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The conduct of in vitro studies to address time-dependent inhibition of drug-metabolizing enzymes: A perspective of the pharmaceutical research and manufacturers of America
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A useful review of in vitro-to-in vivo prediction of irreversible inhibition
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Grimm SW, Einolf HJ, Hall SD, et al. The conduct of in vitro studies to address time-dependent inhibition of drug-metabolizing enzymes: A perspective of the pharmaceutical research and manufacturers of America. Drug Metab Dispos 2009;37(7):1355-70 A useful review of in vitro-to-in vivo prediction of irreversible inhibition.
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Obach RS, Walsky RL, Venkatakrishnan K. Mechanism-based inactivation of human cytochrome p450 enzymes and the prediction of drug-drug interactions. Drug Metab Dispos 2007;35(2):246-55
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He M, Kunze KL, Trager WF. Inhibition of (S)-warfarin metabolism by sulfinpyrazone and its metabolites. Drug Metab Dispos 1995;23(6):659-63
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Isoherranen N, Kunze KL, Allen KE, et al. Role of itraconazole metabolites in CYP3A4 inhibition. Drug Metab Dispos 2004;32(10):1121-31
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Greenblatt DJ, Von Moltke LL, Schmider J, et al. Inhibition of human cytochrome P450-3A isoforms by fluoxetine and norfluoxetine: In vitro and in vivo studies. J Clin Pharmacol 1996;36(9):792-8
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Greenblatt, D.J.1
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7
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A pharmacokinetic study comparing single and repeated oral doses of 20 mg and 40 mg omeprazole and its two optical isomers, S-omeprazole (esomeprazole) and R-omeprazole, in healthy subjects
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Hassan-Alin M, Andersson T, Niazi M, Rohss K. A pharmacokinetic study comparing single and repeated oral doses of 20 mg and 40 mg omeprazole and its two optical isomers, S-omeprazole (esomeprazole) and R-omeprazole, in healthy subjects. Eur J Clin Pharmacol 2005;60(11):779-84
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Comparison of inhibitory effects of the proton pump-inhibiting drugs omeprazole, esomeprazole, lansoprazole, pantoprazole, and rabeprazole on human cytochrome P450 activities
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Li XQ, Andersson TB, Ahlstrom M, Weidolf L. Comparison of inhibitory effects of the proton pump-inhibiting drugs omeprazole, esomeprazole, lansoprazole, pantoprazole, and rabeprazole on human cytochrome P450 activities. Drug Metab Dispos 2004;32(8):821-7
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Fichtenbaum CJ, Gerber JG. Interactions between antiretroviral drugs and drugs used for the therapy of the metabolic complications encountered during HIV infection. Clin Pharmacokinet 2002;41(14):1195-211
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Effects of gemfibrozil, itraconazole, and their combination on the pharmacokinetics and pharmacodynamics of repaglinide: Potentially hazardous interaction between gemfibrozil and repaglinide
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A clinical study highlighting the risk of multiple simultaneously administered inhibitors
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Niemi M, Backman JT, Neuvonen M, Neuvonen PJ. Effects of gemfibrozil, itraconazole, and their combination on the pharmacokinetics and pharmacodynamics of repaglinide: Potentially hazardous interaction between gemfibrozil and repaglinide. Diabetologia 2003;46(3):347-51 A clinical study highlighting the risk of multiple simultaneously administered inhibitors.
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Niemi, M.1
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11
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An in vitro mechanistic study to elucidate the desipramine/bupropion clinical drug-drug interaction
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Good example of a multiple inhibitor system where the metabolites play the most important role to inhibition
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Reese MJ, Wurm RM, Muir KT, et al. An in vitro mechanistic study to elucidate the desipramine/bupropion clinical drug-drug interaction. Drug Metab Dispos 2008;36(7):1198-201 Good example of a multiple inhibitor system where the metabolites play the most important role to inhibition.
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Drug Metab Dispos
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Reese, M.J.1
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Templeton I, Peng CC, Thummel KE, et al. Accurate prediction of dose-dependent CYP3A4 inhibition by itraconazole and its metabolites from in vitro inhibition data. Clin Pharmacol Ther 2010;88(4):499-505
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Templeton, I.1
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13
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Are circulating metabolites important in drug-drug interactions? Quantitative analysis of risk prediction and inhibitory potency
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Important review and prediction of circulating inhibitory metabolites
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Yeung CK, Fujioka Y, Hachad H, et al. Are circulating metabolites important in drug-drug interactions? Quantitative analysis of risk prediction and inhibitory potency. Clin Pharmacol Ther 2010;89(1):105-13 . Important review and prediction of circulating inhibitory metabolites.
