Ard Teisman

Blockade of the IKs potassium channel: An overlooked cardiovascular liability in drug safety screening?

The problem of drug-induced hERG channel blockade, which can lead to acquired long QT syndrome and potentially fatal arrhythmias, has exercised drug developers and regulatory authorities for over 10 years, and exacting guidelines have been put into place to test for this liability both preclinically (ICH S7B) and clinically (ICH E14). However, the I(Ks) channel, which along with the transient outward current (I(to)) is the other main potassium channel affecting cardiac repolarisation and thus the length of the QT interval, has received little attention, and potent I(Ks) blocking drugs with serious side effects could potentially enter into human testing without being detected by the existing regulatory core battery and standard screening strategies. Here we review the pharmacology of cardiac I(Ks) channel blockade and describe the discovery of a potent I(Ks) blocker whose activity was not detected by standard hERG or invitro action potential screens, but subsequently evoked unprovoked torsades de pointes (TdP) invivo in our anaesthetised dog model. We have exploited this molecule to develop a ligand binding assay to detect I(Ks) blockade at an earlier stage in drug discovery, and note that several other laboratories developing new drugs have also developed higher throughput screens to detect I(Ks) blockade (e.g., [Trepakova, E. S., Malik, M. G., Imredy, J. P., Penniman, J. R., Dech, S. J., & Salata, J. J. (2007) Application of PatchXpress planar patch clamp technology to the screening of new drug candidates for cardiac KCNQ1/KCNE1 (I(Ks)) activity. Assay Drug Development Technology 5, 617-627]). Because of the presence of I(Ks) channels in other tissues, including blood vessels and in the epithelia of intestine, kidney, lung and the cochlea, I(Ks) blockade has the potential to cause extensive side effects in addition to QT prolongation and arrhythmias. We therefore suggest that compounds selected for development should also be examined for I(Ks) liability before testing in humans. The possibility of undetected I(Ks) blockade is therefore an additional gap to that identified earlier [Lu, H. R., Vlaminckx, E., Hermans, A. N., Rohrbacher, J., Van Ammel, K., Towart, R., et al. (2008) Predicting drug-induced changes in QT interval and arrhythmias: QT-shortening drugs point to gaps in the ICH S7B Guidelines. British Journal of Pharmacology, 154, 1427-1438] in the ICH S7B regulatory guidelines.

The effect of changes in core body temperature on the QT interval in beagle dogs: a previously ignored phenomenon, with a method for correction

Body core temperature (Tc) changes affect the QT interval, but correction for this has not been systematically investigated. It may be important to correct QT intervals for drug‐induced changes in Tc.

Analysis of cross-over designs with serial correlation within periods using semi-parametric mixed models

The use of semi-parametric mixed models has proven useful in a wide variety of settings. Here, we focus on the application of the methodology in the particular case of a cross-over design with relatively long sequences of repeated measurements within each treatment period and for each subject. Other than an overall measure of the difference between each one of the experimental groups and the control group, specific time point comparisons may also be of interest. To that effect, we propose the use of flexible semi-parametric mixed models, enabling the construction of simulation-based simultaneous confidence bands. The bands take into account both between- and within-subject variabilities, while simultaneously correcting for multiple time point comparisons. Owing to the relatively long sequences of measurements per subject, the presence of serially correlated errors is anticipated and investigated. We illustrate how several formulations of semi-parametric mixed models can be fitted and the construction of simulation-based simultaneous confidence bands using SAS PROC MIXED.

Application of Semiparametric Mixed Models and Simultaneous Confidence Bands in a Cardiovascular Safety Experiment with Longitudinal Data

Several pharmacological studies involve experiments aimed at testing for a difference between experimental groups wherein the data are longitudinal in nature, frequently with long sequences per subject. Oftentimes, treatment effect, if present, is not constant over time. In such situations, imposing a parametric mean structure can be too complicated and/or restrictive. A more flexible approach is to model the mean using a semiparametric smooth function, estimated using, for example, penalized smoothing splines. We formulate a series of models exhibiting how the group-specific mean profiles could possibly differ. Once an appropriate model is chosen, interest lies in identifying specific time points where the groups differ. For this purpose, we propose the use of simultaneous confidence bands around the fitted models wherein the bands take into account within and between-subject variability, as well as variability arising from smoothing.

