Abstract
Background and Purpose
Ventricular arrhythmias induced by human ether‐a‐go‐go related gene (hERG; Kv11.1 channel) blockers are a consequence of alterations in ventricular repolarisation in association with high‐frequency (HF) oscillations, which act as a primary trigger; the autonomic nervous system plays a modulatory role. In the present study, we investigated the role of β1‐adrenoceptors in the HF relationship between magnitude of heart rate and QT interval changes within discrete 10 s intervals (sorted into 5 bpm heart rate increments) and its implications for torsadogenic hERG blockers.
Experimental Approach
The HF relationship was studied under conditions of autonomic blockade with atenolol (β1‐adrenoceptor blocker) in the absence or presence of five hERG blockers in beagle dogs. In total, the effects of 14 hERG blockers on the HF relationship were investigated.
Key Results
All the torsadogenic hERG blockers tested caused a vertical shift in the HF relationship, while hERG blockers associated with a low risk of Torsades de Pointes did not cause any vertical shift. Atenolol completely prevented the effects four torsadogenic agents (quinidine, thioridazine, risperidone and terfenadine) on the HF relationship, but only partially reduced those of dofetilide, leading to the characterization of two types of torsadogenic agent.
Conclusions and Implications
Analysis of the vertical shift in the HF relationship demonstrated that signs of transient sympathetic activation during HF oscillations in the presence of torsadogenic hERG blockers are mediated by β1‐adrenoceptors. We suggest the HF relationship as a new biomarker for assessing Torsades de pointes liability, with potential implications in both preclinical studies and the clinic.
Abbreviations
- APD
action potential duration
- BBB
bundle branch block
- BVR
beat‐to‐beat variability of ventricular repolarisation
- HF
high frequency
- HR
heart rate
- STVQT
short term QT interval variability
- TdP
Torsades de Pointes
Tables of Links
| TARGETS |
|---|
| GPCRs a |
| β1‐adrenoceptor |
| Ion channels b |
| hERG (Kv11.1) |
| LIGANDS | |||
|---|---|---|---|
| Atenolol | Haloperidol | Quinidine | Terfenadine |
| Cisapride | Nicardipine | Risperidone | Thioridazine |
| Dofetilide | Phenytoin | Sotalol | Verapamil |
These Tables list key protein targets and ligands in this article which are hyperlinked to corresponding entries in http://www.guidetopharmacology.org, the common portal for data from the IUPHAR/BPS Guide to PHARMACOLOGY (Pawson et al., 2014) and are permanently archived in the Concise Guide to PHARMACOLOGY 2013/14 (a,bAlexander et al., 2013a,2013b).
Introduction
Torsades de Pointes (TdP) is a malignant form of ventricular arrhythmias responsible for sudden death in various forms of long QT (LQT) syndrome (Shimizu and Antzelevitch, 1999) and in patients treated with molecules known to block the human ether‐a‐go‐go related gene (hERG; also known as the Kv11.1 channel) (Redfern et al., 2003). This latter effect has become a major issue in drug development as it is difficult to predict whether a substance will have this property (Hancox et al., 2008; Abi‐Gerges et al., 2011; Nalos et al., 2012; Di Veroli et al., 2014). It is now known that an ability to block cardiac hERG is not the only determinant for triggering TdP. However, one of the major difficulties in identifying these harmful molecules arises from the fact that the propensity of a drug to induce TdP does not fit with a unique and common electrophysiological profile. Alternatively, the autonomic nervous system has been reported to play a critical role in ventricular arrhythmia liability of drugs, causing QT prolongation through abnormalities in the restoration of the QT/RR relationship (Fossa, 2008). In a recent study, we showed that the autonomic high‐frequency (HF) oscillations in the amplitude of heart rate (HR) play a major role in beat‐to‐beat variability of ventricular repolarisation (BVR) and are one of the mechanisms responsible for dofetilide‐induced TdP (Champeroux et al., 2015). These HF oscillations result from alternate sequences of parasympathetic activation and deactivation occurring within a very short period of a few seconds (Pagani et al., 1986). These fast changes in beat‐to‐beat HR immediately influence QT‐interval duration through the well‐known inverse relationship between these parameters. In parallel, the sympathetic component of autonomic control is clearly involved, through β1‐adrenoceptors, in the mechanisms of TdP triggering in the LQT1 syndrome, the most prevalent form of inherited LQT syndrome; β‐blocker therapy effectively prevents TdP in LQT1 patients (Viitasalo et al., 2006). Consequently, we studied the role of β1 adrenoceptors in HF oscillations and its consequences on QT‐interval variability in the context of QT prolongation by hERG blockers. This study was conducted in beagle dogs. This latter species has the advantage of exhibiting an autonomic balance close to that of humans with a predominant vagal tone (Pagani et al., 1986). Moreover, this species is the main species employed in preclinical studies to investigate cardiac safety issues of new drug candidates.
Methods
All experiments were subjected to ethical review (ethical committee n° CEEA‐111) according to 2010/63/UE animal welfare European directive. Studies were undertaken following the 3‐R rule (replacement, reduction and refinement) including standard operating procedures for environmental enrichment and animal welfare in a (Good Laboratory Practices) GLP testing facility. Reporting of experiments follows the ARRIVE guidelines (Kilkenny et al., 2010).
Electrocardiogram recordings in conscious dogs
Adult male and female (8–24 months old, 10–15 kg, Centre d'Elevage du Domaine des Souches – Mezilles, France) beagle dogs were instrumented with radio telemetry transmitters (Data Sciences International, Saint Paul, USA) as described elsewhere (Champeroux et al., 2013). After left thoracotomy, one electrode was sutured directly to the left ventricular epicardium near the apex while the second electrode was sutured to the pericardium above the right atrium to approximate a limb Lead II ECG. Analgesic treatment with buprenorphine/meloxicam was given before surgery and continued for a minimum of 2 days to alleviate any postoperative pain. A minimum period of 3 weeks was allowed for recovery from the surgery. Animals were housed in individual stainless‐steel cages for telemetry recordings. Outside of recording periods, animals were housed in pens with groups of six animals maximum. Environmental parameters were recorded continuously and maintained within a fixed‐range, room temperature at 15–21°C and 45–65% relative humidity. The artificial day/night cycle was 12 h light and 12 h dark with lights on at 07:30 h. Drinking water was provided ad libitum. Solid diet (300 g) was given daily in the morning. All dosing was performed between 15:00 h and 15: 30 h. ECGs were recorded continuously for a minimum of 2 h before dosing up to 24 h post‐dose. ECG waveforms were continuously recorded at a sampling rate of 500 Hz using the ART™ acquisition software release 4.1. (Data Sciences International, New Brighton, MN, United States). QT interval and HR values were calculated according to an automated procedure from a beat‐to‐beat analysis using internal software developed in RPL (RS/1 programming language, RS/1 release 6.3, Applied Materials, Santa Clara, CA, USA), GLP validated. Location of cardiac waves was performed according to procedures described by Ettinger and Suter (1970). Validation of correct location of cardiac wave markers was performed according to a standardised procedure which covered the whole 24‐hour period. In most cases, the percentage of errors in location of the end of the T wave was less than 3%.
HF oscillations
The term ‘HF oscillations’ refers to the magnitude of HR and QT interval changes within discrete 10 s intervals, that is, the maximum period of HF rhythms (0.1 Hz) of the autonomic nervous system (Champeroux et al., 2013). The magnitude of HF oscillations was calculated from the difference between maximum and minimum HR or QT interval values noted within each 10 s sequence as previously described (Champeroux et al., 2015, see Figure 1A for a typical example of determination of HF oscillations).
Figure 1.

