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BioMed Research International
Volume 2017 (2017), Article ID 8153024, 10 pages
https://doi.org/10.1155/2017/8153024
Review Article

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

1Department of Neurology, Clinical Centre, University of Debrecen, Debrecen, Hungary
2Department of Neurology, Clinical Centre, University of Pécs, Pécs, Hungary
3Department of Cardiology, Clinical Centre, University of Debrecen, Debrecen, Hungary

Correspondence should be addressed to László Csiba

Received 24 February 2017; Revised 15 May 2017; Accepted 4 June 2017; Published 13 July 2017

Academic Editor: Raffaele Serra

Copyright © 2017 István Szegedi et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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.