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心房颤动的潜在生物标志物:预防不明原因卒中的契机。

Potential Biological Markers of Atrial Fibrillation: A Chance to Prevent Cryptogenic Stroke.

作者信息

Szegedi István, Szapáry László, Csécsei Péter, Csanádi Zoltán, Csiba László

机构信息

Department of Neurology, Clinical Centre, University of Debrecen, Debrecen, Hungary.

Department of Neurology, Clinical Centre, University of Pécs, Pécs, Hungary.

出版信息

Biomed Res Int. 2017;2017:8153024. doi: 10.1155/2017/8153024. Epub 2017 Jul 13.

Abstract

Stroke affects millions of people all over the world, causing death and disability. The most frequent type of this disease is ischemic stroke, which can be caused by different factors. In approximately 25 percent of cases, no obvious cause can be found. Recent observations have shown that paroxysmal atrial fibrillation could be responsible for a significant number of cryptogenic stroke events. Short- or long-lasting ECG monitoring could help with the diagnosis of transient arrhythmias. Unfortunately, these techniques either are expensive or require good patient compliance. An alternative option is the identification of biological markers that are specific for atrial fibrillation and can be used to predict arrhythmia. In this review, we give a summary of the recent advances in the research of arrhythmia markers. Based on their structure and function, we differentiated four groups of biomarkers: markers of inflammation, markers of fibrosis, markers with hormonal activity, and other markers. In spite of intensive researches, the optimal biological marker is still not available, but there are some promising markers, like NT-proBNP/BNP.

摘要

中风影响着全球数百万人,会导致死亡和残疾。这种疾病最常见的类型是缺血性中风,它可能由不同因素引起。在大约25%的病例中,找不到明显病因。最近的观察表明,阵发性心房颤动可能是大量不明原因中风事件的病因。短期或长期心电图监测有助于诊断短暂性心律失常。不幸的是,这些技术要么昂贵,要么需要患者有良好的依从性。另一种选择是识别心房颤动特有的生物标志物,可用于预测心律失常。在这篇综述中,我们总结了心律失常标志物研究的最新进展。根据其结构和功能,我们区分了四类生物标志物:炎症标志物、纤维化标志物、具有激素活性的标志物和其他标志物。尽管进行了深入研究,但仍未找到最佳生物标志物,但有一些有前景的标志物,如NT-脑钠肽/脑钠肽。

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本文引用的文献

1
Neutrophil-to-Lymphocyte Ratio Predicts Length of Stay and Acute Hospital Cost in Patients with Acute Ischemic Stroke.
J Stroke Cerebrovasc Dis. 2016 Apr;25(4):739-44. doi: 10.1016/j.jstrokecerebrovasdis.2015.11.012. Epub 2016 Jan 13.
2
Neutrophil to lymphocyte ratio and risk of a first episode of stroke in patients with atrial fibrillation: a cohort study.
J Thromb Haemost. 2015 Nov;13(11):1971-9. doi: 10.1111/jth.13006. Epub 2015 Sep 14.
3
The Association of Serum Galectin-3 Levels with Atrial Electrical and Structural Remodeling.
J Cardiovasc Electrophysiol. 2015 Jun;26(6):635-40. doi: 10.1111/jce.12637. Epub 2015 Mar 27.
4
Effects of persistent atrial fibrillation on serum galectin-3 levels.
Am J Cardiol. 2015 Mar 1;115(5):647-51. doi: 10.1016/j.amjcard.2014.12.021. Epub 2014 Dec 18.
5
Association between transforming growth factor β1 and atrial fibrillation in essential hypertensive patients.
Clin Exp Hypertens. 2015;37(1):82-7. doi: 10.3109/10641963.2014.913600. Epub 2014 Dec 12.
6
B-type natriuretic peptide for incident atrial fibrillation-The Heinz Nixdorf Recall Study.
J Cardiol. 2015 Jun;65(6):453-8. doi: 10.1016/j.jjcc.2014.08.003. Epub 2014 Sep 16.
8
Galectin 3 and incident atrial fibrillation in the community.
Am Heart J. 2014 May;167(5):729-34.e1. doi: 10.1016/j.ahj.2014.02.009. Epub 2014 Mar 1.
9
Circulating fibrosis biomarkers and risk of atrial fibrillation: The Cardiovascular Health Study (CHS).
Am Heart J. 2014 May;167(5):723-8.e2. doi: 10.1016/j.ahj.2014.01.010. Epub 2014 Feb 26.

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