(A, B, C) Examples of low, medium and large high‐frequency (HF) oscillations, respectively. All ECG examples presented were collected from the same dog in free‐treatment conditions. Arrows in (A) depict examples of calculations of magnitude of QT interval HF oscillations (called HF QT) and heart rate (HR) HF oscillations (called HF HR). (D) Beat‐to‐beat QT/RR values collected during these low, medium and large HF oscillations were plotted versus the individual mean QT/RR relationship calculated over a 24 h period in this dog according to the probabilistic method (Holzgrefe et al., 2014). This graph demonstrates the well‐known rate dependence of QT interval upon RR interval during HF oscillations. For large HF oscillations, signs of increasing heart rate associated with QT interval shortening are observed.
HF relationship
The term ‘HF relationship’ refers to the relationship between HR oscillations (HF HR) and QT interval oscillations (HF QT). Building this relationship was based on a close methodological approach to that described earlier for the QT/RR relationship (Holzgrefe et al., 2014). This analysis consists in sorting all pairs of HR HF oscillations by increasing increments of 5 bpm (beats min‐1) over a selected time range. Subsequently, mean magnitude of HF QT was calculated for each 5 bpm HR HF oscillations increment. A minimum of 10 pairs was required for calculations per increment. Respiratory sinus arrhythmia occurs naturally during vagal HF oscillations, and their rhythmic feature constitutes the fundamental principle for measurement of vagal HF rhythms from spectral analysis of HR variability (Pagani et al., 1986). This respiratory sinus arrhythmia does not usually cause pauses with an RR interval larger than 2000 ms in dogs. In this species, they can exceptionally degenerate into larger and non‐rhythmic pauses (>2000 ms). Consequently, 10 s sequences with less than five beats were excluded from analysis to avoid inclusion of sequences with incomplete HF cycles. Finally, 10 s sequences with the presence of arrhythmias and the two directly adjacent sequences were also excluded from analysis. The HF relationship was constructed from data collected over a time period ranging between 3 and 8 h depending on the duration of the drug effects. Consequently, the time range selected might be different depending on dose levels. The time ranges selected are reported in the figure legends. A minimum of 3 h is necessary to allow the collection of a convenient amount of data for a good definition of the HF oscillations relationship. Narrow time ranges truncate the HF relationship at both extremes. Finally, we compared HF relationships derived from HR oscillations with that derived from RR interval oscillations. This comparison showed that constructing the HF relationship from RR interval oscillations is not appropriate for revealing increases in QT interval oscillations during large HF oscillations. Explanations are provided as supplemental data (Figure S1).
Statistical procedures
Statistics were processed using GLP‐validated RS/1 computer procedures (release 6.3, Applied Materials). Experiments were conducted following randomised cross‐over study designs in groups of six animals (three males and three females). HF relationships were constructed individually. The extent of the HF relationships might slightly differ between animals. Only increments in HR HF oscillations common to all animals were used for constructing mean relationships and statistical comparisons for fixed increments. Drug‐induced effects on HF oscillations were compared with those of vehicle for each increment in HF relationships using an ANOVA followed by an LSD test (Fisher's Least Significant Difference test) in the case of multiple comparisons. Experiments with increasing dose levels were conducted separately on different groups of animals at different periods for each dose level (hERG blocker vs. vehicle). This explains some small changes in variability (SEM) between vehicle sessions depending on dose levels. Experiments with atenolol were undertaken on the same group of animals (hERG blocker alone, hERG blocker + atenolol vs. vehicle).
Drugs
Dofetilide was purchased from Sequoia Research Product Ltd. (Pangbourne, UK). This molecule was dissolved in water. Atenolol (1 mg·kg−1, i.v.) was used for blockade of β1 adrenoceptors. Atenolol was purchased from Sigma‐Aldrich (Saint Quentin, France). This agent was dissolved in saline. Other hERG blockers were dissolved in water or 0.5% methylcellulose. Dose levels reported in the present study were chosen on the basis of preliminary trials in two animals for ethical reasons. Dose levels were increased according to a semi‐log progression until evidence of QT prolongation and/or a vertical shift in the HF relationship was obtained. Dose progression was stopped after the first signs of intolerance, for drugs devoid of effects on the latter parameters. The effects of hERG blockers were studied on groups of six animals. For agents devoid of effect on the HF relationship, we tested the highest dose level only on a group of six animals, except verapamil which was tested at three dose levels.
Results
HF oscillations in beagle dogs
Detailed inspection of typical ECG traces collected in free treatment conditions from the same dog during HF oscillations revealed that QT interval oscillations are lower for low HR oscillations (Figure 1A) when compared with medium HF oscillations (Figure 1B) and larger for large HF oscillations (Figure 1C). Plotting the beat‐to‐beat HR and QT interval values versus the individual mean QT/RR relationship revealed that beat‐to‐beat changes in QT interval follow the mean QT/RR relationship in accordance with the well‐known rate dependence of QT interval upon RR interval (Figure 1D). It should be noted that large HF oscillations corresponded to HF oscillations including transient sequences of increasing HR visible from both the ECG trace and from the comparison with the mean QT/RR relationship. They were characterized by the presence of short RR intervals coexisting with large RR intervals. Because of the curvature of the QT/RR relationship for low RR intervals, the magnitude of the QT interval changes during HF oscillations was increased. As shown in Figure 1D, large HF oscillations were associated with QT shortening for high RR interval values (plateau of the QT/RR relationship).
Effect of atenolol on the HF relationship
In vehicle sessions, the HF relationship confirmed that HF QT oscillations were progressively increased when HF HR oscillations were increased (Figure 2A). Blockade of β1‐adrenoceptors by atenolol reduced the largest HF oscillations of HR (70 bpm with atenolol instead of 90 bpm with vehicle, Figure 2A). The main consequence was a decrease in HF QT oscillations by −4.3 ± 1.7 ms (P ≤ 0.05) for the largest HF HR oscillations when compared with vehicle. In the experiment reported, atenolol (1 mg·kg−1, i.v.) had no statistically significant effect on mean HR calculated over a 1 h period when compared with vehicle (Figure 2B). This demonstrates that the basal level of sympathetic activation was low in this experiment. This finding is not unimportant. Indeed, the lack of changes in mean HR suggests that the HF relationship could allow detection of signs of transient sympathetic activation even in conditions where mean HR remains unchanged.
Figure 2.

(A) Atenolol (1 mg·kg−1, i.v.) caused a moderate shift of high‐frequency (HF) oscillations towards lower levels. As a consequence, it decreased by −4.3 ± 1.7 ms (P ≤ 0.05) the QT interval of HF oscillations for medium and large oscillations when compared with vehicle. Time period used for building relationships: 1 to 7 h post dosing. (B) Time course of heart rate over a 24 h period following the administration of atenolol compared with vehicle. In this experiment, the mean heart rate calculated over 1 h periods remained unchanged after the administration of atenolol (n = 6, P > 0.05, when compared with vehicle). Data are presented as mean values ± SEM.
