The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Adverse Outcome Pathway (AOP) Development I: Strategies and Principles
Open accessAbstract
An adverse outcome pathway (AOP) is a conceptual framework that organizes existing knowledge concerning biologically plausible, and empirically supported, links between molecular-level perturbation of a biological system and an adverse outcome at a level of biological organization of regulatory relevance. Systematic organization of information into AOP frameworks has potential to improve regulatory decision-making through greater integration and more meaningful use of mechanistic data. However, for the scientific community to collectively develop a useful AOP knowledgebase that encompasses toxicological contexts of concern to human health and ecological risk assessment, it is critical that AOPs be developed in accordance with a consistent set of core principles. Based on the experiences and scientific discourse among a group of AOP practitioners, we propose a set of five fundamental principles that guide AOP development: (1) AOPs are not chemical specific; (2) AOPs are modular and composed of reusable components-notably key events (KEs) and key event relationships (KERs); (3) an individual AOP, composed of a single sequence of KEs and KERs, is a pragmatic unit of AOP development and evaluation; (4) networks composed of multiple AOPs that share common KEs and KERs are likely to be the functional unit of prediction for most real-world scenarios; and (5) AOPs are living documents that will evolve over time as new knowledge is generated. The goal of the present article was to introduce some strategies for AOP development and detail the rationale behind these 5 key principles. Consideration of these principles addresses many of the current uncertainties regarding the AOP framework and its application and is intended to foster greater consistency in AOP development.
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.
Integrity signals
Registry
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.
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
Bow ties, metabolism and disease
Csete, M., & Doyle, J. (2004) · Trends in biotechnology · doi:10.1016/j.tibtech.2004.07.007 · Cited by 468
Research works printed but not linked: 22
- 10.1016/j.aquatox.2009.01.013 · DOI · Paper page
- 10.1002/etc.34 · DOI · Paper page
- 10.1080/10408440600977677 · DOI
- 10.1080/10408440701749421 · DOI
- 10.1021/es040675s · DOI
- 10.1111/j.1365-2605.2007.00857.x · DOI
- 10.1021/es2043992 · DOI
- 10.1016/j.tox.2014.02.001 · DOI
- 10.1002/bdrc.20223 · DOI
- 10.1080/10937404.2010.483176 · DOI
- 10.1002/jat.2949 · DOI
- OECD. (2011). Report of the workshop on using mechanistic information in forming chemical categories. Demcember 8–10, 2010, Crystal City, VA, USA. In Series on Testing and Assessment No. 138, Vol. ENV/JM/MONO(2011)8, p. 176. Organisation for Economic Cooperation and Devleopment, Environment Directorate Paris, France.
- 10.1186/1756-0381-4-10 · DOI
- 10.1002/etc.374 · DOI
- 10.1002/etc.2662 · DOI
- 10.1021/es0495314 · DOI
- 10.1016/j.vascn.2014.01.007 · DOI
- 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
- 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 II: best practices. Toxicol. Sci. (this issue). · DOI · Paper page
- Villeneuve, 2013, Investigating alternatives to the fish early life-stage test: a strategy for discovering and annotating adverse outcome pathways for early fish development, Environ. Toxicol. Chem., 33, 158, 10.1002/etc.2403 · DOI
- 10.1093/toxsci/kfr185 · DOI
- 10.1016/j.taap.2013.04.032 · DOI
Cited by
Adverse outcome pathways: opportunities, limitations and open questions
Leist, M., Ghallab, A., Graepel, R., Marchan, R., Hassan, R., Bennekou, S. H., Limonciel, A., Vinken, M., Schildknecht, S., Waldmann, T., et al. (2017) · Archives of Toxicology · doi:10.1007/s00204-017-2045-3 · Cited by 394
Halappanavar, S., van den Brule, S., Nymark, P., Gaté, L., Seidel, C., Valentino, S., Zhernovkov, V., Høgh Danielsen, P., De Vizcaya, A., Wolff, H., et al. (2020) · Particle and Fibre Toxicology · doi:10.1186/s12989-020-00344-4 · Cited by 246
Wittwehr, C., Aladjov, H., Ankley, G., Byrne, H. J., de Knecht, J., Heinzle, E., Klambauer, G., Landesmann, B., Luijten, M., MacKay, C., et al. (2017) · Toxicological Sciences · doi:10.1093/toxsci/kfw207 · Cited by 161
Self-citationMembers, E. W. E., Terron, A., Bal-Price, A., Paini, A., Monnet-Tschudi, F., Bennekou, S. H., Leist, M., & Schildknecht, S. (2018) · Archives of Toxicology · doi:10.1007/s00204-017-2133-4 · Cited by 124
Putative adverse outcome pathways relevant to neurotoxicity
Bal-Price, A., Crofton, K. M., Sachana, M., Shafer, T. J., Behl, M., Forsby, A., Hargreaves, A., Landesmann, B., Lein, P. J., Louisse, J., et al. (2015) · Critical Reviews in Toxicology · doi:10.3109/10408444.2014.981331 · Cited by 114
Self-citation
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
- Publisher
- Oxford University Press (OUP)
- Published
- 2014-12
- Volume
- 142
- Issue
- 2
- Pages
- 312-320
- ISSN
- 1096-0929 (ISSN-L)
- 1096-6080
- OpenAlex
- W2313757172
- Cited by
- 728
- References
- 1
- FWCI
- 62.27
- 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
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.