Abstract
Phenotypic overlap of type 3 long QT syndrome (LQT3) with Brugada syndrome (BrS) is observed in some carriers of mutations in the Na channel SCN5A. While this overlap is important for patient management, the clinical features, prevalence, and mechanisms underlying such overlap have not been fully elucidated. To investigate the basis for this overlap, we genotyped a cohort of 44 LQT3 families of multiple ethnicities from 7 referral centers and found a high prevalence of the E1784K mutation in SCN5A. Of 41 E1784K carriers, 93% had LQT3, 22% had BrS, and 39% had sinus node dysfunction. Heterologously expressed E1784K channels showed a 15.0-mV negative shift in the voltage dependence of Na channel inactivation and a 7.5-fold increase in flecainide affinity for resting-state channels, properties also seen with other LQT3 mutations associated with a mixed clinical phenotype. Furthermore, these properties were absent in Na channels harboring the T1304M mutation, which is associated with LQT3 without a mixed clinical phenotype. These results suggest that a negative shift of steady-state Na channel inactivation and enhanced tonic block by class IC drugs represent common biophysical mechanisms underlying the phenotypic overlap of LQT3 and BrS and further indicate that class IC drugs should be avoided in patients with Na channels displaying these behaviors.
Introduction
Congenital long QT syndrome (LQTS) is characterized by the prolongation of the QT interval on surface ECGs and an increased risk of potentially fatal ventricular arrhythmias, especially torsade de pointes (1). QT interval is determined by the cardiac action potential which is orchestrated by a fine balance between inward and outward currents expressed in myocardial cells. Mutations in SCN5A, the gene encoding the most prevalent cardiac Na channel α subunit, are responsible for a spectrum of hereditary arrhythmias including type 3 LQTS (LQT3) (2), Brugada syndrome (BrS) (3), cardiac conduction disturbances (4), and sick sinus syndrome (SSS) (5). More than 70 distinct SCN5A mutations responsible for LQT3 have been reported (see http://www.fsm.it/cardmoc), and the common in vitro consequence of most of these mutations is a persistent Na current during the action potential plateau due to destabilized fast Na channel inactivation (2). This failure of fast inactivation shifts the ionic balance during the plateau phase toward inward current and delays repolarization, thus increasing action potential duration and the corresponding QT interval. Na channel blockers such as mexiletine (class IB) or flecainide (class IC) shorten QT in LQT3 due to block of this persistent current (6–8) and have therefore been used in the management of affected patients.
Despite these common biophysical features, the clinical manifestations associated with LQT3 mutations are variable. Surprisingly, some LQT3 patients display ECG findings characteristic of BrS (ST elevation in the right precordial leads) that are related to another biophysical mechanism, a reduction of peak Na current (9). Reduced Na current is thought to exaggerate differences in action potential duration between the inner (endocardium) and outer (epicardium) layers of ventricular muscle, thereby favoring a substrate promoting reentrant arrhythmias. Phenotypic overlap between LQT3 and BrS was first reported in a large Dutch family with an insertion mutation 1795insD, in which the mutation carriers showed ECG features of both LQT3 and BrS (10, 11). Importantly, Na channel block in the overlap phenotype shortens QT but exacerbates the ST segment elevation BrS phenotype and thus enhances arrhythmia risk (11). Biophysical studies demonstrated that the mutant channels displayed enhancement of both closed-state inactivation and slow inactivation, and this was thought to sensitize carriers to the BrS phenotype during flecainide therapy (12).
The overlap between the LQT3 and BrS phenotypes has also been reported in other SCN5A mutations such as ΔKPQ (13, 14), E1784K (13), and ΔK1500 (15), raising a concern about the safety of class IC drug therapy in LQT3 patients (13) and questions about the underlying mechanisms. However, phenotypic variability in LQT3 has thus far been reported sporadically or only within a single kindred. Therefore, it is not clear whether development of the BrS phenotype in a patient with LQT3 is solely determined by the biophysical properties of the mutant channel or by coinherited genetic variations, gender, ethnicity, or other environmental factors. One approach to dissect such phenotypic variability is to perform a clinical assessment of individuals with multiple pedigrees from genetically heterogeneous populations with the same mutation.
In the present study, we evaluated 15 kindreds of diverse ethnic backgrounds from Asia, Europe, and North America, all with the same LQT3 mutation, E1784K. We report here a high prevalence of overlap of the LQT3 phenotype with BrS and sinus node dysfunction. Furthermore, we have identified biophysical and pharmacological properties of the mutant channels that appear to be common to other mutants with this clinical overlap, thereby suggesting certain features of the mutant Na channel that result in an abnormal response to class IC drugs. These data extend the concept that molecular characterization of the consequences of individual DNA variants is desirable before the selection of a therapeutic approach in LQT3 patients.
