AustralieFrV1, PubMed, Curation, bibRecord, 002590

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

Identifieur interne : 002590 ( PubMed/Curation ); précédent : 002589; suivant : 002591

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

Auteurs : Peta A. Neale [Australie] ; Selim Ait-Aissa [France] ; Werner Brack [Allemagne] ; Nicolas Creusot [France] ; Michael S. Denison [États-Unis] ; Björn Deutschmann [Allemagne] ; Klára Hilscherová [République tchèque] ; Henner Hollert [Allemagne] ; Martin Krauss [Allemagne] ; Ji Novák [République tchèque] ; Tobias Schulze [Allemagne] ; Thomas-Benjamin Seiler [Allemagne] ; Helene Serra [France] ; Ying Shao [Allemagne] ; Beate I. Escher [Australie]

Source :

Environmental science & technology [ 1520-5851 ] ; 2015.

RBID : pubmed:26516785

Descripteurs français

English descriptors

KwdEn :
- Animals, Biological Assay, Ecotoxicology (methods), Embryo, Nonmammalian (drug effects), Fishes (embryology), In Vitro Techniques, Models, Theoretical, Mutagenicity Tests (methods), NF-kappa B, Organic Chemicals (analysis), Organic Chemicals (toxicity), Receptors, Aryl Hydrocarbon (metabolism), Receptors, Estrogen (metabolism), Receptors, Steroid (metabolism), Rivers (chemistry), Toxicity Tests (methods), Water Pollutants, Chemical (analysis), Water Pollutants, Chemical (toxicity).
MESH :
- chemical , analysis : Organic Chemicals, Water Pollutants, Chemical.
- chemical , metabolism : Receptors, Aryl Hydrocarbon, Receptors, Estrogen, Receptors, Steroid.
- chemical , toxicity : Organic Chemicals, Water Pollutants, Chemical.
- chemical : NF-kappa B.
- chemistry : Rivers.
- drug effects : Embryo, Nonmammalian.
- embryology : Fishes.
- methods : Ecotoxicology, Mutagenicity Tests, Toxicity Tests.
- Animals, Biological Assay, In Vitro Techniques, Models, Theoretical.

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.

