TY - JOUR
T1 - The role of omics in the application of adverse outcome pathways for chemical risk assessment
AU - Brockmeier, Erica K.
AU - Hodges, Geoff
AU - Hutchinson, Thomas H.
AU - Butler, Emma
AU - Hecker, Markus
AU - Tollefsen, Knut Erik
AU - Garcia-Reyero, Natalia
AU - Kille, Peter
AU - Becker, Dörthe
AU - Chipman, Kevin
AU - Colbourne, John
AU - Collette, Timothy W.
AU - Cossins, Andrew
AU - Cronin, Mark
AU - Graystock, Peter
AU - Gutsell, Steve
AU - Knapen, Dries
AU - Katsiadaki, Ioanna
AU - Lange, Anke
AU - Marshall, Stuart
AU - Owen, Stewart F.
AU - Perkins, Edward J.
AU - Plaistow, Stewart
AU - Schroeder, Anthony
AU - Taylor, Daisy
AU - Viant, Mark
AU - Ankley, Gerald
AU - Falciani, Francesco
N1 - Publisher Copyright:
© The Author 2017. Published by Oxford University Press on behalf of the Society of Toxicology. All rights reserved.
PY - 2017/8/1
Y1 - 2017/8/1
N2 - In conjunction with the second International Environmental Omics Symposium (iEOS) conference, held at the University of Liverpool (United Kingdom) in September 2014, a workshop was held to bring together experts in toxicology and regulatory science from academia, government and industry. The purpose of the workshop was to review the specific roles that high-content omics datasets (eg, transcriptomics, metabolomics, lipidomics, and proteomics) can hold within the adverse outcome pathway (AOP) framework for supporting ecological and human health risk assessments. In light of the growing number of examples of the application of omics data in the context of ecological risk assessment, we considered how omics datasets might continue to support the AOP framework. In particular, the role of omics in identifying potential AOP molecular initiating events and providing supportive evidence of key events at different levels of biological organization and across taxonomic groups was discussed. Areas with potential for short and medium-term breakthroughs were also discussed, such as providing mechanistic evidence to support chemical read-across, providing weight of evidence information for mode of action assignment, understanding biological networks, and developing robust extrapolations of species-sensitivity. Key challenges that need to be addressed were considered, including the need for a cohesive approach towards experimental design, the lack of a mutually agreed framework to quantitatively link genes and pathways to key events, and the need for better interpretation of chemically induced changes at the molecular level. This article was developed to provide an overview of ecological risk assessment process and a perspective on how high content molecular-level datasets can support the future of assessment procedures through the AOP framework.
AB - In conjunction with the second International Environmental Omics Symposium (iEOS) conference, held at the University of Liverpool (United Kingdom) in September 2014, a workshop was held to bring together experts in toxicology and regulatory science from academia, government and industry. The purpose of the workshop was to review the specific roles that high-content omics datasets (eg, transcriptomics, metabolomics, lipidomics, and proteomics) can hold within the adverse outcome pathway (AOP) framework for supporting ecological and human health risk assessments. In light of the growing number of examples of the application of omics data in the context of ecological risk assessment, we considered how omics datasets might continue to support the AOP framework. In particular, the role of omics in identifying potential AOP molecular initiating events and providing supportive evidence of key events at different levels of biological organization and across taxonomic groups was discussed. Areas with potential for short and medium-term breakthroughs were also discussed, such as providing mechanistic evidence to support chemical read-across, providing weight of evidence information for mode of action assignment, understanding biological networks, and developing robust extrapolations of species-sensitivity. Key challenges that need to be addressed were considered, including the need for a cohesive approach towards experimental design, the lack of a mutually agreed framework to quantitatively link genes and pathways to key events, and the need for better interpretation of chemically induced changes at the molecular level. This article was developed to provide an overview of ecological risk assessment process and a perspective on how high content molecular-level datasets can support the future of assessment procedures through the AOP framework.
KW - In vitro and alternatives
KW - Methods
KW - Predictive toxicology
KW - Regulatory/policy
KW - Risk assessment
KW - Toxicogenomics
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U2 - 10.1093/toxsci/kfx097
DO - 10.1093/toxsci/kfx097
M3 - Article
C2 - 28525648
AN - SCOPUS:85028334405
SN - 1096-6080
VL - 158
SP - 252
EP - 262
JO - Toxicological Sciences
JF - Toxicological Sciences
IS - 2
M1 - kfx097
ER -