Linking in Vitro Effects and Detected Organic Micropollutants in Surface Water Using Mixture-Toxicity Modeling

Neale, Peta A., Ait-Aissa, Selim, Brack, Werner, Creusot, Nicolas, Denison, Michael S., Deutschmann, Bjorn, Hilscherova, Klara, Hollert, Henner, Krauss, Martin, Novak, Jiri, Schulze, Tobias, Seiler, Thomas-Benjamin, Serra, Helene, Shao, Ying and Escher, Beate I. (2015) Linking in Vitro Effects and Detected Organic Micropollutants in Surface Water Using Mixture-Toxicity Modeling. Environmental Science and Technology, 49 24: 14614-14624. doi:10.1021/acs.est.5b04083

Author Neale, Peta A.
Ait-Aissa, Selim
Brack, Werner
Creusot, Nicolas
Denison, Michael S.
Deutschmann, Bjorn
Hilscherova, Klara
Hollert, Henner
Krauss, Martin
Novak, Jiri
Schulze, Tobias
Seiler, Thomas-Benjamin
Serra, Helene
Shao, Ying
Escher, Beate I.
Title Linking in Vitro Effects and Detected Organic Micropollutants in Surface Water Using Mixture-Toxicity Modeling
Journal name Environmental Science and Technology   Check publisher's open access policy
ISSN 1520-5851
Publication date 2015-10-30
Year available 2015
Sub-type Article (original research)
DOI 10.1021/acs.est.5b04083
Open Access Status Not yet assessed
Volume 49
Issue 24
Start page 14614
End page 14624
Total pages 11
Place of publication Washington, DC, United States
Publisher American Chemical Society
Language eng
Subject 1600 Chemistry
2304 Environmental Chemistry
Abstract Surface water can contain countless organic micropollutants, and targeted chemical analysis alone may only detect a small fraction of the chemicals present. Consequently, bioanalytical tools can be applied complementary to chemical analysis to detect the effects of complex chemical mixtures. In this study, bioassays indicative of activation of the aryl hydrocarbon receptor (AhR), activation of the pregnane X receptor (PXR), activation of the estrogen receptor (ER), adaptive stress responses to oxidative stress (Nrf2), genotoxicity (p53) and inflammation (NF-κB) and the fish embryo toxicity test were applied along with chemical analysis to water extracts from the Danube River. Mixture-toxicity modeling was applied to determine the contribution of detected chemicals to the biological effect. Effect concentrations for between 0 to 13 detected chemicals could be found in the literature for the different bioassays. Detected chemicals explained less than 0.2% of the biological effect in the PXR activation, adaptive stress response, and fish embryo toxicity assays, while five chemicals explained up to 80% of ER activation, and three chemicals explained up to 71% of AhR activation. This study highlights the importance of fingerprinting the effects of detected chemicals.
Keyword Engineering, Environmental
Environmental Sciences
Environmental Sciences & Ecology
Q-Index Code C1
Q-Index Status Provisional Code
Grant ID 603437
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: Official 2016 Collection
National Research Centre for Environmental Toxicology Publications
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Citation counts: TR Web of Science Citation Count  Cited 28 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 31 times in Scopus Article | Citations
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