Literature DB >> 36063173

Towards best use and regulatory acceptance of generic physiologically based kinetic (PBK) models for in vitro-to-in vivo extrapolation (IVIVE) in chemical risk assessment.

Abdulkarim Najjar1, Ans Punt2, John Wambaugh3, Alicia Paini4, Corie Ellison5, Styliani Fragki6, Enrica Bianchi7, Fagen Zhang8, Joost Westerhout9, Dennis Mueller10, Hequn Li11, Quan Shi12, Timothy W Gant13, Phil Botham14, Rémi Bars15, Aldert Piersma6, Ben van Ravenzwaay16, Nynke I Kramer17.   

Abstract

With an increasing need to incorporate new approach methodologies (NAMs) in chemical risk assessment and the concomitant need to phase out animal testing, the interpretation of in vitro assay readouts for quantitative hazard characterisation becomes more important. Physiologically based kinetic (PBK) models, which simulate the fate of chemicals in tissues of the body, play an essential role in extrapolating in vitro effect concentrations to in vivo bioequivalent exposures. As PBK-based testing approaches evolve, it will become essential to standardise PBK modelling approaches towards a consensus approach that can be used in quantitative in vitro-to-in vivo extrapolation (QIVIVE) studies for regulatory chemical risk assessment based on in vitro assays. Based on results of an ECETOC expert workshop, steps are recommended that can improve regulatory adoption: (1) define context and implementation, taking into consideration model complexity for building fit-for-purpose PBK models, (2) harmonise physiological input parameters and their distribution and define criteria for quality chemical-specific parameters, especially in the absence of in vivo data, (3) apply Good Modelling Practices (GMP) to achieve transparency and design a stepwise approach for PBK model development for risk assessors, (4) evaluate model predictions using alternatives to in vivo PK data including read-across approaches, (5) use case studies to facilitate discussions between modellers and regulators of chemical risk assessment. Proof-of-concepts of generic PBK modelling approaches are published in the scientific literature at an increasing rate. Working on the previously proposed steps is, therefore, needed to gain confidence in PBK modelling approaches for regulatory use.
© 2022. The Author(s).

Entities:  

Keywords:  IVIVE; NAMs; PBK models; Regulatory acceptance; Risk assessment

Mesh:

Year:  2022        PMID: 36063173      PMCID: PMC9584981          DOI: 10.1007/s00204-022-03356-5

Source DB:  PubMed          Journal:  Arch Toxicol        ISSN: 0340-5761            Impact factor:   6.168


  99 in total

1.  In silico prediction of aqueous solubility, human plasma protein binding and volume of distribution of compounds from calculated pKa and AlogP98 values.

Authors:  Mario Lobell; Vinothini Sivarajah
Journal:  Mol Divers       Date:  2003       Impact factor: 2.943

2.  Physiologically based pharmacokinetic modelling 2: predicting the tissue distribution of acids, very weak bases, neutrals and zwitterions.

Authors:  Trudy Rodgers; Malcolm Rowland
Journal:  J Pharm Sci       Date:  2006-06       Impact factor: 3.534

Review 3.  Regulatory assessment and risk management of chemical mixtures: challenges and ways forward.

Authors:  Stephanie K Bopp; Aude Kienzler; Andrea-Nicole Richarz; Sander C van der Linden; Alicia Paini; Nikolaos Parissis; Andrew P Worth
Journal:  Crit Rev Toxicol       Date:  2019-04-01       Impact factor: 5.635

4.  IMI - Oral biopharmaceutics tools project - Evaluation of bottom-up PBPK prediction success part 4: Prediction accuracy and software comparisons with improved data and modelling strategies.

Authors:  Amais Ahmad; Xavier Pepin; Leon Aarons; Yuya Wang; Adam S Darwich; J Matthew Wood; Christer Tannergren; Eva Karlsson; Claire Patterson; Helena Thörn; Linette Ruston; Alex Mattinson; Sara Carlert; Staffan Berg; Donal Murphy; Helena Engman; Johanna Laru; Richard Barker; Talia Flanagan; Bertil Abrahamsson; Shanoo Budhdeo; Frans Franek; Andrea Moir; Gunilla Hanisch; Shriram M Pathak; David Turner; Masoud Jamei; Jonathan Brown; David Good; Shruthi Vaidhyanathan; Claire Jackson; Olivier Nicolas; Stephane Beilles; Jean-Flaubert Nguefack; Guillaume Louit; Louis Henrion; Celine Ollier; Laurent Boulu; Christine Xu; Tycho Heimbach; Xiojun Ren; Wen Lin; Anh-Thu Nguyen-Trung; Jin Zhang; Handan He; Fan Wu; Michael B Bolger; James M Mullin; Bill van Osdol; Ke Szeto; Timo Korjamo; Sari Pappinen; Johanna Tuunainen; Wei Zhu; Binfeng Xia; Pierre Daublain; Suet Wong; Manthena V S Varma; Sweta Modi; Kerstin Julia Schäfer; Kartrin Schmid; Richard Lloyd; Aarti Patel; Christophe Tistaert; Jan Bevernage; Mai Anh Nguyen; David Lindley; Robert Carr; Amin Rostami-Hodjegan
Journal:  Eur J Pharm Biopharm       Date:  2020-08-14       Impact factor: 5.571

5.  Assessing Toxicokinetic Uncertainty and Variability in Risk Prioritization.

Authors:  John F Wambaugh; Barbara A Wetmore; Caroline L Ring; Chantel I Nicolas; Robert G Pearce; Gregory S Honda; Roger Dinallo; Derek Angus; Jon Gilbert; Teresa Sierra; Akshay Badrinarayanan; Bradley Snodgrass; Adam Brockman; Chris Strock; R Woodrow Setzer; Russell S Thomas
Journal:  Toxicol Sci       Date:  2019-12-01       Impact factor: 4.849

6.  Next generation risk assessment (NGRA): Bridging in vitro points-of-departure to human safety assessment using physiologically-based kinetic (PBK) modelling - A case study of doxorubicin with dose metrics considerations.

Authors:  Hequn Li; Haitao Yuan; Alistair Middleton; Jin Li; Beate Nicol; Paul Carmichael; Jiabin Guo; Shuangqing Peng; Qiang Zhang
Journal:  Toxicol In Vitro       Date:  2021-04-10       Impact factor: 3.500

Review 7.  PBPK model reporting template for chemical risk assessment applications.

Authors:  Yu-Mei Tan; Melissa Chan; Amechi Chukwudebe; Jeanne Domoradzki; Jeffrey Fisher; C Eric Hack; Paul Hinderliter; Kota Hirasawa; Jeremy Leonard; Annie Lumen; Alicia Paini; Hua Qian; Patricia Ruiz; John Wambaugh; Fagen Zhang; Michelle Embry
Journal:  Regul Toxicol Pharmacol       Date:  2020-06-02       Impact factor: 3.271

8.  Assessment of the predictive capacity of a physiologically based kinetic model using a read-across approach.

Authors:  Alicia Paini; Andrew Worth; Sunil Kulkarni; David Ebbrell; Judith Madden
Journal:  Comput Toxicol       Date:  2021-05

9.  Basic concepts in physiologically based pharmacokinetic modeling in drug discovery and development.

Authors:  Hm Jones; K Rowland-Yeo
Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2013-08-14

10.  Applied Concepts in PBPK Modeling: How to Build a PBPK/PD Model.

Authors:  L Kuepfer; C Niederalt; T Wendl; J-F Schlender; S Willmann; J Lippert; M Block; T Eissing; D Teutonico
Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2016-10-19
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