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Journal of Biomedical Science logoLink to Journal of Biomedical Science
. 2017 Dec 4;24:91. doi: 10.1186/s12929-017-0397-x

H558R, a common SCN5A polymorphism, modifies the clinical phenotype of Brugada syndrome by modulating DNA methylation of SCN5A promoters

Hiroya Matsumura 1, Yukiko Nakano 1,2,, Hidenori Ochi 2,3, Yuko Onohara 1, Akinori Sairaku 1, Takehito Tokuyama 1, Shunsuke Tomomori 1, Chikaaki Motoda 1, Michitaka Amioka 1, Naoya Hironobe 1, Masaaki Toshishige 1, Shinya Takahashi 4, Katsuhiko Imai 4, Taijiro Sueda 4, Kazuaki Chayama 2,3, Yasuki Kihara 1
PMCID: PMC5713129  PMID: 29202755

Abstract

Background

A common SCN5A polymorphism H558R (c.1673 A > G, rs1805124) improves sodium channel activity in mutated channels and known to be a genetic modifier of Brugada syndrome patients (BrS). We investigated clinical manifestations and underlying mechanisms of H558R in BrS.

Methods and results

We genotyped H558R in 100 BrS (mean age 45 ± 14 years; 91 men) and 1875 controls (mean age 54 ± 18 years; 1546 men). We compared clinical parameters in BrS with and without H558R (H558R+ vs. H558R- group, N = 9 vs. 91). We also obtained right atrial sections from 30 patients during aortic aneurysm operations and compared SCN5A expression and methylation with or without H558R. H558R was less frequent in BrS than controls (9.0% vs. 19.2%, P = 0.028). The VF occurrence ratio was significantly lower (0% vs. 29.7%, P = 0.03) and spontaneous type 1 ECG was less observed in H558R+ than H558R- group (33.3% vs. 74.7%, P = 0.01). The SCN5A expression level was significantly higher and the methylation rate was significantly lower in sections with H558R (N = 10) than those without (0.98 ± 0.14 vs. 0.83 ± 0.19, P = 0.04; 0.7 ± 0.2% vs. 1.6 ± 0.1%, P = 0.004, respectively). In BrS with heterozygous H558R, the A allele mRNA expression was 1.38 fold higher than G allele expression.

Conclusion

The SCN5A polymorphism H558R may be a modifier that protects against VF occurrence in BrS. The H558R decreased the SCN5A promoter methylation and increased the expression level in cardiac tissue. An allelic expression imbalance in BrS with a heterozygous H558R may also contribute to the protective effects in heterozygous mutations.

Electronic supplementary material

The online version of this article (doi: 10.1186/s12929-017-0397-x) contains supplementary material, which is available to authorized users.

Keywords: Brugada syndrome, Single nucleotide polymorphism, SCN5A, Ventricular fibrillation

Background

Brugada syndrome (BrS) is one of the main causes of sudden cardiac death in younger age groups resulting from ventricular fibrillation (VF) or polymorphic ventricular tachycardia [1]. A major causative gene of BrS is α-subunit of the cardiac sodium channel (Nav 1.5) encoded by the SCN5A gene, which is located on chromosome 3p21 and consists of 101,617 bases and 28 exons encoding 2016 amino acids of Nav 1.5 [2]. BrS is an autosomal dominant disease with incomplete penetrance and little is known about the mechanisms underlying the variability of penetrance. Past reports [3, 4] have suggested that a single nucleotide polymorphism (SNP) coexisting with a mutation might coordinate the penetrance. The common SCN5A polymorphism H558R (c.1673, A > G, rs1805124) has been reported to be such a genetic modulator; basic studies have shown that H558R improved sodium channel activity in mutated channels by repairing abnormal channel gating kinetics and membrane trafficking [36]. Clinically, they have reported that the presence of the minor allele A (H558R) improves ECG characteristics and the clinical phenotype among the carriers of a SCN5A mutation [7].

