Modelling and PBPK Simulation in Drug Discovery

Physiologically based pharmacokinetic (PBPK) models are composed of a series of differential equations and have been implemented in a number of commercial software packages. These models require species-specific and compound-specific input parameters and allow for the prediction of plasma and tissue concentration time profiles after intravenous and oral administration of compounds to animals and humans. PBPK models allow the early integration of a wide variety of preclinical data into a mechanistic quantitative framework. Use of PBPK models allows the experimenter to gain insights into the properties of a compound, helps to guide experimental efforts at the early stages of drug discovery, and enables the prediction of human plasma concentration time profiles with minimal (and in some cases no) animal data. In this review, the application and limitations of PBPK techniques in drug discovery are discussed. Specific reference is made to its utility (1) at the lead development stage for the prioritization of compounds for animal PK studies and (2) at the clinical candidate selection and “first in human” stages for the prediction of human PK.

[1]  Kiyomi Ito,et al.  Prediction of Human Drug Clearance from in Vitro and Preclinical Data Using Physiologically Based and Empirical Approaches , 2004, Pharmaceutical Research.

[2]  R. Austin,et al.  A UNIFIED MODEL FOR PREDICTING HUMAN HEPATIC, METABOLIC CLEARANCE FROM IN VITRO INTRINSIC CLEARANCE DATA IN HEPATOCYTES AND MICROSOMES , 2005, Drug Metabolism and Disposition.

[3]  L. A. Fenu,et al.  The Prediction of Drug Metabolism, Tissue Distribution, and Bioavailability of 50 Structurally Diverse Compounds in Rat Using Mechanism-Based Absorption, Distribution, and Metabolism Prediction Tools , 2007, Drug Metabolism and Disposition.

[4]  Malcolm Rowland,et al.  Physiologically based pharmacokinetics in Drug Development and Regulatory Science: A workshop report (Georgetown University, Washington, DC, May 29–30, 2002) , 2004, AAPS PharmSci.

[5]  Malcolm Rowland,et al.  Physiologically based pharmacokinetics in drug development and regulatory science: a workshop report (Georgetown University, Washington, DC, May 29-30, 2002). , 2004, AAPS pharmSci.

[6]  Huadong Tang,et al.  A NOVEL MODEL FOR PREDICTION OF HUMAN DRUG CLEARANCE BY ALLOMETRIC SCALING , 2005, Drug Metabolism and Disposition.

[7]  Robert J Riley,et al.  THE BINDING OF DRUGS TO HEPATOCYTES AND ITS RELATIONSHIP TO PHYSICOCHEMICAL PROPERTIES , 2005, Drug Metabolism and Disposition.

[8]  R. Portmann,et al.  Interspecies Pharmacokinetic Comparisons and Allometric Scaling of Napsagatran, a Low Molecular Weight Thrombin Inhibitor , 1999, The Journal of pharmacy and pharmacology.

[9]  Sheila Annie Peters,et al.  Evaluation of a Generic Physiologically Based Pharmacokinetic Model for Lineshape Analysis , 2008, Clinical pharmacokinetics.

[10]  Robert J Riley,et al.  EVALUATION OF FRESH AND CRYOPRESERVED HEPATOCYTES AS IN VITRO DRUG METABOLISM TOOLS FOR THE PREDICTION OF METABOLIC CLEARANCE , 2004, Drug Metabolism and Disposition.

[11]  Patrick Poulin,et al.  Prediction of pharmacokinetics prior to in vivo studies. 1. Mechanism-based prediction of volume of distribution. , 2002, Journal of pharmaceutical sciences.

[12]  Sun Kao-xiang The prediction of human pharmacokinetic parameters from preclinical and in vitro metabolism data , 2005 .

[13]  Malcolm Rowland,et al.  Rodgers T, Rowland M. 2006. Physiologically‐based Pharmacokinetic Modeling 2: Predicting the tissue distribution of acids, very weak bases, neutrals and zwitterions. J Pharm Sci 95:1238–1257. , 2007 .

[14]  J B Houston,et al.  Utility of in vitro drug metabolism data in predicting in vivo metabolic clearance. , 1994, Biochemical pharmacology.

[15]  Robert L. Dedrick,et al.  Animal scale-up , 1973, Journal of Pharmacokinetics and Biopharmaceutics.

[16]  Malcolm Rowland,et al.  Physiologically-based pharmacokinetics in drug development and regulatory science. , 2011, Annual review of pharmacology and toxicology.

[17]  G. Tucker,et al.  Inter-individual variability in levels of human microsomal protein and hepatocellularity per gram of liver. , 2003, British journal of clinical pharmacology.

[18]  Scott L Cockroft,et al.  The influence of nonspecific microsomal binding on apparent intrinsic clearance, and its prediction from physicochemical properties. , 2002, Drug metabolism and disposition: the biological fate of chemicals.