β1‐adrenoceptors contribute to the effects of the torsadogenic hERG blockers on the HF relationship
As in cynomolgus monkeys (Champeroux et al., 2015), dofetilide (1 mg·kg−1, p.o.) caused a vertical shift of the relationship when compared with vehicle (Figure 3A: vertical shift for large HF oscillations: +21.7 ± 3.6 ms, P ≤ 0.01). The vertical shift induced by dofetilide was still statistically significant in the presence of atenolol when compared with vehicle. Dofetilide effects alone or in the presence of atenolol were not statistically different (P > 0.05, dofetilide alone vs, dofetilide + atenolol) for the same HF oscillations increments, but atenolol induced a decrease in vertical shift for the largest HF oscillations (−15.3 ± 6.3 ms, P ≤ 0.05, dofetilide alone vs. dofetilide + atenolol). Sotalol (30 mg·kg−1, p.o.) had a similar profile with regard to its intrinsic effects on β1‐adrenoceptors (Figure 3B). However, the vertical shift was less pronounced and not statistically significant (P > 0.05) when compared with vehicle except for the largest HF oscillations (+3.8 ± 0.5 ms, P ≤ 0.05, sotalol vs. vehicle). Four other torsadogenic hERG blockers were tested in the absence and presence of atenolol: thioridazine, quinidine, risperidone and terfenadine (Redfern et al., 2003; Vieweg et al., 2008). All these hERG blockers induced a vertical shift in the HF relationship (Figure 4) except terfenadine, which induced a vertical shift for low/medium HF oscillations only. Atenolol suppressed these shifts in all cases (P > 0.05, when compared with vehicle sessions). Three other hERG blockers were also found to cause vertical shifts in the HF relationship: cisapride, haloperidol and moxifloxacin (Figures S7–S9).In contrast, five other hERG blockers did not induce any vertical shift of the HF relationship: ciprofloxacin, ebastine, phenytoin, nicardipine and verapamil (Figures S10–S11). HF relationships were produced at increasing doses for nine hERG blockers (Figures S2–S10). Table 1 reports a summary of dose levels at which a vertical shift and first changes in HF HR oscillations respectively were observed. Effects on QTc and mean HR associated with effects on HF HR oscillations are also provided. In four cases (thioridazine, quinidine, haloperidol and cisapride), effects on HR HF oscillations were observed at lower doses than the first dose producing a vertical shift in the HF relationship (Table 1). Of all the hERG blockers tested that caused a vertical shift, none caused a vertical shift before causing a shift in the HF relationship towards larger HF HR oscillations and an increase in HR HF oscillations. Moxifloxacin was the only hERG blocker that caused a vertical shift and decreased the HF oscillations. Among the quinolones, moxifloxacin was associated with the greatest risk of TdP, whereas ciprofloxacin was associated with the lowest TdP rate (Briasoulis et al., 2011), this latter molecule being devoid of an effect on the HF relationship. hERG blockers associated with a low risk for TdP (phenytoin, ebastine, ciprofloxacin, verapamil and nicardipine) were unable to produce a vertical shift in the HF relationship or an increase in HR HF oscillations (Table 1).
Figure 3.

(A) Dofetilide (1 mg·kg−1, p.o.) caused a large vertical shift in the high‐frequency (HF) relationship for low, medium and large HF oscillations. Vertical shift induced by dofetilide still remains statistically significant in the presence of atenolol (1 mg·kg−1, i.v.) when compared with vehicle. Atenolol tended to reduce this effect, but dofetilide effects alone or in the presence of atenolol were not statistically different (P > 0.05, dofetilide alone versus dofetilide + atenolol) except a decrease in vertical shift for large HF oscillations (−15.3 ± 6.3 ms, P ≤ 0.05). (B) Sotalol (30 mg·kg−1, p.o.) had a similar profile with regard to its intrinsic β1 adrenoceptors properties. However, the vertical shift was less pronounced and not statistically significant (P > 0.05) when compared with vehicle except for the largest HF oscillations (+3.8 ± 0.5 ms). The common pattern of these two torsadogenic hERG blockers is their ability to cause a residual vertical shift in the HF relationship even in the presence of blockade of β1 adrenoceptors. Time period used for building relationships: 2 to 9 h post dosing for dofetilide, 1 to 5 h post dosing for sotalol. Data are presented as mean values ± SEM (n = 6, *: P ≤ 0.05, **: P ≤ 0.01 when compared with vehicle).
Figure 4.

Thioridazine (20 mg·kg−1, p.o.), quinidine (30 mg·kg−1, p.o.), risperidone (1 mg·kg−1, p.o.) and terfenadine (30 mg·kg−1, p.o.) caused vertical shifts in the high‐frequency (HF) relationship. Atenolol (1 mg·kg−1, i.v.) suppressed these shifts in all cases (P > 0.05, when compared with vehicle sessions). The common pattern of these torsadogenic hERG blockers was an absence of residual vertical shift during blockade of β1‐adrenoceptors. Data are presented as mean values ± SEM (n = 6 per molecule, *: P ≤ 0.05, **: P ≤ 0.01 when compared with vehicle).
Table 1.
Summary of the effects of 14 hERG blockers on HF relationship. This table reports the first dose level (in mg·kg−1) at which a vertical shift of HF relationship was observed (VS) in comparison with the first dose at which an increase in HR HF oscillations was found (Champeroux et al., 2015)
| hERG blockers | VS (mg·kg−1) | HF HR (mg·kg−1) | HR (bpm) | QTc (ms) | Puurkinje profile |
|---|---|---|---|---|---|
| Dofetilidea | 0.1 | 0.1 | +9.4 ± 3.4 (**) | +24.5 ± 5.2 (**) | A1 |
| DL sotalol | 30 | 30 | NS | +36.8 ± 4.6 (**) | A1 |
| Quinidine | 30 | 10 | NS | +11.3 ± 2.1 (*) | A2 |
| Terfenadinea | 30 | 30 | +11.9 ± 3.8 (**) | +18.5 ± 3.2 (**) | A2 |
| Cisapride | 6 | 2 | +15.3 ± 3.4 (**) | +7.8 ± 3.2 (*) | A2 |
| Thioridazine | 20 | 1.5 | +10.3 ± 2 (*) | NS | A2 |
| Haloperidol | 10 | 1 | +16.3 + 16.3 ± 6(**) | NS | A2 |
| Risperidonea | 1 | 1 | +10.1 + 4.3(*) | +18.4 ± 4.4 (**) | B |
| Moxifloxacin | 90 | Decrease (90) | NS | +41.6 ± 6.8 (**) | B |
| Ciprofloxacin | NS (100) | NS (100) | NS | +7.4 ± 3.7(*) | C |
| Ebastine | NS (30) | Decrease (90) | NS | +14.2 ± 5.5(**) | C |
| Phenytoin | NS (100) | NS (100) | +14.5 ± 4.3(*) | NS | C |
| Nicardipine | NS (30) | Decrease (30) | +86.3 ± 4.2(**) | −32.5 ± 4.1(**) | C |
| Verapamil | NS (30) | Decrease (30) | +17.6 ± 4.3(**) | −17.3 ± 3.7(**) | C |
No lower dose levels were tested on groups of six animals with these molecules. Maximum effects on mean heart rate and QTc (probabilistic method) found at the first dose producing an increase in HR HF oscillations were provided in parallel. Data are presented as mean values ± SEM (n = 6, NS: P > 0.05,
P ≤ 0.05,
P ≤ 0.01 when compared with vehicle). Purkinje profile: electrophysiological profile defined from isolated Purkinje fibres experiments (Champeroux et al., 2005).
Arrhythmic properties of dofetilide in dogs
Analyses of ECG traces in dofetilide‐treated dogs confirmed the presence of large HF oscillations. These large HF oscillations were characterized by transient rhythmic sequences of increasing HR followed by a large pause (Figure 5A). This pattern was observed in all animals injected with dofetilide. In four out of six dogs, these transient sequences of increasing HR were associated with conduction disturbances originating from the conductive network. These conduction disturbances were characterized by bundle branch blocks (BBB) systematically seen during the first beats of increasing HR sequences (Figure 5B, Figure S12 for a zoomed view). Atenolol did not prevent the occurrence of BBB during HF oscillations. However, atenolol did suppress the dofetilide‐induced premature ventricular beats seen in three out of six dogs (Figure S13).
Figure 5.

Examples of ECG traces collected from a beagle dog administered dofetilide (1 mg·kg−1, p.o.) showing: (A) transient rhythmic sequences of increasing heart rate followed by a pause. (B) Left bundle branch blocks systematically seen during the first beats of transient sequences of increasing heart rate.
