Key result
A serum exosome miRNA SVM model distinguishes AF from AF-associated ischemic stroke with 100% accuracy.
Why the study?
Stroke is the most severe complication of AF, and exosomal miRNAs may serve as biomarkers to distinguish AF patients from those with AF-associated ischemic stroke.
Can serum exosome miRNA profiles distinguish between atrial fibrillation patients with and without associated ischemic stroke?
Case-Control (n=24)
Can serum exosome miRNA profiles distinguish between atrial fibrillation patients with and without associated ischemic stroke?
Serum exosomal miRNAs, specifically miR-641 and miR-30e-5p, show potential as highly accurate biomarkers for distinguishing atrial fibrillation patients with and without ischemic stroke.
Exosomal miRNA profiles may stratify ischemic stroke risk in AF; hypothesis-generating and requires prospective validation before clinical adoption.
INTRODUCTION: Atrial fibrillation (AF) is the most common cardiac arrhythmia in the general population, and stroke is the most severe complication of AF. Exosomal miRNAs have been reported to be candidates as biomarkers for cardiovascular diseases, including AF and stroke. This study aimed to identify differentially expressed miRNAs (DEMs) in serum exosomes of AF and AF-associated ischemic stroke (AF-IS) patients and evaluate their potential in distinguishing AF and AF-IS patients. METHODS: Serum exosomes were isolated from 8 healthy individuals with sinus rhythm (SR controls), 8 AF patients, and 8 AF-IS patients. miRNA-seq was performed to identify DEMs, and qRT-PCR analysis was performed to confirm the sequencing results. A support vector machine (SVM) model was developed using Python to distinguish AF and AF-IS patients. RESULTS: 68 and 86 DEMs were identified in serum exosomes of AF patients compared to AF-IS patients and SR controls, respectively. Levels of miR-641 and miR-30e-5p were found significantly higher in AF-IS patients. The SVM model achieved an accuracy of 100%, with an area under curve of 1. CONCLUSIONS: The results indicated that miRNA expression profiles of serum exosomes in AF patients were distinct from those in AF-IS patients, and based on the distinction, AF and AF-IS patients can be distinguished.
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Xie et al. (2023) conducted a case-control in Atrial Fibrillation and AF-Associated Ischemic Stroke (n=24). Serum exosome miRNA-Seq and SVM model vs. Sinus rhythm controls and AF without stroke was evaluated on Accuracy of SVM model to distinguish AF and AF-IS patients (AUC 1). A support vector machine model based on serum exosome miRNA expression profiles distinguished atrial fibrillation from AF-associated ischemic stroke with 100% accuracy and an AUC of 1.
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