A network pharmacology-based approach to predict anti-influenza A mechanism of Punica granatum L.and preliminary pharmacodynamic validation
Objective:To explore the potential effective targets and mechanism of Punica granatum L.against influen-za based on network pharmacology and verify them with animal model.Methods:The active components in Punica grana-tum L.were retrieved by Chinese Medicine System Pharmacology Platform(TCMSP),and active targets were screened.The Cytoscape software was used to construct network of Punica granatum L.for influenza treatment.The targets of influ-enza A were screened through databases such as TTD and DRUGBANK.STRING database was used to construct the net-work of influenza A,and the biological function annotation and pathway analysis of key targets were performed.Mice of ex-perimental model were infected with influenza A.The expression of key proteins and inflammatory factors of IL-17 path-way was detected by ELISA and Western blot.The body weight and lung index of mice were detected.Results:There were 7 active components in Punica granatum L.against influenza A and 96 effective targets.Among them,RELA,MAPK1,JUN,HIF1A,ESR1,NFKBIA and TP53 genes may be the core targets.The possible mechanism of action may be related to IL-17 signaling pathway,chemical carcinogenic-receptor activation,phosphatidylinositol 3-kinase path-way,etc.Preliminary animal experiments showed that Punica granatum L.extracts were involved in the regulation of IL-17 pathway to inhibit the expression of inflammatory cytokines IL-6,TNF-α,IL-1βand TRAF6,NF-κB protein(P＜0.05).Conclusion:There are 6 components contained in Punica granatum L.interacting with different targets and pathways to inhibit the expression of proteins of multiple inflammatory cytokines to inhibit influenza A.
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