Atrial fibrillation (AF), the most common type of cardiac arrhythmia, is thought to be regulated by changes in microRNA (miRNA) expression. However, the evidence for this is inconsistent. The high stability and expression of circulating exosomal miRNAs may allow their use as candidate biomarkers. For the discovery phase, exosomes were isolated from the serum of patients with supraventricular tachycardia (SVT) as the controls (n = 5) and with paroxysmal AF (n = 4) and persistent AF (n = 5) for microarray analysis of miRNAs. Forty-five miRNAs were expressed significantly higher (>1.5-fold) in patients with persistent AF, but not in patients with paroxysmal AF, relative to the levels in patients with SVT control. Notably, expression of 5 miRNAs (miRNA-103a, -107, -320d, -486, and let-7b) was elevated by more than 4.5-fold in patients with persistent AF. For the validation phase, miRNAs were analyzed using quantitative RT-PCR analysis in exosomes from the serum of patients with SVT control (n = 20) and patients with persistent AF (n = 40). These miRNAs and their target genes were involved in atrial function and structure, oxidative stress, and fibrosis pathways. These findings suggest that serum exosomal miRNAs might be used as novel biomarkers to reflect the progression of AF.—Mun, D., Kim, H., Kang, J.-Y., Park, H., Park, H., Lee, S.-H., Yun, N., Joung, B. Expression of miRNAs in circulating exosomes derived from patients with persistent atrial fibrillation. FASEB J. 33, 5979–5989 (2019). www.fasebj.org.
Bibliographical noteFunding Information:
This study was supported by research grants from the Brain Korea21 PLUS Project for Medical Science by the Yonsei University, the Basic Science Research Program through the National Research Foundation of Korea funded by the Ministry of Education, Science and Technology (NRF-2017R1A2B3003303), and the Korean Healthcare Technology Research and Development Project funded by the Ministry of Health and Welfare (HI16C0058). The authors declare no conflicts of interest.
All Science Journal Classification (ASJC) codes
- Molecular Biology