Discussion
The HF relationship
Changes in beat‐to‐beat QT interval duration follow an inverse relationship to beat‐to‐beat HR changes in accordance with the well‐known rate‐dependence of QT interval upon HR. This relationship is very well preserved even for very short 10 s sampling sequences (Figure 1D, Holzgrefe et al., 2007). The HF oscillations are a direct consequence of this rate‐dependency. The main source of fast variations in cardiac rhythm is driven by the parasympathetic nervous system through rhythmic cycles of activation/deactivation. This limb of the autonomic nervous system is responsible for very fast changes in beat‐to‐beat HR generating rhythmic oscillations at a frequency greater than 0.1 Hz, that is, a time period less than 10 s (Pagani et al., 1986; Champeroux et al., 2013). The larger HF oscillations of the HF relationship are characterized by transient sequences of increasing HR coexisting with parasympathetic‐mediated HR oscillations. These transient sequences of increasing HR during large HF oscillations are mediated by β1‐adrenoceptors, as large HF oscillations were suppressed in the presence of atenolol. We noted that large HF oscillations were associated with QT shortening for high RR interval values, that is, during the plateau of the QT/RR relationship. This finding suggests that the hysteresis phenomenon (Pelchovitz et al., 2012) might play a role during large HF oscillations. This phenomenon has been largely studied in man in particular during exercise sessions; it involves successive phases. During exercise, the parasympathetic system is deactivated, which is followed by activation of the sympathetic system. During recovery from the exercise phase, there is an early parasympathetic reactivation with persistent, but declining, sympathetic excitation. During this particular phase of the hysteresis phenomenon, both systems are active, and this phase is associated with a QT shortening (Pelchovitz et al., 2012) as we observed during large HF oscillations in dogs. Interestingly, increased pro‐arrhythmic risk has been reported in women when compared with men (healthy subjects) because of a greater QT interval during the recovery phase of the hysteresis phenomenon (Chauhan et al., 2002).
β1‐adrenoceptors contribute to the effects of the torsadogenic hERG on the HF relationship
Several hERG blockers in our dataset were found to increase HF QT oscillations either by prolonging the relationship towards large HF HR oscillations and/or by causing a vertical shift in the HF relationship depending on dose. Both mechanisms involve β1‐adrenoceptors because they were fully or partially prevented by atenolol depending on the torsadogenic drug being studied. As previously found after temporal analysis under full autonomic blockade (Champeroux et al., 2015), a residual vertical shift in the HF relationship was also visible with dofetilide during β1‐adrenoceptor blockade. This result strongly supports a previously proposed hypothesis that this component of QT interval variability is a consequence of beat‐to‐beat variability of repolarisation (BVR). This hypothesis accords with the increases in BVR described earlier with several hERG blockers in in vitro models of cardiomyocytes (Abi‐Gerges et al., 2010; Oros et al., 2010) and in ex. vivo preparations of isolated perfused heart (Hondeghem et al., 2001). For four torsadogenic hERG blockers (thioridazine, quinidine, risperidone and terfenadine), the vertical shift was fully prevented by β1‐adrenoceptor blockade. Because the sympathetic system alone does not cause any significant vertical shift in medium and high ranges of HR HF oscillations, these data also strongly support a synergistic mechanism between BVR and the sympathetic nervous system. An analysis of the dose‐dependence of torsadogenic hERG blockers effects on HR HF oscillations and vertical shift of the HF relationship demonstrated that both effects can be dissociated, also supporting the hypothesis that the first, initial effect (i.e. β1‐adrenoceptor stimulation) has a synergistic action on the second one (increase in BVR). Such a synergistic effect of the sympathetic system on QT interval variability has already been reported in patients with congenital LQT syndromes infused with adrenaline (Satomi et al., 2005).
Two different profiles for the effects of torsadogenic hERG blockers on the HF relationship
When sotalol was used as a β1‐adrenoceptor blocking agent, it was found that BVR properties related to its electrophysiological profile can alone be responsible for an increase in QT interval variability only in the presence of parasympathetic‐mediated HF oscillations. With dofetilide, they constitute a subgroup of torsadogenic drugs with the common property that they can still cause a vertical shift in the HF relationship even when the β1‐adrenoceptors are blocked. As stated previously, multiple ion channels are likely to be involved in this increase in BVR. In the case of dofetilide or sotalol, the late Na+ current (late I Na) has been demonstrated to have a role in the BVR and it was established that it is closely linked with the residual shift in the HF relationship. Indeed, this late Na+ current is increased by these two hERG blockers (Yang et al., 2014) and contributes to the enhancement of their lengthening effect on action potential duration (APD). Moreover, this late I Na increase also contributes to the enhancement of the reverse rate‐dependent effect on APD mediated by these drugs. This synergistic effect on APD and reverse rate‐dependence was reported to enhance BVR at low pacing rates in particular and may be responsible for triggering TdP in isolated, paced rabbit hearts (Wu et al., 2011). Furthermore, an increase in late I Na has been proposed to facilitate early and delayed after depolarisations, triggered arrhythmias and cellular Ca2+ loading, causing in turn an increase in spatial and temporal dispersion of ventricular repolarisation (Shryock et al., 2013). The other four torsadogenic hERG blockers tested in the presence of atenolol (thioridazine, quinidine, haloperidol and cisapride) do not have the same electrophysiological profile. They can be differentiated from the first subgroup by the fact that no residual vertical shift in the HF relationship was observed after blockade of β1‐adrenoceptors. These findings strongly support a role for specific ion channels in addition to hERG blocking properties as a major determinant for the arrhythmic risk of hERG blockers in the presence of autonomic HF oscillations. This subdivision of hERG blockers into two subgroups fits well with the identification of two electrophysiological profiles (named A1 and A2 profiles) drawn from isolated canine Purkinje fibre experiments (Champeroux et al., 2005), which were later confirmed in patch‐clamp assays (Champeroux et al., 2011). In these previous studies, the electrophysiological profile of this second subgroup was associated with common properties of fast I Na current inhibition. However, the specific arrhythmic effect involving multiple ion channels attributed to the second subgroup, the most numerous, remains to be confirmed. This conclusion fully supports the CIPA process (CIPA: Comprehensive In vitro Proarrhythmia Assay) for better understanding and predicting the risk of drug‐induced TdP (Cavero and Holzgrefe, 2014).
Mechanisms of BBB and transient increases in heart rate
The conduction disturbances seen with dofetilide are characterized by BBB occurring during the first beats of transient sequences of increasing HR. A lengthening of the ventricular repolarisation induced by dofetilide could be responsible for conduction disturbances in the absence of autonomic control (Farkas et al., 2006). Indeed, while repolarisation is incomplete in the presence of prolonged action potential duration, recovery of the voltage‐dependent sodium channels from the inactivated state is slowed, which results in reduced conduction (Carmeliet, 1999). Such conduction disturbances are known to occur in various pathological situations in association with QT prolongation. They are triggered when HR is increased after a long pause so that an action potential arises before repolarisation of the preceding action potential has finished (Boyden, 1996). Furthermore, it is well documented that a long cycle length or pause increases the effect of hERG blockers on action potential duration. This conduction slowing being effective after a long pause is why BBB were triggered during the first beats of transient sequences of increased HR following a pause. Purkinje fibres in the conductive network are particularly sensitive to this mechanism and the lengthening effects of dofetilide on action potential duration (Champeroux et al., 2005). In the present study, we demonstrated that the mechanism responsible for these transient sequences of increased HR involve transient sympathetic stimulation during HF oscillations in the presence of torsadogenic hERG blockers. Increased sympathetic activity introduces further favourable conditions for triggering ventricular arrhythmic events (Baumert et al., 2011; Leenhardt et al., 2012). Preceding ventricular arrhythmias were reported as increasing the probability of TdP occurring (Farkas et al., 2010). Large pauses seen in the presence of dofetilide were rhythmic and are thus mediated by vagal activity. Vagal nerve activity has been demonstrated to play an essential role in the generation of hERG‐induced TdP (Farkas et al., 2008). Such a pattern, that is, a large pause following an increase in heart rate, has been previously described in patients with acquired (Locati et al., 1995) or congenital (Noda et al., 2004) LQT syndromes. In these latter situations, a marked pause precedes the onset of TdP. A review of case studies from the literature showed that the majority (74%) of spontaneous TdP seen in congenital LQT syndromes were pause‐dependent (Viskin et al., 2000). We also reported this pattern for dofetilide‐induced TdP in cynomolgus monkeys (Champeroux et al., 2015). Noteworthy signs of slowed conduction associated with premature ventricular beats have also been recorded in this latter model of TdP (Figures S14–S16). Dofetilide did not produce TdP in healthy beagle dogs, in accordance with the fact that this species requires ventricular remodelling (such as chronic atrioventricular block) as a prerequisite for TdP induction (Dunnink et al., 2012). This mechanism responsible for these transient sequences of sympathetic activation and increased HR during HF oscillations is triggered even under conditions of mild QT prolongation, because an increase in HR HF oscillations was found with all the torsadogenic agents tested under conditions of moderate QT prolongation. The results with thioridazine show that this phenomenon can occur even in conditions of apparent absence of QT prolongation, a situation where the sympathetic system itself was found to mask thioridazine‐induced QT prolongation (Champeroux et al., 2010). Conversely, QT prolongation is not systematically associated with transient sequences of sympathetic activation and increased HR. The results with moxifloxacin that induces a marked QT prolongation in dogs illustrate such a situation. In conclusion, this study puts known arrhythmic mechanisms into the context of autonomic HF oscillations. This part of the discussion is summarised in the Figure 6.
