The successes and failures of physiologically based pharmacokinetic modeling: there is room for improvement

From the year 2000 onwards, physiologically based pharmacokinetic (PBPK) models in the field of drug research and development have been increasingly used. This proliferation of applications was prompted by the availability of new data and computational approaches required for the parameterization of PBPK models, as well as the availability of commercial software platforms. PBPK approaches have been used to predict drug pharmacokinetics in humans based on nonclinical data, the potential for drug–drug interactions and the expected changes in the pharmacokinetics in case of different physiopathological conditions. In this respect, PBPK is also assuming a more important role in regulatory submissions. Although PBPK methodologies are not perfect yet, their continuous and consistent application is providing a more profound understanding of the determinants of the drug absorption and disposition of new and candidate drugs. We are confident that, with increased use, PBPK methodologies will gradually improve in their predictive capabilities.

[1]  L. Berezhkovskiy,et al.  Determination of volume of distribution at steady state with complete consideration of the kinetics of protein and tissue binding in linear pharmacokinetics. , 2004, Journal of pharmaceutical sciences.

[2]  Wilhelm Huisinga,et al.  Lumping of physiologically-based pharmacokinetic models and a mechanistic derivation of classical compartmental models , 2010, Journal of Pharmacokinetics and Pharmacodynamics.

[3]  Grant R. Wilkinson,et al.  A physiological approach to hepatic drug clearance , 1975 .

[4]  Amin Rostami-Hodjegan,et al.  Resurgence in the use of physiologically based pharmacokinetic models in pediatric clinical pharmacology: parallel shift in incorporating the knowledge of biological elements and increased applicability to drug development and clinical practice , 2011, Paediatric anaesthesia.

[5]  Jin Y. Jin,et al.  A physiologically based pharmacokinetic (PBPK) approach to evaluate pharmacokinetics in patients with cancer , 2013, Biopharmaceutics & drug disposition.

[6]  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.

[7]  L Zhang,et al.  Applications of Physiologically Based Pharmacokinetic (PBPK) Modeling and Simulation During Regulatory Review , 2011, Clinical pharmacology and therapeutics.

[8]  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 .

[9]  Anette Müllertz,et al.  In vitro models for the prediction of in vivo performance of oral dosage forms. , 2014, European journal of pharmaceutical sciences : official journal of the European Federation for Pharmaceutical Sciences.

[10]  Amin Rostami-Hodjegan,et al.  Physiologically based pharmacokinetic (PBPK) modeling: it is here to stay! , 2012, Biopharmaceutics & drug disposition.

[11]  Malcolm Rowland,et al.  Clearance concepts in pharmacokinetics , 1973, Journal of Pharmacokinetics and Biopharmaceutics.

[12]  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.

[13]  M Jamei,et al.  ITC Recommendations for Transporter Kinetic Parameter Estimation and Translational Modeling of Transport‐Mediated PK and DDIs in Humans , 2013, Clinical pharmacology and therapeutics.

[14]  K Rowland-Yeo,et al.  Basic Concepts in Physiologically Based Pharmacokinetic Modeling in Drug Discovery and Development , 2013, CPT: pharmacometrics & systems pharmacology.

[15]  Hong Sun,et al.  Effects of renal failure on drug transport and metabolism. , 2006, Pharmacology & therapeutics.

[16]  G. Tucker,et al.  A Semi-Mechanistic Model to Predict the Effects of Liver Cirrhosis on Drug Clearance , 2010, Clinical pharmacokinetics.

[17]  Houston Jb,et al.  Prediction of Human Pharmacokinetics in 2013 and Beyond , 2013 .

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

[19]  Malcolm Rowland,et al.  PHRMA CPCDC initiative on predictive models of human pharmacokinetics, part 5: prediction of plasma concentration-time profiles in human by using the physiologically-based pharmacokinetic modeling approach. , 2011, Journal of pharmaceutical sciences.

[20]  J Brian Houston,et al.  Prediction of Human Pharmacokinetics in 2013 and Beyond , 2013, Drug Metabolism and Disposition.

[21]  Leslie Z Benet,et al.  Lead PK commentary: predicting human pharmacokinetics. , 2011, Journal of pharmaceutical sciences.

[22]  A. Vinks,et al.  The Future of Physiologically Based Pharmacokinetic Modeling to Predict Drug Exposure in Pregnant Women , 2013, CPT: pharmacometrics & systems pharmacology.

[23]  Shiew-Mei Huang,et al.  The utility of modeling and simulation in drug development and regulatory review. , 2013, Journal of pharmaceutical sciences.