Review Article
Cardiac channelopathies: The role of sodium channel mutations
Canalopatias cardíacas: o papel das mutações nos canais de sódio
Diana João Fonseca, , Manuel Joaquim Vaz da Silva
Faculdade de Medicina da Universidade do Porto, Porto, Portugal
Abstract
Introduction and objectives

The importance of sodium channels for the normal electrical activity of the heart is emphasized by the fact that mutations (inherited or de novo) in genes that encode for these channels or their associated proteins cause arrhythmogenic syndromes such as the Brugada syndrome and the long QT syndrome (LQTS). The aim of this study is to conduct a review of the literature on the mutations in the sodium channel complex responsible for heart disease and the implications of a close relationship between genetics and the clinical aspects of the main cardiac channelopathies, namely at the level of diagnosis, risk stratification, prognosis, screening of family members and treatment.

Methods

The online Pubmed® database was used to search for articles published in this field in indexed journals. The MeSH database was used to define the following query: “Mutation [Mesh] AND Sodium Channels [Mesh] AND Heart Diseases [Mesh]”, and articles published in the last 15 years, written in English or Portuguese and referring to research in human beings were included.

Conclusions

In the past few years, significant advances have been made to clarify the genetic and molecular basis of these syndromes. A greater understanding of the underlying pathophysiological mechanisms showed the importance of the relationship between genotype and phenotype and led to progress in the clinical approach to these patients. However, it is still necessary to improve diagnostic capacity, optimize risk stratification, and develop new specific treatments according to the genotype-phenotype binomial.

Resumo
Introdução e objetivos

A importância dos canais de sódio para a normal atividade elétrica do coração é enfatizada pelo facto de as mutações (hereditárias ou de novo) nos genes que codificam esses canais ou as proteínas a esses associadas provocarem síndromes arritmogénicas como a síndrome de Brugada e a síndrome do QT longo. O objetivo deste trabalho é proceder a uma revisão bibliográfica sobre as mutações no complexo dos canais de sódio responsáveis por doença cardíaca e as implicações da relação estrita entre a genética e a clínica das principais canalopatias cardíacas, nomeadamente no nível do diagnóstico, da estratificação do risco, do prognóstico, do rastreio de parentes e terapêutica.

Métodos

Foi usada a base de dados online Pubmed® para pesquisar os artigos publicados nessa área, em revistas indexadas. Recorreu-se à MeSH Database para definir a seguinte query: “Mutation [Mesh] AND Sodium Channels [Mesh] AND Heart Diseases [Mesh]” e incluíram-se artigos publicados nos últimos 15 anos, escritos em inglês ou português e referentes à investigação em humanos.

Conclusões

Nos últimos anos, grandes avanços foram feitos no esclarecimento da base genética e molecular dessas síndromes. A maior compreensão dos mecanismos fisiopatológicos subjacentes demonstrou a importância da relação entre o genótipo e o fenótipo e permitiu efetuar progressos na abordagem clínica desses pacientes. Todavia, é ainda necessário melhorar a capacidade de diagnóstico, aprimorar a estratificação do risco e desenvolver novas terapêuticas específicas de acordo com o binómio genótipo-fenótipo.

Keywords
Mutations, Sodium channels, Heart diseases, Heart arrhythmias, Sudden cardiac death
Palavras-chave
Mutações, Canais de Sódio, Doenças cardíacas, Arritmias cardíacas, Morte súbita cardíaca
List of abbreviations
AF

atrial fibrillation

AP

action potential

BrS

Brugada syndrome

Ca2+

calcium ion

CAV3

caveolin-3

CCD

cardiac conduction disease

CPVT

catecholaminergic polymorphic ventricular tachycardia

DCM

dilated cardiomyopathy

ECG

electrocardiogram

EPS

electrophysiological study

HR

heart rate

ICa

calcium current

IK

potassium current

INa

sodium current

INa late

late, persistent or sustained sodium current

INa peak

peak sodium current

K+

potassium ion

LQTS

long QT syndrome

LQTS1

long QT syndrome type 1

LQTS2

long QT syndrome type 2

LQTS3

long QT syndrome type 3

ms

milliseconds

Na+

sodium ion

NaC

sodium channels

PVS

programmed ventricular stimulation

PVT

polymorphic ventricular tachycardia

QTc

QT interval corrected for heart rate

SCD

sudden cardiac death

SD

sudden death

SNP

single nucleotide polymorphism

SNTA1

syntrophin

SQTS

short QT syndrome

TdP

Torsade de pointes

VF

ventricular fibrillation

VT

ventricular tachycardia

Introduction

Cardiac channelopathies constitute a heterogeneous group of inherited cardiac diseases caused by mutations in genes that encode for the ion channels expressed in the heart (involved in Na+ [INa], K+ [IK] and Ca2+ [ICa] currents) and/or the proteins that regulate their function.1–3 These mutations result in different phenotypes according to the abnormalities induced in the sodium current and in other ion currents, leading to a greater likelihood of occurrence of syncope, seizures and arrhythmias, although most of the time there are no underlying structural heart defects.4 This shows the importance of ion channels, namely sodium channels (NaC), in the genesis and propagation of the action potential (AP), and consequently in heart excitability.2,3,5–7

Induced arrhythmias are potentially fatal, and sudden cardiac death (SCD) frequently constitutes the first manifestation of these diseases.4,8 Sudden death (SD) is one of the most common causes of death due to cardiovascular pathologies and, in the adult Western population, cardiac channelopathies (1-2%) are one of the most frequently diagnosed predisposing pathologies together with cardiomyopathies (10-15%) and coronary disease (75%).9 In reality, some studies show that cardiac channelopathies are responsible for approximately 1/3 of the SD cases in young people with a negative autopsy, and up to 50% of the cases of arrhythmic SCD.10,11

The main hereditary arrhythmias caused by ion channel dysfunctions are Brugada syndrome (BrS), long QT syndrome (LQTS), short QT syndrome (SQTS) and catecholaminergic polymorphic ventricular tachycardia (PVT).4,12 However, their prevalence in the general population is difficult to estimate.11,13–15 In addition to the pathologies mentioned above, pre-excitation syndrome, idiopathic ventricular fibrillation (VF) and rare cases of familial cardiomyopathies are also associated with ion channel mutations.4,12

In the last two decades, the knowledge about the genetic and molecular mechanisms underlying arrhythmias (especially those of hereditary nature – Table 1) has vastly increased, and various mutations and/or genetic variants have been described.16,17

Table 1.

Main genes associated with hereditary arrhythmias.

Pathology  Genes (% of involvement)  Prevalence 
Hereditary arrhythmias in the absence of structural heart defects
Brugada syndrome  SCN5A (20-30%)  1:3300 to 1:10000* 
Long QT syndrome  KCNQ1 (30-35%), KCNH2 (25-30%), SCN5A (5-10%)  1:2500* 
Catecholaminergic polymorphic ventricular tachycardia  RYR2 (60-65%), CASQ2 (<5%)  1:10000* 
Cardiac conduction disease  SCN5A (5%)   
Short QT syndrome  None of the 3 known genes represents >5% of the disease   
Atrial fibrillation  None of the known genes represents >5% of the disease   
Hereditary arrhythmias in the presence of structural heart defects
Right ventricular arrhythmogenic cardiomyopathy/Right ventricular arrhythmogenic dysplasia  PKP2 (25-40%), DSG2 (5-10%), DSP (2-12%), DSC2 (2-7%)   
Dilated cardiomyopathy  TTN (≈25%)   
Hypertrophic cardiomyopathy  MYBPC3 (30-40%), MYH7 (20-30%), TNNT2 (10%), TNNI3 (7%)   

Extracted and adapted from Mizusawa (2016).9, *Imbrici et al. (2016)12 and Ackerman et al. (2011).53

Although many mutations in different ion channels affect the heart's electrical currents, we only cover what concerns sodium currents in this literature review. In particular, we cover the structure of the NaC and their role in heart excitability, mutations in the NaC complex, the associated phenotypes and the implications of the relationship between genetic and clinical aspects at the level of diagnosis, risk stratification, prognosis and treatment, namely of LQTS and BrS.

Methods

A narrative review of the literature covering the topic Cardiac channelopathies: the role of sodium channel mutations was conducted. The online Pubmed® database was used to search for articles published in this field, and the MeSH database was used to select the MeSH terms and to define the following query: “Mutation [Mesh] AND Sodium Channels [Mesh] AND Heart Diseases [Mesh]”.

Applying the predefined inclusion criteria, only articles published in the last 15 years, written in English or in Portuguese, and referring to research in human beings were included. Additionally, the impact factor was taken into consideration.

Other references were also included, some with a publication date prior to 2002, with the aim of widening the relevant content cited in the initially searched articles.

Structure and function of sodium channels

The NaC are transmembrane proteins consisting of an α subunit together with one or two β subunits (Figure 1).2 There are various types of α subunits, which are differentially expressed according to the type of tissue and are encoded by a family of 10 different genes (Table 2).18,19 The main α subunit expressed in the heart is called Nav1.5 (like the sodium channel it is part of) and is encoded by the SCN5A (sodium channel, voltage gated, type V alpha subunit) gene, which includes 28 exons and spans more than 100 kb in chromosome 3p22.18,20

Figure 1.
(0.84MB).