Figure 6.

This figure puts known arrhythmic mechanisms of dofetilide into the context of high‐frequency (HF) oscillations. The blockade of hERG (Kv11.1) channels causes prolongation of the action potential duration (APD). This effect is enhanced by an increase in I Na. Both effects contribute to an increase in beat to beat variability of ventricular repolarisation (BVR). A sympathetic (Σ) driven increase in heart rate (HR) followed by a large pause precedes the onset of Torsades de Pointes (TdP). TdP are triggered in the presence of increased BVR through a synergistic action with parasympathetic (pΣ) HF oscillations, sympathetic driven ventricular premature beats and conduction disturbances.
Implications
Analysis of vertical shift in the HF relationship seems to be an interesting biomarker for TdP liability. This biomarker is clearly more sensitive than the short‐term QT interval variability, that is, STVQT (Thomsen et al., 2004) that was found to be positive in dogs with only a limited number of torsadogenic hERG blockers (Champeroux et al., 2015). When compared with HR HF oscillations, it offers the advantage of making reference to QT interval variability. In parallel, HR HF oscillations can be also considered to have potential as a sensitive tool for detection of signs of mild sympathetic activation without or with little impact on HR. One of the major interests of both biomarkers lies in its applicability to safety pharmacology in preclinical studies conducted in healthy animals. This point is essential because specific and reliable biomarkers are still currently lacking for such studies, QT prolongation is now considered a poor indicator of TdP liability. Moreover, the close link between this biomarker and the role of HF oscillations should affect current and future efforts made for designing standardised in vitro assays dedicated to prediction of drug‐induced arrhythmic risk. Indeed, in vitro models are designed exclusively under fixed pacing rates conditions. Our results strongly suggest that in vitro experiments designed with oscillatory pacing rates might be more suitable for a detection of arrhythmic profiles, as previously proposed (Green et al., 2011). The same recommendation can be applied to in silico modelling derived from multiple ion channel, patch‐clamp assays. For clinical applications, numerous studies have been conducted with the aim of finding sensitive and early biomarkers in various cardiovascular diseases. This new biomarker is likely to provide sensitive information, more sensitive than STVQT, in particular in the context of increased sympathetic activity, probable increased QT interval variability and/or LQT syndrome (Shamsuzzaman et al., 2003; Hinterseer et al., 2009). Finally, by demonstrating a synergistic action on QT interval variability involving the sympathetic system, this study fully supports therapeutic strategies leading to a reduction in sympathetic activity, such as left cardiac sympathetic denervation (Bos et al., 2013) and β‐blocker therapy (Moss et al., 2000; Viitasalo et al., 2006) in LQT syndromes.
Conflict of interest
The authors state no conflict of interest.
Supporting information
Figure S1 HF relationship from HF QT oscillations (HF QT) against HF HR oscillations (HF HR). B: HF relationship from QT interval HF oscillations (HF QT) against RR interval (HF RR). Note the lack of HF QT dependency on HF RR compared to HF HR.
Figure S2 Effect of dofetilide on HF relationship at doses of 0.1, 0.3 and 1 mg/kg by the oral route in beagle dogs. Time periods used for building relationships: 0.1 and 0.3 mg/kg: 1 to 8 hours post dosing, 1 mg/kg: 2 to 9 hours post dosing. No lower dose levels were tested on groups of six animals. The NOEL (no effect level was not been characterised. Data are presented as mean values ± SEM (n = 6, *: P ≤ 0.05, **: P ≤ 0.01 when compared to vehicle). Experiments were conducted on different groups of animals.
Figure S3 Effect of DL sotalol on HF relationship at doses of 3, 10 and 30 mg/kg by the oral route in beagle dogs. Time periods used for building relationships: 3 and 10 mg/kg: 1 to 6 hours post dosing, 30 mg/kg: 1 to 5 hours post dosing. Data are presented as mean values ± SEM (n = 6, *: P ≤ 0.05 when compared with vehicle). Experiments were conducted on different groups of animals.
Figure S4 Effect of thioridazine on the HF relationship at doses of 1.5, 5 and 20 mg/kg by the oral route in beagle dogs. Time periods used for building relationships: 1.5 mg/kg: 1 to 9 hours post dosing, 5 mg/kg: 1 to 6 hours post dosing, 20 mg/kg: 1 to 8 hours post dosing. Data are presented as mean values ± SEM (n = 6, *: P ≤ 0.05, **: P ≤ 0.01 when compared with vehicle). Experiments were conducted on different groups of animals.
Figure S5 Effect of quinidine on HF relationship at doses of 3, 10 and 30 mg/kg by the oral route in beagle dogs. Time periods used for building relationships: 3 and 10 mg/kg: 1 to 5 hours post dosing, 30 mg/kg: 1 to 4 hours post dosing. Data are presented as mean values ± SEM (n = 6, *: P ≤ 0.05, **: P ≤ 0.01 when compared to vehicle). Experiments were conducted on different groups of animals.
Figure S6 Effect of terfenadine on HF relationship at doses of 30 and 100 mg/kg by the oral route in beagle dogs. Time periods used for building relationships: 30 mg/kg: 11 to 17 hours post dosing, 100 mg/kg: 17 to 24 hours post dosing. Peak of effects on QTc were delayed and in the middle of selected time ranges. No lower dose levels were tested on groups of six animals. The NOEL (no effect level) was not been characterised. Data are presented as mean values ± SEM (n = 6, *: P ≤ 0.05 when compared to vehicle).
Figure S7 Effect of cisapride on HF relationship at doses of 0.6, 2 and 6 mg/kg by the oral route in beagle dogs. Time periods used for building relationships: 0.6 and 2 mg/kg: 1 to 8 hours post dosing, 6 mg/kg: 2 to 10 hours post dosing. Data are presented as mean values ± SEM (n = 6, *: P ≤ 0.05 when compared to vehicle).
Figure S8 Effect of haloperidol on HF relationship at doses of 1, 3 and 10 mg/kg by the oral route in beagle dogs. Time periods used for building relationships: 1 and 3 mg/kg: 1 to 8 hours post dosing, 10 mg/kg: 3 to 9 hours post dosing. Data are presented as mean values ± SEM (n = 6, *: P ≤ 0.05 when compared to vehicle).
Figure S9 Effect of moxifloxacin on HF relationship at doses of 10, 30 and 90 mg/kg by the oral route in beagle dogs. Time periods used for building relationships: 10 mg/kg: 1 to 8 hours post dosing, 30 and 90 mg/kg: 1 to 7 hours post dosing. Data are presented as mean values ± SEM (n = 6, *: P ≤ 0.05 when compared to vehicle).
Figure S10 Effect of moxifloxacin on HF relationship at doses of 3, 10 and 30 mg/kg by the oral route in beagle dogs. Time periods used for building relationships: 1 to 7 hours post dosing for all dose levels. Data are presented as mean values ± SEM (n = 6, P > 0.05 when compared to vehicle).
