PubMed Health⌕ Search

Biomedical subjects

R Scott Obach

Publications and source records attributed to R Scott Obach.

At least 37 records · Page 2Linked to original sources
PubMed2004

Sertraline is metabolized by multiple cytochrome P450 enzymes, monoamine oxidases, and glucuronyl transferases in human: an in vitro study.

The oxidative and conjugative metabolism of sertraline was examined in vitro to identify the enzymes involved in the generation of N-desmethyl, deaminated, and N-carbamoyl-glucuronidated metabolites in humans. In human liver microsomes, sertraline was N-demethylated and deaminated by cytochrome P450 (P450) enzymes with overall K(m) values of 98 and 114 microM, respectively, but the intrinsic clearance for N-demethylation was approximately 20-fold greater than for deamination. Using P450 isoform-selective inhibitors and recombinant heterologously expressed enzymes, it was demonstrated that several P450 enzymes catalyzed sertraline N-demethylation, with CYP2B6 contributing the greatest extent, and lesser contributions from CYP2C19, CYP2C9, CYP3A4, and CYP2D6. For deamination, data supported a role for CYP3A4 and CYP2C19. Purified human monoamine oxidases A and B also catalyzed sertraline deamination with comparable K(m) values (230-270 microM). Monoamine oxidase B catalyzed the reaction approximately 3-fold faster than did monoamine oxidase A. Sertraline N-carbamoyl glucuronidation was measured in human liver microsomes in bicarbonate buffer and under a CO2 atmosphere (K(m) = 50 microM) and was catalyzed at the fastest rate by recombinant human UGT2B7. The observation that multiple enzymes appear to be involved in sertraline metabolism suggests that there should be no single agent that could substantially alter the pharmacokinetics of sertraline, nor should there be any single drug-metabolizing enzyme genetic polymorphism (e.g., CYP2D6, CYP2C19, CYP2C9, UGT1A1) that could profoundly impact the pharmacokinetics of sertraline.

Cytochrome P-450 Enzyme Inhibitors↗
PubMed2004

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.

ATP Binding Cassette Transporter, Subfamily B↗
PubMed2004

Prediction of human volume of distribution values for neutral and basic drugs. 2. Extended data set and leave-class-out statistics.

We present an extension and confirmation of our previously published method (J. Med. Chem. 2002, 45, 2867-2876) for the prediction of volume of distribution (VD) in humans for neutral and basic compounds. It is based on two experimentally determined physicochemical parameters, ElogD(7.4) and f(i(7.4)), the latter being the fraction of compound ionized at pH 7.4, and on the fraction of free drug in plasma (fu). By regressing the fraction unbound in tissues, fut, vs the above parameters, we demonstrate the ruggedness of the method in predicting VD through the Oie-Tozer equation, via the use of several testing approaches. A comparison is also presented between several methods based on animal pharmacokinetic data, using the same set of proprietary compounds, and it lends further support for the use of this method, as opposed to methods that require the gathering of pharmacokinetic data in laboratory animals. The reduction in the use of animals and the overall faster and cheaper accessibility of the parameters used make this method highly attractive for prospectively predicting the VD of new chemical entities in humans.

Algorithms↗
PubMed2004

Potent inhibition of human liver aldehyde oxidase by raloxifene.

The selective estrogen receptor modulator, raloxifene, has been demonstrated as a potent uncompetitive inhibitor of human liver aldehyde oxidase-catalyzed oxidation of phthalazine, vanillin, and nicotine-Delta1'(5')-iminium ion, with K(i) values of 0.87 to 1.4 nM. Inhibition was not time-dependent. Raloxifene has also been shown to be a noncompetitive inhibitor of an aldehyde oxidase-catalyzed reduction reaction of a hydroxamic acid-containing compound, with a K(i) of 51 nM. However, raloxifene had only small effects on xanthine oxidase, an enzyme related to aldehyde oxidase. In addition, several other compounds of the same therapeutic class as raloxifene were examined for their potential to inhibit aldehyde oxidase. However, none were as potent as raloxifene, since IC(50) values were orders of magnitude higher and ranged from 0.29 to 57 micro M. In an examination of analogs of raloxifene, it was shown that the bisphenol structure with a hydrophobic group on the 3-position of the benzthiophene ring system was the most important element that imparts inhibitory potency. The relevance of these data to the mechanistic understanding of aldehyde oxidase catalysis, as well as to the potential for raloxifene to cause drug interactions with agents for which aldehyde oxidase-mediated metabolism is important, such as zaleplon or famciclovir, is discussed.

