Literature DB >> 26296709

Physiologically Based Pharmacokinetic (PBPK) Modeling and Simulation Approaches: A Systematic Review of Published Models, Applications, and Model Verification.

Jennifer E Sager1, Jingjing Yu1, Isabelle Ragueneau-Majlessi1, Nina Isoherranen2.   

Abstract

Modeling and simulation of drug disposition has emerged as an important tool in drug development, clinical study design and regulatory review, and the number of physiologically based pharmacokinetic (PBPK) modeling related publications and regulatory submissions have risen dramatically in recent years. However, the extent of use of PBPK modeling by researchers, and the public availability of models has not been systematically evaluated. This review evaluates PBPK-related publications to 1) identify the common applications of PBPK modeling; 2) determine ways in which models are developed; 3) establish how model quality is assessed; and 4) provide a list of publically available PBPK models for sensitive P450 and transporter substrates as well as selective inhibitors and inducers. PubMed searches were conducted using the terms "PBPK" and "physiologically based pharmacokinetic model" to collect published models. Only papers on PBPK modeling of pharmaceutical agents in humans published in English between 2008 and May 2015 were reviewed. A total of 366 PBPK-related articles met the search criteria, with the number of articles published per year rising steadily. Published models were most commonly used for drug-drug interaction predictions (28%), followed by interindividual variability and general clinical pharmacokinetic predictions (23%), formulation or absorption modeling (12%), and predicting age-related changes in pharmacokinetics and disposition (10%). In total, 106 models of sensitive substrates, inhibitors, and inducers were identified. An in-depth analysis of the model development and verification revealed a lack of consistency in model development and quality assessment practices, demonstrating a need for development of best-practice guidelines.
Copyright © 2015 by The American Society for Pharmacology and Experimental Therapeutics.

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Year:  2015        PMID: 26296709      PMCID: PMC4613950          DOI: 10.1124/dmd.115.065920

Source DB:  PubMed          Journal:  Drug Metab Dispos        ISSN: 0090-9556            Impact factor:   3.922


  166 in total

1.  Prediction of adipose tissue: plasma partition coefficients for structurally unrelated drugs.

Authors:  P Poulin; K Schoenlein; F P Theil
Journal:  J Pharm Sci       Date:  2001-04       Impact factor: 3.534

2.  A pregnancy physiologically based pharmacokinetic (p-PBPK) model for disposition of drugs metabolized by CYP1A2, CYP2D6 and CYP3A4.

Authors:  Lu Gaohua; Khaled Abduljalil; Masoud Jamei; Trevor N Johnson; Amin Rostami-Hodjegan
Journal:  Br J Clin Pharmacol       Date:  2012-11       Impact factor: 4.335

3.  Physiologically based pharmacokinetic model of midazolam disposition during pregnancy.

Authors:  Marilee A Andrew; Mary F Hebert; Paolo Vicini
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2008

4.  Predicting drug-drug interactions involving multiple mechanisms using physiologically based pharmacokinetic modeling: a case study with ruxolitinib.

Authors:  J G Shi; G Fraczkiewicz; W V Williams; S Yeleswaram
Journal:  Clin Pharmacol Ther       Date:  2014-12-15       Impact factor: 6.875

5.  Application of a physiologically based pharmacokinetic model informed by a top-down approach for the prediction of pharmacokinetics in chronic kidney disease patients.

Authors:  Hiroyuki Sayama; Hiroaki Takubo; Hiroshi Komura; Motohiro Kogayu; Masahiro Iwaki
Journal:  AAPS J       Date:  2014-06-11       Impact factor: 4.009

6.  Links between cyclosporin exposure in tissues and graft-versus-host disease in pediatric bone marrow transplantation: analysis by a PBPK model.

Authors:  Cécile Gérard; Nathalie Bleyzac; Pascal Girard; Gilles Freyer; Yves Bertrand; Michel Tod
Journal:  Pharm Res       Date:  2010-10-21       Impact factor: 4.200

7.  A physiologically based pharmacokinetic model to predict disposition of CYP2D6 and CYP1A2 metabolized drugs in pregnant women.

Authors:  Alice Ban Ke; Srikanth C Nallani; Ping Zhao; Amin Rostami-Hodjegan; Nina Isoherranen; Jashvant D Unadkat
Journal:  Drug Metab Dispos       Date:  2013-01-25       Impact factor: 3.922

8.  Quantitative prediction of formulation-specific food effects and their population variability from in vitro data with the physiologically-based ADAM model: a case study using the BCS/BDDCS Class II drug nifedipine.

