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基于网络药理学和实验验证的通关藤抗卵巢癌作用机制

[Mechanism of Marsdenia tenacissima against ovarian cancer based on network pharmacology and experimental verification].

作者信息

Hu Yu-Jie, Wei Lan-Yi, Zhao Juan, Zhu Qin-Fang, Meng Zhao-Yang, Meng Jing-Jing, Chen Jun-Jun, Xu Ling-Yan, Zhou Yang-Yun, Han Yong-Long

机构信息

Shanghai Sixth People's Hospital Affiliated to School of Medicine, Shanghai Jiao Tong University Shanghai 200030, China.

Shanghai Ocean University Shanghai 201306, China.

出版信息

Zhongguo Zhong Yao Za Zhi. 2023 Apr;48(8):2222-2232. doi: 10.19540/j.cnki.cjcmm.20230103.704.

Abstract

The present study aimed to explore the main active components and underlying mechanisms of Marsdenia tenacissima in the treatment of ovarian cancer(OC) through network pharmacology, molecular docking, and in vitro cell experiments. The active components of M. tenacissima were obtained from the literature search, and their potential targets were obtained from SwissTargetPrediction. The OC-related targets were retrieved from Therapeutic Target Database(TTD), Online Mendelian Inheritance in Man(OMIM), GeneCards, and PharmGKB. The common targets of the drug and the disease were screened out by Venn diagram. Cytoscape was used to construct an "active component-target-disease" network, and the core components were screened out according to the node degree. The protein-protein interaction(PPI) network of the common targets was constructed by STRING and Cytoscape, and the core targets were screened out according to the node degree. GO and KEGG enrichment analyses of potential therapeutic targets were carried out with DAVID database. Molecular docking was used to determine the binding activity of some active components to key targets by AutoDock. Finally, the anti-OC activity of M. tenacissima extract was verified based on SKOV3 cells in vitro. The PI3K/AKT signaling pathway was selected for in vitro experimental verification according to the results of GO function and KEGG pathway analyses. Network pharmacology results showed that 39 active components, such as kaempferol, 11α-O-benzoyl-12β-O-acetyltenacigenin B, and drevogenin Q, were screened out, involving 25 core targets such as AKT1, VEGFA, and EGFR, and the PI3K-AKT signaling pathway was the main pathway of target protein enrichment. The results of molecular docking also showed that the top ten core components showed good binding affinity to the top ten core targets. The results of in vitro experiments showed that M. tenacissima extract could significantly inhibit the proliferation of OC cells, induce apoptosis of OC cells through the mitochondrial pathway, and down-regulate the expression of proteins related to the PI3K/AKT signaling pathway. This study shows that M. tenacissima has the characteristics of multi-component, multi-target, and multi-pathway synergistic effect in the treatment of OC, which provides a theoretical basis for in-depth research on the material basis, mechanism, and clinical application.

摘要

本研究旨在通过网络药理学、分子对接和体外细胞实验,探索通关藤治疗卵巢癌(OC)的主要活性成分及潜在机制。通关藤的活性成分通过文献检索获得,其潜在靶点从SwissTargetPrediction获取。OC相关靶点从治疗靶点数据库(TTD)、人类孟德尔遗传在线(OMIM)、GeneCards和PharmGKB中检索。通过韦恩图筛选出药物与疾病的共同靶点。利用Cytoscape构建“活性成分-靶点-疾病”网络,并根据节点度筛选出核心成分。通过STRING和Cytoscape构建共同靶点的蛋白质-蛋白质相互作用(PPI)网络,并根据节点度筛选出核心靶点。利用DAVID数据库对潜在治疗靶点进行基因本体(GO)和京都基因与基因组百科全书(KEGG)富集分析。通过AutoDock利用分子对接确定部分活性成分与关键靶点的结合活性。最后,基于SKOV3细胞在体外验证通关藤提取物的抗OC活性。根据GO功能和KEGG通路分析结果,选择PI3K/AKT信号通路进行体外实验验证。网络药理学结果显示,筛选出39种活性成分,如槲皮素、11α-O-苯甲酰基-环娃儿藤苷元B和娃儿藤苷元Q等,涉及25个核心靶点,如AKT1、血管内皮生长因子A(VEGFA)和表皮生长因子受体(EGFR)等,PI3K-AKT信号通路是靶点蛋白富集的主要通路。分子对接结果还显示,排名前十的核心成分与排名前十的核心靶点表现出良好的结合亲和力。体外实验结果表明,通关藤提取物可显著抑制OC细胞增殖,通过线粒体途径诱导OC细胞凋亡,并下调PI3K/AKT信号通路相关蛋白的表达。本研究表明,通关藤在治疗OC方面具有多成分、多靶点、多途径协同作用的特点,为深入研究其物质基础、作用机制及临床应用提供了理论依据。

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