However, the mechanisms by which H558R rescues the SCN5A mutations are controversial and remain to be defined. In this study, we investigated the effects of H558R on the clinical manifestations and underlying mechanisms in BrS.

Methods

Participants

The study population comprised consecutive 100 patients (mean age at diagnosis of 45 ± 14 years; 91 men) diagnosed with BrS between May 1995 and November 2014 and 1875 normal controls (mean age 54 ± 18 years; 1546 men). All participants were Japanese and unrelated.

BrS was definitively diagnosed based on the 2013 HRS/EHRA/APHRS consensus statement [8]. Right atrial sections were obtained for expression analysis from 30 patients (17 men and 13 women; mean age 67 ± 12 years) during aortic aneurysm operations at our hospital. The Institutional Ethics Committee of the Graduate School of Biomedical Science at Hiroshima University approved all procedures, including the use of human tissue. Written informed consent was obtained from all participants.

Genotyping of rs1805124 in BrS patients and normal controls

Peripheral blood was obtained from all the subjects. Genomic DNA was extracted from leukocytes using a QIAamp DNA Blood Mini Kit (QIAGEN, Hilden, Germany) following the normal protocol. We genotyped rs1805124 in all 100 BrS patients and 1875 healthy control subjects using the TaqMan assay, as described previously, [9, 10] and compared the frequency of H558R occurrence between the BrS patients and controls. We also genotyped rs1805124 in the 30 patients who underwent aortic aneurysm operations for the expression study. For typing H558R (rs1805124), we used forward primer: TTTGGACTTGGCACTGGTGAT and reverse primer: AGACCTGGGTTCTGAAGCAGATT. We used the Invader oligo: GGGGGAGAGCGAGAGCCACCT, signal prove-G: CGCGCCGAGGACACATCACTGCTGGTG, and signal prove-T: ATGACGTGGCAGACGCACATCACTGCTGGT.

Sequence analysis of SCN5A in BrS patients

Using Go Taq (Promega, Madison, WI, USA), all SCN5A coding regions were amplified by polymerase chain reaction (PCR) from 2.5 ng genomic DNA using our original primers. These amplified coding regions were directly resequenced from both directions using an ABI PRISM 310 Genetic Analyzer (Applied Biosystems, Foster City, CA, USA) to identify mutations and polymorphisms. Information about the SCN5A primers is presented in Additional file 1: Table S1.

Analysis of gene expression and DNA Methylation of promoters in the SCN5A gene

The total RNA and genome DNA were isolated from the right atrial sections using an All Prep DNA/RNA/miRNA universal kit (QIAGEN). Quantitative reverse transcription PCR of the SCN5A mRNA was performed by QX200 Droplet Digital PCR (dd-PCR) system (Bio-Rad, Hercules, CA, USA) as described previously, using GAPDH as a reference gene [11, 12].

The primer sequences used for SCN5A were 5′- TTGCAGATGATGAAAACAGCACAG -3′ and 5′-GGCCAGGGCACCAGCA-3′, and for GAPDH were 5′-GTCTCCTCTGACTTCAACAGCG-3′ and 5′-ACCACCCTGTTGCTGTAGCCAA-3′.

The H558R was detected with the FAM probe: 5′-TGATGTGTGGTGGCT-3′ and the VIC probe: 5′-ATGTGCGGTGGCT-3′. The dd-PCR data were analyzed with Quanta Soft analysis software (Bio-Rad), and the quantification of either the G allele or A allele of cDNA and genome DNA in patients with heterozygous H558R was presented as the number of copies per microliter of PCR mixture.