Protein macromolecular complex, α subunits and life cycle of the Nav1.5 sodium channels. (A) The Nav1.5 channel is part of a macromolecular complex interacting with various proteins such as: β subunits, caveolin-3, MOG1, ankyrin, syntrophin and cytoskeleton. Extracted and adapted from Liu et al. (2014)7 and Amin et al. (2010).22(B) The life cycle of Nav1.5 starts in the nucleus, where transcription of the SCN5A gene and the respective regulation by transcription factors (FOXO1, NF-KB and TBX5) occur. However, microRNAs also regulate mRNA levels. In the endoplasmic reticulum proteins are translated and, after appropriate protein folding and assembly, they are transported to the cell membrane (trafficking). Mutations or splicing variants may lead to a misfolded Nav1.5 protein, which may activate the PERK pathway for downregulation of their mRNA levels. PKA, PKC, oxidative stress (ROS) and metabolic states (NADH and NAD+) may modulate channel trafficking. NEDD4 regulates ubiquitin-mediated degradation. Extracted and adapted from Liu et al. (2014).7

CAV3: caveolin-3; FOXO1: forkhead box protein O1; MOG1: Ran guanine nucleotide release factor; NaChIP: Na+-channel-interacting protein; NEDD4: E3 ubiquitin-protein ligase NEDD4; NF-κB: nuclear factor NF-κB; PERK: eukaryotic translation initiation factor 2α-kinase 3; PKA: AMPc-dependent protein kinase (protein kinase A); PKC: protein kinase C; ROS: reactive oxygen species; TBX5: T-box transcription factor TBX5.

Table 2.

Sodium channel α subunits.

Protein  Tissue with major expression  Gene  Chromosome 
Nav1.1  CNS and PNS  SCN1A  2q24 
Nav1.2  CNS and PNS  SCN2A  2q23-24 
Nav1.3  CNS and PNS  SCN3A  2q24 
Nav1.4  Skeletal muscle  SCN4A  17q23-25 
Nav1.5  Heart  SCN5A  3p21 
Nav1.6  CNS and PNS  SCN8A  12q13 
Nav1.7  PNS  SCN9A  2q24 
Nav1.8  PNS  SCN10A  3p21-24 
Nav1.9  PNS  SCN11A  3p21-24 
Nav2.1 (Nax)  Glial cells  SCN6/7A  2q21-23 

CNS: central nervous system; PNS: peripheral nervous system.

Extracted and adapted from England and Groot (2009).19

Regulation of transcription of the SCN5A gene is influenced by many factors, including: presence of three promoters, transcription factors and microRNAs with post-transcriptional activity. More than 10 isoforms resulting from splicing of this gene have been described, and the most abundant isoform in the human heart is SCN5A-003 (adult isoform).7,18,20

The α subunit has about 227 kDa and consists of a transmembrane protein with four homologous domains (DI-DIV) connected by cytoplasmic loops, each of them with six α-helix transmembrane segments (S1-6) connected by intra- and extracellular loops. It also has a C terminus (carboxy) and an N terminus (amino), both being cytoplasmic.5,6,21

The central pore is formed by the four S5 and S6 segments of subunit α, namely by the extracellular loops that connect them. It is selectively permeable to sodium, which travels through it according to the electrochemical gradient. Segments S1 to S4 act as voltage sensors. However, the latter has the peculiarity of having a positive charge.2,5,18,21

Like the other voltage-gated channels, the NaC show conformational changes during a process called gating that enables defining three functional states for the channel (open, inactive or closed), according to membrane potential. These alterations occur in the α subunit, which is the main one responsible for regulation of depolarization of excitable cells membranes.2,18,22

The subunits are proteins of approximately 30-40 kDa, with a single transmembrane segment, an intracellular C terminus and an extracellular N terminus.5 These subunits associate with the α subunit of the NaC (Figure 1), thus not only modulating their expression on the cell surface and the gating process, but also enabling connection with the cytoskeleton and other interaction proteins. In effect, the subunits are capable of increasing the channels traffic to the cell membrane, with subsequent increase in INa.5,18

There are four types of β subunits (β1, β2, β3 and β4), encoded by the SCN1B, SCN2B, SCN3B and SCN4B genes, respectively. These are preferentially associated with different α subunits according to the type of tissue where they are expressed.5,18,20,23

In addition to the β subunits, there are other proteins with the ability to interfere and modulate Nav1.5 function (ankyrin-G, calmodulin, caveolin-3, syntrophin α1, plakophilin-2, Ran guanine nucleotide release factor [MOG1], glycerol-3-phosphate dehydrogenase 1-like [GPD1L], fibroblast growth factor homologous factor 1B [FHF-1B] and Nedd4-like ubiquitin ligases, among others) that integrate a macromolecular complex (Figure 1).5,6,18,20,21,24,25

The role of sodium channels in heart excitability

The heart AP is generated by depolarizing (INa; ICa) and re-polarizing (IK) ion currents.22 NaC play an essential role in AP initiation through the generation of INa, and they are expressed in the membrane of atrial and ventricular cardiomyocytes and in specialized conduction tissue.21–23 However, although their expression is abundant in the bundle of His, bundle branches and Purkinje fibers, their expression is low or absent in the sinus and atrioventricular nodes.6,21

In the ventricular myocardium, during diastole, the transmembrane electrical potential (at rest) is approximately -85 mV, and the NaC are closed. When a stimulus depolarizes the membrane, the S4 segments of the four domains move simultaneously outside, the channel opens and there is Na+ movement to the intracellular medium, according to the electrochemical gradient.5,6,18,22 In addition, INa, the main agent responsible for the rapid AP depolarization phase (phase 0), is thus generated and then rapidly increases until it reaches its peak (INapeak) and decreases milliseconds later.18,23

In NaC inactivation, the loop between domains III and IV (inactivation gate) works as a “lid” and the channels gradually close in about 1 ms.18,26 It should be noted that the NaC undergo various conformational changes that translate into different inactivation states (rapid, intermediate and slow inactivation) which, in turn, have different recovery times.18,22 However, at the end of phase 0, the majority (≈99%) of the NaC are inactivated, precluding ion traffic. They remain like this until the cell membrane is repolarized, when they recover from inactivation and again become available to be activated during phase 4.5,18

Nevertheless, during AP phase 2, a small fraction of the NaC (<1% of the total NaC available) may maintain conductibility for Na+ and reopen, and thus a small INa called late current persists (INalate).5,18,27 Moreover, some channels may reactivate during the repolarization phase (phase 3), when inactivation is not yet completed but the AP enables their reactivation, generating a current called window current.18,22 This current corresponds to less than 1% of the sodium current peak.22 An important role in the ventricular arrhythmogenesis present in certain cardiac pathologies, some of them covered in this review, has been attributed to these two currents.5,18,22,27

Under physiological conditions, the NaC activation and inactivation processes are strictly regulated in order to ensure normal cardiac electrical activity. Anomalies in the NaC cause significant abnormalities in heart electrophysiology and potentiate arrhythmogenesis, which may result from alterations in gating properties or in INa kinetics. These alterations change channel availability, the amplitude of the INapeak or prevent adequate channel inactivation, with maintenance of a persistent INa during the AP plateau. Therefore, the importance of the NaC in heart excitability is emphasized by the occurrence of potentially fatal arrhythmias (e.g., ventricular tachycardia and VF) in the presence of hereditary or acquired dysfunction in these channels.18,21,22

Mutations in sodium channelsMutations in subunit α

In the last few decades, the knowledge about the function of the SNC5A gene at the molecular and electrophysiological level has greatly increased, and various genetic studies show that mutations in this gene are associated with many heart diseases, namely hereditary cardiac arrhythmias.1,5,16,18,21,22,28 In most cases, the pathologies associated with NaC mutations are caused by mutations that alter channel permeability or the gating process.6,21

Mutations in the SCN5A gene leading to dysfunction of the Nav1.5 NaC may be due to gain of function, loss of function or both.7,18

The loss-of-function mutations result in decreased INa and are associated with BrS, sinus node disease (SND), atrial fibrillation (AF), Lev-Lenégre disease and dilated cardiomyopathy (DCM) (Figure 2).7,18 The mechanism most frequently involved is decreased INapeak (Figure 3).7,18,23

Figure 2.
(0.17MB).

Clinical phenotypes associated with mutations in Nav1.5 sodium channels.

Extracted and adapted from Liu et al. (2014).7

Figure 3.
(0.33MB).

Abnormalities in action potential and sodium currents associated with gain- and loss-of-function mutations in Nav1.5 channels. (1A) Gain-of-function mutations are associated with an increase in the duration of the action potential and may trigger arrhythmic events. (1B) Various mechanisms may be associated with gain of function in the sodium current. The most common mechanism is increased late sodium current (abnormally sustained increase of INa during the AP phase 2 with prolonged membrane depolarization and delayed repolarization), which may be due to incomplete or slowed inactivation. Other less common mechanisms are increased window current and increased INa peak (increase in influx of Na+ in AP phase 0). (1C) The mechanism of sodium current increase more frequently results from incomplete inactivation of the sodium channels (green circles). (1D) In the mechanism of window current increase (green circles), inactivation occurs in more positive AP states, “delaying” and broadening the amplitude of voltages during which NaC may be reactivated. (2A) In loss-of-function mutations, decreased peak sodium current decreases the upstroke speed of the AP phase 0, slowing down electrical conduction in the heart.

Extracted and adapted from Amin et al. (2010).22

Gain-of-function mutations result in increased INa and are associated with LQTS3 (Figure 2). There are also some gain-of-function mutations associated with AF and DCM.7,18 The most frequently involved mechanism consists of increased INalate.7,18,23 However, there are other mechanisms such as increased INa peak, decreased inactivation rate or increased window current (Figure 3).18,22

Rarely, the mutations may simultaneously cause reduced INapeak and increased INalate, occurring with loss and gain of function, respectively.7,23

Mutations in β subunits

Mutations in the β1 subunits were identified in patients with BrS, AF and cardiac conduction disease (CCD) (Table 3). The mechanism involved in these phenotypes is believed to occur with a decrease in INa density (loss of function). However, given the limited number of patients with these mutations, the mechanism involved or the genotype-phenotype relationship cannot be completely determined.20,23,25

Table 3.

