Andrea Greiter-Wilke

Preclinical QT safety assessment: Cross-species comparisons and human translation from an industry consortium

INTRODUCTION In vivo models have been required to demonstrate relative cardiac safety, but model sensitivity has not been systematically investigated. Cross-species and human translation of repolarization delay, assessed as QT/QTc prolongation, has not been compared employing common methodologies across multiple species and sites. Therefore, the accurate translation of repolarization results within and between preclinical species, and to man, remains problematic. METHODS Six pharmaceutical companies entered into an informal consortium designed to collect high-resolution telemetered data in multiple species (dog; n=34, cynomolgus; n=37, minipig; n=12, marmoset; n=14, guinea pig; n=5, and man; n=57). All animals received vehicle and varying doses of moxifloxacin (3-100 mg/kg, p.o.) with telemetered ECGs (≥500 Hz) obtained for 20-24h post-dose. Individual probabilistic QT-RR relationships were derived for each subject. The rate-correction efficacies of the individual (QTca) and generic correction formulae (Bazett, Fridericia, and Van de Water) were objectively assessed as the mean squared slopes of the QTc-RR relationships. Normalized moxifloxacin QTca responses (Veh Δ%/μM) were derived for 1h centered on the moxifloxacin Tmax. RESULTS All QT-RR ranges demonstrated probabilistic uncertainty; slopes varied distinctly by species where dog and human exhibited the lowest QT rate-dependence, which was much steeper in the cynomolgus and guinea pig. Incorporating probabilistic uncertainty, the normalized QTca-moxifloxacin responses were similarly conserved across all species, including man. DISCUSSION The current results provide the first unambiguous evidence that all preclinical in vivo repolarization assays, when accurately modeled and evaluated, yield results that are consistent with the conservation of moxifloxacin-induced QT prolongation across all common preclinical species. Furthermore, these outcomes are directly transferable across all species including man. The consortium results indicate that the implementation of standardized QTc data presentation, QTc reference cycle lengths, and rate-correction coefficients can markedly improve the concordance of preclinical and clinical outcomes in most preclinical species.

Translational PK/PD modeling for cardiovascular safety assessment of drug candidates: Methods and examples in drug development

INTRODUCTION Cardiovascular toxicity is a significant cause of candidate failure in drug development. Pharmacokinetic/pharmacodynamic (PK/PD) modeling may reduce attrition by improving the understanding of the relationship between drug exposure and changes in cardiovascular endpoints. Diverse examples are discussed that elucidate how modeling can facilitate the interpretation of cardiovascular safety data in animals and enable quantitative translation of preclinical findings to man. METHODS Twelve compounds under development in diverse therapeutic areas were tested in cardiovascular safety studies in the telemetered beagle dog and cynomolgus monkey. Drug-induced changes observed in different cardiovascular endpoints (QRS complex and QTc interval of the ECG, heart rate, blood pressure, and myocardial contractility) were described by means of PK/PD modeling. A range of direct and indirect effect models were employed to characterize the plasma concentration-cardiovascular effect relationship for each compound. RESULTS For every drug candidate the proposed PK/PD models appropriately described the cardiovascular effects observed in dog and monkey. Two of the compounds subsequently reached clinical development and cardiovascular data were generated in first-in-human clinical trials. For one drug candidate, a threshold model was used to describe QTc prolongation in the monkey and man. Blood pressure changes induced by the second compound were linked to plasma exposure in dog and human via an indirect response model. In both cases it was found that translational modeling accurately predicted the human response observed during clinical development. DISCUSSION In this article, a range of PK/PD models are discussed that successfully described cardiovascular safety findings in the preclinical setting. Where clinical data were available, it was found that translational modeling enabled the accurate prediction of outcomes in man and facilitated the description of the therapeutic index. PK/PD modeling is thus demonstrated as a powerful tool to aid in the quantitative cardiovascular safety assessment of drug candidates and the optimization of early clinical study protocols.

