Effect of omeprazole on diazepam disposition in the rat: in vitro and in vivo studies

Prediction of hepatic clearance in human from in vitro data for successful drug development

The in vivo metabolic clearance in human has been successfully predicted by using in vitro data of metabolic stability in cryopreserved preparations of human hepatocytes. In the predictions by human hepatocytes, the systematic underpredictions of in vivo clearance have been commonly observed among different datasets. The regression-based scaling factor for the in vitro-to-in vivo extrapolation has mitigated discrepancy between in vitro prediction and in vivo observation. In addition to the elimination by metabolic degradation, the important roles of transporter-mediated hepatic uptake and canalicular excretion have been increasingly recognized as a rate-determining step in the hepatic clearance. It has been, therefore, proposed that the in vitro assessment should allow the evaluation of clearances for both transporter(s)-mediated uptake/excretion and metabolic degradation. This review first outlines the limited ability of subcellular fractions such as liver microsomes to predict hepatic clearance in vivo. It highlights the advantages of cryopreserved human hepatocytes as one of the versatile in vitro systems for the prediction of in vivo metabolic clearance in human at the early development stage. The following section discusses the mechanisms underlying the systematic underprediction of in vivo intrinsic clearance by hepatocytes. It leads to the proposal for the assessment of hepatic uptake clearance as one of the kinetically important determinants for accurate predictions of hepatic clearance in human. The judicious combination of advanced technologies and understandings for the drug disposition allows us to rationally optimize new chemical entities to the drug candidate with higher probability of success during the clinical development.

Role of cytochrome P450 in drug interactions

Drug-drug interactions have become an important issue in health care. It is now realized that many drug-drug interactions can be explained by alterations in the metabolic enzymes that are present in the liver and other extra-hepatic tissues. Many of the major pharmacokinetic interactions between drugs are due to hepatic cytochrome P450 (P450 or CYP) enzymes being affected by previous administration of other drugs. After coadministration, some drugs act as potent enzyme inducers, whereas others are inhibitors. However, reports of enzyme inhibition are very much more common. Understanding these mechanisms of enzyme inhibition or induction is extremely important in order to give appropriate multiple-drug therapies. In future, it may help to identify individuals at greatest risk of drug interactions and adverse events.

Prediction of Drug Tissue to Plasma Concentration Ratios Using a Measured Volume of Distribution in Combination With Lipophilicity

One of the drug specific parameters needed in physiologically based pharmacokinetic (PBPK) models is the tissue to plasma drug concentration ratios (K(p) values). The aim of this study was to develop an empirical method for predicting K(p) values using a preclinically determined in vivo volume of distribution, in combination with descriptors for drug lipophilicity. Pharmacokinetic data in laboratory animals for a wide range of drug compounds were collected. Obtained correlations between K(p) values for muscle and other tissues, in a training set of 49 compounds, were used to predict K(p) values for a test set of 22 compounds, based on their volume of distribution and lipophilicity. Predicted K(p) values agreed well with experimentally determined values (n = 118), especially for noneliminating tissues (r(2) = 0.81) with 72% and 87% being within a factor +/-2 and +/-3, respectively. In conclusion, we present an empirical method based on a measured volume of distribution and a drug lipophilicity descriptor, which can be used to predict tissue K(p) values with reasonable accuracy.

Progress towards prediction of human pharmacokinetic parameters from in vitro technologies

This review provides an academic view of the current status on using in vitro systems for the prediction of human in vivo drug clearance and inhibition interaction potential. It stresses that although in vitro technology continues to develop in an impressive way and expectations are high within the pharmaceutical industry, the potential of prediction process is yet to be fully realized. The principles of scaling and modeling in vitro parameters have a sound base and have been validated by using animal tissue. However, it is clear that the comparatively simple standard approach developed and validated in animal systems, results in a high incidence of underprediction for parameters describing clearance and inhibition interaction potential when applied to humans. There are several challenges to our ability to interpret the human in vitro data that can now be so readily generated, in particular, accommodating the unusual kinetic properties characteristic of CYP3A4 substrates, namely, positive and negative cooperativity, in the assessment of inhibition potential.

