Power spectral analysis of heart rate variability in cynomolgus monkeys in safety pharmacology studies: comparative study with beagle dogs.

INTRODUCTION: Power spectral analysis of heart rate variability is a tool known to provide information of interest on the autonomic control of heart rate in human. However, its use and its conditions of application and interpretation for safety purposes are not well defined for cardiovascular safety pharmacology studies. Likewise, data of power spectral analysis of heart rate variability in cynomolgus monkeys, a species often appropriate for use as second non rodent species in preclinical safety programmes, are not available. This study was designed to evaluate the relevance of this biomarker in this non human primate species, and to compare results with those from beagle dogs under the conditions of safety evaluation studies. METHODS: Power spectral analysis of heart rate variability was performed on data collected in both species by telemetry following a standard design for cardiovascular safety pharmacology studies. Various pharmacological agents were tested in order to compare the profile of responses in both species after modifying the autonomic nervous balance. RESULTS: Heart rate variability in cynomolgus monkeys is mainly driven by the parasympathetic nervous system as in beagle dogs although vagal tone is less than in dogs. Power spectral analysis of heart rate variability allows detection of interaction with the autonomic nervous system in both species in all investigated situations, i.e. sympatholytic/sympathomimetic and parasympatholytic/parasympathomimetic drug induced effects. However, due to species difference in the autonomic control of heart rate, cynomolgus monkeys are likely to be more sensitive than beagle dogs for assessment of sympatholytic properties. DISCUSSION: This study confirms that power spectral analysis of heart rate variability from data derived from ECG recordings in telemetry studies is applicable in cardiovascular safety pharmacology studies and may provide relevant information about possible interaction with the autonomic nervous system when new drug entities are evaluated in either species. However, interspecies differences in autonomic control must be taken into account when interpreting possible drug effects.

A step towards characterisation of electrophysiological profile of torsadogenic drugs.

INTRODUCTION: In a previous study, two electrophysiological patterns for torsadogenic drugs were characterised in the model of isolated canine Purkinje fibres from their respective effects on action potential. This study was designed to elucidate the possible mechanisms underlying these two electrophysiological profiles. METHODS: Effects of representative torsadogenic agents and non torsadogenic drugs on I(Kr), I(Ks), I(K1), I(Na) and I(CaL) were studied in transfected HEK 293 cells using the path-clamp method as well as in conscious beagle dogs and cynomolgus monkeys by telemetry. RESULTS: Patch-clamp studies confirmed that torsadogenic molecules could be discriminated into at least two subgroups. The first subgroup can be defined as apparently pure I(Kr) blockers. The second subgroup can be defined as I(Kr) blockers with ancillary properties on sodium and/or calcium channels which counterbalance the I(Kr) prolongation component. This discrimination is transposable to the telemetered cynomolgus monkey model in terms of QT prolongation but not to the telemetered beagle dog model. This latter inter-species difference could be related to the sympathetic/parasympathetic balance and could involve reserve repolarisation dependent mechanisms. DISCUSSION: The confirmation that torsadogenic drugs might have at least two different electrophysiological profiles should be taken into consideration in preclinical safety pharmacology studies because it increases the value of the cynomolgus monkey model in two particular situations: firstly when an NCE causes sympathetic activation and secondly, when an NCE exhibits a pure I(Kr) blocker pattern independently of its potency to block HERG channels.

Interferences of the autonomic nervous system with drug induced QT prolongation: a point to consider in non-clinical safety studies.

INTRODUCTION: QT interval assessment by telemetry has become one of the most useful models in testing strategies adopted for detection of drug induced QT prolongation in non-clinical safety pharmacology studies. This study reports experimental data showing that the autonomic nervous system might influence drug induced QT prolongation. METHODS: Animals were instrumented with telemetric transmitters and epicardial ECG leads. Effects on QT interval of reference drugs such as thioridazine and terfenadine were analysed with different approaches, the Holzgrefe's probabilistic method, the QT shift method and an individual analysis of beat-to-beat QT/RR pair distribution visualised as points-cloud. RESULTS: Two cases of unexpected absence of QT interval prolongation are reported with thioridazine and terfenadine in conscious beagle dogs under conditions of concomitant tachycardia. The pro-arrhythmic properties of these two molecules were unmasked by co-treatment with sympatholytic agents, atenolol and clonidine respectively suggesting that sympathetic activation and/or parasympathetic withdrawal might impair a drug induced QT prolongation. DISCUSSION: The apparent absence of changes in the QT interval due to novel drug candidates should be interpreted cautiously under conditions of concomitant tachycardia or elevated heart rate levels in non-clinical safety studies.

Calculation of QT shift in non clinical safety pharmacology studies.

INTRODUCTION: Drug-induced QT interval prolongation is a major concern in new drug candidate development. This study presents a method of assessment of drug-induced QT interval prolongation without need for QT correction in conscious Beagle dogs and Cynomolgus monkeys monitored by telemetry. Accuracy and reliability are analysed by comparison with a reference QT correction method (Holzgrefe) from experiments performed with reference substances terfenadine, thioridazine and sotalol. METHODS: The QT shift method principle is assessment of any drug-induced QT interval shift directly from the individual QT/RR relationship. The individual QT/RR relationship is built from a treatment-free 24-hour recording period. QT and RR intervals are determined from a beat-to-beat analysis. A probabilistic method is used to define the individual QT/RR relationships. Checks were performed to compare results obtained with the QT shift method and the QT correction methods. The robustness of the QT shift method was tested under various conditions of drug-induced heart rate change (i.e. normal, bradycardia and tachycardia). RESULTS: The extent of agreement with the used reference QT correction method, Holzgrefe formula, was excellent (3-4 ms) in both animal species under the various drug induced effects on heart rate. The statistical sensitivity threshold for detection of QT prolongation according to a standard safety pharmacology study design was 7-8 ms. DISCUSSION: When combined with the probabilistic determination of individual QT/RR relationships, this simple method provides a direct assessment of a drug-induced effect on QT interval, without any curve fitting or application of correction formula. Despite noticeably different shapes in QT/RR relationships, the QT shift method is applicable to both Beagle dogs and Cynomolgus monkeys. It is likely that the QT shift method will be particularly helpful in problematic cases, enabling detection of drug-induced prolongation of less than 10 ms.

Prediction of the risk of Torsade de Pointes using the model of isolated canine Purkinje fibres.

Torsade de Pointes (TdP) is a well-described major risk associated with various kinds of drugs. However, prediction of this risk is still uncertain both in preclinical and clinical trials. We tested 45 reference compounds on the model of isolated canine Purkinje fibres. Of them, 22 are clearly associated and/or labelled with a risk of TdP, and 13 others are drugs with published clinical evidence of QT prolongation, with only one or two exceptional cases of TdP. The 10 remaining drugs are without reports of TdP and QT prolongation. The relevance of different indicators such as APD(90) increase, reverse use dependency, action potential triangulation or effect on V(max) was evaluated by comparison with available clinical data. Finally, a complex algorithm called TDPscreen and based on two subalgorithms corresponding to particular electrophysiological patterns was defined. This latter algorithm enabled a clear separation of drugs into three groups: (A) drugs with numerous or several reports (>2 cases) of TdP, (B) drugs causing QT prolongation and/or TdP only, the latter at a very low frequency (< or =2 cases), (C) drugs without reports of TdP or QT prolongation. The use of such an algorithm combined with a database accrued from reference compounds with available clinical data is suggested as a basis for testing new candidate drugs in the early stages of development for proarrhythmic risk prediction.