Determination and multivariate statistical analysis of biochemical responses to environmental contaminants in feral freshwater fish Leuciscus cephalus L.
Identifieur interne : 001404 ( Istex/Corpus ); précédent : 001403; suivant : 001405Determination and multivariate statistical analysis of biochemical responses to environmental contaminants in feral freshwater fish Leuciscus cephalus L.
Auteurs : Miroslav Machala ; Ladislav Dusek ; Klara Hilscherova ; Renata Kubinova ; Pavel Jurajda ; Jiri Neca ; Robert Ulrich ; Milan Gelnar ; Zdena Studnickova ; Ivan HoloubekSource :
- Environmental Toxicology and Chemistry [ 0730-7268 ] ; 2001-05.
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- KwdEn :
Abstract
Modulations of 11 prospective biochemical markers of impacts of aquatic pollutants in liver tissue of chub (Leuciscus cephalus), caught at several sampling sites of a river with various pollution types and rates, were matched against analytical data of concentrations of organochlorine compounds, polycyclic aromatic hydrocarbons (PAHs), and heavy metals. Multivariate principal component analysis (PCA) of the field data showed general patterns of biochemical responses to different types of pollutants and relationships among the biomarkers. Cytochrome P4501A‐dependent 7‐ethoxyresorufin O‐deethylase (EROD) activity, inducible by 2,3,7,8‐tetrachlorodibenzo‐p‐dioxin and structurally related planar compounds, was strongly enhanced in the more contaminated areas. Compared with polychlorinated aromatic hydrocarbons, PAHs did not contribute so significantly to EROD induction. Testosterone 6β‐ and 16α‐hydroxylase activities, as an expression of the cytochrome P4503A27, were slightly increased at several sites but were significantly decreased in samples from some heavily polluted areas. Recently, these activities have been suggested as potential biomarkers of exposure to contaminants that do not induce cytochrome P4501A. In this study, their inhibition or induction was not associated with a specific class of monitored contaminants, and selectivities of these modulations are still to be investigated. Similar modulations of the prospective biochemical indicators of oxidative stress, including microsomal glutathione S‐transferase activity, cytosolic glutathione S‐transferase with ethacrynic acid, and glutathione reductase, were demonstrated by PCA. The pattern of the modulations of the microsomal nicotinamide adenine dinucleotide phosphate (NADPH)‐dependent lipid peroxidation in vitro differed from the responses of the rest of oxidative stress parameters at some sampling sites. Further biochemical markers of oxidative stress under study, including in vivo lipid peroxidation, in vitro production of reactive oxygen species, and the concentration of metallothioneins did not correlate well with the concentrations of the contaminants. Principal component analysis demonstrated that the EROD activity, glutathione‐dependent enzymes, and Fe(II)‐enhanced lipid peroxidation formed a suitable battery of biomarkers of exposure.
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DOI: 10.1002/etc.5620200528
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Multivariate principal component analysis (PCA) of the field data showed general patterns of biochemical responses to different types of pollutants and relationships among the biomarkers. Cytochrome P4501A‐dependent 7‐ethoxyresorufin O‐deethylase (EROD) activity, inducible by 2,3,7,8‐tetrachlorodibenzo‐p‐dioxin and structurally related planar compounds, was strongly enhanced in the more contaminated areas. Compared with polychlorinated aromatic hydrocarbons, PAHs did not contribute so significantly to EROD induction. Testosterone 6β‐ and 16α‐hydroxylase activities, as an expression of the cytochrome P4503A27, were slightly increased at several sites but were significantly decreased in samples from some heavily polluted areas. Recently, these activities have been suggested as potential biomarkers of exposure to contaminants that do not induce cytochrome P4501A. In this study, their inhibition or induction was not associated with a specific class of monitored contaminants, and selectivities of these modulations are still to be investigated. Similar modulations of the prospective biochemical indicators of oxidative stress, including microsomal glutathione S‐transferase activity, cytosolic glutathione S‐transferase with ethacrynic acid, and glutathione reductase, were demonstrated by PCA. The pattern of the modulations of the microsomal nicotinamide adenine dinucleotide phosphate (NADPH)‐dependent lipid peroxidation in vitro differed from the responses of the rest of oxidative stress parameters at some sampling sites. Further biochemical markers of oxidative stress under study, including in vivo lipid peroxidation, in vitro production of reactive oxygen species, and the concentration of metallothioneins did not correlate well with the concentrations of the contaminants. 