[19]  Kiyomi Ito,et al.  Comparison of the Use of Liver Models for Predicting Drug Clearance Using in Vitro Kinetic Data from Hepatic Microsomes and Isolated Hepatocytes , 2004, Pharmaceutical Research.

[20]  Patrick Poulin,et al.  Prediction of pharmacokinetics prior to in vivo studies. II. Generic physiologically based pharmacokinetic models of drug disposition. , 2002, Journal of pharmaceutical sciences.

[21]  L. Berezhkovskiy,et al.  Volume of distribution at steady state for a linear pharmacokinetic system with peripheral elimination. , 2004, Journal of pharmaceutical sciences.

[22]  Patrizia Crivori,et al.  Evaluation of a basic physiologically based pharmacokinetic model for simulating the first-time-in-animal study. , 2007, European journal of pharmaceutical sciences : official journal of the European Federation for Pharmaceutical Sciences.

[23]  Yuichi Sugiyama,et al.  Prediction of the volumes of distribution of basic drugs in humans based on data from animals , 1984, Journal of Pharmacokinetics and Biopharmaceutics.

[24]  M Rowland,et al.  Dose-dependent pharmacokinetics of cyclosporin A in rats: events in tissues. , 2000, Drug metabolism and disposition: the biological fate of chemicals.

[25]  G. Searle,et al.  APPLICATION OF A GENERIC PHYSIOLOGICALLY BASED PHARMACOKINETIC MODEL TO THE ESTIMATION OF XENOBIOTIC LEVELS IN HUMAN PLASMA , 2006, Drug Metabolism and Disposition.

[26]  F. Theil,et al.  Prediction of adipose tissue: plasma partition coefficients for structurally unrelated drugs. , 2001, Journal of pharmaceutical sciences.

[27]  R J Riley,et al.  The impact of in vitro binding on in vitro-in vivo extrapolations, projections of metabolic clearance and clinical drug-drug interactions. , 2006, Current drug metabolism.

[28]  Yau Yi Lau,et al.  Development of a novel in vitro model to predict hepatic clearance using fresh, cryopreserved, and sandwich-cultured hepatocytes. , 2002, Drug metabolism and disposition: the biological fate of chemicals.

[29]  I Mahmood,et al.  Interspecies scaling: predicting pharmacokinetic parameters of antiepileptic drugs in humans from animals with special emphasis on clearance. , 1996, Journal of pharmaceutical sciences.

[30]  Hannah M Jones,et al.  SUBSTRATE DEPLETION APPROACH FOR DETERMINING IN VITRO METABOLIC CLEARANCE: TIME DEPENDENCIES IN HEPATOCYTE AND MICROSOMAL INCUBATIONS , 2004, Drug Metabolism and Disposition.

[31]  F. Theil,et al.  A priori prediction of tissue:plasma partition coefficients of drugs to facilitate the use of physiologically-based pharmacokinetic models in drug discovery. , 2000, Journal of pharmaceutical sciences.

[32]  Yuichi Sugiyama,et al.  Utility of hepatocytes in predicting drug metabolism: comparison of hepatic intrinsic clearance in rats and humans in vivo and in vitro. , 2003, Drug metabolism and disposition: the biological fate of chemicals.

[33]  J B Houston,et al.  Prediction of hepatic clearance from microsomes, hepatocytes, and liver slices. , 1997, Drug metabolism reviews.

[34]  W. Schmitt,et al.  A Physiologic Model for Simulating Gastrointestinal Flow and Drug Absorption in Rats , 2003, Pharmaceutical Research.

[35]  J. Mordenti,et al.  Man versus beast: pharmacokinetic scaling in mammals. , 1986, Journal of pharmaceutical sciences.

[36]  B Agoram,et al.  Predicting the impact of physiological and biochemical processes on oral drug bioavailability. , 2001, Advanced drug delivery reviews.

[37]  Malcolm Rowland,et al.  Mechanistic Approaches to Volume of Distribution Predictions: Understanding the Processes , 2007, Pharmaceutical Research.

[38]  T Lavé,et al.  Prediction of Hepatic Metabolic Clearance Based on Interspecies Allometric Scaling Techniques and In Vitro-In Vivo Correlations , 1999, Clinical pharmacokinetics.

[39]  Walter Schmitt,et al.  A physiological model for the estimation of the fraction dose absorbed in humans. , 2004, Journal of medicinal chemistry.

[40]  L. A. Fenu,et al.  Predicting Oral Clearance in Humans , 2008, Clinical pharmacokinetics.

