Literature DB >> 34718074

Opportunities and challenges related to saturation of toxicokinetic processes: Implications for risk assessment.

Yu-Mei Tan1, Hugh A Barton2, Alan Boobis3, Rachel Brunner1, Harvey Clewell4, Rhian Cope5, Jeffrey Dawson6, Jeanne Domoradzki7, Peter Egeghy8, Pankaj Gulati5, Brandall Ingle1, Nicole Kleinstreuer9, Kelly Lowe10, Anna Lowit10, Elizabeth Mendez10, David Miller10, Jeffrey Minucci8, James Nguyen10, Alicia Paini11, Monique Perron10, Katherine Phillips8, Hua Qian12, Tharacad Ramanarayanan13, Fiona Sewell14, Philip Villanueva10, John Wambaugh8, Michelle Embry15.   

Abstract

Top dose selection for repeated dose animal studies has generally focused on identification of apical endpoints, use of the limit dose, or determination of a maximum tolerated dose (MTD). The intent is to optimize the ability of toxicity tests performed in a small number of animals to detect effects for hazard identification. An alternative approach, the kinetically derived maximum dose (KMD), has been proposed as a mechanism to integrate toxicokinetic (TK) data into the dose selection process. The approach refers to the dose above which the systemic exposures depart from being proportional to external doses. This non-linear external-internal dose relationship arises from saturation or limitation of TK process(es), such as absorption or metabolism. The importance of TK information is widely acknowledged when assessing human health risks arising from exposures to environmental chemicals, as TK determines the amount of chemical at potential sites of toxicological responses. However, there have been differing opinions and interpretations within the scientific and regulatory communities related to the validity and application of the KMD concept. A multi-stakeholder working group, led by the Health and Environmental Sciences Institute (HESI), was formed to provide an opportunity for impacted stakeholders to address commonly raised scientific and technical issues related to this topic and, more specifically, a weight of evidence approach is recommended to inform design and dose selection for repeated dose animal studies. Commonly raised challenges related to the use of TK data for dose selection are discussed, recommendations are provided, and illustrative case examples are provided to address these challenges or refute misconceptions.
Copyright © 2021 The Authors. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Dose selection; KMD; Toxicokinetics; Weight of evidence

Mesh:

Year:  2021        PMID: 34718074      PMCID: PMC9229944          DOI: 10.1016/j.yrtph.2021.105070

Source DB:  PubMed          Journal:  Regul Toxicol Pharmacol        ISSN: 0273-2300            Impact factor:   3.598


  73 in total

Review 1.  Quantitative in vitro to in vivo extrapolation of cell-based toxicity assay results.

Authors:  Miyoung Yoon; Jerry L Campbell; Melvin E Andersen; Harvey J Clewell
Journal:  Crit Rev Toxicol       Date:  2012-06-06       Impact factor: 5.635

2.  Strategies to assess systemic exposure of chemicals in subchronic/chronic diet and drinking water studies.

Authors:  Shakil A Saghir; Alan L Mendrala; Michael J Bartels; Sue J Day; Steve C Hansen; Jacob M Sushynski; James S Bus
Journal:  Toxicol Appl Pharmacol       Date:  2005-07-22       Impact factor: 4.219

Review 3.  Agricultural chemical safety assessment: A multisector approach to the modernization of human safety requirements.

Authors:  Neil G Carmichael; Hugh A Barton; Alan R Boobis; Ralph L Cooper; Vicki L Dellarco; Nancy G Doerrer; Penelope A Fenner-Crisp; John E Doe; James C Lamb; Timothy P Pastoor
Journal:  Crit Rev Toxicol       Date:  2006-01       Impact factor: 5.635

4.  Use of in vitro data in developing a physiologically based pharmacokinetic model: Carbaryl as a case study.

Authors:  Miyoung Yoon; Gregory L Kedderis; Grace Zhixia Yan; Harvey J Clewell
Journal:  Toxicology       Date:  2014-05-24       Impact factor: 4.221

5.  Metabolic Basis for Nonlinearity in 1,3-Dichloropropene Toxicokinetics and Use in Setting a Kinetically-derived Maximum Inhalation Exposure Concentration in Mice.

Authors:  Michael J Bartels; Michael J Hackett; Matthew W Himmelstein; John W Green; Carl Walker; Claire Terry; Reza Rasoulpour; Mary Challender; Zhongyu June Yan
Journal:  Toxicol Sci       Date:  2020-03-01       Impact factor: 4.849

6.  Clinical and anatomic pathology effects of serial blood sampling in rat toxicology studies, using conventional or microsampling methods.

Authors:  Alexis Caron; Christine Lelong; T Bartels; O Dorchies; T Gury; Catherine Chalier; Véronique Benning
Journal:  Regul Toxicol Pharmacol       Date:  2015-05-29       Impact factor: 3.271

7.  A tissue composition-based algorithm for predicting tissue:air partition coefficients of organic chemicals.

Authors:  P Poulin; K Krishnan
Journal:  Toxicol Appl Pharmacol       Date:  1996-01       Impact factor: 4.219

8.  Model-Based Evaluation of Higher Doses of Rifampin Using a Semimechanistic Model Incorporating Autoinduction and Saturation of Hepatic Extraction.

Authors:  Maxwell T Chirehwa; Roxana Rustomjee; Thuli Mthiyane; Philip Onyebujoh; Peter Smith; Helen McIlleron; Paolo Denti
Journal:  Antimicrob Agents Chemother       Date:  2015-11-09       Impact factor: 5.191

9.  Profiling dose-dependent activation of p53-mediated signaling pathways by chemicals with distinct mechanisms of DNA damage.

Authors:  Rebecca A Clewell; Bin Sun; Yeyejide Adeleye; Paul Carmichael; Alina Efremenko; Patrick D McMullen; Salil Pendse; O J Trask; Andy White; Melvin E Andersen
Journal:  Toxicol Sci       Date:  2014-07-30       Impact factor: 4.849

10.  Interindividual Variation in Source-Specific Doses is a Determinant of Health Impacts of Combined Chemical Exposures.

Authors:  Paul Price
Journal:  Risk Anal       Date:  2020-07-15       Impact factor: 4.000

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  2 in total

1.  Incorporating human exposure information in a weight of evidence approach to inform design of repeated dose animal studies.

Authors:  Kelly Lowe; Jeffrey Dawson; Katherine Phillips; Jeffrey Minucci; John F Wambaugh; Hua Qian; Tharacad Ramanarayanan; Peter Egeghy; Brandall Ingle; Rachel Brunner; Elizabeth Mendez; Michelle Embry; Yu-Mei Tan
Journal:  Regul Toxicol Pharmacol       Date:  2021-10-29       Impact factor: 3.271

Review 2.  Recommendations on dose level selection for repeat dose toxicity studies.

Authors:  Fiona Sewell; Marco Corvaro; Amanda Andrus; Jonathan Burke; George Daston; Bryan Delaney; Jeanne Domoradzki; Carole Forlini; Maia Louise Green; Thomas Hofmann; Sven Jäckel; Moung Sook Lee; Michael Temerowski; Paul Whalley; Richard Lewis
Journal:  Arch Toxicol       Date:  2022-04-29       Impact factor: 6.168

  2 in total

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