Exploring the Mechanism of Myrrh in the Treatment of Breast Cancer Based on Network Pharmacology and Cell Experiments

IF 3.2 4区 医学 Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY
Wu Tao, Yu Xufeng, Chen Xianmei, Qu Mengrou, Wang Jieqiong, Qiao Mingqi
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Abstract

This study aimed to investigate the mechanism of action of myrrh in breast cancer (BC) treatment and identify its effective constituents. Data on the compounds and targets of myrrh were collected from the TCMSP, PubChem, and Swiss Target Prediction databases. BC-related targets were obtained from the Genecard database. A protein–protein interaction (PPI) analysis, gene ontology (GO) enrichment, and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis were conducted on the intersecting targets of the disease and drug. The key targets of myrrh in BC treatment were identified based on the PPI network. The active constituents of myrrh were determined through reverse-screening using the top 20 KEGG pathways. Macromolecular docking studies, molecular dynamic (MD) simulations, and cell assays were utilized to validate the active constituents and critical targets. Network pharmacology indicated that VEGFA, TP53, ESR1, EGFR, and AKT1 are key targets of myrrh. Pelargonidin chloride, Quercetin, and Naringenin were identified as the active constituents of myrrh. Macromolecular docking showed that Quercetin and Naringenin have strong docking capabilities with ESR1. The results of MD simulation experiments align with those of molecular docking experiments. Cell and western blot assays demonstrated that Quercetin and Naringenin could inhibit MCF-7 cells and significantly reduce the expression of ESR1 protein. The findings reveal the active constituents, key targets, and molecular mechanisms of myrrh in BC treatment, providing scientific evidence that supports the role of myrrh in BC therapy. Furthermore, the results suggest that network pharmacology predictions require experimental validation for reliability.

Abstract Image

基于网络药理学和细胞实验探索没药治疗乳腺癌的机制
本研究旨在探究没药治疗乳腺癌(BC)的作用机制,并确定其有效成分。没药的化合物和靶点数据来自 TCMSP、PubChem 和 Swiss Target Prediction 数据库。与乳腺癌相关的靶点来自 Genecard 数据库。对疾病和药物的交叉靶点进行了蛋白-蛋白相互作用(PPI)分析、基因本体(GO)富集和京都基因和基因组百科全书(KEGG)分析。根据PPI网络,确定了没药治疗BC的关键靶点。利用 KEGG 通路的前 20 条进行反向筛选,确定了没药的活性成分。利用大分子对接研究、分子动力学(MD)模拟和细胞试验验证了活性成分和关键靶点。网络药理学表明,VEGFA、TP53、ESR1、表皮生长因子受体和 AKT1 是没药的关键靶点。氯化没药黄素、槲皮素和柚皮苷被确认为没药的活性成分。大分子对接表明,槲皮素和柚皮素与 ESR1 具有很强的对接能力。MD 模拟实验结果与分子对接实验结果一致。细胞和 Western 印迹实验表明,槲皮素和柚皮素能抑制 MCF-7 细胞,并显著降低 ESR1 蛋白的表达。研究结果揭示了没药在治疗乳腺癌中的活性成分、关键靶点和分子机制,为没药在乳腺癌治疗中发挥作用提供了科学依据。此外,研究结果还表明,网络药理学预测的可靠性需要实验验证。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Chemical Biology & Drug Design
Chemical Biology & Drug Design 医学-生化与分子生物学
CiteScore
5.10
自引率
3.30%
发文量
164
审稿时长
4.4 months
期刊介绍: Chemical Biology & Drug Design is a peer-reviewed scientific journal that is dedicated to the advancement of innovative science, technology and medicine with a focus on the multidisciplinary fields of chemical biology and drug design. It is the aim of Chemical Biology & Drug Design to capture significant research and drug discovery that highlights new concepts, insight and new findings within the scope of chemical biology and drug design.
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