Related Experiment Video

Updated: Jul 13, 2025

Estimating Bilateral Atrial Function by Cardiovascular Magnetic Resonance Feature Tracking in Patients with Paroxysmal Atrial Fibrillation
08:10

Estimating Bilateral Atrial Function by Cardiovascular Magnetic Resonance Feature Tracking in Patients with Paroxysmal Atrial Fibrillation

Published on: July 20, 2022

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

Tetsuo Sasano1, Kensuke Ihara2, Toshihiro Tanaka3,4

  • 1Department of Cardiovascular Medicine, Tokyo Medical and Dental University (TMDU), Tokyo, Japan.

Plos One
|October 12, 2023
PubMed

Insights

Genetic risk scores can help assess atrial fibrillation (AF) risk. Plasma cell-free DNA (cfDNA) levels may predict stroke risk in patients with AF.

Area of Science:

  • Cardiology
  • Genetics
  • Biomarkers

Background:

  • Atrial fibrillation (AF) is a common arrhythmia linked to stroke.
  • Paroxysmal AF (PAF) progression to persistent AF can be difficult to detect before stroke.
  • Identifying individuals at risk for PAF and stroke is crucial.

Purpose of the Study:

  • To evaluate the risk of PAF using genetic analysis.
  • To assess stroke risk through circulating biomarkers.
  • To investigate the association between genetic variations, biomarkers, and AF/stroke.

Main Methods:

  • Analyzed 10 single nucleotide polymorphisms (SNPs) and quantified 4 microRNAs (miRNAs) in 600 subjects (300 PAF, 300 controls).
  • Measured circulating cell-free DNA (cfDNA) levels in plasma.
  • Utilized quantitative RT-PCR for miRNA quantification and genotyping for SNPs.

Main Results:

  • Identified 4 SNPs significantly associated with AF; a genetic risk score showed an AUC of 0.631.
  • No significant differences in circulating miRNAs or cfDNA between PAF and control groups.
  • Elevated plasma cfDNA levels were significantly associated with a history of stroke (AUC 0.950).

Conclusions:

  • A genetic risk score can assess the risk of AF.
  • Plasma cfDNA levels may serve as a potential biomarker for evaluating stroke risk.
Abstract

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