Figure S11 HF relationships for hERG blockers devoid of effects in beagle dogs and reported in the main document: ciprofloxacin (A: 100 mg/kg, p.o.), ebastine (B: 30 mg/kg, p.o.), nicardipine (C: 30 mg/kg, p.o.) and phenytoin (D: 100 mg/kg, p.o.). Data are presented as mean values ± SEM (n = 6, NS: P > 0.05 when compared to vehicle).
Figure S12 Zoomed view of one of bundle branch block reported in the Figure 5B from a beagle dog dosed with dofetilide (1 mg/kg, p.o.).
Figure S13. Beagle dogs were dosed with dofetilide (1 mg/kg, p.o., DOF) plus vehicle of atenolol or atenolol (1 mg/kg, i.v., ATE) according to a cross‐over design (n = 6). Bundle branch blocks were seen in 4 out of 6 dogs, premature ventricular beats in 3 out of 6 dogs. In atenolol treated dogs, bundle branch blocks were still present while premature ventricular beats were absent.
Figure S14 Example of ECG trace collected from a cynomolgus monkey dosed with dofetilide (1 mg/kg, p.o.) showing rhythmic increasing heart rate sequences followed by a pause associated with bundle branch block (BBB) and premature ventricular beat (PVB).
Figure S15 Example of ECG trace collected from a cynomolgus monkey dosed with dofetilide (1 mg/kg, p.o.) showing arrhythmic events preceding one Torsades de Pointes (TdP) episode. Signs of slowed conduction are visible (BBB: bundle branch block). These signs of slowed conduction were frequently observed before the onset of TdP episodes in cynomolgus monkeys dosed with dofetilide (1 mg/kg, p.o.). Premature ventricular beat was the last arrhythmic event preceding the initiation of TdP episode. This event was quite systematically observed just before the onset of TdP episodes in cynomolgus monkeys dosed with dofetilide (1 mg/kg, p.o.).
Figure S16 Continued from Figure S7. Signs of slowed conduction are visible (BBB and AVB) when the TdP episode terminates. The presence of BBB was frequently observed at the end of TdP episodes induced by dofetilide (1 mg/kg, p.o.) in cynomolgus monkeys. Presence of AVB was much less frequent. These data show that TdP occur in a context of slowed conduction in the conductive network. BBB: bundle branch block, AVB: 2nd degree atrio‐ventricular block. PVB: premature ventricular beat.
Supporting info item
Acknowledgements
Research studies were designed by P. C. Experiments were conducted by S. J., C. L. and A. M. Data analysis and interpretation were performed by P. C. Manuscript was written by P. C., J. T., J. Y. L. and critically evaluated by all authors. We acknowledge the contribution of D. Bouard, C. Roubinet and J. Planté for their experimental assistance.
Champeroux, P. , Le Guennec, J. Y. , Jude, S. , Laigot, C. , Maurin, A. , Sola, M. L. , Fowler, J. S. L. , Richard, S. , and Thireau, J. (2016) The high frequency relationship: implications for torsadogenic hERG blockers. British Journal of Pharmacology, 173: 601–612. doi: 10.1111/bph.13391.
References
- Abi‐Gerges N, Valentin JP, Pollard CE (2010). Dog left ventricular midmyocardial myocytes for assessment of drug‐induced delayed repolarization: short‐term variability and proarrhythmic potential. Br J Pharmacol 159: 77–92. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Abi‐Gerges N, Holkham H, Jones EM, Pollard CE, Valentin JP, Robertson GA (2011). hERG subunit composition determines differential drug sensitivity. Br J Pharmacol 164: 419–432. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Alexander SPH, Benson HE, Faccenda E, Pawson AJ, Sharman JL, Catterall WA et al. (2013a). The concise guide to pharmacology 2013/14: ion channels. Br J Pharmacol 170: 1607–1651. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Alexander SPH, Benson HE, Faccenda E, Pawson AJ, Sharman JL, McGrath JC et al. (2013b). The Concise Guide to PHARMACOLOGY 2013/14: G protein‐coupled receptors. Br J Pharmacol 170: 1459–1581. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Baumert M, Schlaich MP, Nalivaiko E, Lambert E, Sari CI, Kaye DM et al. (2011). Relation between QT interval variability and cardiac sympathetic activity in hypertension. Am J Physiol Heart Circ Physiol 300: 1412–1417. [DOI] [PubMed] [Google Scholar]
- Bos JM, Bos KM, Johnson JN, Moir C, Ackerman MJ (2013). Left cardiac sympathetic denervation in long QT syndrome: analysis of therapeutic nonresponders. Circ Arrhythm Electrophysiol 6: 705–711. [DOI] [PubMed] [Google Scholar]
- Boyden PA (1996). Cellular electrophysiologic basis of cardiac arrhythmias. Am J Cardiol 78: 4–11. [DOI] [PubMed] [Google Scholar]
- Briasoulis A, Agarwal V, Pierce WJ (2011). QT prolongation and torsade de pointes induced by fluoroquinolones: infrequent side effects from commonly used medications. Cardiology 120: 103–110. [DOI] [PubMed] [Google Scholar]
- Carmeliet E (1999). Cardiac ionic currents and acute ischemia: from channels to arrhythmias. Physiol Rev 79: 917–1017. [DOI] [PubMed] [Google Scholar]
- Cavero I, Holzgrefe H (2014). Comprehensive in vitro Proarrhythmia Assay, a novel in vitro/in silico paradigm to detect ventricular proarrhythmic liability: a visionary 21st century initiative. Expert Opin Drug Saf 13: 745–758. [DOI] [PubMed] [Google Scholar]
- Champeroux P, Viaud K, El Amrani AI, Fowler JS, Martel E, Le Guennec JY et al. (2005). Prediction of the risk of Torsade de Pointes using the model of isolated canine Purkinje fibres. Br J Pharmacol 144: 376–385. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Champeroux P, Ouillé A, Martel E, Fowler JS, Maurin A, Jude S et al. (2010). Interferences of the autonomic nervous system with drug induced QT prolongation: a point to consider in non‐clinical safety studies. J Pharmacol Toxicol Methods 61: 251–263. [DOI] [PubMed] [Google Scholar]
- Champeroux P, Ouillé A, Martel E, Fowler JS, Maurin A, Richard S et al. (2011). A step towards characterisation of electrophysiological profile of torsadogenic drugs. J Pharmacol Toxicol Methods 63: 269–278. [DOI] [PubMed] [Google Scholar]
- Champeroux P, Martel E, Jude S, Laigot C, Laveissière A, Weyn‐Marotte AA et al. (2013). Power spectral analysis of heart rate variability in cynomolgus monkeys in safety pharmacology studies: Comparative study with beagle dogs. J Pharmacol Toxicol Methods 68: 166–174. [DOI] [PubMed] [Google Scholar]
- Champeroux P, Thireau J, Jude S, Laigot C, Maurin A, Sola ML, et al. (2015). Dofetilide induced QT interval short term variability and ventricular arrhythmias are dependent on high frequency autonomic oscillations. Br J Pharmacol 172: 2878–2891. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Chauhan VS, Krahn AD, Walker BD, Klein GJ, Skanes AC, Yee R (2002). Sex differences in QTc interval and QT dispersion: dynamics during exercise and recovery in healthy subjects. Am Heart J 144: 858–864. [DOI] [PubMed] [Google Scholar]
- Di Veroli GY, Davies MR, Zhang H, Abi‐Gerges N, Boyett MR (2014). hERG inhibitors with similar potency but different binding kinetics do not pose the same proarrhythmic risk: implications for drug safety assessment. J Cardiovasc Electrophysiol 25: 197–207. [DOI] [PubMed] [Google Scholar]
- Dunnink A, van Opstal JM, Oosterhoff P, Winckels SK, Beekman JD, van der Nagel R et al. (2012). Ventricular remodelling is a prerequisite for the induction of dofetilide‐induced torsade de pointes arrhythmias in the anaesthetized, complete atrio‐ventricular‐block dog. Europace 14: 431–436. [DOI] [PubMed] [Google Scholar]
- Ettinger SJ, Suter PF (1970). Canine cardiology. WB Saunders Company: Philadelphia: 1–616. [Google Scholar]
- Farkas AS, Acsai K, Tóth A, Dézsi L, Orosz S, Forster T et al. (2006). Importance of extracardiac alpha1‐adrenoceptor stimulation in assisting dofetilide to induce torsade de pointes in rabbit hearts. Eur J Pharmacol 537: 118–125. [DOI] [PubMed] [Google Scholar]
