Gerald T. Miwa

The Conduct of In Vitro and In Vivo Drug‐Drug Interaction Studies: A PhRMA Perspective

Current regulatory guidances do not address specific study designs for in vitro and in vivo drug‐drug interaction studies. There is a common desire by regulatory authorities and by industry sponsors to harmonize approaches to allow for a better assessment of the significance of findings across different studies and drugs. There is also a growing consensus for the standardization of cytochrome P450 (CYP) probe substrates, inhibitors, and inducers and for the development of classification systems to improve the communication of risk to health care providers and patients. While existing guidances cover mainly CYP‐mediated drug interactions, the importance of other mechanisms, such as transporters, has been recognized more recently and should also be addressed. This paper was prepared by the Pharmaceutical Research and Manufacturers of America (PhRMA) Drug Metabolism and Clinical Pharmacology Technical Working Groups and represents the current industry position. The intent is to define a minimal best practice for in vitro and in vivo pharmacokinetic drug‐drug interaction studies targeted to development (not discovery support) and to define a data package that can be expected by regulatory agencies in compound registration dossiers.

Relative contributions of the five major human cytochromes P450, 1A2, 2C9, 2C19, 2D6, and 3A4, to the hepatic metabolism of the proteasome inhibitor bortezomib

VELCADE (bortezomib, PS-341), reversibly inhibits the 20S proteasome and exhibits cytotoxic and antitumor activities. Pretreatment of cancer cells with bortezomib increases the chemosensitivity of these cells, suggesting that bortezomib may be used in combination chemotherapy. The relative contributions of the five major human cytochromes P450 (P450s), 1A2, 2C9, 2C19, 2D6, and 3A4 (the focus of the present study), to the metabolism of bortezomib are an important aspect of potential drug interactions. Relative activity factor (RAF), chemical inhibition, and immunoinhibition using monoclonal antibodies were three approaches employed to determine the relative contributions of the major human P450s to the net hepatic metabolism of bortezomib. RAFs for the P450 isoform-selective substrates were determined; the ratio of the rate of metabolism of bortezomib with cDNA-expressed P450s versus rate of metabolism with human liver microsomes was normalized with respect to the RAF for each P450 isoform to determine the percentage contributions of the P450s to the net hepatic metabolism of bortezomib. CYP3A4 followed by CYP2C19 were determined to be the major contributors to the metabolism of bortezomib. Chemical inhibition and immunoinhibition confirmed that CYP3A4 and CYP2C19 were the major P450s responsible for the hepatic metabolism of bortezomib. The studies were conducted with 2 μM bortezomib, and the disappearance of bortezomib, rather than appearance of a specific metabolite, was quantified to determine the contributions of the P450s to the overall hepatic metabolism of bortezomib in humans.

Comparison of Intrinsic Clearance in Liver Microsomes and Hepatocytes from Rats and Humans: Evaluation of Free Fraction and Uptake in Hepatocytes

Apparent intrinsic clearance (CLint,app) of 7-ethoxycoumarin, phenacetin, propranolol, and midazolam was measured using rat and human liver microsomes and freshly isolated and cryopreserved hepatocytes to determine factors responsible for differences in rates of metabolism in these systems. The cryopreserved and freshly isolated hepatocytes generally provided similar results, although there was greater variability using the latter system. The CLint,app values in hepatocytes are observed to be lower than that in microsomes, and this difference becomes greater for compounds with high CLint,app. This could partly be attributed to the differences in the free fraction (fu). The fu in hepatocyte incubations (fu,hep-inc) was influenced not only by the free fraction of compounds in the incubation buffer (fu,buffer) but also by the rate constants of uptake (kup) and metabolism (kmet). This report provides a new derivation for fu,hep-inc, which can be expressed as fu,hep-inc = [kup/(kmet + kup)]/[1 + (Chep/Cbuffer) × (Vhep/Vbuffer)], where the Chep, Cbuffer, Vhep, and Vbuffer represent the concentrations of a compound in hepatocytes and buffer and volumes of hepatocytes and buffer, respectively. For midazolam, the fu,hep-inc was calculated, and the maximum metabolism rate in hepatocytes was shown to be limited by the uptake rate.

Strategy of utilizing in vitro and in vivo ADME tools for lead optimization and drug candidate selection.

