Abstract
BackgroundCardiomyopathies represent a rare group of disorders often of genetic origin. While approximately 50% of genetic causes are known for other types of cardiomyopathies, the genetic spectrum of restrictive cardiomyopathy (RCM) is largely unknown. The aim of the present study was to identify the genetic background of idiopathic RCM and to compile the obtained genetic variants to the novel signalling pathways using in silico protein network analysis.Patients and MethodsWe used Illumina MiSeq setup to screen for 108 cardiomyopathy and arrhythmia-associated genes in 24 patients with idiopathic RCM. Pathogenicity of genetic variants was classified according to American College of Medical Genetics and Genomics classification.ResultsPathogenic and likely-pathogenic variants were detected in 13 of 24 patients resulting in an overall genotype-positive rate of 54%. Half of the genotype-positive patients carried a combination of pathogenic, likely-pathogenic variants and variants of unknown significance. The most frequent combination included mutations in sarcomeric and cytoskeletal genes (38%). A bioinformatics approach underlined the mechanotransducing protein networks important for RCM pathogenesis.ConclusionsMultiple gene mutations were detected in half of the RCM cases, with a combination of sarcomeric and cytoskeletal gene mutations being the most common. Mutations of genes encoding sarcomeric, cytoskeletal, and Z-line-associated proteins appear to have a predominant role in the development of RCM.
Highlights
Restrictive cardiomyopathy (RCM) is one of the rarest cardiac disorders with a very poor prognosis, and heart transplantation is the only long-term treatment option [1]
The aim of the present study was to identify the genetic background of idiopathic restrictive cardiomyopathy (RCM) and to compile the obtained genetic variants to the novel signalling pathways using in silico protein network analysis
Multiple gene mutations were detected in half of the RCM cases, with a combination of sarcomeric and cytoskeletal gene mutations being the most common
Summary
Restrictive cardiomyopathy (RCM) is one of the rarest cardiac disorders with a very poor prognosis, and heart transplantation is the only long-term treatment option [1]. Compared to the conventional Sanger sequencing, NGS allows the coverage of a much wider panel of genes including giant genes such as titin, and enables the expansion of analysis to genes associated with cardiac arrhythmias, neuromuscular disorders, and cardiomyopathy phenocopies [14,15]. This approach was successfully applied to unravel the spectrum of genetic causes in patients with HCM and DCM [16,17,18]. The aim of the present study was to identify the genetic background of idiopathic RCM and to compile the obtained genetic variants to the novel signalling pathways using in silico protein network analysis
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