PURPOSE: To evaluate an interaction between simvastatin and itraconazole in in vitro studies and to attempt a quantitative prediction of in vivo interaction in humans. METHODS: The inhibitory effect of itraconazole on simvastatin metabolism was evaluated using human liver microsomes and the Ki values were calculated for the unbound drug in the reaction mixture. A physiologically-based pharmacokinetic model was used to predict the maximum in vivo drug-drug interaction. RESULTS: Itraconazole competitively inhibited the metabolism of simvastatin to M-1 and M-2 with Ki values in the nM range. The area under the curve (AUC) of simvastatin after concomitant dosing with itraconazole was predicted to increase ca. 84-101-fold compared with that without administration of itraconazole. Taking into consideration the fact that this method predicts the maximum interaction, this agrees well with the clinical observation of a 19-fold increase. A similar prediction, based on the Ki value without taking into account the drug adsorption to microsomes, led to an underevaluation of the interaction. CONCLUSIONS: It was demonstrated that the competitive inhibition of CYP3A4-mediated simvastatin metabolism by itraconazole is the main cause of the drug interaction and that a Ki value corrected for drug adsorption to microsomes is the key factor in quantitatively predicting the maximum in vivo drug interactions.
PURPOSE: To evaluate an interaction between simvastatin and itraconazole in in vitro studies and to attempt a quantitative prediction of in vivo interaction in humans. METHODS: The inhibitory effect of itraconazole on simvastatin metabolism was evaluated using human liver microsomes and the Ki values were calculated for the unbound drug in the reaction mixture. A physiologically-based pharmacokinetic model was used to predict the maximum in vivo drug-drug interaction. RESULTS:Itraconazole competitively inhibited the metabolism of simvastatin to M-1 and M-2 with Ki values in the nM range. The area under the curve (AUC) of simvastatin after concomitant dosing with itraconazole was predicted to increase ca. 84-101-fold compared with that without administration of itraconazole. Taking into consideration the fact that this method predicts the maximum interaction, this agrees well with the clinical observation of a 19-fold increase. A similar prediction, based on the Ki value without taking into account the drug adsorption to microsomes, led to an underevaluation of the interaction. CONCLUSIONS: It was demonstrated that the competitive inhibition of CYP3A4-mediated simvastatin metabolism by itraconazole is the main cause of the drug interaction and that a Ki value corrected for drug adsorption to microsomes is the key factor in quantitatively predicting the maximum in vivo drug interactions.
Authors: T Prueksaritanont; L M Gorham; B Ma; L Liu; X Yu; J J Zhao; D E Slaughter; B H Arison; K P Vyas Journal: Drug Metab Dispos Date: 1997-10 Impact factor: 3.922
Authors: S Muramatsu; K Miyaguchi; H Iwabuchi; Y Matsushita; T Nakamura; T Kinoshita; M Tanaka; H Takahagi Journal: Xenobiotica Date: 1992-05 Impact factor: 1.908
Authors: R A Halpin; E H Ulm; A E Till; P H Kari; K P Vyas; D B Hunninghake; D E Duggan Journal: Drug Metab Dispos Date: 1993 Nov-Dec Impact factor: 3.922
Authors: Yuan Chen; Fang Ma; Tong Lu; Nageshwar Budha; Jin Yan Jin; Jane R Kenny; Harvey Wong; Cornelis E C A Hop; Jialin Mao Journal: Clin Pharmacokinet Date: 2016-06 Impact factor: 6.447
Authors: Michaela Vossen; Michael Sevestre; Christoph Niederalt; In-Jin Jang; Stefan Willmann; Andrea N Edginton Journal: Theor Biol Med Model Date: 2007-03-26 Impact factor: 2.432