Mutations in proteins of the sodium channel macromolecular complex.

Gene  Protein  Normal effect on INa  Mutations  Mutation effect  Phenotype 
SCN1Bβ1(↓) INa late  Trp179X  (Ø-) Activation, (Ø-) SSI, (Ø↑) INa peak  BrS, CCD 
(↑) Rec.R  E87Q  (Ø-) Activation, (Ø↑) INa peak  BrS, CCD 
(↑) INa peak  R85H  (+) Activation, SSI, (Ø↑) INa peak  Familial AF 
  D153N  (Ø↑) INa peak  Familial AF 
  R214Q  (Ø↑) INa peak  BrS, Familial AF 
SCN2Bβ2State of sialylation  R28Q  (+) Activation, (↓) INa peak  Familial AF (↑) PR, (↑) RP.ST 
(↑) Late current  R28W  (+) SSI, (+) Activation, (↓) INa peak  Familial AF (↑) PR, (↑) RP.ST 
SCN3Bβ3(↑) INa, (↑)  R6K, L10P and M161T  Mixed, (↓) INa peak, (-) SSI, (↓) Rec.R  Familial AF
BrS 
Rec.R, (+)  A130V  (↓) INa peak  Familial AF 
SSI, (↑)  V54G  (↓) INa peak (↓) Trafficking  Idiopathic VF, ISDS 
Ref.P  V36M  (↓) INa peak (↑) INa late  ISDS 
SCN4Bβ4(↑) Speed of AP upstroke  S206L  (↑) INa late  ISDS 
(+) SSI  L179F  (↑) Window current  LQTS10 
CAV3Caveolin 3Scaffolding, (↓) INa lateF97C, S141R  (↑) INa late  LQTS9 
V14L, T78M and L79R  (↑) INa late  ISDS 
GPD1LGPD1L(↑) INa by phosphorylationA280V  (↓) INa peak  BrS 
E83K, I124V, R273C  (↓) INa peak  ISDS 
RANGRF  MOG1  (↑) Surface density, (↑) INa peak  E83D  (↓) INa peak
(↓) Trafficking 
BrS 
SNTA1Syntrophin α1ScaffoldingA390V  (↑) INa peak, (↑) INa late  LQTS12 
S287R, T372M, G460S  (↑) INa peak, (↑) INa late, (+) SSI  ISDS 

Ø: failure; (↑): increase; (↓): decrease; (+): depolarizing shift; (-): hyperpolarizing shift; AF: atrial fibrillation; BrS: Brugada syndrome; CCD: cardiac conduction disease; ISDS: infant sudden-death syndrome; LQTS: long QT syndrome; Rec.R: recovery rate; Ref.P: refractory period; RP.ST: ST segment in right precordial leads; SSI: steady state inactivation; VF: ventricular fibrillation.

Extracted and adapted from Adsit et al. (2013).23

The prevalence of potentially pathogenic variants of the genes for the β subunits is similar to that of other minor genes involved in BrS.29,30 Indeed, even though in recent years the knowledge of the underlying mechanisms of BrS focuses mainly on the SCN5A gene, the screening of the four β subunits may lead to a potential increase in the genetic diagnosis of the syndrome, up to approximately 5.4%.30

Mutations in the β1 and β2 subunits are associated with AF, and the mechanism consists of alterations in gating and decreased INa.6,31 In 2011, Olesen et al.32 described mutations associated with AF, also in the β3 subunit. These mutations decrease INa, increasing the susceptibility for AF through one of two mechanisms: conduction delay or decrease in the refractory period (promoting the possibility of reentry circuits).32 Moreover, mutations in SCN3B are also associated with BrS (Table 3).8,23

Mutations in β4 subunit have already been described in LQTS10 and confer gain of function, whose most likely mechanism consists of increased INalate.23,25,30,33

Mutations in proteins associated with sodium channels

The NaC are part of a macromolecular complex that includes various proteins that participate in cell adhesion, signal transduction pathways and the cytoskeleton (Figure 1).6,7,11 These proteins are directly or indirectly bound to the NaC and have the ability to modulate their expression, traffic and function.6,19,23 Therefore, their dysfunction contributes to the pathophysiology of the cardiac channelopathies.6,22,23,28

In fact, mutations in several of these proteins are associated with LQTS or BrS (Table 3).5,22,34–36 Caveolin-3 (CAV3) is an important protein in membrane traffic and in the positioning of the ion channels in the sarcoplasmatic membrane, which regulates various ion currents in the heart such as INa. Syntrophin α1 (SNTA1) is a cytoskeleton protein that interacts with the NaC (Figure 1). Gain-of-function mutations described in CAV3 are associated with LQTS9, whereas those described for SNTA1 are associated with a phenotype similar to LQTS3.6,15,22,28,37 On the other hand, mutations in ankyrin-B, whose function is to bind membrane proteins to cytoskeleton structures (Figure 1), are associated with LQTS4 and AF, among others.15

Mutations in the GPD1L gene, which encodes the glycerol-3-phosphate dehydrogenase 1-like protein, or in the MOG1 gene, which encodes a molecule that affects protein traffic, have already been described in BrS.6,15,23,25 In addition, mutations in plakophilin-2, a desmosomal protein, may decrease INa and therefore lead to a phenotype similar to BrS.15,38,39

“Cardiac” phenotypes associated with dysfunction in sodium channels and interacting proteins

The numerous “cardiac” phenotypes associated with mutations in the genes encoding for the NaC and the proteins that make up its macromolecular complex are described in Table 4. The most prevalent cardiac channelopathies are LQTS (1:2500) and BrS (1:3300 to 1:10000), which are partially associated with NaC dysfunction.12 Therefore, we will now cover only these two entities.

Table 4.

“Cardiac” phenotypes associated with dysfunction of sodium channels and related proteins.

Gene  Protein  Abnormalities in INa  “Cardiac” phenotype 
Sodium channel
SCN5ANav1.5(↓) INa by different mechanisms  Type 1 BrS 
(↑) INa late  Type 3 LQTS 
(↓) INa by different mechanisms  CCD 
(↓) INa by different mechanisms  Lev-Lenégre disease 
(↓) INa by different mechanisms  Congenital AV block 
(↓) INa  SND 
(↓) INa  Atrial standstill 
Different and mismatched molecular phenotypes  AF 
Different and mismatched molecular phenotypes  DCM 
(↑) INa late/(↓) INa  ISDS 
Combination of molecular phenotypes present in other clinical entities  Overlap Syndrome 
Proteins of sodium channel macromolecular complex
SCN1BSubunit β1(↓) INa peak  Type 5 BrS 
(↓) INa peak  CCD 
(↓) INa peak  AF 
SCN2B  Subunit β2  (↓) INa peak  AF 
SCN3BSubunit β3(↓) INa peak  Type 7 BrS 
(↓) INa peak  AF 
(↓) INa peak  CCD 
(↓) INa peak/(↑) INa late  ISDS 
(↓) INa peak  Idiopathic VF 
SCN4BSubunit β4(↑) INa late  Type 10 LQTS 
(↑) INa late  ISDS 
SNTASyntrophin α1(↑) INa late/(↑) INapeak  Type 12 LQTS 
(↑) INa late/(↑) INapeak  ISDS 
RANGRF  MOG1  (↓) INa peak  Type 8 BrS 
CAV3Caveolin-3(↑) INa late  Type 9 LQTS 
(↑) INa late  ISDS 
GPD1LGlycerol-3-phosphate dehydrogenase 1-like(↓) INa peak  Type 2 BrS 
(↓) INa peak  ISDS 
PTPH1  Tyrosine phosphatase H1    – 
NEDD4L  Nedd4-2/Nedd4-like    – 
CALM  Calmodulin    – 
CAMK2D  Calcium/Calmodulin-dependent protein kinase II delta    – 
SAP97  SAP97    – 
YWHAH  14-3-3-a    – 
FGF13  FGF13    – 
ANK3  Ankyrin-G    – 
ACTN2  Actinin α2    – 
PKP2  Plakophilin-2    Arrhythmogenic cardiomyopathy 
DSG2  Desmoglein-2    Arrhythmogenic cardiomyopathy 
TCAP  Telethonin    – 
ZASP  Z band    – 

AF: atrial fibrillation; AV: atrioventricular; BrS: Brugada syndrome; CCD: cardiac conduction disease; DCM: dilated cardiomyopathy; ISDS: infant sudden death syndrome; LQTS: long QT syndrome; SND: sinus node disease.

