SuicidDentistV1, Main, Exploration, bibRecord, 000154

Genetic polymorphisms are associated with hair, blood, and urine mercury levels in the American Dental Association (ADA) study participants.

Identifieur interne : 000154 ( Main/Exploration ); précédent : 000153; suivant : 000155

Genetic polymorphisms are associated with hair, blood, and urine mercury levels in the American Dental Association (ADA) study participants.

Auteurs : Rajendra Prasad Parajuli [Canada] ; Jaclyn M. Goodrich [États-Unis] ; Hwai-Nan Chou [États-Unis] ; Stephen E. Gruninger [États-Unis] ; Dana C. Dolinoy [États-Unis] ; Alfred Franzblau [États-Unis] ; Niladri Basu [États-Unis]

Source :

Environmental research [ 1096-0953 ] ; 2016.

RBID : pubmed:26673400

Descripteurs français

KwdFr :
- Association dentaire américaine (MeSH), Composés méthylés du mercure (métabolisme), Composés méthylés du mercure (sang), Composés méthylés du mercure (urine), Dentistes (MeSH), Exposition environnementale (MeSH), Exposition professionnelle (MeSH), Génotype (MeSH), Marqueurs biologiques (métabolisme), Marqueurs biologiques (sang), Marqueurs biologiques (urine), Mercure (métabolisme), Mercure (sang), Mercure (urine), Poils (composition chimique), Polymorphisme de nucléotide simple (MeSH), États-Unis (MeSH).
MESH :
- composition chimique : Poils.
- métabolisme : Composés méthylés du mercure, Marqueurs biologiques, Mercure.
- sang : Composés méthylés du mercure, Marqueurs biologiques, Mercure.
- urine : Composés méthylés du mercure, Marqueurs biologiques, Mercure.
- Association dentaire américaine, Dentistes, Exposition environnementale, Exposition professionnelle, Génotype, Polymorphisme de nucléotide simple, États-Unis.

English descriptors

KwdEn :
- American Dental Association (MeSH), Biomarkers (blood), Biomarkers (metabolism), Biomarkers (urine), Dentists (MeSH), Environmental Exposure (MeSH), Genotype (MeSH), Hair (chemistry), Mercury (blood), Mercury (metabolism), Mercury (urine), Methylmercury Compounds (blood), Methylmercury Compounds (metabolism), Methylmercury Compounds (urine), Occupational Exposure (MeSH), Polymorphism, Single Nucleotide (MeSH), United States (MeSH).
MESH :
- chemical , blood : Biomarkers, Mercury, Methylmercury Compounds.
- chemical , metabolism : Biomarkers, Mercury, Methylmercury Compounds.
- chemical , urine : Biomarkers, Mercury, Methylmercury Compounds.
- chemistry : Hair.
- American Dental Association, Dentists, Environmental Exposure, Genotype, Occupational Exposure, Polymorphism, Single Nucleotide, United States.

Abstract

BACKGROUND/AIMS

Mercury (Hg) is a potent toxicant of concern to the general public. Recent studies suggest that several genes that mediate Hg metabolism are polymorphic. We hypothesize that single nucleotide polymorphisms (SNPs) in such genes may underline inter-individual differences in exposure biomarker concentrations.

METHODS

Dental professionals were recruited during the American Dental Association (ADA) 2012 Annual Meeting. Samples of hair, blood, and urine were collected for quantifying Hg levels and genotyping (88 SNPs in classes relevant to Hg toxicokinetics including glutathione metabolism, selenoproteins, metallothioneins, and xenobiotic transporters). Questionnaires were administrated to obtain information on demographics and sources of Hg exposure (e.g., fish consumption and use of dental amalgam). Here, we report results for 380 participants with complete genotype and Hg biomarker datasets. ANOVA and linear regressions were used for statistical analysis.

