The Diagnostic and Predictive Potential of miR-328 in Atrial Fibrillation: Insights from a Spontaneously Hypertensive Rat Model

Using an atrial fibrillation (AF) model in spontaneously hypertensive rats (SHRs), we aimed to identify circulating miRNAs for AF diagnosis and prediction and to confirm the cardiac origin of these miRNAs. A total of 31 SHRs and 39 Wistar Kyoto (WKY) normotensive controls were randomized into six groups: young, adult, and aging SHR and WKY. Spontaneous AF burden and atrial and circulating levels of 11 miRNAs were quantified. Spontaneous AF was absent in all WKY rats. In the SHRs, AF episodes were observed in two adult animals and in all aging animals (13.6 ± 2.3 episodes/24 h). The atrial levels of five miRNAs were significantly higher in adult and aging SHRs compared to their WKY controls (all <i>p</i> < 0.05). Of these, only the circulating levels of miR-328 were significantly higher in the aging SHRs vs. WKYs (<i>p</i> < 0.0001). Atrial miR-328 levels in the SHRs increased progressively with age (<i>p</i> < 0.001) and correlated with circulating miR-328 levels (r = 0.58; <i>p</i> < 0.01). Among aging SHRs, atrial levels of miR-328 strongly correlated with AF burden (r = 0.79; <i>p</i> < 0.01). These data suggest that the circulating level of miR-328 could emerge as a promising marker for both AF diagnosis and, if assessed dynamically, for AF prediction.

Authors

Institutions

Publication Details

Journal
International Journal of Molecular Sciences
Published
2025-03-26
DOI
https://doi.org/10.3390/ijms26073049
Citations
3
Primary Topic
RNA regulation and disease
Type
article
Field-Weighted Citation Impact
2.42
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Diagnostic and Predictive Potential of miR-328 in Atrial Fibrillation: Insights from a Spontaneously Hypertensive Rat Model

Daniela Păcurar, Marcel Perian, Alkora Ioana Balan, Claudia Bănescu et al.
3 citations
International Journal of Molecular Sciences
RNA regulation and disease
2.42
article

The Diagnostic and Predictive Potential of miR-328 in Atrial Fibrillation: Insights from a Spontaneously Hypertensive Rat Model

Daniela Păcurar, Marcel Perian, Alkora Ioana Balan, Claudia Bănescu, Alina Scridon, Dan Alexandru Cozac, Cosmin Constantin Mutu, Vasile-Bogdan Halațiu, Emilian Comșulea, Ioana Aspru
article en
3 citations

Abstract

Using an atrial fibrillation (AF) model in spontaneously hypertensive rats (SHRs), we aimed to identify circulating miRNAs for AF diagnosis and prediction and to confirm the cardiac origin of these miRNAs. A total of 31 SHRs and 39 Wistar Kyoto (WKY) normotensive controls were randomized into six groups: young, adult, and aging SHR and WKY. Spontaneous AF burden and atrial and circulating levels of 11 miRNAs were quantified. Spontaneous AF was absent in all WKY rats. In the SHRs, AF episodes were observed in two adult animals and in all aging animals (13.6 ± 2.3 episodes/24 h). The atrial levels of five miRNAs were significantly higher in adult and aging SHRs compared to their WKY controls (all <i>p</i> < 0.05). Of these, only the circulating levels of miR-328 were significantly higher in the aging SHRs vs. WKYs (<i>p</i> < 0.0001). Atrial miR-328 levels in the SHRs increased progressively with age (<i>p</i> < 0.001) and correlated with circulating miR-328 levels (r = 0.58; <i>p</i> < 0.01). Among aging SHRs, atrial levels of miR-328 strongly correlated with AF burden (r = 0.79; <i>p</i> < 0.01). These data suggest that the circulating level of miR-328 could emerge as a promising marker for both AF diagnosis and, if assessed dynamically, for AF prediction.

International Journal of Molecular SciencesVol. 26(7)
Universitatea de Medicină, Farmacie, Științe și Tehnologie „George Emil Palade” din Târgu Mureș (RO)
Openalex Percentile: Top 12%
RNA regulation and disease
2.42
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.