Extracted and adapted from Wilde and Brugada (2011),5 Remme (2013),6 Abriel (2010)15 and Adsit et al. (2013).23

Brugada syndrome

BrS was first described in 1992 as a syndrome characterized by a typical electrocardiographic pattern, absence of structural heart anomalies and family history of SD. Since then, progress has been made in understanding its pathophysiology and in identifying its genetic basis.1,40,41

BrS is a rare hereditary syndrome with an estimated prevalence of 1/3300 to 1/10000, and ethnic and geographic differences have already been described.12,14,42 It affects relatively young adults (<40 years old), more frequently males, with a family history of SD in 20-50% of the cases.21,43,44 Moreover, it is estimated that BrS is responsible for at least 4% of all SD cases and for at least 20% of all SD cases in individuals without structural heart abnormalities.8,45

The absence of structural heart anomalies was classically a characteristic of BrS.41 However, mild structural anomalies in the right and left ventricles have been described in various studies.46

Most individuals are asymptomatic at the time of diagnosis, which is made following a routine ECG in approximately 58% of cases or as a result of family screening in approximately 37% of cases.44 However, SCD may be the first sign of the disease since these individuals are at increased risk for developing tachyarrhythmias, namely PVT and VF.22,47

It is estimated that the rate of arrhythmia events per year in symptomatic individuals is about 0.5%, occurring more frequently at rest and while sleeping, but also in the presence of fever or after a heavy meal.1,44,48 In fact, fever is one of the factors that may cause or exacerbate the electrocardiographic pattern of BrS, triggering potentially fatal arrhythmias in about 27% of cases.21,49

Diagnosis is made using clinical criteria, presence of a typical pattern of electrocardiographic abnormalities and exclusion of other etiologies that may mimic BrS, namely because they trigger ST-segment elevation (Figure 4).45,50,51 Provocation tests with NaC-blocking agents (Table 5) may be performed to provoke the electrocardiographic abnormalities seen in BrS (Figure 5), which enables diagnosing those individuals with transient electrocardiographic pattern.14,41,45,52 In these cases, Holter may also be used and, through prolonged monitoring, it may enable diagnosing intermittent abnormalities.1

Figure 4.
(0.61MB).

Diagnostic algorithm for Brugada syndrome. There are three patterns of electrocardiographic abnormalities in the right precordial leads (V1-V3). Type 1 is considered to be diagnostic, unlike types 2 and 3 (in presence of which provocation tests with SCB must be performed). Other electrocardiographic abnormalities that may be present in BrS are: prolongation of the PR interval and right branch block. A definitive diagnosis is made in presence of type 1 ST-segment elevation in at least one V1-V3 lead and when one of the clinical criteria presented in the figure is met. AMI: acute myocardial infarction; ANS: autonomic nervous system; C/ARVD: cardiomyopathy/arrhythmogenic right ventricular dysplasia; CCB: calcium channel blockers; CNS: central nervous system; ECG: electrocardiogram; LVH: left ventricular hypertrophy; PTE: pulmonary thromboembolism; RV: right ventricle; RVOT: right ventricular outflow tract; SCB: sodium channel blockers; SSRIs: selective serotonin reuptake inhibitors; VF: ventricular fibrillation; VT: ventricular tachycardia; β-blockers: beta blockers. *May unmask genetic susceptibility to BrS.

Extracted and adapted from Berne and Brugada (2012).51

Table 5.

Drugs used in provocation tests to “unmask” Brugada syndrome.

Drug  Dose and duration  Route of administration 
Ajmaline  1 mg/kg for 5 minutes  IV 
Flecainide  2 mg/kg for 10 minutes  IV 
  400 mg  PO 
Pilsicainide  1 mg/kg for 10 minutes  IV 
Procainamide  10 mg/kg for 10 minutes  IV 

IV: intravenous; PO: per os.

Extracted and adapted from Antzelevitch et al. (2005).45

Figure 5.
(0.58MB).

Electrocardiographic patterns in BrS: spontaneous (1) and after provocation test with ajmaline (2).

Genetic tests (broad or specific for the SCN5A gene) may also be useful for diagnosis in any case where there is strong clinical suspicion of BrS according to the family and medical history and the ECG.53 It should be noted that after identifying a pathogenic mutation in a BrS case index, specific genetic screening of family members is indicated.53,54

BrS presents high genetic complexity and there are various genes that may be mutated in this syndrome, although only a few are associated with abnormalities in INa (Table 6).43,54,55 As of today, more than 300 mutations reducing INa amplitude through different mechanisms have been described.16,43,54,56 The mutations occur more frequently in the SCN5A gene, and usually occur in transmembrane segments S1-S4 and in the segments involved in pore formation (S5-S6).16,55 However, only a few (approximately 10-30%) of the total number of individuals diagnosed with BrS are positive for a mutation in this gene.21,43,56–58 Other genes (Table 6) are involved in fewer than 5% of the cases.55

Table 6.

Mutated genes in Brugada syndrome.

Phenotype  Gene  Locus  Protein  Effect on function  Inheritance  Frequency 
Sodium channels and associated proteins
BrS1  SCN5A  3p21  Nav1.5  (-)  AD  11-28% 
BrS18  SCN10A  3p22.2  Nav1.8  (-)  AD  5.0-16.7% 
BrS5  SCN1B  19q13.12  Subunit β1  (-)  AD  1.1% 
BrS17  SCN2B  11q23.3  Subunit β2  (-)  AD  <1% 
BrS7  SCN3B  11q24.1  Subunit β3  (-)  AD  <1% 
BrS2  GPD1L  3p22.3  Glycerol-3-phosphate dehydrogenase 1-like  (-)  AD  <1% 
BrS11  RANGRF  17p13.1  MOG1  (-)  AD  <1% 
BrS15  SLMAP  3p14.3  Protein associated with sarcolemma  (-)  AD  <1% 
BrS20  PKP2  12p11  Plakophilin 2  INa deficit#  AD  <1% 
BrS19  HEY2  6q22  Nav1.5  (-)     
Calcium channels
BrS3  CACNA1C  12p13.33  α1c subunit of voltage-gated L-type calcium channel (Cav1.2)  (-)  AD  6.6% 
BrS4  CACNB2B  10p12.33-p12.31  β2 subunit of voltage-gated L-type calcium channel (Cav β2)  (-)  AD  4.8% 
BrS10  CACNA2D1  7q21.11  α2/δ1 subunits of voltage-gated calcium channel (Cavα2δ1)  (-)  AD  1.8% 
BrS16  TRPM4  19q13.33  Transient receptor potential cation channel subfamily M member 4”  (-)  AD  <1% 
Potassium channels
BrS13  KCND3  1p13.2  Voltage-gated potassium channel subfamily D member 3  (+)  AD  <1% 
BrS6  KCNE3  11q13.4  Voltage-gated potassium channel subfamily E member 3  (+)  AD  <1% 
BrS9  KCNJ8  12p12.1  Inward rectifier potassium channel 8 sensitive to ATP  (+)  AD  2% 
BrS14  HCN4  15q24.1  Potassium/sodium hyperpolarization-activated cyclic nucleotide-gated channel 4”  (+)  AD  <1% 
BrS12  KCNE5  Xq22.3  Voltage-gated potassium channel subfamily E “regulatory β” subunit 5  (+)  X-linked  <1% 
BrS8  KCNH2  7q35  Kv11.1, IKr  (+)    1-2% 
BrS21  ABCC9  12p12.1  SUR2A (subunit 2A of the sulfonylurea receptor), IK-ATP  (+)    4-5% 

AD: autosomal dominant.

#

Plakophilin causes INa deficit.

Extracted and adapted from Sarquella-Brugada-et al. (2016),8 Sieira et al. (2016)54 and Juang and Horie (2016).60

In fact, only 30-35% of the individuals with a clinical diagnosis have a genetic diagnosis as well (positive genotype).8 Therefore, the majority of the individuals affected (approximately 65%) remains genetically undetermined (negative genotype) and for this reason identifying new susceptibility genes for BrS is necessary.16,56,59

Recently, the SCN10A gene was identified as a susceptibility gene for BrS, although its real prevalence has yet to be determined.56,60 The expression level and function of the Nav1.8 NaC in the heart are still controversial. However, a study published in 2014 shows that the variants of this gene influence the duration of the PR and QRS interval, heart rate (HR) and also the risk of arrhythmias.56

A few recessive forms with homozygous or compound heterozygous mutations have been described, but most of the known pathogenic mutations in the SCN5A gene present an autosomal dominant transmission pattern with variable, and frequently incomplete, penetrance.18,43,45

The mechanism most frequently implicated is decreased INapeak due to mutations in the SCN5A gene (loss of function) and consequent slowing of cardiac conduction (Figure 3).7,18,60,61 Nevertheless, there are many hypotheses for the pathophysiological mechanisms of BrS that involve depolarization and repolarization abnormalities; however, the latter are not covered in this article.40,51,54

The genotype of individuals with BrS does not currently carry relevant implications for prognosis or treatment (Table 7).9 Nonetheless, its influence in the risk of arrhythmia and in prognosis is still under debate.54 In reality, genetic data may constitute a complementary tool for risk stratification.43,61 Nonsense mutations, which result in truncated proteins, have been associated with a poorer prognosis compared with other types of mutations with less marked repercussions in NaC function.40,43,59,61 A retrospective study published in 2009 shows that the phenotype is more severe in individuals with mutations associated with more significant INa reductions compared with individuals with mutations associated with lower reductions.61 The same is seen when the mutation is located in a transmembrane region of the NaC.61 Another study published in 2013 shows that different mutations in the SCN5A gene have a different impact on INa, emphasizing the role of mutation characterization in the risk assessment for nonaffected family members.62 However, it is still not clear to what extent different mutations confer a risk for arrhythmia events or SCD, thus the risk is currently stratified only with clinical parameters.53,54

Table 7.

Recommendations for the treatment of Brugada syndrome.

