Meta-analysis of

Daphnia magna nanotoxicity experiments in accordance with test guidelines

Hyun Kil Shin, Myungwon Seo, Seong Eun Shin, Kwang Yon Kim, June Woo Park, Kyoung Tai No

Research output: Contribution to journalArticle

Abstract

Ecotoxicological assays have examined the risk of nanoparticles (NPs) to Daphnia magna (D. magna). However, significant inconsistencies in assay results have been found among studies conducted according to D. magna test guidelines (TGs) issued from the OECD (Organization for Economic Co-operation and Development) and US EPA (United States Environmental Protection Agency). Moreover, the inconsistencies have not yet been explained as a diverse range of factors may cause heterogeneity in the assay results. Here, a meta-analysis was performed to identify the causes of these inconsistencies. Data from experimental studies were collected when they were in accordance with TGs. A dataset was compiled by extracting the physicochemical properties of NPs, the experimental conditions of the assays, and the measured toxicities to D. magna. In total, 882 data points (NPs per set of experimental conditions) were obtained from 83 publications. Meta-analyses revealed that the toxicity of NPs was higher than that of non-NPs (TEM diameter >200 nm), and the toxicity of non-coated NPs did not correlate with the TEM diameter of NPs. In addition, the dataset was divided into four classes according to the state of the NPs, including metal oxide, metal, coated metal, and carbon nanomaterials, and a prediction model was developed for each class using a support vector machine to identify the features that influenced toxicity. Dispersion methods were identified as the most important experimental conditions that explained inconsistencies in results as they explained the most variation in the model. Therefore, dispersion methods for NPs may need to be adjusted in the TGs to reduce the heterogeneity in toxicity assay results for NPs.

Original languageEnglish
Pages (from-to)765-775
Number of pages11
JournalEnvironmental Science: Nano
Volume5
Issue number3
DOIs
Publication statusPublished - 2018 Jan 1

Fingerprint

meta-analysis
Nanoparticles
Toxicity
Assays
assay
experiment
toxicity
Experiments
transmission electron microscopy
Metals
Transmission electron microscopy
nanoparticle
test
Metal nanoparticles
Environmental Protection Agency
metal
Nanostructured materials
physicochemical property
Oxides
OECD

All Science Journal Classification (ASJC) codes

  • Materials Science (miscellaneous)
  • Environmental Science(all)

Cite this

Shin, Hyun Kil ; Seo, Myungwon ; Shin, Seong Eun ; Kim, Kwang Yon ; Park, June Woo ; No, Kyoung Tai. / Meta-analysis of : Daphnia magna nanotoxicity experiments in accordance with test guidelines. In: Environmental Science: Nano. 2018 ; Vol. 5, No. 3. pp. 765-775.
@article{0409587d383a4611bd504bb0d4f690a2,
title = "Meta-analysis of: Daphnia magna nanotoxicity experiments in accordance with test guidelines",
abstract = "Ecotoxicological assays have examined the risk of nanoparticles (NPs) to Daphnia magna (D. magna). However, significant inconsistencies in assay results have been found among studies conducted according to D. magna test guidelines (TGs) issued from the OECD (Organization for Economic Co-operation and Development) and US EPA (United States Environmental Protection Agency). Moreover, the inconsistencies have not yet been explained as a diverse range of factors may cause heterogeneity in the assay results. Here, a meta-analysis was performed to identify the causes of these inconsistencies. Data from experimental studies were collected when they were in accordance with TGs. A dataset was compiled by extracting the physicochemical properties of NPs, the experimental conditions of the assays, and the measured toxicities to D. magna. In total, 882 data points (NPs per set of experimental conditions) were obtained from 83 publications. Meta-analyses revealed that the toxicity of NPs was higher than that of non-NPs (TEM diameter >200 nm), and the toxicity of non-coated NPs did not correlate with the TEM diameter of NPs. In addition, the dataset was divided into four classes according to the state of the NPs, including metal oxide, metal, coated metal, and carbon nanomaterials, and a prediction model was developed for each class using a support vector machine to identify the features that influenced toxicity. Dispersion methods were identified as the most important experimental conditions that explained inconsistencies in results as they explained the most variation in the model. Therefore, dispersion methods for NPs may need to be adjusted in the TGs to reduce the heterogeneity in toxicity assay results for NPs.",
author = "Shin, {Hyun Kil} and Myungwon Seo and Shin, {Seong Eun} and Kim, {Kwang Yon} and Park, {June Woo} and No, {Kyoung Tai}",
year = "2018",
month = "1",
day = "1",
doi = "10.1039/c7en01127j",
language = "English",
volume = "5",
pages = "765--775",
journal = "Environmental Science: Nano",
issn = "2051-8153",
publisher = "Royal Society of Chemistry",
number = "3",

