| Literature DB >> 28247928 |
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.Keywords: Alternative testing strategies; Alternatives analysis; Alternatives assessment; Predictive toxicology; Regulation
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Year: 2017 PMID: 28247928 DOI: 10.1002/ieam.1923
Source DB: PubMed Journal: Integr Environ Assess Manag ISSN: 1551-3777 Impact factor: 2.992