General measures for lifestyle alterations
Avoid drugs that may induce or worsen ST segment elevation in RPCld  (Class I) 
Avoid excessive alcohol consumption  (Class I) 
In presence of fever, promptly medicate with antipyretic drug  (Class Ia) 
Risk stratification and specific treatment
Symptomatic individualsaAsymptomatic individuals
“aborted” SCD  ICD
(Class I) 
Spontaneous type 1 electrocardiogram (ECG) pattern  Quinidine
(Class IIb) 
Documented spontaneous VT, with or without syncope  ICD
(Class I) 
Spontaneous type 1 ECG pattern + VT/VF induced by EPSICD
(Class IIb)
Syncope + Spontaneous type 1 ECG pattern  ICD
(Class IIa) 
Electrical/arrhythmic stormbIsoprenalinec (Class IIa)  Type 1 ECG pattern induced by drugs and family history of SCDICD
(Class III)
Quinidined
(Class IIa) 
Individuals who are eligible for ICD but present a contraindication or refuse ICD and/or present with a history of supraventricular arrhythmias that require treatmentQuinidine
(Class IIa) 
Individuals diagnosed with BrS and history of electrical/arrhythmic storms or (appropriate) repetition shocks due to ICDCatheter ablation – RF
(Class IIb) 

BrS: Brugada syndrome; ICD: implantable cardioverter defibrillator; RF: radiofrequency; RPCld: right precordial leads; SCD: sudden cardiac death; VF: ventricular fibrillation; VT: ventricular tachycardia.

a

The clinical manifestations associated with BrS may include ventricular fibrillation, “aborted” sudden death, syncope, palpitations, chest discomfort and nocturnal agonal breathing.

b

Defined as more than 2 VT/VF episodes in 24 hours.

c

May be useful to suppress electrical/arrhythmic storms.

d

May be useful in individuals diagnosed with BrS and history of electrical/arrhythmic storms.

Adapted from Priori et al. (2013)46 and Steinfurt et al. (2015).64

The only treatment available proven capable of preventing SCD in patients with BrS was the implementation of an implantable cardioverter defibrillator (ICD).1,9,44,46 This procedure, however, results in a considerable risk of complications, which occur in approximately 9% of patients/year and, although rarely life-threatening, they are psychologically harmful.9,54 Therefore, a careful assessment of risks (namely the risk of arrhythmia) and benefits is a key process in this decision.44,54

A 2003 study that included 547 individuals diagnosed with BrS, showing a diagnostic electrocardiographic pattern but no prior “aborted” SCD, was conducted with the aim of assessing the prognostic value of clinical, electrocardiographic and electrophysiological variables. The authors observed that the group with lower risk (incidence of events: 0.5%) is characterized by absence of syncope episodes, an electrocardiographic pattern only triggered by antiarrhythmics and absence of arrhythmia during programmed ventricular stimulation (PVS). However, the group with higher risk (incidence of events: 27.2%) is characterized by prior history of syncope episodes, spontaneously abnormal ECG and presence of arrhythmias induced by PVS. Moreover, individuals with inducibility of arrhythmias in PVS have a six-fold higher risk of SCD or VF during the subsequent two years than those who do not have it.63

Although some are controversial, there are many risk factors for arrhythmia events, and among them, symptoms are one of the most important.42,46,54,64 In fact, individuals diagnosed after an “aborted” SCD are at the highest risk, and in approximately 60% of these cases there is a new event 10 years after the diagnosis.54 Individuals with syncope episodes have a rate of arrhythmia events of 1.9%/year, and the simultaneous presence of a type 1 electrocardiographic pattern is associated with a poor prognosis.46,54 Additionally there are other electrocardiographic parameters that are associated with a poorer prognosis, for example, presence of QRS-interval fragmentation in the ECG, identified in 30-40% of the patients.54

Long QT syndrome

Congenital LQTS is an arrhythmia syndrome with a genetic/hereditary etiology and incomplete penetrance, whose prevalence in Caucasians is approximately 1:2500, a value much higher than what was previously expected.12,13,65 It represents a heterogeneous group of diseases and, classically, it is divided into two variants: Romano-Ward syndrome and Jervell and Lange-Nielsen syndrome (Table 8).1,43,65

Table 8.

Subtypes of congenital LQTS.

Name  Gene  Protein  Current  Effect on function  Frequency 
Autosomal dominant inheritance (Romano-Ward)
LQTS1  KCNQ1  KV7.1  IKs  (-)  40-55% 
LQTS2  KCNH2  KV11.1  IKr  (-)  30-45% 
LQTS3  SCN5A  NaV1.5  INa  (+)  5-10% 
LQTS4  ANKB  Ankyrin B  NCX exchanger, ATPase Na+/K+  (-)  Rare 
LQTS5  KCNE1a  MinK  IKs  (-)  Rare 
LQTS6  KCNE2  MiRP1  IKr  (-)  Rare 
LQTS7 (ATS)  KCNJ2  Kir2.1  IKl  (-)  Rare 
LQTS8 (TS)  CACNA1C  CaV1.2α1  ICa,L  (+)  Rare 
LQTS9  CAV3  Caveolin-3  INa  (+)  Rare 
LQTS10  SCN4B  Subunit β4  INa  (+)  Very rare 
LQTS11  AKAP9  Yotiao  IKs  (-)  Very rare 
LQTS12  SNTA1  Syntrophin-α1  INa  (+)  Very rare 
LQTS13  KCNJ5  Kir 3.4  IK-Ach  (-)  Very rare 
LQTS14  CALM1  Calmodulin 1  Reduction of affinity for Ca2+**    Rare 
LQTS15  CALM2  Calmodulin 2  Reduction of affinity for Ca2+**    Rare 
Autosomal recessive inheritance (Jervell and Lange-Nielsen)
JLN1  KCNQ1  KV7.1  IKs  (-)  Rare 
JLN2  KCNE1a  MinK  IKs  (-)  Rare 

(-): loss of function; (+): gain of function; ATS: Andersen-Tawil syndrome; ICa,L: Ca2+ currents through voltage-gated type-L calcium channels; IK-Ach: K+ current regulated by acetylcholine receptors; IKl: K+ entry current, rectifying; IKr: rapid component (internal rectification – K+ channels are open when potential is negative and closed when potential is less negative or positive) of the K+ “delayed rectifier” current (IKr); IKs: slow component of the K+ “delayed rectifier” current (IKr); INa: voltage-gated Na+ current; NCX: Na+/Ca2+ exchanger; TS: Timothy syndrome.

a

Mutations in the KCNE1 gene may cause Romano-Ward syndrome (autosomal dominant; LQTS5) or, if homozygous or compound heterozygous, Jervell and Lange-Nielsen syndrome (autosomal recessive).

**

Calmodulin dysfunction may alter the inactivation of Ca2+-gated L-type Ca2+ channels (increasing the depolarizing current during phase 2 of the action potential), but some calmodulin mutations may also be associated with an abnormality in the regulation of sodium channels.

Extracted and adapted from Nakano and Shimizu (2016),34 **Makita et al. (2014)36 and *Mizusawa (2014).69

In 1995 and 1996, the three main genes conferring susceptibility to LQTS were identified: KCNQ1, KCNH2 and SCN5A.66–68 These genes constitute about 75% of the clinically defined LQTS and the remainder collectively represents only 5% of these cases.43,69 It should be noted that LQTS is associated with abnormalities in sodium currents only for types 3, 9, 10 and 12.22,69

LQTS is characterized by a delay in ventricular repolarization, which translates echocardiographically as QT interval prolongation (Figure 6).22,65 The duration of the QT interval depends on NaC inactivation, the alteration of which may trigger arrhythmias.26

Mutations in the SCN5A gene associated with LQTS3 (gain of function) usually affect NaC inactivation, which is slower, unstable or incomplete.6,18,22,26 Consequently, there is an increase in INalate with prolongation of membrane depolarization and delay in repolarization.18,26,65,70 Other mechanisms potentially involved are: increased window current, slower inactivation and increased INapeak (Figure 3).6,18,22

The first mutation associated with LQTS3 is found in the loop between domains III and IV, corresponding to the inactivation gate.26 Since then, multiple mutations causing abnormalities in inactivation have been identified and functionally characterized. They may be located at different sites in the NaC structure, namely in the C terminus, to which a relevant function in this process has been attributed.22,26

Congenital LQTS occurs mainly in young, healthy individuals without concomitant structural heart abnormalities and is associated with an increased risk of syncope and potentially fatal heart arrhythmias such as Torsade de Pointes (TdP), which degenerates into VF and causes cardiac arrest.6,18,66 In LQTS3 (unlike LQTS1 and LQTS2 – Figure 6), arrhythmias usually occur at rest, particularly while sleeping (low HR).6,22,43,70 It should be noted that INalate is higher with slower stimulation frequencies, suggesting that the intensity of this current may be a strong factor in determining the occurrence of arrhythmias.22

The first cardiac event (more frequently syncope) usually occurs in adolescents (16±10 years old in LQTS3) and earlier among males.9,71 However, in approximately 5-10% of cases, SCD is the initial event of the disease and, actually, LQTS is one of the main causes of SCD with negative autopsy.10,72

Diagnosis is mainly based on medical history and ECG (Figures 6 and 7).65,70 In ECGs, the QT interval is the most relevant parameter (Table 9), and is measured from the beginning of the QRS complex to the end of the T wave in the DII and V5 or V6 leads.65,73 The longest value is used, generally corrected for HR (QTc) with the Bazett formula (despite its limitations for particularly rapid or slow HR).1,46,65,73

Figure 6.
(0.78MB).

Long QT syndrome – main characteristics and diagnostic criteria. (B) Scoring system used in the diagnosis of LQTS based on the findings in the electrocardiogram, medical history (symptoms) and family history. QTc is calculated using the Bazett formula. Scoring: ≤1 – low likelihood of LQTS; 1.5 to 3 – intermediate likelihood of LQTS; ≥3.5 – high likelihood of LQTS. LQTS is diagnosed in individuals with a score ≥3.5 in whom there are no secondary causes for QT interval prolongation.

♂: male individuals; ♀: female individuals; HR: heart rate.

#Mutually exclusive. ??Both cannot be accounted for in the same family.

