Platelet Gene Expression as a Biomarker Risk Stratification Tool in Acute Myocardial Infarction: A Pilot Investigation

IF 3 Q2 Medicine
D. Calverley, I. Casserly, Qamrul G. Choudhury, T. Phang, B. Gao, J. Messenger, M. Geraci
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引用次数: 5

Abstract

Platelets play a major role in the pathophysiology of acute myocardial infarction (AMI). Recent evidence reveals megakaryocyte-derived platelet pre-mRNA is spliced to mRNA and then translated into functional proteins in response to external stimulation. An exon microarray analyzes pre-mRNA alternative splicing and is thus applicable for studying gene expression in the anucleate platelet. We hypothesized a subset of megakaryocyte/platelet genes exists that are significantly over or underexpressed in AMI compared with stable coronary artery disease (CAD), yielding a gene expression profile for further study. Microarray analysis employing platelet mRNA was used to generate gene expression data in the above two patient groups. Unsupervised hierarchical clustering has revealed an expression profile that includes 95 over- or under-expressed genes depicted in a heat map where separation of both sets takes place. This preliminary study reveals a platelet-based gene expression signature that differentiates between AMI and stable CAD, and further study may yield a prognostic tool for a future AMI event in atherosclerosis risk factor-based subsets of CAD patients.
血小板基因表达作为急性心肌梗死的生物标志物风险分层工具:一项试点研究
血小板在急性心肌梗死(AMI)的病理生理中起着重要作用。最近的证据表明,巨核细胞衍生的血小板前mRNA与mRNA剪接,然后翻译成功能蛋白,以响应外部刺激。外显子微阵列分析前mrna选择性剪接,因此适用于研究无核血小板中的基因表达。我们假设存在一个巨核细胞/血小板基因亚群,与稳定型冠状动脉疾病(CAD)相比,在AMI中显著过表达或过表达,从而产生一个基因表达谱,供进一步研究。采用血小板mRNA微阵列分析生成上述两组患者的基因表达数据。无监督的分层聚类揭示了一种表达谱,其中包括在热图中描述的95个过度表达或表达不足的基因,其中两组分离发生。这项初步研究揭示了一种基于血小板的基因表达特征,可以区分AMI和稳定性CAD,进一步的研究可能会为基于动脉粥样硬化危险因素的CAD患者亚群中未来AMI事件的预后提供工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
3.70
自引率
0.00%
发文量
0
审稿时长
8 weeks
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