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Yeung, C.K.1
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Study of a complex multiple inhibitor system with both reversible and irreversible inhibition as well as transport aspects
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Hinton L, Galetin A, Houston J. Multiple inhibition mechanisms and prediction of drug-drug interactions: Status of metabolism and transporter models as exemplified by gemfibrozil-drug interactions. Pharm Res 2008;25(5):1063-74 Study of a complex multiple inhibitor system with both reversible and irreversible inhibition as well as transport aspects.
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Ohyama K, Nakajima M, Suzuki M, et al. Inhibitory effects of amiodarone and its N-deethylated metabolite on human cytochrome P450 activities: Prediction of in vivo drug interactions. Br J Clin Pharmacol 2000;49(3):244-53
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Ohyama, K.1
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16
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Prediction of the effect of erythromycin, diltiazem, and their metabolites, alone and in combination, on CYP3A4 inhibition
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Good study of different models to predict simultaneous reversible and irreversible inhibition
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Zhang X, Jones DR, Hall SD. Prediction of the effect of erythromycin, diltiazem, and their metabolites, alone and in combination, on CYP3A4 inhibition. Drug Metab Dispos 2009;37(1):150-60 Good study of different models to predict simultaneous reversible and irreversible inhibition.
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Zhang, X.1
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Prediction of cytochrome P450 3A inhibition by verapamil enantiomers and their metabolites
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Wang YH, Jones DR, Hall SD. Prediction of cytochrome P450 3A inhibition by verapamil enantiomers and their metabolites. Drug Metab Dispos 2004;32(2):259-66
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Wang, Y.H.1
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Hall, S.D.3
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18
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Physiologically based mechanistic modelling to predict complex drug-drug interactions involving simultaneous competitive and time-dependent enzyme inhibition by parent compound and its metabolite in both liver and gut - The effect of diltiazem on the time-course of exposure to triazolam
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Rowland Yeo K, Jamei M, Yang J, et al. Physiologically based mechanistic modelling to predict complex drug-drug interactions involving simultaneous competitive and time-dependent enzyme inhibition by parent compound and its metabolite in both liver and gut - the effect of diltiazem on the time-course of exposure to triazolam. Eur J Pharm Sci 2010;39(5):298-309
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Venkatakrishnan K, von Moltke LL, Obach RS, Greenblatt DJ. Drug metabolism and drug interactions: Application and clinical value of in vitro models. Curr Drug Metab 2003;4(5):423-59
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21
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Initial proposal of the product rule for predicting multiple inhibitors with different reversible inhibition mechanisms
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Rostami-Hodjegan A, Tucker G. 'In silico' simulations to assess the 'in vivo' consequences of 'in vitro' metabolic drug-drug interactions. Drug Discov Today 2004;1(4):441-8 . Initial proposal of the product rule for predicting multiple inhibitors with different reversible inhibition mechanisms.
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Drug Discov Today
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Rostami-Hodjegan, A.1
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Evidence of significant contribution from CYP3A5 to hepatic drug metabolism
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Huang W, Lin YS, McConn DJ, et al. Evidence of significant contribution from CYP3A5 to hepatic drug metabolism. Drug Metab Dispos 2004;32(12):1434-45
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Huang, W.1
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Kumar V, Wahlstrom JL, Rock DA, et al. CYP2C9 inhibition: Impact of probe selection and pharmacogenetics on in vitro inhibition profiles. Drug Metab Dispos 2006;34(12):1966-75
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Kumar, V.1
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Galetin A, Clarke SE, Houston JB. Multisite kinetic analysis of interactions between prototypical CYP3A4 subgroup substrates: Midazolam, testosterone, and nifedipine. Drug Metab Dispos 2003;31(9):1108-16
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Galetin, A.1
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Takahashi H, Kashima T, Kimura S, et al. Pharmacokinetic interaction between warfarin and a uricosuric agent, bucolome: Application of in vitro approaches to predicting in vivo reduction of (S)-warfarin clearance. Drug Metab Dispos 1999;27(10):1179-86
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Takahashi, H.1
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Ito K, Hallifax D, Obach RS, Houston JB. Impact of parallel pathways of drug elimination and multiple cytochrome P450 involvement on drug-drug interactions: CYP2D6 paradigm. Drug Metab Dispos 2005;33:837-44
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Ito, K.1
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28
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Prediction of in vivo drug-drug interactions from in vitro data: Impact of incorporating parallel pathways of drug elimination and inhibitor absorption rate constant
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Good study of the effects of incorporating parallel metabolic pathways and bioavailability into DDI prediction models
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Brown HS, Ito K, Galetin A, Houston JB. Prediction of in vivo drug-drug interactions from in vitro data: Impact of incorporating parallel pathways of drug elimination and inhibitor absorption rate constant. Br J Clin Pharmacol 2005;60(5):508-18 Good study of the effects of incorporating parallel metabolic pathways and bioavailability into DDI prediction models.