Aldehyde Oxidase↗
PubMed2004

Validated assays for human cytochrome P450 activities.

The measurement of the effect of new chemical entities on human cytochrome P450 marker activities using in vitro experimentation represents an important experimental approach in drug development. In vitro drug interaction data can be used in guiding the design of clinical drug interaction studies, or, when no effect is observed in vitro, the data can be used in place of an in vivo study to claim that no interaction will occur in vivo. To make such a claim, it must be assured that the in vitro experiments are performed with absolute confidence in the methods used and data obtained. To meet this need, 12 semiautomated assays for human P450 marker substrate activities have been developed and validated using approaches described in the GLP (good laboratory practices) as per the code of U.S. Federal Regulations. The assays that were validated are: phenacetin O-deethylase (CYP1A2), coumarin 7-hydroxylase (CYP2A6), bupropion hydroxylase (CYP2B6), amodiaquine N-deethylase (CYP2C8), diclofenac 4'-hydroxylase and tolbutamide methylhydroxylase (CYP2C9), (S)-mephenytoin 4'-hydroxylase (CYP2C19), dextromethorphan O-demethylase (CYP2D6), chlorzoxazone 6-hydroxylase (CYP2E1), felodipine dehydrogenase, testosterone 6 beta-hydroxylase, and midazolam 1'-hydroxylase (CYP3A4 and CYP3A5). High-pressure liquid chromatography-tandem mass spectrometry, using stable isotope-labeled internal standards, has been applied as the analytical method. This analytical approach, through its high sensitivity and selectivity, has permitted the use of very low incubation concentrations of microsomal protein (0.01-0.2 mg/ml). Analytical assay accuracy and precision values were excellent. Enzyme kinetic and inhibition parameters obtained using these methods demonstrated high precision and were within the range of values previously reported in the scientific literature. These methods should prove useful in the routine assessments of the potential for new drug candidates to elicit pharmacokinetic drug interactions via inhibition of cytochrome P450 activities.

Amodiaquine↗
PubMed2004

Human liver aldehyde oxidase: inhibition by 239 drugs.

The authors tested 239 frequently used drugs and other compounds for their potential to inhibit the drug-metabolizing enzyme, aldehyde oxidase, in human liver cytosol. A sensitive, moderate throughput HPLC-MS assay was developed for 1-phthalazinone, the aldehyde oxidase-catalyzed product of phthalazine oxidation. Inhibition of this activity was examined for the 239 drugs and other compounds of interest at a test concentration of 50 microM. Thirty-six compounds exhibited greater than 80% inhibition and were further examined for measurement of IC50. The most potent inhibitor observed was the selective estrogen receptor modulator, raloxifene (IC50=2.9 nM), and tamoxifen, estradiol, and ethinyl estradiol were also potent inhibitors. Other classes of drugs that demonstrated inhibition of aldehyde oxidase included phenothiazines, tricyclic antidepressants, tricyclic atypical antipsychotic agents, and dihydropyridine calcium channel blockers, along with some other drugs, including loratadine, cyclobenzaprine, amodiaquine, maprotiline, ondansetron, propafenone, domperidone, quinacrine, ketoconazole, verapamil, tacrine, and salmeterol. These findings are discussed in context to potential drug interactions that could be observed between these agents and drugs for which aldehyde oxidase is involved in metabolism and warrant investigation of the possibility of clinical drug interactions mediated by inhibition of this enzyme.

Aldehyde Oxidase↗
PubMed2003

Ziprasidone metabolism, aldehyde oxidase, and clinical implications.

Ziprasidone (Geodon, Zeldox), a recently approved atypical antipsychotic agent for the treatment of schizophrenia, undergoes extensive metabolism in humans with very little (<5%) of the dose excreted as unchanged drug. Two enzyme systems have been implicated in ziprasidone metabolism: the cytosolic enzyme, aldehyde oxidase, catalyzes the predominant reductive pathway, and cytochrome P4503A4 (CYP3A4) is responsible for two alternative oxidation pathways. The involvement of two competing pathways in ziprasidone metabolism greatly reduces the potential for pharmacokinetic interactions between ziprasidone and other drugs. Because CYP3A4 only mediates one third of ziprasidone metabolism, the likelihood of interactions between ziprasidone and CYP3A4 inhibitors/ substrates is low. Furthermore, aldehyde oxidase activity does not appear to be altered when drugs or xenobiotics are coadministered. Aldehyde oxidase, a molybdenum-containing enzyme, catalyzes the oxidation of N-heterocyclic drugs such as famciclovir and zaleplon, in addition to reducing some agents such as zonisamide. Both reactions can occur simultaneously. Although in vitro inhibitors of aldehyde oxidase have been identified, there are no reported clinical interactions with aldehyde oxidase inhibitors or inducers. There is no evidence of genetic polymorphism in aldehyde oxidase, and thus it not surprising that ziprasidone exposure demonstrates unimodality in humans. Aldehyde oxidase is unrelated to the similarly named enzyme aldehyde dehydrogenase, which is predominantly responsible for the oxidation of acetaldehyde during ethanol metabolism. Consequently, it is unlikely that there would be any pharmacokinetic interaction between ethanol and ziprasidone.