The high-throughput screening in drug discovery for absorption, distribution, metabolism and excretion (ADME) properties has become the norm in the industry. Only a few years ago it was ADME properties that were attributed to more failure of drugs than efficacy or safety in the clinic trials. With the realization of new techniques and refinement of existing techniques better projections for the pharmacokinetic properties of compounds in humans are being made, shifting the drug failure attributes more to the safety and efficacy properties of drug candidates. There are a tremendous number of tools available to discovery scientists to screen compounds for optimization of ADME properties and selection of better candidates. However, the use of these tools has generally been to characterize these compounds rather than to select among them. This report discusses applications of the available ADME tools to better understand the clinical implication of these properties, and to optimize these properties. It also provides tracts for timing of studies with respect to the stage of the compound during discovery, by means of a discovery assay by stage (DABS) paradigm. The DABS provide the team with a rationale for the types of studies to be done during hit-to-lead, early and late lead optimization stages of discovery, as well as outlining the deliverables (objectives) at those stages. DABS has proven to be optimal for efficient utilization of resources and helped the discovery team to track the progress of compounds and projects.

EVALUATION OF MICRODOSING TO ASSESS PHARMACOKINETIC LINEARITY IN RATS USING LIQUID CHROMATOGRAPHY-TANDEM MASS SPECTROMETRY

The microdosing strategy allows for early assessment of human pharmacokinetics of new chemical entities using more limited safety assessment requirements than those requisite for a conventional phase I program. The current choice for evaluating microdosing is accelerator mass spectrometry (AMS) due to its ultrasensitivity for detecting radiotracers. However, the AMS technique is still expensive to be used routinely and requires the preparation of radiolabeled compounds. This report describes a feasibility study with conventional liquid chromatography-tandem mass spectrometry (LC-MS/MS) technology for oral microdosing assessment in rats, a commonly used preclinical species. The nonlabeled drugs fluconazole and tolbutamide were studied because of their similar pharmacokinetics characteristics in rats and humans. We demonstrate that pharmacokinetics can be readily characterized by LC-MS/MS at a microdose of 1 μg/kg for these molecules in rats, and, hence, LC-MS/MS should be adequate in human microdosing studies. The studies also exhibit linearity in exposure between the microdose and ≥1000-fold higher doses in rats for these drugs, which are known to show a linear dose-exposure relationship in the clinic, further substantiating the potential utility of LC-MS/MS in defining pharmacokinetics from the microdose of drugs. These data should increase confidence in the use of LC-MS/MS in microdose pharmacokinetics studies of new chemical entities in humans. Application of this approach is also described for an investigational compound, MLNX, in which the pharmacokinetics in rats were determined to be nonlinear, suggesting that MLNX pharmacokinetics at microdoses in humans also might not reflect those at the therapeutic doses. These preclinical studies demonstrate the potential applicability of using traditional LC-MS/MS for microdose pharmacokinetic assessment in humans.

Interactions of Cyclosporin A with Breast Cancer Resistance Protein

The objective of this study was to investigate whether cyclosporin A (CsA) is a modulator for breast cancer resistance protein (BCRP). The interactions between CsA and BCRP were evaluated by using both membrane- and cell-based assays. CsA inhibited BCRP or BCRP R482T mutant-associated ATPase with an IC50 of 26.1 and 7.3 μM (31,388 and 8779 ng/ml), respectively, indicating that CsA is a modulator for BCRP and its R482T mutant. The apparent permeability (Papp) of CsA was not affected by the BCRP-specific inhibitor Ko143 in both apical-to-basolateral (A-to-B) and basolateral-to-apical (B-to-A) directions in hBCRP- or mBcrp-transfected MDCKII cells, whereas CsA at 50 μM significantly increased the A-to-B transport and decreased B-to-A transport of BCRP substrates, [3H]estrone-3-sulfate ([3H]E3S) and [3H]methotrexate ([3H]MTX), in hBCRP- and mBcrp1-trasfected MDCKII cells. Similar to cellular transport studies, CsA did not exhibit ATP-dependent uptake in BCRP-expressed membrane vesicles but inhibited the ATP-mediated E3S and MTX uptake in the same vesicles. The inhibitory constant (Ki) of CsA toward BCRP was 6.7 μM (8507 ng/ml) and 7.8 μM (9380 ng/ml) when using E3S or MTX, respectively, as a BCRP substrate. The inhibitory potency of CsA on BCRP wild type or its R482T mutant was lower than that on P-glycoprotein. The present studies demonstrate that CsA is an inhibitor but not a substrate for BCRP, and has low potential to cause drug-drug interactions with BCRP substrate drugs due to its weak inhibitory effect on BCRP and BCRP R482T mutant at its normal therapeutic blood concentrations (200–400 ng/ml) (Blood 91:362–363, 1998).

A novel model for the prediction of drug-drug interactions in humans based on in vitro cytochrome p450 phenotypic data.

