不稳定型心绞痛与急性心肌梗死患者外周血差异表达基因的生物信息学分析
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1.川北医学院附属医院;2.重庆医科大学附属第一医院

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重庆市自然科学基金面上项目(编号CSTB2024NSCQ-MSX1212)


Bioinformatics analysis of differentially expressed genes in peripheral blood of patients with unstable angina pectoris and acute myocardial infarction
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    摘要:

    目的:筛选不稳定型心绞痛与急性心肌梗死患者外周血差异表达基因,探究差异表达基因的分子功能分类、生物学网络调控及关键节点。方法: 从基因表达综合数据库(Gene expression omnibus,GEO)中下载急性冠脉综合征患者外周血的基因芯片数据,利用数据库可视化和集成发现工具网站(Database for annotation, visualization and integrated discovery,DAVID)进行通路和功能富集,利用检索相互作用基因搜索工具(Search tool for recurring instances of neighbouring genes,STRING)网站构建蛋白质-蛋白质相互作用网络,同时从网络中筛选出关键基因。结果:获得750个差异表达基因,其中急性心肌梗死较不稳定心绞痛表达上调的基因 370个,表达下调的基因 380个。功能富集分析显示差异表达基因主要参与细胞外基质组成、转录活性调控等生物学过程,通路分析显示差异表达基因主要参与氨基酸代谢信号通路、肿瘤相关信号通路等。算法分析获得了20个关键基因分别为IGF1、MDM2、KCNA1、OPALIN、AQP4、SMAD4、AKT2、PML、UBE3A、CDK6 、VEGFA、POMC、BDKRB1、BDKRB2、AGTR2、CPR39、EDNRA、SOX9、CD274和CTLA4。结论:本研究通过生物信息学分析差异基因及通路,为急性冠状动脉综合征的机制、诊断标志物及治疗靶点提供依据。

    Abstract:

    Objective: To screen the differentially expressed genes in peripheral blood of patients with unstable angina and acute myocardial infarction, and to explore the molecular function classification, biological network regulation and key nodes of differentially expressed genes. Methods: Gene chip data of the peripheral blood of patients with acute coronary syndrome was downloaded the from Gene Expression Omnibus (GEO) database, functional enrichment analysis was conducted by Database for annotation, visualization and integrated discovery (DAVID) website, protein-protein interaction network was constructed by Search tool for recurring instances of neighbouring genes (STRING) website. Hub genes were screened out from the network. Results: 750 differentially expressed genes were screened, of which 370 genes were up-regulated and 380 genes were down-regulated. Functional enrichment analysis showed that differentially expressed genes were mainly involved in biological processes such as extracellular matrix composition and transcriptional activity regulation. Pathway analysis showed that differentially expressed genes were mainly involved in amino acid metabolism signaling pathways and tumor-related signaling pathways. 20 hub genes were obtained by Degree algorithm analysis, IGF1, MDM2, KCNA1, OPALIN, AQP4, SMAD4, AKT2, PML, UBE3A, CDK6, VEGFA, POMC, BDKRB1, BDKRB2, AGTR2, CPR39, EDNRA, SOX9, CD274 and CTLA4. Conclusion: This study provides a basis for the mechanisms, diagnostic biomarkers, and therapeutic targets of acute coronary syndrome through bioinformatics analysis of differential genes and pathways.

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罗紫菡,罗明昊.不稳定型心绞痛与急性心肌梗死患者外周血差异表达基因的生物信息学分析[J].四川生理科学杂志,2026,48(8):

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  • 收稿日期:2026-06-09
  • 最后修改日期:2026-06-22
  • 录用日期:2026-07-06
  • 在线发布日期: 2026-08-15
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