Aldehyde Oxidase↗
PubMed2003

Mechanism-based inactivation of human recombinant P450 2C9 by the nonsteroidal anti-inflammatory drug suprofen.

The nonsteroidal anti-inflammatory agent (+ or -)-suprofen [alpha-methyl-4-(2-thienylcarbonyl)benzeneacetic acid] was evaluated as a P450 2C9 inactivator. (+ or -)-Suprofen inactivated the diclofenac-4-hydroxylase activity of baculovirus-expressed P450 2C9 in a time- and concentration-dependent manner, which was consistent with mechanism-based inactivation. The loss of activity followed pseudo-first-order kinetics and was suprofen- and NADPH-dependent. The kinetic parameters for inactivation kinact and KI were 0.091 min-1 and 3.7 microM, respectively, and the partition ratio was 101. Although P450 2C9 substrate S-warfarin partially protected against inactivation, reactive oxygen scavengers such as superoxide dismutase and catalase did not prevent inactivation. Extensive dialysis did not regenerate enzyme activity, suggesting that inactivation proceeded via covalent modification. Inactivated P450 2C9 lost <10% of its ability to form a CO-reduced complex, suggesting that inactivation may have resulted from covalent modification of apoprotein. Addition of exogenous nucleophiles such as glutathione and semicarbazide partially protected against inactivation. Apart from the metabolism of suprofen to 5-hydroxysuprofen, the formation of a suprofen-glutathione conjugate was also discernible in microsomal mixtures containing glutathione. Time of flight mass spectrometry revealed a protonated monoisotopic mass of 566.1304 for this conjugate, consistent with an elemental composition of C24H28N3O9S2. The mass spectrum indicated that conjugation had occurred on the intact thiophene ring, presumably via a thioether linkage. Further evidence for the formation of an electrophilic intermediate in suprofen-P450 2C9 incubations was obtained via the characterization of a novel pyridazine adduct upon addition of semicarbazide to the microsomal mixtures. The pyridazine derivative had a protonated monoisotopic mass of 257.0895 that was consistent with an elemental composition of C14H13O3N2. The formation of the stable pyridazine adduct suggested the generation of an electrophilic gamma-thioketo-alpha, beta-unsaturated aldehyde, analogous to that observed during the cytochrome P450-mediated bioactivation of furan. This electrophilic alpha, beta-unsaturated aldehyde represents a possible reactive intermediate that bioalkylates P450 2C9.

Anti-Inflammatory Agents, Non-Steroidal↗
PubMed2003

Apparent mechanism-based inhibition of human CYP2D6 in vitro by paroxetine: comparison with fluoxetine and quinidine.

Paroxetine, a selective serotonin reuptake inhibitor, is a potent inhibitor of cytochrome P450 2D6 (CYP2D6) activity, but the mechanism of inhibition is not established. To determine whether preincubation affects the inhibition of human liver microsomal dextromethorphan demethylation activity by paroxetine, we used a two-step incubation scheme in which all of the enzyme assay components, minus substrate, are preincubated with paroxetine. The kinetic parameters of inhibition were also estimated by varying the time of preincubation as well as the concentration of inhibitor. From these data, a Kitz-Wilson plot was constructed, allowing the estimation of both an apparent inactivator concentration required for half-maximal inactivation (K(I)) and the maximal rate constant of inactivation (k(INACT)) value for this interaction. Preincubation of paroxetine with human liver microsomes caused an approximately 8-fold reduction in the IC(50) value (0.34 versus 2.54 microM). Time-dependent inhibition was demonstrated with an apparent K(I) of 4.85 microM and an apparent k(INACT) value of 0.17 min(-1). Spectral scanning of CYP2D6 with paroxetine yielded an increase in absorbance at 456 nm suggesting paroxetine inactivation of CYP2D6 via the formation of a metabolite intermediate complex. This pattern is consistent with the metabolism of the methylenedioxy substituent in paroxetine; such substituents may produce mechanism-based inactivation of cytochrome P450 enzymes. In contrast, quinidine and fluoxetine, both of which are inhibitors of CYP2D6 activity, did not exhibit a preincubation-dependent increase in inhibitory potency. These data are consistent with mechanism-based inhibition of CYP2D6 by paroxetine but not by quinidine or fluoxetine.

