Exploring Mechanisms of Ephx2 in Treating Atherosclerosis Using Independent Cascade Model and Adverse Outcome Pathways.

IF 1.6 4区 医学 Q4 BIOCHEMICAL RESEARCH METHODS
Caiyuzhen Zhang, Yuanwen Dai, Yong Chen, Bo Cao, Jinbing An, Wei Pang
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引用次数: 0

Abstract

Background: Atherosclerosis (AS) is a leading cause of cardiovascular diseases, characterized by lipid accumulation in arterial walls. The enzyme Ephx2 (soluble epoxide hydrolase, sEH) is implicated in AS development, but its precise mechanisms and therapeutic potential are not fully understood.

Objectives: This study aimed to analyze gene expression data from low-density lipoprotein receptor knockout (LDLR⁸/⁸) and LDLR⁸/⁸sEH⁸/⁸ mice to identify significant genes associated with AS.

Methods: A directed compound-protein interaction network was constructed based on these genes and related pathways from the Kyoto Encyclopedia of Genes and Genomes (KEGG) database. In the end, through resistance distance (RD) between any two nodes in this network, the Independent Cascade (IC) model was applied to explore Ephx2 mechanisms in AS, such as important Adverse Outcome Pathways (AOPs).

Results: Several AOPs were identified as critical in AS treatment via Ephx2. The key AOPs included inflammatory response and cytokine release, cholesterol deposition and oxidation, disruption of plaque stability, smooth muscle cell proliferation and migration, and platelet activation and coagulation. Within the top AOPs of inflammatory response and cytokine release, potential target genes were identified, such as Mapk3, PiK3cd, Gnai2, Mapk10, Arnt, and RhoA. Critical paths from Ephx2 to these target genes were established, suggesting mechanisms by which Ephx2 may influence AS pathogenesis.

Conclusion: By defining the AS network and corresponding RD, this study elucidated potential mechanisms by which Ephx2 affects AS through specific KEGG pathways, AOPs, and target genes. These findings enhanced the understanding of AS pathogenesis and highlighted potential targets like Mapk3 for developing therapeutic strategies in AS prevention and treatment.

背景:动脉粥样硬化(AS)是心血管疾病的主要病因,其特征是动脉壁上的脂质堆积。Ephx2酶(可溶性环氧化物水解酶,sEH)与动脉粥样硬化的发展有关,但其确切机制和治疗潜力尚未完全清楚:本研究旨在分析低密度脂蛋白受体基因敲除(LDLR⁸/⁸)和 LDLR⁸/⁸sEH⁸/⁸小鼠的基因表达数据,以确定与强直性脊柱炎相关的重要基因:方法:根据这些基因和京都基因组百科全书(KEGG)数据库中的相关通路,构建了一个有向复合蛋白相互作用网络。最后,通过该网络中任意两个节点之间的抗性距离(RD),应用独立级联(IC)模型探索Ephx2在强直性脊柱炎中的作用机制,如重要的不良结果通路(AOPs):结果:通过 Ephx2,确定了一些在强直性脊柱炎治疗中至关重要的 AOPs。关键的AOPs包括炎症反应和细胞因子释放、胆固醇沉积和氧化、斑块稳定性破坏、平滑肌细胞增殖和迁移以及血小板活化和凝结。在炎症反应和细胞因子释放的顶级 AOPs 中,确定了潜在的靶基因,如 Mapk3、PiK3cd、Gnai2、Mapk10、Arnt 和 RhoA。建立了从Ephx2到这些靶基因的关键路径,提示了Ephx2可能影响强直性脊柱炎发病机制:本研究通过定义强直性脊柱炎网络和相应的RD,阐明了Ephx2通过特定的KEGG通路、AOPs和靶基因影响强直性脊柱炎的潜在机制。这些发现加深了人们对强直性脊柱炎发病机制的理解,并突出了Mapk3等潜在靶点,有助于制定预防和治疗强直性脊柱炎的治疗策略。
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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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