The role of predictive biopharmaceutical modeling and simulation in drug development and regulatory evaluation.

Advances in predicting in vivo performance of drug products has the potential to change how drug products are developed and reviewed. Modeling and simulation methods are now more commonly used in drug product development and regulatory drug review. These applications include, but are not limited to: the development of biorelevant specifications, the determination of bioequivalence metrics for modified release products with rapid therapeutic onset, the design of in vitro-in vivo correlations in a mechanistic framework, and prediction of food effect. As new regulatory concepts such as quality by design require better application of biopharmaceutical modeling in drug product development, regulatory challenges in bioequivalence demonstration of complex drug products also present exciting opportunities for creative modeling and simulation approaches. A collaborative effort among academia, government and industry in modeling and simulation will result in improved safe and effective new/generic drugs to the American public.

[1]  K Ojala,et al.  Very rapid dissolution is not needed to guarantee bioequivalence for biopharmaceutics classification system (BCS) I drugs. , 2010, Journal of pharmaceutical sciences.

[2]  Lawrence X. Yu,et al.  Highly Variable Drugs: Observations from Bioequivalence Data Submitted to the FDA for New Generic Drug Applications , 2008, The AAPS Journal.

[3]  Panos Macheras,et al.  Identification of Biowaivers Among Class II Drugs: Theoretical Justification and Practical Examples , 2004, Pharmaceutical Research.

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

[5]  Leon Aarons,et al.  Drug–drug interaction predictions with PBPK models and optimal multiresponse sampling time designs: application to midazolam and a phase I compound. Part 1: comparison of uniresponse and multiresponse designs using PopDes , 2008, Journal of Pharmacokinetics and Pharmacodynamics.

[6]  Lawrence X. Yu,et al.  Biowaiver extension potential to BCS Class III high solubility-low permeability drugs: bridging evidence for metformin immediate-release tablet. , 2004, European journal of pharmaceutical sciences : official journal of the European Federation for Pharmaceutical Sciences.

[7]  Jelena Parojcić,et al.  Justification of biowaiver for carbamazepine, a low soluble high permeable compound, in solid dosage forms based on IVIVC and gastrointestinal simulation. , 2009, Molecular pharmaceutics.

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

[9]  M. Odomi,et al.  Effect of particle size reduction on dissolution and oral absorption of a poorly water-soluble drug, cilostazol, in beagle dogs. , 2006, Journal of controlled release : official journal of the Controlled Release Society.

[10]  Thierry Lavé,et al.  Physiologically based pharmacokinetic (PBPK) modeling of disposition of epiroprim in humans. , 2003, Journal of pharmaceutical sciences.

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

[12]  Svetlana Lyapustina,et al.  Demonstrating Bioequivalence of Locally Acting Orally Inhaled Drug Products (OIPs): Workshop Summary Report. , 2010, Journal of aerosol medicine and pulmonary drug delivery.

[13]  Raimar Löbenberg,et al.  Biorelevant dissolution media as a predictive tool for glyburide a class II drug. , 2006, European journal of pharmaceutical sciences : official journal of the European Federation for Pharmaceutical Sciences.

[14]  Stefan Willmann,et al.  Mechanism-based prediction of particle size-dependent dissolution and absorption: cilostazol pharmacokinetics in dogs. , 2010, European journal of pharmaceutics and biopharmaceutics : official journal of Arbeitsgemeinschaft fur Pharmazeutische Verfahrenstechnik e.V.

[15]  Robert A. Lionberger,et al.  FDA Critical Path Initiatives: Opportunities for Generic Drug Development , 2008, The AAPS Journal.

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

[17]  Kazuya Maeda,et al.  Physiologically Based Pharmacokinetic Modeling to Predict Transporter-Mediated Clearance and Distribution of Pravastatin in Humans , 2009, Journal of Pharmacology and Experimental Therapeutics.

[18]  Lawrence X. Yu Pharmaceutical Quality by Design: Product and Process Development, Understanding, and Control , 2008, Pharmaceutical Research.

[19]  Lawrence X. Yu,et al.  Compartmental transit and dispersion model analysis of small intestinal transit flow in humans , 1996 .

[20]  Raimar Löbenberg,et al.  Computer simulations using GastroPlus to justify a biowaiver for etoricoxib solid oral drug products. , 2009, European journal of pharmaceutics and biopharmaceutics : official journal of Arbeitsgemeinschaft fur Pharmazeutische Verfahrenstechnik e.V.

[21]  Rainer H Müller,et al.  Nanocrystal technology, drug delivery and clinical applications , 2008, International journal of nanomedicine.

