A Systems Biology Approach to Advancing Adverse Outcome Pathways for Risk Assessment

• Corporate Author: SpringerLink (Online service)
• Other Authors: Garcia-Reyero, Natàlia (Editor, http://id.loc.gov/vocabulary/relators/edt), Murphy, Cheryl A. (Editor, http://id.loc.gov/vocabulary/relators/edt)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2018.
• Edition: 1st ed. 2018.
• Subjects: Systems biology.; Pharmacology.; Systems Biology.; Pharmacology/Toxicology.

 Social pressure to minimize the use of animal testing, the ever-increasing concern on animal welfare, and the need for more human-relevant and more predictive toxicity tests are some of the drivers for new approaches to chemical screening. This book focuses on The Adverse Outcome Pathway, an analytical construct that describes a sequential chain of causally linked events at different levels of biological organization that lead to an adverse health or ecotoxicological effect. While past efforts have focused on toxicological pathway-based vision for human and ecological health assessment relying on in vitro systems and predictive models, The Adverse Outcome Pathway framework provides a simplified and structured way to organize toxicological information. Within the book, a systems biology approach supplies the tools to infer, link, and quantify the molecular initiating events and the key events and key event relationships leading to adverse outcomes. The advancement of these tools is crucial for the successful implementation of AOPs for regulatory purposes. 

 1. Introduction -- Part I: Biology -- 2. "Non-model" species for eco and human health risk assessment -- 3.The fish embryo as a model  for eco-toxicology and other potential models -- 4.Invertebrates/Plants -- 5.Behavioral/Neurobehavioral linkages to AOPs -- 6. Species extrapolation - common pathways etc -- 7.  Life History Evolution, incorporating evolutionary processes into AOPs to extrapolate -- Part II: Incorporating Biology into AOPs -- 8.Use of HTS assays to infer MIEs -- 9. AOP development: how to infer and define KER -- 10. The development of quantitative AOPs -- Part IV: Incorporating Modeling into AOPs.-11.Computational approaches (network science, etc) in AOPs: linking molecular datasets -- 12.Computational approaches : Dynamic Energy Budgets -- 13.  Modeling approaches in AOPs: extrapolation from individual to population -- 14.  Modeling approaches that augment AOPs: GUTS, QSAR, TKTD PBTKTD -- 15.  Exposure science and other stressors? How to incorporate -- 16.  AOP as an organizing framework and implications for biological science-AOP evolution -- 17. Use and acceptance of AOPs for regulatory applications, use of AOPs in human risk assessment, and legislation. .