| Literature DB >> 25466379 |
Daniel L Villeneuve1, Doug Crump2, Natàlia Garcia-Reyero2, Markus Hecker2, Thomas H Hutchinson2, Carlie A LaLone3, Brigitte Landesmann4, Teresa Lettieri4, Sharon Munn4, Malgorzata Nepelska4, Mary Ann Ottinger4, Lucia Vergauwen2, Maurice Whelan4.
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. Published by Oxford University Press on behalf of the Society of Toxicology 2014. This work is written by a US Government employees and is in the public domain in the US.Keywords: adverse outcome pathway; extrapolation; knowledgebase; predictive toxicology; regulatory toxicology
Mesh:
Year: 2014 PMID: 25466379 PMCID: PMC4318924 DOI: 10.1093/toxsci/kfu200
Source DB: PubMed Journal: Toxicol Sci ISSN: 1096-0929 Impact factor: 4.849