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基于 GEO 数据集、网络药理学和分子对接探究烟酰胺单核苷酸治疗高脂饮食诱导的肥厚型心肌病的作用机制。

Mechanisms Underlying the Therapeutic Effects of Nicotinamide Mononucleotide in Treating High-fat Diet-induced Hypertrophic Cardiomyopathy based on GEO Datasets, Network Pharmacology, and Molecular Docking.

机构信息

Hubei Province Key Laboratory of Occupational Hazard Identification and Control, Academy of Nutrition and Health, Institute of Advanced Pharmaceutical Technology, College of Medicine, Wuhan University of Science and Technology, Wuhan 430065, China.

Wuhan Asia General Hospital Affiliated to Wuhan University of Science and Technology, Wuhan 430056, China.

出版信息

Curr Pharm Des. 2024;30(38):3054-3070. doi: 10.2174/0113816128311226240730080713.

DOI:10.2174/0113816128311226240730080713
PMID:39171590
Abstract

BACKGROUND

The beneficial effects of nicotinamide mononucleotide (NMN) on heart disease have been reported, but the effects of NMN on high-fat diet-induced hypertrophic cardiomyopathy (HCM) and its mechanisms of action are unclear. In this study, we systematically explored the effects and mechanism of action of NMN in HCM using network pharmacology and molecular docking.

METHODS

Active targets of NMN were obtained from SWISS, CNKI, PubMed, DrugBank, BingingDB, and ZINC databases. HCM-related targets were retrieved from GEO datasets combined with GeneCards, OMIM, PharmGKB, and DisGeNET databases. A Protein-protein Interaction (PPI) network was built to screen the core targets. DAVID was used for GO and KEGG pathway enrichment analyses. The tissue and organ distribution of targets was evaluated. Interactions between potential targets and active compounds were assessed by molecular docking. A molecular dynamics simulation was conducted for the optimal core protein-compound complexes obtained by molecular docking.

RESULTS

In total, 265 active targets of NMN and 3918 potential targets of HCM were identified. A topological analysis of the PPI network revealed 10 core targets. GO and KEGG pathway enrichment analyses indicated that the effects of NMN were mediated by genes related to inflammation, apoptosis, and oxidative stress, as well as the FOXO and PI3K-Akt signaling pathways. Molecular docking and molecular dynamics simulations revealed good binding ability between the active compounds and screened targets.

CONCLUSION

The possible targets and pathways of NMN in the treatment of HCM have been successfully predicted by this investigation. It provides a novel approach for further investigation into the molecular processes of NMN in HCM treatment.

摘要

背景

烟酰胺单核苷酸(NMN)对心脏病的有益作用已有报道,但 NMN 对高脂肪饮食诱导的肥厚型心肌病(HCM)的影响及其作用机制尚不清楚。在这项研究中,我们通过网络药理学和分子对接系统地研究了 NMN 在 HCM 中的作用和作用机制。

方法

从 SWISS、CNKI、PubMed、DrugBank、BingingDB 和 ZINC 数据库中获得 NMN 的活性靶标。从 GEO 数据集结合 GeneCards、OMIM、PharmGKB 和 DisGeNET 数据库中检索与 HCM 相关的靶标。构建蛋白质-蛋白质相互作用(PPI)网络以筛选核心靶标。DAVID 用于进行 GO 和 KEGG 通路富集分析。评估靶标的组织和器官分布。通过分子对接评估潜在靶标和活性化合物之间的相互作用。对通过分子对接获得的最佳核心蛋白-化合物复合物进行分子动力学模拟。

结果

共鉴定出 265 个 NMN 的活性靶标和 3918 个 HCM 的潜在靶标。PPI 网络的拓扑分析显示出 10 个核心靶标。GO 和 KEGG 通路富集分析表明,NMN 的作用是通过与炎症、细胞凋亡和氧化应激以及 FOXO 和 PI3K-Akt 信号通路相关的基因介导的。分子对接和分子动力学模拟表明,活性化合物与筛选出的靶标之间具有良好的结合能力。

结论

本研究成功预测了 NMN 治疗 HCM 的可能靶标和通路,为进一步研究 NMN 在 HCM 治疗中的分子过程提供了新的方法。

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