We also examined the epigenetics of SCN5A in 16 CpG dinucleotides in the SCN5A promoter (capital means methylation site): tgtgtgtgtg tgtatactct ggCgggtgct ggtgtgtatg ccagtgtttg ttaatgtgag cctgtcCgCg tcCgCgtggg tggccatctg tggtgaagCg tCgcCgggtC gcCgtgtgtg taccccCgcc tatgtctgtc tgtcCgCggc CgCgtgtgCg gctgtctgtg gctgtgagcc by direct Sanger sequencing of the PCR amplicons of bisulfite treated DNA. The sequences of the MethPrimers were 5′-TTATGAATGTGGTTTTAGAGAG-3′ and 5′- AACAAAAAAACTCTCTCCAATCTCAC-3′.

Twelve-lead electrocardiogram measurements

A 12-lead electrocardiogram (ECG) was recorded at a paper speed of 25 mm/s and amplification of 10 mm/mV. We measured the RR, PQ, QRS, and corrected QT (QTc) intervals, and the highest J-point (STJ) and ST segment elevation amplitude in the V1 and V2 leads. The ST morphology in the right precordial leads is known to exhibit day-by-day variations. We therefore recorded ECGs for each participant on at least five different days and the type 1 Brugada ECG was diagnosed when the morphology was recorded spontaneously on at least one occasion [13].

Signal-averaged ECG findings

Late potentials were analyzed using a FP-705LP system (Fukuda Denshi, Tokyo, Japan). The ECG was recorded during sinus rhythm, using Frank X, Y, and Z leads. The signals from 300 beats were amplified, digitized, averaged, and filtered with backward and forward filters at a high-bandpass frequency of 40 Hz. The filtered QRS (f-QRS) duration, the root mean square voltage of the terminal 40 ms of f-QRS (RMS 40), and the duration of low-amplitude signals <40 μV in the terminal f-QRS (LAS 40) were determined. Late potentials were recognized as being positive when two of the following criteria were satisfied: f-QRS > 114 ms, RMS 40 < 20 μV, or LAS 40 > 38 ms [14].

Electrophysiological study

Electrophysiological studies were performed in 66 patients using three 5-Fr gage quadripolar electrode catheters with an inter-electrode distance of 5 mm. The catheters were placed at the high right atrium, His bundle, and right ventricular apex. The AH and HV intervals were measured on the baseline ECG. In addition, the sinus node recovery time and atrioventricular node effective refractory period were measured. The patients gave their written informed consent prior to participating in this study.

Statistical analysis

Data are presented as the mean ± standard deviation. Continuous data were compared between the two groups using unpaired Student’s t tests. The χ2 test and the Cochran–Armitage trend test were used to assess genetic associations between the cases and controls. Deviation from the Hardy–Weinberg equilibrium was tested among the cases and controls using an ordinary χ2 test. A value of P < 0.05 was considered statistically significant. The event-free survival curve after birth was constructed following the Kaplan–Meier method, and the results were compared using the log-rank test.

Results

Frequency of H558R in BrS cases and controls

The frequency of H558R in the BrS cases and controls is shown in Fig. 1. The minor G allele of rs1805124 was less frequent in BrS patients than in normal control cases (P = 0.028, odds ratio (OR): 1.97). Notably, the G allele was not observed in BrS patients with a history of VF (P = 0.03; Fig. 2). A comparison of the clinical characteristics in BrS patients with G allele of rs1805124 (H558R+ group, N = 9) or without G allele (H558R- group, N = 91) is presented in Table 1. In the H558R+ group, no case had a history of VF or syncope and all of them were asymptomatic.

Fig. 1.

Fig. 1

Frequency of H558R in the BrS cases and controls, The minor G allele of rs1805124 was less frequent in BrS patients than in normal control cases (P = 0.028, odds ratio (OR) 1.97)

Fig. 2.

Fig. 2

Frequency of H558R in the BrS cases with or without VF history, The G allele (H558R) was not observed in BrS patients with a history of VF (P = 0.03)

Table 1.

