冠状动脉疾病和外周动脉疾病的共同遗传特征:来自rna测序数据的综合生物信息学分析的见解

IF 2.3 Q3 BIOCHEMICAL RESEARCH METHODS
Bioinformatics and Biology Insights Pub Date : 2025-06-15 eCollection Date: 2025-01-01 DOI:10.1177/11779322251344123
Abdul Qadir Nawabi, Lijuan Chen
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引用次数: 0

摘要

冠状动脉疾病(CAD)和外周动脉疾病严重影响生活质量。最近的研究表明,外周动脉疾病会增加患冠心病的风险。这些疾病的临床症状包括心悸、疲劳、精神错乱、呼吸短促,严重者可出现心力衰竭或中风。尽管有这些相似之处,但许多疾病没有已知的治疗方法,这引起了对世界卫生的严重关切。该研究旨在确定CAD和外周动脉疾病(PAD)患者之间的共同差异表达基因(DEGs),并研究生物学途径、基于网络的分析、免疫和炎症谱、生物标志物鉴定和多组学整合。这有助于早期发现和有针对性的治疗策略。结果显示,冠心病和外周动脉疾病共有48种deg上调。功能富集分析主要揭示肌原纤维组装和肌动球蛋白组织,突出肌肉发育和细胞结构;KEGG通路分析揭示氨基酸代谢途径。通过STRING构建蛋白-蛋白相互作用(PPIs)网络,并通过Cytoscape插件、CytoHubba和MCODE进行可视化,鉴定出10个枢纽基因,即GLS、CCND2、RBL2、ITGB1、IL6ST、THRB、MBNL1、PDE5A、PROS1和CACNA2D3。大多数这些基因参与关键功能,如电压门控钙通道运输、cGMP降解、RNA剪接、甲状腺激素受体β、IL6ST和细胞因子信号传导,发挥关键作用。在这个子网中,我们确定了10个关键的种子节点,它们是网络结构和功能的组成部分。种子节点突出了重要的调控联系,提供了对所涉及的潜在生物学机制的见解。中枢基因的转录因子调控网络揭示了这一现象。在这个调节网络中找到重要的种子节点,使它们在维持网络完整性和功能方面的作用更加清晰。这可能会导致新的靶向治疗和更好的方法来管理CAD和外周血疾病。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Shared Genetic Characteristics of Coronary Artery Disease and Peripheral artery Disease: Insights From Integrated Bioinformatics Analysis of RNA-Sequencing Data.

Coronary artery disease (CAD) and peripheral artery disease have serious effects on quality of life. Recent studies have shown that peripheral arterial disorders increase a person's risk of developing CAD. The clinical symptoms of these conditions include palpitations, fatigue, confusion, shortness of breath, and, in severe cases, heart failure or stroke. Despite these similarities, many diseases have no known treatments, which raises grave concerns for world health. The study aims to identify common differentially expressed genes (DEGs) between CAD and peripheral arterial disease (PAD) patients and investigate biological pathways, network-based analysis, immune and inflammatory profiling, biomarker identification, and multi-omics integration. This helps in early detection and targeted treatment strategies. The results revealed 48 upregulated DEGs that were shared among CAD and peripheral arterial disorders. Functional enrichment analysis revealed mainly myofibril assembly and actomyosin organization, highlighting muscle development and cellular structure, and KEGG pathway analysis revealed amino acid metabolism pathways. A network of protein-protein interactions (PPIs) was built via the STRING and visualized by Cytoscape plugin, CytoHubba, and MCODE, which led to the identification of 10 hub genes, ie, GLS, CCND2, RBL2, ITGB1, IL6ST, THRB, MBNL1, PDE5A, PROS1, and CACNA2D3. Most of these genes involved in key functions, such as voltage-gated calcium channel trafficking, cGMP degradation, RNA splicing, thyroid hormone receptor beta, IL6ST, and cytokine signaling, play crucial roles. Within this subnetwork, we identified 10 crucial seed nodes that are integral to the network's structure and function. The seed nodes highlight significant regulatory connections, providing insights into the underlying biological mechanisms involved. The transcription factor regulatory network of the hub genes revealed this phenomenon. Finding the important seed nodes in this regulatory network makes their role in maintaining the network's integrity and functionality even more clear. This could lead to new targeted therapies and better ways of managing CAD and peripheral blood disorders.

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来源期刊
Bioinformatics and Biology Insights
Bioinformatics and Biology Insights BIOCHEMICAL RESEARCH METHODS-
CiteScore
6.80
自引率
1.70%
发文量
36
审稿时长
8 weeks
期刊介绍: Bioinformatics and Biology Insights is an open access, peer-reviewed journal that considers articles on bioinformatics methods and their applications which must pertain to biological insights. All papers should be easily amenable to biologists and as such help bridge the gap between theories and applications.
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