Results
Clinical phenotypes in 15 LQT3 families with SCN5A-E1784K.
Among the 66 family members who underwent genetic testing, 41 were identified as heterozygous mutation carriers (18 men, 23 women, 25 ± 19 years, means ± SD) and 25 as noncarriers (11 men, 14 women). Three individuals showed a prolonged rate-corrected QT interval (QTc; calculated using Bazett’s formula, QTc = QT / [previous RR interval]1/2) but declined genetic testing, and 2 victims of sudden cardiac death, whose DNA was not available, were presumably affected (shown with shaded symbols in Figure 1). The proband of the family G (II:2) carried the SCN5A mutation V1098L on the opposite allele, but otherwise no compound mutations (SCN5A or other LQTS genes) were observed. Among 41 carriers, 9 had episodes of syncope (n = 8) or unexplained palpitations (n = 1), but the remaining 32 individuals (78%) were asymptomatic. The QTc interval (mean ± SD) measured from the resting 12-lead ECG of all mutation carriers (living probands and family members) was 485 ± 30 ms, which was significantly longer (P < 0.001) than the 402 ± 31 ms measured in the noncarriers. There was no significant difference in the QTc interval between male (493 ± 31 ms, n = 18) and female carriers (479 ± 28 ms, n = 23). The QTc penetrance, defined as the percentage of mutation carriers with abnormally long QTc interval at presentation (>440 ms for men and >460 ms for women), was 93% (18 men, 20 women), indicating a highly penetrant LQT3 mutation. Administration of mexiletine shortened the QTc in 10/10 individuals tested, as previously demonstrated in other LQT3 mutation carriers (6). Mexiletine did not unmask or exacerbate Brugada-type ST elevation.
Spontaneous ST elevation in the right precordial leads was observed in 5/41 mutation carriers (Figure 1; coved-type, n = 1; saddleback type, n = 4; Figure 2A). Nine mutation carriers without diagnostic ST elevation at baseline underwent provocation with flecainide, ajmaline, or pilsicainide, and the test was positive (coved-type ST elevation; Figure 2B) in 5 (Figure 1). The 4 mutation carriers with a negative provocation test (A;II:3, E;I:2, E;II:2, and N;II:1) were not rechallenged. Thus, the diagnosis of BrS was established in 9/41 mutation carriers (1 individual, A;II:1, showed spontaneous saddleback ST elevation, which was converted to coved-type by ajmaline). None of the noncarriers displayed a Brugada-type ECG.
Sinus bradycardia and atrial standstill have also been associated with other SCN5A mutations (7, 11, 15–18), and sinus bradycardia was first reported in 1980 in LQTS patients who were subsequently found to be carriers of ΔKPQ (19). Sinus node dysfunction was common in our cohort, presenting in 16/41 mutation carriers (Figure 2C), and 4 of these 16 carriers with sinus node dysfunction also exhibited the BrS phenotype (Figure 2, B and D). Moreover, one carrier (A;III:5) showed sinus node dysfunction without manifesting QT prolongation or ST elevation. Four patients received a permanent pacemaker, and another 4 received an implantable cardioverter defibrillator.
Biophysical properties and membrane trafficking of E1784K.
Figure 3A illustrates representative whole-cell current traces from cells expressing WT or E1784K Na channels in the presence of coexpressed human β1 subunit. Peak current density of the E1784K channel was approximately 40% less than the that of the WT channel (WT, 138.2 ±13.0 pA/pF, n = 25; E1784K, 82.3 ± 8.2 pA/pF, n = 13; P < 0.005) (Figure 3B). Cell capacitance of WT and E1784K was comparable. In addition, peak Na current occurred at more positive potentials (+14 mV) with the mutant channel than with the WT channel. However, the E1784K channel showed an increased level of tetrodotoxin-sensitive (TTX-sensitive) persistent current, a hallmark biophysical abnormality of LQT3 (Figure 3C). The density of the persistent current of E1784K after 200 ms of depolarization at –20 mV was 3.5-fold larger than that of WT (WT, 0.44 ± 0.07 pA/pF, n = 15; E1784K, 1.53 ± 0.22 pA/pF, n = 10; P < 0.001) and was abolished by 30 μmol/l TTX (Figure 3C). Furthermore, macroscopic current decay was faster for E1784K than for WT. Double exponential curve fitting (see Methods) revealed that the fraction of the slow inactivating component (As) was significantly smaller and the time constants of both the fast and slow inactivating components (τf, τs) were significantly smaller in E1784K compared with WT at most test-pulse voltages between –50 mV and 30 mV (Figure 3D). These results demonstrate that the E1784K channels display an enhanced onset of fast inactivation (faster current decay), as well as destabilized fast inactivation (increased persistent current), probably due to the fluctuation of the channel between normal and non-inactivating gating modes (2). These results are responsible for the QT prolongation phenotype.