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Multivariate principal component analysis (PCA) of the field data showed general patterns of biochemical responses to different types of pollutants and relationships among the biomarkers. Cytochrome P4501A‐dependent 7‐ethoxyresorufin O‐deethylase (EROD) activity, inducible by 2,3,7,8‐tetrachlorodibenzo‐p‐dioxin and structurally related planar compounds, was strongly enhanced in the more contaminated areas. Compared with polychlorinated aromatic hydrocarbons, PAHs did not contribute so significantly to EROD induction. Testosterone 6β‐ and 16α‐hydroxylase activities, as an expression of the cytochrome P4503A27, were slightly increased at several sites but were significantly decreased in samples from some heavily polluted areas. Recently, these activities have been suggested as potential biomarkers of exposure to contaminants that do not induce cytochrome P4501A. In this study, their inhibition or induction was not associated with a specific class of monitored contaminants, and selectivities of these modulations are still to be investigated. Similar modulations of the prospective biochemical indicators of oxidative stress, including microsomal glutathione S‐transferase activity, cytosolic glutathione S‐transferase with ethacrynic acid, and glutathione reductase, were demonstrated by PCA. The pattern of the modulations of the microsomal nicotinamide adenine dinucleotide phosphate (NADPH)‐dependent lipid peroxidation in vitro differed from the responses of the rest of oxidative stress parameters at some sampling sites. Further biochemical markers of oxidative stress under study, including in vivo lipid peroxidation, in vitro production of reactive oxygen species, and the concentration of metallothioneins did not correlate well with the concentrations of the contaminants. 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Multivariate principal component analysis (PCA) of the field data showed general patterns of biochemical responses to different types of pollutants and relationships among the biomarkers. Cytochrome P4501A‐dependent 7‐ethoxyresorufin O‐deethylase (EROD) activity, inducible by 2,3,7,8‐tetrachlorodibenzo‐p‐dioxin and structurally related planar compounds, was strongly enhanced in the more contaminated areas. Compared with polychlorinated aromatic hydrocarbons, PAHs did not contribute so significantly to EROD induction. Testosterone 6β‐ and 16α‐hydroxylase activities, as an expression of the cytochrome P4503A27, were slightly increased at several sites but were significantly decreased in samples from some heavily polluted areas. Recently, these activities have been suggested as potential biomarkers of exposure to contaminants that do not induce cytochrome P4501A. In this study, their inhibition or induction was not associated with a specific class of monitored contaminants, and selectivities of these modulations are still to be investigated. Similar modulations of the prospective biochemical indicators of oxidative stress, including microsomal glutathione S‐transferase activity, cytosolic glutathione S‐transferase with ethacrynic acid, and glutathione reductase, were demonstrated by PCA. The pattern of the modulations of the microsomal nicotinamide adenine dinucleotide phosphate (NADPH)‐dependent lipid peroxidation in vitro differed from the responses of the rest of oxidative stress parameters at some sampling sites. Further biochemical markers of oxidative stress under study, including in vivo lipid peroxidation, in vitro production of reactive oxygen species, and the concentration of metallothioneins did not correlate well with the concentrations of the contaminants. Principal component analysis demonstrated that the EROD activity, glutathione‐dependent enzymes, and Fe(II)‐enhanced lipid peroxidation formed a suitable battery of biomarkers of exposure.</p></abstract><textClass xml:lang="en"><keywords scheme="keyword"><list><head>keywords</head><item><term>CYP1A</term></item><item><term>Testosterone</term></item><item><term>Glutathione enzymes</term></item><item><term>Oxidative stress</term></item><item><term>Biomarker</term></item></list></keywords></textClass><textClass><keywords scheme="Journal Subject"><list><head>article-category</head><item><term>Hazard/Risk Assessment</term></item></list></keywords></textClass></profileDesc><revisionDesc><change when="1999-12-01">Received</change><change when="2000-10-13">Registration</change><change 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type="manuscriptReceived" date="1999-12-01"></event><event type="manuscriptAccepted" date="2000-10-13"></event><event