Clinical Characteristics in Brugada Syndrome Patients With or Without the G Allele of rs1805124 (H558R+ Group or H558R- Group)

H558R- group (N = 91) H558R+ group (N = 9) P value
Age (years) 44 ± 14 53 ± 12 0.10
Sex (male%) 90.1% 100% 0.20
History of VF 29.7% 0% 0.01
History of syncope 25.3% 0% 0.02
Family history of SCD 35.1% 22.2% 0.43
Atrial Fibrillation 15.4% 33.3% 0.21
Induction of VF 51.6% 77.7% 0.30

VF ventricular fibrillation, SCD sudden cardiac death

Findings from the 12-lead electrocardiogram, signal-averaged electrocardiogram, and electrophysiological studies are shown in Table 2. Spontaneous type 1 morphology in the V1 was observed less often in the H558R+ group than in the H558R- group (33.3% vs. 74.7%, P = 0.01). In addition, the elevation levels of ST segment in the J points of the V1 and V2 leads were significantly lower in the H558R+ group than in the H558R- group (V1: 1.7 ± 0.5 vs. 2.8 ± 1.4, P = 0.0003; V2: 2.4 ± 1.3 vs. 4.2 ± 1.8, P = 0.0038). There were no significant differences in the other ECG, signal-averaged ECG, and electrophysiological study parameters.

Table 2.

Twelve-Lead ECG, SAECG, and EPS Findings in Patients With or Without the G Allele of rs1805124 (H558R+ Group or H558R- Group)

H558R- Group (N = 91) H558R+ Group (N = 9) P value
ECG
 Spontaneous type1 Brugada ECG in V1 lead 74.7% 33.3% 0.01
 Spontaneous type1 Brugada ECG in V2 lead 40.2% 33.3% 0.68
 ST in V1 (mV) 2.8 ± 1.4 1.7 ± 0.5 0.0003
 ST in V2 (mV) 4.2 ± 1.8 2.4 ± 1.3 0.0038
 J points in V1 (mV) 3.3 ± 2.2 2.3 ± 0.5 0.19
 J points in V2 (mV) 4.8 ± 2.4 3.5 ± 1.6 0.12
 PQ (ms) 170 ± 33 174 ± 23 0.76
 QRS (ms) 120 ± 44 106 ± 16 0.61
 QT (ms) 397 ± 33 407 ± 24 0.36
 QTc (ms) 413 ± 34 425 ± 23 0.32
SAECG
 Filtered QRS duration (ms) 163 ± 29 155 ± 26 0.48
 RMS 40 (μV) 13 ± 10 11 ± 6 0.67
 LAS 40 (ms) 50 ± 15 53 ± 14 0.62
 Positive late potentials (%) 76.3% 66.6% 0.53
EPS
 AH (ms) 100 ± 20 90 ± 18 0.23
 HV (ms) 49 ± 12 48 ± 11 0.77
 AVN refractory period (ms) 385 ± 114 306 ± 151 0.12
 Sinus node recovery time (ms) 1319 ± 450 1273 ± 87 0.80

ECG electrocardiogram, SAECG signal-averaged ECG, EPS electrophysiological study, RMS 40 root mean square voltage (40 ms), LAS 40 low-amplitude signal

Resequencing results for the SCN5A gene in BrS cases

The SCN5A mutations were detected in 9 of 100 (9%) BrS patients (H278R, N782 T, N740del, E1784K, G1420R, R1023C, K1859G, A1186T, c.3840 + 1 G > A). They did not coexist with H558R.

H558R and the first manifestation of VF in BrS cases

VF had occurred in 28 patients prior to enrollment (24 men and 4 women; mean age 40 ± 17 years). After enrollment, during the follow-up period (mean 76 ± 37 months), VF occurred in 9 of the 28 patients with a history of VF and 4 of the 72 patients without VF history. Kaplan–Meier event-free survival curves revealed that the rate of VF events was significantly lower in the BrS patients without history of VF. (Additional file 2: Figure S1, P = 0.008 by log rank test) The VF-free survival curves of life-tables method using the Kaplan–Meier demonstrated that BrS patients in the H558R+ group experienced no VF event, and the VF occurrence ratio was significantly lower than for the patients in the H558R- group, according to a log-rank test (P = 0.03; Fig. 3).

