Szegedi István, Szapáry László, Csécsei Péter, Csanádi Zoltán, Csiba László
Department of Neurology, Clinical Centre, University of Debrecen, Debrecen, Hungary.
Department of Neurology, Clinical Centre, University of Pécs, Pécs, Hungary.
Biomed Res Int. 2017;2017:8153024. doi: 10.1155/2017/8153024. Epub 2017 Jul 13.
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.
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。