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Drug Metabolism and Disposition Fast Forward
First published on June 10, 2005; DOI: 10.1124/dmd.105.005033


0090-9556/05/3309-1319-1324$20.00
DMD 33:1319-1324, 2005

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DIRECT DETERMINATION OF UNBOUND INTRINSIC DRUG CLEARANCE IN THE MICROSOMAL STABILITY ASSAY

Claudio Giuliano, Mark Jairaj, Christian M. Zafiu, and Ralph Laufer

Department of Pharmacology, Istituto di Ricerche di Biologia Molecolare (IRBM) P. Angeletti, Merck Research Laboratories, Rome, Italy

The microsomal stability assay is commonly used to rank compounds according to their metabolic stability. Determination of the unbound intrinsic clearance (CLin,u) is essential for the accurate comparison of compounds, since nonspecific binding to microsomes can lead to an underestimation of the microsomal clearance. In this study, a new method (linear extrapolation in the stability assay, LESA) was established, which allows direct calculation of CLin,u from microsomal stability data, without the need to independently determine the fraction of free (unbound) drug. The method was validated using nine drugs with different chemical structures and physicochemical properties. The CLin,u of these compounds was extrapolated from the intrinsic clearance values obtained at different concentrations of human liver microsomes and compared with that calculated by the conventional method, using microsomal intrinsic clearance values and the free fraction of drug determined by equilibrium dialysis, ultracentrifugation, or ultrafiltration. A good agreement was observed between the data generated by the LESA method and those determined by conventional procedures. The method was further evaluated using a published dataset for 10 additional drugs and found to yield intrinsic clearance data comparable to the previously reported values. LESA provides a convenient and rapid method to determine the influence of microsome binding on intrinsic clearance in a single assay.


Address correspondence to: Ralph Laufer, Department of Pharmacology, IRBM, MRL Rome, Via Pontina Km 30.600, 00040 Pomezia (RM), Italy. E-mail: Ralph_Laufer{at}Merck.com




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S. S. De Buck, V. K. Sinha, L. A. Fenu, M. J. Nijsen, C. E. Mackie, and R. A. H. J. Gilissen
Prediction of Human Pharmacokinetics Using Physiologically Based Modeling: A Retrospective Analysis of 26 Clinically Tested Drugs
Drug Metab. Dispos., October 1, 2007; 35(10): 1766 - 1780.
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