Cytochrome P-450 CYP2D6↗
PubMed2003

Impact of nonspecific binding to microsomes and phospholipid on the inhibition of cytochrome P4502D6: implications for relating in vitro inhibition data to in vivo drug interactions.

The effects of microsomal concentration on the inhibitory potencies of four compounds--fluoxetine, quinidine, imipramine, and ezlopitant--on heterologously expressed recombinant CYP2D6-catalyzed bufuralol 1'-hydroxylase activity were determined. Increasing microsomal concentration from 0.0088 to 2.0 mg/ml, using additional microsomes not containing cytochrome P450, resulted in a marked increase in IC(50) and K(I) values for fluoxetine, ezlopitant, and imipramine, when inhibition constants were calculated using the nominal concentration of inhibitor added to the incubation mixture. The extent of nonspecific binding of these inhibitors to microsomes was determined using equilibrium dialysis. The extent of binding increased with increasing microsomal concentration. Binding was greatest for ezlopitant, followed by fluoxetine, imipramine, and quinidine. Correcting inhibition constants for the extent of nonspecific binding resulted in greater consistency of these values with differing microsomal protein concentrations. This effect was also studied with added phospholipid. Inhibition constants increased with increasing phospholipid, and nonspecific binding was also observed for these four drugs to phospholipid. This suggests that the phospholipid component of microsomes possesses some or all of the responsibility for nonspecific binding, and its effect on inhibitors of drug-metabolizing enzymes. These findings suggest that inhibition constants for drugs as inhibitors of microsomal drug-metabolizing enzymes, such as cytochrome P450, should be corrected for the extent of nonspecific binding to components of the in vitro matrix. The implications of this on the prediction of drug-drug interactions from in vitro data are discussed.

Benzylamines↗
PubMed2003

The conduct of in vitro and in vivo drug-drug interaction studies: a Pharmaceutical Research and Manufacturers of America (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 (P450) probe substrates, inhibitors and inducers and for the development of classification systems to improve the communication of risk to health care providers and to patients. While existing guidances cover mainly P450-mediated drug interactions, the importance of other mechanisms, such as transporters, has been recognized more recently, and should also be addressed. This article 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.

Cytochrome P-450 Enzyme System↗
PubMed2003

Drug-drug interactions: an important negative attribute in drugs.

Drug-drug interactions that arise by the alteration of the pharmacokinetics of one drug by another are of concern to the pharmaceutical industry, drug regulatory agencies, health-care professionals and patients. However, distinction needs to be made between interactions that only result in alterations in exposure levels and interactions that truly have an impact on efficacy and patient safety. To make this distinction, both the magnitude of the pharmacokinetic interaction and the therapeutic index of the affected drug must be taken into account. In this review, a description of the mechanistic underpinnings of drug interactions that has been developed over the past two decades is presented, with particular emphasis on drug-metabolizing enzymes and clearance concepts. The research approaches used to study drug interactions in vitro and in vivo are described. Finally, an accounting of major pharmacokinetic drug-drug interactions is made, organized by the drug-metabolizing enzyme or transporter protein affected. For each drug-metabolizing enzyme and transporter discussed, a position is offered on the severity of the issue of whether a new drug were to affect, or be affected by, a drug interaction through alteration of the activity of that enzyme.

Animals↗
PubMed2003

Reaction phenotyping in drug discovery: moving forward with confidence?

For the pharmaceutical industry, one of the challenges in evaluating the risk of future compound attrition at the discovery stage is the successful prediction of the major routes of clearance in humans. For compounds cleared by metabolism, such information will help to avoid the development of compounds that will exhibit large interpatient differences in pharmacokinetics via 1). routes of metabolism catalyzed by functionally polymorphic enzymes and/or 2). clinically significant metabolic drug-drug interactions, in the later stages of development. The degree of intersubject variability that is acceptable for a drug candidate is uncertain in the discovery stage where knowledge of other important factors is limited or unavailable (i.e. therapeutic index, pharmacodynamic variability, etc). Reaction phenotyping is the semi-quantitative in vitro estimation of the relative contributions of specific drug-metabolizing enzymes to the metabolism of a test compound. However, reaction phenotyping in the discovery stage of drug development is complicated by the absence of radiolabelled parent compound or metabolite bioanalytical standards relative to later stages of development. In this commentary, some of the approaches, based on published data, which can be taken to overcome these challenges are discussed. In addition, knowledge of the molecular structure (i.e. specific chemical substituents), physicochemical properties, and routes of clearance in animals can all help in making a successful prediction for the routes of clearance in humans. In combination, the objective of these studies should be to reduce to a minimum the risk of finding significant inter-patient differences in pharmacokinetics at a later stage in development due to significant metabolism by polymorphic enzymes or drug-drug interactions. Consequently, this data should be used to avoid costly late stage attrition.

