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R Scott Obach

Publications and source records attributed to R Scott Obach.

At least 19 recordsLinked to original sources
PubMed2006

Strategy for genotoxicity testing--metabolic considerations.

The report from the 2002 International Workshop on Genotoxicity Tests (IWGT) Strategy Expert Group emphasized metabolic considerations as an important area to address in developing a common strategy for genotoxicity testing. A working group convened at the 2005 4th IWGT to discuss this area further and propose practical strategy recommendations. To propose a strategy, the working group reviewed: (1) the current status and deficiencies, including examples of carcinogens "missed" in genotoxicity testing, established shortcomings of the standard in vitro induced S9 activation system and drug metabolite case examples; (2) the current status of possible remedies, including alternative S9 sources, other external metabolism systems or genetically engineered test systems; (3) any existing positions or guidance. The working group established consensus principles to guide strategy development. Thus, a human metabolite of interest should be represented in genotoxicity and carcinogenicity testing, including evaluation of alternative genotoxicity in vitro metabolic activation or test systems, and the selection of a carcinogenicity test species showing appropriate biotransformation. Appropriate action triggers need to be defined based on the extent of human exposure, considering any structural knowledge of the metabolite, and when genotoxicity is observed upon in vitro testing in the presence of metabolic activation. These triggers also need to be considered in defining the timing of human pharmaceutical ADME assessments. The working group proposed two strategies to consider; a more proactive approach, which emphasizes early metabolism predictions to drive appropriate hazard assessment; and a retroactive approach to manage safety risks of a unique or "major" metabolite once identified and quantitated from human clinical ADME studies. In both strategies, the assessment of the genotoxic potential of a metabolite could include the use of an alternative or optimized in vitro metabolic activation system, or direct testing of an isolated or synthesized metabolite. The working group also identified specific areas where more data or experiences need to be gained to reach consensus. These included defining a discrete exposure action trigger for safety assessment and when direct testing of a metabolite of interest is warranted versus the use of an alternative in vitro activation system, a universal recommendation for the timing of human ADME studies for drug candidates and the positioning of metabolite structural knowledge (through in silico systems, literature, expert analysis) in supporting metabolite safety qualification. Lastly, the working group outlined future considerations for refining the initially proposed strategies. These included the need for further evaluation of the current in vitro genotoxicity testing protocols that can potentially perturb or reduce the level of metabolic activity (potential alterations in metabolism associated with both the use of some solvents to solubilize test chemicals and testing to the guidance limit dose), and proposing broader evaluations of alternative metabolic activation sources or engineered test systems to further challenge the suitability of (or replace) the current induced liver S9 activation source.

2-Acetylaminofluorene↗
PubMed2006

Mechanism-based inactivation of human cytochrome p450 enzymes and the prediction of drug-drug interactions.

The ability to use vitro inactivation kinetic parameters in scaling to in vivo drug-drug interactions (DDIs) for mechanism-based inactivators of human cytochrome P450 (P450) enzymes was examined using eight human P450-selective marker activities in pooled human liver microsomes. These data were combined with other parameters (systemic C(max), estimated hepatic inlet C(max), fraction unbound, in vivo P450 enzyme degradation rate constants estimated from clinical pharmacokinetic data, and fraction of the affected drug cleared by the inhibited enzyme) to predict increases in exposure to drugs, and the predictions were compared with in vivo DDIs gathered from clinical studies reported in the scientific literature. In general, the use of unbound systemic C(max) as the inactivator concentration in vivo yielded the most accurate predictions of DDI with a mean -fold error of 1.64. Abbreviated in vitro approaches to identifying mechanism-based inactivators were developed. Testing potential inactivators at a single concentration (IC(25)) in a 30-min preincubation with human liver microsomes in the absence and presence of NADPH followed by assessment of P450 marker activities readily identified those compounds known to be mechanism-based inactivators and represents an approach that can be used with greater throughput. Measurement of decreases in IC(50) occurring with a 30-min preincubation with liver microsomes and NADPH was also useful in identifying mechanism-based inactivators, and the IC(50) measured after such a preincubation was highly correlated with the k(inact)/K(I) ratio measured after a full characterization of inactivation. Overall, these findings support the conclusion that P450 in vitro inactivation data are valuable in predicting clinical DDIs that can occur via this mechanism.