[22]  Michael Brandl,et al.  Physicochemical Properties of the Nucleoside Prodrug R1626 Leading to High Oral Bioavailability , 2008 .

[23]  V. Lukacova,et al.  Predicting Pharmacokinetics of Drugs Using Physiologically Based Modeling—Application to Food Effects , 2009, The AAPS Journal.

[24]  Jennifer B Dressman,et al.  Feasibility of Biowaiver Extension to Biopharmaceutics Classification System Class III Drug Products , 2006, Clinical Pharmacokinetics.

[25]  D M Barends,et al.  Biowaiver monographs for immediate release solid oral dosage forms: ranitidine hydrochloride. , 2005, Journal of pharmaceutical sciences.

[26]  Vinod P. Shah,et al.  Biopharmaceutics Classification System: The Scientific Basis for Biowaiver Extensions , 2002, Pharmaceutical Research.

[27]  Yasuhiro Tsume,et al.  The biowaiver extension for BCS class III drugs: the effect of dissolution rate on the bioequivalence of BCS class III immediate-release drugs predicted by computer simulation. , 2010, Molecular pharmaceutics.

[28]  Toshihiko Ikeda,et al.  The Quantitative Prediction of CYP-mediated Drug Interaction by Physiologically Based Pharmacokinetic Modeling , 2008, Pharmaceutical Research.

[29]  Filippos Kesisoglou,et al.  Prediction of food effects on the absorption of celecoxib based on biorelevant dissolution testing coupled with physiologically based pharmacokinetic modeling. , 2009, European journal of pharmaceutics and biopharmaceutics : official journal of Arbeitsgemeinschaft fur Pharmazeutische Verfahrenstechnik e.V.

[30]  Terry Hyslop,et al.  Evaluation of a Scaling Approach for the Bioequivalence of Highly Variable Drugs , 2008, The AAPS Journal.

[31]  G L Amidon,et al.  Biowaiver monographs for immediate release solid oral dosage forms based on biopharmaceutics classification system (BCS) literature data: verapamil hydrochloride, propranolol hydrochloride, and atenolol. , 2004, Journal of pharmaceutical sciences.

[32]  Stefan Willmann,et al.  Theoretical Biology and Medical Modelling Open Access Dynamically Simulating the Interaction of Midazolam and the Cyp3a4 Inhibitor Itraconazole Using Individual Coupled Whole-body Physiologically-based Pharmacokinetic (wb-pbpk) Models , 2022 .

[33]  Thierry Lavé,et al.  Predicting Pharmacokinetic Food Effects Using Biorelevant Solubility Media and Physiologically Based Modelling , 2006, Clinical pharmacokinetics.

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

[35]  Isadore Kanfer,et al.  Strategies for the Bioequivalence Assessment of Topical Dermatological Dosage Forms , 2010 .

[36]  Raimar Löbenberg,et al.  Dynamic Dissolution Testing To Establish In Vitro/In Vivo Correlations for Montelukast Sodium, a Poorly Soluble Drug , 2008, Pharmaceutical Research.

[37]  Erich Brunner,et al.  Reaktionsgeschwindigkeit in heterogenen Systemen , 1904 .

[38]  Martin Kuentz,et al.  Drug Absorption Modeling as a Tool to Define the Strategy in Clinical Formulation Development , 2008, The AAPS Journal.

[39]  Yatindra Joshi,et al.  Development of clinical dosage forms for a poorly water soluble drug I: Application of polyethylene glycol-polysorbate 80 solid dispersion carrier system. , 2004, Journal of pharmaceutical sciences.

[40]  A. Urtti,et al.  Pharmacokinetic simulation of biowaiver criteria: the effects of gastric emptying, dissolution, absorption and elimination rates. , 2007, European journal of pharmaceutical sciences : official journal of the European Federation for Pharmaceutical Sciences.

[41]  Peter Langguth,et al.  An Investigation into the Importance of “Very Rapid Dissolution” Criteria for Drug Bioequivalence Demonstration using Gastrointestinal Simulation Technology , 2009, The AAPS Journal.

[42]  Filippos Kesisoglou,et al.  Understanding the Effect of API Properties on Bioavailability Through Absorption Modeling , 2008, The AAPS Journal.

[43]  Lawrence X. Yu An Integrated Model for Determining Causes of Poor Oral Drug Absorption , 1999, Pharmaceutical Research.

[44]  P J Sinko,et al.  Development of predictive pharmacokinetic simulation models for drug discovery. , 2000, Journal of controlled release : official journal of the Controlled Release Society.

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

[46]  Thierry Lavé,et al.  Prediction of intestinal absorption: comparative assessment of GASTROPLUS and IDEA. , 2002, European journal of pharmaceutical sciences : official journal of the European Federation for Pharmaceutical Sciences.

