Literature DB >> 29682628

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

Gerald T Ankley1, Stephen W Edwards2.   

Abstract

The adverse outcome pathway (AOP) framework serves as a knowledge assembly, interpretation, and communication tool designed to support the translation of pathway-specific mechanistic data into responses relevant to assessing and managing risks of chemicals to human health and the environment. As such, AOPs facilitate the use of data streams often not employed by risk assessors, including information from in silico models, in vitro assays and short-term in vivo tests with molecular/biochemical endpoints. This translational capability can increase the capacity and efficiency of safety assessments both for single chemicals and chemical mixtures. Our mini-review describes the conceptual basis of the AOP framework and aspects of its current status relative to use by toxicologists and risk assessors, including four illustrative applications of the framework to diverse assessment scenarios.

Entities:  

Keywords:  Adverse Outcome Pathway; Chemical Assessment; Environment; Human Health

Year:  2018        PMID: 29682628      PMCID: PMC5906804          DOI: 10.1016/j.cotox.2018.03.004

Source DB:  PubMed          Journal:  Curr Opin Toxicol        ISSN: 2468-2020


  45 in total

Review 1.  Adverse outcome pathways: a conceptual framework to support ecotoxicology research and risk assessment.

Authors:  Gerald T Ankley; Richard S Bennett; Russell J Erickson; Dale J Hoff; Michael W Hornung; Rodney D Johnson; David R Mount; John W Nichols; Christine L Russom; Patricia K Schmieder; Jose A Serrrano; Joseph E Tietge; Daniel L Villeneuve
Journal:  Environ Toxicol Chem       Date:  2010-03       Impact factor: 3.742

2.  Adverse outcome pathways and ecological risk assessment: bridging to population-level effects.

Authors:  Vincent J Kramer; Matthew A Etterson; Markus Hecker; Cheryl A Murphy; Guritno Roesijadi; Daniel J Spade; Julann A Spromberg; Magnus Wang; Gerald T Ankley
Journal:  Environ Toxicol Chem       Date:  2011-01       Impact factor: 3.742

Review 3.  Practical approaches to adverse outcome pathway development and weight-of-evidence evaluation as illustrated by ecotoxicological case studies.

Authors:  Kellie A Fay; Daniel L Villeneuve; Carlie A LaLone; You Song; Knut Erik Tollefsen; Gerald T Ankley
Journal:  Environ Toxicol Chem       Date:  2017-03-31       Impact factor: 3.742

Review 4.  Advancing alternatives analysis: The role of predictive toxicology in selecting safer chemical products and processes.

Authors:  Timothy Malloy; Virginia Zaunbrecher; Elizabeth Beryt; Richard Judson; Raymond Tice; Patrick Allard; Ann Blake; Ila Cote; Hilary Godwin; Lauren Heine; Patrick Kerzic; Jakub Kostal; Gary Marchant; Jennifer McPartland; Kelly Moran; Andre Nel; Oladele Ogunseitan; Mark Rossi; Kristina Thayer; Joel Tickner; Margaret Whittaker; Ken Zarker
Journal:  Integr Environ Assess Manag       Date:  2017-05-21       Impact factor: 2.992

5.  Advancing the adverse outcome pathway framework-An international horizon scanning approach.

Authors:  Carlie A LaLone; Gerald T Ankley; Scott E Belanger; Michelle R Embry; Geoff Hodges; Dries Knapen; Sharon Munn; Edward J Perkins; Murray A Rudd; Daniel L Villeneuve; Maurice Whelan; Catherine Willett; Xiaowei Zhang; Markus Hecker
Journal:  Environ Toxicol Chem       Date:  2017-06       Impact factor: 3.742

6.  Linking mechanistic toxicology to population models in forecasting recovery from chemical stress: A case study from Jackfish Bay, Ontario, Canada.

Authors:  David H Miller; Joseph E Tietge; Mark E McMaster; Kelly R Munkittrick; Xiangsheng Xia; David A Griesmer; Gerald T Ankley
Journal:  Environ Toxicol Chem       Date:  2015-05-05       Impact factor: 3.742

7.  How Adverse Outcome Pathways Can Aid the Development and Use of Computational Prediction Models for Regulatory Toxicology.

Authors:  Clemens Wittwehr; Hristo Aladjov; Gerald Ankley; Hugh J Byrne; Joop de Knecht; Elmar Heinzle; Günter Klambauer; Brigitte Landesmann; Mirjam Luijten; Cameron MacKay; Gavin Maxwell; M E Bette Meek; Alicia Paini; Edward Perkins; Tomasz Sobanski; Dan Villeneuve; Katrina M Waters; Maurice Whelan
Journal:  Toxicol Sci       Date:  2016-12-19       Impact factor: 4.849

Review 8.  Application of Adverse Outcome Pathways to U.S. EPA's Endocrine Disruptor Screening Program.