Authors:  Nikunjkumar Patel; Sebastian Polak; Masoud Jamei; Amin Rostami-Hodjegan; David B Turner
Journal:  Eur J Pharm Sci       Date:  2013-09-21       Impact factor: 4.384

9.  Quantitative evaluation of pharmacokinetic inhibition of CYP3A substrates by ketoconazole: a simulation study.

Authors:  Ping Zhao; Isabelle Ragueneau-Majlessi; Lei Zhang; John M Strong; Kellie S Reynolds; Rene H Levy; Kenneth E Thummel; Shiew-Mei Huang
Journal:  J Clin Pharmacol       Date:  2009-03       Impact factor: 3.126

10.  Mechanism-based pharmacokinetic modeling to evaluate transporter-enzyme interplay in drug interactions and pharmacogenetics of glyburide.

Authors:  Manthena V S Varma; Renato J Scialis; Jian Lin; Yi-An Bi; Charles J Rotter; Theunis C Goosen; Xin Yang
Journal:  AAPS J       Date:  2014-05-17       Impact factor: 4.009

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  102 in total

1.  Physiologically Based Pharmacokinetics of Dexamethasone in Rats.

Authors:  Dawei Song; Le Sun; Debra C DuBois; Richard R Almon; Shengnan Meng; William J Jusko
Journal:  Drug Metab Dispos       Date:  2020-06-29       Impact factor: 3.922

Review 2.  Pharmacokinetic and Pharmacodynamic Properties of Drug Delivery Systems.

Authors:  Patrick M Glassman; Vladimir R Muzykantov
Journal:  J Pharmacol Exp Ther       Date:  2019-03-05       Impact factor: 4.030

Review 3.  State-of-the-Art Review on Physiologically Based Pharmacokinetic Modeling in Pediatric Drug Development.

Authors:  Venkata Yellepeddi; Joseph Rower; Xiaoxi Liu; Shaun Kumar; Jahidur Rashid; Catherine M T Sherwin
Journal:  Clin Pharmacokinet       Date:  2019-01       Impact factor: 6.447

4.  Impact of Ethnicity-Specific Hepatic Microsomal Scaling Factor, Liver Weight, and Cytochrome P450 (CYP) 1A2 Content on Physiologically Based Prediction of CYP1A2-Mediated Pharmacokinetics in Young and Elderly Chinese Adults.

Authors:  Guo-Fu Li; Qing-Shan Zheng; Yichao Yu; Wei Zhong; Hong-Hao Zhou; Furong Qiu; Guangji Wang; Guo Yu; Hartmut Derendorf
Journal:  Clin Pharmacokinet       Date:  2019-07       Impact factor: 6.447

5.  An evidence-based recommendation to increase the dosing frequency of buprenorphine during pregnancy.

Authors:  Steve N Caritis; Jaime R Bastian; Hongfei Zhang; Hari Kalluri; Dennis English; Michael England; Stephanie Bobby; Raman Venkataramanan
Journal:  Am J Obstet Gynecol       Date:  2017-06-29       Impact factor: 8.661

6.  Application of Mechanistic Ocular Absorption Modeling and Simulation to Understand the Impact of Formulation Properties on Ophthalmic Bioavailability in Rabbits: a Case Study Using Dexamethasone Suspension.

Authors:  Maxime Le Merdy; Jianghong Fan; Michael B Bolger; Viera Lukacova; Jessica Spires; Eleftheria Tsakalozou; Vikram Patel; Lin Xu; Sharron Stewart; Ashok Chockalingam; Suresh Narayanasamy; Rodney Rouse; Murali Matta; Andrew Babiskin; Darby Kozak; Stephanie Choi; Lei Zhang; Robert Lionberger; Liang Zhao
Journal:  AAPS J       Date:  2019-05-20       Impact factor: 4.009

7.  A Translational Physiologically Based Pharmacokinetics/Pharmacodynamics Framework of Target-Mediated Disposition, Target Inhibition and Drug-Drug Interactions of Bortezomib.

Authors:  Shinji Iwasaki; Andy Zhu; Michael Hanley; Karthik Venkatakrishnan; Cindy Xia
Journal:  AAPS J       Date:  2020-04-14       Impact factor: 4.009

8.  A physiologically based pharmacokinetic analysis to predict the pharmacokinetics of intravenous isavuconazole in patients with or without hepatic impairment.

Authors:  Huiping Huang; Helin Xie; Nupur Chaphekar; Ruichao Xu; Raman Venkataramanan; Xuemei Wu
Journal:  Antimicrob Agents Chemother       Date:  2021-02-22       Impact factor: 5.191

9.  Quantitative Systems Pharmacology: A Framework for Context.

Authors:  Ioannis P Androulakis
Journal:  Curr Pharmacol Rep       Date:  2016-04-08

Review 10.  Pharmacokinetic studies in pregnancy.

Authors:  Michael J Avram
Journal:  Semin Perinatol       Date:  2020-01-27       Impact factor: 3.300

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