Abstract

Aims

Short QT syndrome type 3 (SQTS3) is a rare arrhythmogenic disease caused by gain-of-function mutations in KCNJ2, the gene coding the inward rectifier potassium channel Kir2.1. We used a multidisciplinary approach and investigated arrhythmogenic mechanisms in an in-vivo model of de-novo mutation Kir2.1E299V identified in a patient presenting an extremely abbreviated QT interval and paroxysmal atrial fibrillation.

Methods and results

We used intravenous adeno-associated virus-mediated gene transfer to generate mouse models, and confirmed cardiac-specific expression of Kir2.1WT or Kir2.1E299V. On ECG, the Kir2.1E299V mouse recapitulated the QT interval shortening and the atrial-specific arrhythmia of the patient. The PR interval was also significantly shorter in Kir2.1E299V mice. Patch-clamping showed extremely abbreviated action potentials in both atrial and ventricular Kir2.1E299V cardiomyocytes due to a lack of inward-going rectification and increased IK1 at voltages positive to −80 mV. Relative to Kir2.1WT, atrial Kir2.1E299V cardiomyocytes had a significantly reduced slope conductance at voltages negative to −80 mV. After confirming a higher proportion of heterotetrameric Kir2.x channels containing Kir2.2 subunits in the atria, in-silico 3D simulations predicted an atrial-specific impairment of polyamine block and reduced pore diameter in the Kir2.1E299V-Kir2.2WT channel. In ventricular cardiomyocytes, the mutation increased excitability by shifting INa activation and inactivation in the hyperpolarizing direction, which protected the ventricle against arrhythmia. Moreover, Purkinje myocytes from Kir2.1E299V mice manifested substantially higher INa density than Kir2.1WT, explaining the abbreviation in the PR interval.

Conclusion

The first in-vivo mouse model of cardiac-specific SQTS3 recapitulates the electrophysiological phenotype of a patient with the Kir2.1E299V mutation. Kir2.1E299V eliminates rectification in both cardiac chambers but protects against ventricular arrhythmias by increasing excitability in both Purkinje-fiber network and ventricles. Consequently, the predominant arrhythmias are supraventricular likely due to the lack of inward rectification and atrial-specific reduced pore diameter of the Kir2.1E299V-Kir2.2WT heterotetramer.

Time for primary review: 55 days

See the editorial comment for this article ‘Atrial fibrillation in the young: consider heritable conditions like short QT syndrome’, by L. Fabritz and M.D. Lemoine, https://doi.org/10.1093/cvr/cvae041.

1. Introduction

Short QT syndrome (SQTS) is a rare, highly lethal inheritable disease characterized by an abnormally short QT interval on the electrocardiogram (ECG) and an increased risk for atrial- and ventricular fibrillation (AF/VF), and sudden cardiac death (SCD).1–3 To date, less than 250 cases in nearly 150 families have been diagnosed worldwide, all during the last decades.1,3 Despite their heterogeneous phenotype, SQTS patients can manifest palpitations, cardiac arrest, syncope, or AF.4

SQTS is considered a disease with an autosomal dominant inheritance. However, only 20–30% of patients with SQTS have an identifiable mutation.5,6 To date, only four genes encoding potassium channels (KCNQ1, KCNH2, and KCNJ2) and the chloride-bicarbonate exchanger AE3 (SLC4A3) have been clearly associated with pathogenic SQTS.7–9 However, we still lack detailed information about the factors responsible for the relative malignancy and specific arrhythmogenic mechanisms of each of the known mutations.

SQTS type 3 [SQTS3 (OMIM 609622)] is caused by KCNJ2 gain-of-function mutations.10,11 The KCNJ2 gene encodes the strong inward rectifier potassium channel Kir2.1 responsible for IK1.12 Outward currents through Kir2.x channels regulate the resting membrane potential (RMP), the threshold for excitation, and the final phase of action potential (AP) repolarization.12,13 Among the SQTS3 causative mutations, Kir2.1E299V (c.896A > T) was identified in an 11-year-old boy with an extremely abbreviated QT interval (200 ms) and paroxysmal AF, but without ventricular arrhythmias despite mild left ventricular dysfunction (possibly due to the rapid AF rate).14 The defects caused by Kir2.1E299V were studied in a heterologous expression system.14 While valid, the approach precluded investigating arrhythmogenic mechanisms in the complex cardiac environment. Importantly, glutamic acid at position 299 is highly conserved in Kir2.1 channels among species.10 It is located at the cytoplasmic domain and, together with other negatively charged residues, forms the inner vestibule of the channel pore, which determines the strength of inward IK1 rectification.15,16 Inward rectification is attributed to a voltage-dependent blockade of outward current by internal Mg2+ and polyamines (spermine, spermidine, and putrescine).17 In Kir2.1 channels, rectification is regulated by two different negatively charged regions, one in the transmembrane domain, involving D172, and the other in the cytoplasmic region, involving E224, D255, D259, and E299.18 Polyamines are important in aging, cancer, and other diseases, but induction of inward rectification is likely their most important function.19 However, to our knowledge, polyamines have never been used to investigate SQTS3 mechanisms or SCD, and it is unknown whether they have a role in linking channel dysfunction to arrhythmias.

On the other side, Kir2.1 interacts with the cardiac voltage-gated sodium channel NaV1.5 forming channelosomes from early stages of their common trafficking pathway, and both channels regulate each other’s function.20 Trafficking-deficient mutations in one of these channels reduce the surface expression and current density of the other.21–25 However, it is unknown whether gain-of-function mutations in one or the other channel modify such interactions or result in unforeseen electrical remodelling mediated by changes in other interacting proteins.

Here, we report on the first in-vivo mouse model of cardiac-specific SQTS3 mimicking the electrophysiological phenotype of a patient with the Kir2.1E299V mutation. A clear consequence of the mutation was the extreme atrial and ventricular AP and QT interval shortening due to the loss of polyamine-mediated inward-going rectification. However, unlike the atria, the gain-of-function of this Kir2.1 mutation increased excitability and protected against arrhythmia inducibility in the ventricles. Therefore, like in the patient, the predominant arrhythmias were supraventricular, including atrial tachycardia and AF.

2. Methods

Detailed descriptions are provided in the Supplementary material online.

2.1 Study approval

All experimental procedures using animals conformed to EU Directive 2010/63EU and Recommendation 2007/526/EC, enforced in Spanish law under Real Decreto 53/2013. They were approved by the local ethics committees and the Animal Protection Area of the Comunidad Autónoma de Madrid (PROEX 111.4/20).

2.2 Mice

Four-week-old C57BL/6J male mice were obtained from Charles River Laboratories. Mice were reared and housed in accordance with institutional guidelines and regulations.

2.3 Adeno-associated virus (AAV) production, injection, and mouse models generation

Vectors encoding wildtype (WT) Kir2.1 (Kir2.1WT) or the SQTS3 Kir2.1 mutant (Kir2.1E299V) were packaged into adeno-associated virus (AAV) serotype 9 (AVV9) capsids.26–29 After anaesthesia (Ketamine 60 mg/kg and Xylazine 20 mg/kg i.p.), 4- to 5-week-old mice were administered 3.5 × 1010 viral genomes (vg) per animal i.v. in a final volume of 50μL.26,30 Mice were used for experiments at 15–25 weeks of age.

2.4 Echocardiography

Mice were anaesthetised with 0.5–2% Isoflurane in oxygen, and placed on a 37°C heating platform in the supine position. Transthoracic echocardiography was performed blindly by an expert operator using a high-frequency ultrasound system (Vevo 2100, VisualSonics Inc., Canada) with a 40-MHz linear probe, and analyzed blindly as described (see Supplementary material online).

2.5 Surface ECG recordings

Mice were anaesthetised with 0.8–1% Isoflurane in oxygen. A subcutaneous 23-gauge needle electrode connected to an MP36R amplifier (BIOPAC Systems) was attached to each limb, and six-lead surface ECGs were recorded for 5 min. We analyzed blindly the recordings using AcqKnowledge 4.1 software.

2.6 In-vivo intracardial electrophysiology

After anaesthesia (Ketamine 60 mg/kg and Xylazine 20 mg/kg i.p.), an octopolar catheter (Science) was inserted in the heart through the jugular vein.31,32 Refractory periods and arrhythmia inducibility were assessed in control and mutant mice.