Fig. 3.

Fig. 3

Kaplan–Meier analysis of cumulative survival from VF in 100 BrS patients. The occurrence ratio of VF was significantly lower in the H558R+ group than in the H558R- group according to a log-rank test (P = 0.03). VF: ventricular fibrillation; blue line: H558R+ group; red line: H558R- group

Relationship between H558R and the expression and Methylation levels of the SCN5A gene

The heterozygous H558R was detected in 10 of 30 patients whose right atrial sections were obtained for the expression study. The expression level of SCN5A was significant higher in the right atrial sections of patients with H558R (N = 10) than of those without (N = 20) ((0.98 ± 0.14 vs. 0.83 ± 0.19, P = 0.04; Fig. 4). The rate of methylation was lower in 13 of 16 methylation site (Fig. 5a) and the total methylation rate was also lower in patients with H558R than in those without (0.7 ± 0.2% vs. 1.6 ± 0.1%, P = 0.004; Fig. 5b). There is mild inverse correlation between the mRNA expression and the rate of methylation in SCN5A (r = −0.38, P = 0.04; Fig. 6).

Fig. 4.

Fig. 4

Expression levels of the SCN5A gene (using GAPDH as a reference gene), according to the presence or absence of H558R. The expression level of SCN5A was significantly higher in patients with H558R than in those without

Fig. 5.

Fig. 5

a The rate of methylation was lower in 13 of 16 methylation site. The methylation ratio of the SCN5A gene, according to the presence or not of H558R. b The rate of methylation was lower in patients with H558R than in those without (0.7 ± 0.2% vs. 1.6 ± 0.1%, P = 0.004). All data are indicated by box plots and mean ± standard error

Fig. 6.

Fig. 6

The correlation of mRNA expression and the rate of methylation in SCN5A. There is mild inverse correlation between the mRNA expression and the rate of methylation in SCN5A (r = −0.38, P = 0.04)

Expression ratio of G allele /a allele in patients with heterozygous H558R

We analyzed expression ratio of the A allele and G allele separately by specific probes in patients with heterozygous H558R.The expression levels of G allele and A allele was similar in genome DNA but the A allele (wild) expression was 1.38 fold higher than G allele (pathogenic) expression in mRNA. Allelic imbalance existed in mRNA in patients with heterozygous H558R. (P = 0.004 vs genome DNA; Fig. 7).

Fig. 7.

Fig. 7

The expression ratio of the A allele and G allele in patients with heterozygous H558R. The expression levels of G allele and A allele was similar in genome DNA but the A allele (wild) expression was 1.38 fold higher than G allele (pathogenic) expression in mRNA. Allelic imbalance existed in mRNA in patients with heterozygous H558R. (P = 0.004 vs. genome DNA)

Discussion

In this study, we compared the frequency of the common SCN5A polymorphism H558R (rs1805124) in 100 BrS patients and 1875 normal controls. The frequency of H558R was lower in the BrS patients than in the normal controls. Additionally, in the non-SCN5A mutation carrier BrS patients with H558R, the existence of H558R improved their ECG findings and they experienced no VF events. Furthermore, SCN5A expression was higher and the proportion of SCN5A methylation was lower in patients with H558R than in those without. Our results suggest that H558R may provide some protection against the occurrence of VF, even in BrS patients without a SCN5A mutation, by modulating SCN5A expression and SCN5A methylation.

