Plasma BIN1 correlates with heart failure and predicts arrhythmia in patients with arrhythmogenic right ventricular cardiomyopathy

血浆BIN1水平与心力衰竭相关,并可预测致心律失常性右室心肌病患者的心律失常。

阅读:1

Abstract

BACKGROUND: Arrhythmogenic right ventricular cardiomyopathy (ARVC) is a disorder involving diseased cardiac muscle. Bridging integrator 1 (BIN1) is a membrane-associated protein important to cardiomyocyte homeostasis and is downregulated in cardiomyopathy. We hypothesized that BIN1 could be released into the circulation and that blood-available BIN1 can provide useful data on the cardiac status of patients whose hearts are failing secondary to ARVC. OBJECTIVE: To determine whether plasma BIN1 levels can be used to measure disease severity in patients with ARVC. METHODS: We performed a retrospective cohort study of 24 patients with ARVC. Plasma BIN1 levels were assessed for their ability to correlate with cardiac functional status and predict ventricular arrhythmias. RESULTS: Mean plasma BIN1 levels were decreased in patients with ARVC with heart failure (15 ± 7 vs 60 ± 17 in patients without heart failure, P <.05; the plasma BIN1 level was 60 ± 10 in non-ARVC normal controls). BIN1 levels correlated inversely with number of previous ventricular arrhythmia (R = -.47; P <.05), and low BIN1 levels correctly classified patients with advanced heart failure or ventricular arrhythmia (receiver operator curve area under the curve of 0.88 ± 0.07). Low BIN1 levels also predicted future ventricular arrhythmias (receiver operator curve area under the curve of 0.89 ± 0.09). In a stratified analysis, BIN1 levels could predict future arrhythmias in patients without severe heart failure (n = 20) with an accuracy of 82%. In the 7 patients with ARVC with serial blood samples, all of whom had evidence of disease progression during follow-up, plasma BIN1 levels decreased significantly (a decrease of 63%; P <.05). CONCLUSIONS: Plasma BIN1 level seems to correlate with cardiac functional status and the presence or absence of sustained ventricular arrhythmias in a small cohort of patients with ARVC and can predict future ventricular arrhythmias.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。