基于网络药理学、分子对接和分子动力学模拟的桉叶油醇抵御多柔比星诱导的心脏毒性的潜在机制

Chunmeng Qin, Mei Sun, Feng Lv, Dan Du, Wenjun Li, Songqing Liu
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引用次数: 0

摘要

背景:多柔比星(DOX)是一种广谱抗各种恶性肿瘤的蒽环类抗生素,其临床应用受到多柔比星诱发的心脏毒性(DIC)的限制。目的:本研究旨在探索ERD对DIC产生保护作用的潜在机制:方法:从 TCMSP、PharmMaper、SwissTargetPrediction、TargetNet、BATMAN、GeneCards 和 PharmGKB 数据库中鉴定 ERD 和 DIC 靶点。从 GEO 数据库中提取 DIC 和正常组织之间的差异基因表达数据。利用STRING平台构建了ERD-DIC靶点交叉的蛋白-蛋白相互作用(PPI)网络,并用Cytoscape 3.10.0软件将其可视化。对ERD-DIC交叉靶点进行了基因本体(GO)功能富集分析和京都基因和基因组百科全书(KEGG)通路富集分析。验证包括使用 AutoDock Tools 软件进行分子对接,以及使用 Gromacs 2019.6 软件进行分子动力学模拟:网络药理学分析发现了 43 个 ERD-DIC 交叉靶点,其中包括 6 个关键靶点。GO功能富集分析表明,这些交叉靶点富集在550个生物过程、45个细胞组分和41个分子功能中。KEGG 通路富集分析确定了 114 个富集信号通路。分子对接显示,ERD 与 6 个关键靶点以及 ROS 通路中的多个靶点有很强的结合亲和力。分子动力学模拟表明,ERD 与 3 个关键靶点具有良好的结合力:系统网络药理学分析表明,ERD 可通过多个靶点和途径缓解 DIC,其中 ROS 途径可能起着关键作用。这些发现为ERD治疗DIC的基础研究和临床应用提供了参考。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Potential Mechanism by which Eriodictyol Protects against Doxorubicininduced Cardiotoxicity based on Network Pharmacology, Molecular Docking, and Molecular Dynamics Simulation.

Background: The clinical use of doxorubicin (DOX), an anthracycline antibiotic with broad-spectrum applications against various malignant tumors, is limited by doxorubicininduced cardiotoxicity (DIC). Eriodictyol (ERD) has shown cardioprotective effects, but the mechanism of its protective effect on DIC remains unknown.

Aims: This study aimed to explore the potential mechanisms by which ERD confers protection against DIC.

Methods: ERD and DIC targets were identified from the TCMSP, PharmMaper, SwissTargetPrediction, TargetNet, BATMAN, GeneCards, and PharmGKB databases. Differential gene expression data between DIC and normal tissues were extracted from the GEO database. A protein‒ protein interaction (PPI) network of the intersecting ERD-DIC targets was constructed using the STRING platform and visualized with Cytoscape 3.10.0 software. Gene Ontology (GO) functional enrichment analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis for ERD-DIC cross-targets were conducted. Validation included molecular docking with AutoDock Tools software and molecular dynamics simulations with Gromacs 2019.6 software.

Results: Network pharmacology analysis revealed 43 intersecting ERD-DIC targets, including 6 key targets. GO functional enrichment analysis indicated that the intersecting targets were enriched in 550 biological processes, 45 cell components, and 41 molecular functions. KEGG pathway enrichment analysis identified 114 enriched signaling pathways. Molecular docking revealed a strong binding affinity between ERD and 6 key targets, as well as multiple targets within the ROS pathway. Molecular dynamics simulations indicated that ERD has favorable binding with 3 crucial targets.

Conclusion: The systematic network pharmacology analysis suggests that ERD may mitigate DIC through multiple targets and pathways, with the ROS pathway potentially playing a crucial role. These findings provide a reference for foundational research and clinical applications of ERD in treating DIC.

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