The voltage dependence of steady-state inactivation for E1784K was abnormal because of a large (–15.0 mV) hyperpolarizing shift (half-maximal voltage [V1/2]: WT, –86.8 ± 1.1 mV, n = 25; E1784K, –101.8 ± 1.3 mV, n = 17; P < 0.001) (Figure 4A). The steady-state inactivation curves (left curves of Figure 4A) predicted decreased channel availability, a hallmark of BrS/SSS. For example, at a prepulse potential of –90 mV, which is close to the resting membrane potential of ventricular myocytes, 58.6% ± 3.5% of WT channels were available, but this was significantly attenuated in E1784K channels (17.8% ± 3.1%). Another important potential contributor to the BrS/SSS phenotype was a significant shift in the voltage dependence of activation of E1784K by +12.5 mV (V1/2: WT, –49.7 ± 1.1 mV, n = 32; E1784K, –37.2 ± 0.9 mV, n = 13; P < 0.001). For example, conductance elicited by a depolarizing pulse of –30 mV to the maximum conductance was 0.93 ± 0.05 in WT channel but was only 0.66 ± 0.02 in E1784K channel. Both the negative shift of steady-state inactivation and the positive shift of activation reduced channel availability and conductance, respectively, and thus were predicted to decrease Na current during the upstroke of the action potential, the key features of BrS. Slope factors for inactivation were comparable (WT, 6.93 ± 0.23 mV; E1784K, 7.09 ± 0.12 mV), but slope factors of activation were significantly larger in E1784K (WT, –6.08 ± 0.26 mV; E1784K, –8.06 ± 0.20 mV; P < 0.001), indicating that the activation in E1784K was less voltage sensitive (Figure 4A).
The proportion of channels available depends on the extent of recovery from inactivation. Recovery from fast inactivation was assessed by a standard double-pulse protocol using a recovery potential of –120 mV, and there was no difference between WT and E1784K in the time constants for inactivation and the fractions of fast or slow recovery components (Figure 4B). Some mutant Na channels, including 1795insD (10) and T1620M (20), have been reported to display defects in the kinetics of or recovery from a “slower” inactivation process, sometimes referred to as IM, and this defect is recognized as an important biophysical feature in some cases of BrS (21). This may explain the greater reduction in Na channel availability during excitation in LQT3 patients with 1795insD (10) compared with those with ΔKPQ. We therefore analyzed the onset of IM by varying prepulses of 1 ms to 2 s followed by a brief hyperpolarization to allow channels to recover from fast inactivation prior to a final test pulse. Double exponential curve fitting revealed that the amplitude of the fraction of the fast inactivating component (Af) was significantly larger in E1784K (WT, 0.12 ± 0.02, n = 10; E1784K, 0.20 ± 0.02, n = 12; P < 0.005), and τs was significantly smaller in E1784K (WT, 1883 ± 669 ms; E1784K, 554 ± 101 ms; P < 0.05). Other parameters were comparable between WT and E1784K; (As: WT, 0.24 ± 0.04; E1784K, 0.19 ± 0.01; P = NS; τf: WT, 6.6 ± 3.5 ms; E1784K, 1.3 ± 0.2; P = NS; constant value A∞: WT, 0.64 ± 0.04; E1784K, 0.60 ± 0.01; P = NS). These data show that the extent of IM was significantly enhanced in E1784K similar to 1795insD (10), and provide a further mechanism for the reduced channel availability.
Another possible pathophysiological mechanism underlying the reduced peak Na current responsible for Brugada-type ST elevation in LQT3 is failure of mutant channel proteins to be properly trafficked to the cell surface (22, 23). To test this concept, an extracellular FLAG epitope was introduced in both WT and E1784K channels, and their cellular distribution was determined by a confocal laser scanning microscopy in tsA-201cells. As depicted in the xz and yz sections of Figure 4D, the distributions of anti-FLAG antibody were predominantly expressed in the plasma membrane and indistinguishable between WT and E1784K with or without coexpression of β1 subunit (that has been implicated as a modulator of cell surface expression; ref. 24). Figure 4E shows the quantitative analysis of the fluorescent intensity in the membrane divided by the fluorescence intensity of entire cell area measured from 10 to 13 cells. Fluorescence intensity in the membrane was comparable between WT and E1784K regardless of the coexpressed β1 subunit (WT, 71.5 ± 3.5%, n = 12; E1784K, 72.9 ± 2.0%, n = 10; WT + β1, 71.1 ± 2.2%, n = 13; E1784K + β1, 68.4 ± 1.6%, n = 12; P = NS). Thus our immunocytochemical analyses provide strong evidence that the loss-of-function properties displayed by E1784K are most likely attributable to the observed changes in current gating rather than a change in channel density.