type="firstOnline" date="2009-11-03"></event><event type="publishedOnlineFinalForm" date="2009-11-03"></event><event type="xmlConverted" agent="Converter:JWSART34_TO_WML3G version:2.3.5 mode:FullText source:FullText result:FullText" date="2010-04-09"></event><event type="xmlConverted" agent="Converter:WILEY_ML3G_TO_WILEY_ML3GV2 version:3.8.8" date="2014-01-25"></event><event type="xmlConverted" agent="Converter:WML3G_To_WML3G version:4.1.7 mode:FullText,remove_FC" date="2014-10-16"></event></eventGroup><numberingGroup><numbering type="pageFirst">1141</numbering><numbering type="pageLast">1148</numbering></numberingGroup><correspondenceTo>Veterinary Research Institute, 62132 Brno, Czech Republic</correspondenceTo><linkGroup><link type="toTypesetVersion" href="file:ETC.ETC5620200528.pdf"></link></linkGroup></publicationMeta><contentMeta><countGroup><count type="figureTotal" number="6"></count><count type="tableTotal" number="1"></count><count type="referenceTotal" number="44"></count></countGroup><titleGroup><title type="main" xml:lang="en">Determination and multivariate statistical analysis of biochemical responses to environmental contaminants in feral freshwater fish <i>Leuciscus cephalus</i> L.</title><title type="short" xml:lang="en">Biomarkers of contamination in feral fish</title></titleGroup><creators><creator xml:id="au1" creatorRole="author" affiliationRef="#af1" corresponding="yes"><personName><givenNames>Miroslav</givenNames><familyName>Machala</familyName></personName><contactDetails><email>machala@vri.cz</email></contactDetails></creator><creator xml:id="au2" creatorRole="author" affiliationRef="#af2 #af3"><personName><givenNames>Ladislav</givenNames><familyName>Dusek</familyName></personName></creator><creator xml:id="au3" creatorRole="author" affiliationRef="#af2 #af3"><personName><givenNames>Klara</givenNames><familyName>Hilscherova</familyName></personName></creator><creator xml:id="au4" creatorRole="author" affiliationRef="#af4"><personName><givenNames>Renata</givenNames><familyName>Kubinova</familyName></personName></creator><creator xml:id="au5" creatorRole="author" affiliationRef="#af5"><personName><givenNames>Pavel</givenNames><familyName>Jurajda</familyName></personName></creator><creator xml:id="au6" creatorRole="author" affiliationRef="#af1"><personName><givenNames>Jiri</givenNames><familyName>Neca</familyName></personName></creator><creator xml:id="au7" creatorRole="author" affiliationRef="#af1"><personName><givenNames>Robert</givenNames><familyName>Ulrich</familyName></personName></creator><creator xml:id="au8" creatorRole="author" affiliationRef="#af2"><personName><givenNames>Milan</givenNames><familyName>Gelnar</familyName></personName></creator><creator xml:id="au9" creatorRole="author" affiliationRef="#af2"><personName><givenNames>Zdena</givenNames><familyName>Studnickova</familyName></personName></creator><creator xml:id="au10" creatorRole="author" affiliationRef="#af2 #af3"><personName><givenNames>Ivan</givenNames><familyName>Holoubek</familyName></personName></creator></creators><affiliationGroup><affiliation xml:id="af1" countryCode="CZ" type="organization"><unparsedAffiliation>Veterinary Research Institute, 62132 Brno, Czech Republic</unparsedAffiliation></affiliation><affiliation xml:id="af2" countryCode="CZ" type="organization"><unparsedAffiliation>Masaryk University, Faculty of Science 61137 Brno Czech Republic</unparsedAffiliation></affiliation><affiliation xml:id="af3" countryCode="CZ" type="organization"><unparsedAffiliation>RECETOX‐TOCOEN, 61137 Brno, Czech Republic</unparsedAffiliation></affiliation><affiliation xml:id="af4" countryCode="CZ" type="organization"><unparsedAffiliation>Veterinary and Pharmaceutical University, 61200 Brno, Czech Republic</unparsedAffiliation></affiliation><affiliation xml:id="af5" countryCode="CZ" type="organization"><unparsedAffiliation>Landscape Ecology Institute, Academy of Sciences of the Czech Republic, Brno, Czech Republic</unparsedAffiliation></affiliation></affiliationGroup><keywordGroup xml:lang="en" type="author"><keyword xml:id="kwd1">CYP1A</keyword><keyword xml:id="kwd2">Testosterone</keyword><keyword xml:id="kwd3">Glutathione enzymes</keyword><keyword xml:id="kwd4">Oxidative stress</keyword><keyword xml:id="kwd5">Biomarker</keyword></keywordGroup><abstractGroup><abstract type="main" xml:lang="en"><title type="main">Abstract</title><p>Modulations of 11 prospective biochemical markers of impacts of aquatic pollutants in liver tissue of chub (<i>Leuciscus cephalus</i>), caught at several sampling sites of a river with various pollution types and rates, were matched against analytical data of concentrations of organochlorine compounds, polycyclic aromatic hydrocarbons (PAHs), and heavy metals. Multivariate principal component analysis (PCA) of