Cytochrome P-450 Enzyme Inhibitors↗
PubMed2006

Metabolism of nomifensine to a dihydroisoquinolinium ion metabolite by human myeloperoxidase, hemoglobin, monoamine oxidase A, and cytochrome P450 enzymes.

Nomifensine is an antidepressant agent that was removed from use because of a high incidence of hemolytic anemia. It contains an N-methyl-8-aminotetrahydroisoquinoline ring which has the potential to be oxidized to quaternary dihydroisoquinolinium and isoquinolinium ions, albeit such a transformation had not been previously observed. In this report, we demonstrate the conversion of nomifensine to a dihydroisoquinolinium ion metabolite by several human enzymes. Human liver microsomes supplemented with NADPH generated the dihydroisoquinolinium ion metabolite along with other hydroxylated metabolites, whereas when supplemented with t-butyl peroxide, only the dihydroisoquinolinium ion metabolite was observed. Monoamine oxidase A, but not monoamine oxidase B, catalyzed this reaction, as well as human hemoglobin supplemented with H2O2. Human myeloperoxidase catalyzed this reaction in the presence of H2O2, and activation of the reaction was observed when incubations were conducted in the presence of acetaminophen at concentrations relevant to those measured in humans. The reaction was also observed in human whole blood. The equilibrium between the dihydroisoquinolinium ion and carbinolamine was shown to have a pK of about 11.7. The dihydroisoquinolinium ion was shown to react with cyanide and borohydride, but not glutathione. These findings suggest that the electrophilic nomifensine dihydroisoquinolinium metabolite, which can be generated by several enzymes, could be behind toxic responses to nomifensine such as hemolytic anemia and hepatotoxicity.

Cytochrome P-450 Enzyme System↗
PubMed2006

A hybrid mixture discriminant analysis-random forest computational model for the prediction of volume of distribution of drugs in human.

A computational approach is described that can predict the VD(ss) of new compounds in humans, with an accuracy of within 2-fold of the actual value. A dataset of VD values for 384 drugs in humans was used to train a hybrid mixture discriminant analysis-random forest (MDA-RF) model using 31 computed descriptors. Descriptors included terms describing lipophilicity, ionization, molecular volume, and various molecular fragments. For a test set of 23 proprietary compounds not used in model construction, the geometric mean fold-error (GMFE) was 1.78-fold (+/-11.4%). The model was also tested using a leave-class out approach wherein subsets of drugs based on therapeutic class were removed from the training set of 384, the model was recast, and the VD(ss) values for each of the subsets were predicted. GMFE values ranged from 1.46 to 2.94-fold, depending on the subset. Finally, for an additional set of 74 compounds, VD(ss) predictions made using the computational model were compared to predictions made using previously described methods dependent on animal pharmacokinetic data. Computational VD(ss) predictions were, on average, 2.13-fold different from the VD(ss) predictions from animal data. The computational model described can predict human VD(ss) with an accuracy comparable to predictions requiring substantially greater effort and can be applied in place of animal experimentation.

Algorithms↗
PubMed2006

Metabolites and safety: What are the concerns, and how should we address them?

