Silybum marianum active ingredients were obtained and their targets of action were predicted using the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform (TCMSP) and the SwissTargetPrediction. And the disease targets of hepatic fibrosis were predicted through the GeneCards database, the OMIM database, and the DisGeNET database. The intersection of the hepatic fibrosis disease targets and the action targets of the active ingredients was taken after integrating.And a protein-protein interaction (PPI) network was constructed at String12.0, and then the strength of the interaction network of silybum marianum anti-hepatic fibrosis targets was determined using Cytoscape 3.9.1 software; Gene Ontology (GO) functional analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) were performed on the predicted targets of silybum marianum and the targets of hepatic fibrosis diseases using the DAVID database. The final results were visualised and presented through the SRplot website.

Liu Yuanyuan, Huang Feng. Exploring the Mechanism of Action of Silybum Marianum against Liver Fibrosis Based on Network Pharmacology. Academic Journal of Medicine & Health Sciences (2024), Vol. 5, Issue 6: 18-24. https://doi.org/10.25236/AJMHS.2024.050603.

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