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利用网络药理学和分子对接技术探讨桂枝茯苓丸治疗子宫内膜异位症的潜在机制。

Utilizing network pharmacology and molecular docking to explore the underlying mechanism of Guizhi Fuling Wan in treating endometriosis.

作者信息

Wang Haoxian, Zhou Gang, Zhuang Mingyan, Wang Wei, Fu Xianyun

机构信息

Medical College, China Three Gorges University, Yichang, China.

College of Traditional Chinese Medicine, Three Gorges University & Yichang Hospital of Traditional Chinese Medicine, Yichang, China.

出版信息

PeerJ. 2021 Apr 2;9:e11087. doi: 10.7717/peerj.11087. eCollection 2021.

Abstract

BACKGROUND

Guizhi Fuling Wan (GZFLW) is a widely used classical Chinese herbal formulae prescribed for the treatment of endometriosis (EMs). This study aimed to predict the key targets and mechanisms of GZFLW in the treatment of EMs by network pharmacology and molecular docking.

METHODS

Firstly, related compounds and targets of GZFLW were identified through the TCMSP, BATMAN-TCM and CASC database. Then, the EMs target database was built by GeneCards. The overlapping targets between GZFLW and EMs were screened out, and then data of the PPI network was obtained by the STRING Database to analyze the interrelationship of these targets. Furthermore, a topological analysis was performed to screen the hub targets. After that, molecular docking technology was used to confirm the binding degree of the main active compounds and hub targets. Finally, the DAVID database and Metascape database were used for GO and KEGG enrichment analysis.

RESULTS

A total of 89 GZFLW compounds and 284 targets were collected. One hundred one matching targets were picked out as the correlative targets of GZFLW in treating EMs. Among these, 25 significant hub targets were recognized by the PPI network. Coincidently, molecular docking simulation indicated that the hub targets had a good bonding activity with most active compounds (69.71%). Furthermore, 116 items, including the inflammatory reaction, RNA polymerase, DNA transcription, growth factor activity, and steroid-binding, were selected by GO enrichment analysis. Moreover, the KEGG enrichment analysis results included 100 pathways focused on the AGE-RAGE pathway, HIF pathway, PI3K Akt pathway, MAPK pathway, and TP53 pathway, which exposed the potential mechanisms of GZFLW in treating EMs. Also, the MTT colorimetric assay indicated that the cell proliferation could be inhibited by GZFLW. Compared with the control group, the protein levels of P53, BAX, and caspase3 in the drug groups were all increased in Western blotting results. The results of flow cytometry showed that the percentage of apoptotic cells in the GZFLW group was significantly higher than that in the control group.

CONCLUSION

Through the exploration of network pharmacology and molecular docking technology, GZFLW has a therapeutic effect on EMs through multi-target mechanism. This study provided a good foundation for further experimental research.

摘要

背景

桂枝茯苓丸(GZFLW)是一种广泛用于治疗子宫内膜异位症(EMs)的经典中药方剂。本研究旨在通过网络药理学和分子对接预测GZFLW治疗EMs的关键靶点和机制。

方法

首先,通过中药系统药理学数据库与分析平台(TCMSP)、中药分子机制生物信息学分析工具(BATMAN-TCM)和中国科学院上海药物研究所计算机辅助药物设计中心数据库(CASC)鉴定GZFLW的相关化合物和靶点。然后,通过基因卡片(GeneCards)构建EMs靶点数据库。筛选出GZFLW与EMs之间的重叠靶点,然后通过STRING数据库获得蛋白质-蛋白质相互作用(PPI)网络数据,以分析这些靶点的相互关系。此外,进行拓扑分析以筛选枢纽靶点。之后,使用分子对接技术确认主要活性化合物与枢纽靶点的结合程度。最后,利用DAVID数据库和Metascape数据库进行基因本体(GO)和京都基因与基因组百科全书(KEGG)富集分析。

结果

共收集到89种GZFLW化合物和284个靶点。挑选出101个匹配靶点作为GZFLW治疗EMs的相关靶点。其中,通过PPI网络识别出25个重要的枢纽靶点。巧合的是,分子对接模拟表明枢纽靶点与大多数活性化合物具有良好的结合活性(69.71%)。此外,通过GO富集分析选择了116项,包括炎症反应、RNA聚合酶、DNA转录、生长因子活性和类固醇结合。此外,KEGG富集分析结果包括100条通路,重点是晚期糖基化终末产物受体(AGE-RAGE)通路、缺氧诱导因子(HIF)通路、磷脂酰肌醇-3-激酶/蛋白激酶B(PI3K/Akt)通路、丝裂原活化蛋白激酶(MAPK)通路和TP53通路,这些揭示了GZFLW治疗EMs的潜在机制。此外,MTT比色法表明GZFLW可抑制细胞增殖。与对照组相比,药物组中P53、BAX和半胱天冬酶3(caspase3)的蛋白质水平在蛋白质免疫印迹结果中均升高。流式细胞术结果显示,GZFLW组凋亡细胞的百分比显著高于对照组。

结论

通过网络药理学和分子对接技术的探索,GZFLW通过多靶点机制对EMs具有治疗作用。本研究为进一步的实验研究提供了良好的基础。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d204/8020871/43f93731e77a/peerj-09-11087-g001.jpg

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