H558R, a known genetic modifier of BrS [37], is a common polymorphism of SCN5A, with a minor allele frequency of approximately 10% in East Asian populations [15] and nearly 20% in Caucasians. The minor G allele frequency of H558R in the normal controls of the present study was consistent with the previous study just cited. In contrast, the minor G allele frequency was significantly lower in the BrS patients than in the normal controls in both our study and the published control data. There have been a few reports about the frequency of H558R in BrS patients and controls, with one paper reporting no allele difference between BrS patients and normal controls; however, the numbers of cases and controls in that study were small [16]. Another study has reported that the frequency of H558R was lower in a Japanese population with arrhythmia than in normal controls [17]. BrS is known to be more prevalent in East Asians than in Caucasians [13], and the frequency of H558R is lower in East Asians than in Caucasians, as already mentioned. Our result that the frequency of H558R was lower in BrS patients than in normal controls corresponds with this. Additionally, in our study, no BrS patient with H558R suffered a VF event and all were asymptomatic. These findings suggest that the H558R provides some protective effects against the pathogenesis of BrS and the incidence of VF in BrS patients.

According to clinical findings, H558R has been observed to have modulatory effects in BrS patients with pathological mutations [7]. These authors reported that the SCN5A mutation carrier of BrS patients with H558R improved their ECG characteristics and was associated with fewer VF events than in patients without H558R. In the present study, we also demonstrated that BrS patients with a H558R polymorphism had lower J-point and ST elevation in the right precordial leads and fewer type 1 ECGs, even in the non-SCN5A mutation carriers. Spontaneous type 1 ECG and prominent J-ST elevation are known to be predictors of VF occurrence in BrS [1820]. Our findings suggested that some modification by H558R of inward or outward channel currents or action potentials had a protective effect on the BrS ECG and on the occurrence of VF.

We therefore went on to investigate the mechanism explaining why H558R had this protective effect on BrS patients. There have been many reports that H558R modifies the loss of the functional effect on SCN5A brought by SCN5A mutations [36]. After Viswanathan et al. reported in 2003 that H558R modified the in vitro effects on the Na+ channel function brought by the nearby mutation T512I in the same allele [6], many researchers have reported that H558R improves sodium channel activity in mutated channels by restoring abnormal channel gating kinetics or membrane trafficking [35].

Poelzing et al. reported an asymptomatic individual with H558R in a family that carried the R282H-SCN5A mutation and showed that coexpression of the mutation with the polymorphism produced a significantly greater current than coexpression of the mutant with the wild-type gene [21]. Many studies have used the patch clamp technique to estimate channel activity derived from SCN5A mutation or polymorphisms. Most of these reported that H558R had protective effects on the decreased channel activity that came from SCN5A; but whether the H558R itself changed the channel activity, and the mechanisms by which it rescues the SCN5A mutations, have proved controversial and as yet have not been fully defined [22, 23].

We performed dd-PCR, more sensitive and quantitative than RT-PCR, using human specimens and demonstrated that the expression level of SCN5A mRNA was higher in the participants with H558R than in those without. The increased SCN5A expression in people with H558R may be associated with the protective effects of H558R in BrS patients. We also analyzed expression ratio of the A allele and G allele separately by specific probes in patients with heterozygous H558R and found that allelic imbalance existed (pathogenic G allele expression was lower than A allele) in mRNA in patients with heterozygous H558R. We suggested a hypothesis that the mutation effect may prone to be relieved if the heterozygous mutation rode on the risk allele G (Cis allele) (Additional file 3: Figure S2).

For DNA methylation study, we used genomic DNA from cardiac tissue to demonstrate a lower methylation level of SCN5A promoters in participants with H558R than in those without. DNA methylation has been reported to be a regulator of specific tissue gene expression [24]. The CpG islands in a promoter lesion are not generally methylated and act as transcription initiation sites [25]. Park et al. reported that SCN5A promoter variants were associated with disease severity, but the methylation rate of SCN5A using genomic DNA from blood was similar in the patients with or without the SCN5A promoter variants [26]. The low methylation rate of CpG islands in SCN5A promoter may contribute to increase the SCN5A expression in patients with H558R than those without.

