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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, Björn; Hilscherová, Klára; Hollert, Henner; Krauss, Martin and Novák, Jiří, et al. (2015) In Environmental Science & Technology 49(24). p.14614-14624
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... (More)
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. (Less)
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type
Contribution to journal
publication status
published
in
Environmental Science & Technology
volume
49
issue
24
pages
14614 - 14624
publisher
The American Chemical Society (ACS)
external identifiers
  • scopus:84950137463
ISSN
0013-936X
DOI
10.1021/acs.est.5b04083
language
English
LU publication?
no
id
ac1ec8e8-9e70-43ec-97e5-4fa6855983eb
date added to LUP
2019-04-18 14:51:01
date last changed
2019-09-26 04:32:57
@article{ac1ec8e8-9e70-43ec-97e5-4fa6855983eb,
  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.},
  author       = {Neale, Peta A. and Ait-aissa, Selim and Brack, Werner and Creusot, Nicolas and Denison, Michael S. and Deutschmann, Björn and Hilscherová, Klára and Hollert, Henner and Krauss, Martin and Novák, Jiří and Schulze, Tobias and Seiler, Thomas-benjamin and Serra, Helene and Shao, Ying and Escher, Beate I.},
  issn         = {0013-936X},
  language     = {eng},
  month        = {10},
  number       = {24},
  pages        = {14614--14624},
  publisher    = {The American Chemical Society (ACS)},
  series       = {Environmental Science & Technology},
  title        = {Linking in Vitro Effects and Detected Organic Micropollutants in Surface Water Using Mixture-Toxicity Modeling},
  url          = {http://dx.doi.org/10.1021/acs.est.5b04083},
  volume       = {49},
  year         = {2015},
}