Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/15986
Title: Adverse outcome pathway networks II: Network analytics
Authors: Villeneuve, DL
Angrish, MM
Fortin, MC
Katsiadaki, I
Leonard, M
Margiotta-Casaluci, L
Munn, S
O'Brien, JM
Pollesch, NL
Smith, LC
Zhang, X
Knapen, D
Keywords: AOP network;adverse outcome pathway;interactions;mixture toxicology;network topology;predictive toxicology;risk assessment
Issue Date: 28-Feb-2018
Publisher: Wiley on behalf of Society of Environmental Toxicology and Chemistry (SETAC)
Citation: Villeneuve, D.L. et al. (2018) 'Adverse outcome pathway networks II: Network analytics', Environmental Toxicology and Chemistry, 37 (6), pp. 1734 - 1748. doi: 10.1002/etc.4124.
Abstract: Copyright © 2018 The Authors. Toxicological responses to stressors are more complex than the simple one-biological-perturbation to one-adverse-outcome model portrayed by individual adverse outcome pathways (AOPs). Consequently, the AOP framework was designed to facilitate de facto development of AOP networks that can aid in the understanding and prediction of pleiotropic and interactive effects more common to environmentally realistic, complex exposure scenarios. The present study introduces nascent concepts related to the qualitative analysis of AOP networks. First, graph theory–based approaches for identifying important topological features are illustrated using 2 example AOP networks derived from existing AOP descriptions. Second, considerations for identifying the most significant path(s) through an AOP network from either a biological or risk assessment perspective are described. Finally, approaches for identifying interactions among AOPs that may result in additive, synergistic, or antagonistic responses (or previously undefined emergent patterns of response) are introduced. Along with a companion article (part I), these concepts set the stage for the development of tools and case studies that will facilitate more rigorous analysis of AOP networks, and the utility of AOP network-based predictions, for use in research and regulatory decision-making. The present study addresses one of the major themes identified through a Society of Environmental Toxicology and Chemistry Horizon Scanning effort focused on advancing the AOP framework.
Description: Data Availability: All data reported in the present study are available via the Supplemental Data files or from the Society for the Advancement of Adverse Outcome Pathways (2017).
Supplemental Data: The Supplemental Data are available on the Wiley Online Library at DOI: https://doi.org/10.1002/etc.4124.
DOI: https://doi.org/10.1002/etc.4124
ISSN: 1552-8618
Appears in Collections:Dept of Life Sciences Research Papers

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