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Predicted values for human total clearance of a variety of typical compounds with differently humanized-liver mouse plasma data
Affiliation:1. Drug Metabolism & Pharmacokinetics Research Laboratories, Central Pharmaceutical Research Institute, Japan Tobacco Inc., Takatsuki, Osaka, Japan;2. Laboratory Animal Research Department and Technical Service Department, Central Institute for Experimental Animals, Kawasaki, Kanagawa, Japan;3. Technical Service Department, Central Institute for Experimental Animals, Kawasaki, Kanagawa, Japan;4. Showa Pharmaceutical University, Machida, Tokyo, Japan;1. Department of Pharmacokinetics, Faculty of Pharmaceutical Sciences, Sojo University, Ikeda 4-22-1, Nishi-Ku, Kumamoto, 860-0082, Japan;2. Division of Pharmacodynamics, Faculty of Pharmacy, Keio University, 1-5-30 Shibakoen, Minato-ku, Tokyo, 105-8512, Japan;3. Department of Chemistry, Nara Medical University, 840 Shijo-cho, Kashihara, Nara, 634-8521, Japan;4. Department of Pharmaceutical Microbiology, Faculty of Life Sciences, Kumamoto University, 5-1 Oe-honmachi, Chuo-ku, Kumamoto 862-0973, Japan;5. DDS Research Institute, Sojo University, Ikeda 4-22-1, Nishi-Ku, Kumamoto, 860-0082, Japan;1. Department of Biotechnology, Yonsei University, Seoul 120-479, Republic of Korea;2. Toxicoinformatics Group, Department of Predictive Toxicology, Korea Institute of Toxicology, Daejeon 34114, Republic of Korea;3. Bioinformatics & Molecular Design Research Center, Seoul 120-749, Republic of Korea;4. Department of Pharmacology and Pharmacogenomics Research Center, Inje University, College of Medicine, Busan, Republic of Korea;1. Joint Faculty of Veterinary Medicine, Kagoshima University, Kagoshima City, Kagoshima, 890-8580, Japan;2. Shin Nippon Biomedical Laboratories, Ltd., Kainan, Wakayama, 642-0017, Japan;3. Laboratory of Drug Metabolism and Pharmacokinetics, Showa Pharmaceutical University, Machida, Tokyo, 194-8543, Japan;1. Department of Pharmaceutical Sciences, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma 73104;2. Department of Biostatistics and Epidemiology, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma 73104;3. Certara UK Ltd., Simcyp Division, Level 2-Acero, 1 Concourse Way, Sheffield S1 2BJ, UK;4. Yale MS & Proteomics Resource, Yale University, New Haven, Connecticut 06520;5. Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, Connecticut 06520
Abstract:Prediction of human pharmacokinetics is important in the preclinical stage. Values for total clearance of compounds from plasma should be one of the most important pharmacokinetic parameters for predictions. Although several physiological and empirical methods including single-species allometry for prediction of values for human clearance of compounds using humanized-liver mice have been reported, further improvement of prediction accuracies would be still expected. To optimize these approaches, we proposed methods for unbound intrinsic clearance in virtually 100% humanized-liver mouse by incorporating unbound plasma fractions of compounds in differently humanized-liver mice. Comparisons of prediction accuracies of values for human clearance of 15 model compounds were performed among our current physiological and previously reported models and single-species allometry using humanized-liver mice. Incorporation of the actual unbound plasma fractions of compounds and correction of residual mice hepatocyte in humanized-liver mice showed comparable prediction accuracy to that by single-species allometry. After exclusion of 3 compounds with large species differences in values of clearance and unbound plasma fractions between mice and humans out of 15 compounds, prediction accuracies were improved in the methods investigated. The previously and present reported physiological methods could show the good prediction accuracy of values for clearance of drugs from plasma.
Keywords:Physiological methods  Single-species allometry  Unbound fraction  Chimeric mice with humanized liver
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