RESULTS

Mean (geometric) Hg levels in hair (hHg), blood (bHg), urine (uHg), and the average estimated Hg intake from fish were 0.62µg/g, 3.75µg/L, 1.32µg/L, and 0.12µg/kg body weight/day, respectively. Out of 88 SNPs successfully genotyped, Hg biomarker levels differed by genotype for 25 SNPs, one of which remained significant following Bonferroni correction in ANOVA. When the associations between sources of Hg exposure and SNPs were analyzed with respect to Hg biomarker concentrations, 38 SNPs had significant main effects and/or gene-Hg exposure source interactions. Twenty-five, 23, and four SNPs showed significant main effects and/or interactions for hHg, bHg, and uHg levels, respectively (p<0.05), and six SNPs (in GCLC, MT1M, MT4, ATP7B, and BDNF) remained significant following Bonferroni correction.

CONCLUSION

The findings suggest that polymorphisms in environmentally-responsive genes can influence Hg biomarker levels. Hence, consideration of such gene-environment factors may improve the ability to assess the health risks of Hg more precisely.

DOI: 10.1016/j.envres.2015.11.032
PubMed: 26673400
PubMed Central: PMC4897752

Affiliations:

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<series><title level="j">Environmental research</title>
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<profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>American Dental Association (MeSH)</term>
<term>Biomarkers (blood)</term>
<term>Biomarkers (metabolism)</term>
<term>Biomarkers (urine)</term>
<term>Dentists (MeSH)</term>
<term>Environmental Exposure (MeSH)</term>
<term>Genotype (MeSH)</term>
<term>Hair (chemistry)</term>
<term>Mercury (blood)</term>
<term>Mercury (metabolism)</term>
<term>Mercury (urine)</term>
<term>Methylmercury Compounds (blood)</term>
<term>Methylmercury Compounds (metabolism)</term>
<term>Methylmercury Compounds (urine)</term>
<term>Occupational Exposure (MeSH)</term>
<term>Polymorphism, Single Nucleotide (MeSH)</term>
<term>United States (MeSH)</term>
</keywords>
<keywords scheme="KwdFr" xml:lang="fr"><term>Association dentaire américaine (MeSH)</term>
<term>Composés méthylés du mercure (métabolisme)</term>
<term>Composés méthylés du mercure (sang)</term>
<term>Composés méthylés du mercure (urine)</term>
<term>Dentistes (MeSH)</term>
<term>Exposition environnementale (MeSH)</term>
<term>Exposition professionnelle (MeSH)</term>
<term>Génotype (MeSH)</term>
<term>Marqueurs biologiques (métabolisme)</term>
<term>Marqueurs biologiques (sang)</term>
<term>Marqueurs biologiques (urine)</term>
<term>Mercure (métabolisme)</term>
<term>Mercure (sang)</term>
<term>Mercure (urine)</term>
<term>Poils (composition chimique)</term>
<term>Polymorphisme de nucléotide simple (MeSH)</term>
<term>États-Unis (MeSH)</term>
</keywords>
<keywords scheme="MESH" type="chemical" qualifier="blood" xml:lang="en"><term>Biomarkers</term>
<term>Mercury</term>
<term>Methylmercury Compounds</term>
</keywords>
<keywords scheme="MESH" type="chemical" qualifier="metabolism" xml:lang="en"><term>Biomarkers</term>
<term>Mercury</term>
<term>Methylmercury Compounds</term>
</keywords>
<keywords scheme="MESH" type="chemical" qualifier="urine" xml:lang="en"><term>Biomarkers</term>
<term>Mercury</term>
<term>Methylmercury Compounds</term>
</keywords>
<keywords scheme="MESH" qualifier="chemistry" xml:lang="en"><term>Hair</term>
</keywords>
<keywords scheme="MESH" qualifier="composition chimique" xml:lang="fr"><term>Poils</term>
</keywords>
<keywords scheme="MESH" qualifier="métabolisme" xml:lang="fr"><term>Composés méthylés du mercure</term>
<term>Marqueurs biologiques</term>
<term>Mercure</term>
</keywords>
<keywords scheme="MESH" qualifier="sang" xml:lang="fr"><term>Composés méthylés du mercure</term>
<term>Marqueurs biologiques</term>
<term>Mercure</term>
</keywords>
<keywords scheme="MESH" qualifier="urine" xml:lang="fr"><term>Composés méthylés du mercure</term>
<term>Marqueurs biologiques</term>
<term>Mercure</term>
</keywords>
<keywords scheme="MESH" xml:lang="en"><term>American Dental Association</term>
<term>Dentists</term>
