Literature DB >> 28232103

Quantitative weight of evidence to assess confidence in potential modes of action.

Richard A Becker1, Vicki Dellarco2, Jennifer Seed3, Joel M Kronenberg4, Bette Meek5, Jennifer Foreman6, Christine Palermo7, Chris Kirman8, Igor Linkov9, Rita Schoeny10, Michael Dourson11, Lynn H Pottenger12, Mary K Manibusan13.   

Abstract

The evolved World Health Organization/International Programme on Chemical Safety mode of action (MOA) framework provides a structure for evaluating evidence in pathways of causally linked key events (KE) leading to adverse health effects. Although employed globally, variability in use of the MOA framework has led to different interpretations of the sufficiency of evidence in support of hypothesized MOAs. A proof of concept extension of the MOA framework is proposed for scoring confidence in the supporting data to improve scientific justification for MOA use in characterizing hazards and selecting dose-response extrapolation methods for specific chemicals. This involves selecting hypothesized MOAs, and then, for each MOA, scoring the weight of evidence (WOE) in support of causality for each KE using evolved Bradford Hill causal considerations (biological plausibility, essentiality, dose-response concordance, consistency, and analogy). This early proof of concept method is demonstrated by comparing two potential MOAs (mutagenicity and peroxisome proliferator activated receptor-alpha) for clofibrate, a rodent liver carcinogen. Quantitative confidence scoring of hypothesized MOAs is shown to be useful in characterizing the likely operative MOA. To guide method refinement and future confidence scoring for a spectrum of MOAs, areas warranting further focus and lessons learned, including the need to incorporate a narrative discussion of the weights used in the evaluation and an overall evaluation of the plausibility of the outcome, are presented.
Copyright © 2017 The Authors. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Carcinogenesis; Evidence integration; Mode of action; Risk assessment; Weight of evidence

Mesh:

Substances:

Year:  2017        PMID: 28232103     DOI: 10.1016/j.yrtph.2017.02.017

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


  7 in total

1.  Evaluating biological plausibility in supporting evidence for action through systematic reviews in public health.

Authors:  J Dailey; L Rosman; E K Silbergeld
Journal:  Public Health       Date:  2018-10-25       Impact factor: 2.427

2.  A methodology for developing key events to advance nanomaterial-relevant adverse outcome pathways to inform risk assessment.

Authors:  Sabina Halappanavar; James D Ede; Indrani Mahapatra; Harald F Krug; Eileen D Kuempel; Iseult Lynch; Rob J Vandebriel; Jo Anne Shatkin
Journal:  Nanotoxicology       Date:  2020-12-14       Impact factor: 5.913

3.  Derivation of a no-significant-risk-level for tetrabromobisphenol A based on a threshold non-mutagenic cancer mode of action.

Authors:  Alison M Pecquet; Jeanelle M Martinez; Melissa Vincent; Neeraja Erraguntla; Michael Dourson
Journal:  J Appl Toxicol       Date:  2018-02-13       Impact factor: 3.446

Review 4.  Building and Applying Quantitative Adverse Outcome Pathway Models for Chemical Hazard and Risk Assessment.

Authors:  Edward J Perkins; Roman Ashauer; Lyle Burgoon; Rory Conolly; Brigitte Landesmann; Cameron Mackay; Cheryl A Murphy; Nathan Pollesch; James R Wheeler; Anze Zupanic; Stefan Scholz
Journal:  Environ Toxicol Chem       Date:  2019-08-08       Impact factor: 3.742

Review 5.  Quantitative adverse outcome pathway (qAOP) models for toxicity prediction.

Authors:  Nicoleta Spinu; Mark T D Cronin; Steven J Enoch; Judith C Madden; Andrew P Worth
Journal:  Arch Toxicol       Date:  2020-05-18       Impact factor: 5.153

Review 6.  Ethylene Oxide: Cancer Evidence Integration and Dose-Response Implications.

Authors:  Melissa J Vincent; Jordan S Kozal; William J Thompson; Andrew Maier; G Scott Dotson; Elizabeth A Best; Kenneth A Mundt
Journal:  Dose Response       Date:  2019-12-11       Impact factor: 2.658

7.  Sedentary behavior and cardiovascular disease risk: An evolutionary perspective.

Authors:  Simon Higgins; Alexander Pomeroy; Lauren C Bates; Craig Paterson; Bethany Barone Gibbs; Herman Pontzer; Lee Stoner
Journal:  Front Physiol       Date:  2022-07-27       Impact factor: 4.755

  7 in total

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