Predicting drug-induced slowing of conduction and pro-arrhythmia: identifying the 'bad' sodium current blockers

Cardiac Safety Implications of hNav1.5 Blockade and a Framework for Pre-Clinical Evaluation

The human cardiac sodium channel (hNav1.5, encoded by the SCN5A gene) is critical for action potential generation and propagation in the heart. Drug-induced sodium channel inhibition decreases the rate of cardiomyocyte depolarization and consequently conduction velocity and can have serious implications for cardiac safety. Genetic mutations in hNav1.5 have also been linked to a number of cardiac diseases. Therefore, off-target hNav1.5 inhibition may be considered a risk marker for a drug candidate. Given the potential safety implications for patients and the costs of late stage drug development, detection, and mitigation of hNav1.5 liabilities early in drug discovery and development becomes important. In this review, we describe a pre-clinical strategy to identify hNav1.5 liabilities that incorporates in vitro, in vivo, and in silico techniques and the application of this information in the integrated risk assessment at different stages of drug discovery and development.

Fatalities temporally associated with the ingestion of ibogaine

Ibogaine is a naturally occurring psychoactive plant alkaloid that is used globally in medical and nonmedical settings for opioid detoxification and other substance use indications. All available autopsy, toxicological, and investigative reports were systematically reviewed for the consecutive series of all known fatalities outside of West Central Africa temporally related to the use of ibogaine from 1990 through 2008. Nineteen individuals (15 men, four women between 24 and 54 years old) are known to have died within 1.5-76 h of taking ibogaine. The clinical and postmortem evidence did not suggest a characteristic syndrome of neurotoxicity. Advanced preexisting medical comorbidities, which were mainly cardiovascular, and/or one or more commonly abused substances explained or contributed to the death in 12 of the 14 cases for which adequate postmortem data were available. Other apparent risk factors include seizures associated with withdrawal from alcohol and benzodiazepines and the uninformed use of ethnopharmacological forms of ibogaine.

A computational model to predict the effects of class I anti-arrhythmic drugs on ventricular rhythms

A long-sought, and thus far elusive, goal has been to develop drugs to manage diseases of excitability. One such disease that affects millions each year is cardiac arrhythmia, which occurs when electrical impulses in the heart become disordered, sometimes causing sudden death. Pharmacological management of cardiac arrhythmia has failed because it is not possible to predict how drugs that target cardiac ion channels, and have intrinsically complex dynamic interactions with ion channels, will alter the emergent electrical behavior generated in the heart. Here, we applied a computational model, which was informed and validated by experimental data, that defined key measurable parameters necessary to simulate the interaction kinetics of the anti-arrhythmic drugs flecainide and lidocaine with cardiac sodium channels. We then used the model to predict the effects of these drugs on normal human ventricular cellular and tissue electrical activity in the setting of a common arrhythmia trigger, spontaneous ventricular ectopy. The model forecasts the clinically relevant concentrations at which flecainide and lidocaine exacerbate, rather than ameliorate, arrhythmia. Experiments in rabbit hearts and simulations in human ventricles based on magnetic resonance images validated the model predictions. This computational framework initiates the first steps toward development of a virtual drug-screening system that models drug-channel interactions and predicts the effects of drugs on emergent electrical activity in the heart.

The 'overly-sensitive' heart: sodium channel block and QRS interval prolongation

Cardiac safety remains of paramount importance in the development of successful clinical drug candidates. Great progress has been made recently in understanding liabilities associated with delayed ventricular repolarization (manifest as QT prolongation) and in predicting (thus avoiding) drugs that delay repolarization based on application of strategic preclinical assays. Following the advances made in clinical electrophysiological monitoring and conduct of thorough QT studies, focus is now shifting towards monitoring of additional drug-induced effects, particularly on ventricular conduction (measured as changes in the QRS interval on the ECG) as part of evolving clinical thorough ECG studies. In this issue of the British Journal of Pharmacology, a study by Harmer et al. proposes provisional safety margins for QRS prolongation in man based on retrospective clinical data and a single in vitro approach to assess potency of block of cardiac sodium current (hNav1.5), the ionic current responsible for ventricular conduction (observed as QRS prolongation). The present commentary places their study in context with evolving preclinical cardiac electrophysiological safety assessments, along with discussions focused on ensuring the proper 'translation' of preclinical findings with potential clinical concerns. Given the extant limitations and uncertainties of presently available data, as well as our limited understanding of the pro-arrhythmic potential associated with these changes, due caution should be applied when considering the proposed in vitro-based margins for drug-induced QRS prolongation measured clinically. Additional validation with multiple preclinical models and more rigorous clinical safety studies will be necessary to substantiate these recommended margins.

LINKED ARTICLE

This article is a commentary on Harmer et al., pp. 260-273 of this issue. To view this paper visit http://dx.doi.org/10.1111/j.1476-5381.2011.01415.x.