<term>Environmental Exposure</term>
<term>Genotype</term>
<term>Occupational Exposure</term>
<term>Polymorphism, Single Nucleotide</term>
<term>United States</term>
</keywords>
<keywords scheme="MESH" xml:lang="fr"><term>Association dentaire américaine</term>
<term>Dentistes</term>
<term>Exposition environnementale</term>
<term>Exposition professionnelle</term>
<term>Génotype</term>
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<front><div type="abstract" xml:lang="en"><p><b>BACKGROUND/AIMS</b>
</p>
<p>Mercury (Hg) is a potent toxicant of concern to the general public. Recent studies suggest that several genes that mediate Hg metabolism are polymorphic. We hypothesize that single nucleotide polymorphisms (SNPs) in such genes may underline inter-individual differences in exposure biomarker concentrations.</p>
</div>
<div type="abstract" xml:lang="en"><p><b>METHODS</b>
</p>
<p>Dental professionals were recruited during the American Dental Association (ADA) 2012 Annual Meeting. Samples of hair, blood, and urine were collected for quantifying Hg levels and genotyping (88 SNPs in classes relevant to Hg toxicokinetics including glutathione metabolism, selenoproteins, metallothioneins, and xenobiotic transporters). Questionnaires were administrated to obtain information on demographics and sources of Hg exposure (e.g., fish consumption and use of dental amalgam). Here, we report results for 380 participants with complete genotype and Hg biomarker datasets. ANOVA and linear regressions were used for statistical analysis.</p>
</div>
<div type="abstract" xml:lang="en"><p><b>RESULTS</b>
</p>
<p>Mean (geometric) Hg levels in hair (hHg), blood (bHg), urine (uHg), and the average estimated Hg intake from fish were 0.62µg/g, 3.75µg/L, 1.32µg/L, and 0.12µg/kg body weight/day, respectively. Out of 88 SNPs successfully genotyped, Hg biomarker levels differed by genotype for 25 SNPs, one of which remained significant following Bonferroni correction in ANOVA. When the associations between sources of Hg exposure and SNPs were analyzed with respect to Hg biomarker concentrations, 38 SNPs had significant main effects and/or gene-Hg exposure source interactions. Twenty-five, 23, and four SNPs showed significant main effects and/or interactions for hHg, bHg, and uHg levels, respectively (p<0.05), and six SNPs (in GCLC, MT1M, MT4, ATP7B, and BDNF) remained significant following Bonferroni correction.</p>
</div>
<div type="abstract" xml:lang="en"><p><b>CONCLUSION</b>
</p>
<p>The findings suggest that polymorphisms in environmentally-responsive genes can influence Hg biomarker levels. Hence, consideration of such gene-environment factors may improve the ability to assess the health risks of Hg more precisely.</p>
</div>
</front>
</TEI>
<pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">26673400</PMID>
<DateCompleted><Year>2017</Year>
<Month>04</Month>
<Day>28</Day>
</DateCompleted>
<DateRevised><Year>2018</Year>
<Month>11</Month>
<Day>13</Day>
</DateRevised>
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<JournalIssue CitedMedium="Internet"><Volume>149</Volume>
<PubDate><Year>2016</Year>
<Month>08</Month>
</PubDate>
</JournalIssue>
<Title>Environmental research</Title>
<ISOAbbreviation>Environ Res</ISOAbbreviation>
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<ArticleTitle>Genetic polymorphisms are associated with hair, blood, and urine mercury levels in the American Dental Association (ADA) study participants.</ArticleTitle>
<Pagination><MedlinePgn>247-258</MedlinePgn>
</Pagination>
<ELocationID EIdType="pii" ValidYN="Y">S0013-9351(15)30160-2</ELocationID>
<ELocationID EIdType="doi" ValidYN="Y">10.1016/j.envres.2015.11.032</ELocationID>
<Abstract><AbstractText Label="BACKGROUND/AIMS">Mercury (Hg) is a potent toxicant of concern to the general public. Recent studies suggest that several genes that mediate Hg metabolism are polymorphic. We hypothesize that single nucleotide polymorphisms (SNPs) in such genes may underline inter-individual differences in exposure biomarker concentrations.</AbstractText>
