000205300 001__ 205300
000205300 005__ 20180913062958.0
000205300 0247_ $$2doi$$a10.1016/j.chemosphere.2014.09.068
000205300 022__ $$a0045-6535
000205300 02470 $$2ISI$$a000348003200104
000205300 037__ $$aARTICLE
000205300 245__ $$aDevelopment and application of the adverse outcome pathway framework for understanding and predicting chronic toxicity: I. Challenges and research needs in ecotoxicology
000205300 260__ $$bPergamon-Elsevier Science Ltd$$c2015$$aOxford
000205300 269__ $$a2015
000205300 300__ $$a14
000205300 336__ $$aReviews
000205300 520__ $$aTo elucidate the effects of chemicals on populations of different species in the environment, efficient testing and modeling approaches are needed that consider multiple stressors and allow reliable extrapolation of responses across species. An adverse outcome pathway (AOP) is a concept that provides a framework for organizing knowledge about the progression of toxicity events across scales of biological organization that lead to adverse outcomes relevant for risk assessment. In this paper, we focus on exploring how the AOP concept can be used to guide research aimed at improving both our understanding of chronic toxicity, including delayed toxicity as well as epigenetic and transgenerational effects of chemicals, and our ability to predict adverse outcomes. A better understanding of the influence of subtle toxicity on individual and population fitness would support a broader integration of sublethal endpoints into risk assessment frameworks. Detailed mechanistic knowledge would facilitate the development of alternative testing methods as well as help prioritize higher tier toxicity testing. We argue that targeted development of AOPs supports both of these aspects by promoting the elucidation of molecular mechanisms and their contribution to relevant toxicity outcomes across biological scales. We further discuss information requirements and challenges in application of AOPs for chemical- and site-specific risk assessment and for extrapolation across species. We provide recommendations for potential extension of the AOP framework to incorporate information on exposure, toxicokinetics and situation-specific ecological contexts, and discuss common interfaces that can be employed to couple AOPs with computational modeling approaches and with evolutionary life history theory. The extended AOP framework can serve as a venue for integration of knowledge derived from various sources, including empirical data as well as molecular, quantitative and evolutionary-based models describing species responses to toxicants. This will allow a more efficient application of AOP knowledge for quantitative chemical- and site-specific risk assessment as well as for extrapolation across species in the future. (c) 2014 The Authors. Published by Elsevier Ltd.
000205300 6531_ $$aAdverse Outcome Pathway (AOP)
000205300 6531_ $$aEcotoxicological risk assessment
000205300 6531_ $$aChronic toxicity
000205300 6531_ $$aToxicokinetics
000205300 6531_ $$aExtrapolation from individual to population
000205300 6531_ $$aCross-species extrapolation
000205300 700__ $$uEawag, Swiss Fed Inst Aquat Sci & Technol, CH-8600 Dubendorf, Switzerland$$aGroh, Ksenia J.
000205300 700__ $$uCommiss European Communities, Joint Res Ctr, Inst Environm & Sustainabil, Water Resources Unit, I-21027 Ispra, Italy$$aCarvalho, Raquel N.
000205300 700__ $$uUniv Birmingham, Birmingham B15 2TT, W Midlands, England$$aChipman, James K.
000205300 700__ $$uUniv Florida, Dept Physiol Sci, Ctr Environm & Human Toxicol, Gainesville, FL 32611 USA$$aDenslow, Nancy D.
000205300 700__ $$uCommiss European Communities, Joint Res Ctr, Inst Hlth & Consumer Protect, Syst Toxicol Unit, I-21027 Ispra, Italy$$aHalder, Marlies
000205300 700__ $$uMichigan State Univ, Lyman Briggs Coll, E Lansing, MI 48824 USA$$aMurphy, Cheryl A.
000205300 700__ $$uVrije Univ Amsterdam, Inst Ecol Sci, NL-1081 HV Amsterdam, Netherlands$$aRoelofs, Dick
000205300 700__ $$uCommiss European Communities, Joint Res Ctr, Inst Hlth & Consumer Protect, Syst Toxicol Unit, I-21027 Ispra, Italy$$aRolaki, Alexandra
000205300 700__ $$0245915$$g205918$$uEawag, Swiss Fed Inst Aquat Sci & Technol, CH-8600 Dubendorf, Switzerland$$aSchirmer, Kristin
000205300 700__ $$aWatanabe, Karen H.
000205300 773__ $$j120$$tChemosphere$$q764-777
000205300 909C0 $$xU10265$$0252432$$pIIE
000205300 909CO $$preview$$pENAC$$ooai:infoscience.tind.io:205300
000205300 937__ $$aEPFL-REVIEW-205300
000205300 973__ $$rREVIEWED$$sPUBLISHED$$aEPFL
000205300 980__ $$aREVIEW