Objective:To analyze the main target genes, key pathways and their mechanisms of action of Resveratrol in the treatment of Early Hepatocellular Carcinoma based on multiple databases using a network pharmacology approach.
Methods:The targets of Resveratrol were obtained from the TCMSP database; the targets of Early Hepatocellular Carcinoma were obtained from the GeneCards, OMIM and DisGent databases. The compound-target-disease network was constructed using Cytoscape software; the protein interaction network (PPI) was constructed using STRING database; GO function and KEGG pathway enrichment analysis were performed in R language.
Results:Sixty-nine potential targets for Resveratrol were obtained through the TCMSP database. Searching and de-duplicating the disease database yielded 9451 disease targets for Early Hepatocellular Carcinoma. 1527 entries were obtained from GO functional enrichment analysis and 192 statistically significant pathways were obtained from KEGG enrichment analysis.
Conclusions:The mechanism of action of Resveratrol for Early Hepatocellular Carcinoma is a multi-target, multi-pathway interaction. The receptors may be related to SRC, CYP3A4, PIK3CA, CYP1A1, RELA, ESR1 and other targets, and the major signalling pathways may be related to Hepatocellular carcinoma pathway, PD-L1 Expression and PD-1 checkpoint pathway. Choline Metabolism pathway, Central Cabon Metabolism pathway and other pathways. It provides a theoretical basis for the next in-depth experimental study.
Key words: Bioinformatics;Multi-database; Resveratrol; Early Hepatocellular Carcinoma; Pharmacological Mechanism
|
