Literature DB >> 26537250

Adverse Outcome Pathways-Organizing Toxicological Information to Improve Decision Making.

Stephen W Edwards1, Yu-Mei Tan2, Daniel L Villeneuve2, M E Meek2, Charlene A McQueen2.   

Abstract

The number of chemicals for which environmental regulatory decisions are required far exceeds the current capacity for toxicity testing. High-throughput screening commonly used for drug discovery has the potential to increase this capacity. The adverse outcome pathway (AOP) concept has emerged as a framework for connecting high-throughput toxicity testing (HTT) and other results to potential impacts on human and wildlife populations. As a result of international efforts, the AOP development process is now well-defined and efforts are underway to broaden the participation through outreach and training. One key principle is that AOPs represent the chemical-agnostic portions of pathways to increase the generalizability of their application from early key events to overt toxicity. The closely related mode of action framework extends the AOP as needed when evaluating the potential risk of a specific chemical. This in turn enables integrated approaches to testing and assessment (IATA), which incorporate results of assays at various levels of biologic organization such as in silico; HTT; chemical-specific aspects including absorption, distribution, metabolism, and excretion (ADME); and an AOP describing the biologic basis of toxicity. Thus, it is envisaged that provision of limited information regarding both the AOP for critical effects and the ADME for any chemical associated with any adverse outcome would allow for the development of IATA and permit more detailed AOP and ADME research, where higher precision is needed based on the decision context. U.S. Government work not protected by U.S. copyright.

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Year:  2015        PMID: 26537250     DOI: 10.1124/jpet.115.228239

Source DB:  PubMed          Journal:  J Pharmacol Exp Ther        ISSN: 0022-3565            Impact factor:   4.030


  52 in total

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Journal:  Toxicol Sci       Date:  2018-06-01       Impact factor: 4.849

2.  A Set of Six Gene Expression Biomarkers Identify Rat Liver Tumorigens in Short-term Assays.

Authors:  J Christopher Corton; Thomas Hill; Jeffrey J Sutherland; James L Stevens; John Rooney
Journal:  Toxicol Sci       Date:  2020-09-01       Impact factor: 4.849

Review 3.  Progress in data interoperability to support computational toxicology and chemical safety evaluation.

Authors:  Sean Watford; Stephen Edwards; Michelle Angrish; Richard S Judson; Katie Paul Friedman
Journal:  Toxicol Appl Pharmacol       Date:  2019-08-09       Impact factor: 4.219

4.  Integration of epidemiological findings with mechanistic evidence in regulatory pesticide risk assessment: EFSA experiences.

Authors:  Olavi Pelkonen; Susanne H Bennekou; Federica Crivellente; Andrea Terron; Antonio F Hernandez
Journal:  Arch Toxicol       Date:  2019-05-03       Impact factor: 5.153

Review 5.  From the exposome to mechanistic understanding of chemical-induced adverse effects.

Authors:  Beate I Escher; Jörg Hackermüller; Tobias Polte; Stefan Scholz; Achim Aigner; Rolf Altenburger; Alexander Böhme; Stephanie K Bopp; Werner Brack; Wibke Busch; Marc Chadeau-Hyam; Adrian Covaci; Adolf Eisenträger; James J Galligan; Natalia Garcia-Reyero; Thomas Hartung; Michaela Hein; Gunda Herberth; Annika Jahnke; Jos Kleinjans; Nils Klüver; Martin Krauss; Marja Lamoree; Irina Lehmann; Till Luckenbach; Gary W Miller; Andrea Müller; David H Phillips; Thorsten Reemtsma; Ulrike Rolle-Kampczyk; Gerrit Schüürmann; Benno Schwikowski; Yu-Mei Tan; Saskia Trump; Susanne Walter-Rohde; John F Wambaugh
Journal:  Environ Int       Date:  2016-12-08       Impact factor: 9.621

Review 6.  Cumulative effects of antiandrogenic chemical mixtures and their relevance to human health risk assessment.

Authors:  Kembra L Howdeshell; Andrew K Hotchkiss; L Earl Gray
Journal:  Int J Hyg Environ Health       Date:  2016-11-19       Impact factor: 5.840

7.  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

Review 8.  Alternative approaches for identifying acute systemic toxicity: Moving from research to regulatory testing.

Authors:  Jon Hamm; Kristie Sullivan; Amy J Clippinger; Judy Strickland; Shannon Bell; Barun Bhhatarai; Bas Blaauboer; Warren Casey; David Dorman; Anna Forsby; Natàlia Garcia-Reyero; Sean Gehen; Rabea Graepel; Jon Hotchkiss; Anna Lowit; Joanna Matheson; Elissa Reaves; Louis Scarano; Catherine Sprankle; Jay Tunkel; Dan Wilson; Menghang Xia; Hao Zhu; David Allen
Journal:  Toxicol In Vitro       Date:  2017-01-06       Impact factor: 3.500

9.  Application of a combined aggregate exposure pathway and adverse outcome pathway (AEP-AOP) approach to inform a cumulative risk assessment: A case study with phthalates.

Authors:  Rebecca A Clewell; Jeremy A Leonard; Chantel I Nicolas; Jerry L Campbell; Miyoung Yoon; Alina Y Efremenko; Patrick D McMullen; Melvin E Andersen; Harvey J Clewell; Katherine A Phillips; Yu-Mei Tan
Journal:  Toxicol In Vitro       Date:  2020-04-08       Impact factor: 3.500

10.  Conceptual Framework To Extend Life Cycle Assessment Using Near-Field Human Exposure Modeling and High-Throughput Tools for Chemicals.

Authors:  Susan A Csiszar; David E Meyer; Kathie L Dionisio; Peter Egeghy; Kristin K Isaacs; Paul S Price; Kelly A Scanlon; Yu-Mei Tan; Kent Thomas; Daniel Vallero; Jane C Bare
Journal:  Environ Sci Technol       Date:  2016-10-18       Impact factor: 9.028

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