Authors:  Patience Browne; Pamela D Noyes; Warren M Casey; David J Dix
Journal:  Environ Health Perspect       Date:  2017-09-01       Impact factor: 9.031

9.  Interactions between chemical and climate stressors: a role for mechanistic toxicology in assessing climate change risks.

Authors:  Michael J Hooper; Gerald T Ankley; Daniel A Cristol; Lindley A Maryoung; Pamela D Noyes; Kent E Pinkerton
Journal:  Environ Toxicol Chem       Date:  2013-01       Impact factor: 3.742

10.  Nano-risk Science: application of toxicogenomics in an adverse outcome pathway framework for risk assessment of multi-walled carbon nanotubes.

Authors:  Sarah Labib; Andrew Williams; Carole L Yauk; Jake K Nikota; Håkan Wallin; Ulla Vogel; Sabina Halappanavar
Journal:  Part Fibre Toxicol       Date:  2016-03-15       Impact factor: 9.400

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  20 in total

1.  Toward an AOP Network-Based Tiered Testing Strategy for the Assessment of Thyroid Hormone Disruption.

Authors:  Dries Knapen; Evelyn Stinckens; Jenna E Cavallin; Gerald T Ankley; Henrik Holbech; Daniel L Villeneuve; Lucia Vergauwen
Journal:  Environ Sci Technol       Date:  2020-07-09       Impact factor: 9.028

2.  Leveraging the Comparative Toxicogenomics Database to Fill in Knowledge Gaps for Environmental Health: A Test Case for Air Pollution-induced Cardiovascular Disease.

Authors:  Allan Peter Davis; Thomas C Wiegers; Cynthia J Grondin; Robin J Johnson; Daniela Sciaky; Jolene Wiegers; Carolyn J Mattingly
Journal:  Toxicol Sci       Date:  2020-10-01       Impact factor: 4.849

3.  Variability in in vivo studies: Defining the upper limit of performance for predictions of systemic effect levels.

Authors:  Ly Ly Pham; Sean Watford; Prachi Pradeep; Matthew T Martin; Russell Thomas; Richard Judson; R Woodrow Setzer; Katie Paul Friedman
Journal:  Comput Toxicol       Date:  2020-08-01

4.  Public data sources to support systems toxicology applications.

Authors:  Allan Peter Davis; Jolene Wiegers; Thomas C Wiegers; Carolyn J Mattingly
Journal:  Curr Opin Toxicol       Date:  2019-03-11

Review 5.  Adverse outcome pathways as a tool for the design of testing strategies to support the safety assessment of emerging advanced materials at the nanoscale.

Authors:  Sabina Halappanavar; Sybille van den Brule; Penny Nymark; Laurent Gaté; Carole Seidel; Sarah Valentino; Vadim Zhernovkov; Pernille Høgh Danielsen; Andrea De Vizcaya; Henrik Wolff; Tobias Stöger; Andrey Boyadziev; Sarah Søs Poulsen; Jorid Birkelund Sørli; Ulla Vogel
Journal:  Part Fibre Toxicol       Date:  2020-05-25       Impact factor: 9.400

Review 6.  Putative adverse outcome pathways for female reproductive disorders to improve testing and regulation of chemicals.

Authors:  Hanna K L Johansson; Pauliina Damdimopoulou; Majorie B M van Duursen; Julie Boberg; Delphine Franssen; Marijke de Cock; Kersti Jääger; Magdalena Wagner; Agne Velthut-Meikas; Yuling Xie; Lisa Connolly; Pauline Lelandais; Severine Mazaud-Guittot; Andres Salumets; Monica Kam Draskau; Panagiotis Filis; Paul A Fowler; Sofie Christiansen; Anne-Simone Parent; Terje Svingen
Journal:  Arch Toxicol       Date:  2020-07-07       Impact factor: 5.153

7.  Ontological approach to the knowledge systematization of a toxic process and toxic course representation framework for early drug risk management.

Authors:  Yuki Yamagata; Hiroshi Yamada
Journal:  Sci Rep       Date:  2020-09-03       Impact factor: 4.379

Review 8.  Retinoids and developmental neurotoxicity: Utilizing toxicogenomics to enhance adverse outcome pathways and testing strategies.

Authors:  Hao Chen; Megan A Chidboy; Joshua F Robinson
Journal:  Reprod Toxicol       Date:  2020-06-13       Impact factor: 3.143

9.  Organizing mechanism-related information on chemical interactions using a framework based on the aggregate exposure and adverse outcome pathways.

Authors:  Paul S Price; Annie M Jarabek; Lyle D Burgoon
Journal:  Environ Int       Date:  2020-03-24       Impact factor: 9.621

10.  Revealing Adverse Outcome Pathways from Public High-Throughput Screening Data to Evaluate New Toxicants by a Knowledge-Based Deep Neural Network Approach.

Authors:  Heather L Ciallella; Daniel P Russo; Lauren M Aleksunes; Fabian A Grimm; Hao Zhu
Journal:  Environ Sci Technol       Date:  2021-07-25       Impact factor: 11.357

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