Biomonitoring aquatic pollution with feral eel (Anguilla anguilla) III Statistical analyses of relationships between contaminant exposure and biomarkers
International audience In a large-scale field study, sediments and eel (Anguilla anguilla) samples were collected from six Amsterdam freshwater sites with varying degrees of pollution. All sediment and eel samples were analyzed for organic trace pollutants, such as polychlorinated biphenyls (PCBs),...
Published in: | Aquatic Toxicology |
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Language: | English |
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Online Access: | https://doi.org/10.1016/S0166-445X(96)00851-X https://hal-ineris.archives-ouvertes.fr/ineris-00962685 |
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fttriple:oai:gotriple.eu:10670/1.j3u01x 2023-05-15T13:27:01+02:00 Biomonitoring aquatic pollution with feral eel (Anguilla anguilla) III Statistical analyses of relationships between contaminant exposure and biomarkers Van Der Oost, Ron Vindimian, Eric Van Den Brink, Paul J. Satumalay, Karel Heida, Henk Vermeulen, Nico P.E. Department of Environmental Toxicology OMEGAM Environmental Research Institute Institut National de l'Environnement Industriel et des Risques (INERIS) Soil and Water Research DLO Winand Staring Centre for Integrated Land Department of Pharmacochemistry / Molecular Toxicology Division Free University 1997-01-01 https://doi.org/10.1016/S0166-445X(96)00851-X https://hal-ineris.archives-ouvertes.fr/ineris-00962685 en eng HAL CCSD Elsevier ineris-00962685 doi:10.1016/S0166-445X(96)00851-X INERIS: PU-1997-059 10670/1.j3u01x https://hal-ineris.archives-ouvertes.fr/ineris-00962685 undefined Hyper Article en Ligne - Sciences de l'Homme et de la Société ISSN: 0166-445X Aquatic Toxicology Aquatic Toxicology, Elsevier, 1997, 39 (1), pp.45-75. ⟨10.1016/S0166-445X(96)00851-X⟩ FERAL EEL (ANGUILLA ANGUILLA) ORGANIC TRACE POLLUTANTS BIOACCUMULATION BIOMARKERS UNI- AND BIVARIATE CORRELATION ANALYSES REML ANALYSIS MULTIVARIATE ANALYSES (PCA DA) ENVIRONMENTAL RISK ASSESSMENT envir socio Journal Article https://vocabularies.coar-repositories.org/resource_types/c_6501/ 1997 fttriple https://doi.org/10.1016/S0166-445X(96)00851-X 2023-01-22T17:01:26Z International audience In a large-scale field study, sediments and eel (Anguilla anguilla) samples were collected from six Amsterdam freshwater sites with varying degrees of pollution. All sediment and eel samples were analyzed for organic trace pollutants, such as polychlorinated biphenyls (PCBs), organochlorine pesticides (OCPs) and polycyclic aromatic hydrocarbons (PAHs). In addition, the pollution-induced responses of a suite of 21 biochemical parameters in eel (notably phase I and phase II biotransformation enzymes, antioxidant enzymes, PAH metabolites, DNA adducts and serum transaminases) were measured. The resulting comprehensive database was subjected to statistical analyses in order to determine the biomarkers which were most suitable to assess inland water pollution and to classify the environmental quality of the sites. Bivariate correlation analysis, principal component analysis (PCA) and residual maximum likelihood analysis (REML) all revealed that the eel tissue levels of most PCB and OCP analyte groups were suitable to assess exposure to these contaminants, whereas PAH tissue levels were not. The phase I biotransformation enzymes in eel were found to be the most responsive to organic pollutants in the environment. Phase II enzymes and cofactors, as well as DNA adducts, were found to be less sensitive biomarkers, whereas the antioxidant enzymes and the serum transaminases did not show statistically significant correlations with pollutant levels. Similar results were obtained by means of the postulated bivariate correlation-significance index (CSI) and the multivariate PCA analysis. Discriminant analysis (DA) was used to classify the pollution status of the various sites. It appeared that the best discrimination between reference sites, moderately polluted sites and heavily polluted sites was obtained using DA on data of the nine most responsive biochemical markers. The importance of monitoring biota for the classification of the pollution status or environmental quality of freshwater sites was ... Article in Journal/Newspaper Anguilla anguilla Unknown Aquatic Toxicology 39 1 45 75 |
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language |
English |
topic |
FERAL EEL (ANGUILLA ANGUILLA) ORGANIC TRACE POLLUTANTS BIOACCUMULATION BIOMARKERS UNI- AND BIVARIATE CORRELATION ANALYSES REML ANALYSIS MULTIVARIATE ANALYSES (PCA DA) ENVIRONMENTAL RISK ASSESSMENT envir socio |
spellingShingle |
FERAL EEL (ANGUILLA ANGUILLA) ORGANIC TRACE POLLUTANTS BIOACCUMULATION BIOMARKERS UNI- AND BIVARIATE CORRELATION ANALYSES REML ANALYSIS MULTIVARIATE ANALYSES (PCA DA) ENVIRONMENTAL RISK ASSESSMENT envir socio Van Der Oost, Ron Vindimian, Eric Van Den Brink, Paul J. Satumalay, Karel Heida, Henk Vermeulen, Nico P.E. Biomonitoring aquatic pollution with feral eel (Anguilla anguilla) III Statistical analyses of relationships between contaminant exposure and biomarkers |