Molecular mechanisms of enhanced flecainide sensitivity.
Class IC Na channel blockers generated the BrS phenotype in 5 of 9 patients challenged. We therefore investigated tonic block and use-dependent block (UDB) by flecainide in WT and E1784K channels expressed in tsA-201 cells, and compared them with those of T1304M, a mutation that did not show ST elevation during the flecainide challenge test (13). Cells transfected with WT, E1784K, or T1304M were depolarized by 2-Hz pulse trains at –20 mV for 20 ms from the holding potential of –120 mV in the absence or presence of 10 μmol/l flecainide. Under drug-free conditions, peak current reduction after the 100 pulses was less than 2% of the peak current for WT, E1784K, and T1304M. During exposure to 10 μmol/l flecainide, peak currents normalized to predrug baseline were progressively reduced by the repetitive pulses (Figure 5, A and B). There was a remarkable difference in the extent of first pulse (tonic) block that was only 4.5% ± 4.0% for WT (n = 5), and 7.1% ± 2.7% for T1304M (n = 5, P = NS), compared with substantial tonic block in E1784K (43.7% ± 8.0%, n = 5, P < 0.001). Conversely, UDB, determined by the difference in peak current values between the first and hundredth test pulses relative to the first pulse, was slightly attenuated in E1784K (WT, 43.4% ± 3.0%; E1784K, 32.0% ± 2.2%; P < 0.05), but not in T1304M (36.9% ± 2.7%; P = NS) (Figure 5C). The net effect of flecainide after a train of 100 pulses was significantly greater in E1784K than WT (WT, 45.5% ± 5.0%; E1784K, 61.8% ± 2.5%; P < 0.001) but not in T1304M (41.2% ± 3.2%; P = NS). This attenuated flecainide UDB in E1784K is in striking contrast to that reported for 1795insD (12) and ΔKPQ (25), which showed enhancement in both tonic and use-dependent flecainide block. UDB is profoundly affected by the recovery from drug block, and delayed recovery from flecainide block has been implicated in the augmented flecainide sensitivity in 1795insD (12) and ΔKPQ (25). Accordingly, we evaluated recovery from flecainide block using the protocol shown in the inset of Figure 5D. Cells were initially subjected to 50 pulses (–20 mV for 20 ms) from a holding potential of –150 mV at 10 Hz in the presence of 30 μmol/l flecainide, followed by a variable recovery time (Δt) and a test pulse of –20 mV. Recovery from flecainide block was virtually identical among all 3 channels, compatible with the observation that the drug-free recovery from inactivation of WT and E1784K were comparable (Figure 4B). Taken together, these results indicate that the E1784K channels are much more sensitive to block by flecainide than are the WT and T1304M channels, and that this augmented sensitivity is attributable to enhanced tonic block rather than a change in UDB.
If the extent of tonic block roughly parallels the voltage dependence of availability of drug-free channels, then the difference between WT and E1784K should be attenuated when cells are depolarized from a very negative holding potential, where the channels will be similarly available (Figure 4A). At a holding potential of –150 mV, the magnitude of flecainide tonic block was diminished in both WT and E1784K, but tonic block at –150 mV was still greater in E1784K (Figure 6A). Dose-response curves for flecainide block measured at a holding potential of –150 mV (thus representing drug affinity for the resting state) are shown in Figure 6B. The E1784K channels were 7.5-fold more sensitive to resting-state block by flecainide than were the WT channels (IC50: WT, 150.3 μmol/l; E1784K, 20.4 μmol/l).
The diminished UDB in E1784K may be attributable to reduced flecainide affinity for inactivated channels. To test this idea, flecainide affinity for the inactivated state was measured as previously described (26). Steady-state channel availability was determined in the presence or absence of 30 μmol/l flecainide by using 500 ms prepulses ranging from –150 to –60 mV to ensure a steady state before the test pulse (Figure 6C). The apparent dissociation constant for the inactivated channels (KI) was calculated using Bean’s equation (27). KI values for flecainide of WT and E1784K were comparable (WT, 7.1 μmol/l; E1784K, 5.4 μmol/l). These results suggest that the enhanced sensitivity to flecainide of the E1784K is explained mainly by gating-dependent mechanisms of the mutant channel (i.e., enhanced inactivation), but increased drug affinity to resting-state channels may also be involved.
Spectrum of SCN5A dysfunction in LQT3 associated with BrS and sinus node dysfunction.
There are several possible loss-of-function properties of the Na channel that have been linked to the BrS phenotype. These include a negative shift of steady-state inactivation (which includes enhanced closed-state inactivation) (12), a positive shift of activation, faster current decay, enhanced slow inactivation (20), slower recovery from inactivation, a trafficking defect of the channel molecule (22), and enhanced sensitivity to Na channel blockers.
