Literature DB >> 28681680

Evolution of chemical-specific adjustment factors (CSAF) based on recent international experience; increasing utility and facilitating regulatory acceptance.

Virunya S Bhat1, M E Bette Meek2, Mathieu Valcke3,4, Caroline English1, Alan Boobis5, Richard Brown6.   

Abstract

The application of chemical-specific toxicokinetic or toxicodynamic data to address interspecies differences and human variability in the quantification of hazard has potential to reduce uncertainty and better characterize variability compared with the use of traditional default or categorically-based uncertainty factors. The present review summarizes the state-of-the-science since the introduction of the World Health Organization/International Programme on Chemical Safety (WHO/IPCS) guidance on chemical-specific adjustment factors (CSAF) in 2005 and the availability of recent applicable guidance including the WHO/IPCS guidance on physiologically-based pharmacokinetic (PBPK) modeling in 2010 as well as the U.S. EPA guidance on data-derived extrapolation factors in 2014. A summary of lessons learned from an analysis of more than 100 case studies from global regulators or published literature illustrates the utility and evolution of CSAF in regulatory decisions. Challenges in CSAF development related to the adequacy of, or confidence in, the supporting data, including verification or validation of PBPK models. The analysis also identified issues related to adequacy of CSAF documentation, such as inconsistent terminology and often limited and/or inconsistent reporting, of both supporting data and/or risk assessment context. Based on this analysis, recommendations for standardized terminology, documentation and relevant interdisciplinary research and engagement are included to facilitate the continuing evolution of CSAF development and guidance.

Entities:  

Keywords:  Chemical-specific adjustment factor; human variability; interspecies extrapolation; physiologically based pharmacokinetic modeling; toxicodynamics; toxicokinetics; uncertainty factor

Mesh:

Year:  2017        PMID: 28681680     DOI: 10.1080/10408444.2017.1303818

Source DB:  PubMed          Journal:  Crit Rev Toxicol        ISSN: 1040-8444            Impact factor:   5.635


  7 in total

1.  Integration of epidemiological findings with mechanistic evidence in regulatory pesticide risk assessment: EFSA experiences.

Authors:  Olavi Pelkonen; Susanne H Bennekou; Federica Crivellente; Andrea Terron; Antonio F Hernandez
Journal:  Arch Toxicol       Date:  2019-05-03       Impact factor: 5.153

2.  Scientific Opinion of the Scientific Panel on Plant Protection Products and their Residues (PPR Panel) on testing and interpretation of comparative in vitro metabolism studies.

Authors:  Antonio F Hernandez-Jerez; Paulien Adriaanse; Annette Aldrich; Philippe Berny; Tamara Coja; Sabine Duquesne; Andreas Focks; Marina Marinovich; Maurice Millet; Olavi Pelkonen; Silvia Pieper; Aaldrik Tiktak; Christopher J Topping; Anneli Widenfalk; Martin Wilks; Gerrit Wolterink; Ursula Gundert-Remy; Jochem Louisse; Serge Rudaz; Emanuela Testai; Alfonso Lostia; Jean-Lou Dorne; Juan Manuel Parra Morte
Journal:  EFSA J       Date:  2021-12-23

Review 3.  Model systems and organisms for addressing inter- and intra-species variability in risk assessment.

Authors:  Ivan Rusyn; Weihsueh A Chiu; Fred A Wright
Journal:  Regul Toxicol Pharmacol       Date:  2022-05-28       Impact factor: 3.598

4.  Deriving A Drinking Water Guideline for A Non-Carcinogenic Contaminant: The Case of Manganese.

Authors:  Mathieu Valcke; Marie-Hélène Bourgault; Sami Haddad; Michèle Bouchard; Denis Gauvin; Patrick Levallois
Journal:  Int J Environ Res Public Health       Date:  2018-06-20       Impact factor: 3.390

5.  Derivation of a Human In Vivo Benchmark Dose for Bisphenol A from ToxCast In Vitro Concentration Response Data Using a Computational Workflow for Probabilistic Quantitative In Vitro to In Vivo Extrapolation.

Authors:  George Loizou; Kevin McNally; Alicia Paini; Alex Hogg
Journal:  Front Pharmacol       Date:  2022-02-11       Impact factor: 5.810

6.  Distributions for time, interspecies and intraspecies extrapolation for deriving occupational exposure limits.

Authors:  Marco Dilger; Klaus Schneider; Claudia Drossard; Heidi Ott; Eva Kaiser
Journal:  J Appl Toxicol       Date:  2022-03-13       Impact factor: 3.628

7.  Investigating the state of physiologically based kinetic modelling practices and challenges associated with gaining regulatory acceptance of model applications.

Authors:  Alicia Paini; Jeremy A Leonard; Tomas Kliment; Yu-Mei Tan; Andrew Worth
Journal:  Regul Toxicol Pharmacol       Date:  2017-09-01       Impact factor: 3.271

  7 in total

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