Comparative hazard analysis and toxicological modeling of diverse nanomaterials using the embryonic zebrafish (EZ) metric of toxicity
Abstract
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.
- Authors:
-
- Oregon State Univ., Corvallis, OR (United States)
- Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
- Intelligent Automation, Inc., Rockville, MD (United States)
- Oswaldo Cruz Foundation, Recife (Brazil)
- Publication Date:
- Research Org.:
- Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 1224504
- Report Number(s):
- PNNL-SA-101181
Journal ID: ISSN 1388-0764; TRN: US1500797
- Grant/Contract Number:
- AC05-76RL01830
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Journal of Nanoparticle Research
- Additional Journal Information:
- Journal Volume: 17; Journal Issue: 6; Journal ID: ISSN 1388-0764
- Publisher:
- Tsinghua University Press
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 77 NANOSCIENCE AND NANOTECHNOLOGY; nanoparticle; zebrafish; toxicity; surface chemistry; nanotechnology; toxicology; informatics
Citation Formats
Harper, Bryan, Thomas, Dennis G., Chikkagoudar, Satish, Baker, Nathan A., Tang, Kaizhi, Heredia-Langner, Alejandro, Lins, Roberto D., and Harper, Stacey. Comparative hazard analysis and toxicological modeling of diverse nanomaterials using the embryonic zebrafish (EZ) metric of toxicity. United States: N. p., 2015.
Web. doi:10.1007/s11051-015-3051-0.
Harper, Bryan, Thomas, Dennis G., Chikkagoudar, Satish, Baker, Nathan A., Tang, Kaizhi, Heredia-Langner, Alejandro, Lins, Roberto D., & Harper, Stacey. Comparative hazard analysis and toxicological modeling of diverse nanomaterials using the embryonic zebrafish (EZ) metric of toxicity. United States. https://doi.org/10.1007/s11051-015-3051-0
Harper, Bryan, Thomas, Dennis G., Chikkagoudar, Satish, Baker, Nathan A., Tang, Kaizhi, Heredia-Langner, Alejandro, Lins, Roberto D., and Harper, Stacey. Thu .
"Comparative hazard analysis and toxicological modeling of diverse nanomaterials using the embryonic zebrafish (EZ) metric of toxicity". United States. https://doi.org/10.1007/s11051-015-3051-0. https://www.osti.gov/servlets/purl/1224504.
@article{osti_1224504,
title = {Comparative hazard analysis and toxicological modeling of diverse nanomaterials using the embryonic zebrafish (EZ) metric of toxicity},
author = {Harper, Bryan and Thomas, Dennis G. and Chikkagoudar, Satish and Baker, Nathan A. and Tang, Kaizhi and Heredia-Langner, Alejandro and Lins, Roberto D. and Harper, Stacey},
abstractNote = {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.},
doi = {10.1007/s11051-015-3051-0},
journal = {Journal of Nanoparticle Research},
number = 6,
volume = 17,
place = {United States},
year = {Thu Jun 04 00:00:00 EDT 2015},
month = {Thu Jun 04 00:00:00 EDT 2015}
}
Web of Science
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Advancing risk assessment of engineered nanomaterials: Application of computational approaches
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In vivo evaluation of carbon fullerene toxicity using embryonic zebrafish
journal, August 2007
- Usenko, Crystal Y.; Harper, Stacey L.; Tanguay, Robert L.
- Carbon, Vol. 45, Issue 9
Silver exposure in developing zebrafish (Danio rerio): Persistent effects on larval behavior and survival
journal, May 2010
- Powers, Christina M.; Yen, Jerry; Linney, Elwood A.
- Neurotoxicology and Teratology, Vol. 32, Issue 3
Particle size, surface charge and concentration dependent ecotoxicity of three organo-coated silver nanoparticles: Comparison between general linear model-predicted and observed toxicity
journal, January 2014
- Silva, Thilini; Pokhrel, Lok R.; Dubey, Brajesh
- Science of The Total Environment, Vol. 468-469
Developmental toxicity of low generation PAMAM dendrimers in zebrafish
journal, November 2007
- King Heiden, Tisha C.; Dengler, Emelyne; Kao, Weiyuan John
- Toxicology and Applied Pharmacology, Vol. 225, Issue 1
Fullerene C60 exposure elicits an oxidative stress response in embryonic zebrafish
journal, May 2008
- Usenko, Crystal Y.; Harper, Stacey L.; Tanguay, Robert L.
- Toxicology and Applied Pharmacology, Vol. 229, Issue 1
Nanomaterial Toxicity Testing in the 21st Century: Use of a Predictive Toxicological Approach and High-Throughput Screening
journal, June 2012
- Nel, Andre; Xia, Tian; Meng, Huan
- Accounts of Chemical Research, Vol. 46, Issue 3
In Silico Analysis of Nanomaterials Hazard and Risk
journal, July 2012
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Systematic Evaluation of Nanomaterial Toxicity: Utility of Standardized Materials and Rapid Assays
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- ACS Nano, Vol. 5, Issue 6
Use of Metal Oxide Nanoparticle Band Gap To Develop a Predictive Paradigm for Oxidative Stress and Acute Pulmonary Inflammation
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Concept of Assessing Nanoparticle Hazards Considering Nanoparticle Dosemetric and Chemical/Biological Response Metrics
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In vivo biodistribution and toxicity depends on nanomaterial composition, size, surface functionalisation and route of exposure
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Silver nanoparticle toxicity in the embryonic zebrafish is governed by particle dispersion and ionic environment
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Comparison of Molecular and Histological Changes in Zebrafish Gills Exposed to Metallic Nanoparticles
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Multidimensional In Vivo Hazard Assessment Using Zebrafish
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Automated Zebrafish Chorion Removal and Single Embryo Placement: Optimizing Throughput of Zebrafish Developmental Toxicity Screens
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The Relationships among Structure, Activity, and Toxicity of Engineered Nanoparticles
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