[47]  G. Grass,et al.  Simulation models to predict oral drug absorption from in vitro data , 1997 .

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

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

[50]  Wilhelm Huisinga,et al.  Physiologically based pharmacokinetic modelling: a sub-compartmentalized model of tissue distribution , 2007, Journal of Pharmacokinetics and Pharmacodynamics.

[51]  Jack A. Cook,et al.  Summary Workshop Report: Bioequivalence, Biopharmaceutics Classification System, and Beyond , 2008, The AAPS Journal.

[52]  Eva Benfeldt,et al.  Application of dermal microdialysis for the evaluation of bioequivalence of a ketoprofen topical gel. , 2009, European journal of pharmaceutical sciences : official journal of the European Federation for Pharmaceutical Sciences.

[53]  Martin Kuentz,et al.  A strategy for preclinical formulation development using GastroPlus as pharmacokinetic simulation tool and a statistical screening design applied to a dog study. , 2006, European journal of pharmaceutical sciences : official journal of the European Federation for Pharmaceutical Sciences.

[54]  Lawrence X. Yu,et al.  Mechanistic Approaches to Predicting Oral Drug Absorption , 2009, The AAPS Journal.

[55]  R K Jain,et al.  Biodistribution of monoclonal antibodies: scale-up from mouse to human using a physiologically based pharmacokinetic model. , 1995, Cancer research.

[56]  Lawrence X. Yu,et al.  Utility of Physiologically Based Absorption Modeling in Implementing Quality by Design in Drug Development , 2011, The AAPS Journal.

[57]  Lawrence X. Yu,et al.  Bioequivalence Approaches for Highly Variable Drugs and Drug Products , 2007, Pharmaceutical Research.

[58]  Walter Schmitt,et al.  Development of a Physiology-Based Whole-Body Population Model for Assessing the Influence of Individual Variability on the Pharmacokinetics of Drugs , 2007, Journal of Pharmacokinetics and Pharmacodynamics.

[59]  Filippos Kesisoglou,et al.  Nanosizing--oral formulation development and biopharmaceutical evaluation. , 2007, Advanced drug delivery reviews.

[60]  Eva Benfeldt,et al.  AAPS-FDA Workshop White Paper: Microdialysis Principles, Application and Regulatory Perspectives , 2006, Pharmaceutical Research.

[61]  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 .

[62]  Thierry Lavé,et al.  New strategies to address drug-drug interactions involving OATPs. , 2007, Current opinion in drug discovery & development.

[63]  Lawrence X. Yu,et al.  In Vitro Considerations to Support Bioequivalence of Locally Acting Drugs in Dry Powder Inhalers for Lung Diseases , 2009, The AAPS Journal.

[64]  Filippos Kesisoglou,et al.  Understanding the Effect of API Properties on Bioavailability Through Absorption Modeling , 2008, The AAPS Journal.

[65]  Terry Hyslop,et al.  Evaluation of a Scaling Approach for the Bioequivalence of Highly Variable Drugs , 2008, The AAPS Journal.

[66]  Filippos Kesisoglou,et al.  Forecasting in vivo oral absorption and food effect of micronized and nanosized aprepitant formulations in humans. , 2010, European journal of pharmaceutics and biopharmaceutics : official journal of Arbeitsgemeinschaft fur Pharmazeutische Verfahrenstechnik e.V.

[67]  B. Schug,et al.  The biopharmaceutics classification system (BCS): class III drugs - better candidates for BA/BE waiver? , 1999, European journal of pharmaceutical sciences : official journal of the European Federation for Pharmaceutical Sciences.

[68]  Sebastian Polak,et al.  Population-Based Mechanistic Prediction of Oral Drug Absorption , 2009, The AAPS Journal.

[69]  Leon Aarons,et al.  Drug–drug interaction predictions with PBPK models and optimal multiresponse sampling time designs: application to midazolam and a phase I compound. Part 2: clinical trial results , 2008, Journal of Pharmacokinetics and Pharmacodynamics.

[70]  W. Nernst,et al.  Theorie der Reaktionsgeschwindigkeit in heterogenen Systemen , 1904 .

[71]  R. Haase,et al.  Diffusion im kritischen Entmischungsgebiet binärer flüssiger Systeme , 1968 .

[72]  A. Noyes,et al.  The rate of solution of solid substances in their own solutions , 1897 .

[73]  Michael B. Bolger,et al.  Application of Gastrointestinal Simulation for Extensions for Biowaivers of Highly Permeable Compounds , 2008, The AAPS Journal.