Literature DB >> 21803110

Hypothesis-driven weight of evidence framework for evaluating data within the US EPA's Endocrine Disruptor Screening Program.

Christopher J Borgert1, Ellen M Mihaich, Lisa S Ortego, Karin S Bentley, Catherine M Holmes, Steven L Levine, Richard A Becker.   

Abstract

"Weight of Evidence" (WoE) approaches are often used to critically examine, prioritize, and integrate results from different types of studies to reach general conclusions. For assessing hormonally active agents, WoE evaluations are necessary to assess screening assays that identify potential interactions with components of the endocrine system, long-term reproductive and developmental toxicity tests that define adverse effects, mode of action studies aimed at identifying toxicological pathways underlying adverse effects, and toxicity, exposure and pharmacokinetic data to characterize potential risks. We describe a hypothesis-driven WoE approach for hormonally active agents and illustrate the approach by constructing hypotheses for testing the premise that a substance interacts as an agonist or antagonist with components of estrogen, androgen, or thyroid pathways or with components of the aromatase or steroidogenic enzyme systems for evaluating data within the US EPA's Endocrine Disruptor Screening Program. Published recommendations are used to evaluate data validity for testing each hypothesis and quantitative weightings are proposed to reflect two data parameters. Relevance weightings should be derived for each endpoint to reflect the degree to which it probes each specific hypothesis. Response weightings should be derived based on assay results from the test substance compared to the range of responses produced in the assay by the appropriate prototype hormone and positive and negative controls. Overall WoE scores should be derived based on response and relevance weightings and a WoE narrative developed to clearly describe the final determinations.
Copyright © 2011 Elsevier Inc. All rights reserved.

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Year:  2011        PMID: 21803110     DOI: 10.1016/j.yrtph.2011.07.007

Source DB:  PubMed          Journal:  Regul Toxicol Pharmacol        ISSN: 0273-2300            Impact factor:   3.271


  8 in total

Review 1.  A critique of the European Commission document, "State of the Art Assessment of Endocrine Disrupters".

Authors:  Lorenz R Rhomberg; Julie E Goodman; Warren G Foster; Christopher J Borgert; Glen Van Der Kraak
Journal:  Crit Rev Toxicol       Date:  2012-05-26       Impact factor: 5.635

2.  Information Quality in Regulatory Decision Making: Peer Review versus Good Laboratory Practice.

Authors:  Lynn S McCarty; Christopher J Borgert; Ellen M Mihaich
Journal:  Environ Health Perspect       Date:  2012-02-17       Impact factor: 9.031

Review 3.  Agrochemicals with estrogenic endocrine disrupting properties: Lessons Learned?

Authors:  Laura N Vandenberg; Aimal Najmi; Joshua P Mogus
Journal:  Mol Cell Endocrinol       Date:  2020-05-12       Impact factor: 4.369

4.  Data disclosure for chemical evaluations.

Authors:  Randall Lutter; Craig Barrow; Christopher J Borgert; James W Conrad; Debra Edwards; Allan Felsot
Journal:  Environ Health Perspect       Date:  2012-12-11       Impact factor: 9.031

5.  Key lessons from performance of the U.S. EPA Endocrine Disruptor Screening Program (EDSP) Tier 1 male and female pubertal assays.

Authors:  Donald G Stump; John C O'Connor; Joseph M Lewis; M Sue Marty
Journal:  Birth Defects Res B Dev Reprod Toxicol       Date:  2014-02-07

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

7.  Does GLP enhance the quality of toxicological evidence for regulatory decisions?

Authors:  Christopher J Borgert; Richard A Becker; Betsy D Carlton; Mark Hanson; Patricia L Kwiatkowski; Mary Sue Marty; Lynn S McCarty; Terry F Quill; Keith Solomon; Glen Van Der Kraak; Raphael J Witorsch; Kun Don Yi
Journal:  Toxicol Sci       Date:  2016-05-05       Impact factor: 4.849

8.  Human-relevant potency threshold (HRPT) for ERα agonism.

Authors:  Christopher J Borgert; John C Matthews; Stephen P Baker
Journal:  Arch Toxicol       Date:  2018-04-09       Impact factor: 5.153

  8 in total

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