The issue of the safety of drug metabolites in humans is a complex one. In this commentary, a proposal is made regarding how to deal with drug metabolites observed in humans such that the safety of these molecules can be assured. The human radiolabeled ADME study, in which metabolites are identified and quantified in circulation and excreta, is proposed as the primary source of information on human metabolites from which decisions can be made regarding the need for further risk assessment. Although radiolabel ADME studies yield quantitative metabolite profiles that are commonly reported as a percentage of the total drug related material (for circulating metabolites) and a percentage of total dose (for excretory metabolites), it is essential to convert these values into absolute abundances. The structure of a metabolite, its abundance, the biofluid in which it is observed (circulation or excreta), and the toxicity mechanism of concern serve as the four most important characteristics for determination as to whether further safety consideration is warranted. Metabolites in circulation require consideration for toxicity that can arise by effects on specific receptors and/or enzymes (either target or off-target). Metabolites in excreta require consideration for their potential to indicate a body-burden to chemically reactive intermediary metabolites, which can yield toxicities of nonspecific mechanisms commonly associated with covalent binding (e.g., carcinogenicity, immunoallergic response, etc.). Through an analysis of 24 drugs removed from the market because of human toxicity, it was concluded that further testing of human metabolites would not have yielded any additional information that could have predicted human safety findings because human metabolites would have been present in the animal species routinely used in toxicology testing after the administration of the parent compound.

Animals↗
PubMed2006

Evaluation of 227 drugs for in vitro inhibition of cytochrome P450 2B6.

Cytochrome P450 2B6 (CYP2B6) is involved in the metabolism of drugs such as bupropion, efavirenz, propofol, and selegiline, among others. More than 200 commonly prescribed drugs and other xenobiotics were examined for their ability to inhibit CYP2B6-mediated bupropion hydroxylase activity. Thirty compounds were found exhibiting greater than 50% inhibition at 30 microM. Inhibitors of CYP2B6 were identified from a wide variety of therapeutic classes. The 2 platelet aggregation inhibitors, clopidogrel and ticlopidine, were both identified as potent inhibitors (IC50 = 0.0206 and 0.149 microM, respectively). Other inhibitors (IC50 < 1 microM) included clotrimazole, itraconazole, sertraline, and raloxifene. These in vitro data were used along with clinical pharmacokinetic information in the prediction of potential drug-drug interactions that could occur by inhibition of CYP2B6. Although few drugs tested are expected to cause drug interactions, clopidogrel and ticlopidine were identified as being of concern as potential inhibitors of clinical relevance. These findings are discussed in context to potential drug interactions that could be observed between these agents and drugs for which CYP2B6 is involved in metabolism.

Algorithms↗
PubMed2005

Effects of steady-state lasofoxifene on CYP2D6- and CYP2E1-mediated metabolism.

BACKGROUND: Lasofoxifene, a selective estrogen receptor modulator, may be coadministered with other drugs, raising the issue of drug-drug interactions. OBJECTIVE: Using a 7-day, open-label, sequential study to determine whether lasofoxifene at steady-state concentration affects cytochrome P450-mediated drug metabolism. METHODS: Lasofoxifene was tested in 18 postmenopausal women with probe drugs for CYP2E1 and CYP2D6. Changes in CYP2E1 metabolism were measured by the formation clearance of 6-hydroxychlorzoxazone (6-OHCLZ; Cl(f,6-OHCLZ)) following a 250 mg dose of chlorzoxazone in the absence (day 1) and presence (day 6) of lasofoxifene. Changes in the dextromethorphan/dextrorphan urine metabolic ratio (MRDX) measured the effect on CYP2D6 metabolism following a 30 mg dose of dextromethorphan in the absence and presence of lasofoxifene (days 2 and 7). RESULTS: Steady-state lasofoxifene did not affect the formation clearance of 6-OHCLZ or the urinary MRDX. For 6-OHCLZ, the lower boundary (87.12%) of the 90% confidence interval for the ratio (day 6/day 1) of Cl(f,6-OHCLZ) was well above the clinically acceptable ratio of 60%. Both the individual and group mean Cl(f,6-OHCLZ) values were comparable in the absence and presence of lasofoxifene. For MRDX, the upper boundary (129.37%) of the 90% confidence interval for the ratio (day 7/day 2) of MRDX was well below the stipulated ratio of 200%. The individual and mean MRDX values were comparable in the absence and presence of lasofoxifene. Lasofoxifene was well tolerated; adverse events were mild and transient. CONCLUSIONS: Lasofoxifene has no effect on CYP2E1- or CYP2D6-mediated drug metabolism and should not affect drugs metabolized by other cytochrome P450 isoenzymes.

