Pragmatic approaches to determine the exposures of drug metabolites in preclinical and clinical subjects in the MIST evaluation of the clinical development phase.

The recent stream of regulatory guidelines on the Safety Testing of Drug Metabolites by the FDA in 2008 and the ICH in 2009 and 2012 has cast light on the importance of qualifying metabolite exposure as part of the safety evaluation of new drugs and has provided a much needed framework for the drug safety researcher. Since then, numerous publications interpreting the practicalities of the guidelines have appeared in the literature focusing on strategic approaches and/or adaptation of modern analytical methodologies, e.g., NMR and AMS, for the identification and quantification of metabolites in the species used in preclinical safety assessments and in humans. Surprisingly, there are few literature accounts demonstrating how, in practice, a particular strategy or analytical method has been used to qualify drug metabolites during the safety evaluation of a drug during clinical development. At the same time as the initial FDA and ICH guideline releases, the neuroscience therapy area of AstraZeneca had a number of projects in clinical development, or approaching this phase, which gave the authors a scaffold upon which to build knowledge regarding the safety testing of drug metabolites. In this article, we present how the MIST strategy was developed to meet the guidelines. Pragmatic approaches have evolved from the experience learned in various projects in DMPK at AstraZeneca, Södertälje, Sweden. Our experience dictates that there is no single strategy for qualifying the safety of drug metabolites in humans; however, all activities should be tied to two unifying themes: first that the exposure to drug metabolites should be compared between species at repeated administration using the relative method or a similar one; and second that the internal regulatory documentation of the metabolite qualification should be agnostic to external criteria (guidelines), indication, dose given, and timing.

Biotransformation of two ß-secretase inhibitors including ring opening and contraction of a pyrimidine ring.

Recently, the discovery of the aminoisoindoles as potent and selective inhibitors of ß-secretase was reported, including the close structural analogs compound (S)-1-pyridin-4-yl-4-fluoro-1-(3-(pyrimidin-5-yl)phenyl)-1H-isoindol-3-amine [(S)-25] and (S)-1-(2-(difluoromethyl)pyridin-4-yl)-4-fluoro-1-(3-(pyrimidin-5-yl)phenyl)-1H-isoindol-3-amine hemifumarate (AZD3839), the latter being recently progressed to the clinic. The biotransformation of (S)-25 was investigated in vitro and in vivo in rat, rabbit, and human and compared with AZD3839 to further understand the metabolic fate of these compounds. In vitro, CYP3A4 was the major responsible enzyme and metabolized both compounds to a large extent in the commonly shared pyridine and pyrimidine rings. The main proposed metabolic pathways in various in vitro systems were N-oxidation of the pyridine and/or pyrimidine ring and conversion to 4-pyrimidone and pyrimidine-2,4-dione. Both compounds were extensively metabolized, and more than 90% was excreted in feces after intravenous administration of radiolabeled compound to the rat. Here, the main pathways were N-oxidation of the pyridine and/or pyrimidine ring and a ring contraction of the pyrimidine ring into an imidazole ring. Ring-contracted metabolites accounted for 25% of the total metabolism in the rat for (S)-25, whereas the contribution was much smaller for AZD3839. This metabolic pathway was not foreseen on the basis of the obtained in vitro data. In conclusion, we discovered an unusual metabolic pathway of aryl-pyrimidine-containing compounds by a ring-opening reaction followed by elimination of a carbon atom and a ring closure to form an imidazole ring.

Effect of solvents on the time-dependent inhibition of CYP3A4 and the biotransformation of AZD3839 in human liver microsomes and hepatocytes.

Time-dependent inhibition (TDI) of the cytochrome P450 (P450) family of enzymes is usually studied in human liver microsomes (HLM) by investigating whether the inhibitory potency is increased with increased incubation times. The presented work was initiated after a discrepancy was observed for the TDI of an important P450 enzyme, CYP3A4, during early studies of the investigational drug compound AZD3839 [(S)-1-(2-(difluoromethyl)pyridin-4-yl)-4-fluoro-1-(3-(pyrimidin-5-yl)phenyl)-1H-isoindol-3-amine hemifumarate]; TDI was detected using a regulatory method but not with an early screening method. We show here that the different solvents present in the respective studies, dimethyl sulfoxide (DMSO, screening method) versus methanol or water (regulatory method), were responsible for the different TDI results. We further demonstrate why DMSO, present at the levels of 0.2% and 0.5% in the incubations, masked the TDI effect. In addition to the TDI experiments performed in HLM, TDI studies with AZD3839 were performed in pooled human hepatocytes (Hhep) from different suppliers, using DMSO, methanol, or water. The results from these experiments show no TDI or attenuated TDI effect, depending on the supplier. Metabolite identification of the compound dissolved in DMSO, methanol, or water shows different profiles after incubations with the different systems (HLM or Hhep), which may explain the differences in the TDI outcomes. Thorough investigations of the biotransformation of AZD3839 have been performed to find the reactive pathway causing the TDI of CYP3A4, and are presented here. Our findings show that the in vitro risk profile for drug-drug interactions potential of AZD3839 is very much dependent on the chosen test system and the experimental conditions used.

