Possible Extraction of Drugs from Lung Tissue During Broncho-alveolar Lavage Suggest Uncertainty in the Procedure's Utility for Quantitative Assessment of Airway Drug Exposure.

Following inhaled dosing, broncho-alveolar lavage (BAL) is often used for sampling epithelial lining fluid (ELF) to determine drug concentration in the lungs. This study aimed to explore the technique's suitability. Urea is typically used to estimate the dilution factor between the BAL fluid and physiological ELF, since it readily permeates through all fluids in the body. As representatives of permeable small molecule drugs with high, medium and low tissue distribution properties, propranolol, diazepam, indomethacin and AZD4721 were infused intravenously to steady state to ensure equal unbound drug concentrations throughout the body. The results showed that propranolol had higher unbound concentrations in the ELF compared to the plasma whilst this was not the case for the other compounds. Experiments with different BAL volumes and repeated lavaging indicated that the amount of drug extracted is very sensitive to experimental procedure. In addition, the results show that the unbound concentrations in ELF compared to plasma differs dependent on molecule class and tissue distribution properties. Overall data suggests that lavaging can remove drug from lung tissue in addition to ELF and highlights significant uncertainty in the robustness of the procedure for determining ELF drug concentrations.

Efficient assessment of the utility of immortalized Fa2N-4 cells for cytochrome P450 (CYP) induction studies using multiplex quantitative reverse transcriptase-polymerase chain reaction (qRT-PCR) and substrate cassette methodologies.

Induction of cytochrome P450 (CYP) 1A2, CYP2B6, and CYP3A4 by 22 prototypical inducers was evaluated in the Fa2N-4 immortalized human hepatic cell line. To facilitate this a duplex one-step quantitative reverse transcriptase-polymerase chain reaction (qRT-PCR) assay for CYP1A2 and CYP3A4 and a substrate cassette allowing simultaneous monitoring of CYP1A2, CYP2B6, CYP2C9, and CYP3A4 activity were developed. CYP1A2 messenger RNA (mRNA) and activity were induced by the prototypical aryl hydrocarbon receptor (AhR) ligand beta-naphthoflavone (E(max) = 217- and 11-fold, respectively, and EC(50) = 8 microM). CYP3A4 mRNA and activity were induced by the prototypical pregnane X receptor (PXR) ligands, rifampicin (E(max) = 36- and 6-fold, respectively, and EC(50) = 4 microM) and phenobarbital (E(max) = 12- and 4-fold, respectively, and EC(50) = 205 microM). No induction of CYP2B6 was detected with several prototypical constitutive androstane receptor (CAR) ligands. A large mRNA-activity E(max) ratio was observed for some time-dependent inhibitors of CYP3A4, whereas EC(50) determinations appeared to be independent of the endpoint. In conclusion, Fa2N-4 cells are a good surrogate for primary human hepatocytes for assessing AhR and PXR-mediated CYP1A2 and CYP3A4 induction, respectively, but not for CAR-mediated CYP2B6 induction. The sensitive and selective methodologies presented in this paper afford maximal data generation and enhanced throughput capability and are readily transferable to primary human hepatocytes or alternate cellular systems.

The impact of in vitro binding on in vitro-in vivo extrapolations, projections of metabolic clearance and clinical drug-drug interactions.

This review provides a vista of the current opportunities and remaining challenges in the area of in vitro-in vivo extrapolation, with particular emphasis on drug binding terms in predictive models, which has been the source of much controversy. Although the importance of fu(inc) (fraction unbound in in vitro incubations) has been acknowledged for decades, it is not always applied in practice. This is somewhat disappointing, since although it may be onerous to measure this term for large numbers of compounds, algorithms to estimate the term from logD(7.4) or logP have been detailed in the literature. These are sufficiently robust to negate routine measurement in early drug discovery. Several groups have recently established convincing relationships between unbound in vivo and in vitro metabolic intrinsic clearance (CL(int)). In the authors' laboratory, correlations of this type have been constructed for rat, dog and Man. The use and interpretation of these models within a drug discovery setting is discussed. The quantitative prediction of drug-drug interactions from in vitro cytochrome P450 (CYP) inhibition data remains a challenge. Although extensive literature databases are at last emerging, apparent ad hoc use of terms for in vivo inhibitor concentrations and only occasional consideration of fu(inc) may only have confused matters. The effect of accounting for drug binding on the accuracy of predictions is reviewed. Other themes including the impact of fu(inc) on relative activity factors (RAFs) and how in vitro data quality and inter-laboratory differences can confound quantitative human pharmacokinetic predictions are also developed.