Administration, Oral↗
PubMed2005

Metabolism and disposition of varenicline, a selective alpha4beta2 acetylcholine receptor partial agonist, in vivo and in vitro.

The metabolism and disposition of varenicline (7,8,9,10-tetrahydro-6,10-methano-6H-pyrazino[2,3-h][3]benzazepine), a partial agonist of the nicotinic acetylcholine receptor for the treatment of tobacco addiction, was examined in rats, mice, monkeys, and humans after oral administration of [14C]varenicline. In the circulation of all species, the majority of drug-related material was composed of unchanged varenicline. In all four species, drug-related material was primarily excreted in the urine. A large percentage was excreted as unchanged parent drug (90, 84, 75, and 81% of the dose in mouse, rat, monkey, and human, respectively). Metabolites observed in excreta arose via N-carbamoyl glucuronidation and oxidation. These metabolites were also observed in the circulation, in addition to metabolites that arose via N-formylation and formation of a novel hexose conjugate. Experiments were conducted using in vitro systems to gain an understanding of the enzymes involved in the formation of the N-carbamoylglucuronide metabolite in humans. N-Carbamoyl glucuronidation was catalyzed by UGT2B7 in human liver microsomes when incubations were conducted under a CO2 atmosphere. The straightforward dispositional profile of varenicline should simplify its use in the clinic as an aid in smoking cessation.

Administration, Oral↗
PubMed2005

The utility of in vitro cytochrome P450 inhibition data in the prediction of drug-drug interactions.

The accuracy of in vitro inhibition parameters in scaling to in vivo drug-drug interactions (DDI) was examined for over 40 drugs using seven human P450-selective marker activities in pooled human liver microsomes. These data were combined with other parameters (systemic C(max), estimated hepatic inlet C(max), fraction unbound, and fraction of the probe drug cleared by the inhibited enzyme) to predict increases in exposure to probe drugs, and the predictions were compared with in vivo DDI gathered from clinical studies reported in the scientific literature. For drugs that had been tested as precipitants of drug interactions for more than one P450 in vivo, the order of inhibitory potencies in vitro generally aligned with the magnitude of the in vivo interactions. With the exception of many drugs known to be mechanism-based inactivators, the use of in vitro IC(50), the fraction of the affected drug metabolized by the target enzyme [f(m(CYP))] and an estimate of free hepatic inlet C(max), was generally successful in identifying those drugs that cause at least a 2-fold increase in the exposure to P450 marker substrate drugs. For CYP3A, incorporation of inhibition of both hepatic and intestinal metabolism was needed for the prediction of DDI. Many CYP3A inhibitors showed a different inhibitory potency for three different CYP3A marker activities; however, these differences generally did not alter the conclusions regarding whether a drug would cause a CYP3A DDI in vivo. Overall, these findings support the conclusion that P450 in vitro inhibition data are valuable in designing clinical DDI study strategies and can be used to predict the magnitudes of DDI.

Algorithms↗
PubMed2005

Biotransformation of a GABAA receptor partial agonist in sprague-dawley rats and cynomolgus monkeys: identification of two unique N-carbamoyl metabolites.