the field data showed general patterns of biochemical responses to different types of pollutants and relationships among the biomarkers. Cytochrome P4501A‐dependent 7‐ethoxyresorufin <i>O</i>‐deethylase (EROD) activity, inducible by 2,3,7,8‐tetrachlorodibenzo‐<i>p</i>‐dioxin and structurally related planar compounds, was strongly enhanced in the more contaminated areas. Compared with polychlorinated aromatic hydrocarbons, PAHs did not contribute so significantly to EROD induction. Testosterone 6β‐ and 16α‐hydroxylase activities, as an expression of the cytochrome P4503A27, were slightly increased at several sites but were significantly decreased in samples from some heavily polluted areas. Recently, these activities have been suggested as potential biomarkers of exposure to contaminants that do not induce cytochrome P4501A. In this study, their inhibition or induction was not associated with a specific class of monitored contaminants, and selectivities of these modulations are still to be investigated. Similar modulations of the prospective biochemical indicators of oxidative stress, including microsomal glutathione S‐transferase activity, cytosolic glutathione <i>S</i>‐transferase with ethacrynic acid, and glutathione reductase, were demonstrated by PCA. The pattern of the modulations of the microsomal nicotinamide adenine dinucleotide phosphate (NADPH)‐dependent lipid peroxidation in vitro differed from the responses of the rest of oxidative stress parameters at some sampling sites. Further biochemical markers of oxidative stress under study, including in vivo lipid peroxidation, in vitro production of reactive oxygen species, and the concentration of metallothioneins did not correlate well with the concentrations of the contaminants. Principal component analysis demonstrated that the EROD activity, glutathione‐dependent enzymes, and Fe(II)‐enhanced lipid peroxidation formed a suitable battery of biomarkers of exposure.</p></abstract></abstractGroup></contentMeta></header></component></istex:document></istex:metadataXml><mods version="3.6"><titleInfo lang="en"><title>Determination and multivariate statistical analysis of biochemical responses to environmental contaminants in feral freshwater fish Leuciscus cephalus L.</title></titleInfo><titleInfo type="abbreviated" lang="en"><title>Biomarkers of contamination in feral fish</title></titleInfo><titleInfo type="alternative" contentType="CDATA" lang="en"><title>Determination and multivariate statistical analysis of biochemical responses to environmental contaminants in feral freshwater fish Leuciscus cephalus L.</title></titleInfo><name type="personal"><namePart type="given">Miroslav</namePart><namePart type="family">Machala</namePart><affiliation>Veterinary Research Institute, 62132 Brno, Czech Republic</affiliation><affiliation>Veterinary Research Institute, 62132 Brno, Czech Republic</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Ladislav</namePart><namePart type="family">Dusek</namePart><affiliation>Masaryk University, Faculty of Science 61137 Brno Czech Republic</affiliation><affiliation>RECETOX‐TOCOEN, 61137 Brno, Czech Republic</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Klara</namePart><namePart type="family">Hilscherova</namePart><affiliation>Masaryk University, Faculty of Science 61137 Brno Czech Republic</affiliation><affiliation>RECETOX‐TOCOEN, 61137 Brno, Czech Republic</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Renata</namePart><namePart type="family">Kubinova</namePart><affiliation>Veterinary and Pharmaceutical University, 61200 Brno, Czech Republic</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Pavel</namePart><namePart type="family">Jurajda</namePart><affiliation>Landscape Ecology Institute, Academy of Sciences of the Czech Republic, Brno, Czech Republic</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Jiri</namePart><namePart type="family">Neca</namePart><affiliation>Veterinary Research Institute, 62132 Brno, Czech Republic</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Robert</namePart><namePart type="family">Ulrich</namePart><affiliation>Veterinary Research Institute, 62132 Brno, Czech Republic</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Milan</namePart><namePart type="family">Gelnar</namePart><affiliation>Masaryk University, Faculty of Science 61137 Brno Czech Republic</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Zdena</namePart><namePart type="family">Studnickova</namePart><affiliation>Masaryk University, Faculty of Science 61137 Brno Czech Republic</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Ivan</namePart><namePart type="family">Holoubek</namePart><affiliation>Masaryk University, Faculty of Science 61137 Brno Czech Republic</affiliation><affiliation>RECETOX‐TOCOEN, 61137 Brno, Czech Republic</affiliation><role><roleTerm type="text">author</roleTerm></role></name><typeOfResource>text</typeOfResource><genre type="article" displayLabel="article"></genre><originInfo><publisher>Wiley Periodicals, Inc.