The linker between DI and DII of SCN5A was reported to be a hot-spot for Arginine methylation. Arginines (R513, R526, and R680) located between DI and DII are reported to be modified by methylation and the mutation of R526H is known to cause Brugada syndrome [27]. In addition, there are phosphorylated serines, including S516, S524 and S525 close to the methylation sites. The R513 methylation and S516 phosphorylation was reported to be reciprocally interacted [28]. The protein arginine methyl transferases (PRMT)-3 and −5 was reported to methylate SCN5A in vitro and increase SCN5A cell surface expression and Na+ current density [29]. The R558 also exists between DI and DII and the methylation state may be regulated under the change from H558 to R558 and related to post-translational modification of SCN5A. Tatarinova T et al. reported an inverse relationship between the gene-body and promoter CpG island methylation [30]. The R558 (CGC) may be more prone to being methylated than H558 (CAC) and may be related to a suppressive modification of the SCN5A promoter CpG island methylation.

Given that VF events in BrS patients are rare before reaching adolescence, it is possible that the epigenetics rerates to pathogenesis of VF. The prevalence of several diseases including cancer, type 2 diabetes, metabolic syndrome, cardiovascular disease, and dementia are known to increase with age. Environmental factors are deeply involved in the onset of these disease and the epigenetic changes play an important role in this process [31]. The epigenetic changes in critical genes may contribute to the age-related increase in morbidity of these disease [32]. The VF occurrence in the BrS patients increased after 20 years of age in this study and it is compatible with the hypothesis via methylation difference.

In addition, there is mild inverse correlation between the mRNA expression and the rate of methylation in SCN5A. The precise relationship between H558R and SCN5A methylation remains unclear and further investigation will be needed; however, to the best of our knowledge the present study is the first to suggest a protective mechanism of H558R on BrS.

AF incidence rate was similar in the BrS patients with and without H558R in this study. The pathophysiology of AF in BrS has not been completely elucidated. In some reports, SCN5A gain of function mutations have been reported to be linked to an increased susceptibility to AF by enhancing the cellular excitability and lowering the action potential threshold [33, 34].

Kusano K et al. reported that SCN5A mutations were associated with a prolonged intraatrial conduction time, but were not related to the occurrence rate of spontaneous AF [35]. Amin AS et al. reported that the presence of an SCN5A mutation was associated with intra-atrial conduction slowing and suppressed atrial ectopic activity. Intra-atrial conduction slowing may provide a plausible substrate for AF maintenance, while reduced atrial ectopic activity may constitute inhibition of the trigger for AF initiation [36]. The facilitatory and inhibitory effects of SCN5A mutations on AF may be one reason why the AF incidence rate was similar in the BrS with and without SCN5A mutations. Spontaneous AF and VF are closely linked clinically, but their mechanism in BrS patients may not be completely coincidence.

There were several limitations to this study. First, the analysis of gene expression and DNA methylation were performed using atrial tissues from patients who underwent operations for diseases other than BrS, because it was difficult to perform the ventricular biopsy in BrS patients and obtain the amount of tissue required for the analysis. Second, no patient among our participants possessed both H558R and the SCN5A mutation. We could not validate previous studies in which H558R mitigates the effect of pathological mutations in SCN5A. Conversely, this was the first study to demonstrate that H558R was also protective for BrS patients without SCN5A mutations. Further studies are needed to clarify the precise mechanism of the relationship between the H558R polymorphism and gene expression or the DNA methylation of SCN5A promoters.

Conclusion

The H558R polymorphism of the SCN5A gene modifies the clinical phenotype of BrS by modulating DNA methylation of SCN5A gene promoters.

Additional files

Additional file 1: Table S1. (11.9KB, xlsx)

SCN5A primer list. (XLSX 11 kb)

Additional file 2: Figure S1. (43.1KB, pptx)

Kaplan–Meier event-free survival curves revealed that the rate of VF events was significantly lower in the BrS patients without history of VF. (P = 0.008 by log rank test). (PPTX 43 kb)

Additional file 3: Figure S2. (40KB, pptx)

We suggested a hypothesis that the mutation effect may prone to be relieved if the heterozygous mutation rode on the risk allele G (Cis allele) but actualized if they exist on trans allele. (PPTX 39 kb)

Acknowledgements

We would like to thank the members of the clerical and medical staff at Hiroshima University Hospital for their assistance.