2.7 Optical mapping in isolated hearts

Optical mapping experiments in Kir2.1WT and Kir2.1E299V mice were carried out blindly as previously described.33

2.8 Atrial and ventricular cardiomyocyte isolation

After cervical dislocation, the mouse heart was mounted on a Langendorff-perfusion apparatus, and the aorta was retrogradely perfused, as per Macías et al.34

2.9 HEK-293 T/HEK-NaV1.5 cells culture and transfection

We maintained human embryonic kidney (HEK) 293 T (ATCC number CRL-3216) and HEK-NaV1.5 cells (kindly provided by Dr. Carmen Valenzuela, CSIC-UAM Madrid) in Dulbecco's modified eagle medium supplemented with 10% fetal bovine serum, 1% penicillin/streptomycin and L-glutamine. We used 0.2% Zeocin to select NaV1.5 containing cells.35 We transfected these cells using JetPRIME transfection reagent (Polyplus).

2.10 Patch-clamping of cardiomyocytes and HEK cells

Whole-cell (current- and voltage-clamp), inside-out patch-clamping, and data analysis procedures were as described previously22–24,36,37 (see Supplementary material online). External and internal solutions are listed in Supplementary material online, Table S1.24,38

2.11 Immunohistochemistry/fluorescence

We used goat polyclonal anti-Tomato antibody (Sicgen, AB8181-200) and hematoxylin-eosin in 5–7µm-thick sections to analyze blindly mouse heart tissue structure and the level of AAV9 infection.

2.12 Immunofluorescence

Isolated cardiomyocytes were processed and incubated with primary and secondary antibodies specified in Supplementary material online, Tables S2 and S3. Images were acquired with a Leica SP8 confocal microscope.

2.13 Western blot and membrane fractionation

Whole hearts or specific cardiac chambers from control and mutant mice were excised and lysed using ice-cold radioimmunoprecipitation assay buffer. To measure Kir2.1 membrane protein levels in mouse cardiomyocytes, we followed manufacturer’s instructions (Abcam, ab65400). 25–80 µg of protein resolved in 5–10% SDS-PAGE gels. Antibodies are listed in Supplementary material online, Tables S4 and S5.

2.14 Quantitative real-time PCR (qRT-PCR)

Heart samples from uninfected, AAV9-Tomato, AAV9-Kir2.1WT, and AAV9-Kir2.1E299V mice were homogenized for RNA extraction. The resultant cDNA was analyzed by qRT-PCR using specific primers to amplify the desired genetic products (see Supplementary material online, Table S6).

2.15 In silico modelling

Protein data bank templates were generated from the Fast-All (FASTA) sequences of Kir2.1, Kir2.2, and Kir2.3.39 Comparative modelling was performed using the ROSETTA framework.40 The target sequences (FASTA format) including the E299V mutation were threaded onto the three-dimensional backbone of the template structures according to a multi-sequence alignment. See details in the Supplementary material online.

2.16 Statistical analysis

We used GraphPad Prism software versions 7.0 and 8.0, normal (Gaussian) distribution analysis (Shapiro–Wilk test), Grubb’s test for outliers, and Student’s t-test for comparisons. For non-Gaussian distributions, we applied the nonparametric Mann–Whitney test. We used one- or two-way analysis of variance (ANOVA) for comparison among more than two groups. Data are expressed as mean ± SEM, and differences are considered significant at P < 0.05 (*P < 0.05; **P < 0.01; ***P < 0.001; ****P < 0.0001). Note that ‘N’ refers to the number of mice or transfections used and ‘n’ to the number of cells analyzed per mice/transfection.

3. Results

3.1 Validation and characterization of mouse models

We generated mouse models of SQTS3 using AAV9. We confirmed cardiac-specific expression of Kir2.1WT or Kir2.1E299V by the fluorescence emitted by the tdTomato reporter in the AAV construct, totally absent in uninfected hearts (see Supplementary material online, Figure S1A and B). Immunohistochemistry of tdTomato in ventricular and atrial slices confirmed global AAV9 infection of ∼95%, with ∼50% cardiomyocytes expressing 2–4vg/cell (see Supplementary material online, Figure S1C–F), as reported previously.26 We also confirmed the infection of cardiac conduction system cells using Cx40GFP transgenic mice (see Supplementary material online, Figure S1G). Haematoxylin-Eosin staining and echocardiographic analysis confirmed the unaffected structure and contractile function in either Kir2.1WT or Kir2.1E299V hearts (see Supplementary material online, Figure S1C and S2).

qRT-PCR of the transgene demonstrated that, unlike the uninfected group, hearts from Kir2.1WT and Kir2.1E299V mice amplified the human KCNJ2 (see Supplementary material online, Figure S3A). We also ensured that genetic haploinsufficiency did not operate after expression in trans of Kir2.1WT and Kir2.1E299V. We confirmed that WT and mutant transcripts did not disturb endogenous Kir2.1–3 mRNA levels (see Supplementary material online, Figure S3A). As described,41 the Kir2.3 isoform is not predominant in murine myocardium, so the KCNJ4 mRNA was undetectable in our experiments. Despite the amplification of the human KCNJ2 confirmed by qRT-PCR, total protein levels from the whole hearts of uninfected, Kir2.1WT and Kir2.1E299V were very similar (see Supplementary material online, Figure S3B, left panel, and Supplementary material online, Figure S4). Endogenous regulatory mechanisms keep Kir2.1 translation at the same levels as when there is no infection, without overexpression in the generated models. Surface membrane Kir2.1 levels in Kir2.1WT and Kir2.1E299V hearts were also similar to each other, so the gain-of-function caused by the E299V mutation was not due to a higher protein expression (see Supplementary material online, Figure S3B, right panel, and Supplementary material online, Figure S4). Kir2.1 channels placed at the membrane present three bands on western blot likely due to their different glycosylation levels depending on the trafficking pathway.23 Therefore, since AAV9-Kir2.1WT did not alter the Kir2.1 total expression and represented an infected control, all subsequent experiments were conducted in Kir2.1E299V animals and compared with Kir2.1WT controls.

3.2 Kir2.1E299V mice have an extremely short QT interval

Under basal conditions, both the non-corrected and the corrected QT (QTc) intervals were significantly shorter in Kir2.1E299V than in Kir2.1WT animals (Figure 1A, and Supplementary material online, Figures S5 and S6). The PR interval was also significantly shorter in mutant than WT animals. We used isoproterenol (ISO, 5 mg/kg) to study the response of our models to a stress situation in which the heart rate increases. ISO prolonged the QT interval in Kir2.1E299V to levels similar to Kir2.1WT, but the PR interval continued to reduce in mutant mice (see Supplementary material online, Figure S7A). Both P-wave duration and QRS complex were similar in both groups at baseline, although the QRS tended to be shorter in mutant animals (Figure 1B). Notably, i.p. administration of ISO further shortened the QRS in Kir2.1E299V mice making it significantly different from WT (see Supplementary material online, Figure S7A). Together these data indicated that, in addition to the QT abbreviation characteristic of SQTS3, Kir2.1E299V animals had increased atrio-ventricular (AV) and intraventricular conduction velocities (CV), particularly in the presence of ISO.

The Kir2.1E299V mouse model reproduces the ECG phenotype of SQTS3. A, Representative ECG traces showing extreme abbreviation of QT and PR intervals in Kir2.1WT (left) vs. Kir2.1E299V (right) mice. B, Quantification of the QT interval (15.3 ± 0.4 ms vs. 30.1 ± 1.2 ms) (****P < 0.0001; N = 30 (WT), 28 (E299V)), PR interval (39.9 ± 0.7 ms vs. 46.9 ± 1.5 ms) (****P < 0.0001; N = 20), the QRS complex (8.9 ± 0.2 ms vs. 9.3 ± 0.2 ms) (P = 0.2961; N = 20), and P-wave duration (17.7 ± 0.9 ms vs. 17.4 ± 1.2 ms) (P = 0.9995; N = 10) in Kir2.1E299V and Kir2.1WT, respectively. Unpaired two-tailed Students’ t-test (QT and P-wave) or Mann–Whitney test (PR interval and QRS complex) were used.
Figure 1

The Kir2.1E299V mouse model reproduces the ECG phenotype of SQTS3. A, Representative ECG traces showing extreme abbreviation of QT and PR intervals in Kir2.1WT (left) vs. Kir2.1E299V (right) mice. B, Quantification of the QT interval (15.3 ± 0.4 ms vs. 30.1 ± 1.2 ms) (****P < 0.0001; N = 30 (WT), 28 (E299V)), PR interval (39.9 ± 0.7 ms vs. 46.9 ± 1.5 ms) (****P < 0.0001; N = 20), the QRS complex (8.9 ± 0.2 ms vs. 9.3 ± 0.2 ms) (P = 0.2961; N = 20), and P-wave duration (17.7 ± 0.9 ms vs. 17.4 ± 1.2 ms) (P = 0.9995; N = 10) in Kir2.1E299V and Kir2.1WT, respectively. Unpaired two-tailed Students’ t-test (QT and P-wave) or Mann–Whitney test (PR interval and QRS complex) were used.

