Literature DB >> 15784650

CYP3A4 substrate selection and substitution in the prediction of potential drug-drug interactions.

Aleksandra Galetin1, Kiyomi Ito, David Hallifax, J Brian Houston.   

Abstract

The complexity of in vitro kinetic phenomena observed for CYP3A4 substrates (homo- or heterotropic cooperativity) confounds the prediction of drug-drug interactions, and an evaluation of alternative and/or pragmatic approaches and substrates is needed. The current study focused on the utility of the three most commonly used CYP3A4 in vitro probes for the prediction of 26 reported in vivo interactions with azole inhibitors (increase in area under the curve ranged from 1.2 to 24, 50% in the range of potent inhibition). In addition to midazolam, testosterone, and nifedipine, quinidine was explored as a more "pragmatic" substrate due to its kinetic properties and specificity toward CYP3A4 in comparison with CYP3A5. Ki estimates obtained in human liver microsomes under standardized in vitro conditions for each of the four probes were used to determine the validity of substrate substitution in CYP3A4 drug-drug interaction prediction. Detailed inhibitor-related (microsomal binding, depletion over incubation time) and substrate-related factors (cooperativity, contribution of other metabolic pathways, or renal excretion) were incorporated in the assessment of the interaction potential. All four CYP3A4 probes predicted 69 to 81% of the interactions with azoles within 2-fold of the mean in vivo value. Comparison of simple and multisite mechanistic models and interaction prediction accuracy for each of the in vitro probes indicated that midazolam and quinidine in vitro data provided the best assessment of a potential interaction, with the lowest bias and the highest precision of the prediction. Further investigations with a wider range of inhibitors are required to substantiate these findings.

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Year:  2005        PMID: 15784650     DOI: 10.1124/jpet.104.082826

Source DB:  PubMed          Journal:  J Pharmacol Exp Ther        ISSN: 0022-3565            Impact factor:   4.030


  36 in total

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2.  Assessment of algorithms for predicting drug-drug interactions via inhibition mechanisms: comparison of dynamic and static models.

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4.  Prediction of in vivo drug-drug interactions from in vitro data: impact of incorporating parallel pathways of drug elimination and inhibitor absorption rate constant.

Authors:  Hayley S Brown; Kiyomi Ito; Aleksandra Galetin; J Brian Houston
Journal:  Br J Clin Pharmacol       Date:  2005-11       Impact factor: 4.335

5.  Effect of maraviroc on the pharmacokinetics of midazolam, lamivudine/zidovudine, and ethinyloestradiol/levonorgestrel in healthy volunteers.

Authors:  Samantha Abel; Deborah Russell; Lyndsey A Whitlock; Caroline E Ridgway; Gary J Muirhead
Journal:  Br J Clin Pharmacol       Date:  2008-04       Impact factor: 4.335

6.  Application of CYP3A4 in vitro data to predict clinical drug-drug interactions; predictions of compounds as objects of interaction.

Authors:  Kuresh A Youdim; Aref Zayed; Maurice Dickins; Alex Phipps; Michelle Griffiths; Amanda Darekar; Ruth Hyland; Odette Fahmi; Susan Hurst; David R Plowchalk; Jack Cook; Feng Guo; R Scott Obach
Journal:  Br J Clin Pharmacol       Date:  2008-02-14       Impact factor: 4.335

7.  A semiphysiological population pharmacokinetic model for dynamic inhibition of liver and gut wall cytochrome P450 3A by voriconazole.

Authors:  Sebastian Frechen; Lisa Junge; Teijo I Saari; Ahmed Abbas Suleiman; Dennis Rokitta; Pertti J Neuvonen; Klaus T Olkkola; Uwe Fuhr
Journal:  Clin Pharmacokinet       Date:  2013-09       Impact factor: 6.447

8.  Inhibition of oral midazolam clearance by boosting doses of ritonavir, and by 4,4-dimethyl-benziso-(2H)-selenazine (ALT-2074), an experimental catalytic mimic of glutathione oxidase.

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Journal:  Br J Clin Pharmacol       Date:  2009-12       Impact factor: 4.335

9.  Contribution of itraconazole metabolites to inhibition of CYP3A4 in vivo.

Authors:  I E Templeton; K E Thummel; E D Kharasch; K L Kunze; C Hoffer; W L Nelson; N Isoherranen
Journal:  Clin Pharmacol Ther       Date:  2007-05-09       Impact factor: 6.875

Review 10.  Mechanisms underlying food-drug interactions: inhibition of intestinal metabolism and transport.

Authors:  Christina S Won; Nicholas H Oberlies; Mary F Paine
Journal:  Pharmacol Ther       Date:  2012-08-04       Impact factor: 12.310

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