in-depth verification and clinical application.