Chloroquine and flecainide inhibit IKr and may be beneficial for atrial arrhythmia in patients carrying the Kir2.1E299V mutation.42 Chloroquine selectively blocks Kir2.1 channels at <10 µM.43–46 In Kir2.1E299V mice, chloroquine (40 mg/Kg corresponding to <10 µM in blood when administered i.p.47–49) induced an initial rapid prolongation (<1 min) that brought the QT interval to the Kir2.1WT mouse level. Unfortunately, there was a constant and progressive QT prolongation over a 40-min period in both groups. Chloroquine also prolonged the PR and QRS intervals to non-physiologic durations (see Supplementary material online, Figure S7B), highlighting the potential risk of using chloroquine to treat SQTS3 patients. To study if flecainide could normalize the ECG values in Kir2.1E299V animals, we tested the response of both mouse models to this class 1c antiarrhythmic drug (20 mg/kg). Flecainide blocks the cardiac sodium channel and has other effects on excitation–contraction coupling and potassium channels.50–52 As demonstrated in Supplementary material online, Figure S7C, flecainide produced a relatively rapid but transient prolongation in the QT interval of the Kir2.1WT mice, but had no effect whatsoever on the QT interval of Kir2.1E299V mice. In contrast, the drug gradually prolonged the PR and QRS intervals over a 6-min period in both groups. In summary, unlike flecainide, chloroquine effectively prolongs the QT interval. However, the effects of both drugs on AV and intraventricular conduction make them unlikely candidates for antiarrhythmic therapy in SQTS3 patients. The beneficial effects of these drugs would not be reflected in mice because their hearts do not express IKr.

3.3 Kir2.1E299V mouse hearts have shorter refractory periods than WT and are highly inducible for atrial but not ventricular arrhythmias

We measured refractory periods in both mouse groups by stimulating the His bundle (localized as described in Alanís et al.53; see Supplementary material online, Figure S8) or the right ventricle (RV) on intracardiac programmed stimulation experiments. In Kir2.1E299V mice, the His bundle and the RV refractory periods were 26.6% and 32.8% shorter than control, respectively (Figure 2A), which was consistent with the reduced QT interval in the SQTS3 animals.

Kir2.1E299V mice have a short refractory period and are highly inducible for atrial arrhythmias. A, Ventricular refractory period of Kir2.1WT (N = 8) and Kir2.1E299V (N = 6) (65.5 ± 1.9 ms and 44 ± 2.8 ms, respectively; ****P < 0.0001). His bundle stimulation yielded a refractory period of 65 ± 2.9 ms in Kir2.1WT vs. 47.7 ± 1.9 ms in Kir2.1E299V (***P = 0.0006; N = 9 (WT), 6 (E299V)). B, Top, Simultaneous surface ECG and intracardiac recordings from right atrium, His bundle, and ventricle before, during, and after PES protocols. Sinus rhythm (SR), PES, and atrial and ventricular fibrillation (AF, VF) are indicated as corresponded in the traces. Bottom, quantification of atrial tachycardia or AF events lasting >1 s after atrial stimulation in left (1 out of 10 in Kir2.1WT mice, and 8 out of 10 in Kir2.1E299V) (**P = 0.0055; N = 10), His bundle stimulation in the middle (only 3 out of 10 Kir2.1E299V), and ventricular stimulation in right. Unpaired 2-tailed Student’s t-test (refractory periods) and Fisher’s exact test (presence/absence arrhythmias) were applied.
Figure 2

Kir2.1E299V mice have a short refractory period and are highly inducible for atrial arrhythmias. A, Ventricular refractory period of Kir2.1WT (N = 8) and Kir2.1E299V (N = 6) (65.5 ± 1.9 ms and 44 ± 2.8 ms, respectively; ****P < 0.0001). His bundle stimulation yielded a refractory period of 65 ± 2.9 ms in Kir2.1WT vs. 47.7 ± 1.9 ms in Kir2.1E299V (***P = 0.0006; N = 9 (WT), 6 (E299V)). B, Top, Simultaneous surface ECG and intracardiac recordings from right atrium, His bundle, and ventricle before, during, and after PES protocols. Sinus rhythm (SR), PES, and atrial and ventricular fibrillation (AF, VF) are indicated as corresponded in the traces. Bottom, quantification of atrial tachycardia or AF events lasting >1 s after atrial stimulation in left (1 out of 10 in Kir2.1WT mice, and 8 out of 10 in Kir2.1E299V) (**P = 0.0055; N = 10), His bundle stimulation in the middle (only 3 out of 10 Kir2.1E299V), and ventricular stimulation in right. Unpaired 2-tailed Student’s t-test (refractory periods) and Fisher’s exact test (presence/absence arrhythmias) were applied.

To test the susceptibility of the SQTS3 model to AF and ventricular tachycardia/fibrillation (VT/VF), we performed intracardiac pacing experiments in both groups of mice by applying an S1-S2 train of 10 and 20 Hz (see Supplementary material online, Extended Materials and Methods). Arrhythmia episodes lasting >1 s in atria were higher in mutant animals compared to control. While only 1/10 Kir2.1WT animals were inducible, 8/10 Kir2.1E299V mice manifested atrial tachycardia or >1 s AF episodes (Figure 2B). As shown in Supplementary material online, Figure S9, 9/10 Kir2.1E299V animals manifested >500 ms atrial arrhythmias episodes.

No Kir2.1WT and only 3/10 Kir2.1E299V animals were inducible for > 1 s arrhythmias (Figure 2B) and >500 ms episodes (see Supplementary material online, Figure S9) by His bundle stimulation.

On ventricular stimulation, none of the animals were inducible for arrhythmias lasting >1 s, regardless of genotype (Figure 2B). However, 3/7 Kir2.1E299V mice had >500 ms ventricular episodes (see Supplementary material online, Figure S9).

Even when we stimulated the RV or His bundle of Kir2.1E299V mice, the main type of arrhythmia triggered was AF, as 40% mutant animals yielded atrial arrhythmias when stimulating the RV. Similarly, 60% of Kir2.1E299V animals manifested AF upon His bundle stimulation. Altogether, the vast majority of inducible arrhythmias in the Kir2.1E299V mice were atrial, and of these, the most common was AF. To rule out possible structural alterations underlying the atrial-specific arrhythmia inducibility, we analyzed histologically the atria of WT and mutant animals. We saw no differences in size, wall thickness, or fibrosis (see Supplementary material online, Figure S10).

3.4 Action potential duration (APD) is extremely brief in both atrial and ventricular cardiomyocytes of Kir2.1E299V mice

Despite their extremely short QT interval and ventricular refractory period, Kir2.1E299V mice are much less susceptible to ventricular than atrial arrhythmias. This fact leads to the question of whether the mutation results in a more severe electrical phenotype in atrial than ventricular cardiomyocytes. We, therefore, conducted whole-cell current-clamp experiments to measure the AP characteristics. Clearly, the mutation consistently and significantly abbreviated the atrial action potential duration (APD) at all levels and frequencies studied (Figure 3A, Supplementary material online, Figure 11A and Table S7). As shown in Figure 3Bi-iii, the ventricular APDs in Kir2.1E299V cardiomyocytes were also abbreviated to similar levels as the mutant atrial APDs (see Supplementary material online, Table S8). The significant shortening of both Kir2.1E299V atrial and ventricular APDs was independent of the stimulation frequency and did not vary too much as they increased. As seen in Figure 3Aiv-V and Biv-V, and Supplementary material online, Figure S11, neither RMP, dV/dt, or AP amplitude (APA) were affected in either chamber. Therefore, while APD was the only parameter modified, it did not explain the significantly different atrial vs. ventricular arrhythmia inducibility caused by the mutation.

