Bioinformatics analysis to identify potential biomarkers and therapeutic targets for ST-segment-elevation myocardial infarction-related ischemic stroke.

Bioinformatics analysis to identify potential biomarkers and therapeutic targets for ST-segment-elevation myocardial infarction-related ischemic stroke.
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DOI:
10.3389/fneur.2022.894289
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发表时间:
2022
影响因子:
3.4
通讯作者:
Liu, Xinfeng
Liu, Xinfeng
中科院分区:
医学3区
文献类型:
--
作者:
Feng, Shuo;Li, Rui;Zhou, Qingqing;Qu, Fengling;Hu, Wei;Liu, Xinfeng

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急性心肌梗死(AMI)是世界范围内导致死亡和致残的主要原因之一,而缺血性卒中(IS)是急性心肌梗死后的严重并发症。特别是,ST段抬高心肌梗死(STEMI)患者更容易发生IS。然而,这两种致病机制之间的相互关系尚不清楚。利用生物信息学工具,我们研究了STEMI患者普遍表达的基因,并探索了这些疾病之间的关系,目的是揭示STEMI相关IS的潜在生物标志物和治疗靶点。通过对基因表达总集GSE60993和GSE16561的生物信息学分析,鉴定了与STEMI和IS相关的差异表达基因(DEG)。此后,我们使用不同的预测和网络分析方法评估了蛋白质-蛋白质相互作用网络、基因本体论术语注释和DEGS的途径丰富。预测的针对共表达的STEMI和IS相关deg的miRNAs也被评估。我们在GSE60993和GSE16561中分别鉴定出210和29个deg。CD8A、TLR2、TLR4、S100A12和TREM1与STEMI相关,而IL 7R、CCR7、FCGR3B、CD79A和ITK等杂合子基因与IS相关。此外,共表达的MMP9、ARG1、CA4、CRISPLD2、S100A12和GZMK的转录产物与其相应的预测miRNAs,特别是miR-654-5p的结合可能与STEMI相关的IS有关。STEMI与IS相关,MMP9、ARG1、CA4、CRISPLD2、S100A12和GZMK基因可能是STEMI相关IS的潜在生物标志物。
Acute myocardial infarction (AMI) is one of the major causes of mortality and disability worldwide, and ischemic stroke (IS) is a serious complication after AMI. In particular, patients with ST-segment–elevation myocardial infarction (STEMI) are more susceptible to IS. However, the interrelationship between the two disease mechanisms is not clear. Using bioinformatics tools, we investigated genes commonly expressed in patients with STEMI and IS to explore the relationship between these diseases, with the aim of uncovering the underlying biomarkers and therapeutic targets for STEMI-associated IS. Differentially expressed genes (DEGs) related to STEMI and IS were identified through bioinformatics analysis of the Gene Expression Omnibus (GEO) datasets GSE60993 and GSE16561, respectively. Thereafter, we assessed protein-protein interaction networks, gene ontology term annotations, and pathway enrichment for DEGs using various prediction and network analysis methods. The predicted miRNAs targeting the co-expressed STEMI- and IS-related DEGs were also evaluated. We identified 210 and 29 DEGs in GSE60993 and GSE16561, respectively. CD8A, TLR2, TLR4, S100A12, and TREM1 were associated with STEMI, while the hubgenes, IL7R, CCR7, FCGR3B, CD79A, and ITK were implicated in IS. In addition, binding of the transcripts of the co-expressed DEGs MMP9, ARG1, CA4, CRISPLD2, S100A12, and GZMK to their corresponding predicted miRNAs, especially miR-654-5p, may be associated with STEMI-related IS. STEMI and IS are related and MMP9, ARG1, CA4, CRISPLD2, S100A12, and GZMK genes may be underlying biomarkers involved in STEMI-related IS.
DOI: 10.1172/jci.insight.131355
发表时间: 2019-10-17
期刊: JCI INSIGHT
影响因子: 8
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发表时间: 2021-03-24
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DOI: 10.1212/wnl.0b013e3181f2b37f
发表时间: 2010-09-14
期刊: NEUROLOGY
影响因子: 9.9
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发表时间: 2009-01-01
期刊: NATURE PROTOCOLS
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