The absorption, metabolism, and excretion of N-[3-fluoro-4-[2-(propylamino)ethoxy]phenyl]-4,5,6,7-tetrahydro-4-oxo-1H-indole-3-carboxamide monomethanesulfonate (1), a GABAA receptor partial agonist potentially useful in treating generalized anxiety disorder, have been evaluated in both Sprague-Dawley rats and cynomolgus monkeys using [14C]1. In both species, mass balance was achieved within 48 h postdose, with the majority of drug-related material excreted within the feces; the clearance of 1 in each species had both metabolic and renal components. In addition to the metabolites produced by aliphatic hydroxylation and/or N-dealkylation of 1, two unique metabolites were detected: a putative carbamic acid (M7) in rat plasma and monkey bile, and an N-carbamoyl glucuronide (M8) in both rat and monkey bile. Metabolite M8 was structurally deciphered by liquid chromatographytandem mass spectrometry and NMR, and was readily generated in vitro upon incubation of [14C]1 with rat liver microsomes fortified with uridine 5'-diphosphoglucuronic acid trisodium salt and alamethicin under a CO2 atmosphere. Treatment of M8 with beta-glucuronidase afforded 1 directly. The presence of M8 in bile and its notable absence from other matrices suggests the enterohepatic cycling of 1 via M8. Although the structure of M7 was not elucidated unequivocally due to its inability to be formed in vitro and its minimal absolute quantities in limited biological matrices, data herein clearly support its structural rationalization. Furthermore, since M7 is the precursor of M8, detection of M8 is indirect evidence of its existence. It is proposed that M7 arises from an equilibrium between 1 and dissolved CO2-equivalents both in vivo and in vitro, similar to carbamino bonds observed in hemoglobin and certain amino acids, respectively.

Animals↗
PubMed2005

Seeing through the mist: abundance versus percentage. Commentary on metabolites in safety testing.

Recent attention has been given to the potential roles that metabolites could play in safety evaluations of new drugs. In 2002, a proposal was published on "metabolites in safety testing" ("MIST"), which suggested some guidelines regarding when it is necessary to provide greater assessment of the safety of metabolites. However, this proposal was based on relative abundance values, i.e., the percentage that a metabolite comprises of total exposure to drug-related material. In the present commentary, we propose that absolute abundance criteria be used rather than relative abundance. The absolute abundance of a metabolite in circulation or excreta in humans should be combined with other information regarding the chemical structure of the metabolite (e.g., similarity to the parent drug, presence of chemically reactive substituents) and potential mechanisms of toxicity (e.g., suprapharmacological effects, secondary pharmacological effects, nonspecific effects). Decision trees are described that can be used to address human metabolites in safety testing.

Animals↗
PubMed2005

In vitro-in vivo extrapolation of CYP2D6 inactivation by paroxetine: prediction of nonstationary pharmacokinetics and drug interaction magnitude.

Attempts at predicting drug-drug interactions perpetrated by paroxetine from in vitro data have utilized reversible enzyme inhibition models and have been unsuccessful to date, grossly underpredicting interaction magnitude. Recent data have provided evidence for mechanism-based inactivation of CYP2D6 by paroxetine. We have predicted the pharmacokinetic consequences of CYP2D6 inactivation by paroxetine from in vitro inactivation kinetics (kinact 0.17 min(-1), unbound KI 0.315 microM), in vivo inhibitor concentrations, and an estimated CYP2D6 degradation half-life of 51 h, using a mathematical model of mechanism-based inhibition. The model-predicted accumulation ratio of paroxetine was 5 times that expected from single-dose kinetics and in excellent agreement with the observed 5- to 6-fold greater accumulation. Magnitudes of interactions produced by paroxetine (20-30 mg/day) with desipramine, risperidone, perphenazine, atomoxetine, (S)-metoprolol, and (R)-metoprolol were predicted, considering the contribution of CYP2D6 to their oral clearance. Predicted fold-increases in victim drug AUC were 5-, 6-, 5-, 6-, 4-, and 6-fold, respectively, and are in reasonable agreement with observed values of 5-, 6-, >7-, 7-, 5-, and 8-fold, respectively. Failure to consider microsomal binding in vitro adversely affected predictive accuracy. Simulation of the sensitivities of these predictions to model inputs suggests a 2-fold underprediction of interaction magnitude when a CYP2D6 degradation half-life of 14 h (reported for rat CYP3A) is used. In summary, the scaling model for mechanism-based inactivation successfully predicted the pharmacokinetic consequences of CYP2D6 inactivation by paroxetine from in vitro data.

