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Prediction of human pharmacokinetics of typical compounds by a physiologically based method using chimeric mice with humanized liver
Authors:Keigo Nakayama  Soichiro Ito  Masahiro Suzuki  Hiroaki Takubo  Hiroshi Yamazaki  Yukihiro Nomura
Affiliation:1. Drug Metabolism and Pharmacokinetics Research Laboratories, Central Pharmaceutical Research Institute, Japan Tobacco Inc, Osaka, Japan;2. Laboratory of Drug Metabolism and Pharmacokinetics, Showa Pharmaceutical University, Tokyo, Japan
Abstract:
  1. In this study, total body clearance (CLt), volume of distribution at steady state (Vss) and plasma concentration–time profiles in humans of model compounds were predicted using chimeric mice with humanized livers.

  2. On the basis of assumption that unbound intrinsic clearance (CLUint) per liver weight in chimeric mice was equal to those in humans, CLt were predicted by substituting human liver blood flow and liver weights in well-stirred model. Vss were predicted by Rodgers equation using scaling factors of tissue-plasma concentration ratios (SFKp) in chimeric mice estimated from a difference between the observed and predicted Vss. These physiological approaches showed high prediction accuracy for CLt and Vss values in humans.

  3. We compared the predictability of CLt and Vss determined by the physiologically based predictive approach using chimeric mice with those from predictive methods reported by Pharmaceutical Research Manufacturers of America. The physiological approach using chimeric mice indicated the best prediction accuracy in each predictive method.

  4. Simulation of human plasma concentration–time profiles were generally successful with physiologically based pharmacokinetic (PBPK) model incorporating CLUint and SFKp obtained from chimeric mice.

  5. Combined application of chimeric mice and PBPK modeling is effective for prediction of human PK in various compounds.

Keywords:Chimeric mice with humanized livers  prediction  pharmacokinetics  scaling factor  physiological approach  physiologically based pharmacokinetic modeling  clearance  volume of distribution
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