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Drug Metabolism and Disposition Fast Forward
First published on August 4, 2005; DOI: 10.1124/dmd.105.005884


0090-9556/05/3311-1700-1707$20.00
DMD 33:1700-1707, 2005

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PREDICTION OF CYP2C9-MEDIATED DRUG-DRUG INTERACTIONS: A COMPARISON USING DATA FROM RECOMBINANT ENZYMES AND HUMAN HEPATOCYTES

Dermot F. McGinnity, James Tucker, Steve Trigg, and Robert J. Riley

Department of Physical & Metabolic Science, AstraZeneca R&D Charnwood, Bakewell Rd., Loughborough, Leicestershire, United Kingdom

The IC50 values of 14 drugs were determined in recombinantly expressed CYP2C9 (rCYP2C9) and human hepatocytes and the data used to simulate clinical area under the plasma concentration-time curve (AUC) changes upon coadministration with prototypic CYP2C9 substrates. There was an excellent correlation between IC50, apparent values determined using diclofenac and naproxen as CYP2C9 substrates (r2 = 0.82, p < 0.0001), with values being generally higher in the naproxen assay. After correcting for nonspecific binding, the IC50, unbound values were similar between the assays, for the majority of compounds. Two compounds, amiodarone and benzbromarone, demonstrated substrate-specific differences, activating naproxen O-demethylase to ~250% of control activity at 1 mM and 1 µM, respectively, while inhibiting diclofenac 4'-hydroxylation with IC50, apparent values of 3 µM and 0.04 µM, respectively. CYP2C9 IC50, apparent values generated in human hepatocytes were systematically higher than those determined with rCYP2C9. After correcting for nonspecific binding, there was an excellent correlation of IC50, unbound values generated in the different milieu (r2 = 0.88, p < 0.0001). The ratio of inhibitor concentration at the entrance to the liver to the inhibition constant ([I]in/Ki) was used to simulate clinical {delta}AUC changes and compared with that observed in vivo. Where [I]in, total/Ki, apparent was used, there were zero false negatives (observed {delta}AUC ≥2, predicted {delta}AUC <2), eight correct assignations, and seven false positives (observed {delta}AUC ≤2, predicted {delta}AUC >2. Where [I]in, unbound/Ki, unbound was used, there was one false negative, 14 correct assignations, and zero false positives. In summary, the data presented here suggest that for CYP2C9 interactions, the use of total liver inhibitor concentrations may indeed avoid false negatives, but more realistic predictions may be achieved using unbound liver inhibitor concentrations and unbound in vitro inhibition parameters.


Address correspondence to: Dr. Dermot McGinnity, Department of Physical & Metabolic Science, AstraZeneca R&D Charnwood, Bakewell Road, Loughborough, Leicestershire, LE11 5RH, UK. E-mail: dermot.f.mcginnity{at}astrazeneca.com




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