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基于网络药理学和分子对接技术探讨桃红四物汤治疗原发性痛经的活性成分及作用机制

[Active components and mechanism of Taohong Siwu Decoction in treatment of primary dysmenorrhea based on network pharmacology and molecular docking technology].

作者信息

Sheng-Ju Wang, Qian-Qian Liu, Hua-Juan Jiang, Yan-Fen Cheng, Yu-Hang Yan, Yao H E, Jin-Ming Zhang, Jin Pei

机构信息

Key Laboratory of Ministry of Education for the Standardization of Traditional Chinese Medicine, School of Pharmacy,Chengdu University of Traditional Chinese Medicine Chengdu 611137, China.

出版信息

Zhongguo Zhong Yao Za Zhi. 2020 Nov;45(22):5373-5382. doi: 10.19540/j.cnki.cjcmm.20200723.401.

Abstract

This paper aimed to investigate the active components and mechanism of Taohong Siwu Decoction in the treatment of primary dysmenorrhea(PD) based on network pharmacology and molecular docking technology. Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform(TCMSP) was used to search the chemical compositions and targets of six herbs in Taohong Siwu Decoction. The targets for PD treatment were selected through the databases of DrugBank, OMIM, TTD and CTD, and gene annotation of the targets was conducted with UniProt database. Cytoscape 3.7.2 was then used to construct the drug-compound-target network. The protein-protein interaction(PPI) network was constructed based on STRING, and the core targets of Taohong Siwu Decoction in the treatment of PD were selected according to the topological parameters. David database was used for GO enrichment analysis and KOBAS 3.0 was used for KEGG enrichment analysis. The molecular docking technology was used to connect the components with higher medium values in the network with core targets. The results showed that the network contained 36 compounds such as quercetin, kaempferol, luteolin, myricanone and ferulic acid, and 99 targets such as PTGS2, PTGS2, PGR and PPARG. Totally 102 GO terms were obtained by GO functional enrichment analysis(P<0.01), and 228 signal pathways were obtained by KEGG pathway enrichment(P<0.05), mainly involving inflammatory factors, hormone regulation, central analgesia, amino acid metabolism and spasmolysis. The results of molecular docking showed that the main active components can spontaneously bind to the targets. This study preliminarily revealed the mechanism of Taohong Siwu Decoction for treatment of primary dysmenorrheal through multi-components, multi-targets and multi-pathways, providing theoretical references for further researches on mechanism of Taohong Siwu Decoction.

摘要

本文旨在基于网络药理学和分子对接技术,探讨桃红四物汤治疗原发性痛经(PD)的活性成分及作用机制。运用中药系统药理学数据库与分析平台(TCMSP)检索桃红四物汤中六味药材的化学成分及靶点。通过DrugBank、OMIM、TTD和CTD数据库筛选PD治疗靶点,并利用UniProt数据库对靶点进行基因注释。然后用Cytoscape 3.7.2构建药物-化合物-靶点网络。基于STRING构建蛋白质-蛋白质相互作用(PPI)网络,并根据拓扑参数筛选桃红四物汤治疗PD的核心靶点。使用David数据库进行GO富集分析,KEGG 3.0进行KEGG富集分析。运用分子对接技术将网络中中值较高的成分与核心靶点进行对接。结果表明,该网络包含槲皮素、山柰酚、木犀草素、杨梅黄素和阿魏酸等36种化合物,以及PTGS2、PGR和PPARG等99个靶点。通过GO功能富集分析共获得102个GO术语(P<0.01),通过KEGG通路富集获得228条信号通路(P<0.05),主要涉及炎症因子、激素调节、中枢镇痛、氨基酸代谢和解痉等。分子对接结果表明,主要活性成分可与靶点自发结合。本研究初步揭示了桃红四物汤治疗原发性痛经的多成分、多靶点、多途径作用机制,为进一步研究桃红四物汤的作用机制提供了理论参考。

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