马林酸抗心肌缺血再灌注损伤的生物靶点和网络机制:生物信息学和实验的综合方法。

IF 1.6 4区 医学 Q4 BIOCHEMICAL RESEARCH METHODS
Qi Li, Guiyuan He, Rujie Zheng, Chunlei Liu, Che Wang, Zhihao Liu, Zhuqing Li, Chengzhi Lu
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引用次数: 0

摘要

背景:Maslinic acid (MA)是一种从油橄榄(Olea europaea)叶子和果实中提取的五环三萜化合物,具有多种药理作用。我们之前的研究发现,MA在心肌缺血再灌注损伤(MIRI)过程中通过调节氧化应激、炎症和细胞凋亡发挥心脏保护作用。然而,关于MA对MI/RI的抗铁下垂作用的数据仍未确定。研究目的:本研究旨在探讨MA对MI/RI诱导的铁下垂的影响,重点通过网络药理学和实验验证相结合的方法阐明其潜在机制。材料和方法:利用几个公共数据库和蛋白蛋白相互作用(PPI)网络来确定MI/RI、铁下垂和MA共有的核心靶点。通过基因本体(GO)和京都基因与基因组百科全书(KEGG)富集分析了核心基因的分子功能、细胞组成、生物学过程和潜在的信号通路。随后进行分子对接和体外实验,进一步验证网络药理学结果。结果:共获得21个独特的交叉基因,作为MA治疗MI/ ri诱导的铁下垂的潜在靶点。从PPI分析中鉴定出10个相互作用得分最高的枢纽基因。GO和KEGG的富集显示了核心基因在MA治疗MI/RI的药理作用和机制中的贡献,特别是与铁中毒相关的信号通路。此外,MA与MAPK、MTOR、STAT3、PTGS2和MDM2等核心靶点对接良好。随后,体外实验显示,MA可显著减轻erastin诱导的H9c2细胞的氧化损伤,减轻亚铁超载和铁凋亡,并调节铁凋亡相关基因(GPX4、PTGS2和ACSL4)的表达。同时,MA可以显著降低H9c2细胞中MAPK (ERK1/2)磷酸化水平。结论:本研究利用网络药理学和实验数据,揭示了MA与心肌梗死/心肌梗死后铁下垂的相关性,认为MA可能通过ERK1/2信号通路减少心肌梗死/心肌梗死后铁下垂。这一发现为MA抗MI/RI的药理学机制提供了新的见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Ferroptosis-related Biotargets and Network Mechanisms of Maslinic Acid Against Myocardial Ischemia-reperfusion Injury: An Integrated Bioinformatic and Experimental Approach.

Background: Maslinic acid (MA), a pentacyclic triterpenoid compound derived from leaves and fruits of Olea europaea, bears multi-pharmacological properties. Our previous studies found that MA exerted a cardioprotective effect by modulating oxidative stress, inflammation, and apoptosis during myocardial ischemia-reperfusion injury (MIRI). Nevertheless, data regarding the anti-ferroptosis effects of MA on MI/RI remains unidentified.

Aim of the study: This study aimed to explore the effects of MA on ferroptosis induced by MI/RI, with a focus on elucidating the underlying mechanisms through an integrated approach of network pharmacology and experimental validation.

Materials and methods: Several public databases and a protein-protein interaction (PPI) network were used to identify the core targets shared by MI/RI, ferroptosis, and MA. The molecular function, cell component, biological process, and potential signaling pathways of core genes were analyzed by Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment. Subsequently, molecular docking and in vitro experiments were carried out to further validate network pharmacology results.

Results: A total of 21 unique intersection genes were obtained as potential targets of MA in treating MI/RI-induced ferroptosis. The 10 hub genes with the highest interaction scores were identified from PPI analysis. GO and KEGG enrichment showed the contribution of the core genes to pharmacological actions and mechanisms in MA treatment of MI/RI, especially the ferroptosis-related signaling pathways. Additionally, MA docked well with ranked core targets, including MAPK, MTOR, STAT3, PTGS2, and MDM2. Subsequently, in vitro experiments revealed that MA notably alleviated oxidative damage, reduced ferrous iron overload and ferroptosis, and regulated the expression of ferroptosis-related genes (GPX4, PTGS2, and ACSL4) in erastin-induced H9c2 cells. Meanwhile, MA could significantly reduce phosphorylation of MAPK (ERK1/2) levels in H9c2 cells.

Conclusion: By utilizing network pharmacology and experimental data, our study revealed the correlation between MA and ferroptosis following MI/RI, and concluded that MA might protect against MI/RI by reducing ferroptosis through the ERK1/2 signaling pathway. This finding offered fresh insights into the pharmacological mechanisms of MA against MI/RI.

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来源期刊
CiteScore
3.10
自引率
5.60%
发文量
327
审稿时长
7.5 months
期刊介绍: Combinatorial Chemistry & High Throughput Screening (CCHTS) publishes full length original research articles and reviews/mini-reviews dealing with various topics related to chemical biology (High Throughput Screening, Combinatorial Chemistry, Chemoinformatics, Laboratory Automation and Compound management) in advancing drug discovery research. Original research articles and reviews in the following areas are of special interest to the readers of this journal: Target identification and validation Assay design, development, miniaturization and comparison High throughput/high content/in silico screening and associated technologies Label-free detection technologies and applications Stem cell technologies Biomarkers ADMET/PK/PD methodologies and screening Probe discovery and development, hit to lead optimization Combinatorial chemistry (e.g. small molecules, peptide, nucleic acid or phage display libraries) Chemical library design and chemical diversity Chemo/bio-informatics, data mining Compound management Pharmacognosy Natural Products Research (Chemistry, Biology and Pharmacology of Natural Products) Natural Product Analytical Studies Bipharmaceutical studies of Natural products Drug repurposing Data management and statistical analysis Laboratory automation, robotics, microfluidics, signal detection technologies Current & Future Institutional Research Profile Technology transfer, legal and licensing issues Patents.
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