大柴胡汤治疗高血压病潜在机制的网络药理学研究

目的:基于网络药理学的研究方法,对大柴胡汤治疗高血压病的作用机制进行预测分析.方法:从中药系统药理学分析平台,根据口服利用度≥30％和类药性≥0.18分析,对大柴胡汤有效活性成分进行筛选;采用Swiss Target Prediction数据库检索成分相对应的靶点,构建"中药-化合物-靶点"网络图;利用OMIM、Dis...

Network Pharmacology Study on the Potential Mechanism of Dachaihu Decoction in the Treatment of Hypertension

Objective:To predict and analyze the mechanism of Dachaihu Decoction in the treatment of hypertension based on the research method of network pharmacology.Methods:According to the oral utilization(OB≥30%)and medicine analogues analysis(DL≥0.18),the active components of Dachaihu Decoction were screened from the platform of systematic pharmacology of Chinese medicine.Swiss Target Prediction database was used to search the target points corresponding to the components,and the network diagram of"Chinese materia medica-compound-target"was constructed.OMIM,DisGeNET,PharmGKB and other databases were used to search hypertension related targets.The direct target of Dachaihu Decoction in the treatment of hypertension was obtained by further mapping the meidicine and disease targets.The medicine-disease interaction network was constructed by using STRING,and the key targets were screened by using the CytoNC plug-in in Cytoscape3.6.1 software.ClueGO plug-in,Funrich software and biological information annotation library were used to analyze the GO and KEGG pathway of direct targets.Results:135 active components were screened from Dachaihu Decoction,involving 170 potential targets;1169 targets for hypertension;84 targets for direct interaction between medicine and diseases,involving 55 related pathways.Dachaihu Decoction may exert antihypertensive effect through key targets such as interleukin-6(IL-6),IL-1β,tumor necrosis factor(TNF),vascular endothelial growth factor(VEGF)and nitric oxide synthase(NOS3).It is involved in TNF signaling pathway,calcium signaling pathway,VEGF signaling pathway,and neuroactive ligand receptor interaction pathway to regulate blood pressure.Conclusion:135 active components were screened from Dachaihu decoction,involving 170 potential targets;1169 targets for hypertension;84 targets for direct interaction between medicine and diseases,involving 55 related pathways.