Database analyses for the prediction of in vivo drug-drug interactions from in vitro data

AIMS

In theory, the magnitude of an in vivo drug-drug interaction arising from the inhibition of metabolic clearance can be predicted using the ratio of inhibitor concentration ([I]) to inhibition constant (K(i)). The aim of this study was to construct a database for the prediction of drug-drug interactions from in vitro data and to evaluate the use of the various estimates for the inhibitor concentrations in the term [I]/K(i).

METHODS

One hundred and ninety-three in vivo drug-drug interaction studies involving inhibition of CYP3A4, CYP2D6 or CYP2C9 were collated from the literature together with in vitro K(i) values and pharmacokinetic parameters for inhibitors, to allow calculation of average/maximum systemic plasma concentration during the dosing interval and maximum hepatic input plasma concentration (both total and unbound concentration). The observed increase in AUC (decreased clearance) was plotted against the estimated [I]/K(i) ratio for qualitative zoning of the predictions.

RESULTS

The incidence of false negative predictions (AUC ratio > 2, [I]/K(i) < 1) was largest using the average unbound plasma concentration and smallest using the hepatic input total plasma concentration of inhibitor for each of the CYP enzymes. Excluding mechanism-based inhibition, the use of total hepatic input concentration resulted in essentially no false negative predictions, though several false positive predictions (AUC ratio < 2, [I]/K(i) > 1) were found. The incidence of true positive predictions (AUC ratio > 2, [I]/K(i) > 1) was also highest using the total hepatic input concentration.

CONCLUSIONS

The use of the total hepatic input concentration of inhibitor together with in vitro K(i) values was the most successful method for the categorization of putative CYP inhibitors and for identifying negative drug-drug interactions. However this approach should be considered as an initial discriminating screen, as it is empirical and requires subsequent mechanistic studies to provide a comprehensive evaluation of a positive result.

Stress-related mucosal disease: risk factors and prophylactic therapy

BACKGROUND

The term stress-related mucosal disease (SRMD) represents a continuum of conditions ranging from stress-related injury (superficial mucosal damage) to stress ulcers (focal deep mucosal damage). Caused by mucosal ischemia, SRMD is most commonly seen in critically ill patients in the intensive care unit (ICU). Prophylaxis of stress ulcers may reduce major bleeding but has not yet been shown to improve survival.

OBJECTIVES

This article reviews currently available agents for the prophylaxis of SRMD and discusses their uses and potential adverse effects.

METHODS

Relevant articles in the English-language literature were identified through a MEDLINE search (1968-2003) using the key words stress-related mucosal disease, stress-related injury, ulcer, prophylaxis, intensive care unit, and upper gastrointestinal bleeding.

RESULTS

The most widely used drugs for stress-related injury are the intravenous histamine(2)-receptor antagonists. These drugs raise gastric pH but are associated with the development of tolerance and possible drug interactions and neurologic manifestations. Sucralfate, which can be administered by the nasogastric route, can protect the gastric mucosa without raising pH, but may decrease the absorption of concomitantly administered oral medications. The prostaglandin misoprostol has not been shown to be of benefit in the prophylaxis of SRMD. Antacids lower the risk of gastrointestinal bleeding, but large volumes of antacids are required and treatment is labor intensive. Proton pump inhibitors (PPIs) are the most potent acid-suppressive pharmacologic agents available. Esomeprazole, lansoprazole, omeprazole, pantoprazole, and rabeprazole substantially raise gastric pH for up to 24 hours after a single dose. The availability of an intravenous formulation of pantoprazole may help improve the treatment of SRMD in ICU patients, particularly those receiving mechanical ventilation. Tolerance does not develop, and few adverse effects have been reported.

CONCLUSIONS

Recent studies of PPIs have shown promising results in high-risk patients, making this class of drugs an option for the prophylaxis of SRMD.

