Literature DB >> 28247928

Advancing alternatives analysis: The role of predictive toxicology in selecting safer chemical products and processes.

Timothy Malloy1,2,3, Virginia Zaunbrecher1,2, Elizabeth Beryt3, Richard Judson4, Raymond Tice5, Patrick Allard2,6, Ann Blake7, Ila Cote8, Hilary Godwin2,3, Lauren Heine9, Patrick Kerzic10, Jakub Kostal11, Gary Marchant12, Jennifer McPartland13, Kelly Moran14, Andre Nel3, Oladele Ogunseitan15, Mark Rossi16, Kristina Thayer5, Joel Tickner17, Margaret Whittaker18, Ken Zarker19.   

Abstract

Alternatives analysis (AA) is a method used in regulation and product design to identify, assess, and evaluate the safety and viability of potential substitutes for hazardous chemicals. It requires toxicological data for the existing chemical and potential alternatives. Predictive toxicology uses in silico and in vitro approaches, computational models, and other tools to expedite toxicological data generation in a more cost-effective manner than traditional approaches. The present article briefly reviews the challenges associated with using predictive toxicology in regulatory AA, then presents 4 recommendations for its advancement. It recommends using case studies to advance the integration of predictive toxicology into AA, adopting a stepwise process to employing predictive toxicology in AA beginning with prioritization of chemicals of concern, leveraging existing resources to advance the integration of predictive toxicology into the practice of AA, and supporting transdisciplinary efforts. The further incorporation of predictive toxicology into AA would advance the ability of companies and regulators to select alternatives to harmful ingredients, and potentially increase the use of predictive toxicology in regulation more broadly. Integr Environ Assess Manag 2017;13:915-925.
© 2017 SETAC. © 2017 SETAC.

Keywords:  Alternative testing strategies; Alternatives analysis; Alternatives assessment; Predictive toxicology; Regulation

Mesh:

Substances:

Year:  2017        PMID: 28247928     DOI: 10.1002/ieam.1923

Source DB:  PubMed          Journal:  Integr Environ Assess Manag        ISSN: 1551-3777            Impact factor:   2.992


  7 in total

1.  The Adverse Outcome Pathway: A Multifaceted Framework Supporting 21st Century Toxicology.

Authors:  Gerald T Ankley; Stephen W Edwards
Journal:  Curr Opin Toxicol       Date:  2018-06-01

2.  Towards better prediction of xenobiotic genotoxicity: CometChip technology coupled with a 3D model of HepaRG human liver cells.

Authors:  Audrey Barranger; Ludovic Le Hégarat
Journal:  Arch Toxicol       Date:  2022-04-13       Impact factor: 6.168

3.  Multi-Strategy Assessment of Different Uses of QSAR under REACH Analysis of Alternatives to Advance Information Transparency.

Authors:  Kazue Chinen; Timothy Malloy
Journal:  Int J Environ Res Public Health       Date:  2022-04-04       Impact factor: 3.390

Review 4.  In silico prediction of toxicity and its applications for chemicals at work.

Authors:  Kyung-Taek Rim
Journal:  Toxicol Environ Health Sci       Date:  2020-05-14

5.  Flow cytometric micronucleus assay and TGx-DDI transcriptomic biomarker analysis of ten genotoxic and non-genotoxic chemicals in human HepaRG™ cells.

Authors:  Julie K Buick; Andrew Williams; Rémi Gagné; Carol D Swartz; Leslie Recio; Stephen S Ferguson; Carole L Yauk
Journal:  Genes Environ       Date:  2020-02-04

6.  New Toxicology Tools and the Emerging Paradigm Shift in Environmental Health Decision-Making.

Authors:  Gary L Ginsberg; Kristi Pullen Fedinick; Gina M Solomon; Kevin C Elliott; John J Vandenberg; Stan Barone; John R Bucher
Journal:  Environ Health Perspect       Date:  2019-12-13       Impact factor: 9.031

7.  Drivers of and Obstacles to the Adoption of Toxicogenomics for Chemical Risk Assessment: Insights from Social Science Perspectives.

Authors:  Guillaume Pain; Gordon Hickey; Matthieu Mondou; Doug Crump; Markus Hecker; Niladri Basu; Steven Maguire
Journal:  Environ Health Perspect       Date:  2020-10-28       Impact factor: 9.031

  7 in total

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