}

Meta-analysis of : Daphnia magna nanotoxicity experiments in accordance with test guidelines. / Shin, Hyun Kil; Seo, Myungwon; Shin, Seong Eun; Kim, Kwang Yon; Park, June Woo; No, Kyoung Tai.

In: Environmental Science: Nano, Vol. 5, No. 3, 01.01.2018, p. 765-775.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Meta-analysis of

T2 - Daphnia magna nanotoxicity experiments in accordance with test guidelines

AU - Shin, Hyun Kil

AU - Seo, Myungwon

AU - Shin, Seong Eun

AU - Kim, Kwang Yon

AU - Park, June Woo

AU - No, Kyoung Tai

PY - 2018/1/1

Y1 - 2018/1/1

N2 - Ecotoxicological assays have examined the risk of nanoparticles (NPs) to Daphnia magna (D. magna). However, significant inconsistencies in assay results have been found among studies conducted according to D. magna test guidelines (TGs) issued from the OECD (Organization for Economic Co-operation and Development) and US EPA (United States Environmental Protection Agency). Moreover, the inconsistencies have not yet been explained as a diverse range of factors may cause heterogeneity in the assay results. Here, a meta-analysis was performed to identify the causes of these inconsistencies. Data from experimental studies were collected when they were in accordance with TGs. A dataset was compiled by extracting the physicochemical properties of NPs, the experimental conditions of the assays, and the measured toxicities to D. magna. In total, 882 data points (NPs per set of experimental conditions) were obtained from 83 publications. Meta-analyses revealed that the toxicity of NPs was higher than that of non-NPs (TEM diameter >200 nm), and the toxicity of non-coated NPs did not correlate with the TEM diameter of NPs. In addition, the dataset was divided into four classes according to the state of the NPs, including metal oxide, metal, coated metal, and carbon nanomaterials, and a prediction model was developed for each class using a support vector machine to identify the features that influenced toxicity. Dispersion methods were identified as the most important experimental conditions that explained inconsistencies in results as they explained the most variation in the model. Therefore, dispersion methods for NPs may need to be adjusted in the TGs to reduce the heterogeneity in toxicity assay results for NPs.

AB - Ecotoxicological assays have examined the risk of nanoparticles (NPs) to Daphnia magna (D. magna). However, significant inconsistencies in assay results have been found among studies conducted according to D. magna test guidelines (TGs) issued from the OECD (Organization for Economic Co-operation and Development) and US EPA (United States Environmental Protection Agency). Moreover, the inconsistencies have not yet been explained as a diverse range of factors may cause heterogeneity in the assay results. Here, a meta-analysis was performed to identify the causes of these inconsistencies. Data from experimental studies were collected when they were in accordance with TGs. A dataset was compiled by extracting the physicochemical properties of NPs, the experimental conditions of the assays, and the measured toxicities to D. magna. In total, 882 data points (NPs per set of experimental conditions) were obtained from 83 publications. Meta-analyses revealed that the toxicity of NPs was higher than that of non-NPs (TEM diameter >200 nm), and the toxicity of non-coated NPs did not correlate with the TEM diameter of NPs. In addition, the dataset was divided into four classes according to the state of the NPs, including metal oxide, metal, coated metal, and carbon nanomaterials, and a prediction model was developed for each class using a support vector machine to identify the features that influenced toxicity. Dispersion methods were identified as the most important experimental conditions that explained inconsistencies in results as they explained the most variation in the model. Therefore, dispersion methods for NPs may need to be adjusted in the TGs to reduce the heterogeneity in toxicity assay results for NPs.

UR - http://www.scopus.com/inward/record.url?scp=85044053083&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85044053083&partnerID=8YFLogxK

U2 - 10.1039/c7en01127j

DO - 10.1039/c7en01127j

M3 - Article

VL - 5

SP - 765

EP - 775

JO - Environmental Science: Nano

JF - Environmental Science: Nano

SN - 2051-8153

IS - 3

ER -