Objective: To study the anti-nonalcoholic steatohepatitis mechanism of total flavonoids from Scabiosa comosa by network pharmacology. Methods: Based on the TCMSP database and literature reports, the main active components of total flavonoids from Scabiosa comosa were obtained. The Swiss Target Prediction server was used to predict the target of its active ingredients according to the reverse pharmacophore matching method, and the targets for improving NASH were screened out through databases such as Genecards, OMIM and Disgenet. The potential targets of drug targets and disease targets were used to make the Venn diagram. The Cytoscape software was used to construct the ' active ingredient-target ' network diagram. The STRING platform was used to construct the protein interaction network. The DAVID database and ClueGO plug-in were used for GO enrichment analysis and KEGG pathway analysis. Results: A total of 43 active components and 439 targets of total flavonoids were screened. The main active components in the network were ononin, camphene -3-O- rutinoside, isorhamnetin, quercetin, luteolin, eupatorium odoratum, etc. The key targets in the protein interaction network were TNF, AKT1, TP53, VEGFA, IL1B, etc. GO enrichment analysis involved 503 biological processes, 54 cellular components and 120 molecular functions. KEGG pathway enrichment analysis screened the top 20 related pathways, mainly acting on VEGF signaling pathway, PPAR signaling pathway, estrogen signaling pathway and so on. Conclusion: The flavonoid components from Scabiosa comosa can play a role in the treatment of nonalcoholic steatohepatitis through multiple targets and multiple pathways. The results provide a scientific basis for further study of the role of Scabiosa comosa in the field of anti-nonalcoholic steatohepatitis.
ZHAO Yulian
,
ZHANG Na
. Network pharmacological analysis of total flavonoids from Mongolian medicine Scabiosa comosa in the treatment of nonalcoholic steatohepatitis[J]. Journal of Baotou Medical College, 2024
, 40(11)
: 66
-72
.
DOI: 10.16833/j.cnki.jbmc.2024.11.014
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