Cytochrome P-450 Enzyme System↗
PubMed2003

Drug metabolism and drug interactions: application and clinical value of in vitro models.

In vitro models of drug metabolism are being increasingly applied in the drug discovery and development process as tools for predicting human pharmacokinetics and for the prediction of drug-drug interaction risks associated with new chemical entities. The use of in vitro predictive approaches offers several advantages including minimization of compound attrition during development, with associated cost and time savings, as well as minimization of human risk due to the rational design of clinical drug-drug interaction studies. This article reviews the principles underlying the various mathematical models used to scale in vitro drug metabolism data to predict in vivo clearance and the magnitude of drug-drug interactions resulting from reversible as well as mechanism-based metabolic inhibition. Examples illustrating the predictive utility of specific in vitro approaches are critically reviewed. Commonly encountered uncertainties and sources of bias and error in the in vitro determination of intrinsic clearance and metabolic inhibitory potency, including nonspecific microsomal binding, solvent effects on enzyme activities, and uncertainties in estimating enzyme-available inhibitor concentrations are reviewed. In addition, the impact and clinical relevance of complexities such as dosing route-dependent effects, atypical multi-site kinetics of drug-metabolizing enzymes, non-cytochrome P450 determinants of metabolic clearance, and concurrent inhibition and induction, on the applicability and predictive accuracy of current in vitro models are discussed.

Algorithms↗
PubMed2002

Prediction of volume of distribution values in humans for neutral and basic drugs using physicochemical measurements and plasma protein binding data.

We present a method for the prediction of volume of distribution in humans, for neutral and basic compounds. It is based on two experimentally determined physicochemical parameters, ElogD(7.4) and f(i(7.4)), the latter being the fraction of compound ionized at pH 7.4 and on the fraction of free drug in plasma (f(u)). The fraction unbound in tissues (f(ut)), determined via a regression analysis from 64 compounds using the parameters described, is then used to predict VD(ss) via the Oie-Tozer equation. Accuracy of this method was determined using a test set of 14 compounds, and it was demonstrated that human VD(ss) values could be predicted, on average, within or very close to 2-fold of the actual value. The present method is as accurate as reported methods based on animal pharmacokinetic data, using a similar set of compounds, and ranges between 1.62 and 2.20 as mean-fold error. This method has the advantage of being amenable to automation, and therefore fast throughput, it is compound and resources sparing, and it offers a rationale for the reduction of the use of animals in pharmacokinetic studies. A discussion of the potential errors that may be encountered, including errors in the determination of f(u), is offered, and the caveats about the use of computed vs experimentally determined logD and pK(a) values are addressed.

Blood Proteins↗
PubMed2002

Microsomal protein concentration modifies the apparent inhibitory potency of CYP3A inhibitors.

The effect of microsomal protein concentration on the inhibitory potency of a series of CYP3A inhibitors was assessed in vitro using diazepam 3-hydroxylation (yielding temazepam) as an index of CYP3A activity. With diazepam concentrations fixed at 100 micro M, inhibition of temazepam formation by fixed concentrations of ritonavir, ketoconazole, itraconazole, OH-itraconazole, norfluoxetine, and fluvoxamine decreased substantially as active protein concentrations increased from 0.0625 to 3.0 mg/ml. However protein concentration had only a small effect on the inhibitory activity of fluconazole. Equilibrium dialysis indicated extensive microsomal binding of all inhibitors except fluconazole; binding increased with higher protein concentrations. Based on the CYP3A content of liver microsomes, decrements in inhibitory potency of stronger inhibitors (ketoconazole and ritonavir) could be explained by specific binding, whereas nonspecific binding is anticipated to account for the effect on weaker inhibitors (norfluoxetine and fluvoxamine). Thus, microsomal binding (specific, nonspecific, or a combination of both) may have a major effect on estimation of inhibitory potency of p450 inhibitors and may contribute to variations among laboratories. The effect can be minimized by use of the lowest possible microsomal protein concentration for in vitro studies of metabolic inhibition.

Aryl Hydrocarbon Hydroxylases↗