<AbstractText Label="METHODS">Dental professionals were recruited during the American Dental Association (ADA) 2012 Annual Meeting. Samples of hair, blood, and urine were collected for quantifying Hg levels and genotyping (88 SNPs in classes relevant to Hg toxicokinetics including glutathione metabolism, selenoproteins, metallothioneins, and xenobiotic transporters). Questionnaires were administrated to obtain information on demographics and sources of Hg exposure (e.g., fish consumption and use of dental amalgam). Here, we report results for 380 participants with complete genotype and Hg biomarker datasets. ANOVA and linear regressions were used for statistical analysis.</AbstractText>
<AbstractText Label="RESULTS">Mean (geometric) Hg levels in hair (hHg), blood (bHg), urine (uHg), and the average estimated Hg intake from fish were 0.62µg/g, 3.75µg/L, 1.32µg/L, and 0.12µg/kg body weight/day, respectively. Out of 88 SNPs successfully genotyped, Hg biomarker levels differed by genotype for 25 SNPs, one of which remained significant following Bonferroni correction in ANOVA. When the associations between sources of Hg exposure and SNPs were analyzed with respect to Hg biomarker concentrations, 38 SNPs had significant main effects and/or gene-Hg exposure source interactions. Twenty-five, 23, and four SNPs showed significant main effects and/or interactions for hHg, bHg, and uHg levels, respectively (p<0.05), and six SNPs (in GCLC, MT1M, MT4, ATP7B, and BDNF) remained significant following Bonferroni correction.</AbstractText>
<AbstractText Label="CONCLUSION">The findings suggest that polymorphisms in environmentally-responsive genes can influence Hg biomarker levels. Hence, consideration of such gene-environment factors may improve the ability to assess the health risks of Hg more precisely.</AbstractText>
<CopyrightInformation>Copyright © 2015 Elsevier Inc. All rights reserved.</CopyrightInformation>
</Abstract>
<AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Parajuli</LastName>
<ForeName>Rajendra Prasad</ForeName>
<Initials>RP</Initials>
<AffiliationInfo><Affiliation>Faculty of Agricultural and Environmental Sciences, McGill University, Montreal, Quebec, Canada. Electronic address: rp.parajuli@mcgill.ca.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Goodrich</LastName>
<ForeName>Jaclyn M</ForeName>
<Initials>JM</Initials>
<AffiliationInfo><Affiliation>Department of Environmental Health Sciences, Unisiversity of Michigan School of Public Health, Ann Arbor, MI, USA. Electronic address: gaydojac@umich.edu.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Chou</LastName>
<ForeName>Hwai-Nan</ForeName>
<Initials>HN</Initials>
<AffiliationInfo><Affiliation>American Dental Association, Chicago, IL, USA. Electronic address: chouh@ada.org.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Gruninger</LastName>
<ForeName>Stephen E</ForeName>
<Initials>SE</Initials>
<AffiliationInfo><Affiliation>American Dental Association, Chicago, IL, USA. Electronic address: gruningers@ada.org.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Dolinoy</LastName>
<ForeName>Dana C</ForeName>
<Initials>DC</Initials>
<AffiliationInfo><Affiliation>Department of Environmental Health Sciences, Unisiversity of Michigan School of Public Health, Ann Arbor, MI, USA; Department of Nutritional Sciences, University of Michigan School of Public Health, Ann Arbor, MI, USA. Electronic address: ddolinoy@umich.edu.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Franzblau</LastName>
<ForeName>Alfred</ForeName>
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	Serveur d'exploration sur le suicide chez les dentistes
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Serveur d'exploration sur le suicide chez les dentistes

Genetic polymorphisms are associated with hair, blood, and urine mercury levels in the American Dental Association (ADA) study participants.

Genetic polymorphisms are associated with hair, blood, and urine mercury levels in the American Dental Association (ADA) study participants.

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