Characterization of the Human QT Interval: Novel Distribution-Based Assessment of the Repolarization Effects of Moxifloxacin

The authors have previously demonstrated rate‐independent QT variability in the dog and cynomolgus monkey, where the QT associated with any RR was a normally distributed value that was accurately evaluated as the distribution mean. The present study investigated the rate‐independent characteristics of the human QT. Digital electrocardiographs (1000 Hz) were collected for 24 hours in 51 patients (thorough QT study) and analyzed by computer. Distribution‐based analysis was applied to the placebo and moxifloxacin (400 mg) arms to characterize the nature of the QT interval and to assess the efficacy of distribution‐based analysis for QTc determination. Novel statistics using continuous means and bootstrapped 95% confidence intervals were developed to facilitate QT analysis. Machine‐read QT values were compared with core laboratory semiautomated values for verification. RR intervals demonstrated repetitive protocol‐dependent variations (50–250 milliseconds); QT intervals were normally distributed, spanning 60 to 100 milliseconds for each RR interval. Distribution‐based analysis detected a moxifloxacin response identical to semiautomated analysis, but with reduced variability and improved statistical power, where n = 12 satisfied the ICH E14 criteria for a positive control. Distribution‐based analysis has the potential to provide a universal method for clinical QT heart rate correction, enabling accurate detection of QT changes when limited numbers of volunteers are exposed to drug.

Human ex-vivo action potential model for pro-arrhythmia risk assessment

While current S7B/E14 guidelines have succeeded in protecting patients from QT-prolonging drugs, the absence of a predictive paradigm identifying pro-arrhythmic risks has limited the development of valuable drug programs. We investigated if a human ex-vivo action potential (AP)-based model could provide a more predictive approach for assessing pro-arrhythmic risk in man. Human ventricular trabeculae from ethically consented organ donors were used to evaluate the effects of dofetilide, d,l-sotalol, quinidine, paracetamol and verapamil on AP duration (APD) and recognized pro-arrhythmia predictors (short-term variability of APD at 90% repolarization (STV(APD90)), triangulation (ADP90-APD30) and incidence of early afterdepolarizations at 1 and 2Hz to quantitatively identify the pro-arrhythmic risk. Each drug was blinded and tested separately with 3 concentrations in triplicate trabeculae from 5 hearts, with one vehicle time control per heart. Electrophysiological stability of the model was not affected by sequential applications of vehicle (0.1% dimethyl sulfoxide). Paracetamol and verapamil did not significantly alter anyone of the AP parameters and were classified as devoid of pro-arrhythmic risk. Dofetilide, d,l-sotalol and quinidine exhibited an increase in the manifestation of pro-arrhythmia markers. The model provided quantitative and actionable activity flags and the relatively low total variability in tissue response allowed for the identification of pro-arrhythmic signals. Power analysis indicated that a total of 6 trabeculae derived from 2 hearts are sufficient to identify drug-induced pro-arrhythmia. Thus, the human ex-vivo AP-based model provides an integrative translational assay assisting in shaping clinical development plans that could be used in conjunction with the new CiPA-proposed approach.

Renal studies in safety pharmacology and toxicology: A survey conducted in the top 15 pharmaceutical companies

