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藏药翼首草抗类风湿性关节炎活性成分靶点的网络药理学研究 被引量:18

Study on the Active Components Targets of Tibetan Medicine Pterocephalus hookeri in Anti-rheumatoid Arthritis Based on Network Pharmacology
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摘要 目的:探索藏药翼首草治疗类风湿性关节炎(RA)的多成分、多靶点、多途径作用机制。方法:将选取的目标化合物(即翼首草10个化学成分结构)采用相关软件进行数据的导入和存储,使用Pharm Mapper和Drug Bank数据库进行靶点预测和筛选,通过MAS 3.0数据库对靶点进行通路获取并分析,最后使用Cytoscape 3.4.0软件构建翼首草"活性成分-靶点-通路"网络。结果:将Pharm Mapper数据库中获得的靶点信息与Drug Bank数据库中与炎症相关药物的靶点进行比对,得到26个可能与翼首草治疗RA相关的潜在作用靶点,其中MAPK14、RXRA、ALB、PDE4D、VDR等靶点可能是翼首草活性成分治疗RA的主要潜在靶点基因群;26个作用靶点通过通路注释后得到57条作用通路,除27条与RA相关外,还涉及与内分泌调节、免疫相关的其他30条作用通路。结论:根据网络药理学研究结果认为,翼首草可通过作用于炎症、免疫、内分泌等相关的靶点及通路,发挥治疗RA的作用。 OBJECTIVE:To explore the multi-component,multi-target,multi-channel mechanism of Tibetan medicine Pterocephalus hookeri in the treatment of rheumatoid arthritis(RA). METHODS:The selected target compounds(10 chemical structures of P. hookeri)were imported and stored by related software;target prediction and filtering were conducted by Pharm Mapper and Drug Bank databases. The pathways of targets were acquired and analyzed by MAS 3.0 database. Finally P. hookeri"active component-targeting-pathway"network was constructed by Cytoscape 3.4.0 software. RESULTS:The target information obtained in the Pharm Mapper database were compared with that of the Drug Bank database for inflammation-related drugs,26 potential targets for the treatment of RA were obtained,in which MAPK14,RXRA,ALB,PDE4 D,VDR may be the main potential target gene group in the treatment of RA. 57 functional pathways were obtained after 26 functional targets were annotated by pathway. In addition to27 RA-related pathways,30 other pathways such as endocrine regulation and immune were involved. CONCLUSIONS:Base on the study of network pharmacology,P. hookeri plays the role in the treatment of RA by acting on inflammation,immune,endocrine and related targets and pathways.
出处 《中国药房》 CAS 北大核心 2017年第19期2666-2670,共5页 China Pharmacy
基金 国家自然科学基金面上项目(No.81274193) 四川省教育厅省属高校科研创新团队建设计划项目(No.11TD004)
关键词 藏药翼首草 网络药理学 类风湿性关节炎 活性成分 靶点 Tibetan medicine Pterocephalus hookeri Network pharmacology Rheumatoid arthritis Active components Target
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