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与心房颤动和并存的糖尿病相关的小细胞外囊泡水平升高和 miR-126 水平降低。

Increased small extracellular vesicle levels and decreased miR-126 levels associated with atrial fibrillation and coexisting diabetes mellitus.

机构信息

Research Department, Siriraj Center of Research Excellence in Microparticles and Exosomes in Disease, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand.

Department of Medicine, Division of Cardiology, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand.

出版信息

Clin Cardiol. 2023 Nov;46(11):1326-1336. doi: 10.1002/clc.24115. Epub 2023 Aug 7.

Abstract

BACKGROUND

Atrial fibrillation (AF) is the most prevalent cardiac arrhythmia. Diabetes mellitus (DM) is one of the risk factors for the development of stroke and thromboembolism in patients with AF. Early identification may reduce the incidence of complications and mortality in AF patients.

HYPOTHESIS

AF patients with DM have different pattern of small extracellular vesicle (sEV) levels and sEV-derived microRNA (miRNA) expression compared with those without DM.

METHODS

We compared sEV levels and sEV-miRNA expression in plasma from AF patients with and without DM using nanoparticle tracking analysis and droplet digital polymerase chain reaction, respectively.

RESULTS

We observed a significant increase in total sEV levels (p = .004) and a significant decrease in sEV-miR-126 level (p = .004) in AF patients with DM. Multivariate logistic regression analysis revealed a positive association between total sEV levels and AF with DM (p = .019), and a negative association between sEV-miR-126 level and AF with DM (p = .031). The combination of clinical data, total sEVs, and sEV-miR-126 level had an area under the curve of 0.968 (p < .0001) for discriminating AF with DM, which was shown to be significantly better than clinical data analysis alone (p = .0368).

CONCLUSIONS

These results suggest that an increased level of total sEV and a decreased sEV-miR-126 level may play a potential role in the pathophysiology and complications of AF with DM, especially endothelial dysfunction, and can be considered as an applied biomarker for distinguishing between AF with and without DM.

摘要

背景

心房颤动(AF)是最常见的心律失常。糖尿病(DM)是 AF 患者发生中风和血栓栓塞的危险因素之一。早期识别可能会降低 AF 患者并发症和死亡率。

假设

与无 DM 的 AF 患者相比,DM 患者的小细胞外囊泡(sEV)水平和 sEV 衍生的 microRNA(miRNA)表达模式不同。

方法

我们分别使用纳米颗粒跟踪分析和液滴数字聚合酶链反应比较了 AF 伴 DM 患者和无 DM 患者血浆中的 sEV 水平和 sEV-miRNA 表达。

结果

我们观察到 DM 患者的总 sEV 水平显著升高(p = .004),sEV-miR-126 水平显著降低(p = .004)。多变量逻辑回归分析显示,总 sEV 水平与 AF 伴 DM 呈正相关(p = .019),sEV-miR-126 水平与 AF 伴 DM 呈负相关(p = .031)。临床数据、总 sEV 和 sEV-miR-126 水平的组合对区分 AF 伴 DM 的曲线下面积为 0.968(p < .0001),明显优于单独的临床数据分析(p = .0368)。

结论

这些结果表明,总 sEV 水平升高和 sEV-miR-126 水平降低可能在 AF 伴 DM 的病理生理学和并发症中发挥潜在作用,特别是内皮功能障碍,可作为区分 AF 伴 DM 和不伴 DM 的应用生物标志物。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/56c3/10642338/76324181ea38/CLC-46-1326-g001.jpg

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