Direct quantification in bioanalytical LC-MS/MS using internal calibration via analyte/stable isotope ratio.

The possibility to rationalize and simplify bioanalysis, without compromising the analytical quality, by omitting the calibration curves was studied. Using mass spectrometry (MS) and a stable isotope labeled internal standard it was possible to get equally good results by calculating the results directly from the analyte/internal standard area ratio and a predetermined response factor as by the traditional way, using a calibration curve run at the same occasion. To be able to use this simplified quantification method, that we call internal calibration, in its most simple form there are some prerequisites that must be considered: (1) The relative response should not be concentration dependent. (2) The relative response should be constant between batches/days. (3) The level of analyte in the internal standard should not be detectable. (4) There should be no influence from naturally occurring isotopes of the analyte on the internal standard peak area. A bioanalytical LC-MS/MS method for a research compound was validated both with and without calibration curves and no significant differences were found regarding precision and accuracy. It was shown that all four prerequisites above were fulfilled. Validation data were very good for the whole concentration range, 0.010-30 micromol/L. Long-term data for QC samples showed excellent precision and accuracy.

A novel approach to data processing of the QT interval response in the conscious telemetered beagle dog.

INTRODUCTION: Drug-induced QT interval prolongation may lead to ventricular arrhythmias. The aim of the study was to optimize QT interval data processing to quantify drug-induced QT interval prolongation in the telemetry instrumented conscious dog model. METHODS: The test substances cisapride, dofetilide, haloperidol, and terfenadine and corresponding vehicles were given to male and female beagle dogs during two consecutive 90-min intravenous infusions. Cardiovascular parameters were recorded for 24 h and exposure to the drugs was measured. The delayed response in the QT interval after an abrupt change in heart rate was investigated. Eight mathematical models to describe the QT interval-heart rate relationship were compared and different sets of covariates were used to quantify the drug-induced effect on the QT interval. RESULTS: After an abrupt decrease in heart rate, a 75% adaptation of the QT interval was reached after 54+/-9 s. A linear model was preferred to correct the drug-induced effect on the QT interval for heart rate, vehicle effect, serial correlation, plasma concentration and time of day. All test substances significantly prolonged the QT interval. DISCUSSION: To optimize the processing of QT interval data, the delay in QT interval response after an abrupt change in heart rate should be considered. The QT interval-heart rate relationship and vehicle response were individual-specific and corrections were therefore made individually. When estimating the drug-induced effect on the QT interval it is considered advantageous to use plasma concentration as a covariate, as well as adjusting for vehicle effect and serial correlation in measurements. The conscious dog model detected significant increases in the QT interval for all test substances investigated.

Pharmacokinetic-pharmacodynamic modeling of drug-induced effect on the QT interval in conscious telemetered dogs.

INTRODUCTION: To assure drug safety, the investigation of the relationship between plasma concentration and drug-induced prolongation of the QT interval of the ECG is a challenge in drug discovery. For this purpose, dofetilide was utilized to demonstrate the benefits of characterizing the complete time course of concentrations and effect in conscious beagle dogs in the assessment of drug safety. METHOD: On two separate occasions, four male and two female beagle dogs were given vehicle or the test substance, dofetilide (0.25 mumol/kg), over a 3-h intravenous infusion. Cardiovascular parameters, including QT intervals, were recorded for 24-h using radiotelemetry. The QT interval was corrected individually for heart rate, vehicle treatment, and serial correlation (QT(c)). Exposure (plasma concentration) to dofetilide was measured and described by a two-compartment model. The individual concentration-time course of dofetilide was linked to the QT(c) interval via an effect compartment and a pharmacodynamic E(max) model, to account for the observed hysteresis. RESULTS: Dofetilide induced a concentration-dependent increase in the QT(c) interval, with an EC(50) of 9 nM (3-30 nM, 95% C.I.) and an E(max) of 59+/-9 ms. A hysteresis loop was observed by plotting plasma concentrations vs. QT interval in time order, indicating a delay in onset of effect. It was found to have an equilibrium half-life of 11+/-8 min. Based on the parameters potency and E(max), a representation was made of the drug-induced changes to the QT interval. DISCUSSION: An effect compartment model was found to accurately mimic the QT interval prolongation following administration of the test substance, dofetilide. The assessment of the individual concentration-effect relationship and confounding factors such as hysteresis might provide a better prediction of the safety profiles of new drug candidates.