Chronic drug-induced effects on contractile motion properties and cardiac biomarkers in human induced pluripotent stem cell derived cardiomyocytes.

In the pharmaceutical industry risk assessments of chronic cardiac safety liabilities are mostly performed during late stages of preclinical drug development using in vivo animal models. Here, we explored the potential of human induced pluripotent stem cell‐derived cardiomyocytes (hiPS‐CMs) to detect chronic cardiac risks such as drug‐induced cardiomyocyte toxicity.

Cardio-vascular safety beyond hERG: in silico modelling of a guinea pig right atrium assay

As chemists can easily produce large numbers of new potential drug candidates, there is growing demand for high capacity models that can help in driving the chemistry towards efficacious and safe candidates before progressing towards more complex models. Traditionally, the cardiovascular (CV) safety domain plays an important role in this process, as many preclinical CV biomarkers seem to have high prognostic value for the clinical outcome. Throughout the industry, traditional ion channel binding data are generated to drive the early selection process. Although this assay can generate data at high capacity, it has the disadvantage of producing high numbers of false negatives. Therefore, our company applies the isolated guinea pig right atrium (GPRA) assay early-on in discovery. This functional multi-channel/multi-receptor model seems much more predictive in identifying potential CV liabilities. Unfortunately however, its capacity is limited, and there is no room for full automation. We assessed the correlation between ion channel binding and the GPRA’s Rate of Contraction (RC), Contractile Force (CF), and effective refractory frequency (ERF) measures assay using over six thousand different data points. Furthermore, the existing experimental knowledge base was used to develop a set of in silico classification models attempting to mimic the GPRA inhibitory activity. The Naïve Bayesian classifier was used to built several models, using the ion channel binding data or in silico computed properties and structural fingerprints as descriptors. The models were validated on an independent and diverse test set of 200 reference compounds. Performances were assessed on the bases of their overall accuracy, sensitivity and specificity in detecting both active and inactive molecules. Our data show that all in silico models are highly predictive of actual GPRA data, at a level equivalent or superior to the ion channel binding assays. Furthermore, the models were interpreted in terms of the descriptors used to highlight the undesirable areas in the explored chemical space, specifically regions of low polarity, high lipophilicity and high molecular weight. In conclusion, we developed a predictive in silico model of a complex physiological assay based on a large and high quality set of experimental data. This model allows high throughput in silico safety screening based on chemical structure within a given chemical space.

Impact of calcium-sensitive dyes on the beating properties and pharmacological responses of human iPS-derived cardiomyocytes using the calcium transient assay

INTRODUCTION Calcium-based screening of hiPS-CMs is a useful preclinical safety evaluation platform with the ability to generate robust signals that facilitates high-throughput screening and data analysis. However, due to the potential inherent toxicities, it is important to understand potential effects of different calcium-sensitive dyes on the hiPS-CMs model. METHODS We compared three calcium-sensitive fluorescence dyes (Cal520, ACTOne and Calcium 5) for their impact on the variability, the beating properties and the pharmacological responses of hiPS-CMs using the Hamamatsu FDSS/μCell imaging platform. Direct effects of three dyes on the electrophysiological properties of hiPS-CMs were evaluated with the multi-electrode array (MEA) Axion Maestro platform. RESULTS We propose a specific experimental protocol for each dye which gives the most optimal assay conditions to minimize variability and possible adverse effects. We showed that Cal520 had the smallest effect on hiPS-CMs together with the longest-lasting stable amplitude signal (up to 4 h). Although all dyes had a (minor) acute effect on hiPS-CMs, in the form of reduced beat rate and prolonged field potential duration, the selection of the dye did not influence the pharmacological response of four cardioactive drugs (dofetilide, moxifloxacin, nimodipine and isoprenaline). DISCUSSION In conclusion, we have documented that different calcium sensitive dyes have only minor direct (acute) effects on hiPS-CMs with Cal520 showing the least effects and the longest lasting signal amplitude. Importantly, drug-induced pharmacological responses in hiPS-CMs were comparable between the three dyes. These findings should help further improve the robustness of the hiPS-CMs-based calcium transient assay as a predictive, preclinical cardiac safety evaluation tool.

