Literature DB >> 22771339

Toxicokinetics as a key to the integrated toxicity risk assessment based primarily on non-animal approaches.

Sandra Coecke1, Olavi Pelkonen, Sofia Batista Leite, Ulrike Bernauer, Jos Gm Bessems, Frederic Y Bois, Ursula Gundert-Remy, George Loizou, Emanuela Testai, José-Manuel Zaldívar.   

Abstract

Toxicokinetics (TK) is the endpoint that informs about the penetration into and fate within the body of a toxic substance, including the possible emergence of metabolites. Traditionally, the data needed to understand those phenomena have been obtained in vivo. Currently, with a drive towards non-animal testing approaches, TK has been identified as a key element to integrate the results from in silico, in vitro and already available in vivo studies. TK is needed to estimate the range of target organ doses that can be expected from realistic human external exposure scenarios. This information is crucial for determining the dose/concentration range that should be used for in vitro testing. Vice versa, TK is necessary to convert the in vitro results, generated at tissue/cell or sub-cellular level, into dose response or potency information relating to the entire target organism, i.e. the human body (in vitro-in vivo extrapolation, IVIVE). Physiologically based toxicokinetic modelling (PBTK) is currently regarded as the most adequate approach to simulate human TK and extrapolate between in vitro and in vivo contexts. The fact that PBTK models are mechanism-based which allows them to be 'generic' to a certain extent (various extrapolations possible) has been critical for their success so far. The need for high-quality in vitro and in silico data on absorption, distribution, metabolism as well as excretion (ADME) as input for PBTK models to predict human dose-response curves is currently a bottleneck for integrative risk assessment. Crown
Copyright © 2012. Published by Elsevier Ltd. All rights reserved.

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Year:  2012        PMID: 22771339     DOI: 10.1016/j.tiv.2012.06.012

Source DB:  PubMed          Journal:  Toxicol In Vitro        ISSN: 0887-2333            Impact factor:   3.500


  35 in total

Review 1.  Challenges in working towards an internal threshold of toxicological concern (iTTC) for use in the safety assessment of cosmetics: Discussions from the Cosmetics Europe iTTC Working Group workshop.

Authors:  Corie A Ellison; Karen L Blackburn; Paul L Carmichael; Harvey J Clewell; Mark T D Cronin; Bertrand Desprez; Sylvia E Escher; Steve S Ferguson; Sébastien Grégoire; Nicola J Hewitt; Heli M Hollnagel; Martina Klaric; Atish Patel; Sabrina Salhi; Andreas Schepky; Barbara G Schmitt; John F Wambaugh; Andrew Worth
Journal:  Regul Toxicol Pharmacol       Date:  2019-01-15       Impact factor: 3.271

Review 2.  In vitro to in vivo extrapolation for high throughput prioritization and decision making.

Authors:  Shannon M Bell; Xiaoqing Chang; John F Wambaugh; David G Allen; Mike Bartels; Kim L R Brouwer; Warren M Casey; Neepa Choksi; Stephen S Ferguson; Grazyna Fraczkiewicz; Annie M Jarabek; Alice Ke; Annie Lumen; Scott G Lynn; Alicia Paini; Paul S Price; Caroline Ring; Ted W Simon; Nisha S Sipes; Catherine S Sprankle; Judy Strickland; John Troutman; Barbara A Wetmore; Nicole C Kleinstreuer
Journal:  Toxicol In Vitro       Date:  2017-12-05       Impact factor: 3.500

3.  Evaluating In Vitro-In Vivo Extrapolation of Toxicokinetics.

Authors:  John F Wambaugh; Michael F Hughes; Caroline L Ring; Denise K MacMillan; Jermaine Ford; Timothy R Fennell; Sherry R Black; Rodney W Snyder; Nisha S Sipes; Barbara A Wetmore; Joost Westerhout; R Woodrow Setzer; Robert G Pearce; Jane Ellen Simmons; Russell S Thomas
Journal:  Toxicol Sci       Date:  2018-05-01       Impact factor: 4.849

4.  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

Review 5.  A review of toxicity and mechanisms of individual and mixtures of heavy metals in the environment.

Authors:  Xiangyang Wu; Samuel J Cobbina; Guanghua Mao; Hai Xu; Zhen Zhang; Liuqing Yang
Journal:  Environ Sci Pollut Res Int       Date:  2016-03-11       Impact factor: 4.223

6.  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

7.  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.

Authors:  Abdulkarim Najjar; Ans Punt; John Wambaugh; Alicia Paini; Corie Ellison; Styliani Fragki; Enrica Bianchi; Fagen Zhang; Joost Westerhout; Dennis Mueller; Hequn Li; Quan Shi; Timothy W Gant; Phil Botham; Rémi Bars; Aldert Piersma; Ben van Ravenzwaay; Nynke I Kramer
Journal:  Arch Toxicol       Date:  2022-09-05       Impact factor: 6.168

8.  Early Metabolomic Markers of Acute Low-Dose Exposure to Uranium in Rats.

Authors:  Stéphane Grison; Baninia Habchi; Céline Gloaguen; Dimitri Kereselidze; Christelle Elie; Jean-Charles Martin; Maâmar Souidi
Journal:  Metabolites       Date:  2022-05-07

9.  Designing QSARs for Parameters of High-Throughput Toxicokinetic Models Using Open-Source Descriptors.

Authors:  Daniel E Dawson; Brandall L Ingle; Katherine A Phillips; John W Nichols; John F Wambaugh; Rogelio Tornero-Velez
Journal:  Environ Sci Technol       Date:  2021-04-15       Impact factor: 9.028

Review 10.  Modeling of interactions between xenobiotics and cytochrome P450 (CYP) enzymes.

Authors:  Hannu Raunio; Mira Kuusisto; Risto O Juvonen; Olli T Pentikäinen
Journal:  Front Pharmacol       Date:  2015-06-12       Impact factor: 5.810

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