Circulating miR-451a Expression May Predict Recurrence in Atrial Fibrillation Patients after Catheter Pulmonary Vein Ablation.
Ricardo LageMaría Cebro-MárquezMarta E Vilar-SánchezLaila González-MelchorJavier García-SearaJosé Luis Martínez-SandeXesús Alberte Fernández-LópezAlana Aragón-HerreraMaría Amparo Martínez-MonzonísJosé Ramón González JuanateyMoisés Rodríguez-MañeroIsabel MoscosoPublished in: Cells (2023)
Atrial fibrillation is the most prevalent tachyarrhythmia in clinical practice, with very high cardiovascular morbidity and mortality with a high-cost impact in health systems. Currently, it is one of the main causes of stroke and subsequent heart failure and sudden death. miRNAs mediate in several processes involved in cardiovascular disease, including fibrosis and electrical and structural remodeling. Several studies suggest a key role of miRNAs in the course and maintenance of atrial fibrillation. In our study, we aimed to identify the differential expression of circulating miRNAs and their predictive value as biomarkers of recurrence in atrial fibrillation patients undergoing catheter pulmonary vein ablation. To this effect, 42 atrial fibrillation patients were recruited for catheter ablation. We measured the expression of 84 miRNAs in non-recurrent and recurrent groups (45.2%), both in plasma from peripheral and left atrium blood. Expression analysis showed that miRNA-451a is downregulated in recurrent patients. Receiver operating characteristic curve analysis showed that miR-451a in left atrium plasma could predict atrial fibrillation recurrence after pulmonary vein isolation. In addition, atrial fibrillation recurrence is positively associated with the increment of scar percentage. Our data suggest that miRNA-451a expression plays an important role in AF recurrence by controlling fibrosis and progression.
Keyphrases
- atrial fibrillation
- catheter ablation
- left atrial
- left atrial appendage
- heart failure
- oral anticoagulants
- end stage renal disease
- direct oral anticoagulants
- ejection fraction
- cardiovascular disease
- newly diagnosed
- percutaneous coronary intervention
- poor prognosis
- patients undergoing
- chronic kidney disease
- cell proliferation
- peritoneal dialysis
- prognostic factors
- long non coding rna
- clinical practice
- type diabetes
- venous thromboembolism
- coronary artery
- free survival
- coronary artery disease
- blood brain barrier
- deep learning
- binding protein
- metabolic syndrome
- artificial intelligence
- big data
- left ventricular
- acute coronary syndrome
- pulmonary arterial hypertension