To explore the functional determinants for the phenotypic overlap of BrS in LQT3 patients, we compared the biophysical and pharmacological properties of reported LQT3 mutations and sought features commonly and specifically observed in those manifesting a BrS phenotype (Table 1). The overlapping phenotype (LQT3 and BrS) has been previously reported for 1795insD (10, 11), ΔKPQ (13, 14), ΔK1500 (15), and E1784K (13). In contrast, a carrier of T1304M did not show ST elevation during a flecainide test (13). Similarly, sinus node dysfunction has been reported in carriers of the same SCN5A mutations, 1795insD (28), ΔKPQ (16), ΔK1500 (15), E1784K (17), and D1790G (7), but not in other SCN5A mutations, including T1304M. Thus, it is plausible to speculate that the biophysical characteristics common to these mutations but not found in T1304M are channel properties responsible for evoking mixed phenotypes of BrS and sinus node dysfunction in patients with LQT3. To this end, Table 1 compares the functional properties of E1784K and those reported for 1795insD, ΔKPQ, ΔK1500, E1784K, and T1304M (29). Because inconsistency with the gating properties of ΔKPQ has been noted among several reports, we reevaluated this mutant under conditions identical to those we used for E1784K. Consistent with the initial report by Bennett et al. (2), steady-state inactivation of ΔKPQ was significantly shifted in the negative direction by –8.9 mV (V1/2 = –95.7 ± 1.1 mV, n = 7) compared with WT, and activation was significantly shifted in the positive direction (V1/2 = –34.9 ± 0.9 mV, n = 7), similar to E1784K. Among the biophysical properties listed in Table 1, we found that both the negative shift in steady-state inactivation and the enhanced tonic block by flecainide are common to 1795insD, ΔKPQ, ΔK1500, and E1784K, but not to T1304M. This negative shift of inactivation will reduce the availability of the channels at the resting membrane potential and increase the proportion of inactivated channels in both the open and closed states, reducing Na current and increasing the sensitivity to Na channel blockers. A positive shift in activation is another loss-of-function property evident in all the mutants including T1304M, making it less likely that this specific channel property underlies mixed clinical phenotypes in LQT3. Other channel properties such as current decay, recovery from inactivation, slow inactivation, or UDB were not common among 1795insD, ΔKPQ, ΔK1500, and E1784K.
Table 1 .
Discussion
The main findings of this study are that the SCN5A mutation, E1784K, was found in 34% of LQT3 probands and showed overlapping clinical phenotypes of BrS and sinus node dysfunction in patients from different genetic backgrounds. In vitro functional characterization of this mutation and comparison to properties reported for other LQT3 variants suggest that a negative shift of steady-state Na channel inactivation and enhanced tonic block in response to Na channel blockers confer an additional BrS/sinus node dysfunction phenotype.
E1784K was originally reported by Wei et al. (17) and subsequently by several other groups (13, 30–32). Other groups have also indicated that this is a common LQT3 mutation. Napolitano et al. previously reported that E1784K is a “non-private” LQT3 mutation (i.e., that it occurred more than once in their LQTS population) (33). Similarly, in genetic screening of 541 unrelated LQTS patients, Tester et al. demonstrated that E1784K was the most prevalent LQT3 mutation (4/26, 15.4%) (32).
Na channel blocker therapy is widely used in LQT3 because of block of persistent Na current during repolarization (34). However, these agents, especially class IC drugs, also unmask or exacerbate ST elevation in BrS. Despite this apparent divergence of Na channel blocker action, some LQT3 patients display ST elevation characteristic of BrS spontaneously (10–12) or during class IC drug therapy (13, 14). The results of the present study indicate that the BrS/LQT3 overlap is not likely to reflect coinherited genetic variations, gender, or ethnicity and thus implicate the biophysical properties of specific mutant channels as the primary mediator of this mixed phenotype. Furthermore, this overlapping phenotype appears to be more common than generally recognized because it is observed in E1784K (a prevalent mutation), as well as other LQT3 mutations (1795insD, ΔKPQ, ΔK1500). These observations have raised a concern about the safety of class IC drug therapy in LQT3 patients (13) and prompted us to examine in more detail the underlying mechanisms of drug-induced block in Na channels with these mutations.