QUANTITATIVE PREDICTION OF THE IN VIVO INHIBITION OF DIAZEPAM METABOLISM BY OMEPRAZOLE USING RAT LIVER MICROSOMES AND HEPATOCYTES

The diazepam (DZ)-omeprazole (OMP) interaction has been selected as a prototype for an important drug-drug interaction involving cytochrome P450 inhibition. The availability of an in vivo K(i) value (unbound K(i), 21 microM) obtained from a series of steady-state inhibitor infusion studies allowed assessment of several in vitro-derived predictions of this inhibition interaction. Studies monitoring substrate depletion with time were used to obtain in vitro K(i) values that were evaluated against the more traditional metabolite formation approach using microsomes and hepatocytes. OMP inhibited the metabolism of DZ to its primary metabolites 4'-hydroxydiazepam, 3-hydroxydiazepam, and nordiazepam to different extents over a range of concentrations (0.3-150 microM), and a competitive inhibition model best fitted the data. The K(i) values observed using the substrate depletion approach (16 +/- 3 microM and 7 +/- 2 microM in microsomes and hepatocytes, respectively) were in good agreement with the overall weighted K(i) values obtained using the standard metabolite formation approach (12 +/- 2 microM and 16 +/- 5 microM in microsomes and hepatocytes, respectively). In vitro binding and cell uptake studies as well as human serum albumin studies in hepatocytes confirmed the importance of both intracellular and extracellular unbound concentrations of inhibitor when considering inhibition predictions. Both kinetic approaches and both in vitro systems predicted the in vivo interaction well and provide a good example of the ability of in vitro inhibition studies to quantitatively predict an in vivo drug-drug interaction successfully.

Benzimidazole drugs and modulation of biotransformation enzymes

Benzimidazole drugs (e.g., anthelmintics albendazole, fenbendazole, oxfenbendazole, thiabendazole, mebendazole; inhibitors of proton pump omeprazole, lansoprasole, pantoprasole) represent substances used in both human and veterinary medicine; however, from the point of view of induction and inhibition of biotransformation enzymes, research has been carried out mainly due to the initiative of human pharmacologists. The purpose of the present review is to inform about inductive and inhibitive effects of benzimidazole drugs in man, animals and cell cultures. Pharmacological and toxicological consequences of modulation of biotransformation enzymes are discussed and the significance of studies in the field of modulation of biotransformation enzymes in food-producing animals is explained. Since the modulating effect of benzimidazoles strongly varies depending on structure of the individual substances, the particular attention is paid to structure-modulation relationships.

Effect of omeprazole on the anticoagulant activity and the pharmacokinetics of warfarin enantiomers in rats

The effect of the proton pump inhibitor omeprazole on the anticoagulation and the pharmacokinetics of warfarin enantiomers was studied in rats. Omeprazole given intraperitoneally in a daily dose of 0.67 mg/kg over 8 days had no significant effect on the absorption, distribution and the total serum clearance values of the S- and R-enantiomers of warfarin. Omeprazole did not affect the pre-treatment baseline blood coagulation and the in vitro rat serum protein binding of warfarin enantiomers. In vitro study with rat liver microsomes showed that omeprazole had an inhibitory effect on the hydroxylation of warfarin enantiomers. Results obtained from in vivo urinary excretion study revealed that omeprazole inhibited the formation clearance of both S- and R-form oxidative metabolites, but increased that of the overall reductive metabolites, and the renal clearance of S- and R-enantiomers, of warfarin. As a consequence, the total serum clearance values for warfarin enantiomers remained unchanged and the hypoprothrombinaemic response produced by warfarin was not affected.

Demethylation of radiolabelled dextromethorphan in rat microsomes and intact hepatocytes

Liver microsomal preparations are routinely used to predict drug interactions that can occur in vivo as a result of inhibition of cytochrome P450 (CYP)-mediated metabolism. However, the concentration of free drug (substrate and inhibitor) at its intrahepatic site of action, a variable that cannot be directly measured, may be significantly different from that in microsomal incubation systems. Intact cells more closely reflect the environment to which CYP substrates and inhibitors are exposed in the liver, and it may therefore be desirable to assess the potential of a drug to cause CYP inhibition in isolated hepatocytes. The objective of this study was to compare the inhibitory potencies of a series of CYP2D inhibitors in rat liver microsomes and hepatocytes. For this, we developed an assay suitable for rapid analysis of CYP-mediated drug interactions in both systems, using radiolabelled dextromethorphan, a well-characterized probe substrate for enzymes of the CYP2D family. Dextromethorphan demethylation exhibited saturable kinetics in rat microsomes and hepatocytes, with apparent Km and Vmax values of 2.1 vs. 2.8 microM and 0.74 nM x min(-1) per mg microsomal protein vs. 0.11 nM x min(-1) per mg cellular protein, respectively. Quinine, quinidine, pyrilamine, propafenone, verapamil, ketoconazole and terfenadine inhibited dextromethorphan O-demethylation in rat liver microsomes and hepatocytes with IC50 values in the low micromolar range. Some of these compounds exhibited biphasic inhibition kinetics, indicative of interaction with more than one CYP2D isoform. Even though no important differences in inhibitory potencies were observed between the two systems, most inhibitors, including quinine and quinidine, displayed 2-3-fold lower IC50 in hepatocytes than in microsomes. The cell-associated concentrations of quinine and quinidine were found to be significantly higher than those in the extracellular medium, suggesting that intracellular accumulation may potentiate the effect of these compounds. Studies of CYP inhibition in intact hepatocytes may be warranted for compounds that concentrate in the liver as the result of cellular transport.

