Objective To predict and screen the main active components of Buyang Huanwu Decoction on Parkinson's disease and its potential targets by using network pharmacology technology,and to explore the mechanism of multi-target-multi-component intervention of Buyang Huanwu Decoction. Methods The bioinformatics analysis tool for molecular action mechanism of traditional chinese medicine was used to predict and screen the target of active ingredients of Buyang Huanwu Decoction. The Cytoscape software was used to construct the component-target network of Buyang Huanwu Decoction for the treatment of Parkinson's disease. Results 454 active components were screened in Buyang Huanwu Decoction,involving 18 targets related to Parkinson's disease,and the active components interacted well with the predicted targets. The predicted 18 targets were mainly related to ACHE,targets such as APOE and BCHE were related. Conclusion The characteristics of multi-component and multi-target of Buyang Huanwu Decoction are verified by network pharmacology. The main mechanism of action of Buyang Huanwu Decoction in the treatment of Parkinson's disease is predicted,which provides a theoretical basis for the study of its active ingredients.%目的 通过网络药理学技术预测并筛选补阳还五汤治疗帕金森病的主要活性成分及其潜在靶点,探讨补阳还五汤对帕金森病的疾病-多靶点-多成分的干预作用机制.方法 通过中药分子作用机制的生物信息学分析工具(BATMAN-TCM)疾病分类预测和筛选补阳还五汤活性成分的作用靶点.采用Cytoscape软件构建补阳还五汤活性治疗帕金森病的成分-靶点网络.结果 在补阳还五汤中筛选出454个活性成分,共涉及帕金森病等18个靶点,且活性成分与预测的靶点有较好的相互作用,预测的18个靶点主要与ACHE、APOE、BCHE等靶点有关.结论 通过网络药理学验证了补阳还五汤多成分、多靶点的作用特点,预测表明了补阳还五汤治疗帕金森病的主要作用机制,为其活性成分开展研究提供理论依据.
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