Abstract
Irreversible CYP3A inhibition by drugs constitutes one of the major causes of inhibition-based drug interactions. We evaluated time-dependent inactivation of CYP3A in cryopreserved human hepatocytes for six structurally diverse compounds known to exhibit this property. Inactivation kinetic parameters were also determined using human liver microsomes. Except for diclofenac, which did not cause CYP3A inactivation either in microsomes or in hepatocytes at concentrations up to 100 μM, time-dependent inactivation was observed in hepatocytes for amprenavir, diltiazem, erythromycin, raloxifene, and troleandomycin. The observed inactivation potency in hepatocytes (observed IC50) was compared with the potency predicted using microsomal parameters (predicted IC50). Despite satisfactory prediction for troleandomycin (1.35 and 2.14 μM for the predicted and observed IC50, respectively), over-prediction of inactivation was observed for raloxifene, amprenavir, and erythromycin (observed IC50 values 6.2-, 55-, and 7.8-fold higher, respectively, than the predicted IC50). By contrast, the observed IC50 for diltiazem in hepatocytes was approximately 4-fold lower than the IC50 predicted from microsomal data (under-prediction). After correcting for factors including nonspecific binding and inactivator consumption, prediction was significantly improved for raloxifene (the observed IC50 then became 2-fold higher than the predicted IC50) and for amprenavir to a lesser extent. A specific P-glycoprotein inhibitor, 4-(6,7-dimethoxy-3,4-dihydroisoquinolin-2(1H)-yl)-N-[2-(3.4-dimethoxyphenyl)ethyl]-6,7-dimethoxyquinazolin-2-amine (CP-100356), modulated the observed CYP3A inactivation potency by erythromycin and troleandomycin. In summary, these studies reveal three important factors that must be considered when microsomal inactivation parameters are used to predict inhibition-based drug interactions in intact cell systems.
Footnotes
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↵1 We have chosen the inhibitory Emax model to estimate the observed inactivation IC50 based on a limited number of observations (four for each inactivator). However, one should note that this is not an appropriate model to quantitatively assess the time-dependent event in hepatoctye incubations.
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This work was partially supported by National Institutes of Health Grant GM32165.
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Article, publication date, and citation information can be found at http://dmd.aspetjournals.org.
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doi:10.1124/dmd.104.002832.
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ABBREVIATIONS: TDI, time-dependent inactivation; HLM, human liver microsome; PGRD, Pfizer Global R&D; CP100356, 4-(6,7-dimethoxy-3,4-dihydroisoquinoline-2(1H)-yl)-N-[2-(3,4-dimethoxyphenyl)ethyl]-6,7-dimethoxyquinazolin-2-amine; IC50, Nominal, the nominal concentration of inactivator to cause 50% inactivation observed in hepatocytes; IC50, Corrected, IC50 corrected for nonspecific binding and time-dependent loss due to metabolism in hepatocytes; IC50, Predicted, predicted inactivator concentration in hepatocytes that produced 50% inactivation of CYP3A activity using microsomal parameters; Iu, free inactivator concentration in hepatocyte incubation medium; [Ī] time-averaged inactivator concentration in the hepatocyte incubation medium; KI, apparent inactivation constant; kinact, maximum inactivation rate constant; λ, apparent inactivation rate constant.
- Received November 2, 2004.
- Accepted February 24, 2005.
- The American Society for Pharmacology and Experimental Therapeutics
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