</publisher><place><placeTerm type="text">Hoboken</placeTerm></place><dateIssued encoding="w3cdtf">2001-05</dateIssued><dateCaptured encoding="w3cdtf">1999-12-01</dateCaptured><dateValid encoding="w3cdtf">2000-10-13</dateValid><copyrightDate encoding="w3cdtf">2001</copyrightDate></originInfo><language><languageTerm type="code" authority="rfc3066">en</languageTerm><languageTerm type="code" authority="iso639-2b">eng</languageTerm></language><physicalDescription><internetMediaType>text/html</internetMediaType><extent unit="figures">6</extent><extent unit="tables">1</extent><extent unit="references">44</extent></physicalDescription><abstract lang="en">Modulations of 11 prospective biochemical markers of impacts of aquatic pollutants in liver tissue of chub (Leuciscus cephalus), caught at several sampling sites of a river with various pollution types and rates, were matched against analytical data of concentrations of organochlorine compounds, polycyclic aromatic hydrocarbons (PAHs), and heavy metals. Multivariate principal component analysis (PCA) of the field data showed general patterns of biochemical responses to different types of pollutants and relationships among the biomarkers. Cytochrome P4501A‐dependent 7‐ethoxyresorufin O‐deethylase (EROD) activity, inducible by 2,3,7,8‐tetrachlorodibenzo‐p‐dioxin and structurally related planar compounds, was strongly enhanced in the more contaminated areas. Compared with polychlorinated aromatic hydrocarbons, PAHs did not contribute so significantly to EROD induction. Testosterone 6β‐ and 16α‐hydroxylase activities, as an expression of the cytochrome P4503A27, were slightly increased at several sites but were significantly decreased in samples from some heavily polluted areas. Recently, these activities have been suggested as potential biomarkers of exposure to contaminants that do not induce cytochrome P4501A. In this study, their inhibition or induction was not associated with a specific class of monitored contaminants, and selectivities of these modulations are still to be investigated. Similar modulations of the prospective biochemical indicators of oxidative stress, including microsomal glutathione S‐transferase activity, cytosolic glutathione S‐transferase with ethacrynic acid, and glutathione reductase, were demonstrated by PCA. The pattern of the modulations of the microsomal nicotinamide adenine dinucleotide phosphate (NADPH)‐dependent lipid peroxidation in vitro differed from the responses of the rest of oxidative stress parameters at some sampling sites. Further biochemical markers of oxidative stress under study, including in vivo lipid peroxidation, in vitro production of reactive oxygen species, and the concentration of metallothioneins did not correlate well with the concentrations of the contaminants. Principal component analysis demonstrated that the EROD activity, glutathione‐dependent enzymes, and Fe(II)‐enhanced lipid peroxidation formed a suitable battery of biomarkers of exposure.</abstract><subject lang="en"><genre>keywords</genre><topic>CYP1A</topic><topic>Testosterone</topic><topic>Glutathione enzymes</topic><topic>Oxidative stress</topic><topic>Biomarker</topic></subject><relatedItem type="host"><titleInfo><title>Environmental Toxicology and Chemistry</title><subTitle>An International Journal</subTitle></titleInfo><titleInfo type="abbreviated"><title>Environmental Toxicology and Chemistry</title></titleInfo><genre type="journal">journal</genre><subject><genre>article-category</genre><topic>Hazard/Risk Assessment</topic></subject><identifier type="ISSN">0730-7268</identifier><identifier type="eISSN">1552-8618</identifier><identifier type="DOI">10.1002/(ISSN)1552-8618</identifier><identifier type="PublisherID">ETC</identifier><part><date>2001</date><detail type="volume"><caption>vol.</caption><number>20</number></detail><detail type="issue"><caption>no.</caption><number>5</number></detail><extent unit="pages"><start>1141</start><end>1148</end><total>8</total></extent></part></relatedItem><identifier type="istex">3AE8F545906E07F2F216543FDEE8B60B8939F4E7</identifier><identifier type="DOI">10.1002/etc.5620200528</identifier><identifier type="ArticleID">ETC5620200528</identifier><accessCondition type="use and reproduction" contentType="copyright">Copyright © 2001 SETAC</accessCondition><recordInfo><recordContentSource>WILEY</recordContentSource><recordOrigin>Wiley Periodicals, Inc.</recordOrigin></recordInfo></mods></metadata><serie></serie></istex></record>Pour manipuler ce document sous Unix (Dilib)
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