APD is reduced in the atria and ventricles of Kir2.1E299V mice. Electrophysiological characterization of AP from Kir2.1WT and Kir2.1E299V. A, Atrial cardiomyocytes. Kir2.1WT (N = 3, n = 8–13) and Kir2.1E299V (N = 3, n = 10–16). B, Ventricular cardiomyocytes. Kir2.1WT (N = 3; n = 9–17) and Kir2.1E299V (N = 3; n = 12–17). Different panels in both regions show representative APs recorded at 1 Hz (i), and APDs at 20, 50, 70 (****P < 0.0001) and 90% (****P < 0.0001) of repolarization for 1 Hz pacing (ii). APD90 at 1, 2, 4, 5, and 10 Hz is shown in panels iii (****P < 0.0001, ***P < 0.001, *P < 0.05). The RMP for each type of cardiomyocyte (panels iv) and the maxim upstroke velocity (dV/dtmax) (panels v) are shown. Unpaired two-tailed Students’t-test or Mann–Whitney test were applied.
Figure 3

APD is reduced in the atria and ventricles of Kir2.1E299V mice. Electrophysiological characterization of AP from Kir2.1WT and Kir2.1E299V. A, Atrial cardiomyocytes. Kir2.1WT (N = 3, n = 8–13) and Kir2.1E299V (N = 3, n = 10–16). B, Ventricular cardiomyocytes. Kir2.1WT (N = 3; n = 9–17) and Kir2.1E299V (N = 3; n = 12–17). Different panels in both regions show representative APs recorded at 1 Hz (i), and APDs at 20, 50, 70 (****P < 0.0001) and 90% (****P < 0.0001) of repolarization for 1 Hz pacing (ii). APD90 at 1, 2, 4, 5, and 10 Hz is shown in panels iii (****P < 0.0001, ***P < 0.001, *P < 0.05). The RMP for each type of cardiomyocyte (panels iv) and the maxim upstroke velocity (dV/dtmax) (panels v) are shown. Unpaired two-tailed Students’t-test or Mann–Whitney test were applied.

3.5 IK1 is differently affected in atrial vs. ventricular Kir2.1E299V cardiomyocytes

We conducted whole-cell voltage-clamp experiments in atrial and ventricular Kir2.1WT and Kir2.1E299V cardiomyocytes to compare their respective barium-sensitive inward rectifier (IK1) current/voltage (IV) relationships. In Figure 4, Kir2.1E299V cardiomyocytes from both chambers showed a clear increase in IK1 outward current due to loss of inward-going rectification. The outward IK1 increase was the mechanism that caused significant APD abbreviation at all the stimulation frequencies in cardiomyocytes from both chambers of the Kir2.1E299V mice (Figure 3A and B). However, there was an important difference in the effect of the mutation on the IK1 IV relation of atrial vs. ventricular cardiomyocytes. While in atrial Kir2.1E299V cardiomyocytes inward IK1 was significantly reduced at voltages negative to −80 mV (Figure 4A), in the ventricles the inward currents were similar in these ranges of voltage in both genotypes (Figure 4B). In other words, inward rectification is absent in both atrial and ventricular Kir2.1E299V cardiomyocytes, but the reduction in the slope conductance of the inward IK1 is atrial-specific. This significantly reduced slope conductance relative to WT is likely to predispose the mouse atria to an arrhythmogenic phenotype.

Kir2.1E299V increases outward IK1 in both atria and ventricle, but reduces the slope conductance only in the atria. A, Atrial cardiomyocytes. Current/voltage (IV) relationships for Kir2.1WT (N = 3, n = 11) and Kir2.1E299V (N = 3; n = 11). Note the lack of inward-going rectification with increased outward IK1 at voltages positive to −60 mV (7.19 ± 1.04 pA/pF in E299V vs. 2.62 ± 0.57 pA/pF in WT, results at −14 mV; ****P < 0.0001) and loss of inward current at voltages negative to −120 mV (***P < 0.001, **P < 0.01, *P < 0.05 from −135 mV to −160 mV). B, Ventricular cardiomyocytes. IK1 IV relationships for both experimental groups Kir2.1WT (N = 3, n = 10) and Kir2.1E299V (N = 3; n = 11). Lack of inward-going rectification can be appreciated at voltages positive to −50 mV (4.62 ± 0.89 pA/pF in E299V vs. −0.41 ± 0.14 pA/pF in WT, results at −14 mV; ****P < 0.0001) without changes in inward current. Two-way ANOVA was applied for comparisons.
Figure 4

Kir2.1E299V increases outward IK1 in both atria and ventricle, but reduces the slope conductance only in the atria. A, Atrial cardiomyocytes. Current/voltage (IV) relationships for Kir2.1WT (N = 3, n = 11) and Kir2.1E299V (N = 3; n = 11). Note the lack of inward-going rectification with increased outward IK1 at voltages positive to −60 mV (7.19 ± 1.04 pA/pF in E299V vs. 2.62 ± 0.57 pA/pF in WT, results at −14 mV; ****P < 0.0001) and loss of inward current at voltages negative to −120 mV (***P < 0.001, **P < 0.01, *P < 0.05 from −135 mV to −160 mV). B, Ventricular cardiomyocytes. IK1 IV relationships for both experimental groups Kir2.1WT (N = 3, n = 10) and Kir2.1E299V (N = 3; n = 11). Lack of inward-going rectification can be appreciated at voltages positive to −50 mV (4.62 ± 0.89 pA/pF in E299V vs. −0.41 ± 0.14 pA/pF in WT, results at −14 mV; ****P < 0.0001) without changes in inward current. Two-way ANOVA was applied for comparisons.

We used in-silico modelling to investigate the mechanism of the absence of inward-going rectification in atrial and ventricular Kir2.1E299V cardiomyocytes. First, we determined structural changes in the ventricular isoforms of Kir2.1WT homotetramers (4 Kir2.1WT subunits) and Kir2.1WT-Kir2.1E299V heterotetramers (2 Kir2.1WT plus 2 Kir2.1E299V subunits). We observed that mutant heterotetrameric conformations undergo conformational changes, particularly on the lateral chains (Root mean square deviation value of 4.081Å when comparing Kir2.1WT-Kir2.1E299V vs. Kir2.1WT). From the stability point of view, all the models were stable with very negative values of energy: Kir2.1WT −4801.404 Rosseta Energy Units (REU) and Kir2.1WT-Kir2.1E299V −5234.111 REU.

3.6 K+ ions pass more efficiently through the Kir2.1WT-Kir2.1E299V channel structure

Compared with Kir2.1WT, the cytoplasmic pore diameter of the predominant mutant isoform in the ventricles, Kir2.1WT-Kir2.1E299V, was substantially modified by rearrangement of the side chains of the residues lining the pore (Figure 5A, blue dashed arrows). On the other hand, while the transmembrane pore region did not show any appreciable differences between models, the extracellular pore region of the heterotetrameric Kir2.1WT-Kir2.1E299V channel underwent significant expansion and became more hydrophilic compared to the homomeric Kir2.1WT (Figure 5A, right panel, red discontinue arrows), suggesting that K+ ions could pass more efficiently through the mutant channel. Moreover, we saw relevant divergences in charge distribution for each channel, Kir2.1E299V subunits being the most polarized and conducting, contributing to the gain-of-function (Figure 5B).

Polyamines fail to block Kir2.1E299V channels. A, Top, In-silico models of tetrameric structure and pore conformation of Kir2.1WT and Kir2.1WT-Kir2.1E299V. Bottom, Hydropathy, and charge maps along the extension of the pore. The cytoplasmic Kir2.1WT-Kir2.1E299V pore diameter is represented at the bottom of the panel and is appreciably modified by rearrangement of the side chains of residues lining the pore (dashed arrows). In contrast, the extracellular Kir2.1WT-Kir2.1E299V pore region undergoes significant expansion and becomes more hydrophilic (right, dashed arrows and shadows). Note the different scales in both bottom panels. B, Positive and negative charges distribution analysis of Kir2.1WT vs. Kir2.1WT-Kir2.1E299V. C, Interaction of Kir2.1 with polyamines (putrescine, spermidine, and spermine). D, Spermine concentration-response curves in inside-out patch-clamp experiments (IC50 0.07975 mM and 0.1661 mM for Kir2.1WT and Kir2.1E299V, respectively) (**P = 0.0024; N = 3, n = 7–12). P value obtained after non-linear fit analysis for comparing IC50.
Figure 5

Polyamines fail to block Kir2.1E299V channels. A, Top, In-silico models of tetrameric structure and pore conformation of Kir2.1WT and Kir2.1WT-Kir2.1E299V. Bottom, Hydropathy, and charge maps along the extension of the pore. The cytoplasmic Kir2.1WT-Kir2.1E299V pore diameter is represented at the bottom of the panel and is appreciably modified by rearrangement of the side chains of residues lining the pore (dashed arrows). In contrast, the extracellular Kir2.1WT-Kir2.1E299V pore region undergoes significant expansion and becomes more hydrophilic (right, dashed arrows and shadows). Note the different scales in both bottom panels. B, Positive and negative charges distribution analysis of Kir2.1WT vs. Kir2.1WT-Kir2.1E299V. C, Interaction of Kir2.1 with polyamines (putrescine, spermidine, and spermine). D, Spermine concentration-response curves in inside-out patch-clamp experiments (IC50 0.07975 mM and 0.1661 mM for Kir2.1WT and Kir2.1E299V, respectively) (**P = 0.0024; N = 3, n = 7–12). P value obtained after non-linear fit analysis for comparing IC50.