- Farkas A, Dempster J, Coker SJ (2008). Importance of vagally mediated bradycardia for the induction of torsade de pointes in an in vivo model. Br J Pharmacol 154: 958–970. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Farkas AS, Rudas L, Makra P, Csík N, Leprán I, Forster T et al. (2010). Biomarkers and endogenous determinants of dofetilide‐induced torsades de pointes in α(1) ‐adrenoceptor‐stimulated, anaesthetized rabbits. Br J Pharmacol 161: 1477–1495. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Fossa AA (2008). The impact of varying autonomic states on the dynamic beat‐to‐beat QT‐RR and QT‐TQ interval relationships. Br J Pharmacol 154: 1508–1515. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Green JR, Diaz GJ, Limberis JT, Houseman KA, Su Z, Martin RL et al. (2011). Ventricular rate adaptation: a novel, rapid, cellular‐based in‐vitro assay to identify proarrhythmic and torsadogenic compounds. J Pharmacol Toxicol Methods 64: 68–73. [DOI] [PubMed] [Google Scholar]
- Hancox JC, McPate MJ, El Harchi A, Zhang YH (2008). The hERG potassium channel and hERG screening for drug‐induced torsades de pointes. Pharmacol Ther 119: 118–132. [DOI] [PubMed] [Google Scholar]
- Hinterseer M, Beckmann BM, Thomsen MB, Pfeufer A, Dalla Pozza R et al. (2009). Relation of increased short‐term variability of QT interval to congenital long‐QT syndrome. Am J Cardiol 103: 1244–1248. [DOI] [PubMed] [Google Scholar]
- Holzgrefe HH, Cavero I, Gleason CR (2007). Analysis of the nonclinical telemetered ECG: impact of logging rate and RR bin width in the dog and cynomolgus monkey. J Pharmacol Toxicol Methods 56: 34–42. [DOI] [PubMed] [Google Scholar]
- Holzgrefe H, Ferber G, Champeroux P, Gill M, Honda M, Greiter‐Wilke A et al. (2014). Preclinical QT safety assessment: Cross‐species comparisons and human translation from an industry consortium. J Pharmacol Toxicol Methods 69: 61–101. [DOI] [PubMed] [Google Scholar]
- Hondeghem LM, Carlsson L, Duker G (2001). Instability and triangulation of the action potential predict serious proarrhythmia, but action potential duration prolongation is antiarrhythmic. Circulation 103: 2004–2013. [DOI] [PubMed] [Google Scholar]
- Kilkenny C, Browne W, Cuthill IC, Emerson M, Altman DG (2010). NC3Rs Reporting Guidelines Working Group. Animal research: reporting in vivo experiments: the ARRIVE guidelines. Br J Pharmacol 160: 1577–1579. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Leenhardt A, Denjoy I, Guicheney P (2012). Catecholaminergic polymorphic ventricular tachycardia. Circ Arrhythm Electrophysiol 5: 1044–1052. [DOI] [PubMed] [Google Scholar]
- Locati EH, Maison‐Blanche P, Dejode P, Cauchemez B, Coumel P (1995). Spontaneous sequences of onset of torsade de pointes in patients with acquired prolonged repolarization: quantitative analysis of Holter recordings. J Am Coll Cardiol 25: 1564–1575. [DOI] [PubMed] [Google Scholar]
- Moss AJ, Zareba W, Hall WJ, Schwartz PJ, Crampton RS, Benhorin J et al. (2000). Effectiveness and limitations of beta‐blocker therapy in congenital long‐QT syndrome. Circulation 101: 616–623. [DOI] [PubMed] [Google Scholar]
- Nalos L, Varkevisser R, Jonsson MK, Houtman MJ, Beekman JD, van der Nagel R et al. (2012). Comparison of the IKr blockers moxifloxacin, dofetilide and E‐4031 in five screening models of pro‐arrhythmia reveals lack of specificity of isolated cardiomyocytes. Br J Pharmacol 165: 467–478. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Noda T, Shimizu W, Satomi K, Suyama K, Kurita T, Aihara N et al. (2004). Classification and mechanism of Torsade de Pointes initiation in patients with congenital long QT syndrome. Eur Heart J 25: 2149–2154. [DOI] [PubMed] [Google Scholar]
- Oros A, Houtman MJ, Neco P, Gomez AM, Rajamani S, Oosterhoff P et al. (2010). Robust anti‐arrhythmic efficacy of verapamil and flunarizine against dofetilide‐induced TdP arrhythmias is based upon a shared and a different mode of action. Br J Pharmacol 161: 162–175. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Pagani M, Lombardi F, Guzzetti S, Rimoldi O, Furlan R, Pizzinelli P et al. (1986). Power spectral analysis of heart rate and arterial pressure variabilities as a marker of sympatho‐vagal interaction in man and conscious dog. Circ Res 59: 178–193. [DOI] [PubMed] [Google Scholar]
- Pawson AJ, Sharman JL, Benson HE, Faccenda E, Alexander SP, Buneman OP et al. (2014). The IUPHAR/BPS Guide to PHARMACOLOGY: an expert‐driven knowledgebase of drug targets and their ligands. Nucl Acids Res 42 (Database Issue): D1098–D1106. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Pelchovitz DJ, Ng J, Chicos AB, Bergner DW, Goldberger JJ (2012). QT‐RR hysteresis is caused by differential autonomic states during exercise and recovery. Am J Physiol Heart Circ Physiol 302: 2567–2573. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Redfern WS, Carlsson L, Davis AS, Lynch WG, MacKenzie I, Palethorpe S et al. (2003). Relationships between preclinical cardiac electrophysiology, clinical QT interval prolongation and Torsade de pointes for a broad range of drugs: evidence for a provisional safety margin in drug development. Cardiovasc Res 58: 32–45. [DOI] [PubMed] [Google Scholar]
- Satomi K, Shimizu W, Takaki H, Suyama K, Kurita T, Aihara N et al. (2005). Response of beat‐by‐beat QT variability to sympathetic stimulation in the LQT1 form of congenital long QT syndrome. Heart Rhythm 2: 149–154. [DOI] [PubMed] [Google Scholar]
- Shamsuzzaman AS, Ackerman MJ, Kara T, Lanfranchi P, Somers VK (2003). Sympathetic nerve activity in the congenital long‐QT syndrome. Circulation 107: 1844–1847. [DOI] [PubMed] [Google Scholar]
- Shimizu W, Antzelevitch C (1999). Cellular basis for long QT, transmural dispersion of repolarization, and torsade de pointes in the long QT syndrome. J Electrocardiol 32: 177–184. [DOI] [PubMed] [Google Scholar]
- Shryock JC, Song Y, Rajamani S, Antzelevitch C, Belardinelli L (2013). The arrhythmogenic consequences of increasing late INa in the cardiomyocyte. Cardiovasc Res. 99: 600–611. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Thomsen MB, Verduyn SC, Stengl M, Beekman JD, de Pater G, van Opstal J et al. (2004). Increased short‐term variability of repolarization predicts d‐sotalol‐induced torsades de pointes in dogs. Circulation 110: 2453–2459. [DOI] [PubMed] [Google Scholar]
- Vieweg WV, Hasnain M, Hancox JC, Baranchuk A, Digby GC, Kogut C et al. (2008). Risperidone, QTc interval prolongation, and torsade de pointes: a systematic review of case reports. Psychopharmacology (Berl) 228: 515–524. [DOI] [PubMed] [Google Scholar]
- Viitasalo M, Oikarinen L, Swan H, Väänänen H, Järvenpää J, Hietanen H et al. (2006). Effects of beta‐blocker therapy on ventricular repolarization documented by 24‐h electrocardiography in patients with type 1 long‐QT syndrome. J Am Coll Cardiol 48: 747–753. [DOI] [PubMed] [Google Scholar]
- Viskin S, Fish R, Zeltser D, Belhassen B, Heller K, Brosh D et al. (2000). Arrhythmias in the congenital long QT syndrome: how often is torsade de pointes pause dependent? Heart 83: 661–666. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Wu L, Ma J, Li H, Wang C, Grandi E, Zhang P et al. (2011). Late sodium current contributes to the reverse rate‐dependent effect of IKr inhibition on ventricular repolarization. Circulation 123: 1713–1720. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Yang T, Chun YW, Stroud DM, Mosley JD, Knollmann BC, Hong C et al. (2014). Screening for acute IKr block is insufficient to detect Torsades de Pointes liability: role of late sodium current. Circulation 130: 224–234. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Figure S1 HF relationship from HF QT oscillations (HF QT) against HF HR oscillations (HF HR). B: HF relationship from QT interval HF oscillations (HF QT) against RR interval (HF RR). Note the lack of HF QT dependency on HF RR compared to HF HR.