[41]  R. Obach,et al.  Prediction of human clearance of twenty-nine drugs from hepatic microsomal intrinsic clearance data: An examination of in vitro half-life approach and nonspecific binding to microsomes. , 1999, Drug metabolism and disposition: the biological fate of chemicals.

[42]  M. Delp,et al.  Physiological Parameter Values for Physiologically Based Pharmacokinetic Models , 1997, Toxicology and industrial health.

[43]  Thierry Lavé,et al.  An evaluation of the utility of physiologically based models of pharmacokinetics in early drug discovery. , 2005, Journal of pharmaceutical sciences.

[44]  Ivan Nestorov,et al.  Whole Body Pharmacokinetic Models , 2003, Clinical pharmacokinetics.

[45]  M. Rowland,et al.  Physiologically based pharmacokinetic modeling 1: predicting the tissue distribution of moderate-to-strong bases. , 2005, Journal of pharmaceutical sciences.

[46]  G. E. Searle,et al.  APPLICATION OF A GENERIC PHYSIOLOGICALLY BASED PHARMACOKINETIC MODEL TO THE ESTIMATION OF XENOBIOTIC LEVELS IN RAT PLASMA , 2006, Drug Metabolism and Disposition.

[47]  J B Houston,et al.  Scaling factors to relate drug metabolic clearance in hepatic microsomes, isolated hepatocytes, and the intact liver: studies with induced livers involving diazepam. , 1997, Drug metabolism and disposition: the biological fate of chemicals.

[48]  John C Lipscomb,et al.  Scaling factors for the extrapolation of in vivo metabolic drug clearance from in vitro data: reaching a consensus on values of human microsomal protein and hepatocellularity per gram of liver. , 2007, Current drug metabolism.

[49]  G L Amidon,et al.  A compartmental absorption and transit model for estimating oral drug absorption. , 1999, International journal of pharmaceutics.

[50]  I. Mahmood Prediction of human drug clearance from animal data: application of the rule of exponents and 'fu Corrected Intercept Method' (FCIM). , 2006, Journal of pharmaceutical sciences.

[51]  A. Gibb,et al.  Understanding the Process of Starting Small Businesses , 1982 .

[52]  Tim Morris,et al.  Physiological Parameters in Laboratory Animals and Humans , 1993, Pharmaceutical Research.

[53]  J Brian Houston,et al.  BINDING OF DRUGS TO HEPATIC MICROSOMES: COMMENT AND ASSESSMENT OF CURRENT PREDICTION METHODOLOGY WITH RECOMMENDATION FOR IMPROVEMENT , 2006, Drug Metabolism and Disposition.

[54]  L. A. Fenu,et al.  Prediction of Human Pharmacokinetics Using Physiologically Based Modeling: A Retrospective Analysis of 26 Clinically Tested Drugs , 2007, Drug Metabolism and Disposition.

[55]  Y. Ishii,et al.  A convenient in vitro screening method for predicting in vivo drug metabolic clearance using isolated hepatocytes suspended in serum. , 2000, Drug metabolism and disposition: the biological fate of chemicals.

[56]  T Ishizaki,et al.  Prediction of in vivo drug metabolism in the human liver from in vitro metabolism data. , 1997, Pharmacology & therapeutics.

[57]  Harold Boxenbaum,et al.  Interspecies scaling, allometry, physiological time, and the ground plan of pharmacokinetics , 1982, Journal of Pharmacokinetics and Biopharmaceutics.

[58]  P. Jeffrey,et al.  Utility of metabolic stability screening: comparison of in vitro and in vivo clearance , 2001, Xenobiotica; the fate of foreign compounds in biological systems.

[59]  G. Robbie,et al.  Correlation of Plasma Clearance of 54 Extensively Metabolized Drugs Between Humans and Rats: Mean Allometric Coefficient of 0.66 , 1998, Pharmaceutical Research.

[60]  Patrick Poulin,et al.  Utility of physiologically based pharmacokinetic models to drug development and rational drug discovery candidate selection. , 2003, Toxicology letters.

[61]  D J Rance,et al.  The prediction of human pharmacokinetic parameters from preclinical and in vitro metabolism data. , 1997, The Journal of pharmacology and experimental therapeutics.

[62]  M. Rowland,et al.  Physiologically based pharmacokinetic modelling 2: predicting the tissue distribution of acids, very weak bases, neutrals and zwitterions. , 2006, Journal of pharmaceutical sciences.

[63]  D. Jaeck,et al.  The Use of Human Hepatocytes to Select Compounds Based on Their Expected Hepatic Extraction Ratios in Humans , 1997, Pharmaceutical Research.

[64]  J Brian Houston,et al.  Evaluation of Cryopreserved Human Hepatocytes as an Alternative in Vitro System to Microsomes for the Prediction of Metabolic Clearance , 2007, Drug Metabolism and Disposition.