The mutation 1795insD (10–12), which produces an overlapping phenotype, generates a wide range of biophysical abnormalities, including a negative shift in inactivation, enhanced slow inactivation, and delayed recovery from inactivation in addition to the hallmark LQT3 abnormality of non-inactivating persistent Na current (12). This negative shift of steady-state inactivation, which is compatible with enhanced closed-state inactivation, tends to increase the proportion of the inactivated channels at the resting potential and thus augments tonic block by flecainide. This property, as well as increased persistent current, is commonly observed in the 3 other LQT3 mutations associated with BrS and sinus node dysfunction (E1784K, ΔKPQ, and ΔK1500). However, T1304M, which is not associated with BrS or sinus node dysfunction, shows a positive shift of steady-state inactivation (Table 1).
Enhanced slow inactivation and UDB, which are thought to underlie the phenotype produced by T1620M (20), a “BrS-only” (non-LQT3) mutation, have also been reported with 1795insD (12). Although slow inactivation was enhanced in E1784K (Figure 4C), and UDB was enhanced in ΔKPQ (25), these characteristics are not common among the 4 mutations with LQT3/BrS overlap. Indeed, UDB by flecainide was diminished in E1784K (Figure 5, A–C). These findings suggest that slow inactivation or use-dependent inactivation is not the principal mechanism for the BrS-type ST elevation in LQT3.
In addition to right precordial ST elevation, a secondary phenotype of sinus node dysfunction has been reported in 4 SCN5A mutations (E1784K, 1795insD, ΔKPQ, and ΔK1500). Although the functional relevance of Na channels in sinus nodal pacemaker function has been debated, there is evidence for Na current in the sinus node periphery (35), and other TTX-sensitive Na channels may contribute (36). Patch clamp and computer simulation studies of 1795insD have demonstrated that the negative shift of inactivation reduces Na current during diastolic depolarization; also, the persistent Na current increases action potential duration, leading to a slowing of sinus rate (28). A negative shift in inactivation is observed in E1784K, 1795insD, ΔKPQ, and ΔK1500 and may play a role in the overlap of the LQT3 clinical phenotype with BrS and sinus node dysfunction in the mutation carriers. In summary, a negative shift in inactivation and enhanced tonic block are common biophysical properties observed among SCN5A mutations with the LQT3/BrS overlapping phenotype. These findings suggest that prophylactic class IC drugs should be avoided in LQT3 mutations displaying these biophysical properties in vitro.
Because this was a multicenter study, the Na channel blockers used for provocation testing were not the same. In addition, 4 patients challenged with flecainide did not display right precordial ST elevation; this negative flecainide test in 1 individual could have been due to variable efficacy of Na channel blockers or day-to-day variability in autonomic tone (37). While a negative shift in steady-state inactivation appears to be a common biophysical property among LQT3 mutations (including E1784K) displaying the mixed phenotype, the number of LQT3 mutations that have been evaluated in this detail is still small. Moreover, biophysical and pharmacological properties presented in tsA-201 cells may not necessarily reflect the situation in vivo, and the effects of the mutation may be different in ventricular myocytes compared with sinus node cells. Thus, further studies that combine clinical and in vitro phenotyping in LQT3 mutations with and without overlapping clinical phenotypes will be required to confirm the findings of the present study.
E1784K is the most common LQT3 mutation. In patients with this and other LQT3 mutations, overlap with BrS and sinus node dysfunction is relatively common. Our in vitro studies with E1784K and previous reports in LQT3 mutations with and without this clinical overlap syndrome implicate a negative shift in inactivation and enhanced tonic block by drugs as underlying mechanisms. These data suggest that patients with LQT3 mutations displaying these characteristics in vitro should not receive class IC drugs. Furthermore, the present findings reinforce the general concept that in vitro characterization of the function of ion channel variants is a key component in generating specific therapeutic strategies for patient management.
Methods
Clinical evaluation
The study population included 44 genotyped LQT3 families with different ethnic backgrounds (20 Asian, 24 Caucasian) ascertained from a total of 7 institutions (Japan, n = 3; USA, England, Italy, and Germany, n = 1 each). In these families, E1784K (c. 5350C→A) was the most prevalent SCN5A mutation (n = 15; 34%). The mean age of the probands (10 men, 5 women) was 22 ± 11 years at diagnosis (mean ± SD, ranging from 7 to 43 years). Two probands died suddenly (A;II:6 and C;III:1; Figure 1), one at rest and the other whilst driving a car. In both cases, no ante mortem data was available and an autopsy could not establish a cause of death. The 15 families were comprised of 93 surviving members, of whom 66 underwent genetic testing. Family members underwent physical examination, ECG, exercise stress test, and Holter recording. The diagnosis of LQTS in the probands, or in the family members if probands died suddenly before evaluation, was established using the revised criteria suggested by Schwartz (8). Na channel blocker challenge was conducted using mexiletine (2 mg/kg), flecainide (2 mg/kg), ajmaline (1 mg/kg), or pilsicainide (1 mg/kg) administered intravenously, with positive (coved) and negative responses determined using standard 12-lead ECGs, as previously described (38).