topic_facet |
FERAL EEL (ANGUILLA ANGUILLA) ORGANIC TRACE POLLUTANTS BIOACCUMULATION BIOMARKERS UNI- AND BIVARIATE CORRELATION ANALYSES REML ANALYSIS MULTIVARIATE ANALYSES (PCA DA) ENVIRONMENTAL RISK ASSESSMENT envir socio |
description |
International audience In a large-scale field study, sediments and eel (Anguilla anguilla) samples were collected from six Amsterdam freshwater sites with varying degrees of pollution. All sediment and eel samples were analyzed for organic trace pollutants, such as polychlorinated biphenyls (PCBs), organochlorine pesticides (OCPs) and polycyclic aromatic hydrocarbons (PAHs). In addition, the pollution-induced responses of a suite of 21 biochemical parameters in eel (notably phase I and phase II biotransformation enzymes, antioxidant enzymes, PAH metabolites, DNA adducts and serum transaminases) were measured. The resulting comprehensive database was subjected to statistical analyses in order to determine the biomarkers which were most suitable to assess inland water pollution and to classify the environmental quality of the sites. Bivariate correlation analysis, principal component analysis (PCA) and residual maximum likelihood analysis (REML) all revealed that the eel tissue levels of most PCB and OCP analyte groups were suitable to assess exposure to these contaminants, whereas PAH tissue levels were not. The phase I biotransformation enzymes in eel were found to be the most responsive to organic pollutants in the environment. Phase II enzymes and cofactors, as well as DNA adducts, were found to be less sensitive biomarkers, whereas the antioxidant enzymes and the serum transaminases did not show statistically significant correlations with pollutant levels. Similar results were obtained by means of the postulated bivariate correlation-significance index (CSI) and the multivariate PCA analysis. Discriminant analysis (DA) was used to classify the pollution status of the various sites. It appeared that the best discrimination between reference sites, moderately polluted sites and heavily polluted sites was obtained using DA on data of the nine most responsive biochemical markers. The importance of monitoring biota for the classification of the pollution status or environmental quality of freshwater sites was ... |
author2 |
Department of Environmental Toxicology OMEGAM Environmental Research Institute Institut National de l'Environnement Industriel et des Risques (INERIS) Soil and Water Research DLO Winand Staring Centre for Integrated Land Department of Pharmacochemistry / Molecular Toxicology Division Free University |
format |
Article in Journal/Newspaper |
author |
Van Der Oost, Ron Vindimian, Eric Van Den Brink, Paul J. Satumalay, Karel Heida, Henk Vermeulen, Nico P.E. |
author_facet |
Van Der Oost, Ron Vindimian, Eric Van Den Brink, Paul J. Satumalay, Karel Heida, Henk Vermeulen, Nico P.E. |
author_sort |
Van Der Oost, Ron |
title |
Biomonitoring aquatic pollution with feral eel (Anguilla anguilla) III Statistical analyses of relationships between contaminant exposure and biomarkers |
title_short |
Biomonitoring aquatic pollution with feral eel (Anguilla anguilla) III Statistical analyses of relationships between contaminant exposure and biomarkers |
title_full |
Biomonitoring aquatic pollution with feral eel (Anguilla anguilla) III Statistical analyses of relationships between contaminant exposure and biomarkers |
title_fullStr |
Biomonitoring aquatic pollution with feral eel (Anguilla anguilla) III Statistical analyses of relationships between contaminant exposure and biomarkers |
title_full_unstemmed |
Biomonitoring aquatic pollution with feral eel (Anguilla anguilla) III Statistical analyses of relationships between contaminant exposure and biomarkers |
title_sort |
biomonitoring aquatic pollution with feral eel (anguilla anguilla) iii statistical analyses of relationships between contaminant exposure and biomarkers |
publisher |
HAL CCSD |
publishDate |
1997 |
url |
https://doi.org/10.1016/S0166-445X(96)00851-X https://hal-ineris.archives-ouvertes.fr/ineris-00962685 |
genre |
Anguilla anguilla |
genre_facet |
Anguilla anguilla |
op_source |
Hyper Article en Ligne - Sciences de l'Homme et de la Société ISSN: 0166-445X Aquatic Toxicology Aquatic Toxicology, Elsevier, 1997, 39 (1), pp.45-75. ⟨10.1016/S0166-445X(96)00851-X⟩ |
op_relation |
ineris-00962685 doi:10.1016/S0166-445X(96)00851-X INERIS: PU-1997-059 10670/1.j3u01x https://hal-ineris.archives-ouvertes.fr/ineris-00962685 |
op_rights |
undefined |
op_doi |
https://doi.org/10.1016/S0166-445X(96)00851-X |
container_title |
Aquatic Toxicology |
container_volume |
39 |
container_issue |
1 |
container_start_page |
45 |
op_container_end_page |
75 |
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1766395916000952320 |