Evaluation of various static in vitro-in vivo extrapolation models for risk assessment of the CYP3A inhibition potential of an investigational drug.

Nine static models (seven basic and two mechanistic) and their respective cutoff values used for predicting cytochrome P450 3A (CYP3A) inhibition, as recommended by the US Food and Drug Administration and the European Medicines Agency, were evaluated using data from 119 clinical studies with orally administered midazolam as a substrate. Positive predictive error (PPE) and negative predictive error (NPE) rates were used to assess model performance, based on a cutoff of 1.25-fold change in midazolam area under the curve (AUC) by inhibitor. For reversible inhibition, basic models using total or unbound systemic inhibitor concentration [I] had high NPE rates (46-47%), whereas those using intestinal luminal ([I]gut) values had no NPE but a higher PPE. All basic models for time-dependent inhibition had no NPE and reasonable PPE rates (15-18%). Mechanistic static models that incorporate all interaction mechanisms and organ specific [I] values (enterocyte and hepatic inlet) provided a higher predictive precision, a slightly increased NPE, and a reasonable PPE. Various cutoffs for predicting the likelihood of CYP3A inhibition were evaluated for mechanistic models, and a cutoff of 1.25-fold change in midazolam AUC appears appropriate.

Pharmacokinetic consequences of time-dependent inhibition using the isolated perfused rat liver model.

Mathematical models exist to describe the pharmacokinetic changes caused by time-dependent inhibition (TDI) and these have been reported to predict accurately for several marketed drugs. However, their robustness using in-depth, carefully controlled pre-clinical studies has yet to be established. In the current study, the isolated perfused rat liver was employed to investigate the effects of TDI under carefully controlled conditions. A five-compartmental model was used to describe the observed data and bring context to in vitro TDI data (kinact and KI). Co-administration of midazolam with troleandomycin, mifepristone, erythromycin and the discovery compound, AZ-X, increased midazolam area under the curve (AUC) 3.2-, 2.5-, 1.6- and 1.0-fold, respectively, compared with AUC increases of 1.8-, 1.4-, 1.2- and 1.1-fold predicted by the model. These experimental findings, whilst modest in overall effect, support the use of this model in the rat and it is proposed that projections can be made for the likely clinical impact of novel time-dependent inhibitors in man based on predicted human pharmacokinetics and TDI potency determined in vitro.

Comparative analysis of substrate and inhibitor interactions with CYP3A4 and CYP3A5.

To evaluate the role that cytochrome (CYP) 3A5 plays in hepatic drug metabolism, the substrate selectivity and inhibitory potential of over 60 compounds towards CYP3A4 and CYP3A5 were assessed using Escherichia coli recombinant cell lines. CYP3A4-mediated metabolism predominated for many of the compounds studied. However, a number of drugs gave similar CL(int) estimates using CYP3A5 compared with CYP3A4 including midazolam (CL(int) = 3.4 versus 3.3 microl min(-1) pmol(-1)). Significant CYP3A5-mediated metabolism was also observed for several drugs including mifepristone (CL(int) = 10.3 versus 2.4 microl min(-1) pmol(-1)), and ritonavir (CL(int) = 0.76 versus 0.47 microl min(-1) pmol(-1)). The majority of compounds studied showed a greater inhibitory potential (IC(50)) towards CYP3A4 compared with CYP3A5 (eightfold lower on average). A greater degree of time-dependent inhibition was also observed with CYP3A4 compared with CYP3A5. The range of compounds investigated in the present study extends significantly previous work and suggests that CYP3A5 may have a significant role in drug metabolism particularly in populations expressing high levels of CYP3A5 and/or on co-medications known to inhibit CYP3A4.

Rapid high-performance liquid chromatographic method for the separation of hydroxylated testosterone metabolites.

A rapid high-performance liquid chromatography (HPLC) method is described for the quantitation of hydroxytestosterone metabolites. The method combines a Hypersil BDS C18 analytical column (10 cm x 0.46 cm) and a linear mobile phase (1.25 ml/min) gradient of tetrahydrofuran-acetonitrile-water (10:10:80, v/v) changing to tetrahydrofuran-acetonitrile-water (14:14:72, v/v) over 10 min then remaining isocratic for 3 min. The total run time for the chromatographic separation of eight metabolites of testosterone is 15 min. Detection by UV is linear between 300 ng/ml and 10 microg/ml with a limit of detection on column of 300 ng/ml. A method for the direct HPLC analysis of liver microsomal incubates of [14C]testosterone is also briefly described and when combined with the HPLC method, offers a distinct advantage over previously reported methods for the rapid screening of testosterone hydroxylase activity in rat and human liver microsomes.