DOI: 10.1021/acs.est.5b04083
PubMed: 26516785

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Le document en format XML

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<front><div type="abstract" xml:lang="en">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.</div>
</front>
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<DateCreated><Year>2015</Year>
<Month>12</Month>
<Day>15</Day>
</DateCreated>
<DateCompleted><Year>2016</Year>
<Month>07</Month>
<Day>02</Day>
</DateCompleted>
<DateRevised><Year>2015</Year>
<Month>12</Month>
<Day>15</Day>
</DateRevised>
<Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">1520-5851</ISSN>
<JournalIssue CitedMedium="Internet"><Volume>49</Volume>
<Issue>24</Issue>
<PubDate><Year>2015</Year>
<Month>Dec</Month>
<Day>15</Day>
</PubDate>
</JournalIssue>
<Title>Environmental science & technology</Title>
<ISOAbbreviation>Environ. Sci. Technol.</ISOAbbreviation>
</Journal>
<ArticleTitle>Linking in Vitro Effects and Detected Organic Micropollutants in Surface Water Using Mixture-Toxicity Modeling.</ArticleTitle>
<Pagination><MedlinePgn>14614-24</MedlinePgn>
</Pagination>
<ELocationID EIdType="doi" ValidYN="Y">10.1021/acs.est.5b04083</ELocationID>
<Abstract><AbstractText>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.</AbstractText>
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<AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Neale</LastName>
<ForeName>Peta A</ForeName>
<Initials>PA</Initials>
<AffiliationInfo><Affiliation>Smart Water Research Centre, School of Environment, Griffith University , Southport QLD 4222, Australia.</Affiliation>
</AffiliationInfo>
<AffiliationInfo><Affiliation>National Research Centre for Environmental Toxicology (Entox), The University of Queensland , Brisbane QLD 4108, Australia.</Affiliation>
</AffiliationInfo>
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<ForeName>Selim</ForeName>
<Initials>S</Initials>
<AffiliationInfo><Affiliation>Institut National de l'Environnement Industriel et des Risques INERIS, Unité d'Ecotoxicologie , 60550 Verneuil-en-Halatte, France.</Affiliation>
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<Initials>W</Initials>
<AffiliationInfo><Affiliation>UFZ - Helmholtz Centre for Environmental Research , 04318 Leipzig, Germany.</Affiliation>
</AffiliationInfo>
<AffiliationInfo><Affiliation>Department of Ecosystem Analysis, Institute for Environmental Research, RWTH Aachen University , 52074 Aachen, Germany.</Affiliation>
</AffiliationInfo>
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<ForeName>Nicolas</ForeName>
<Initials>N</Initials>
<AffiliationInfo><Affiliation>Institut National de l'Environnement Industriel et des Risques INERIS, Unité d'Ecotoxicologie , 60550 Verneuil-en-Halatte, France.</Affiliation>
</AffiliationInfo>
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<Author ValidYN="Y"><LastName>Denison</LastName>
<ForeName>Michael S</ForeName>
<Initials>MS</Initials>
<AffiliationInfo><Affiliation>Department of Environmental Toxicology, University of California , Davis, California 95616, United States.</Affiliation>
</AffiliationInfo>
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<ForeName>Björn</ForeName>
<Initials>B</Initials>
<AffiliationInfo><Affiliation>Department of Ecosystem Analysis, Institute for Environmental Research, RWTH Aachen University , 52074 Aachen, Germany.</Affiliation>
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<AffiliationInfo><Affiliation>Research Centre for Toxic Compounds in the Environment (RECETOX), Masaryk University , Kamenice 753/5, 62500 Brno, Czech Republic.</Affiliation>
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<ForeName>Henner</ForeName>
<Initials>H</Initials>
<AffiliationInfo><Affiliation>Department of Ecosystem Analysis, Institute for Environmental Research, RWTH Aachen University , 52074 Aachen, Germany.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Krauss</LastName>
<ForeName>Martin</ForeName>
<Initials>M</Initials>
<AffiliationInfo><Affiliation>UFZ - Helmholtz Centre for Environmental Research , 04318 Leipzig, Germany.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Novák</LastName>
<ForeName>Jiří</ForeName>
<Initials>J</Initials>
<AffiliationInfo><Affiliation>Research Centre for Toxic Compounds in the Environment (RECETOX), Masaryk University , Kamenice 753/5, 62500 Brno, Czech Republic.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Schulze</LastName>
<ForeName>Tobias</ForeName>
<Initials>T</Initials>
<AffiliationInfo><Affiliation>UFZ - Helmholtz Centre for Environmental Research , 04318 Leipzig, Germany.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Seiler</LastName>
<ForeName>Thomas-Benjamin</ForeName>
<Initials>TB</Initials>
<AffiliationInfo><Affiliation>Department of Ecosystem Analysis, Institute for Environmental Research, RWTH Aachen University , 52074 Aachen, Germany.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Serra</LastName>
<ForeName>Helene</ForeName>
<Initials>H</Initials>
<AffiliationInfo><Affiliation>Institut National de l'Environnement Industriel et des Risques INERIS, Unité d'Ecotoxicologie , 60550 Verneuil-en-Halatte, France.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Shao</LastName>
<ForeName>Ying</ForeName>
<Initials>Y</Initials>
<AffiliationInfo><Affiliation>Department of Ecosystem Analysis, Institute for Environmental Research, RWTH Aachen University , 52074 Aachen, Germany.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Escher</LastName>
<ForeName>Beate I</ForeName>
<Initials>BI</Initials>
<AffiliationInfo><Affiliation>National Research Centre for Environmental Toxicology (Entox), The University of Queensland , Brisbane QLD 4108, Australia.</Affiliation>
</AffiliationInfo>
<AffiliationInfo><Affiliation>UFZ - Helmholtz Centre for Environmental Research , 04318 Leipzig, Germany.</Affiliation>
</AffiliationInfo>
<AffiliationInfo><Affiliation>Environmental Toxicology, Center for Applied Geosciences, Eberhard Karls University Tübingen , 72074 Tübingen, Germany.</Affiliation>
</AffiliationInfo>
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<Language>eng</Language>
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<PublicationType UI="D013485">Research Support, Non-U.S. Gov't</PublicationType>
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<ArticleDate DateType="Electronic"><Year>2015</Year>
<Month>11</Month>
<Day>16</Day>
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<MedlineTA>Environ Sci Technol</MedlineTA>
<NlmUniqueID>0213155</NlmUniqueID>
<ISSNLinking>0013-936X</ISSNLinking>
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<MeshHeading><DescriptorName UI="D011987" MajorTopicYN="N">Receptors, Steroid</DescriptorName>
<QualifierName UI="Q000378" MajorTopicYN="N">metabolism</QualifierName>
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<MeshHeading><DescriptorName UI="D045483" MajorTopicYN="N">Rivers</DescriptorName>
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<MeshHeading><DescriptorName UI="D018675" MajorTopicYN="N">Toxicity Tests</DescriptorName>
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<MeshHeading><DescriptorName UI="D014874" MajorTopicYN="N">Water Pollutants, Chemical</DescriptorName>
<QualifierName UI="Q000032" MajorTopicYN="Y">analysis</QualifierName>
<QualifierName UI="Q000633" MajorTopicYN="Y">toxicity</QualifierName>
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Linking in Vitro Effects and Detected Organic Micropollutants in Surface Water Using Mixture-Toxicity Modeling.

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

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