Spontaneous arrhythmia characterization in healthy rats can support interpretation when studying novel therapies. Male (n = 55) and female (n = 40) Sprague-Dawley rats with telemetry transmitters for a derivation II ECG. Arrhythmias were assessed from continuous ECG monitoring over a period of 24-48 h, and data analyzed using an automated detection algorithm with 100% manual over-read. While a total of 1825 spontaneous ventricular premature beats (VPB) were identified, only 7 rats (or 7.4%) did not present with any over the recording period. Spontaneous episode(s) of ventricular tachycardia (VT) were noted in males (27%) and females (3%). The incidence of VPB was significantly higher (p < 0.01) during the night time (7 pm-7 am) compared to daytime, while males presented with significantly (p < 0.001) more VPB than females. Most VPB were observed as single ectopic beats, followed by salvos (2 or 3 consecutive VPBs), and VT (i.e. 4 consecutive VPBs). Most VPBs were single premature ventricular contractions (PVCs) (57%), while the remaining were escape complexes (43%). Spontaneous premature junctional complexes (PJC) were also observed and were significantly more frequent during the night, and in males. Lastly, 596 episodes of spontaneous 2nd-degree atrioventricular (AV) block were identified and were significantly more frequent during the day time in males. Most 2nd-degree AV block episodes were Mobitz type I (57%), with a significantly (p < 0.05) higher incidence in males. This work emphasizes the importance of obtaining sufficient baseline data when undertaking arrhythmia analysis in safety study and provides a better understanding of both sex- and time-dependent effects of spontaneous arrhythmias in rats.

The central nervous system (CNS) adverse events account for ˜14 and 21% of attrition for safety reasons in preclinical drug discovery and early clinical development, respectively. This chapter overviews the in vitro and in vivo models currently used in general CNS preclinical risk assessment and also emerging methods. It reviews the specialized models available for assessment of two specific CNS adverse drug reactions (ADR), seizure, and drug abuse liability. The preclinical abuse liability testing assessment comprising the investigation of the drug-induced physical dependence potential and the rewarding and reinforcing properties of CNS-active drug candidates relative to known psychoactive drugs of abuse is considered predictive in vivo platform. In conclusion, the chapter states that the nonclinical risk assessment of drug induced neurotoxicity still driven by in vivo investigations due to the complexity of the CNS, although promising in vitro alternatives are being developed as early screening models.

The voltage-gated potassium channel encoded by hERG carries a delayed rectifying potassium current (IKr) underlying repolarization of the cardiac action potential. Pharmacological blockade of the hERG channel results in slowed repolarization and therefore prolongation of action potential duration and an increase in the QT interval as measured on an electrocardiogram. Those are possible to cause sudden death, leading to the withdrawals of many drugs, which is the reason for hERG screening. Computational in silico prediction models provide a rapid, economic way to screen compounds during early drug discovery. In this review, hERG prediction models are classified as 2D and 3D quantitative structure-activity relationship models, pharmacophore models, classification models, and structure based models (using homology models of hERG).

This chapter describes various approaches for the preclinical assessment of drug-induced central nervous system (CNS) adverse effects. Traditionally, methods to evaluate CNS effects have consisted of observing and scoring behavioral responses of animals after drug is administered. Among several behavioral testing paradigms, the Irwin and the functional observational battery (FOB) are the most commonly used assays for the assessment of CNS effects. The Irwin and FOB are considered good first-tier assays to satisfy the ICH S7A guidance for the preclinical evaluation of new chemical entities (NCE) intended for humans. However, experts have expressed concern about the subjectivity and lack of quantitation that is derived from behavioral testing. More importantly, it is difficult to gain insight into potential mechanisms of toxicity by assessing behavioral outcomes. As a complement to behavioral testing, we propose using electrophysiology-based assays, both in vivo and in vitro, such as electroencephalograms and brain slice field-potential recordings. To better illustrate these approaches, we discuss the implementation of electrophysiology-based techniques in drug-induced assessment of seizure risk, sleep disruption, and cognitive impairment.

