Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 255

The DOI matches its Crossref record.

Adverse Outcome Pathway Development II: Best Practices

Open access
Villeneuve, Daniel L., Crump, Doug, Garcia-Reyero, Natàlia, Hecker, Markus, Hutchinson, Thomas H., LaLone, Carlie A., Landesmann, Brigitte, Lettieri, Teresa, Munn, Sharon, Nepelska, Malgorzata, Ottinger, Mary Ann, Vergauwen, Lucia, Whelan, Maurice·2014·Toxicological Sciences

Abstract

Organization of existing and emerging toxicological knowledge into adverse outcome pathway (AOP) descriptions can facilitate greater application of mechanistic data, including those derived through high-throughput in vitro, high content omics and imaging, and biomarker approaches, in risk-based decision making. The previously ad hoc process of AOP development is being formalized through development of internationally harmonized guidance and principles. The goal of this article was to outline the information content desired for formal AOP description and some rules of thumb and best practices intended to facilitate reuse and connectivity of elements of an AOP description in a knowledgebase and network context. For example, key events (KEs) are measurements of change in biological state that are indicative of progression of a perturbation toward a specified adverse outcome. Best practices for KE description suggest that each KE should be defined as an independent measurement made at a particular level of biological organization. The concept of "functional equivalence" can help guide both decisions about how many KEs to include in an AOP and the specificity with which they are defined. Likewise, in describing both KEs and evidence that supports a causal linkage or statistical association between them (ie, a key event relationship; KER), best practice is to build from and contribute to existing KE or KER descriptions in the AOP knowledgebase rather than creating redundant descriptions. The best practices proposed address many of the challenges and uncertainties related to AOP development and help promote a consistent and reliable, yet flexible approach.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1093/toxsci/kfu200

Cites

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

No references could be resolved yet.

Research works printed but not linked: 26

  1. 10.1002/etc.34 · DOI · Paper page
  2. 10.1897/1551-5028(2003)022<1350:EOTAGP>2.0.CO;2 · DOI
  3. 10.1002/etc.2151 · DOI
  4. Boekelheide, 2010, A mechanistic redefinition of adverse effects—a key step in the toxicity testing paradigm shift, Altex, 27, 243, 10.14573/altex.2010.4.243 · DOI
  5. 10.1093/toxsci/kfp307 · DOI
  6. 10.1080/10408440600977677 · DOI
  7. 10.1080/10408440701749421 · DOI
  8. 10.1002/etc.382 · DOI
  9. 10.1074/mcp.M113.032953 · DOI
  10. 10.1016/j.aquatox.2011.06.008 · DOI
  11. 10.1021/es8005173 · DOI
  12. Hutchinson, 2006, Screening and testing for endocrine disruption in fish-biomarkers as “signposts,” not “traffic lights,” in risk assessment, Environ. Health Perspect., 114, 106, 10.1289/ehp.8062 · DOI
  13. 10.1021/tx7002239 · DOI · Paper page
  14. 10.1080/10937404.2010.483176 · DOI
  15. LaLone, 2013, Molecular target sequence similarity as a basis for species extrapolation to assess the ecological risk of chemicals with known modes of action, Aquat. Toxicol., 144–145, 141, 10.1016/j.aquatox.2013.09.004 · DOI
  16. LaLone, 2013, Cross-species sensitivity to a novel androgen receptor agonist of potential environmental concern, spironolactone, Environ. Toxicol. Chem., 32, 2528, 10.1002/etc.2330 · DOI
  17. 10.1021/es404568a · DOI
  18. 10.1002/jat.2949 · DOI
  19. 10.1016/j.marenvres.2013.07.006 · DOI · Paper page
  20. 10.1002/etc.2662 · DOI
  21. Schultz T. W. (1989). Non-polar narcosis: a review of the mechanism of action for baseline aquatic toxicity. In ( Cowgill U. M. Williams L. R. , Eds.), American Society for Testing and Materials, Philadelphia, PA.
  22. 10.1021/cr100098n · DOI
  23. 10.1016/j.ygcen.2005.03.007 · DOI
  24. 10.1016/j.jecm.2013.10.009 · DOI
  25. Tollefsen K. E. Scholz S. Cronin M. T. Edwards S. W. de Knecht J. Crofton K. Garcia-Reyero N. Hartung T. Worth A. Patlewicz G . (2014). Applying adverse outcome pathways (AOPs) to support integrated approaches to testing and assessment (IATA). Reg. Toxicol. Pharmacol. (in press). · DOI · Paper page
  26. Villeneuve D. L. Crump D. Garcia-Reyero N. Hecker M. Hutchinson T. H. LaLone C. A. Landesmann B. Lettieri T. Munn S. Nepelska M. . (2014). Adverse outcome pathway (AOP) development I: strategies and principles. Toxicol. Sci. (this issue). · DOI · Paper page

Cited by

See all 255

Metadata

Authors
Villeneuve, D. L., Crump, D., Garcia-Reyero, N., Hecker, M., Hutchinson, T. H., LaLone, C. A., Landesmann, B., Lettieri, T., Munn, S., Nepelska, M., Ottinger, M. A., Vergauwen, L., & Whelan, M.
Venue
Toxicological Sciences
Published
2014-12
Volume
142
Issue
2
Pages
321-330
ISSN
  • 1096-0929 (ISSN-L)
  • 1096-6080
OpenAlex
W2120819444
Cited by
255
References
0
FWCI
34.74
Type
journal article
Language
en
Open access
green

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Adverse Outcome Pathway Development II: Best Practices. https://app.cochat.ai/papers/10.1093/toxsci/kfu200
The paper
Villeneuve, D. L., Crump, D., Garcia-Reyero, N., Hecker, M., Hutchinson, T. H., LaLone, C. A., Landesmann, B., Lettieri, T., Munn, S., Nepelska, M., Ottinger, M. A., Vergauwen, L., & Whelan, M. (2014). Adverse Outcome Pathway Development II: Best Practices. Toxicological Sciences. https://doi.org/10.1093/toxsci/kfu200

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.