2008
DOI: 10.1007/s11095-008-9607-2
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The Quantitative Prediction of CYP-mediated Drug Interaction by Physiologically Based Pharmacokinetic Modeling

Abstract: A discrepancy between the in vivo and in vitro Ki values was observed. The prediction using in vivo Ki values and the PBPK model was more accurate than the conventional methods.

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Cited by 104 publications
(90 citation statements)
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“…Among clinically reported drug-drug interactions, most of severe cases, which cause more than a 5-fold increase in the AUC, occur by coadministration of mechanism-based inhibitors or azole antifungals, which irreversibly inhibit metabolic enzymes (Kato et al, 2008). Because CsA inhibits the hepatic uptake transporter sustainably, it may cause a severe drug-drug interaction in a clinical situation.…”
Section: Discussionmentioning
confidence: 99%
“…Among clinically reported drug-drug interactions, most of severe cases, which cause more than a 5-fold increase in the AUC, occur by coadministration of mechanism-based inhibitors or azole antifungals, which irreversibly inhibit metabolic enzymes (Kato et al, 2008). Because CsA inhibits the hepatic uptake transporter sustainably, it may cause a severe drug-drug interaction in a clinical situation.…”
Section: Discussionmentioning
confidence: 99%
“…Pharmacokinetic interactions involving cytochrome P450 enzymes have been thoroughly investigated and during the last years an increasing focus has been put on mechanism-based inhibition (Kato et al, 2008). Until now, transport prediction models have generally been based on the assumption of reversible competitive inhibition (Hinton et al, 2008).…”
Section: Cyclosporine a But Not Tacrolimus Inhibits Oatp1b1mentioning
confidence: 99%
“…Although PBPK models have been used for the quantitative prediction of the degree of drug-drug interaction involving metabolic enzymes (Kanamitsu et al, 2000;Ito et al, 2003;Kato et al, 2008;Zhang et al, 2009;Rowland-Yeo et al, 2010;Zhao et al, 2012) and also for describing the disposition of a drug transporter substrate pravastatin (Watanabe et al, 2009), only "static" approaches have been used for the interactions at drug transporters (Hinton et al, 2008;Yoshida et al, 2012), with no reports on the application of PBPK modeling to the best of our knowledge. In the present study, we investigated whether the increase in repaglinide AUC by ICZ and GEM can be quantitatively explained based on the clearance concept and a PBPK model incorporating the inhibition of both the hepatic uptake transporter and metabolic enzymes.…”
Section: Introductionmentioning
confidence: 99%