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Network pharmacology approach on the mechanism of Sanwu Huangqin Decoction in treating Behcet's disease

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摘要 Objective:To analyze the main compounds of Sanwu Huangqin decoction based on the method of network pharmacology and to predict its possible target and mechanism of action in the treatment of Behcet's disease(BD).Methods:TCMSP,TCMID and literatures were used to search the main compounds and their corresponding targets of Sanwu Huangqin Decoction;the disease targets of BD were searched by GeneCards database;the intersection targets of Sanwu Huangqin Decoction and BD were visualized by String database and Cytoscape software;the intersection targets were enriched by GO and KEGG by DAVID database;BD mouse model was established,RT-PCR was used to verify the regulatory effect of Sanwu Huangqin Decoction on the core target genes.Results:A total of 81 main active compounds and 50 drug-disease-target were retrieved from the databases.There were 531 biological function information and 96 signal pathways were enriched by GO and KEGG.Among them,the top 5 signal pathways were Fluid shear stress and atherosclerosis、AGE-RAGE signaling pathway in diabetic complications、IL-17 signaling pathway、TNF signaling pathway、Malaria、Chagas disease(American trypanosomiasis).RT-PCR results showed that the expression of IL-4,IL-1β,IL-6,INF-γmRNA in the spleen of BD mice was significantly up-regulated,and the expression of Caspase 3 and Caspase 8 mRNA was significantly down regulated when compared with the control group(P<0.01).Compared with the model group,the expression of IL-4,IL-1β,IL-6,INF-γmRNA in the Sanwu Huangqin decoction group was significantly down regulated,and the expression of caspase 3 and caspase 8 mRNA was significantly up regulated(P<0.01).Conclusion:Sanwu Huangqin decoction can treat BD through multi-target and multi-channel therapy,and our study and our research provides bioinformatics basis for further revealing its mechanism and treatment.
出处 《Journal of Hainan Medical University》 2020年第9期37-43,共7页 海南医学院学报(英文版)
基金 General Project of Heilongjiang Provincial Natural Science Foundation(No.H2017064)
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