Cytochrome P-450 CYP2D6↗
PubMed2005

Drugs that inhibit oxidation reactions catalyzed by aldehyde oxidase do not inhibit the reductive metabolism of ziprasidone to its major metabolite, S-methyldihydroziprasidone: an in vitro study.

Ziprasidone is metabolized in 2 sequential reactions to S-methyldihydroziprasidone, a major circulating metabolite of ziprasidone in humans. Aldehyde oxidase catalyzes the first reaction, a reduction of the benzisothiazole ring to dihydroziprasidone, and thiol methyltransferase catalyzes the second reaction, methylation of the thiophenol group to yield S-methyldihydroziprasidone. The conversion of ziprasidone to S-methyldihydroziprasidone was observed in S9 fraction from human livers when supplemented with S-adenosylmethionine. In this report, 36 drugs and other compounds that had been previously identified as in vitro inhibitors of human liver aldehyde oxidase were assessed for their potential to inhibit ziprasidone metabolism to S-methyldihydroziprasidone. Of these drugs, only ketoconazole, ondansetron, and tamoxifen demonstrated any inhibition. From these findings, it can be concluded that most known inhibitors of human aldehyde oxidase-catalyzed oxidation reactions are not inhibitors of ziprasidone reductive metabolism. Aldehyde oxidase oxidation and reduction reactions appear to have different sensitivities to inhibitors. These data suggest that it is unlikely that aldehyde oxidase inhibitors could cause increases in ziprasidone exposure in the clinic.

Aldehyde Oxidase↗
PubMed2005

Impact of parallel pathways of drug elimination and multiple cytochrome P450 involvement on drug-drug interactions: CYP2D6 paradigm.

The success of in vitro derived Ki values for predicting drug-drug interactions in vivo has been mixed. For example, the use of hepatic input concentration of inhibitor has resolved the negative and positive interactions on the qualitative level, eliminating false negative predictions. However, several examples of false positives and a high incidence of over-predictions of true positive interactions indicated a need for incorporation of additional factors. The aim of this study was to investigate the effect of parallel elimination pathways as a possible reason for false positives and over-predictions. Simulation studies indicated that the degree of interaction (assessed by area under the plasma concentration-time curve ratio in the presence and absence of inhibitor) depends largely on the fraction of substrate metabolized by the particular P450 enzyme (fmCYPi) that is inhibited. The current analysis focused on CYP2D6 interactions due to the well documented genetic polymorphism and the ability to estimate fmCYP2D6 readily from in vivo data obtained in extensive and poor metabolizers. Based on either a phenotype study or an alternative regression analysis approach, the fmCYP2D6 values of 0.37 to 0.94 and 0.25 to 0.89, respectively, were obtained for nine substrates. Prediction of 44 drug-drug interaction studies was improved by the combination of parallel pathways of elimination and their susceptibility to inhibition. The overall success of predicting positive and negative interactions was increased from 54% to 84%, and the number of over-predictions was substantially reduced. It is concluded that incorporating parallel pathways provides a valuable step forward in making quantitative predictions of drug-drug interactions from in vitro data.

Cytochrome P-450 CYP2D6↗
PubMed2005

Examination of 209 drugs for inhibition of cytochrome P450 2C8.

