Intermittent oral coadministration of a gamma secretase inhibitor with dexamethasone mitigates intestinal goblet cell hyperplasia in rats.

Dexamethasone was given in 2 oral dosing regimens with repeat dose oral administration of the gamma secretase inhibitor (GSI), PF-03084014, in Sprague-Dawley (SD) rats in order to evaluate the effects of coadministration of dexamethasone on GSI-induced goblet cell hyperplasia (GCH) in the intestinal tract. Safety end points were evaluated in 1 week and 1 month studies. The dosing regimens tested in the 1-month studies included a 1-week pretreatment with 1.0 mg/kg dexamethasone followed by a 3-week repeat dose treatment with 100 mg/kg GSI or concurrent intermittent treatment with 1.0 mg/kg dexamethasone on weeks 1 and 3 and repeat dose treatment with 100 mg/kg GSI for 4 weeks. Pretreatment with dexamethasone for 1 week transiently mitigated the severity of intestinal GCH for up to 1 week. Intermittent coadministration of dexamethasone on weeks 1 and 3 with GSI repeat dosing for 4 weeks mitigated intestinal GCH for up to 4 weeks post treatment. Treatment-related morbidity and mortality occurred on day 7 with 150 mg/kg GSI and 5 mg/kg dexamethasone coadministration, and on days 13, 14, and 23 with 100 mg/kg GSI and 1 mg/kg dexamethasone coadministration.

N-(Pyridin-2-yl) arylsulfonamide inhibitors of 11ß-hydroxysteroid dehydrogenase type 1: strategies to eliminate reactive metabolites.

N-(Pyridin-2-yl) arylsulfonamides 1 and 2 (PF-915275) were identified as potent inhibitors of 11ß-hydroxysteroid dehydrogenase type 1. A screen for bioactivation revealed that these compounds formed glutathione conjugates. This communication presents the results of a risk benefit analysis carried out to progress 2 (PF-915275) to a clinical study and the strategies used to eliminate reactive metabolites in this series of inhibitors. Based on the proposed mechanism of bioactivation and structure-activity relationships, design efforts led to N-(pyridin-2-yl) arylsulfonamides such as 18 and 20 that maintained potent 11ß-hydroxysteroid dehydrogenase type 1 activity, showed exquisite pharmacokinetic profiles, and were negative in the reactive metabolite assay.

Simulation of human intravenous and oral pharmacokinetics of 21 diverse compounds using physiologically based pharmacokinetic modelling.

BACKGROUND: The importance of predicting human pharmacokinetics during compound selection has been recognized in the pharmaceutical industry. To this end there are many different approaches that are applied. METHODS: In this study we compared the accuracy of physiologically based pharmacokinetic (PBPK) methodologies implemented in GastroPlus™ with the one-compartment approach routinely used at Pfizer for human pharmacokinetic plasma concentration-time profile prediction. Twenty-one Pfizer compounds were selected based on the availability of relevant preclinical and clinical data. Intravenous and oral human simulations were performed for each compound. To understand any mispredictions, simulations were also performed using the observed clearance (CL) value as input into the model. RESULTS: The simulation results using PBPK were shown to be superior to those obtained via traditional one-compartment analyses. In many cases, this difference was statistically significant. Specifically, the results showed that the PBPK approach was able to accurately predict passive distribution and absorption processes. Some issues and limitations remain with respect to the prediction of CL and active transport processes and these need to be improved to further increase the utility of PBPK modelling. A particular advantage of the PBPK approach is its ability to accurately predict the multiphasic shape of the pharmacokinetic profiles for many of the compounds tested. CONCLUSION: The results from this evaluation demonstrate the utility of PBPK methodology for the prediction of human pharmacokinetics. This methodology can be applied at different stages to enhance the understanding of the compounds in a particular chemical series, guide experiments, aid candidate selection and inform clinical trial design.

Drug design tools--in silico, in vitro and in vivo ADME/PK prediction and interpretation: is PK in monkey an essential part of a good human PK prediction?

Quantitative human pharmacokinetic (PK) predictions play a critical role in assessing the quality of potential drug candidates and in selecting a human starting dose for clinical evaluation, where the parameters of clearance, volume of distribution, and bioavailability as well as the plasma concentration time profiles are the desired endpoints. While there are numerous reports validating the use of different methods for predictions, it still remains an open question as to what animal species to include when extrapolating the animal PK to human. Given toxicological assessment is generally conducted in two species, a rodent and a non-rodent species, prior to evaluation in human subjects, rat, dog and/or monkey are typically the species ADME scientists employ to evaluate PK. However, the question is, can we achieve an adequate prediction without the use of larger species such as monkey? In the end, the data and tools utilized for human PK predictions will depend on a number of factors such as information from observed human PK for structurally related compounds; the primary mechanism of clearance, and the availability of in silico and in vitro tools applicable to the respective clearance mechanism. Despite these dependencies, for most situations, adequate predictions can be achieved without the use of monkey PK for predicting human.