3.7 Polyamines fail to block Kir2.1 channels containing the E299V isoform

E299 is one of the cytoplasmic residues that interact with polyamines to confer strong inward rectification.54,55 To determine how the E299V mutant modifies IK1 rectification, we conducted molecular docking experiments that included the three principal polyamines (putrescine, spermine, and spermidine) along with Kir2.1WT and Kir2.1WT-Kir2.1E299V. All three polyamines penetrate and block Kir2.1WT channels, but they fail to penetrate the cytoplasmic pore of the Kir2.1WT-Kir2.1E299V heterotetramer (Figure 5C and Supplementary material online, Figure S12). Therefore, the channel remains open at voltages at which it should be closed (voltages positive to −80 mV, Figure 4). Notably, the respective electro-potential data show how the docking of polyamines changes the charge distribution significantly from one Kir2.1 conformation to the other. These data also show how the polyamine is far from reaching its binding site at the heterotetrameric Kir2.1WT-Kir2.1E299V, leaving the channel more polarized and presumably allowing ions to pass through (Figure 5C). Altogether, these models help us understand the lack of rectification of mutant Kir2.1E299V channels.

To translate these in-silico results to procedures in a realistic environment, we conducted inside-out patch-clamp experiments in Kir2.1WT and Kir2.1E299V ventricular cardiomyocytes, exposing the cytoplasmic side of the channels to different concentrations of spermine. We saw that the spermine concentration needed to block 50% of channels containing Kir2.1E299V subunits was higher than for Kir2.1WT homotetramers (Figure 5D). Therefore, the sensitivity of the mutant channels to the polyamine was significantly lower than WT.

3.8 A different proportion of Kir2.x subunits in atria vs. ventricles explains the atrial-specific reduction in IK1 inward current and the arrhythmia inducibility

As shown above, the atria are clearly more susceptible to arrhythmias than the ventricles of the Kir2.1E299V mouse, which correlates with different chamber-specific IK1 IV relations. Since both Kir2.1 and Kir2.2 isoforms contribute to IK1 in the heart56 and it is known that these channels express differently in the atria vs. ventricles,22,56–61 we assessed whether different Kir2.x isoform proportions in the atria vs. the ventricle help explain the arrhythmogenic differences we observed. We first measured total Kir2.1 and Kir2.2 protein levels in atria vs. ventricles from mouse samples by western blot. We confirmed that Kir2.1 is highly expressed in the ventricles of both WT and mutant animals, whereas Kir2.1/Kir2.2 levels are close to 1 in mouse atria (Figure 6A and Supplementary material online, Figure S13). Therefore, a higher proportion of Kir2.1-Kir2.2 heterotetramers should be conducting IK1 in atria compared with ventricles, which possibly explained the chamber-specific differences in the pro-arrhythmic effects of the Kir2.1E299V mutant channels.

Abundance of Kir2.2 reduces the slope conductance of the inward IK1 in atrial Kir2.1E299V channels. A, Western blots for Kir2.1 and Kir2.2 protein levels in atrial and ventricular tissue samples from mice comparing the Kir2.1 (i) and Kir2.2 (ii) expression levels. (iii) Quantification of total Kir2.1 protein levels (top) and Kir.1/Kir2.2 ratio (bottom) in atria vs. ventricles from Kir2.1WT and Kir2.1E299V animals (**P < 0.01, ***P < 0.001 and ****P < 0.0001; duplicate experiments in N = 4 animals per condition; Glyceraldehyde-3-phosphate dehydrogenase (GAPDH) was used as loading control for all comparisons). B, IV relationship of IK1 in HEK-293 cells transfected with dimers expressing Kir2.1WT-Kir2.2WT or Kir2.1E299V-Kir2.2WT (N = 3 independent transfections; n = 8–9 cells per condition; P < 0.05 for voltages negative to −80 mV). We used a modified external solution (30 mM KCl and 110 mM NaCl) to promote the IK1 current, shifting the reversal potential towards more positive voltages (from −80 to −30 mV). C, In-silico simulations of Kir2.1WT-Kir2.1E299V compared to Kir2.1E299V-Kir2.2WT (2.4Å vs. 4.87Å in the extracellular pore of Kir2.1E299V-Kir2.2WT and Kir2.1WT-Kir2.2WT, respectively; 0.49Å vs. 1.62Å in the cytoplasmic pore for Kir2.1E299V-Kir2.2WT and Kir2.1WT-Kir2.1E299V, respectively). We applied Welch’s t-test and two-way ANOVA for comparisons.
Figure 6

Abundance of Kir2.2 reduces the slope conductance of the inward IK1 in atrial Kir2.1E299V channels. A, Western blots for Kir2.1 and Kir2.2 protein levels in atrial and ventricular tissue samples from mice comparing the Kir2.1 (i) and Kir2.2 (ii) expression levels. (iii) Quantification of total Kir2.1 protein levels (top) and Kir.1/Kir2.2 ratio (bottom) in atria vs. ventricles from Kir2.1WT and Kir2.1E299V animals (**P < 0.01, ***P < 0.001 and ****P < 0.0001; duplicate experiments in N = 4 animals per condition; Glyceraldehyde-3-phosphate dehydrogenase (GAPDH) was used as loading control for all comparisons). B, IV relationship of IK1 in HEK-293 cells transfected with dimers expressing Kir2.1WT-Kir2.2WT or Kir2.1E299V-Kir2.2WT (N = 3 independent transfections; n = 8–9 cells per condition; P < 0.05 for voltages negative to −80 mV). We used a modified external solution (30 mM KCl and 110 mM NaCl) to promote the IK1 current, shifting the reversal potential towards more positive voltages (from −80 to −30 mV). C, In-silico simulations of Kir2.1WT-Kir2.1E299V compared to Kir2.1E299V-Kir2.2WT (2.4Å vs. 4.87Å in the extracellular pore of Kir2.1E299V-Kir2.2WT and Kir2.1WT-Kir2.2WT, respectively; 0.49Å vs. 1.62Å in the cytoplasmic pore for Kir2.1E299V-Kir2.2WT and Kir2.1WT-Kir2.1E299V, respectively). We applied Welch’s t-test and two-way ANOVA for comparisons.

To evaluate the above hypothesis, we transfected HEK-293 T cells with non-viral piggy-bac vectors encoding the designed dimers Kir2.1WT-Kir2.2WT and Kir2.1E299V-Kir2.2WT as fusion proteins. As shown in Figure 6B, cells transfected with Kir2.1E299V-Kir2.2WT reproduced the reduced IK1 inward component of atrial Kir2.1E299V cardiomyocytes (see Figure 4A). Cells expressing Kir2.1E299V-Kir2.2WT channels had a reduced slope conductance at voltages negative to −60 mV for these specific experimental conditions (30 mM KCl and 110 mM NaCl in the external solution to promote IK1 density, shifting the reversal potential from −80 to −30 mV). To assess how these changes in the atria should occur structurally, we conducted additional in-silico modelling of Kir2.2 heterotetramers. Mutant channels containing Kir2.1E299V-Kir2.2WT subunits had a reduced pore diameter and modifications in their polarity (see Supplementary material online, Figure 14A). In addition, unlike the Kir2.2WT homotetramers, the Kir2.1E299V-Kir2.2WT heterotetramers were unable to bind polyamines or rectify properly (see Supplementary material online, Figure 14B). Moreover, analysing specifically the values, in the absence of polyamines, the pore diameter of Kir2.1E299V-Kir2.2WT was smaller than Kir2.1E299V-Kir2.1WT channels (2.4Å vs. 4.87Å in the extracellular pore, and 0.49Å vs. 1.62Å in the cytoplasmic pore, respectively) (Figure 6C). Altogether, these data suggest that the reduced pore diameter of mutant Kir2.1E299V-Kir2.2WT channels in atria led to relatively lower atrial than ventricular IK1 conductance and may underlie, at least in part, the greater arrhythmogenic potential of the atria of E299V animals.

