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Open AccessEditorial

Molecular Determinants of Cardiac Arrhythmias

Cardiovascular Development Group, Department of Experimental Biology, University of Jaén, 23071 Jaen, Spain
Received: 26 October 2020 / Accepted: 28 October 2020 / Published: 30 October 2020
(This article belongs to the Special Issue Molecular Determinants of Cardiac Arrhythmias)
Cardiac arrhythmias are defined as electrical disorders of the pumping heart, including therein a wide range of physiopathological entities. Cardiac arrhythmias can be secondary to existing structural pathologies such as cardiac hypertrophy, dilated cardiomyopathy and/or valvular heart diseases, or they can be primary in origin, i.e., without previously existing structural defects. According to the cardiac chambers that are primarily affected, electrical disorders can be defined as ventricular or supraventricular. Ventricular arrhythmias comprise the most severely affecting diseases, including herein ventricular fibrillation, catecholaminergic polymorphic ventricular taquicardia (CPVT), short-QT, long-QT and Brugada syndromes, respectively. The prevalence of these arrhythmias is low, with estimates of 1:2000/1:5000 in long QT syndrome [1] and Brugada syndrome [2] while in other ventricular arrhythmias, such as CPVT and short-QT syndrome, no conclusive data have been reported to date [2,3,4,5], but the burden of the impact is enormous since in many cases it results in sudden death. A particular case also affecting the ventricular chambers is arrhythmogenic right ventricular dysplasia (ARVD) in which both structural and electrical remodeling concomitantly co-exist. Importantly, ARVD is also frequently associated with sudden death. Within the supraventricular arrhythmias, the most frequent type is atrial fibrillation, with an estimate incidence of 2–3% in the general population but rising to all 10% in the elderly. The natural course of AF is, in many cases, relatively benign, but the incidence of additional complications such as stroke is substantially high [6].
Over the last decade, our current understanding of the genetic determinants of cardiac arrhythmias has enormously increased. Catecholaminergic polymorphic ventricular taquicardia (CPVT) have been linked to six distinct loci, of which only two correspond to ion channels. Short-QT syndrome has been associated to at least three loci, all of them coding for potassium channels. Long-QT syndrome has been associated to 16 distinct loci [7], most of them linked to ion channels with a functional impact of the regulation of the cardiac action potential, including on the sodium, calcium and potassium ion channels, yet in some cases, the functional implication of the associated genes remains to be determined [8]. Brugada syndrome is also linked to nine distinct loci, all but one involving ion channels [9,10]. The genetics of ARVD is more complex, to date associated to 14 distinct loci, among which most of them correspond to cell–cell contact proteins, while one ion channel is reported and three distinct loci remain to be linked to a specific gene [11,12,13,14,15]. On the other hand, the genetics of ventricular fibrillation remains largely enigmatic with only one gene linked to this cardiac arrhythmia. In line with the findings of ventricular arrhythmias, the genetics of supraventricular arrhythmias, i.e., atrial fibrillation, has also been extensively studied. Currently, 18 distinct loci are linked to familial atrial fibrillation, most of them associated to ion channel mutations, while an increasing number of them have been linked to distinct genetic variants in different chromosomal localizations by using genome-wide association studies [16,17,18].
Surprisingly, although a large number of genetic loci have been linked to several of these cardiac arrhythmias, they only explain a relatively small subset of cases, demonstrating that novel molecular substrates are still be discovered. For example, culprit candidate genes only explained approximately 30–35% of Brugada syndrome cases [9,19] and 20–25% of familial atrial fibrillation [16,17,18].
Furthermore, although our current understanding of the genetic and molecular determinants of cardiac arrhythmias has greatly enlarged in recent decades, a large number of gaps remain to be resolved. Mutations in multiple genes have been linked to cardiac arrhythmias, but the mode of action, in many cases, is scarcely deciphered. Pioneered works were performed in heterologous cell systems but limitations soon arise and thus novel tissue and organ-based models were required to fully understand their physiopathological contribution. The advent of CRISP-CAS9 gene editing is considered to be a highly promising tool to speed on deciphering such roles. In addition, the impairment of complex multiprotein regulatory mechanisms and subcellular trafficking pathways of distinct ion channels can also contribute to cardiac arrhythmias thus opening new fields of research.
GWAS have greatly broadened our current understanding of the genetic substrates leading to cardiac arrhythmias, however, many of the risk variants identified are located in intergenic regions, hampering a direct and clear cause effect between the identified variants, the culprit gene and the electrophysiological underlying defects [20]. The successful identification of key regulatory elements affecting key ion channels and/or transcriptional regulatory factors have been reported [21,22,23] but to date they represent the exception to the rule. In recent years, the discovery of novel non-coding RNAs and their complex and intricate mechanisms of action in multiple biological settings have provided evidence that non-coding RNAs are differentially expressed in different cardiac arrhythmias. Thus, it is plausible that they will constitute new players involved in cardiac arrhythmias broadening thus the genetic and molecular substrates underlying these cardiac physiopathological conditions. In this Special Issue of Hearts, we aim to provide a scientific forum to increase our understanding of the molecular determinants of cardiac arrhythmias.

Funding

This work is supported by grants from the Ministry of Science, Innovation and Universities for the Spanish Government (BFU2015-67131P) and grants-in-aid from the Junta de Andalucía Regional Council (CTS-446).

Conflicts of Interest

The author declares no conflict of interest.

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