Ketoconazole has generally been used as a standard inhibitor for studying clinical pharmacokinetic drug-drug interactions (DDIs) of drugs that are primarily metabolized by CYP3A4/5. However, ketoconazole at therapeutic, high concentrations also inhibits cytochromes P450 (P450) other than CYP3A4/5, which has made the predictions of DDIs less accurate. Determining the in vivo inhibitor concentration at the enzymatic site is critical for predicting the clinical DDI, but it remains a technical challenge. Various approaches have been used in the literature to estimate the human hepatic free concentrations of this inhibitor, and application of those to predict DDIs has shown some success. In the present study, a novel approach using cryopreserved human hepatocytes suspended in human plasma was applied to mimic the in vivo concentration of ketoconazole at the enzymatic site. The involvement of various P450s in the metabolism of compounds of interest was quantitatively determined (reactive phenotyping). Likewise, the effect of ketoconazole on various P450s was quantitated. Using this information, P450-mediated change in the area under the curve has been predicted without the need of estimating the inhibitor concentrations at the enzyme active site or the Ki. This approach successfully estimated the magnitude of the clinical DDI of an investigational compound, MLX, which is cleared by multiple P450-mediated metabolism. It also successfully predicted the pharmacokinetic DDIs for several marketed drugs (theophylline, tolbutamide, omeprazole, desipramine, midazolam, alprazolam, cyclosporine, and loratadine) with a correlation coefficient (r2) of 0.992. Thus, this approach provides a simple method to more precisely predict the DDIs for P450 substrates when coadministered with ketoconazole or any other competitive P450 inhibitors in humans.

Investigation of drug-drug interaction potential of bortezomib in vivo in female Sprague-Dawley rats and in vitro in human liver microsomes.

Bortezomib (Velcade, PS-341), a dipeptidyl boronic acid, is a first-in-class proteasome inhibitor approved in 2003 for the treatment of multiple myeloma. In a preclinical toxicology study, bortezomib-treated rats resulted in liver enlargement (35%). Ex vivo analyses of the liver samples showed an 18% decrease in cytochrome P450 (P450) content, a 60% increase in palmitoyl coenzyme A β-oxidation activity, and a 41 and 23% decrease in CYP3A protein expression and activity, respectively. Furthermore, liver samples of bortezomib-treated rats had little change in CYP2B and CYP4A protein levels and activities. To address the likelihood of clinical drug-drug interactions, the P450 inhibition potential of bortezomib and its major deboronated metabolites M1 and M2 and their dealkylated metabolites M3 and M4 was evaluated in human liver microsomes for the major P450 isoforms 1A2, 2C9, 2C19, 2D6, and 3A4/5. Bortezomib, M1, and M2 were found to be mild inhibitors of CYP2C19 (IC50 ∼ 18.0, 10.0, and 13.2 μM, respectively), and M1 was also a mild inhibitor of CYP2C9 (IC50 ∼ 11.5 μM). However, bortezomib, M1, M2, M3, and M4 did not inhibit other P450s (IC50 values > 30 μM). There also was no time-dependent inhibition of CYP3A4/5 by bortezomib or its major metabolites. Based on these results, no major P450-mediated clinical drug-drug interactions are anticipated for bortezomib or its major metabolites. To our knowledge, this is the first report on P450-mediated drug-drug interaction potential of proteasome inhibitors or boronic acid containing therapeutics.

Case History — Use of ADME Studies for Optimization of Drug Candidates

Efficacy and safety are the two key elements in the drug discovery and development processes. The primary goal for pharmaceutical research companies is to identify and manufacture therapeutic agents that are safe and efficacious for patients. In principle, benefits versus risks have to be considered for target patient populations. The risks are relatively high in life threatening diseases, e.g. cancer, compared to general areas, e.g. inflammation. Pharmacology, medicinal chemistry, pharmaceutical sciences, safety assessment, drug metabolism and pharmacokinetics (DMPK), clinical research, etc. are the essential multidisciplinary R&D functions assembled within the pharmaceutical R&D engine to accomplish the aforementioned mission. Pharmacokinetics (PK) is generally viewed as the universal biomarker which reflects the processes of how a drug molecule is absorbed (e.g. ka), distributed (e.g. Vd) in the body, and cleared from the body through metabolism and excretion. The area under the drug plasma concentration versus time curve (AUC) provides an indirect assessment of the exposure level and duration of action of the therapeutic agent at the site of action (e.g. synovial fluid, tumor, brain). An ideal drug candidate should possess a plasma drug level which is above the therapeutic concentration (i.e. efficacious) and below the toxic concentration (i.e. safe). In general, the therapeutic index is calculated by dividing the plasma exposure at the NO (toxic) Effect Level (NOEL), or NO Adverse Effect Level (NOAEL), by the minimum plasma concentration required for efficacy (e.g. EC50) and the safety margin is calculated by dividing NOEL (or NOAEL) plasma concentration by the maximum plasma drug concentration (Cmax) achieved at an efficacious dose.