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Research on the effect of Bletilla striata and the mechanism of the treatment of bronchoplumonary inflammation based on network pharmacology
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作者 Jie Wang Xiang-Dong Zhou +4 位作者 Qi Li Pan-Hong Jia You-Qing Zhong Ying-Jiao Qin Liang Li 《Journal of Hainan Medical University》 2022年第8期51-58,共8页
Objective:To explore the effect of active compounds of Bletilla Striata,and to predict its mechanism of the treatment of bronchoplumonary inflammation.Methods:Retrieved active compounds of Bletilla Striata from releva... Objective:To explore the effect of active compounds of Bletilla Striata,and to predict its mechanism of the treatment of bronchoplumonary inflammation.Methods:Retrieved active compounds of Bletilla Striata from relevant databases include TCMSP,while retrieved action targets of active compounds and bronchoplumonary inflammation.Received corresponding gene symbols of targets by querying UniProt database.Then drew the compound-target network of Bletilla Striata and action targets network between active compounds and bronchoplumonary inflammation using Cytoscape 3.2.1.Subsequently performed GO functional and KEGG enrichment analysis of key targets through relevent databases including Metascape,meanwhile,analysed Protein-protein interaction using STRING.Results:Bletilla Striata contained 29 active components and 632 corresponding targets.The more important targets included AURKA,BRAF,RAF1,MMP1 and ESR2,213 in total.GO functional enrichment analysis resulted in 2,398 items(P<0.05),including 2096 biological process(BP)items,133 cellular component(CC)items,169 molecular function(MF)items.KEGG enrichment analysis resulted in 160 signal pathways items(P<0.05).There were 33 common targets between 335 action targets of bronchoplumonary inflammation and 95 more important active components of Bletilla Striata.GO functional enrichment analysis resulted in 547 items(P<0.05),including 499 BP items,19 CC items,29 MF items.KEGG enrichment analysis resulted in 46 signal pathways items(P<0.05),mainly involving the IL-17 signaling pathways,platelet activation,endocrine resistance,Fc epsilon RI signaling pathway,Th17 cell differentiation,etc.6 core targets including MAPK14,MMP9,HSP90AA1,ROCK2,PRKCB and PTGS2 were obtained by PPI analysis.They were involved in IL-17 signaling pathway,platelet activation,leukocyte migration,VEGF signaling pathway and Th17 cell differentiation respectively.Conclusion:The study explains"multi-component-multi-target-multi-pathway-multi-disease"is the characteristic of Bletilla Striata using network pharmacology,and predict the active compounds of Bletilla Striata can be used for treatment of bronchoplumonary inflammation with the effect of regulating to anti-inflammation and tissue repair and remoding.This study theoretically verified the functional utility of Bletilla Striata and provided scientific basis and reference direction for further experimental research. 展开更多
关键词 Network pharmacology Bletilla striata bronchoplumonary inflammation Signal pathway
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