Risk stratification of atrial fibrillation and stroke using single nucleotide polymorphism and circulating biomarkers

• Published in: PloS one Vol. 18; no. 10; p. e0292118
• Main Authors: Sasano, Tetsuo, Ihara, Kensuke, Tanaka, Toshihiro, Furukawa, Tetsushi
• Format: Journal Article
• Language: English
• Published: San Francisco Public Library of Science 12.10.2023; Public Library of Science (PLoS)
• Subjects: Analysis; Arrhythmia; Atrial fibrillation; Biological markers; Biology and Life Sciences; Biomarkers; Cardiac arrhythmia; Chromosomes; Congenital diseases; Diagnosis; Disease; Electrocardiography; Ethylenediaminetetraacetic acid; Evaluation; Fibrillation; Genetic analysis; Genetic aspects; Genetic diversity; Genotyping; Health risk assessment; Health risks; Heart failure; Medicine and Health Sciences; MicroRNA; MicroRNAs; miRNA; Nucleotides; Peripheral blood; Plasma; Polymorphism; Risk factors; Scientific equipment and supplies industry; Single nucleotide polymorphisms; Single-nucleotide polymorphism; Statistical significance; Stroke; Stroke (Disease); Thoracic surgery; Japan; United States; Taiwan; United States > US
• ISSN: 1932-6203; 1932-6203
• DOI: 10.1371/journal.pone.0292118

Background Atrial fibrillation (AF) is the most common sustained arrhythmia, and it causes a high rate of complications such as stroke. It is known that AF begins as paroxysmal form and gradually progresses to persistent form, and sometimes it is difficult to identify paroxysmal AF (PAF) before having stroke. The aim of this study is to evaluate the risk of PAF and stroke using genetic analysis and circulating biomarkers. Materials and methods A total of 600 adult subjects were enrolled (300 from PAF and control groups). Peripheral blood was drawn to identify the genetic variation and biomarkers. Ten single nucleotide polymorphisms (SNPs) were analyzed, and circulating cell-free DNA (cfDNA) was measured from plasma. Four microRNAs (miR-99a-5p, miR-192-5p, miR-214-3p, and miR-342-5p) were quantified in serum using quantitative RT-PCR. Results Genotyping identified 4 single nucleotide polymorphisms (SNPs) that were significantly associated with AF (rs6817105, rs3807989, rs10824026, and rs2106261), and the genetic risk score using 4 SNPs showed the area under the curve (AUC) of 0.631. Circulating miRNAs and cfDNA did not show significant differences between PAF and control groups. The concentration of cfDNA was significantly higher in patients with a history of stroke, and the AUC was 0.950 to estimate the association with stroke. Conclusion The risk of AF could be assessed by genetic risk score. Furthermore, the risk of stroke might be evaluated by plasma cfDNA level.