Literature DB >> 20394791

Use of read-across and tiered exposure assessment in risk assessment under REACH--a case study on a phase-in substance.

S R Vink1, J Mikkers, T Bouwman, H Marquart, E D Kroese.   

Abstract

REACH requests the exploration of alternative strategies for hazard identification before resorting to (in vivo) testing. Here, we combined read-across as non-testing strategy with a tiered exposure assessment for the risk characterisation of 1-methoxypropan-2-ol (PGME) as a representative for phase-in substances to be registered under REACH. Read-across from the selected source substances provided data which were comparable with experimental data available for target substance PGME, resulting in a realistic starting point for both qualitative and quantitative risk assessment. Greater variability was observed in the exposure estimates from a first Tier model (ECETOC TRA) or less conservative further Tier models (Stoffenmanager; RISKOFDERM), when these results were compared with results from a data-rich approach using measured data. When safe use of chemicals cannot be demonstrated with these approaches, refinement can be introduced in the estimation of hazard and exposure, or both. In view of the variability associated with exposure modeling, it may often add more value to invest in realistic exposure data than in toxicity studies, apart from animal welfare considerations. Copyright (c) 2010 Elsevier Inc. All rights reserved.

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Year:  2010        PMID: 20394791     DOI: 10.1016/j.yrtph.2010.04.004

Source DB:  PubMed          Journal:  Regul Toxicol Pharmacol        ISSN: 0273-2300            Impact factor:   3.271


  11 in total

1.  Evaluation of Exposure Assessment Tools under REACH: Part II-Higher Tier Tools.

Authors:  Eun Gyung Lee; Judith Lamb; Nenad Savic; Ioannis Basinas; Bojan Gasic; Christian Jung; Michael L Kashon; Jongwoon Kim; Martin Tischer; Martie van Tongeren; David Vernez; Martin Harper
Journal:  Ann Work Expo Health       Date:  2019-02-16       Impact factor: 2.179

2.  Evaluation of Exposure Assessment Tools under REACH: Part I-Tier 1 Tools.

Authors:  Eun Gyung Lee; Judith Lamb; Nenad Savic; Ioannis Basinas; Bojan Gasic; Christian Jung; Michael L Kashon; Jongwoon Kim; Martin Tischer; Martie van Tongeren; David Vernez; Martin Harper
Journal:  Ann Work Expo Health       Date:  2019-02-16       Impact factor: 2.179

3.  Computational Modeling of Mixture Toxicity.

Authors:  Mainak Chatterjee; Kunal Roy
Journal:  Methods Mol Biol       Date:  2022

Review 4.  Validity of Tier 1 Modelling Tools and Impacts on Exposure Assessments within REACH Registrations-ETEAM Project, Validation Studies and Consequences.

Authors:  Urs Schlueter; Martin Tischer
Journal:  Int J Environ Res Public Health       Date:  2020-06-26       Impact factor: 3.390

Review 5.  Using exposure bands for rapid decision making in the RISK21 tiered exposure assessment.

Authors:  M Dellarco; R Zaleski; B J Gaborek; H Qian; C A Bellin; P Egeghy; N Heard; O Jolliet; D R Lander; N Sunger; K S Stylianou; J Y Tanir
Journal:  Crit Rev Toxicol       Date:  2017-02-10       Impact factor: 5.635

6.  Systematic evidence maps as a novel tool to support evidence-based decision-making in chemicals policy and risk management.

Authors:  Taylor A M Wolffe; Paul Whaley; Crispin Halsall; Andrew A Rooney; Vickie R Walker
Journal:  Environ Int       Date:  2019-06-26       Impact factor: 9.621

Review 7.  In silico toxicology: computational methods for the prediction of chemical toxicity.

Authors:  Arwa B Raies; Vladimir B Bajic
Journal:  Wiley Interdiscip Rev Comput Mol Sci       Date:  2016-01-06

8.  Transcriptional Responses Reveal Similarities Between Preclinical Rat Liver Testing Systems.

Authors:  Zhichao Liu; Brian Delavan; Ruth Roberts; Weida Tong
Journal:  Front Genet       Date:  2018-03-20       Impact factor: 4.599

9.  Comparison between Communicated and Calculated Exposure Estimates Obtained through Three Modeling Tools.

Authors:  Andrea Spinazzè; Francesca Borghi; Daniele Magni; Costanza Rovida; Monica Locatelli; Andrea Cattaneo; Domenico Maria Cavallo
Journal:  Int J Environ Res Public Health       Date:  2020-06-11       Impact factor: 3.390

10.  How to Obtain a Reliable Estimate of Occupational Exposure? Review and Discussion of Models' Reliability.

Authors:  Andrea Spinazzè; Francesca Borghi; Davide Campagnolo; Sabrina Rovelli; Marta Keller; Giacomo Fanti; Andrea Cattaneo; Domenico Maria Cavallo
Journal:  Int J Environ Res Public Health       Date:  2019-08-02       Impact factor: 3.390

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