Dynamic energy-based modeling of uranium and cadmium joint toxicity to Caenorhabditis elegans

Margerit, A.; Góméz, Elena; Gilbin, Rodolphe

doi:10.1016/j.chemosphere.2015.12.029

Cited by 25 publications

(13 citation statements)

References 32 publications

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“…A recent study also employed a TBTK/TD energybased model to describe the joint toxicity of uranium and Cd over growth and reproduction periods in C. elegans. 38 Given that, to the best of our knowledge, no single study to date has assessed the nanotoxicity response of Fe 0 NPs associated with C. elegans in an in vivo model, a challenge exists in how to integrate TBTK/TD information and a riskassessment framework reliably to derive predictable risk trends. Therefore, results obtained with this surrogate model are critical to provide new approaches in nanotoxicology and to predict their toxic effects in living organisms.…”

Section: Introductionmentioning

confidence: 99%

Toxicity-based toxicokinetic/toxicodynamic assessment of bioaccumulation and nanotoxicity of zerovalent iron nanoparticles in <em>Caenorhabditis elegans</em>

Yang¹,

Lin²,

Liao³

2017

IJN

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Elucidating the relationships between the toxicity-based-toxicokinetic (TBTK)/toxicodynamic (TD) properties of engineered nanomaterials and their nanotoxicity is crucial for human health-risk analysis. Zerovalent iron (Fe 0 ) nanoparticles (NPs) are one of the most prominent NPs applied in remediating contaminated soils and groundwater. However, there are concerns that Fe 0 NP application contributes to long-term environmental and human health impacts. The nematode Caenorhabditis elegans is a surrogate in vivo model that has been successfully applied to assess the potential nanotoxicity of these nanomaterials. Here we present a TBTK/TD approach to appraise bioaccumulation and nanotoxicity of Fe 0 NPs in C. elegans . Built on a present C. elegans bioassay with estimated TBTK/TD parameters, we found that average bioconcentration factors in C. elegans exposed to waterborne and food-borne Fe 0 NPs were ~50 and ~5×10 −3 , respectively, whereas 10% inhibition concentrations for fertility, locomotion, and development, were 1.26 (95% CI 0.19–5.2), 3.84 (0.38–42), and 6.78 (2.58–21) μg·g −1 , respectively, implicating that fertility is the most sensitive endpoint in C. elegans . Our results also showed that biomagnification effects were not observed in waterborne or food-borne Fe 0 NP-exposed worms. We suggest that the TBTK/TD assessment for predicting NP-induced toxicity at different concentrations and conditions in C. elegans could enable rapid selection of nanomaterials that are more likely to be nontoxic in larger animals. We conclude that the use of the TBTK/TD scheme manipulating C. elegans could be used for rapid evaluation of in vivo toxicity of NPs or for drug screening in the field of nanomedicine.

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Section: Introductionmentioning

confidence: 99%

Toxicity-based toxicokinetic/toxicodynamic assessment of bioaccumulation and nanotoxicity of zerovalent iron nanoparticles in <em>Caenorhabditis elegans</em>

Yang¹,

Lin²,

Liao³

2017

IJN

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“…Organisms and populations can respond to stress using a wide range of mechanisms from a behavioural response like a change of resting site by ectotherms according to the temperature stress, an acclimation response involving changes in enzymatic activities allowing a complete or partial recovery (re-establishment of the homeostasis), or even a genetic adaptation by natural selection of genetic variants presenting a higher metabolic efficiency9. Over the past 15 years, several studies have attempted to assess the effects of mixtures of chemicals1011121314, mixtures of ecological factors1516 or, mixtures of chemicals and ecological factors171819 on organisms and populations. These studies indicate that the prediction of the environmental effects of multiple stressors is a challenge that is beginning to be addressed by the scientific community.…”

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confidence: 99%

Integrated presentation of ecological risk from multiple stressors

Goussen

Price

Rendal

et al. 2016

Sci Rep

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Current environmental risk assessments (ERA) do not account explicitly for ecological factors (e.g. species composition, temperature or food availability) and multiple stressors. Assessing mixtures of chemical and ecological stressors is needed as well as accounting for variability in environmental conditions and uncertainty of data and models. Here we propose a novel probabilistic ERA framework to overcome these limitations, which focusses on visualising assessment outcomes by construct-ing and interpreting prevalence plots as a quantitative prediction of risk. Key components include environmental scenarios that integrate exposure and ecology, and ecological modelling of relevant endpoints to assess the effect of a combination of stressors. Our illustrative results demonstrate the importance of regional differences in environmental conditions and the confounding interactions of stressors. Using this framework and prevalence plots provides a risk-based approach that combines risk assessment and risk management in a meaningful way and presents a truly mechanistic alternative to the threshold approach. Even whilst research continues to improve the underlying models and data, regulators and decision makers can already use the framework and prevalence plots. The integration of multiple stressors, environmental conditions and variability makes ERA more relevant and realistic.

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“…Sci. : Processes Impacts, 2018, 20, [48][49][50][51][52][53][54][55][56][57] This journal is © The Royal Society of Chemistry 2018…”

Section: Looking Forwardmentioning

confidence: 99%

“…elegans,23,[48][49][50][51][52][53][54] D. octaedra,55 L. rubellus,[56][57][58] C. teleta,59 F. candida,[60][61][62] D. magna,32,57,[63][64][65][66][67] M. micrura, 68 M. californianus, 69 M. galloprovincialis,57,69,70 M. edilus, 57 C. gigas, 57 L. stagnalis,[71][72][73] D. rerio,57,74 S. droebachiensis.…”

mentioning

confidence: 99%

Physiological modes of action across species and toxicants: the key to predictive ecotoxicology

Ashauer

Jager

2018

Environ. Sci.: Processes Impacts

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As ecotoxicologists we strive for a better understanding of how chemicals affect our environment. Humanity needs tools to identify those combinations of man-made chemicals and organisms most likely to cause problems. In other words: which of the millions of species are at risk from pollution? And which of the tens of thousands of chemicals contribute most to the risk? We identified our poor knowledge on physiological modes of action (how a chemical affects the energy allocation in an organism), and how they vary across species and toxicants, as a major knowledge gap. We also find that the key to predictive ecotoxicology is the systematic, rigorous characterization of physiological modes of action because that will enable more powerful in vitro to in vivo toxicity extrapolation and in silico ecotoxicology. In the near future, we expect a step change in our ability to study physiological modes of action by improved, and partially automated, experimental methods. Once we have populated the matrix of species and toxicants with sufficient physiological mode of action data we can look for patterns, and from those patterns infer general rules, theory and models.

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Dynamic energy-based modeling of uranium and cadmium joint toxicity to Caenorhabditis elegans

Cited by 25 publications

References 32 publications

Toxicity-based toxicokinetic/toxicodynamic assessment of bioaccumulation and nanotoxicity of zerovalent iron nanoparticles in <em>Caenorhabditis elegans</em>

Toxicity-based toxicokinetic/toxicodynamic assessment of bioaccumulation and nanotoxicity of zerovalent iron nanoparticles in <em>Caenorhabditis elegans</em>

Integrated presentation of ecological risk from multiple stressors

Physiological modes of action across species and toxicants: the key to predictive ecotoxicology

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