A UNIFIED MODEL FOR PREDICTING HUMAN HEPATIC, METABOLIC CLEARANCE FROM IN VITRO INTRINSIC CLEARANCE DATA IN HEPATOCYTES AND MICROSOMES

• Published in: Drug metabolism and disposition Vol. 33; no. 9; pp. 1304 - 1311
• Main Authors: RILEY, Robert J, MCGINNITY, D. F, AUSTIN, R. P
• Format: Journal Article
• Language: English
• Published: Bethesda, MD American Society for Pharmacology and Experimental Therapeutics 01.09.2005
• Subjects: Animals; Biological and medical sciences; Cattle; Cells, Cultured; Culture Media, Conditioned; Culture Media, Serum-Free; Hepatocytes - metabolism; Humans; Liver - metabolism; Medical sciences; Metabolic Clearance Rate; Microsomes - metabolism; Models, Biological; Pharmaceutical Preparations - blood; Pharmacokinetics; Pharmacology. Drug treatments; Human; Hepatocyte; Digestive system; Liver; Prediction; Models; Clearance; Pharmacokinetics; Microsome; Metabolism; In vitro
• ISSN: 0090-9556; 1521-009X
• DOI: 10.1124/dmd.105.004259

The aim of this study was to evaluate a unified method for predicting human in vivo intrinsic clearance (CL int, in vivo ) and hepatic clearance (CL h ) from in vitro data in hepatocytes and microsomes by applying the unbound fraction in blood (fu b ) and in vitro incubations (fu inc ). Human CL int, in vivo was projected using in vitro data together with biological scaling factors and compared with the unbound intrinsic clearance (CL int, ub, in vivo ) estimated from clinical data using liver models with and without the various fu terms. For incubations conducted with fetal calf serum ( n = 14), the observed CL int, in vivo was modeled well assuming fu inc and fu b were equivalent. CL int, ub, in vivo was predicted best using both fu b and fu inc for other hepatocyte data ( n = 56; r 2 = 0.78, p = 3.3 × 10 –19 , average fold error = 5.2). A similar model for CL int, ub, in vivo was established for microsomal data ( n = 37; r 2 = 0.77, p = 1.2 × 10 –12 , average fold error = 6.1). Using the model for CL int, ub, in vivo (including a further empirical scaling factor), the CL h in humans was also calculated according to the well stirred liver model for the most extensive dataset. CL int, in vivo and CL h were both predicted well using in vitro human data from several laboratories for acidic, basic, and neutral drugs. The direct use of this model using only in vitro human data to predict the metabolic component of CL h is attractive, as it does not require extra information from preclinical studies in animals.