Sinus node dysfunction was considered if one of the following conditions was recorded at one or more occasions when inappropriate for the circumstances: (a) sinus bradycardia, (b) sinus arrest or exit block, and (c) combinations of sinoatrial and atrioventricular conduction disturbances; these bradyarrhythmias often occurred in conjunction with paroxysmal atrial tachyarrhythmias (39).
Genetic analysis
All probands and family members who participated in the study gave written informed consent before the genetic and clinical investigations, in accordance with the standards of the Declaration of Helsinki and local ethics committees. Genetic analysis was performed on genomic DNA extracted from peripheral white blood cells using standards methods. Coding regions of KCNQ1, KCNH2, SCN5A, KCNE1, and KCNE2 were amplified by PCR using exon-flanking intronic primers (31, 40), and direct DNA sequencing was performed using ABI 310, 3130, and 3730 genetic analyzers (Applied Biosystems) (17). In some cases, denaturing high-performance liquid chromatography with the Transgenomic Wave Instrument (Transgenomic Inc.) was applied for the screening of polymorphisms prior to direct sequencing.
Construction of expression plasmids and transfection of mammalian cell lines.
A 0.5-kb HindIII/XhoI fragment (5′ cloning site – nt. 533) and a 1.6-kb BstEII/XbaI fragment (nt. 4626 – 3′ cloning site) of WT human heart Na channel α subunit (Nav1.5) were subcloned into the pBluescript II SK+ plasmid (Stratagene) for the mutagenesis to generate the FLAG-tagged channel and E1784K, respectively. Site-directed mutagenesis was performed by QuikChange site-directed mutagenesis kit (Stratagene) according to the manufacturer’s instructions. A FLAG-tagged Nav1.5 plasmid was constructed by inserting the FLAG (DYKDDDK) epitope in frame at the extracellular loop of the domain 1 between Pro154 and Pro155. The FLAG-tag did not change the current densities or the gating properties of Nav1.5 (data not shown). Final constructs were assembled in the mammalian expression plasmid pcDNA3.1+ (Invitrogen) and then sequenced to verify creation of mutation and exclude polymerase errors. The plasmids encoding ΔKPQ and T1304M were constructed as previously described (2, 29). The human cell line tsA-201 was transiently transfected with WT, E1784K ΔKPQ, or T1304M plasmid using Lipofectamine (Invitrogen) or SuperFect (Qiagen) in combination with a bicistronic plasmid (pCD8-IRES-hβ1) encoding CD8 and the human Na channel β1 subunit (hβ1) to visually identify cells expressing heterologous hβ1 with Dynabeads M-450 CD8 (Dynal) (41). Electrophysiological measurements were performed 24–72 h after transfection.
Electrophysiology and data analysis.
Na currents were recorded using the whole-cell patch clamp technique as previously described (41). Electrode resistance ranged from 0.8 to 1.5 MΩ. Data acquisition was carried out using an Axopatch 200B patch clamp amplifier and pCLAMP8 software (Axon Instruments). Currents were filtered at 5 kHz (–3 dB; 4-pole Bessel filter) and digitized using an analog-to-digital interface (Digidata 1322A; Axon Instruments). Experiments were carried out at room temperature (20–22°C). Voltage errors were minimized using series resistance compensation (generally 80%). Cancellation of the capacitance transients and leak subtraction were performed using an online P/4 protocol. The pulse protocol cycle time was 10 s unless otherwise stated. The data were analyzed using Clampfit 10 (Axon Instruments) and SigmaPlot 9 (SPSS Science). The holding potential was –120 mV unless otherwise stated. The bath solution contained (in mmol/l): 145 NaCl, 4 KCl, 1.8 CaCl2, 1 MgCl2, 10 HEPES, and 10 glucose, pH 7.35 (adjusted with NaOH). The pipette solution (intracellular solution) contained (in mmol/l): 10 NaF, 110 CsF, 20 CsCl, 10 EGTA, and 10 HEPES, pH 7.35 (adjusted with CsOH). The time from establishing the whole-cell configuration to onset of recording was consistent cell-to-cell to exclude the possible time-dependent shift of steady-state inactivation.