Agonism of GPR119 is viewed as a potential therapeutic approach for the treatment of type II diabetes and other elements of metabolic syndrome. During progression of a previously disclosed candidate 1 through mice toxicity studies, we observed tonic-clonic convulsions in several mice at high doses. An in vitro hippocampal brain slice assay was used to assess the seizure liability of subsequent compounds, leading to the identification of an aryl sulfone as a replacement for the 3-cyano pyridyl group. Subsequent optimization to improve the overall profile, specifically with regard to hERG activity, led to alkyl sulfone 16. This compound did not cause tonic-clonic convulsions in mice, had a good pharmacokinetic profile, and displayed in vivo efficacy in murine models. Importantly, it was shown to be effective in wild-type (WT) but not GPR119 knockout (KO) animals, consistent with the pharmacology observed being due to agonism of GPR119.

Owing to its association with Torsades de Pointes, drug‐induced QT interval prolongation has been and remains a significant hurdle to the development of safe, effective medicines. Genetic and pharmacological evidence highlighting the pivotal role the human ether‐a‐go‐go‐related gene (hERG) channel was a critical step in understanding how to start addressing this issue. It led to the development of hERG assays with the rapid throughput needed for the short timescales required in early drug discovery. The resulting volume of hERG data has fostered in silico models to help chemists design compounds with reduced hERG potency. In early drug discovery, a pragmatic approach based on exceeding a given potency value has been required to decide when a compound is likely to carry a low QT risk, to support its progression to late‐stage discovery. At this point, the in vivo efficacy and metabolism characteristics of the potential drug are generally defined, as well its safety profile, which includes usually a dog study to assess QT interval prolongation risk. The hERG and in vivo QT data, combined with the likely indication and the estimated free drug level for efficacy, are put together to assess the risk that the potential drug will prolong QT in man. Further data may be required to refine the risk assessment before making the major investment decisions for full development. The non‐clinical data are essential to inform decisions about compound progression and to optimize the design of clinical QT studies. This article is commented on by Guth and Rast, pp. 22–24 of this issue and is part of a themed section on QT safety. To view this issue visit http://www3.interscience.wiley.com/journal/121548564/issueyear?year=2010

Assessment of seizure risk traditionally occurs late in the drug discovery process using low-throughput, resource intensive in vivo assays. Such approaches do not allow sufficient time to mitigate risk by influencing chemical design. Early identification using cheaper, higher throughput assays with lower animal and compound requirements would be preferable. Here we review the current techniques available to assess this issue and describe how they may be combined in a rational step-wise cascade allowing more effective assessment of seizure risk.

INTRODUCTION:Drug-induced seizures are a serious, life-threatening adverse drug reaction (ADR) that can result in the failure of drugs to be licensed for clinical use or withdrawn from the market. Seizure liability of potential drugs is traditionally assessed using animal models run during the later phases of the drug discovery process. Given the low throughput, high animal usage and high compound requirement associated with these assays, it would be advantageous to identify higher throughput, in vitro models that could be used to give an earlier assessment of seizure liability. The hippocampal brain slice is one possibility but conventionally allows recording from only one slice at a time. The aim of this study was to validate a semi-automated system (Slicemaster, Scientifica UK Ltd) which allows concurrent electrophysiological recording from multiple brain slices.METHODS:Conventional electrophysiological recording techniques were used to record electrically evoked synaptic activity from rat hippocampal brain slices. Population spikes (PS) were evoked at 30 s intervals by electrical stimulation of the Schaffer collateral pathway and were recorded using extracellular electrodes positioned in the CA1 cell body layer. Responses were quantified as PS areas (the area above and below the 0 mV line). The effects of eight validation compounds known to cause seizures in vivo and/or in the clinic were assessed.RESULTS:Seven out of eight compounds evoked a concentration-dependent increase in population spike (PS) area that was statistically significant at higher concentrations (P<0.05; ANOVA). At the highest test concentration the percentage effects (mean+/-s.e.m.), relative to vehicle, were: picrotoxin 212.9+/-28.8, pentylenetrazole (PTZ) 181.4+/-24.7, 4-AP 328.9+/-48.6, aminophylline 124.5+/-5.9, chlorpromazine 122.1+/-9.8, SNC-80 132.1+/-12.6 and penicillin 174.7+/-14.1. Physostigmine had no significant effect on PS area although a concentration-dependent change in the morphology of the response was evident.DISCUSSION:All validation compounds evoked a statistically significant effect on synaptic activity in the rat hippocampal slice. Although similar effects have been described previously, this is the first time that the effects of a pharmacologically diverse set of compounds have been assessed using a standardised brain slice assay. Given the low compound usage and relatively high throughput associated with this assay, the hippocampal brain slice assay may facilitate earlier testing of convulsant liability than is currently possible using in vivo models.