Linking adverse outcome pathways to dynamic energy budgets: A conceptual model

Cheryl A. Murphy, Roger M. Nisbet, Philipp Antczak, Natàlia Garcia-Reyero, Andre Gergs, Konstadia Lika, Teresa Mathews, Erik B. Muller, Diane Nacci, Angela Peace, Christopher H. Remien, Irvin R. Schultz, Karen Watanabe-Sailor

    Research output: Chapter in Book/Report/Conference proceedingChapter

    1 Citation (Scopus)

    Abstract

    Ecological risk assessment quantifies the likelihood of undesirable impacts of stressors, primarily at high levels of biological organization. Data used to inform ecological risk assessments come primarily from tests on individual organisms or from suborganismal studies, indicating a disconnect between primary data and protection goals. We know how to relate individual responses to population dynamics using individual-based models, and there are emerging ideas on how to make connections to ecosystem services. However, there is no established methodology to connect effects seen at higher levels of biological organization with suborganismal dynamics, despite progress made in identifying Adverse Outcome Pathways (AOPs) that link molecular initiating events to ecologically relevant key events. This chapter is a product of a working group at the National Center for Mathematical and Biological Synthesis (NIMBioS) that assessed the feasibility of using dynamic energy budget (DEB) models of individual organisms as a "pivot" connecting suborganismal processes to higher level ecological processes. AOP models quantify explicit molecular, cellular or organ-level processes, but do not offer a route to linking sub-organismal damage to adverse effects on individual growth, reproduction, and survival, which can be propagated to the population level through individual-based models. DEB models describe these processes, but use abstract variables with undetermined connections to suborganismal biology. We propose linking DEB and quantitative AOP models by interpreting AOP key events as measures of damage-inducing processes in a DEB model. Here, we present a conceptual model for linking AOPs to DEB models and review existing modeling tools available for both AOP and DEB.

    Original languageEnglish (US)
    Title of host publicationA Systems Biology Approach to Advancing Adverse Outcome Pathways for Risk Assessment
    PublisherSpringer International Publishing
    Pages281-302
    Number of pages22
    ISBN (Electronic)9783319660844
    ISBN (Print)9783319660820
    DOIs
    StatePublished - Feb 24 2018

    Fingerprint

    Budgets
    energy
    Organizations
    Computer Security
    environmental assessment
    Risk assessment
    Population Dynamics
    Reproduction
    Ecosystem
    Population dynamics
    organisms
    Ecosystems
    ecosystem services
    Growth
    population dynamics
    Population
    adverse effects
    Biological Sciences
    synthesis

    ASJC Scopus subject areas

    • Agricultural and Biological Sciences(all)
    • Biochemistry, Genetics and Molecular Biology(all)
    • Medicine(all)
    • Pharmacology, Toxicology and Pharmaceutics(all)

    Cite this

    Murphy, C. A., Nisbet, R. M., Antczak, P., Garcia-Reyero, N., Gergs, A., Lika, K., ... Watanabe-Sailor, K. (2018). Linking adverse outcome pathways to dynamic energy budgets: A conceptual model. In A Systems Biology Approach to Advancing Adverse Outcome Pathways for Risk Assessment (pp. 281-302). Springer International Publishing. https://doi.org/10.1007/978-3-319-66084-4_14

    Linking adverse outcome pathways to dynamic energy budgets : A conceptual model. / Murphy, Cheryl A.; Nisbet, Roger M.; Antczak, Philipp; Garcia-Reyero, Natàlia; Gergs, Andre; Lika, Konstadia; Mathews, Teresa; Muller, Erik B.; Nacci, Diane; Peace, Angela; Remien, Christopher H.; Schultz, Irvin R.; Watanabe-Sailor, Karen.

    A Systems Biology Approach to Advancing Adverse Outcome Pathways for Risk Assessment. Springer International Publishing, 2018. p. 281-302.

    Research output: Chapter in Book/Report/Conference proceedingChapter

    Murphy, CA, Nisbet, RM, Antczak, P, Garcia-Reyero, N, Gergs, A, Lika, K, Mathews, T, Muller, EB, Nacci, D, Peace, A, Remien, CH, Schultz, IR & Watanabe-Sailor, K 2018, Linking adverse outcome pathways to dynamic energy budgets: A conceptual model. in A Systems Biology Approach to Advancing Adverse Outcome Pathways for Risk Assessment. Springer International Publishing, pp. 281-302. https://doi.org/10.1007/978-3-319-66084-4_14
    Murphy CA, Nisbet RM, Antczak P, Garcia-Reyero N, Gergs A, Lika K et al. Linking adverse outcome pathways to dynamic energy budgets: A conceptual model. In A Systems Biology Approach to Advancing Adverse Outcome Pathways for Risk Assessment. Springer International Publishing. 2018. p. 281-302 https://doi.org/10.1007/978-3-319-66084-4_14
    Murphy, Cheryl A. ; Nisbet, Roger M. ; Antczak, Philipp ; Garcia-Reyero, Natàlia ; Gergs, Andre ; Lika, Konstadia ; Mathews, Teresa ; Muller, Erik B. ; Nacci, Diane ; Peace, Angela ; Remien, Christopher H. ; Schultz, Irvin R. ; Watanabe-Sailor, Karen. / Linking adverse outcome pathways to dynamic energy budgets : A conceptual model. A Systems Biology Approach to Advancing Adverse Outcome Pathways for Risk Assessment. Springer International Publishing, 2018. pp. 281-302
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    AU - Gergs, Andre

    AU - Lika, Konstadia

    AU - Mathews, Teresa

    AU - Muller, Erik B.

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    AU - Peace, Angela

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