2007
DOI: 10.1124/dmd.106.011346
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A Novel Model for the Prediction of Drug-Drug Interactions in Humans Based on in Vitro Cytochrome P450 Phenotypic Data

Abstract: ABSTRACT:Ketoconazole has generally been used as a standard inhibitor for studying clinical pharmacokinetic drug-drug interactions (DDIs) of drugs that are primarily metabolized by CYP3A4/5. However, ketoconazole at therapeutic, high concentrations also inhibits cytochromes P450 (P450) other than CYP3A4/5, which has made the predictions of DDIs less accurate. Determining the in vivo inhibitor concentration at the enzymatic site is critical for predicting the clinical DDI, but it remains a technical challenge. … Show more

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Cited by 66 publications
(76 citation statements)
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“…A recent advancement is to use intact hepatocytes suspended in whole human plasma for inhibition studies to allow correction for plasma protein binding (Lu et al, 2007). As drugs in vivo are always in contact with 100% human blood, this is conceptually sound and therefore deserve further investigation on its general applicability.…”
Section: Humanmentioning
confidence: 99%
“…A recent advancement is to use intact hepatocytes suspended in whole human plasma for inhibition studies to allow correction for plasma protein binding (Lu et al, 2007). As drugs in vivo are always in contact with 100% human blood, this is conceptually sound and therefore deserve further investigation on its general applicability.…”
Section: Humanmentioning
confidence: 99%
“…Among different mechanisms, TDI by MA appears to be the major contributor, which is further supported by results from hepatocyte experiments. Hepatocyte is a more integrated system than liver microsomes and has been used to predict metabolic clearance and drug interactions in vivo in pharmaceutical industries (McGinnity et al, 2006;Lu et al, 2006Lu et al, , 2007. Given its unique position along the hierarchy between liver microsomes and in vivo, hepatocytes can be used to test the predictability of parameters obtained using liver microsomes.…”
Section: Discussionmentioning
confidence: 99%
“…Simulations based on Eq. 2 indicate clearly that the change in AUC (AUC po(I) /AUC po(C) ratio) is sensitive to the product of f m and f m,CYP (i.e., f m Á f m;CYP ) (44)(45)(46). Although not obvious, it is worth noting that changes in AUC are also sensitive to the CL int in the absence of the inhibitor.…”
Section: Use Of Cyp Inhibition Data: Ranking Extrapolation and Ddi Pmentioning
confidence: 99%