3.9 The Kir2.1E299V mutation increases ventricular excitability by modifying NaV1.5 function

The ECG of the SQTS3 mouse model showed substantial abbreviation in the PR interval and a slight shortening of the QRS complex, suggesting the possibility of accelerated AV and intraventricular conduction, respectively. This might be due to sodium inward current (INa) modification induced by the Kir2.1E299V mutation.21,34 In an additional group of experiments, we measured INa in atrial and ventricular cardiomyocytes. In Figure 7A superimposed IV relations (Ai), and activation and inactivation curves (Aii) from Kir2.1WT and Kir2.1E299V atrial cardiomyocytes showed that the mutation did not modify either INa density or its biophysical properties (Aiii and Aiv). In Figure 7B, the results were completely different for ventricular cardiomyocytes, where the mutation led to a large and significant shift of INa peak density to the left (Bi) and an equal shift of both activation and inactivation to negative voltages (Figure 7Bii-iv).

Kir2.1E299V modifies sodium current properties in ventricular but not atrial cardiomyocytes. Electrophysiological characterization of sodium currents (INa) from Kir2.1WT and Kir2.1E299V isolated cardiomyocytes. A, Atrial cardiomyocytes. Kir2.1WT (N = 3, n = 13–15) and Kir2.1E299V (N = 3, n = 12–16). B, Ventricular cardiomyocytes. Kir2.1WT (N = 3, n = 9–16) and Kir2.1E299V (N = 3, n = 9–19). (i) Different panels in both regions show the INa IV relationships (***P < 0.001, **P < 0.01, and *P < 0.05 for voltages from −70 to −55 mV when comparing WT and mutant ventricular cardiomyocytes). (ii) INa inactivation and activation curves. Note the shift to negative voltages in the INa inactivation and activation curves of Kir2.1E299V ventricular cardiomyocytes (****P < 0.0001, ***P < 0.001, **P < 0.01, and *P < 0.05). The activation (****P < 0.0001 and ***P < 0.001 when comparing WT and mutant ventricular cardiomyocytes) (iii) and inactivation (***P > 0.001 also in WT vs. mutant ventricular myocytes) (iv) parameters (V50 and slope) are also indicated. Two-way ANOVA and Mann–Whitney test were applied for comparisons.
Figure 7

Kir2.1E299V modifies sodium current properties in ventricular but not atrial cardiomyocytes. Electrophysiological characterization of sodium currents (INa) from Kir2.1WT and Kir2.1E299V isolated cardiomyocytes. A, Atrial cardiomyocytes. Kir2.1WT (N = 3, n = 13–15) and Kir2.1E299V (N = 3, n = 12–16). B, Ventricular cardiomyocytes. Kir2.1WT (N = 3, n = 9–16) and Kir2.1E299V (N = 3, n = 9–19). (i) Different panels in both regions show the INa IV relationships (***P < 0.001, **P < 0.01, and *P < 0.05 for voltages from −70 to −55 mV when comparing WT and mutant ventricular cardiomyocytes). (ii) INa inactivation and activation curves. Note the shift to negative voltages in the INa inactivation and activation curves of Kir2.1E299V ventricular cardiomyocytes (****P < 0.0001, ***P < 0.001, **P < 0.01, and *P < 0.05). The activation (****P < 0.0001 and ***P < 0.001 when comparing WT and mutant ventricular cardiomyocytes) (iii) and inactivation (***P > 0.001 also in WT vs. mutant ventricular myocytes) (iv) parameters (V50 and slope) are also indicated. Two-way ANOVA and Mann–Whitney test were applied for comparisons.

To study if the above effects resulted in accelerated conduction in mutant ventricles, we performed optical mapping experiments (see Supplementary material online, Figure S15). Mean ventricular CV was higher in Kir2.1E299V than Kir2.1WT hearts. Ventricular CV in Kir2.1E299V was also higher than both left and right atria from Kir2.1WT and Kir2.1E299V hearts, which were similar to WT ventricles. These data provide proof that by increasing excitability in ventricular cardiomyocytes, the Kir2.1E299V mutation also increases CV, which likely protects the ventricles against the initiation and maintenance of arrhythmias.

Further analysis of Kir2.1-NaV1.5 channelosome-related proteins20,34 confirmed similar expression levels and distribution patterns of Kir2.1, NaV1.5, α1-Syntrophin, and SAP97 between groups (see Supplementary material online, Figures S16 and S17), suggesting that chamber-specific changes in the biophysical properties of INa were independent of channelosome trafficking or scaffolding, at least at the confocal resolution limit.

To investigate more about the mechanisms underlying the differential INa changes in ventricular vs. atrial Kir2.1E299V cardiomyocytes, we used HEK-293 T cells stably expressing NaV1.5 (HEK-NaV1.5 cells).35 We transfected Kir2.1WT and Kir2.1E299V to simulate a mutant heterozygous condition in HEK-NaV1.5 cells. We saw no differences in INa density between WT vs. mutant conditions as we had in atrial cardiomyocytes (see Supplementary material online, Figure S18). In addition to the interactors mentioned above, β subunits play important roles in the regulation of NaV1.5 trafficking and function.35,62–66 NaVβ2 and NaVβ4 are NaV1.5 regulatory subunits differently expressed in atria vs. ventricles, having a higher presence in murine ventricles.64,67,68 Hence, in HEK-NaV1.5 cells expressing Kir2.1WT and Kir2.1WT/E299V, we transfected β subunits individually and in combination. The most promising results were obtained in cells expressing Kir2.1WT/E299V + NaVβ4. While we did not observe any changes in inactivation, we saw a slight shift of activation to negative voltages and an increase in INa density (see Supplementary material online, Figure S18). Surely other interactors are likely involved, but NaVβ4 appears to be contributing in some way to the Kir2.1E299V-mediated modification of NaV1.5 properties in the ventricles where this subunit is highly expressed.68

3.10 The Kir2.1E299V mutation increases INa density in Purkinje cardiomyocytes

The slight abbreviation in the QRS complex duration in Kir2.1E299V mice suggested a confirmed increase in the ventricular CV. Then, we wanted to know the reason for the PR interval shortening in mutant animals. We infected transgenic Cx40GFP with AAV-Kir2.1WT and AAV-Kir2.1E299V to localize and isolate infected Purkinje cardiomyocytes and determine changes in IK1 and INa.33,69–72 IK1 recordings showed a small but significant reduction of inward-going rectification in Cx40GFP-Kir2.1E299V compared to control Cx40GFP-Kir2.1WT cells (Figure 8A). However, a more remarkable difference occurred at the cardiac sodium current level: Cx40GFP-Kir2.1E299V cells manifested a significantly higher INa density than Cx40GFP-Kir2.1WT cells, and a shift of INa activation to negative voltages (Figure 8B–D). Together, these results clearly explain the shortening of the PR interval and the slightly abbreviated QRS complex of mutant mice. They contribute to a higher CV conferring protection against ventricular arrhythmias in Kir2.1E299V mice, and explaining their chamber-specific inducibility.

Kir2.1E299V increases INa density in cardiac Purkinje cardiomyocytes. A, IK1 IV relationships for Cx40GFP AAV-Kir2.1WT (N = 3, n = 15) and Cx40GFP AAV-Kir2.1E299V (N = 3, n = 11) Purkinje cells (*P = 0.0163 at +6 mV). B, Superimposed INa IV relationships (N = 3 and n = 15–17; ****P < 0.0001, ***P < 0.001, **P < 0.01, and *P < 0.05 when indicated). C, Sodium activation and inactivation curves (N = 3, n = 13–16; ****P < 0.0001 and **P < 0.01). D, Graphs show sodium activation (left panel) and inactivation (right panel) parameters (V50 and slope) (N = 3; n = 13–16, *P < 0.05). Two-way ANOVA (IV and sodium activation/inactivation curves) and Mann–Whitney test (activation/inactivation parameters) applied for comparisons.
Figure 8

Kir2.1E299V increases INa density in cardiac Purkinje cardiomyocytes. A, IK1 IV relationships for Cx40GFP AAV-Kir2.1WT (N = 3, n = 15) and Cx40GFP AAV-Kir2.1E299V (N = 3, n = 11) Purkinje cells (*P = 0.0163 at +6 mV). B, Superimposed INa IV relationships (N = 3 and n = 15–17; ****P < 0.0001, ***P < 0.001, **P < 0.01, and *P < 0.05 when indicated). C, Sodium activation and inactivation curves (N = 3, n = 13–16; ****P < 0.0001 and **P < 0.01). D, Graphs show sodium activation (left panel) and inactivation (right panel) parameters (V50 and slope) (N = 3; n = 13–16, *P < 0.05). Two-way ANOVA (IV and sodium activation/inactivation curves) and Mann–Whitney test (activation/inactivation parameters) applied for comparisons.

