TY - JOUR
T1 - Advancing alternatives analysis
T2 - The role of predictive toxicology in selecting safer chemical products and processes
AU - Malloy, Timothy
AU - Zaunbrecher, Virginia
AU - Beryt, Elizabeth
AU - Judson, Richard
AU - Tice, Raymond
AU - Allard, Patrick
AU - Blake, Ann
AU - Cote, Ila
AU - Godwin, Hilary
AU - Heine, Lauren
AU - Kerzic, Patrick
AU - Kostal, Jakub
AU - Marchant, Gary
AU - McPartland, Jennifer
AU - Moran, Kelly
AU - Nel, Andre
AU - Ogunseitan, Oladele
AU - Rossi, Mark
AU - Thayer, Kristina
AU - Tickner, Joel
AU - Whittaker, Margaret
AU - Zarker, Ken
N1 - Publisher Copyright:
© 2017 SETAC
PY - 2017/9
Y1 - 2017/9
N2 - 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.
AB - 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.
KW - Alternative testing strategies
KW - Alternatives analysis
KW - Alternatives assessment
KW - Predictive toxicology
KW - Regulation
UR - http://www.scopus.com/inward/record.url?scp=85019945050&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85019945050&partnerID=8YFLogxK
U2 - 10.1002/ieam.1923
DO - 10.1002/ieam.1923
M3 - Article
C2 - 28247928
AN - SCOPUS:85019945050
SN - 1551-3793
VL - 13
SP - 915
EP - 925
JO - Integrated environmental assessment and management
JF - Integrated environmental assessment and management
IS - 5
ER -