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Drug Metabolism and Disposition Fast Forward
First published on April 14, 2008; DOI: 10.1124/dmd.108.020834

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Received for publication February 8, 2008.
Revised March 27, 2008.
Accepted for publication April 9, 2008.

Hepatocellular binding of drugs: correction for unbound fraction in hepatocyte incubations using microsomal binding or drug lipophilicity data

Peter J. Kilford 1, Michael Gertz 1, J. Brian Houston 1, Aleksandra Galetin 1*

1 University of Manchester

* Address correspondence to: E-mail: aleksandra.galetin{at}manchester.ac.uk

Abstract

Analogous to the fraction unbound in microsomes (fumic), fraction unbound in hepatocyte incubations (fuhep) is an important parameter in the prediction of intrinsic clearance and potential drug-drug interactions. A recent study by Austin et al. (Drug Metab Dispos 2005, 33:419-425) proposed a linear 1:1 relationship between the extent of binding to microsomes at 1 mg/mL and to hepatocytes at 106 million cells/mL. The current study collates a fumic and fuhep database for 39 drugs to examine the relationship between binding in microsomes and hepatocytes. A new nonlinear empirical equation is proposed as an alternative to the linear relationship to relate binding between the two systems. The nonlinear equation results in higher prediction accuracy and lower bias in comparison to the linear relationship, in particular for drugs with fuhep<0.4. The proposed equation is further extended to allow direct prediction of fuhep from drug lipophilicity data by substituting the fumic term by the Hallifax and Houston predictive equation (Drug Metab Dispos 2006, 34:724-726). The prediction accuracy of this approach is high for relatively hydrophilic drugs (logP/D ≤2.5), whereas less accurate prediction of the fuhep is observed for lipophilic drugs (logP>3), consistent with the limitations observed for microsomal binding predictive tools. In conclusion, the proposed nonlinear equations provide an accurate predictive tool to estimate fuhep for the in vitro-in vivo extrapolation of intrinsic clearance and inhibition parameters.


Key words: hepatocytes, in vitro-in vivo prediction, microsomes, protein binding





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