4. Discussion

The most important results of this original study are as follows: (i) We have generated the first in-vivo model of SQTS3 able to reproduce the phenotypical electrical characteristics of a patient with the Kir2.1E299V mutation.14 (ii) On ECG, the QT interval of Kir2.1E299V mice was significantly shorter than Kir2.1WT mice. (iii) Arrhythmia inducibility was greater in the atria in than the ventricles of Kir2.1E299V mice. (iv) Both atrial and ventricular Kir2.1E299V cardiomyocytes generated extremely abbreviated APs due to lack of inward-going rectification. (v) There were significant chamber-specific effects of the Kir2.1E299V mutation at the ion channel level: while in Kir2.1E299V atrial cardiomyocytes IK1 presented a reduced slope conductance, in ventricular cardiomyocytes the mutation increased cell excitability by shifting INa activation and steady-state inactivation in the hyperpolarizing direction, which protected the ventricles against arrhythmia induction. In addition, in the cardiac conduction system cells, the mutation caused a higher INa density contributing to increase the CV. Therefore, in the ventricles, the Kir2.1E299V mutation reduces Kir2.1 current rectification to shorten the APD and increases excitability by modifying NaV1.5 function. (vi) In atrial cardiomyocytes, while the mutation increased the outward IK1 at positive voltages, a greater proportion of Kir2.1E299V-Kir2.2WT channels impaired polyamine block in the presence of a reduced pore diameter. Altogether, the results provide novel functional interactions between Kir2.1 and NaV1.5 channels and insight into the mechanism underlying greater atrial than ventricular arrhythmogenesis in the mouse model and a patient with SQTS3 due to the Kir2.1E299V mutation.

We used AAV9 technology26 to generate the first SQTS3 mouse model with gene constructs containing Kir2.1E299V vs. the Kir2.1WT version as control. The cardiac mechanisms are too complex to investigate them in heterologous expression systems, and here we provide an in-vivo model that changes the landscape for the study of hereditary arrhythmias associated with SQTS3. Introduction of exogenous human Kir2.1E299V in mice expressing the murine Kir2.1WT endogenously reproduces a heterozygous condition where the dominant negative effect of the mutation mimics the patient’s genetic environment in the heart. Importantly, infection using the human WT or mutant Kir2.1 sequences did not alter the endogenous expression of Kir2.x subtypes or caused Kir2.1 overexpression in the cardiac tissue.

Mutant mice presented significant QT abbreviation and increased susceptibility to arrhythmias. Programmed electrical stimulation (PES) in the right atria, His bundle or RV of Kir2.1WT and Kir2.1E299V groups demonstrated that, by far, the largest proportion of mutant mice responded with supraventricular arrhythmias like AF. Also, the longest-lasting events were recorded in the atria. At the ionic level, Kir2.1E299V ventricular cardiomyocytes revealed a gain-of-function in the outward IK1 due to a lack of inward-going rectification. This behaviour was similar in mutant atrial cardiomyocytes, which, unlike the ventricles, also had reduced IK1 at potentials negative to −80 mV. In-silico structural modelling and inside-out patch-clamp experiments confirmed the lack of rectification in Kir2.1E299V cardiomyocytes underlying the gain-of-function. As glutamic acid was replaced by valine, the mutation induced a loss of negative charges in the channel pore. Consequently, positively charged polyamines failed to penetrate sufficiently to block mutant Kir2.1E299V channels.

There is increasing evidence that channels function as part of macromolecular complexes and interact with other proteins, including ion channels.21–25,34,36,73,74 Evidence also indicates that mutations in ionic channels or in their regulatory subunits cause modifications in the functional, structural, or kinetic properties of many other interactors.23,24,34 Some of them are important in maintaining excitability and excitation–contraction coupling, so punctual genetic alterations in apparently unrelated proteins provoke unexpected changes in other cell functions. Thus, we should not treat channelopathies as monogenic diseases, since even though they may be caused by specific mutations in one gene, a given mutation also affects the products of other genes. Such a premise was borne out in the in-vivo SQTS3 model, which allowed the discovery that the Kir2.1E299V mutation modified the biophysical properties of the INa in ventricular cardiomyocytes and its density in cardiac Purkinje cells. In mutant ventricular cardiomyocytes, Nav1.5 activates at more negative voltages than WT and its inactivation is also left-shifted, which likely contributed to increasing INa availability at potentials between −80 and −60 mV.

The speed of excitation of a cardiomyocyte in response to an external stimulus is determined by the rate of approach to threshold (foot potential) and the maximum rate of depolarization (dV/dtmax) during phase 0 of the AP (see Supplementary material online, Figure S19A). The foot potential depends on the balance between the magnitude of inward current provided by the stimulus, the time needed to charge the membrane capacitance and the amount of outward IK1 opposing the depolarization. Once threshold has been reached, dV/dtmax will depend on the number of sodium channels available for excitation.75 Similarly, the velocity of impulse propagation in the cardiac syncytium will depend on the amount of charge carried by the AP of a given cardiomyocyte to excite downstream neighbours, the time needed to charge their membrane capacitance, the amount of outward IK1 opposing depolarization and the availability of sodium channels for excitation.76 Thus, to determine why CV increased in the mutant ventricles with respect to WT, in cardiomyocytes we compared the amount of current needed to reach threshold as the relation between sodium channel availability and the charge needed for excitation, normalized by the access resistance (see Supplementary material online, Figure S19B). Therefore, despite the absence of dV/dtmax change, the more negative threshold potential and lower current needed for excitation likely enabled for a shorter foot of the conducted AP, accelerating conduction in the mutant ventricles, which accounted for the slightly shorter QRS interval. On the other hand, the increased INa density in the mutant Purkinje fiber network was likely responsible for the shortening of the PR interval. Hence, unexpectedly, the same mutation differentially affected each of the cardiac chamber and cell type, which explains the atrial arrhythmia predisposition and absence of ventricular arrhythmias in the mouse and the patient with the Kir2.1E299V mutation. Most likely, specific Kir2.1 interactors in each of the cardiac regions modify the electrical properties differently, which should explain the dissimilar outcomes with the same mutation.

Kir2.1 and NaV1.5 traffic together from the sarcoplasmic reticulum and they interact with multiple proteins capable of modifying their targeting and distribution.21–25,34,36,73,74 Proteins like SAP97 and α1-Syntrophin act as scaffolds that keep Kir2.1 and NaV1.5 together at the membrane through their PDZ (Postsynaptic density protein, Drosophila disc large tumour suppressor, and Zonula occludens-1 protein) binding domains. In-vitro experiments have demonstrated that inhibition or absence of these interacting proteins causes alterations in both IK1 and INa.20,22,77–81 However, in ventricular cardiomyocytes expressing Kir2.1E299V, we have not seen changes in the distribution or levels of either channel or their specific interactors, which rule out the above proteins as mediators of the arrhythmogenic consequences of the mutation.

Some of the NaV1.5 β subunits are known to predictably modify INa activation and inactivation35,62–68 in cardiac and other excitable cells, and they also interact with other channels. Hu et al. demonstrated that a variant in SCN1Bb gene encoding the β1 subunit caused alterations in INa and Ito, as β1 has functional and structural association with both NaV1.5 and KV4.3.82 These regulatory subunits would be interacting with other apparently unrelated channels and taking part of the same macromolecular complexes. NaV1.5 β2 and β4 are expressed mainly in the ventricles.68 Apparently, NaVβ2 alone does not have effects on the kinetic properties of NaV1.5,35 but NaVβ4 expression would be able to change INa biophysical parameters.62 However, transfection with Kir2.1E299V along with β4 in the HEK-NaV1.5 cell line failed to reproduce the results seen in mutant ventricular cardiomyocytes (see Supplementary material online, Figure S18). The question remains why the Kir2.1E299V mutation leads to such an unexpected gain-of-function modification in NaV1.5 so specifically in ventricular but not atrial cardiomyocytes. Answering this question will require exploration of yet unidentified but possible Kir2.1 interactions with NaV1.5 partner proteins.

The atria have certain characteristics that may contribute to arrhythmogenesis in light of APD shortening induced by IK1 gain-of-function. The complex anatomy of the atria is potentially arrhythmogenic due in part to the highly intricate arrangement of the endocardial pectinate muscles, which may facilitate both inducibility and maintenance of AF.83 Computational and experimental studies have demonstrated that the pectinate muscles contribute stabilizing re-entry and fibrillatory conduction.84 Moreover, the spatially heterogeneous ion channel distribution and electrical properties throughout both atria also make them particularly susceptible to arrhythmias due to IK1 gain-of-function,85 even in the absence of other electrophysiological alterations.

