Evidence map›Paper›PMID 29492998›Full record

ArticleEnvironmental toxicology and chemistry2018

Adverse outcome pathway networks II: Network analytics.

Daniel L Villeneuve, Michelle M Angrish, Marie C Fortin, Ioanna Katsiadaki, Marc Leonard, Luigi Margiotta-Casaluci, Sharon Munn, Jason M O'Brien, Nathan L Pollesch, L Cody Smith and 2 more

Abstract read
In one paragraph

Article in Environmental toxicology and chemistry, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 65 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
65citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

65 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Unveiling toxicological adverse outcomes: toward construction and simulation of large-scale networks.Toxicological sciences : an official journal of the Society of Toxicology · 2026
    Review
  5. Article
  6. Article
  7. Review
  8. Article
  9. Review
  10. Article
  11. Article
  12. Adverse Outcome Pathways Mechanistically Describing Hepatotoxicity.Methods in molecular biology (Clifton, N.J.) · 2025
    Article
  13. Article
  14. Article
  15. Review
  16. An Overview of Adverse Outcome Pathway Links between PMEnvironment & health (Washington, D.C.) · 2024
    Review
  17. Article
  18. Article
  19. Article
  20. Article

5 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Daniel L VilleneuveUS Environmental Protection Agency, Mid-Continent Ecology Division, Duluth, Minnesota, USA.
Michelle M AngrishUS Environmental Protection Agency, National Center for Environmental Assessment, Research Triangle Park, North Carolina, USA.
Marie C FortinDepartment of Pharmacology and Toxicology, Ernest Mario School of Pharmacy, Rutgers University, Piscataway, New Jersey, USA.
Ioanna KatsiadakiCentre for Environment, Fisheries and Aquaculture Science, Weymouth, United Kingdom.
Marc LeonardL'Oréal Advanced Research, Aulnay-sous-Bois, France.
Luigi Margiotta-CasaluciInstitute of Environment, Health and Societies, Brunel University London, London, United Kingdom.
Sharon MunnJoint Research Centre, European Commission, Ispra, Italy.
Jason M O'BrienEnvironment and Climate Change Canada, National Wildlife Research Centre, Ottawa, Ontario, Canada.
Nathan L PolleschUS Environmental Protection Agency, Mid-Continent Ecology Division, Duluth, Minnesota, USA.
L Cody SmithCenter for Environmental and Human Toxicology, University of Florida, Gainesville, Florida, USA.
Xiaowei ZhangState Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing, People's Republic of China.
Dries KnapenZebrafishlab, Veterinary Physiology and Biochemistry, University of Antwerp, Wilrijk, Belgium.

Funding

Intramural EPA EPA999999
6 · The paper itself

Abstract

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. Environ Toxicol Chem 2018;37:1734-1748. © 2018 The Authors. Environmental Toxicology and Chemistry published by Wiley Periodicals, Inc. on behalf of SETAC. This article is a US government work and, as such, is in the public domain in the United States of America.

Indexed as

Adverse Outcome PathwaysAnimalsBiomedical ResearchComputer Communication NetworksEcotoxicologyHumansResearch DesignAdverse outcome pathwayAdverse outcome pathway networkInteractionsMixture toxicologyNetwork topologyPredictive toxicologyRisk assessment

Identifiers

PMID29492998
PMCPMC6010347

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.