Vision &amp; strategy: Predictive ecotoxicology in the 21st century

Villeneuve, Daniel L.; García-Reyero, Natàlia

doi:10.1002/etc.396

Cited by 136 publications

(109 citation statements)

References 10 publications

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“…As assessing the hazards of nanomaterials moves forward, considering recent approaches that incorporate rapid screening and in vitro testing whose results prioritize whole animal testing is important [17]. These approaches produce large amounts of ''omics'' and high throughput screening data and rely on computational toxicology to evolve hypotheses of toxicological mechanisms from these datasets.…”

Section: Assessing Hazardmentioning

confidence: 99%

Paradigms to assess the environmental impact of manufactured nanomaterials

Klaine¹,

Koelmans²,

Horne³

et al. 2011

Enviro Toxic and Chemistry

307

170

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Section: Assessing Hazardmentioning

confidence: 99%

Paradigms to assess the environmental impact of manufactured nanomaterials

Klaine¹,

Koelmans²,

Horne³

et al. 2011

Enviro Toxic and Chemistry

307

170

View full text Add to dashboard Cite

“…The challenge and goal, therefore, is effectively translating quantitative mechanistic AOP data to higher-level responses meaningful to population modeling and ecological risk assessment. A conceptual framework to support this translation is the AOP [8,9].…”

Section: Regulatory Contextmentioning

confidence: 99%

“…In the current study, we describe how quantitative mechanistic data, as defined in adverse outcome pathways (AOPs) [8,9], can be placed into a computational framework and translated into population-level modeling that can be used in subsequent population-level risk assessment. An AOP has been defined by Ankley et al [8] (page 730) as ''a conceptual construct that portrays existing knowledge concerning the linkage between a direct molecular initiating event and an adverse outcome at a biological level of organization relevant to risk assessment.''…”

Section: Introductionmentioning

confidence: 99%

Adverse outcome pathways and ecological risk assessment: Bridging to population‐level effects

Kramer¹,

Etterson

Hecker³

et al. 2010

Enviro Toxic and Chemistry

208

166

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Abstract-Maintaining the viability of populations of plants and animals is a key focus for environmental regulation. Population-level responses integrate the cumulative effects of chemical stressors on individuals as those individuals interact with and are affected by their conspecifics, competitors, predators, prey, habitat, and other biotic and abiotic factors. Models of population-level effects of contaminants can integrate information from lower levels of biological organization and feed that information into higher-level community and ecosystem models. As individual-level endpoints are used to predict population responses, this requires that biological responses at lower levels of organization be translated into a form that is usable by the population modeler. In the current study, we describe how mechanistic data, as captured in adverse outcome pathways (AOPs), can be translated into modeling focused on population-level risk assessments. First, we describe the regulatory context surrounding population modeling, risk assessment and the emerging role of AOPs. Then we present a succinct overview of different approaches to population modeling and discuss the types of data needed for these models. We describe how different key biological processes measured at the level of the individual serve as the linkage, or bridge, between AOPs and predictions of population status, including consideration of community-level interactions and genetic adaptation. Several case examples illustrate the potential for use of AOPs in population modeling and predictive ecotoxicology. Finally, we make recommendations for focusing toxicity studies to produce the quantitative data needed to define AOPs and to facilitate their incorporation into population modeling. Environ. Toxicol. Chem. 2011;30:64-76. # 2010 SETAC

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“…To do so, ERA has long relied on apical data from survival, growth/development, and reproduction for decision making. Two key factors that have limited the use of Omics data and systems biology in ERA are the lack of established linkages between suborganismal responses and population-level effects, in addition to a lack of appropriate extrapolation tools [43,44].…”

Section: Systems Biology In Ecotoxicologymentioning

confidence: 99%

Systems biology: Leading the revolution in ecotoxicology

García-Reyero

Perkins

2010

Enviro Toxic and Chemistry

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Abstract-The rapid development of new technologies such as transcriptomics, proteomics, and metabolomics (Omics) are changing the way ecotoxicology is practiced. The data deluge has begun with genomes of over 65 different aquatic species that are currently being sequenced, and many times that number with at least some level of transcriptome sequencing. Integrating these top-down methodologies is an essential task in the field of systems biology. Systems biology is a biology-based interdisciplinary field that focuses on complex interactions in biological systems, with the intent to model and discover emergent properties of the system. Recent studies demonstrate that Omics technologies provide valuable insight into ecotoxicity, both in laboratory exposures with model organisms and with animals exposed in the field. However, these approaches require a context of the whole animal and population to be relevant. Powerful approaches using reverse engineering to determine interacting networks of genes, proteins, or biochemical reactions are uncovering unique responses to toxicants. Modeling efforts in aquatic animals are evolving to interrelate the interacting networks of a system and the flow of information linking these elements. Just as is happening in medicine, systems biology approaches that allow the integration of many different scales of interaction and information are already driving a revolution in understanding the impacts of pollutants on aquatic systems. Environ. Toxicol. Chem. 2011;30:265-273. # 2010 SETAC

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Vision & strategy: Predictive ecotoxicology in the 21st century

Cited by 136 publications

References 10 publications

Paradigms to assess the environmental impact of manufactured nanomaterials

Paradigms to assess the environmental impact of manufactured nanomaterials

Adverse outcome pathways and ecological risk assessment: Bridging to population‐level effects

Systems biology: Leading the revolution in ecotoxicology

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