Literature DB >> 18176885

Mode of action frameworks: a critical analysis.

Kathryn Z Guyton1, Stanley Barone, Rebecca C Brown, Susan Y Euling, Jennifer Jinot, Susan Makris.   

Abstract

Mode of action (MOA) information is increasingly being applied in human health risk assessment. The MOA can inform issues such as the relevance of observed effects in laboratory animals to humans, and the variability of response within the human population. Several collaborative groups have developed frameworks for analyzing and utilizing MOA information in human health risk assessment of environmental carcinogens and toxins, including the International Programme on Chemical Safety, International Life Sciences Institute, and U.S. Environmental Protection Agency. With the goal of identifying gaps and opportunities for progress, we critically evaluate several of these MOA frameworks. Despite continued improvement in incorporating biological data in human health risk assessment, several notable challenges remain. These include articulation of the significant role of scientific judgment in establishing an MOA and its relevance to humans. In addition, binary (yes/no) decisions can inappropriately exclude consideration of data that may nonetheless be informative to the overall assessment of risk. Indeed, the frameworks lack a broad consideration of known causes of human disease and the potential for chemical effects to act additively with these as well as endogenous background processes. No integrated analysis of the impact of multiple MOAs over the same dose range, or of varying MOAs at different life stages, is included. Separate consideration of each MOA and outcome limits understanding of how multiple metabolites, modes, and toxicity pathways contribute to the toxicological profile of the chemical. An extension of the analyses across outcomes with common modes is also needed.

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Year:  2008        PMID: 18176885     DOI: 10.1080/10937400701600321

Source DB:  PubMed          Journal:  J Toxicol Environ Health B Crit Rev        ISSN: 1093-7404            Impact factor:   6.393


  6 in total

1.  A systematic approach for identifying and presenting mechanistic evidence in human health assessments.

Authors:  Mary E Kushman; Andrew D Kraft; Kathryn Z Guyton; Weihsueh A Chiu; Susan L Makris; Ivan Rusyn
Journal:  Regul Toxicol Pharmacol       Date:  2013-08-16       Impact factor: 3.271

Review 2.  Developing and applying the adverse outcome pathway concept for understanding and predicting neurotoxicity.

Authors:  Anna Bal-Price; Pamela J Lein; Kimberly P Keil; Sunjay Sethi; Timothy Shafer; Marta Barenys; Ellen Fritsche; Magdalini Sachana; M E Bette Meek
Journal:  Neurotoxicology       Date:  2016-05-17       Impact factor: 4.294

3.  Meeting report: mode(s) of action of asbestos and related mineral fibers.

Authors:  Maureen R Gwinn; Danielle DeVoney; Annie M Jarabek; Babasaheb Sonawane; John Wheeler; David N Weissman; Scott Masten; Claudia Thompson
Journal:  Environ Health Perspect       Date:  2011-08-01       Impact factor: 9.031

4.  State-of-the-science workshop report: issues and approaches in low-dose-response extrapolation for environmental health risk assessment.

Authors:  Ronald H White; Ila Cote; Lauren Zeise; Mary Fox; Francesca Dominici; Thomas A Burke; Paul D White; Dale B Hattis; Jonathan M Samet
Journal:  Environ Health Perspect       Date:  2008-09-19       Impact factor: 9.031

Review 5.  A reexamination of the PPAR-alpha activation mode of action as a basis for assessing human cancer risks of environmental contaminants.

Authors:  Kathryn Z Guyton; Weihsueh A Chiu; Thomas F Bateson; Jennifer Jinot; Cheryl Siegel Scott; Rebecca C Brown; Jane C Caldwell
Journal:  Environ Health Perspect       Date:  2009-05-15       Impact factor: 9.031

Review 6.  Mode of action human relevance (species concordance) framework: Evolution of the Bradford Hill considerations and comparative analysis of weight of evidence.

Authors:  M E Bette Meek; Christine M Palermo; Ammie N Bachman; Colin M North; R Jeffrey Lewis
Journal:  J Appl Toxicol       Date:  2014-02-10       Impact factor: 3.446

  6 in total

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