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网络药理学、分子对接和分子动力学模拟揭示了阔叶乌檀治疗乳腺癌的分子靶点和潜在机制。

Network Pharmacology, Molecular Docking, and Molecular Dynamics Simulation Revealed the Molecular Targets and Potential Mechanism of Nauclea Latifolia in the Treatment of Breast Cancer.

作者信息

Zemnou Cromwel Tepap

机构信息

EuroMed University of Fes (UEMF), Fes, Morocco.

出版信息

Chem Biodivers. 2025 Mar;22(3):e202402423. doi: 10.1002/cbdv.202402423. Epub 2024 Nov 26.

DOI:10.1002/cbdv.202402423
PMID:39503628
Abstract

Breast cancer (BRCA) incidence is increasing, posing a significant public health challenge and necessitating effective treatment solutions. Nauclea latifolia (N. latifolia) has shown anticancer activity against multidrug-resistant BRCA cells, though its mechanism of action remains unclear. We used online databases Swiss Target Prediction and GeneCards to identify therapeutic targets for BRCA and active compounds in N. latifolia. Protein-protein interaction (PPI) network was constructed using the STRING database and Cytoscape. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were performed using the DAVID database. Molecular docking, gene expression, and survival analyses of core targets were conducted using Autodock 4.0 and GEPIA2 database. We identified 141 intersecting targets for BRCA and N. latifolia compounds, with key targets including ALB, AKT1, ESR1, STAT3, EGFR, SRC, PTGS2, GSK3B, MMP9, and PPAR1. These targets are involved in cell proliferation and death through pathways such as the PI3 K-Akt signaling system, metabolic pathways, cancer pathways, and proteoglycans in cancer. Gene expression and survival analysis indicated these targets as potential markers for BRCA treatment prognosis. This study provides insights into the mechanism of action of N. latifolia against BRCA cells and gives a basis to clinicians for future drug development.

摘要

乳腺癌(BRCA)的发病率正在上升,这对公共卫生构成了重大挑战,因此需要有效的治疗方案。阔叶乌檀已显示出对多药耐药的BRCA细胞具有抗癌活性,但其作用机制尚不清楚。我们使用在线数据库Swiss Target Prediction和GeneCards来确定BRCA的治疗靶点以及阔叶乌檀中的活性化合物。使用STRING数据库和Cytoscape构建蛋白质-蛋白质相互作用(PPI)网络。使用DAVID数据库进行基因本体(GO)和京都基因与基因组百科全书(KEGG)通路富集分析。使用Autodock 4.0和GEPIA2数据库对核心靶点进行分子对接、基因表达和生存分析。我们确定了141个BRCA与阔叶乌檀化合物的交集靶点,关键靶点包括ALB、AKT1、ESR1、STAT3、EGFR、SRC、PTGS2、GSK3B、MMP9和PPAR1。这些靶点通过PI3K-Akt信号系统、代谢途径、癌症途径和癌症中的蛋白聚糖等途径参与细胞增殖和死亡。基因表达和生存分析表明这些靶点是BRCA治疗预后的潜在标志物。本研究深入探讨了阔叶乌檀对BRCA细胞的作用机制,为临床医生未来的药物开发提供了依据。

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