Cytochrome P450 2C8 is involved in the metabolism of drugs such as paclitaxel, repaglinide, rosiglitazone, and cerivastatin, among others. An in vitro assessment of 209 frequently prescribed drugs and related xenobiotics was carried out to examine their potential to inhibit CYP2C8. A validated sensitive, moderate-throughput high-performance liquid chromatography/tandem mass spectrometry (HPLC/MS/MS) assay was used to detect N-desethylamodiaquine, the CYP2C8-derived major metabolite of amodiaquine metabolism, using heterologously expressed recombinant CYP2C8 (rhCYP2C8) and pooled human liver microsomes. The 209 drugs were first tested at 30 muM for their ability to inhibit rhCYP2C8. Forty-eight compounds exhibited greater than 50% inhibition and were further evaluated for measurement of IC50. The six most potent inhibitors (IC50 <1 microM) from this set were measured for IC50 in pooled human liver microsomes, and the most potent inhibitor identified was the leukotriene receptor antagonist, montelukast (IC50 = 19.6 nM). Inhibitors of CYP2C8 were identified from a wide variety of therapeutic classes, with no single class predominating. Other potent inhibitors included candesartan cilexetil (cyclohexylcarbonate ester prodrug of candesartan), zafirlukast, clotrimazole, felodipine, and mometasone furoate. Seventeen moderate inhibitors of rhCYP2C8 (1 < IC50 < 10 microM) included salmeterol, raloxifene, fenofibrate, ritonavir, levothyroxine, tamoxifen, loratadine, quercetin, oxybutynin, medroxyprogesterone, simvastatin, ketoconazole, ethinyl estradiol, spironolactone, lovastatin, nifedipine, and irbesartan. These in vitro data were used along with clinical pharmacokinetic information in predicting potential drug-drug interactions that could occur by inhibition of CYP2C8. Although almost all drugs tested are not expected to cause drug interactions via inhibition of CYP2C8, montelukast was identified as being of concern as a potential inhibitor of clinical relevance. These findings are discussed in context to potential drug interactions that could be observed between these agents and drugs for which CYP2C8 is involved in metabolism and warrant investigation of the possibility of clinical drug interactions mediated by inhibition of this enzyme.

Aryl Hydrocarbon Hydroxylases↗
PubMed2005

A comprehensive listing of bioactivation pathways of organic functional groups.

The occurrence of idiosyncratic adverse drug reactions during late clinical trials or after a drug has been released can lead to a severe restriction in its use and even in its withdrawal. Metabolic activation of relatively inert functional groups to reactive electrophilic intermediates is considered to be an obligatory event in the etiology of many drug-induced adverse reactions. Therefore, a thorough examination of the biochemical reactivity of functional groups/structural motifs in all new drug candidates is essential from a safety standpoint. A major theme attempted in this review is the comprehensive cataloging of all of the known bioactivation pathways of functional groups or structural motifs commonly utilized in drug design efforts. Potential strategies in the detection of reactive intermediates in biochemical systems are also discussed. The intention of this review is not to "black list" functional groups or to immediately discard compounds based on their potential to form reactive metabolites, but rather to serve as a resource describing the structural diversity of these functionalities as well as experimental approaches that could be taken to evaluate whether a "structural alert" in a new drug candidate undergoes bioactivation to reactive metabolites.

Animals↗
PubMed2004

Selective inhibition of human cytochrome P4502C8 by montelukast.

The leukotriene receptor antagonist montelukast was examined for its inhibition of the human drug-metabolizing enzyme cytochrome P4502C8 (CYP2C8). Montelukast was demonstrated to be a potent inhibitor of CYP2C8-catalyzed amodiaquine N-deethylase, rosiglitazone N-demethylase, and paclitaxel 6alpha-hydroxylase in human liver microsomes. Inhibition was also observed when the reaction was catalyzed by recombinant heterologously expressed CYP2C8. The mechanism of inhibition was competitive, with K(i) values ranging from 0.0092 to 0.15 microM. Inhibition potency was highly dependent on the microsomal protein concentration. Increasing the microsomal protein concentration by 80-fold yielded a 100-fold decrease in inhibition potency. Preincubation of montelukast with human liver microsomes and NADPH did not alter the inhibition potency, suggesting that montelukast is not a mechanism-based inactivator. Montelukast was a selective inhibitor for human CYP2C8; inhibition of other human cytochrome P450 enzymes was substantially less. These in vitro data support the use of montelukast as a selective CYP2C8 inhibitor that could be used to determine the contribution of this enzyme to drug metabolism reactions. These data also raise the possibility that montelukast could have an effect on the metabolic clearance of drugs possessing CYP2C8-catalyzed metabolism as a major clearance pathway, thereby eliciting pharmacokinetic drug-drug interactions.

Acetates↗