Panama et al. showed that both Kir2.x expression and IK1 properties are spatially heterogeneous in the mouse heart.59 Gaborit et al. demonstrated that the ventricles express higher levels of Kir2.1, but the expression profile of Kir2.2 was the same in both cardiac chambers.86 Here, we confirmed that the ventricles have higher levels of Kir2.1 than the atria, a pattern that remains even in the presence of the E299V mutation (Figure 6). Seeing slightly higher levels of Kir2.2 in murine atria than ventricles, we assumed that in the atrium there is a larger number of Kir2.x channels containing Kir2.2 subunits compared with the ventricles. IK1 generated by dimers expressing Kir2.1E299V-Kir2.2WT and transfected into HEK-293 T cells was similar to atrial cardiomyocytes. In addition, heterotetrameric Kir2.1E299V-Kir2.2WT channels simulated in-silico had a reduced pore diameter that could explain their reduced conductance at voltages negative to −80 mV. We, therefore, propose that, together with the complex cardiac structure, such a low Kir2.1 pore conductivity underlies the greater atrial than ventricular arrhythmogenic potential in the Kir2.1E299V mice.

The young patient in whom we discovered the Kir2.1E299V mutation presented an extremely short QTc interval and AF. Such a phenotype provides validation to our results, as the mouse recapitulated the most important aspects of the patient’s electrical phenotype. However, extrapolation of our results to the clinic and the patient with SQTS3 should be done with extreme caution. After all, Kir2.3 is the most predominant Kir2.x subtype in the human atrium,86 and it does not interact reciprocally with NaV1.5 channels.22 We, therefore, conducted additional in silico studies using Kir2.1E299V-Kir2.3WT heterotetramers (see Supplementary material online, Figure S20). The simulated channels had defects in the pore and its polarity, and were unable to bind polyamines, indicating they would not rectify either in human atrial cardiomyocytes. Therefore, even without any modifications in the voltage dependence and biophysical properties of NaV1.5, the absence of IK1 rectification and reduced pore conductance caused by the Kir2.1E299V mutation in atrial cardiomyocytes would be sufficient to underlie the initiation and maintenance of AF in the heterogeneous atria of a SQTS3 patient.

Additionally, our results stablish the molecular basis of SQTS3 and open new strategic lines for the development of drugs based on the polyamines’ skeleton. These positively charged molecules present a high capacity for blocking Kir2.1 and could be chemically modified for reducing the hyperfunctionality of Kir2.1E299V mutant channels. These new therapies may help to preventing life-threating arrhythmias and SCD in SQTS3 and possibly other diseases.

In conclusion, this work contributes to unravel the arrhythmogenic consequences of the gain-of-function mutation Kir2.1E299V causing SQTS3. Knowing the molecular and electrical environment that triggers lethal arrhythmias in patients suffering from this syndrome may lead to develop diagnostic tools and new therapeutic strategies to reduce their morbidity and mortality. Moreover, unravelling the molecular mechanisms underlying rare and lethal syndromes, such as SQTS3, contributes to increase knowledge that can be applied to the management of other more prevalent cardiac diseases.

4.1 Limitations

We have used mice to investigate arrhythmogenic mechanisms in SQTS3, but we are well aware of the potential limitations of this animal model to study a human disease. Heart rate and repolarization features between mice and humans are different, as they are governed by different sets of potassium currents, a fact that alters the AP and QT interval durations. For example, mice do not present IKr or IKs, the rapid and slow delayed rectifier currents. This sense, while chloroquine and flecainide are known to inhibit not only IK1, but IKr as well, the latter effect would not be reflected in mouse QT data. Structurally, there are also remarkable differences between the murine and human hearts, such as the heart size. Therefore, results about specific mechanisms of arrhythmia in the mice should not be extrapolated directly to the clinic, and more studies using appropriate preclinical models would be needed to ensure rigorous translation of our results to the human patient. Moreover, regarding the AAVs, although AAV vectors delivered to the heart show a high rate of infection (over 95%) and genetic load (over 60% of the cardiomyocytes have between one and three copies of the transgene), this system always generates a mosaic cellular distribution of Kir2.1WT and Kir2.1E299V expression in the heart. Yet, despite the above limitations, we stand by our results, which provide novel insights into the mechanisms of differential chamber-specific electrical remodelling underlying atrial arrhythmogenesis and ventricular protection in a mouse model of SQTS3.

Supplementary material

Supplementary material is available at Cardiovascular Research online.

Author contribution

A.I.M.M, A.M., F.M.C. J.A.B., and J.J. co-designed the experiments; A.M. is corresponding author for cellular electrophysiology; and F.M.C. is corresponding author for the mouse models in-vivo characterization; A.I.M.M., A.M., and F.M.C. performed most cellular, ex-vivo and in-vivo experiments; L.K.G. carried out the optical mapping experiments; L.K.G. and F.M. were in charge of in-silico modelling and molecular docking studies; A.G.G, F.M.C., and J.A.B. designed the vectors and generated the AAV9-dependent mouse models; I.M.C., F.B.J., P.S.P, M.L.V.P., and J.M.R. provided technical support, discussions, and revisions; A.I.M.M. and J.J. co-wrote the manuscript; J.A.B. and J.J. conceived the study, and provided supervision, funding, and revisions; all authors discussed the results and commented on and approved the manuscript.

Acknowledgements

We thank the CNIC Viral Vectors Unit for producing the AAV9 used in this article. We thank the CNIC Bioinformatics Unit for generating the in-silico simulations and helping in their discussion. We thank Carmen Valenzuela’s laboratory and Hugues Abriel’s laboratory members for their help with HEK-Nav1.5 cells and Navβ subunits plasmids, respectively. The confocal experiments were carried out in the CNIC Microscopy and Dynamic Imaging Unit—ICTS-ReDib with funding from MCIN/AEI/10.13039/501100011033 and FEDER ‘Una manera de hacer Europa’ (#ICTS-2018-04-CNIC-16).

Funding

This work was supported by ‘La Caixa’ Foundation [project code LCF/PR/HR19/52160013]; grant PI20/01220 of the public call ‘Proyectos de Investigación en Salud 2020’ [PI-FIS-2020] funded by Instituto de Salud Carlos III (ISCIII); MCIU grant BFU2016-75144-R and PID2020-116935RB-I00, and co-funded by Fondo Europeo de Desarrollo Regional (FEDER); and Fundació La Marató de TV3 [736/C/2020]. We also receive support from the European Union's ‘Horizon 2020 Research and Innovation Framework Programme’ [grant agreement GA-965286]; the Dynamic Microscopy and Imaging Unit—ICTS-ReDib Grant ICTS-2018-04-CNIC-16 funded by MCIN/AEI/10.13039/501100011033 and ERDF ‘A way of making Europe’; project EQC2018-005070-P funded by MCIN/AEI/10.13039/501100011033 and FEDER ‘Una manera de hacer Europa’. CNIC is supported by the Instituto de Salud Carlos III (ISCIII), the Ministerio de Ciencia e Innovación (MCIN) and the Pro CNIC Foundation, and is a Severo Ochoa Center of Excellence [grant CEX2020-001041-S funded by MICIN/AEI/10.13039/501100011033].

A.I.M.M. holds a FPU contract [FPU20/01569] from Ministerio de Universidades. L.K.G. holds a FPI contract [PRE2018-083530], Ministerio de Economía y Competitividad de España co-funded by Fondo Social Europeo ‘El Fondo Social Europeo invierte en tu futuro’, attached to Project SEV-2015-0505-18-2. I.M.C. holds a PFIS contract [FI21/00243] funded by Instituto de Salud Carlos III and Fondo Social Europeo Plus (FSE+), ‘co-funded by the European Union’. M.L.V.P. held contract PEJD-2019-PRE/BMD-15982 funded by Consejería de Educación e Investigación de la Comunidad de Madrid ‘El FSE invierte en tu futuro’.

Data availability

The data underlying this article are available in the article and in its online supplementary material. Additional data will be shared on request to the corresponding authors.

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Translational perspective

The pathologic genetic variation of the strong inward rectifier K+ channel (Kir2.1E299V) leads to SQTS3 with atrial-specific arrhythmias while paradoxically enhancing Purkinje fiber excitability and ventricular conduction velocity. The availability of an animal model of SQTS3 may lead to the identification of new molecular targets in the design of novel drugs to treat a cardiac disease that currently has no defined therapy. The chemical skeleton of polyamines, which block Kir2.1 channels at specific voltages, may serve as a template for designing new drugs capable of correcting hyperfunctional Kir2.1 channels, and preventing arrhythmias in SQTS3 and possibly other diseases.

Author notes

Conflict of interest: none declared.

This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.

Supplementary data