Screening of drug candidates for their drug--drug interaction potential

Within the past year, additional papers have been published that focus on higher-throughput drug-interaction screening. Some papers have described enzyme assays that can be used to evaluate inhibition or induction of the human cytochrome P450s. At the same time, numerous investigators have developed computational (in silico) methods to predict interactions and have validated the approach using in vitro (assay-derived) data. These so called 'in silico--in vitro' correlations have great potential and may complement existing 'in vitro--in vivo' correlations.

Clinically important pharmacokinetic drug-drug interactions: role of cytochrome P450 enzymes

Drug-drug interactions have become an important issue in health care. It is now realized that many drug-drug interactions can be explained by alterations in the metabolic enzymes that are present in the liver and other extra-hepatic tissues and many of the major pharmacokinetic interactions between drugs are due to hepatic cytochrome P450 (P450 or CYP) enzymes being affected by previous administration of other drugs. After coadministration, some drugs act as potent enzyme inducers, whereas others are inhibitors. However, reports of enzyme inhibition are very much more common. Understanding these mechanisms of enzyme inhibition or induction is extremely important in order to give appropriate multiple-drug therapies. In the future, it may help to identify individuals at greatest risk of drug interactions and adverse events.

Quantitative prediction of in vivo drug clearance and drug interactions from in vitro data on metabolism, together with binding and transport

It is of great importance to predict in vivo pharmacokinetics in humans based on in vitro data. We summarize recent findings of the quantitative prediction of the hepatic metabolic clearance from in vitro studies using human liver microsomes, hepatocytes, or P450 isozyme recombinant systems. Furthermore, we propose a method to predict pharmacokinetic alterations caused by drug-drug interactions that is based on in vitro metabolic inhibition studies using human liver microsomes or human enzyme expression systems. Although we attempt to avoid the false negative prediction, the inhibitory effect was underestimated in some cases, indicating the possible contribution of the active transport into hepatocytes and/or interactions at the processes other than the hepatic metabolism, such as the metabolism and transport processes during gastrointestinal absorption.

Selectivity of omeprazole inhibition towards rat liver cytochromes P450

1. The potency and selectivity of omeprazole as an inhibitor of cytochrome P450-mediated drug oxidations has been assessed in hepatic microsomes from the untreated, phenobarbitone-treated, beta-naphthoflavone-treated and dexamethasone-treated rat. Using the marker substrates diazepam, ethoxycoumarin, ethoxyresofurin and ethylmorphine in the above microsomal preparations, inhibitory activity against CYP1A, 2B, 2C and 3A members of the cytochrome P450 superfamily were determined. 2. In each situation studied the kinetics of inhibition by omeprazole were competitive in nature with Ki's ranging from 25 to > 1000 microM. Marker activities for the 3A family in microsomes from the dexamethasone-treated and phenobarbitone-treated rat (3-hydroxylation of diazepam and N-demethylation of ethylmorphine) were most susceptible to omeprazole inhibition (Km/Ki ratios greater than unity) compared with marker activities for the CYP1A, 2B and 2C sub-families (Km/Ki ratios < or = unity). 3. Omeprazole sulphoxide showed similar potency and selectivity of inhibition to its parent drug. Analogous studies with the same marker activities using ketoconazole indicated that both omeprazole and its sulphoxide metabolite are less potent as an inhibitor of cytochrome P4503A in rat than this well characterised prototype.