**HR at rest below the 2nd percentile for age.

***The low risk associated with exercise in LQTS2 and LQTS3 patients is explained by the fact that both have a normal IK current, stimulated by activation of the sympathetic nervous system, which in turn results in shortening of the ventricular repolarization whenever the heart rate increases, thus avoiding the likelihood of ventricular tachyarrhythmias during exercise.

(A) Extracted and adapted from Furst and Aziz (2016)75 and *Schwartz et al. (2001)74; (B) Extracted and adapted from Schwartz et al. (2013)43; (C) and (D) Extracted and adapted from Giudicessi and Ackerman (2013).70

Figure 7.
(0.85MB).

Diagnostic approach, risk stratification and guidance for the treatment of long QT syndrome.

USV: undetermined significance variant. Extracted and adapted from Giudessi and Ackerman (2013).70

Table 9.

Assessment of the QT interval.

1 – Method for correction of QT interval (formulas)
Bazett  QT/RR1/2 
Fridericia  QT/RR1/3 
Framingham  QT + 0.154 (1 - RR) 
Hodges  QT + 1.75 (HR - 60) 
2 – Normal, borderline and prolonged QTc values calculated with the Bazett formula
  Normal  Borderline  Prolonged 
1-15 years  <440 ms  440-460 ms  >460 ms 
Adult (♂)  <430 ms  430-450 ms  >450 ms 
Adult (♀)  <450 ms  450-470 ms  >470 ms 

♂: male; ♀: female; HR: heart rate; RR: RR interval.

Extracted and adapted from Goldenberg et al. (2006).73

Additionally, secondary causes for QT interval prolongation (acquired LQTS) must be ruled out, for example: drugs, myocardial ischemia, cardiomyopathy, hypokalemia, hypomagnesemia and hypothermia, among others.46,65 Once ruled out, the presence of a repetition of a QTc value ≥500 ms (or 480-499 ms if conducted after an unexplained syncope episode) in an electrocardiogram is considered to be diagnostic.43,46 However, LQTS types 1, 2 and 3 may occur with normal QTc in the ECG at rest in 36%, 19% and 10% of cases, respectively.69

A scoring system considering various clinical and electrocardiographic parameters was created for diagnosis and provides the likelihood for LQTS (Figure 6).43,46,70 In addition, Holter monitoring and the ECG obtained during an effort test or after adrenaline infusion may be useful in some particular cases.1,46,53,65,69

Once the diagnosis is made or given the occurrence of unexplained SD in a young individual, first-degree family members must be screened for LQTS.1,65,72 However, LQTS cannot be ruled out in family members with a normal ECG.43 In fact, after identifying a pathogenic mutation in an index case, family members should undergo a genetic test specific for the mutation in question, with the aim of identifying individuals with a normal QT interval.43,53 This is important given the risk of arrhythmias, which is estimated to occur in 10% of asymptomatic carriers.1

Moreover, genetic tests specific for LQTS (broad or specific for the three main genes) are recommended for any patient when there is a strong clinical suspicion of LQTS (based on the medical and family history and the ECG), or for any asymptomatic patient with QT interval prolongation in the absence of other clinical conditions that may prolong this interval.53 In reality, genetic tests play an important role, not only in the diagnosis of LQTS (namely of asymptomatic carriers) and in ruling out disease for first-degree family members, but also in risk stratification, prognosis and treatment (according to the genotype – Figure 7).1,43,69,70,72

Risk stratification takes into account phenotype and genotype and is conducted for all patients with regular clinical assessments (Figure 7).46,65,70 Risk varies according to genotype and, additionally, in the most common genetic types, it is influenced by the specific type and location of the mutations, as well as by the degree of dysfunction that they cause.43,46

Priori et al. (2003)71 followed up 647 individuals with mutations in the genes for LQTS types 1, 2 and 3, for an average period of 28 years. The authors found that 42% of the individuals with LQTS3 developed a first cardiac event (occurrence of syncope, cardiac arrest or SCD) before turning 40 years old and before starting treatment. The incidence of cardiac arrest or SCD in patients with LQTS3 was about 16%, and men presented with symptoms earlier than women. However, given the small study sample, no conclusions could be reached about this finding. Additionally, the authors found that the QTc interval of patients with cardiac events was significantly longer than that of asymptomatic patients (LQTS3 subgroup: 523±55 ms vs. 481±38 ms, p=0.003). They also concluded that only a QTc value higher than 498 ms is associated with a markedly increased likelihood of cardiac events. However, the percentage of individuals in the LQTS3 subgroup with a normal QT interval and carrying a silent mutation was 10%.71

The result of the genetic tests is also important in the treatment and counseling of affected individuals and family members (Figure 7; Table 10).9,43 It should be noted, for example, that LQTS1 involves higher risk during physical activity compared with LQTS2 and LQTS3.43,74,75

Table 10.

Recommendations for the treatment of long QT syndrome.

General measures for lifestyle alterations
Avoid drugs that prolong the QT interval  (Class I) 
Identify and correct hydroelectrolytic disorders  (Class I) 
Risk stratification and specific treatment
Symptomatic individualsAsymptomatic individuals
Syncope  β-blockers
(Class I) 
QTc ≥470 ms  β-blockers
(Class I) 
Documented VT/VF  β-blockers
(Class I) 
QTc ≤470 ms  β-blockers
(Class IIa) 
“aborted” SCD  ICD
(Class I) 
Not treated with β-blockers*  ICD
(Class III) 
Recurrent syncope episodes during treatment with β-blockers  ICD
(Class IIa) 
   
Individuals with a diagnosis of LQTS who present with events during treatment with β-blockers/ICD  LCSD
(Class IIa) 
   
High-risk individuals with a diagnosis of LQTS who refuse ICD or for whom it is contraindicated and/or when β-blockers are not effective in preventing syncope/arrhythmias, are not tolerated, are contraindicated or are refusedLCSD
(Class I) 
Individuals with type 3 LQTS and QTc >500 ms that decrease >40 ms after acute oral test with an SCBSCB
(Class IIa) 

ICD: implantable cardioverter defibrillator; LCSD: left cardiac sympathetic denervation; SCB: sodium channel blocker; SCD: sudden cardiac death; VF: ventricular fibrillation; VT: ventricular tachycardia.

*

Except under special circumstances, the ICD is not indicated in asymptomatic individuals not undergoing treatment with β-blockers.

Adapted from Priori et al. (2013).46

Mexiletine, flecainide or ranolazine constitute “specific” therapeutic options for LQTS3 (Table 10), for which β-blockers may not be so effective, since the adrenergic stress in this type is a trigger with less influence.1,43,70,76 Mexiletine may be used as an add-on to β-blockers.9,43,46,50 However, its effect depends on the type of mutation and may not be beneficial for all individuals with LQTS3.9,12,70

In fact, of the three main types of LQTS, type 3 is the one that involves a higher arrhythmia recurrence rate in individuals receiving treatment with β-blockers (10-15%).70 This justifies the need for individuals with LQTS3 to undergo other invasive procedures, such as left cardiac sympathetic denervation and/or ICD implantation more frequently (Table 10).70

Conclusions

Cardiac channelopathies are not common in clinical practice (although they are more common than once thought), but they have a significant impact on quality of life and survival.1,13 The clinical approach constitutes a challenge, owing to their high clinical and genetic heterogeneity.1,76

Although they were initially considered to be separate clinical entities with distinct phenotypes, these syndromes may have overlapping clinical and genetic presentations (Figure 8).21 In fact, in addition to strictly loss- or gain-of-function mutations, there is a wide spectrum of mutations associated with various anomalies with different repercussions in NaC function.25 In some cases, a single mutation in the SCN5A gene may result in multiple rhythm disorders, and various phenotypes may thus coexist in the same family.6,25

Figure 8.
(0.18MB).

Diagram illustrating the overlap between BrS, LQTS, SQTS, SND, ERS and ARVC. The sodium channel macromolecular complex genes are in bold.

ARVC: arrhythmogenic right ventricular cardiomyopathy; ERS: early repolarization syndrome; LQTS: long QT syndrome; SND: sinus node disease; SQTS: short QT syndrome.

Extracted and adapted from Sarquella-Brugada (2016)8 and Fernandez-Falgueras (2017).35

Moreover, some studies have recently reported structural heart anomalies secondary to mutations in this gene (namely DCM), although the underlying mechanism is unknown.6,18,22,77

The power of the genetic tests to identify mutations is currently 25% for BrS and 80% for LQTS (Figure 9).43,78 The impact of genetics in clinical approach varies considerably depending on the underlying channelopathies, and is more marked in LQTS, where influence at the level of diagnosis, prognosis and treatment is recognized.9,43,78

Figure 9.
(0.05MB).

Cardiac channelopathies: positivity of the genetic tests in individuals clinically diagnosed with BrS and LQTS.

Data presented in the charts from Schwartz and Dagradi (2016).78

Great progress has been made in understanding the genotype-phenotype relationship and its implications.43 However, despite increased scientific knowledge in this field, the genotype of a considerable number of affected individuals remains undetermined, some mechanisms still need to be clarified and the treatment options currently available are still limited.12,18,72 A better understanding of molecular principles may contribute not only to increasing knowledge of these aspects, but also to developing new specific treatment approaches for the gene or mutation.12,43

Conflicts of interest

The authors have no conflicts of interest to declare.