N-(Pyridin-2-yl) arylsulfonamide inhibitors of 11beta-hydroxysteroid dehydrogenase type 1: Discovery of PF-915275.

N-(Pyridin-2-yl) arylsulfonamides are identified as inhibitors of 11beta-hydroxysteroid dehydrogenase type 1 (11betaHSD1), an enzyme that catalyzes the reduction of the glucocorticoid cortisone to cortisol. Dysregulation of glucocorticoids has been implicated in the pathogenesis of diabetes and the metabolic syndrome. In this Letter, we present the development of an initial lead to an efficient ligand with improved physiochemical properties using a deletion strategy. This strategy allowed for further optimization of potency leading to the discovery of the clinical candidate PF-915275.

Prediction of human pharmacokinetics from preclinical information: comparative accuracy of quantitative prediction approaches.

Quantitative prediction of human pharmacokinetics is critical in assessing the viability of drug candidates and in determining first-in-human dosing. Numerous prediction methodologies, incorporating both in vitro and preclinical in vivo data, have been developed in recent years, each with advantages and disadvantages. However, the lack of a comprehensive data set, both preclinical and clinical, has limited efforts to evaluate the optimal strategy (or strategies) that results in quantitative predictions of human pharmacokinetics. To address this issue, the authors conducted a retrospective analysis using 50 proprietary compounds for which in vitro, preclinical pharmacokinetic data and oral single-dose human pharmacokinetic data were available. Five predictive strategies, involving either allometry or use of unbound intrinsic clearance from microsomes or hepatocytes, were then compared for their ability to predict human oral clearance, half-life through predictions of systemic clearance, volume of distribution, and bioavailability. Use of a single-species scaling approach with rat, dog, or monkey was as accurate as or more accurate than using multiple-species allometry. For those compounds cleared almost exclusively by P450-mediated pathways, scaling from human liver microsomes was as predictive as single-species scaling of clearance based on data from rat, dog, or monkey. These data suggest that use of predictive methods involving either single-species in vivo data or in vitro human liver microsomes can quantitatively predict human in vivo pharmacokinetics and suggest the possibility of streamlining the predictive methodology through use of a single species or use only of human in vitro microsomal preparations.

The impact of P-glycoprotein on the disposition of drugs targeted for indications of the central nervous system: evaluation using the MDR1A/1B knockout mouse model.

Thirty-two structurally diverse drugs used for the treatment of various conditions of the central nervous system (CNS), along with two active metabolites, and eight non-CNS drugs were measured in brain, plasma, and cerebrospinal fluid in the P-glycoprotein (P-gp) knockout mouse model after subcutaneous administration, and the data were compared with corresponding data obtained in wild-type mice. Total brain-to-plasma (B/P) ratios for the CNS agents ranged from 0.060 to 24. Of the 34 CNS-active agents, only 7 demonstrated B/P area under the plasma concentration curve ratios between P-gp knockout and wild-type mice that did not differ significantly from unity. Most of the remaining drugs demonstrated 1.1- to 2.6-fold greater B/P ratios in P-gp knockout mice versus wild-type mice. Three, risperidone, its active metabolite 9-hydroxyrisperidone, and metoclopramide, showed marked differences in B/P ratios between knockout and wild-type mice (6.6- to 17-fold). Differences in B/P ratios and cerebrospinal fluid/plasma ratios between wild-type and knockout animals were correlated. Through the use of this model, it appears that most CNS-active agents demonstrate at least some P-gp-mediated transport that can affect brain concentrations. However, the impact for the majority of agents is probably minor. The example of risperidone illustrates that even good P-gp substrates can still be clinically useful CNS-active agents. However, for such agents, unbound plasma concentrations may need to be greater than values projected using receptor affinity data to achieve adequate receptor occupancy for effect.

Factors affecting the clinical development of cytochrome p450 3A substrates.

The objective of this review is to evaluate the risks associated with the discovery and development of cytochrome p450 (CYP) 3A substrates. CYP3A is the most abundant p450 enzyme in human liver and is highly expressed in the intestinal tract. The enzyme contributes substantially to metabolism of approximately 50% of currently marketed drugs that undergo oxidative metabolism. As a result, drug-drug interactions involving inhibitors of CYP3A-mediated metabolism can be of great clinical consequence. It is the position of the authors that, because of the factors responsible for the broad substrate specificity of CYP3A, discovery and development of compounds across a large and broad portfolio that are completely devoid of CYP3A metabolism is not feasible. Thus, it is important that scientifically valid approaches to the discovery and development of compounds metabolised by CYP3A be realised. The clinical relevance of CYP3A metabolism is dependent on a multitude of factors that include the degree of intestinal and hepatic CYP3A-mediated first-pass extraction, the therapeutic index of the compound and the adverse event associated with inhibition of CYP3A metabolism. Thus, a better understanding of the disposition of a CYP3A-metabolised compound relative to the projected or observed therapeutic index (or safety margin) can provide ample evidence to support the continued development of a CYP3A substrate. This document will highlight current practices as well as the benefits and risks associated with those practices.