INTRODUCTION With the recent development of more sensitive biomarkers to assess kidney injury preclinically, a survey was designed i) to investigate what strategies are used to investigate renal toxicity in both ICH S7A compliant Safety Pharmacology (SP) studies after a single dose of a compound and within repeat-dose toxicity studies by large pharmaceutical companies today; ii) to understand whether renal SP studies have impact or utility in drug development and/or if it may be more appropriate to assess renal effects after multiple doses of compounds; iii) to ascertain how much mechanistic work is performed by the top 15 largest pharmaceutical companies (as determined by R&D revenue size); iv) to gain an insight into the impact of the validation of DIKI biomarkers and their introduction in the safety evaluation paradigm; and v) to understand the impact of renal/urinary safety study data on progression of projects. METHODS Two short anonymous surveys were submitted to SP leaders of the top 15 pharmaceutical companies, as defined by 2012 R&D portfolio size. Fourteen multiple choice questions were designed to explore the strategies used to investigate renal effects in both ICH S7A compliant SP studies and within toxicology studies. RESULTS A 67% and 60% response rate was obtained in the first and second surveys, respectively. Nine out of ten respondent companies conduct renal excretory measurements (eg. urine analysis) in toxicology studies whereas only five out of ten conduct specific renal SP studies; and all of those 5 also conduct the renal excretory measurements in toxicology studies. These companies measure and/or calculate a variety of parameters as part of these studies, and also on a case by case basis include regulatory qualified and non-qualified DIKI biomarkers. Finally, only one company has used renal/urinary functional data alone to stop a project, whereas the majority of respondents combine renal data with other target organ assessments to form an integrated decision-making set. CONCLUSION These short surveys highlighted areas of similarity: a) urinary measurements are most commonly taken on repeat-dose toxicity studies, and b) renal SP studies are less often utilised. The two major differences are a) lack of consistent use of DIKI biomarkers in urinary safety studies and b) the way large pharmaceutical companies assess renal function. Finally, suggestions were made to improve the safety assessment methods for determining the safety of compounds with potential renal liability.

Cardiovascular safety assessments in the cynomolgus monkey: Unmasking potential background arrhythmias in general toxicity studies

INTRODUCTION We describe experience with an unexpectedly high background incidence of atrioventricular block (AVB) observed in Mauritian cynomolgus monkeys (MCM) during preclinical safety assessment for bitopertin, a glycine-transporter-1 inhibitor. METHODS Preclinical ECGs were reviewed to assess potential effects on cardiac conductivity, specifically AVB. RESULTS Bitopertin administration in Chinese/Vietnamese monkeys (CVM; n=46) or MCM (n=64, from all relevant studies) revealed dose-dependent hypoactivity with a lack of expected increases in heart rate in response to chair-restraint during ECG recordings. Instances of 2° AVB were detected post-dose in two repeat-dose studies in MCM. AVB was generally restricted to animals showing a lower than expected increase in heart rate during restraint compared to placebo conditions (111-161 to 220-250bpm). A subsequent study in MCM prescreened for AVB found pre-existing 2° AVB in 15.4% of animals. After exclusion of these animals, no incidences of AVB were identified over 36weeks of bitopertin treatment. No evidence of AVB was observed in CVM in a 14-day study with continuous ECG recordings or in any clinical studies to date. DISCUSSION Bitopertin-treatment was not associated with a direct effect on AV conduction in AVB naive MCM. Pre-test detection of AVB in MCM was likely due to the unmasking of pre-existing AVB through a slowed heart rate. The background incidence of AVB in the current MCM cohort was much higher than has been previously reported. These data suggest that ECG prescreening of unrestrained, nonstressed animals is recommended for the accurate assessment of possible treatment-related increases in AVB, especially in MCM.

An overview of the safety pharmacology society strategic plan

Safety Pharmacology studies are conducted to characterize the confidence by which biologically active new chemical entities (NCE) may be anticipated as safe. Non-clinical safety pharmacology studies aim to detect and characterize potentially undesirable pharmacodynamic activities using an array of in silico, in vitro and in vivo animal models. While a broad spectrum of methodological innovation and advancement of the science occurs within the Safety Pharmacology Society, the society also focuses on partnerships with health authorities and technology providers and facilitates interaction with organizations of common interest such as pharmacology, physiology, neuroscience, cardiology and toxicology. Education remains a primary emphasis for the society through content derived from regional and annual meetings, webinars and publication of its works it seeks to inform the general scientific and regulatory community. In considering the future of safety pharmacology the society has developed a strategy to successfully navigate forward and not be mired in stagnation of the discipline. Strategy can be defined in numerous ways but generally involves establishing and setting goals, determining what actions are needed to achieve those goals, and mobilizing resources within the society to accomplish the actions. The discipline remains in rapid evolution and its coverage is certain to expand to provide better guidance for more systems in the next few years. This overview from the Safety Pharmacology Society will outline the strategic plan from 2016 to 2018 and beyond and provide insight into the future of the discipline which builds upon a previous strategic plan established in 2009.