Identification and Optimization of Pyrrolo[3,2- d ]pyrimidine Toll-like Receptor 7 (TLR7) Selective Agonists for the Treatment of Hepatitis B

Pyrrolo[3,2-d]pyrimidines were identified as a new series of potent and selective TLR7 agonists. Compounds were optimized for their activity and selectivity over TLR8. This presents an advantage over recently described scaffolds that have residual TLR8 activity, which may be detrimental to the tolerability of the candidate drug. Oral administration of the lead compound 54 effectively induced a transient interferon stimulated gene (ISG) response in mice and cynomolgus monkeys. We aimed for a high first pass effect, limiting cytokine induction systemically, and demonstrated the potential for the immunotherapy of viral hepatitis.

PK/PD Modelling of the QT Interval: a Step Towards Defining the Translational Relationship Between In Vitro, Awake Beagle Dogs, and Humans

Inhibiting the human ether-a-go-go-related gene (hERG)-encoded potassium ion channel is positively correlated with QT-interval prolongation in vivo, which is considered a risk factor for the occurrence of Torsades de Pointes (TdP). A pharmacokinetic/pharmacodynamic model was developed for four compounds that reached the clinic, to relate drug-induced QT-interval change in awake dogs and humans and to derive a translational scaling factor a1. Overall, dogs were more sensitive than humans to QT-interval change, an a1 of 1.5 was found, and a 10% current inhibition in vitro produced a higher percent QT-interval change in dogs as compared to humans. The QT-interval changes in dogs were predictive for humans. In vitro and in vivo information could reliably describe the effects in humans. Robust translational knowledge is likely to reduce the need for expensive thorough QT studies; therefore, expanding this work to more compounds is recommended.

Characterization of an anesthetized dog model of transient cardiac ischemia and rapid pacing: a pilot study for preclinical assessment of the potential for proarrhythmic risk of novel drug candidates.

INTRODUCTION Preclinical proarrhythmic risk assessment of drug candidates is focused predominantly on arrhythmias arising from repolarization abnormalities. However, drug-induced cardiac conduction slowing is associated with significant risk of life-threatening ventricular arrhythmias, particularly in a setting of cardiac ischemia. Therefore, we optimized and characterized an anesthetized dog model to evaluate the potential proarrhythmic risk of drug candidates in ischemic heart disease patients. METHODS Anesthetized dogs were instrumented with atrial and ventricular epicardial electrodes for pacing and measurement of conduction times, and a balloon occluder and flow probe placed around the left anterior descending coronary artery (LAD) distal to the first branch. Conduction times, ECG intervals and incidence of arrhythmias were assessed serially at the end of each dose infusion (flecainide: 0.32, 0.63, 1.25, 2.5 and 5mg/kg, i.v.; dofetilide:1.25, 2.5, 5, 10 and 20 μg/kg, i.v.; or vehicle; n=6/group) both during normal flow (with and without rapid pacing) and during 5-min LAD occlusion (with and without rapid pacing). Compound X, a development candidate with mild conduction slowing activity, was also evaluated. RESULTS Flecainide produced pronounced, dose-dependent slowing of conduction that was exacerbated during ischemia and rapid pacing. In addition, ventricular tachycardia (VT) and fibrillation (VF) occurred in 4 of 6 dogs (3 VF @ 0.63 mg/kg; 1VT @ 2.5mg/kg). In contrast, no animals in the vehicle group developed arrhythmias. Dofetilide, a potent IKr blocker that does not slow conduction, prolonged QT interval but did not cause further conduction slowing during ischemia with or without pacing and there were no arrhythmias. Compound X, like flecainide, produced marked conduction slowing and arrhythmias (VT, VF) during ischemia and pacing. DISCUSSION This model may be useful to more accurately define shifts in safety margins in a setting of ischemia and increased cardiac demand for drugs that slow conduction.