Figure S2 Effect of dofetilide on HF relationship at doses of 0.1, 0.3 and 1 mg/kg by the oral route in beagle dogs. Time periods used for building relationships: 0.1 and 0.3 mg/kg: 1 to 8 hours post dosing, 1 mg/kg: 2 to 9 hours post dosing. No lower dose levels were tested on groups of six animals. The NOEL (no effect level was not been characterised. Data are presented as mean values ± SEM (n = 6, *: P ≤ 0.05, **: P ≤ 0.01 when compared to vehicle). Experiments were conducted on different groups of animals.
Figure S3 Effect of DL sotalol on HF relationship at doses of 3, 10 and 30 mg/kg by the oral route in beagle dogs. Time periods used for building relationships: 3 and 10 mg/kg: 1 to 6 hours post dosing, 30 mg/kg: 1 to 5 hours post dosing. Data are presented as mean values ± SEM (n = 6, *: P ≤ 0.05 when compared with vehicle). Experiments were conducted on different groups of animals.
Figure S4 Effect of thioridazine on the HF relationship at doses of 1.5, 5 and 20 mg/kg by the oral route in beagle dogs. Time periods used for building relationships: 1.5 mg/kg: 1 to 9 hours post dosing, 5 mg/kg: 1 to 6 hours post dosing, 20 mg/kg: 1 to 8 hours post dosing. Data are presented as mean values ± SEM (n = 6, *: P ≤ 0.05, **: P ≤ 0.01 when compared with vehicle). Experiments were conducted on different groups of animals.
Figure S5 Effect of quinidine on HF relationship at doses of 3, 10 and 30 mg/kg by the oral route in beagle dogs. Time periods used for building relationships: 3 and 10 mg/kg: 1 to 5 hours post dosing, 30 mg/kg: 1 to 4 hours post dosing. Data are presented as mean values ± SEM (n = 6, *: P ≤ 0.05, **: P ≤ 0.01 when compared to vehicle). Experiments were conducted on different groups of animals.
Figure S6 Effect of terfenadine on HF relationship at doses of 30 and 100 mg/kg by the oral route in beagle dogs. Time periods used for building relationships: 30 mg/kg: 11 to 17 hours post dosing, 100 mg/kg: 17 to 24 hours post dosing. Peak of effects on QTc were delayed and in the middle of selected time ranges. No lower dose levels were tested on groups of six animals. The NOEL (no effect level) was not been characterised. Data are presented as mean values ± SEM (n = 6, *: P ≤ 0.05 when compared to vehicle).
Figure S7 Effect of cisapride on HF relationship at doses of 0.6, 2 and 6 mg/kg by the oral route in beagle dogs. Time periods used for building relationships: 0.6 and 2 mg/kg: 1 to 8 hours post dosing, 6 mg/kg: 2 to 10 hours post dosing. Data are presented as mean values ± SEM (n = 6, *: P ≤ 0.05 when compared to vehicle).
Figure S8 Effect of haloperidol on HF relationship at doses of 1, 3 and 10 mg/kg by the oral route in beagle dogs. Time periods used for building relationships: 1 and 3 mg/kg: 1 to 8 hours post dosing, 10 mg/kg: 3 to 9 hours post dosing. Data are presented as mean values ± SEM (n = 6, *: P ≤ 0.05 when compared to vehicle).
Figure S9 Effect of moxifloxacin on HF relationship at doses of 10, 30 and 90 mg/kg by the oral route in beagle dogs. Time periods used for building relationships: 10 mg/kg: 1 to 8 hours post dosing, 30 and 90 mg/kg: 1 to 7 hours post dosing. Data are presented as mean values ± SEM (n = 6, *: P ≤ 0.05 when compared to vehicle).
Figure S10 Effect of moxifloxacin on HF relationship at doses of 3, 10 and 30 mg/kg by the oral route in beagle dogs. Time periods used for building relationships: 1 to 7 hours post dosing for all dose levels. Data are presented as mean values ± SEM (n = 6, P > 0.05 when compared to vehicle).
Figure S11 HF relationships for hERG blockers devoid of effects in beagle dogs and reported in the main document: ciprofloxacin (A: 100 mg/kg, p.o.), ebastine (B: 30 mg/kg, p.o.), nicardipine (C: 30 mg/kg, p.o.) and phenytoin (D: 100 mg/kg, p.o.). Data are presented as mean values ± SEM (n = 6, NS: P > 0.05 when compared to vehicle).
Figure S12 Zoomed view of one of bundle branch block reported in the Figure 5B from a beagle dog dosed with dofetilide (1 mg/kg, p.o.).
Figure S13. Beagle dogs were dosed with dofetilide (1 mg/kg, p.o., DOF) plus vehicle of atenolol or atenolol (1 mg/kg, i.v., ATE) according to a cross‐over design (n = 6). Bundle branch blocks were seen in 4 out of 6 dogs, premature ventricular beats in 3 out of 6 dogs. In atenolol treated dogs, bundle branch blocks were still present while premature ventricular beats were absent.
Figure S14 Example of ECG trace collected from a cynomolgus monkey dosed with dofetilide (1 mg/kg, p.o.) showing rhythmic increasing heart rate sequences followed by a pause associated with bundle branch block (BBB) and premature ventricular beat (PVB).
Figure S15 Example of ECG trace collected from a cynomolgus monkey dosed with dofetilide (1 mg/kg, p.o.) showing arrhythmic events preceding one Torsades de Pointes (TdP) episode. Signs of slowed conduction are visible (BBB: bundle branch block). These signs of slowed conduction were frequently observed before the onset of TdP episodes in cynomolgus monkeys dosed with dofetilide (1 mg/kg, p.o.). Premature ventricular beat was the last arrhythmic event preceding the initiation of TdP episode. This event was quite systematically observed just before the onset of TdP episodes in cynomolgus monkeys dosed with dofetilide (1 mg/kg, p.o.).
Figure S16 Continued from Figure S7. Signs of slowed conduction are visible (BBB and AVB) when the TdP episode terminates. The presence of BBB was frequently observed at the end of TdP episodes induced by dofetilide (1 mg/kg, p.o.) in cynomolgus monkeys. Presence of AVB was much less frequent. These data show that TdP occur in a context of slowed conduction in the conductive network. BBB: bundle branch block, AVB: 2nd degree atrio‐ventricular block. PVB: premature ventricular beat.
Supporting info item
