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Current Environmental Health Reports

, Volume 3, Issue 1, pp 53–63 | Cite as

Accelerating Adverse Outcome Pathway Development Using Publicly Available Data Sources

  • Noffisat O. Oki
  • Mark D. Nelms
  • Shannon M. Bell
  • Holly M. Mortensen
  • Stephen W. EdwardsEmail author
Mechanisms of Toxicity (CJ Mattingly, Section Editor)
Part of the following topical collections:
  1. Topical Collection on Mechanisms of Toxicity

Abstract

The adverse outcome pathway (AOP) concept links molecular perturbations with organism and population-level outcomes to support high-throughput toxicity (HTT) testing. International efforts are underway to define AOPs and store the information supporting these AOPs in a central knowledge base; however, this process is currently labor-intensive and time-consuming. Publicly available data sources provide a wealth of information that could be used to define computationally predicted AOPs (cpAOPs), which could serve as a basis for creating expert-derived AOPs in a much more efficient way. Computational tools for mining large datasets provide the means for extracting and organizing the information captured in these public data sources. Using cpAOPs as a starting point for expert-derived AOPs should accelerate AOP development. Coupling this with tools to coordinate and facilitate the expert development efforts will increase the number and quality of AOPs produced, which should play a key role in advancing the adoption of HTT testing, thereby reducing the use of animals in toxicity testing and greatly increasing the number of chemicals that can be tested.

Keywords

Adverse outcome pathways (AOPs) Computationally predicted AOPs (cpAOPs) Risk assessment Data mining Toxicity pathways 

Notes

Acknowledgments

The authors thank all the members of the AOP-KB development team for their helpful discussions and the following for feedback on an early draft of this paper: Kevin Crofton, Lyle Burgoon, Hristo Aladjov, Ed Perkins, Natalia Garcia-Reyero, and Clemens Wittwehr. They also thank Ingrid Druwe and Michelle Angrish for their helpful comments on the manuscript. The information in this document has been funded wholly (or in part) by the US Environmental Protection Agency. It has been subjected to review by the National Health and Environmental Effects Research Laboratory and approved for publication. Approval does not signify that the contents reflect the views of the agency, nor does mention of trade names or commercial products constitute endorsement or recommendation for use.

Compliance with Ethical Standards

Conflict of Interest

Noffisat Oki, Mark Nelms, Shannon Bell, Holly Mortensen, and Stephen Edwards declare that they have no conflict of interest.

Human and Animal Rights and Informed Consent

This article does not contain any studies with human or animal subjects performed by any of the authors.

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Copyright information

© Springer International Publishing AG (outside the USA) 2016

Authors and Affiliations

  • Noffisat O. Oki
    • 1
    • 2
  • Mark D. Nelms
    • 1
    • 2
  • Shannon M. Bell
    • 1
    • 2
    • 3
  • Holly M. Mortensen
    • 4
  • Stephen W. Edwards
    • 2
    Email author
  1. 1.Oak Ridge Institute for Science and EducationOak RidgeUSA
  2. 2.Integrated Systems Toxicology Division, National Health and Environmental Effects Research Laboratory, Office of Research and DevelopmentU.S. Environmental Protection AgencyResearch Triangle ParkUSA
  3. 3.ILS/Contractor Supporting the NTP Interagency Center for the Evaluation of Alternative Toxicological Methods (NICEATM)Research Triangle ParkUSA
  4. 4.Genomics Research Core, National Health and Environmental Effects Research Laboratory, Office of Research and DevelopmentU.S. Environmental Protection AgencyResearch Triangle ParkUSA

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