References
1
M. Cerrone,S. Cummings,T. Alansari
A clinical approach to inherited arrhythmias
Circ Cardiovasc Genet, 5 (2012), pp. 581-590 http://dx.doi.org/10.1161/CIRCGENETICS.110.959429
2
A.L. George Jr.
Inherited disorders of voltage-gated sodium channels
J Clin Invest, 115 (2005), pp. 1990-1999 http://dx.doi.org/10.1172/JCI25505
3
M. Cerrone,C. Napolitano,S.G. Priori
Genetics of ion-channel disorders
Curr Opin Cardiol, 27 (2012), pp. 242-252 http://dx.doi.org/10.1097/HCO.0b013e328352429d
4
M.J. Ackerman,D.P. Zipes,R.J. Kovacs
Eligibility and Disqualification Recommendations for Competitive Athletes With Cardiovascular Abnormalities: Task Force 10: The Cardiac Channelopathies: A Scientific Statement From the American Heart Association and American College of Cardiology
Circulation, 132 (2015), pp. e326-e329 http://dx.doi.org/10.1161/CIR.0000000000000246
5
A.A. Wilde,R. Brugada
Phenotypical manifestations of mutations in the genes encoding subunits of the cardiac sodium channel
6
C.A. Remme
Cardiac sodium channelopathy associated with SCN5A mutations: electrophysiological, molecular and genetic aspects
J Physiol, 591 (2013), pp. 4099-4116 http://dx.doi.org/10.1113/jphysiol.2013.256461
7
M. Liu,K.C. Yang,S.C. Dudley Jr.
Cardiac sodium channel mutations: why so many phenotypes?
Nat Rev Cardiol, 11 (2014), pp. 607-615 http://dx.doi.org/10.1038/nrcardio.2014.85
8
G. Sarquella-Brugada,O. Campuzano,E. Arbelo
Brugada syndrome: clinical and genetic findings
Genet Med, 18 (2016), pp. 3-12 http://dx.doi.org/10.1038/gim.2015.35
9
Y. Mizusawa
Recent advances in genetic testing and counseling for inherited arrhythmias
J Arrhythm, 32 (2016), pp. 389-397 http://dx.doi.org/10.1016/j.joa.2015.12.009
10
D.J. Tester,M.J. Ackerman
Postmortem long QT syndrome genetic testing for sudden unexplained death in the young
J Am Coll Cardiol, 49 (2007), pp. 240-246 http://dx.doi.org/10.1016/j.jacc.2006.10.010
11
H. Abriel,J.S. Rougier,J. Jalife
Ion channel macromolecular complexes in cardiomyocytes: roles in sudden cardiac death
Circ Res, 116 (2015), pp. 1971-1988 http://dx.doi.org/10.1161/CIRCRESAHA.116.305017
12
P. Imbrici,A. Liantonio,G.M. Camerino
Therapeutic approaches to genetic ion channelopathies and perspectives in drug discovery
Front Pharmacol, 7 (2016), pp. 121 http://dx.doi.org/10.3389/fphar.2016.00121
13
P.J. Schwartz,M. Stramba-Badiale,L. Crotti
Prevalence of the congenital long-QT syndrome
Circulation, 120 (2009), pp. 1761-1767 http://dx.doi.org/10.1161/CIRCULATIONAHA.109.863209
14
P.G. Meregalli,A.A. Wilde,H.L. Tan
Pathophysiological mechanisms of Brugada's syndrome: depolarization disorder, repolarization disorder, or more?
Cardiovasc Res, 67 (2005), pp. 367-378 http://dx.doi.org/10.1016/j.cardiores.2005.03.005
15
H. Abriel
Cardiac sodium channel Na(v)1.5 and interacting proteins: physiology and pathophysiology
J Mol Cell Cardiol, 48 (2010), pp. 2-11 http://dx.doi.org/10.1016/j.yjmcc.2009.08.025
16
J.D. Kapplinger,D.J. Tester,M. Alders
An international compendium of mutations in the SCN5A-encoded cardiac sodium channel in patients referred for Brugada's syndrome genetic testing
17
J.D. Kapplinger,J.R. Giudicessi,D. Ye
Enhanced classification of Brugada's syndrome-associated and long-QT's syndrome-associated genetic variants in the SCN5A-encoded Na(v)1.5 cardiac sodium channel
Circ Cardiovasc Genet, 8 (2015), pp. 582-595 http://dx.doi.org/10.1161/CIRCGENETICS.114.000831
18
C.C. Veerman,A.A. Wilde,E.M. Lodder
The cardiac sodium channel gene SCN5A and its gene product NaV1.5: role in physiology and pathophysiology
19
S. England,M.J. de Groot
Subtype-selective targeting of voltage-gated sodium channels
Br J Pharmacol, 158 (2009), pp. 1413-1425 http://dx.doi.org/10.1111/j.1476-5381.2009.00437.x
20
M.B. Rook,M.M. Evers,M.A. Vos
Biology of cardiac sodium channel Nav1.5 expression
Cardiovasc Res, 93 (2012), pp. 12-23 http://dx.doi.org/10.1093/cvr/cvr252
21
C.A. Remme,C.R. Bezzina
Sodium channel (dys)function and cardiac arrhythmias
Cardiovasc Ther, 28 (2010), pp. 287-294 http://dx.doi.org/10.1111/j.1755-5922.2010.00210.x
22
A.S. Amin,A. Asghari-Roodsari,H.L. Tan
Cardiac sodium channelopathies
Pflugers Arch, 460 (2010), pp. 223-237 http://dx.doi.org/10.1007/s00424-009-0761-0
23
G.S. Adsit,R. Vaidyanathan,C.M. Galler
Channelopathies from mutations in the cardiac sodium channel protein complex
J Mol Cell Cardiol, 61 (2013), pp. 34-43 http://dx.doi.org/10.1016/j.yjmcc.2013.03.017
24
M. Liu,S. Sanyal,G. Gao
Cardiac Na+ current regulation by pyridine nucleotides
25
Y. Ruan,N. Liu,S.G. Priori
Sodium channel mutations and arrhythmias
Nat Rev Cardiol, 6 (2009), pp. 337-348 http://dx.doi.org/10.1038/nrcardio.2009.44
26
I.W. Glaaser,J.D. Osteen,A. Puckerin
Perturbation of sodium channel structure by an inherited long QT's syndrome mutation
Nat Commun, 3 (2012), pp. 706 http://dx.doi.org/10.1038/ncomms1717
27
C. Poulet,E. Wettwer,M. Grunnet
Late sodium current in human atrial cardiomyocytes from patients in sinus rhythm and atrial fibrillation
28
O. Campuzano,P. Beltran-Alvarez,A. Iglesias
Genetics and cardiac channelopathies
29
M.T. Ricci,S. Menegon,S. Vatrano
SCN1B gene variants in Brugada's syndrome: a study of 145 SCN5A-negative patients
Sci Rep, 4 (2014), pp. 6470 http://dx.doi.org/10.1038/srep06470
30
U. Peeters,F. Scornik,H. Riuro
Contribution of cardiac sodium channel beta-subunit variants to Brugada's syndrome
Circ J, 79 (2015), pp. 2118-2129 http://dx.doi.org/10.1253/circj.CJ-15-0164
31
H. Watanabe,D. Darbar,D.W. Kaiser
Mutations in sodium channel beta1- and beta2-subunits associated with atrial fibrillation
Circ Arrhythm Electrophysiol, 2 (2009), pp. 268-275 http://dx.doi.org/10.1161/CIRCEP.108.779181
32
M.S. Olesen,T. Jespersen,J.B. Nielsen
Mutations in sodium channel beta-subunit SCN3B are associated with early-onset lone atrial fibrillation
Cardiovasc Res, 89 (2011), pp. 786-793 http://dx.doi.org/10.1093/cvr/cvq348
33
A. Medeiros-Domingo,T. Kaku,D.J. Tester
SCN4B-encoded sodium channel beta4 subunit in congenital long-QT's syndrome
34
Y. Nakano,W. Shimizu
Genetics of long-QT's syndrome
J Hum Genet, 61 (2016), pp. 51-55 http://dx.doi.org/10.1038/jhg.2015.74
35
A. Fernandez-Falgueras,G. Sarquella-Brugada,J. Brugada
Cardiac channelopathies and sudden death: recent clinical and genetic advances
Biology (Basel), 6 (2017),
36
N. Makita,N. Yagihara,L. Crotti
Novel calmodulin mutations associated with congenital arrhythmia susceptibility
Circ Cardiovasc Genet, 7 (2014), pp. 466-474 http://dx.doi.org/10.1161/CIRCGENETICS.113.000459
37
M. Vatta,M.J. Ackerman,B. Ye
Mutant caveolin-3 induces persistent late sodium current and is associated with long-QT's syndrome
Circulation, 114 (2006), pp. 2104-2112 http://dx.doi.org/10.1161/CIRCULATIONAHA.106.635268
38
M. Cerrone,M. Delmar
Desmosomes and the sodium channel complex: implications for arrhythmogenic cardiomyopathy and Brugada's syndrome
Trends Cardiovasc Med, 24 (2014), pp. 184-190 http://dx.doi.org/10.1016/j.tcm.2014.02.001
39
M. Cerrone,X. Lin,M. Zhang
Missense mutations in plakophilin-2 cause sodium current deficit and associate with a Brugada's syndrome phenotype
Circulation, 129 (2014), pp. 1092-1103 http://dx.doi.org/10.1161/CIRCULATIONAHA.113.003077
40
P. Brugada
Brugada's syndrome: more than 20 years of scientific excitement
J Cardiol, 67 (2016), pp. 215-220 http://dx.doi.org/10.1016/j.jjcc.2015.08.009
41
P. Brugada,J. Brugada
Right bundle branch block, persistent ST segment elevation and sudden cardiac death: a distinct clinical and electrocardiographic syndrome. A multicenter report
J Am Coll Cardiol, 20 (1992), pp. 1391-1396
42
B. Benito,R. Brugada,J. Brugada
Brugada syndrome
