Network pharmacology of Tibetan medicine Ponka against influenza

doi:10.19803/j.1672-8629.20210612

Abstract

Abstract: Objective To explore the active components and mechanism of anti-influenza virus and anti-inflammatory activities of Ponka via network pharmacological analysis. Methods The compounds isolated and identified from Ponka between January 1, 1985 and May 31, 2021 were collected and sorted from CNKI and Pubmed databases, while the bioactive components were screened according to ADME parameters via the SIB database. The targets of these active components were predicted using Swiss StargetPrediction. Influenza virus and inflammation targets were found in OMim and GeneCards databases, and the Venny2.1.0 tool was used to obtain the intersection targets of Ponka and influenza virus as well as Ponka and inflammation targets. The protein interactions were analyzed in the String database. Cytoscape3.6.0 software was used to construct the component-disease-key target network and core target network. GO function analysis and KEGG pathway enrichment analysis were performed using David 6.8 database. Results A total of 73 active components, 17 core ingredients, 841 action targets, 94 intersection targets of Ponka and influenza virus, 142 intersection targets of Ponka and anti-inflammation were retrieved. GO functional analysis revealed 181 biological processes, 42 molecular functions and 25 cell components of Ponka against influenza virus. KEGG enrichment analysis obtained 84 anti-influenza virus signaling pathways, mainly involving TNF, Hepatitis C and cancer signaling pathways. Go functional analysis revealed 232 biological processes, 52 molecular functions and 27 cell components of Ponka against inflammation. KEGG enrichment analysis showed 86 anti-inflammatory signaling pathways, mainly involving NF-Kappa B, TNF and HIF-1 signaling pathways. Conclusion The anti-influenza activity of Ponka results from the synergistic action of multiple components by multiple targets and multiple pathways. This finding can offer novel ideas for subsequent experimental verification.

Key words: influenza, Ponka, anti-inflammatory, anti-influenza, network pharmacology, active ingredients, action mechanism

CLC Number:

R285
R966

BAI Siyu, CHEN Qianwen, YE Xiao, FENG Weihong, RONG Lixin, LI Chun. Network pharmacology of Tibetan medicine Ponka against influenza[J]. Chinese Journal of Pharmacovigilance, 2022, 19(12): 1344-1351.

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