Mechanism of Gynostemma pentaphyllum in treatment of metabolism associated fatty liver disease based on network pharmacology and molecular docking.
10.19540/j.cnki.cjcmm.20210713.401
- Author:
Shu-di LI
1
;
Su-Ling LI
2
;
Jiang-Kai LIU
2
;
Zhen WANG
2
;
Pei-Pei YUAN
1
Author Information
1. Henan University of Chinese Medicine Zhengzhou 450000, China.
2. the First Affiliated Hospital of Henan University of Chinese Medicine Zhengzhou 450000, China.
- Publication Type:Journal Article
- Keywords:
Gynostemma pentaphyllum;
metabolism-associated fatty liver disease(MAFLD);
molecular docking;
network pharmacology;
signaling pathway
- MeSH:
Drugs, Chinese Herbal;
Gynostemma;
Liver Diseases;
Molecular Docking Simulation;
Signal Transduction
- From:
China Journal of Chinese Materia Medica
2021;46(19):5080-5087
- CountryChina
- Language:Chinese
-
Abstract:
The present study explored the mechanism of action of Gynostemma pentaphyllum in the treatment of metabolism associa-ted fatty liver disease(MAFLD) by network pharmacology and molecular docking. The main active components and action targets of G. pentaphyllum were collected from TCMSP. Disease-related targets were obtained from GeneCards, OMIM and TTD, and the common targets of the three databases were screened out, which were converted to the genes with standard names by UniProt. The drug-disease common target genes were obtained through Venn tool and uploaded to STRING for the construction of the protein-protein interaction(PPI) network. Cytoscape was used to construct and analyze the drug-active component-common target-disease network. The gene ontology(GO) analysis and Kyoto encyclopedia of genes and genomes(KEGG) pathway enrichment analysis were performed on the common targets by DAVID. Pymol was adopted to perform molecular docking of active components and the common targets and predict their binding ability. Twenty-four active components(such as gypenosides, quercetin and sitosterol) of G. pentaphyllum were screened out. Ninety-two targets were obtained and 54 common targets were identified. Key targets included TNF, IL6, PTGS2, TP53, CCL2 and VEGFA. GO analysis on biological processes, molecular functions and cellular components and KEGG pathway analysis were performed, and the results indicated that NF-κB, PI3 K-Akt, TNF and HIF-1 signaling pathways were mainly involved. Molecular docking results showed that gypenosides and quercetin had a strong binding ability to TNF, IL6 and PTGS2. The findings of this study revealed that the therapeutic efficacy of G. pentaphyllum on MAFLD might be achieved by resisting inflammation and oxidative stress and improving insulin resistance, providing ideas and a theoretical basis for the development and application of G. pentaphyllum in the treatment of MAFLD.
