Mutations in MYBPC3 and MYH7 in Association with Brugada Type 1 ECG Pattern: Overlap between Brugada Syndrome and Hypertrophic Cardiomyopathy?

IF 0.5 Q4 CARDIAC & CARDIOVASCULAR SYSTEMS Cardiogenetics Pub Date : 2021-09-09 DOI:10.3390/cardiogenetics11030016
M. Farnè, C. Balla, A. Margutti, R. Selvatici, M. De Raffele, A. Di Domenico, P. Imbrici, E. De Maria, M. Biffi, M. Bertini, C. Rapezzi, A. Ferlini, F. Gualandi
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引用次数: 4

Abstract

Brugada syndrome (BrS) is an inherited disorder with high allelic and genetic heterogeneity clinically characterized by typical coved-type ST segment elevation at the electrocardiogram (ECG), which may occur either spontaneously or after provocative drug testing. BrS is classically described as an arrhythmic condition occurring in a structurally normal heart and is associated with the risk of ventricular fibrillation and sudden cardiac death (SCD). We studied five patients with spontaneous or drug-induced type 1 ECG pattern, variably associated with symptoms and a positive family history through a Next Generation Sequencing panels approach, which includes genes of both channelopathies and cardiomyopathies. We identified variants in MYBPC3 and in MYH7, hypertrophic cardiomyopathy (HCM) genes (MYBPC3: p.Lys1065Glnfs*12 and c.1458-1G > A, MYH7: p.Arg783His, p.Val1213Met, p.Lys744Thr). Our data propose that Brugada type 1 ECG may be an early electrocardiographic marker of a concealed structural heart disease, possibly enlarging the genotypic overlap between Brugada syndrome and cardiomyopathies.
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MYBPC3和MYH7突变与Brugada 1型心电图模式的相关性:Brugada综合征和肥厚型心肌病之间的重叠?
Brugada综合征(BrS)是一种具有高度等位基因和遗传异质性的遗传性疾病,临床特征为典型的心电图ST段抬高,可能自发发生,也可能在激发性药物测试后发生。BrS通常被描述为一种发生在结构正常心脏中的心律失常,与心室颤动和心源性猝死(SCD)的风险有关。我们通过下一代测序小组方法研究了五名具有自发或药物诱导的1型心电图模式的患者,这些患者与症状和阳性家族史不同,该方法包括通道病和心肌病的基因。我们在MYBPC3和MYH7中发现了肥厚型心肌病(HCM)基因的变体(MYBPC3:p.Lys1065Glnfs*12和c.1458-1G>A,MYH7:p.Arg783His,p.Val1213Met,p.Lys744Thr)。我们的数据表明,Brugada 1型心电图可能是隐蔽性结构性心脏病的早期心电图标志物,可能会扩大Brugada综合征和心肌病之间的基因型重叠。
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来源期刊
Cardiogenetics
Cardiogenetics CARDIAC & CARDIOVASCULAR SYSTEMS-
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发文量
26
审稿时长
11 weeks
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