Original articles
JIN Ya-qing, ZU Mian, HONG Yong-kai, LI Li-juan
Objective To analyze the potential active ingredients, targets and mechanism of anti-influenza effect of Moslae Herba using network pharmacology methods. Methods The chemical composition of Moslae Herba was retrieved from the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform(TCMSP). The potential targets of compounds were collected from the SwissTargetPrediction database, and the influenza targets were retrieved by GeneCards, OMIM database and literature mining. The ingredients-targets′ network was constructed with Cytoscape, and the protein-protein interactions (PPIs) of intersection targets were obtained from the STRING database and imported into Cytoscape. The intersection targets′ enrichment analysis of gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) was carried out by Metascape. Results Fourteen active ingredients and 243 potential targets of Moslae Herba were found and 1088 influenza-related targets were obtained. There were 45 targets where the components of the Moslae Herba and influenza intersected. There were 14 effective active compounds of Moslae Herba that were effective influenza, among which the six key ingredients were chryseriol, luteolin, kaempferol, kumatakenin, acacetin and quercetin. PPI network analysis resulted in nine critical target proteins,including Akt1, SRC, HSP90AA1 and EGFR. Metascape gene enrichment analysis resulted in 708 GO terms, which were related to multiple biological processes such as cytokines, immunomodulation and oxidative stress. One hundred and thirty KEGG pathways were also obtained through gene enrichment analysis, involving pathogen infection, PI3K-Akt signaling pathway, chemokine signaling pathway and phospholipase D signaling pathway. Conclusion This study reveals that Moslae Herba may help treat influenza via its anti-inflammatory, antiviral and immunomodulatory proporties, which provides valuable reference for future experimental studies.