Prog Cardiovasc Dis, 51 (2008), pp. 1-22 http://dx.doi.org/10.1016/j.pcad.2008.05.002
43
P.J. Schwartz,M.J. Ackerman,A.L. George Jr.
Impact of genetics on the clinical management of channelopathies
J Am Coll Cardiol, 62 (2013), pp. 169-180 http://dx.doi.org/10.1016/j.jacc.2013.04.044
44
V. Probst,C. Veltmann,L. Eckardt
Long-term prognosis of patients diagnosed with Brugada1s syndrome: results from the FINGER Brugada's Syndrome Registry
45
C. Antzelevitch,P. Brugada,M. Borggrefe
Brugada syndrome: report of the second consensus conference: endorsed by the Heart Rhythm Society and the European Heart Rhythm Association
46
S.G. Priori,A.A. Wilde,M. Horie
HRS/EHRA/APHRS expert consensus statement on the diagnosis and management of patients with inherited primary arrhythmia syndromes: document endorsed by HRS, EHRA, and APHRS in May 2013 and by ACCF, AHA, PACES, and AEPC in June 2013
Heart Rhythm, 10 (2013), pp. 1932-1963 http://dx.doi.org/10.1016/j.hrthm.2013.05.014
47
J. Brugada,R. Brugada,P. Brugada
Right bundle-branch block and ST-segment elevation in leads V1 through V3: a marker for sudden death in patients without demonstrable structural heart disease
Circulation, 97 (1998), pp. 457-460
48
J. Sieira,G. Ciconte,G. Conte
Asymptomatic Brugada's syndrome: clinical characterization and long-term prognosis
Circ Arrhythm Electrophysiol, 8 (2015), pp. 1144-1150 http://dx.doi.org/10.1161/CIRCEP.114.003044
49
A. Andorin,E.R. Behr,I. Denjoy
Impact of clinical and genetic findings on the management of young patients with Brugada's syndrome
Heart Rhythm, 13 (2016), pp. 1274-1282 http://dx.doi.org/10.1016/j.hrthm.2016.02.013
50
K.V. Lieve,A.A. Wilde
Inherited ion channel diseases: a brief review
Europace, 17 (2015),
ii1–6
51
P. Berne,J. Brugada
Brugada's syndrome 2012
Circ J, 76 (2012), pp. 1563-1571
52
R. Brugada,J. Brugada,C. Antzelevitch
Sodium channel blockers identify risk for sudden death in patients with ST-segment elevation and right bundle branch block but structurally normal hearts
Circulation, 101 (2000), pp. 510-515
53
M.J. Ackerman,S.G. Priori,S. Willems
HRS/EHRA expert consensus statement on the state of genetic testing for the channelopathies and cardiomyopathies this document was developed as a partnership between the Heart Rhythm Society (HRS) and the European Heart Rhythm Association (EHRA)
Heart Rhythm, 8 (2011), pp. 1308-1339 http://dx.doi.org/10.1016/j.hrthm.2011.05.020
54
J. Sieira,G. Dendramis,P. Brugada
Pathogenesis and management of Brugada's syndrome
Nat Rev Cardiol, 13 (2016), pp. 744-756 http://dx.doi.org/10.1038/nrcardio.2016.143
55
L. Crotti,C.A. Marcou,D.J. Tester
Spectrum and prevalence of mutations involving BrS1- through BrS12-susceptibility genes in a cohort of unrelated patients referred for Brugada's syndrome genetic testing: implications for genetic testing
J Am Coll Cardiol, 60 (2012), pp. 1410-1418 http://dx.doi.org/10.1016/j.jacc.2012.04.037
56
D. Hu,H. Barajas-Martinez,R. Pfeiffer
Mutations in SCN10A are responsible for a large fraction of cases of Brugada's syndrome
J Am Coll Cardiol, 64 (2014), pp. 66-79 http://dx.doi.org/10.1016/j.jacc.2014.04.032
57
V. Probst,A.A. Wilde,J. Barc
SCN5A mutations and the role of genetic background in the pathophysiology of Brugada's syndrome
Circ Cardiovasc Genet, 2 (2009), pp. 552-557 http://dx.doi.org/10.1161/CIRCGENETICS.109.853374
58
E. Garcia-Molina,J. Lacunza,F. Ruiz-Espejo
A study of the SCN5A gene in a cohort of 76 patients with Brugada's syndrome
Clin Genet, 83 (2013), pp. 530-538 http://dx.doi.org/10.1111/cge.12017
59
P. Brugada
Commentary on the Brugada ECG pattern: a marker of channelopathy, structural heart disease, or neither? Toward a unifying mechanism of the Brugada's syndrome
Circ Arrhythm Electrophysiol, 3 (2010), pp. 280-282 http://dx.doi.org/10.1161/CIRCEP.110.957258
60
J.J. Juang,M. Horie
Genetics of Brugada's syndrome
J Arrhythm, 32 (2016), pp. 418-425 http://dx.doi.org/10.1016/j.joa.2016.07.012
61
P.G. Meregalli,H.L. Tan,V. Probst
Type of SCN5A mutation determines clinical severity and degree of conduction slowing in loss-of-function sodium channelopathies
Heart Rhythm, 6 (2009), pp. 341-348 http://dx.doi.org/10.1016/j.hrthm.2008.11.009
62
K. Calloe,M.M. Refaat,S. Grubb
Characterization and mechanisms of action of novel NaV1.5 channel mutations associated with Brugada's syndrome
Circ Arrhythm Electrophysiol, 6 (2013), pp. 177-184 http://dx.doi.org/10.1161/CIRCEP.112.974220
63
J. Brugada,R. Brugada,P. Brugada
Determinants of sudden cardiac death in individuals with the electrocardiographic pattern of Brugada's syndrome and no previous cardiac arrest
64
J. Steinfurt,J. Biermann,C. Bode
The diagnosis, risk, and stratification and treatment of Brugada's syndrome
Dtsch Arztebl Int, 112 (2015), pp. 394-401 http://dx.doi.org/10.3238/arztebl.2015.0394
65
I. Goldenberg,A.J. Moss
Long QT syndrome
J Am Coll Cardiol, 51 (2008), pp. 2291-2300 http://dx.doi.org/10.1016/j.jacc.2008.02.068
66
Q. Wang,J. Shen,I. Splawski
SCN5A mutations associated with an inherited cardiac arrhythmia, long-QT's syndrome
Cell, 80 (1995), pp. 805-811
67
M.E. Curran,I. Splawski,K.W. Timothy
A molecular basis for cardiac arrhythmia: HERG mutations cause long-QT's syndrome
Cell, 80 (1995), pp. 795-803
68
Q. Wang,M.E. Curran,I. Splawski
Positional cloning of a novel potassium channel gene: KVLQT1 mutations cause cardiac arrhythmias
Nat Genet, 12 (1996), pp. 17-23 http://dx.doi.org/10.1038/ng0196-17
69
Y. Mizusawa,M. Horie,A.A. Wilde
Genetic and clinical advances in congenital long-QT's syndrome
Circ J, 78 (2014), pp. 2827-2833
70
J.R. Giudicessi,M.J. Ackerman
Genotype- and phenotype-guided management of congenital long-QT's syndrome
Curr Probl Cardiol, 38 (2013), pp. 417-455 http://dx.doi.org/10.1016/j.cpcardiol.2013.08.001
71
S.G. Priori,P.J. Schwartz,C. Napolitano
Risk stratification in the long-QT's syndrome
N Engl J Med, 348 (2003), pp. 1866-1874 http://dx.doi.org/10.1056/NEJMoa022147
72
P.J. Schwartz
The congenital long-QT's syndromes from genotype to phenotype: clinical implications
73
I. Goldenberg,A.J. Moss,W. Zareba
QT interval: how to measure it and what is “normal”
J Cardiovasc Electrophysiol, 17 (2006), pp. 333-336 http://dx.doi.org/10.1111/j.1540-8167.2006.00408.x
74
P.J. Schwartz,S.G. Priori,C. Spazzolini
Genotype-phenotype correlation in the long-QT's syndrome: gene-specific triggers for life-threatening arrhythmias
Circulation, 103 (2001), pp. 89-95
75
M.L. Furst,P.F. Aziz
The evolution of sports participation guidelines and the influence of genotype-phenotype correlation in long-QT's syndrome
Trends Cardiovasc Med, 26 (2016), pp. 690-697 http://dx.doi.org/10.1016/j.tcm.2016.04.013
76
D.J. Tester,M.J. Ackerman
Genetic testing for potentially lethal, highly treatable inherited cardiomyopathies/channelopathies in clinical practice
Circulation, 123 (2011), pp. 1021-1037 http://dx.doi.org/10.1161/CIRCULATIONAHA.109.914838
77
E. Zaklyazminskaya,S. Dzemeshkevich
The role of mutations in the SCN5A gene in cardiomyopathies
Biochim Biophys Acta, 1863 (2016), pp. 1799-1805 http://dx.doi.org/10.1016/j.bbamcr.2016.02.014
78
P.J. Schwartz,F. Dagradi
Management of survivors of cardiac arrest – the importance of genetic investigation
Nat Rev Cardiol, 13 (2016), pp. 560-566 http://dx.doi.org/10.1038/nrcardio.2016.104

Please cite this article as: Fonseca DJNdO, Silva MJLVd. Canalopatias cardíacas: o papel das mutações nos canais de sódio. Rev Port Cardiol. 2018;37:179–199.

WARNING Invalid argument supplied for foreach() (includes_ws/librerias/html/item.php[1203])
Copyright © 2017. Sociedade Portuguesa de Cardiologia

Metrics

  • Impact Factor: 1.195(2016)
  • SCImago Journal Rank (SJR):0,24
  • Source Normalized Impact per Paper (SNIP):0,398