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. 2023 Feb 16;12(4):638.
doi: 10.3390/cells12040638.

Circulating miR-451a Expression May Predict Recurrence in Atrial Fibrillation Patients after Catheter Pulmonary Vein Ablation

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Circulating miR-451a Expression May Predict Recurrence in Atrial Fibrillation Patients after Catheter Pulmonary Vein Ablation

Ricardo Lage et al. Cells. .

Abstract

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.

Keywords: atrial fibrillation; biomarker; miR-451a; microRNAs; recurrence; scar percentage.

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Conflict of interest statement

The authors declare no conflict of interest.

Figures

Figure 1
Figure 1
Differential expression of miRNAs in no-recurrence vs. recurrence AF patients (A) plasma from peripheral blood (B) plasma from left atrium blood. Data are presented as mean  ±  S.E.M. * p < 0.05, *** p < 0.001.
Figure 2
Figure 2
Predictive capacity of AF recurrence. Receiver-operating characteristic curves comparing sensitivity and specificity of (A) hsa-let7b and has-miR-328-3p expression in plasma from peripheral blood and (B) has-miR-328-3p, hsa-miR-451a, and has-miR-486-5p expression in plasma from left atrial blood, where hsa-miR-451a expression is predicting recurrence in AF patients.
Figure 3
Figure 3
Association between scar percentage and AF recurrence. (A) Scar percentage in no recurrence and recurrence patients. (B) Receiver-operating characteristic (ROC) curve comparing sensitivity and specificity of recurrence and scar percentage in AF patients. Data are presented as mean ± S.E.M. ** p < 0.01.
Figure 4
Figure 4
Receiver-operating characteristic curve comparing sensitivity and specificity for the binary logistic regression model.
Figure 5
Figure 5
MiRNA-genes-pathways network denoting the relationships between miR-451a, validated target genes (dotted lines), and those related to KEGG pathways (solid lines), created in Cytoscape. Bold genes: belonging to KEGG pathways. Underlined genes: implicated in AF.

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