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不稳定型心绞痛患者的 microRNAs 评估。

Assessment of microRNAs in patients with unstable angina pectoris.

机构信息

Department of General and Interventional Cardiology, University Heart Center Hamburg, Martinistr. 52, 20246 Hamburg, Germany German Center for Cardiovascular Research (DZHK), Partner Site Hamburg, Lübeck, Kiel, Hamburg, Germany.

Department of General and Interventional Cardiology, University Heart Center Hamburg, Martinistr. 52, 20246 Hamburg, Germany German Center for Cardiovascular Research (DZHK), Partner Site Rhein-Main, Mainz, Germany.

出版信息

Eur Heart J. 2014 Aug 14;35(31):2106-14. doi: 10.1093/eurheartj/ehu151. Epub 2014 Apr 11.

Abstract

AIMS

While cardiac troponin measurements have significantly improved the early diagnosis of myocardial infarction, the timely biomarker-based diagnosis of unstable angina pectoris (UAP) remains a major unmet clinical challenge. The aim of this study was to assess levels of circulating microRNAs (miRNAs) as possible novel biomarkers in patients with UAP.

METHODS AND RESULTS

A three-phase approach was conducted, comprising (i) profiling of miRNAs in patients with UAP and controls groups; (ii) replication of significant miRNAs in an independent patient cohort, (iii) validation of a multi-miRNAs panel in a third cohort. Out of 25 miRNAs selected for replication, 8 miRNAs remained significantly associated with UAP. In a validation phase, a miRNA panel including miR-132, miR-150, and miR-186 showed the highest discriminatory power [area under the receiver-operating-characteristic curve (AUC): 0.91; CI: 0.84-0.98].

CONCLUSION

Using a profiling-replication-validation model, we identified eight miRNAs, which may facilitate the diagnosis of UAP.

摘要

目的

虽然心肌钙蛋白检测已极大地提高了心肌梗死的早期诊断水平,但不稳定型心绞痛(UAP)的即时基于生物标志物的诊断仍然是一个重大的临床未满足需求。本研究旨在评估循环 microRNAs(miRNAs)作为 UAP 患者的潜在新型生物标志物的水平。

方法和结果

采用了三阶段方法,包括(i)UAP 患者和对照组的 miRNA 图谱分析;(ii)在独立患者队列中复制有意义的 miRNA;(iii)在第三个队列中验证多 miRNA 面板。在 25 个选择用于复制的 miRNA 中,有 8 个 miRNA 与 UAP 仍然显著相关。在验证阶段,包括 miR-132、miR-150 和 miR-186 的 miRNA 面板显示出最高的判别能力[接受者操作特征曲线下面积(AUC):0.91;CI:0.84-0.98]。

结论

通过使用分析-复制-验证模型,我们鉴定了 8 个 miRNA,它们可能有助于 UAP 的诊断。

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