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.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 14614-14624 |
| Number of pages | 11 |
| Journal | Environmental Science and Technology |
| Volume | 49 |
| Issue number | 24 |
| DOIs | |
| State | Published - Dec 15 2015 |
Fingerprint
ASJC Scopus subject areas
- Chemistry(all)
- Environmental Chemistry
Cite this
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; Novák, Jiří; Schulze, Tobias; Seiler, Thomas Benjamin; Serra, Helene; Shao, Ying; Escher, Beate I.
In: Environmental Science and Technology, Vol. 49, No. 24, 15.12.2015, p. 14614-14624.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Linking in Vitro Effects and Detected Organic Micropollutants in Surface Water Using Mixture-Toxicity Modeling
AU - Neale, Peta A.
AU - Ait-Aissa, Selim
AU - Brack, Werner
AU - Creusot, Nicolas
AU - Denison, Michael S.
AU - Deutschmann, Björn
AU - Hilscherová, Klára
AU - Hollert, Henner
AU - Krauss, Martin
AU - Novák, Jiří
AU - Schulze, Tobias
AU - Seiler, Thomas Benjamin
AU - Serra, Helene
AU - Shao, Ying
AU - Escher, Beate I.
PY - 2015/12/15
Y1 - 2015/12/15
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84950137463&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84950137463&partnerID=8YFLogxK
U2 - 10.1021/acs.est.5b04083
DO - 10.1021/acs.est.5b04083
M3 - Article
C2 - 26516785
AN - SCOPUS:84950137463
VL - 49
SP - 14614
EP - 14624
JO - Environmental Science & Technology
JF - Environmental Science & Technology
SN - 0013-936X
IS - 24
ER -