Funding

Dr. Y. Nakano was supported by Japan Society for the Promotion of Science (JSPS) Grant-in-Aid for Scientific Research (KAKENHI) Grant Number 17 K09501, respectively.

Availability of data and materials

Not applicable

Abbreviations

AH

Right atria to His

BrS

Brugada syndrome

dd-PCR

Droplet Digital polymerase chain reaction

ECG

Electrocardiogram

f-QRS

Filtered QRS

GAPDH

Glyceraldehyde-3-phosphate dehydrogenase

HV

His to right ventricule

LAS 40

Low-amplitude signals <40 μV in the terminal f-QRS

OR

Odds ratio

PCR

Polymerase chain reaction

RMS 40

Root mean square voltage of the terminal 40 ms of f-QRS

RT-PCR

Reverse transcription polymerase chain reaction

SCN5A

Sodium voltage-gated channel alpha subunit 5

SNP

Single nucleotide polymorphism

VF

Ventricular fibrillation

Authors’ contributions

Conception and design of the study, analysis and interpretation of data, drafting of the manuscript: HM, YN, HO, YK. Critical discussion and revision of the manuscript for its intellectual content: HM, YN, HO. Analysis and interpretation of the data: YO, AS, TT, ST, CM, MT, ST, KI, TS, KC. All authors read and approved the final manuscript.

Ethics approval and consent to participate

The Institutional Ethics Committee of the Graduate School of Biomedical Science at Hiroshima University approved all procedures, including the use of human tissue. Written informed consent was obtained from all participants.

Consent for publication

Written informed consent for this publication was obtained from all participants.

Competing interests

All authors declare that they have no competing interests.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Footnotes

Electronic supplementary material

The online version of this article (doi: 10.1186/s12929-017-0397-x) contains supplementary material, which is available to authorized users.

Contributor Information

Hiroya Matsumura, Email: magne168@gmail.com.

Yukiko Nakano, Phone: 81-82-257-5555 (2310), Email: nakanoy@hiroshima-u.ac.jp.

Hidenori Ochi, Email: haiyo-san@memoad.jp.

Yuko Onohara, Email: porter_bonheur_yuuko97horn@yahoo.co.jp.

Akinori Sairaku, Email: rjrgw059@ybb.ne.jp.

Takehito Tokuyama, Email: takehito109@yahoo.co.jp.

Shunsuke Tomomori, Email: momorishun@yahoo.co.jp.

Chikaaki Motoda, Email: chikaaki0118@hotmail.com.

Michitaka Amioka, Email: tjhxt054@yahoo.co.jp.

Naoya Hironobe, Email: oom10sa-medical@yahoo.co.jp.

Masaaki Toshishige, Email: richen505050@yahoo.co.jp.

Shinya Takahashi, Email: shiny@mte.biglobe.ne.jp.

Katsuhiko Imai, Email: kimai@hiroshima-u.ac.jp.

Taijiro Sueda, Email: sueda@hiroshima-u.ac.jp.

Kazuaki Chayama, Email: chayama@mba.ocn.ne.jp.

Yasuki Kihara, Email: ykihara@hiroshima-u.ac.jp.

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Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Additional file 1: Table S1. (11.9KB, xlsx)

SCN5A primer list. (XLSX 11 kb)

Additional file 2: Figure S1. (43.1KB, pptx)

Kaplan–Meier event-free survival curves revealed that the rate of VF events was significantly lower in the BrS patients without history of VF. (P = 0.008 by log rank test). (PPTX 43 kb)

Additional file 3: Figure S2. (40KB, pptx)

We suggested a hypothesis that the mutation effect may prone to be relieved if the heterozygous mutation rode on the risk allele G (Cis allele) but actualized if they exist on trans allele. (PPTX 39 kb)

Data Availability Statement

Not applicable


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