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Title: Comparative hazard analysis and toxicological modeling of diverse nanomaterials using the embryonic zebrafish (EZ) metric of toxicity

Journal Article · · Journal of Nanoparticle Research
 [1];  [2];  [2];  [2];  [3];  [2];  [4];  [1]
  1. Oregon State Univ., Corvallis, OR (United States)
  2. Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
  3. Intelligent Automation, Inc., Rockville, MD (United States)
  4. Oswaldo Cruz Foundation, Recife (Brazil)
+ Show Author Affiliations

The integration of rapid assays, large data sets, informatics and modeling can overcome current barriers in understanding nanomaterial structure-toxicity relationships by providing a weight-of-the-evidence mechanism to generate hazard rankings for nanomaterials. Here we present the use of a rapid, low-cost assay to perform screening-level toxicity evaluations of nanomaterials in vivo. Calculated EZ Metric scores, a combined measure of morbidity and mortality, were established at realistic exposure levels and used to develop a predictive model of nanomaterial toxicity. Hazard ranking and clustering analysis of 68 diverse nanomaterials revealed distinct patterns of toxicity related to both core composition and outermost surface chemistry of nanomaterials. The resulting clusters guided the development of a predictive model of gold nanoparticle toxicity to embryonic zebrafish. In addition, our findings suggest that risk assessments based on the size and core composition of nanomaterials alone may be wholly inappropriate, especially when considering complex engineered nanomaterials. These findings reveal the need to expeditiously increase the availability of quantitative measures of nanomaterial hazard and broaden the sharing of that data and knowledge to support predictive modeling. In addition, research should continue to focus on methodologies for developing predictive models of nanomaterial hazard based on sub-lethal responses to low dose exposures.

Research Organization:
Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)
Sponsoring Organization:
USDOE
Grant/Contract Number:
AC05-76RL01830
OSTI ID:
1224504
Report Number(s):
PNNL-SA-101181; TRN: US1500797
Journal Information:
Journal of Nanoparticle Research, Vol. 17, Issue 6; ISSN 1388-0764
Publisher:
Tsinghua University PressCopyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 28 works
Citation information provided by
Web of Science

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Cited By (9)

How the toxicity of nanomaterials towards different species could be simultaneously evaluated: a novel multi-nano-read-across approach journal January 2018
Reactive oxygen species generation is likely a driver of copper based nanomaterial toxicity journal January 2018
Evaluation of toxicological and teratogenic effects of carbosilane glucose glycodendrimers in zebrafish embryos and model rodent cell lines journal September 2018
Nanotoxicology data for in silico tools: a literature review journal February 2020
Assessment of the permeability and toxicity of polymeric nanocapsules using the zebrafish model journal September 2017
The Potential of Zebrafish as a Model Organism for Improving the Translation of Genetic Anticancer Nanomedicines journal November 2017
Practices and Trends of Machine Learning Application in Nanotoxicology journal January 2020
Evaluation of toxicological and teratogenic effects of carbosilane glucose glycodendrimers in zebrafish embryos and model rodent cell lines text January 2018
Evaluation of toxicological and teratogenic effects of carbosilane glucose glycodendrimers in zebrafish embryos and model rodent cell lines text January 2018

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Related Subjects

77 NANOSCIENCE AND NANOTECHNOLOGY
nanoparticle
zebrafish
toxicity
surface chemistry
nanotechnology
toxicology
informatics