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Br J Clin Pharmacol
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Brown, H.S.1
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Rane A, Wilkinson GR, Shand DG. Prediction of hepatic extraction ratio from in vitro measurement of intrinsic clearance. J Pharmacol Exp Ther 1977;200(2):420-4
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Excellent reference on in vitro-to-in vivo prediction of DDIs
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Obach RS. Predicting drug-drug interactions from in vitro drug metabolism data: Challenges and recent advances. Curr Opin Drug Discov Devel 2009;12(1):81-9 . Excellent reference on in vitro-to-in vivo prediction of DDIs.
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Shu Y, Wang L-S, Xu Z-H, et al. 5-hydroxylation of omeprazole by human liver microsomal fractions from Chinese populations related to CYP2C19 gene dose and individual ethnicity. J Pharmacol Exp Ther 2000;295(2):844-51
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Mendes P. Biochemistry by numbers: Simulation of biochemical pathways with Gepasi 3. Trends Biochem Sci 1997;22(9):361-3
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36
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0027442014
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Interaction of the enantiomers of fluoxetine and norfluoxetine with human liver cytochromes P450
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Demonstration of significant stereoselectivity in P450 inhibition
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Stevens JC, Wrighton SA. Interaction of the enantiomers of fluoxetine and norfluoxetine with human liver cytochromes P450. J Pharmacol Exp Ther 1993;266(2):964-71 Demonstration of significant stereoselectivity in P450 inhibition.
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Bergstrom RF, Peyton AL, Lemberger L. Quantification and mechanism of the fluoxetine and tricyclic antidepressant interaction. Clin Pharmacol Ther 1992;51(3):239-48
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Obach RS, Walsky RL, Venkatakrishnan K, et al. In vitro cytochrome P450 inhibition data and the prediction of drug-drug interactions: Qualitative relationships, quantitative predictions, and the rank-order approach. Clin Pharmacol Ther 2005;78(6):582-92
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Obach, R.S.1
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Quantitative prediction of in vivo drug-drug interactions from in vitro data based on physiological pharmacokinetics: Use of maximum unbound concentration of inhibitor at the inlet to the liver
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Kanamitsu S, Ito K, Sugiyama Y. Quantitative prediction of in vivo drug-drug interactions from in vitro data based on physiological pharmacokinetics: Use of maximum unbound concentration of inhibitor at the inlet to the liver. Pharm Res 2000;17(3):336-43
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41
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0037403747
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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
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An interesting study of the use of in vitro fraction unbound values in DDI prediction
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Margolis JM, Obach RS. 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. Drug Metab Dispos 2003;31(5):606-11 An interesting study of the use of in vitro fraction unbound values in DDI prediction.
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Drug Metab Dispos
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Margolis, J.M.1
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Chien JY, Lucksiri A, Ernest CS II, et al. Stochastic prediction of CYP3A-mediated inhibition of midazolam clearance by ketoconazole. Drug Metab Dispos 2006;34(7):1208-19
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Chien, J.Y.1
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43
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78650016675
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Assessment of algorithms for predicting drug-drug interactions via inhibition mechanisms: Comparison of dynamic and static models
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An interesting study comparing the predictive ability of static versus PBPK models
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Guest EJ, Rowland-Yeo K, Rostami-Hodjegan A, et al. Assessment of algorithms for predicting drug-drug interactions via inhibition mechanisms: Comparison of dynamic and static models. Br J Clin Pharmacol 2011;71(1):72-87 An interesting study comparing the predictive ability of static versus PBPK models.
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Guest, E.J.1
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Kunze KL, Eddy AC, Gibaldi M, Trager WF. Metabolic enantiomeric interactions: The inhibition of human (S)-warfarin-7-hydroxylase by (R)- warfarin. Chirality 1991;3(1):24-9
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Yamazaki H, Shimada T. Human liver cytochrome P450 enzymes involved in the 7-hydroxylation of R- and S-warfarin enantiomers. Biochem Pharmacol 1997;54(11):1195-203
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