To determine activation parameters, the current-voltage relationship was fit to the Boltzmann equation I = (V – Vrev) × Gmax × (1 + exp[V – V1/2] / k)–1, where I is the peak Na current during the test pulse potential V. The parameters estimated by the fitting are Vrev (reversal potential), Gmax (maximum conductance), and k (slope factor). Steady-state availability for fast inactivation was measured with a standard double-pulse protocol (Figure 4A, inset), and the data were fit with the Boltzmann equation I/Imax = (1 + exp[(V – V1/2) / k])–1, where Imax is the maximum peak Na current, to determine the membrane potential for V1/2 and k. Macroscopic current decay was analyzed by fitting data with a double exponential equation: I/Imax = A∞ + Af × exp(–t/τf) + As × exp(–t/τs), where A∞ and t are constant value and time, respectively; Af and As are fractions of fast and slow inactivating components, respectively; and τf and τs are time constants of Af and As, respectively. Recovery from inactivation was assessed by the double-pulse protocol (Figure 4B, inset) and was analyzed by fitting the data to a double exponential equation: I/Imax = A∞ + Af × exp(–t/τf) + As × exp(–t/τs). The onset of slow inactivation was measured by the double-pulse protocol shown in the inset of Figure 4C. A brief repolarization pulse was applied to allow most channels to recover from fast inactivation, and the data were fit with biexponential functions.
In some experiments, cells were superfused with bath solution containing flecainide or TTX to determine their pharmacological effects. During the superfusion, cells were held at –120 mV unless otherwise stated. Tonic block was defined as a diminution in the peak Na current of the first depolarizing pulse after the exposure to the drug compared with that in the control, and UDB as a diminution in the peak Na current of the hundredth pulse compared with that of the first pulse after the drug. Flecainide (acetate salt) was made up in a 10 mmol/l stock solution and diluted in a bath solution, and data were recorded after 3-min periods for drug equilibration. All the chemicals were purchased from Sigma-Aldrich or Wako, except for flecainide and mexiletine, which were gifts from Eisai and Nippon Boehringer Ingelheim, respectively.
Immunocytochemistry.
TsA-201 cells were transfected with the pcDNA3.1+Nav1.5 plasmid encoding either WT or E1784K together with or without pCD8-IRES-hβ1. Two days later, cells were incubated with Dynabeads M-450 CD8 (Dynal) for 30 min at 37°C to identify the cells expressing both hβ1 and CD8. The cells were then washed with PBS (pH 7.4), fixed in PBS containing 2% formaldehyde for 30 min at 4°C, and permeabilized with 0.05% Triton X-100 for 30 min at 4°C. After blocking with PBS containing 4% BSA for 1 h at room temperature, the cells were stained with anti-FLAG M2 monoclonal antibody (Sigma-Aldrich) for 1 h at room temperature. Protein reacting with antibody was visualized with Alexa Fluor 488–labeled secondary antibody (Molecular Probes). Optical sections of Alexa Fluor 488 were obtained with a FluoView FV1000 confocal laser scanning microscope (Olympus Corp.) with a ×60 oil immersion objective lens. To quantify the membrane expression of Nav1.5, fluorescence intensity at the entire cell area and the plasma membrane region in the middle xy image of z series stack was measured using MetaMorph 6.1 software (Molecular Devices).
Statistics.
Results are presented as means ± SEM unless otherwise stated, and statistical comparisons were made using ANOVA with the Dunnett post-hoc test to evaluate the significance of differences between means. Statistical significance was assumed for P < 0.05.
Acknowledgments
This work was supported in part by grants from MEXT Japan (18590757 to N. Makita and 14370225, 16209025, and 19390212 to M. Horie); the Ministry of Health, Labour and Welfare, Japan (H18-Research on Human Genome-002 to N. Makita, W. Shimizu, and M. Horie; Research on Nanotechnical Medical, H19-nano-006 to N. Mochizuki); the Uehara Memorial Foundation (to W. Shimizu); the Program for the Promotion of Fundamental Studies in Health Sciences of the National Institute of Biomedical Innovation (to N. Mochizuki); the US Public Health Service (HL49989 and HL46681 to D.M. Roden, HL65962 to A.L. George Jr. and D.M. Roden, and HL33843 to L. Crotti and P.J. Schwartz); the Collaborative Research Effort (SFB, project C1) of the DFG (to E. Schulze-Bahr); the DFG (DFG Schu1082/3-1 and 3-2 to E. Schulze-Bahr); and the Fondation Leducq (to E. Schulze-Bahr). We thank M. Fukuoka, K. Kawai, and N. Ohashi for technical assistance.
Footnotes
Nonstandard abbreviations used: Af, fraction of the fast inactivating component; As, fraction of the slow inactivating component; BrS, Brugada syndrome; LQT3, type 3 LQTS; LQTS, long QT syndrome; QTc, rate-corrected QT interval calculated using Bazett’s formula; SSS, sick sinus syndrome; τf, time constant of the fast inactivating component; τs, time constant of the slow inactivating component; TTX, tetrodotoxin; UDB, use-dependent block; V1/2, half-maximal voltage.
Conflict of interest: The authors have declared that no conflict of interest exists.
Citation for this article: J. Clin. Invest. 118:2219–2229 (2008). doi:10.1172/JCI34057
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