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Glutathione enzyme and selenoprotein polymorphisms associate with mercury biomarker levels in Michigan dental professionals.

Identifieur interne : 000321 ( Main/Exploration ); précédent : 000320; suivant : 000322

Glutathione enzyme and selenoprotein polymorphisms associate with mercury biomarker levels in Michigan dental professionals.

Auteurs : Jaclyn M. Goodrich [États-Unis] ; Yi Wang ; Brenda Gillespie ; Robert Werner ; Alfred Franzblau ; Niladri Basu

Source :

RBID : pubmed:21967774

Descripteurs français

English descriptors

Abstract

Mercury is a potent toxicant of concern to both the general public and occupationally exposed workers (e.g., dentists). Recent studies suggest that several genes mediating the toxicokinetics of mercury are polymorphic in humans and may influence inter-individual variability in mercury accumulation. This work hypothesizes that polymorphisms in key glutathione synthesizing enzyme, glutathione S-transferase, and selenoprotein genes underlie inter-individual differences in mercury body burden as assessed by analytical mercury measurement in urine and hair, biomarkers of elemental mercury and methylmercury, respectively. Urine and hair samples were collected from a population of dental professionals (n=515), and total mercury content was measured. Average urine (1.06±1.24 microg/L) and hair mercury levels (0.49±0.63 microg/g) were similar to national U.S. population averages. Taqman assays were used to genotype DNA from buccal swab samples at 15 polymorphic sites in genes implicated in mercury metabolism. Linear regression modeling assessed the ability of polymorphisms to modify the relationship between mercury biomarker levels and exposure sources (e.g., amalgams, fish consumption). Five polymorphisms were significantly associated with urine mercury levels (GSTT1 deletion), hair mercury levels (GSTP1-105, GSTP1-114, GSS 5'), or both (SEPP1 3'UTR). Overall, this study suggests that polymorphisms in selenoproteins and glutathione-related genes may influence elimination of mercury in the urine and hair or mercury retention following exposures to elemental mercury (via dental amalgams) and methylmercury (via fish consumption).

DOI: 10.1016/j.taap.2011.09.014
PubMed: 21967774
PubMed Central: PMC3324924


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Le document en format XML

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<term>Female (MeSH)</term>
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<term>Composés méthylés du mercure (urine)</term>
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<term>Glutathione S-transferase pi (urine)</term>
<term>Glutathione transferase (génétique)</term>
<term>Glutathione transferase (urine)</term>
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<term>Mercure (urine)</term>
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<term>Mâle (MeSH)</term>
<term>Personnel dentaire (MeSH)</term>
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<term>Poils (effets des médicaments et des substances chimiques)</term>
<term>Polymorphisme génétique (effets des médicaments et des substances chimiques)</term>
<term>Polymorphisme génétique (génétique)</term>
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<div type="abstract" xml:lang="en">Mercury is a potent toxicant of concern to both the general public and occupationally exposed workers (e.g., dentists). Recent studies suggest that several genes mediating the toxicokinetics of mercury are polymorphic in humans and may influence inter-individual variability in mercury accumulation. This work hypothesizes that polymorphisms in key glutathione synthesizing enzyme, glutathione S-transferase, and selenoprotein genes underlie inter-individual differences in mercury body burden as assessed by analytical mercury measurement in urine and hair, biomarkers of elemental mercury and methylmercury, respectively. Urine and hair samples were collected from a population of dental professionals (n=515), and total mercury content was measured. Average urine (1.06±1.24 microg/L) and hair mercury levels (0.49±0.63 microg/g) were similar to national U.S. population averages. Taqman assays were used to genotype DNA from buccal swab samples at 15 polymorphic sites in genes implicated in mercury metabolism. Linear regression modeling assessed the ability of polymorphisms to modify the relationship between mercury biomarker levels and exposure sources (e.g., amalgams, fish consumption). Five polymorphisms were significantly associated with urine mercury levels (GSTT1 deletion), hair mercury levels (GSTP1-105, GSTP1-114, GSS 5'), or both (SEPP1 3'UTR). Overall, this study suggests that polymorphisms in selenoproteins and glutathione-related genes may influence elimination of mercury in the urine and hair or mercury retention following exposures to elemental mercury (via dental amalgams) and methylmercury (via fish consumption).</div>
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<Citation>J Am Dent Assoc. 2010 Apr;141(4):391-9</Citation>
<ArticleIdList>
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<Reference>
<Citation>Arch Environ Occup Health. 2005 Jan-Feb;60(1):17-23</Citation>
<ArticleIdList>
<ArticleId IdType="pubmed">16961004</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>Cent Eur J Public Health. 2009 Mar;17(1):36-40</Citation>
<ArticleIdList>
<ArticleId IdType="pubmed">19418718</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>PCR Methods Appl. 1995 Jun;4(6):357-62</Citation>
<ArticleIdList>
<ArticleId IdType="pubmed">7580930</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>Fundam Appl Toxicol. 1985 Oct;5(5):816-31</Citation>
<ArticleIdList>
<ArticleId IdType="pubmed">4065458</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>Environ Health Perspect. 2006 Feb;114(2):297-301</Citation>
<ArticleIdList>
<ArticleId IdType="pubmed">16451871</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>Am J Med Genet B Neuropsychiatr Genet. 2007 Oct 5;144B(7):885-90</Citation>
<ArticleIdList>
<ArticleId IdType="pubmed">17503480</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>FASEB J. 2007 Oct;21(12):3063-74</Citation>
<ArticleIdList>
<ArticleId IdType="pubmed">17536041</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>Toxicology. 2007 May 20;234(3):145-56</Citation>
<ArticleIdList>
<ArticleId IdType="pubmed">17408840</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>Arch Environ Health. 1972 Aug;25(2):77-91</Citation>
<ArticleIdList>
<ArticleId IdType="pubmed">5045067</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>Sci Total Environ. 2007 Oct 15;385(1-3):37-47</Citation>
<ArticleIdList>
<ArticleId IdType="pubmed">17716707</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>Environ Health. 2005;4:20</Citation>
<ArticleIdList>
<ArticleId IdType="pubmed">16202128</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>Environ Res. 2009 Aug;109(6):786-96</Citation>
<ArticleIdList>
<ArticleId IdType="pubmed">19515364</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>Environ Health Perspect. 2010 Mar;118(3):437-43</Citation>
<ArticleIdList>
<ArticleId IdType="pubmed">20194072</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>Twin Res Hum Genet. 2006 Aug;9(4):501-6</Citation>
<ArticleIdList>
<ArticleId IdType="pubmed">16899157</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>Arch Environ Health. 2004 Nov;59(11):588-95</Citation>
<ArticleIdList>
<ArticleId IdType="pubmed">16599007</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>J Biol Chem. 1997 Apr 11;272(15):10004-12</Citation>
<ArticleIdList>
<ArticleId IdType="pubmed">9092542</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>Am J Ind Med. 2007 Oct;50(10):757-64</Citation>
<ArticleIdList>
<ArticleId IdType="pubmed">17477364</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>Environ Health Perspect. 2004 Aug;112(11):1165-71</Citation>
<ArticleIdList>
<ArticleId IdType="pubmed">15289161</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>Crit Rev Toxicol. 2006 Sep;36(8):609-62</Citation>
<ArticleIdList>
<ArticleId IdType="pubmed">16973445</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>Environ Health Perspect. 2008 Jun;116(6):734-9</Citation>
<ArticleIdList>
<ArticleId IdType="pubmed">18560528</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>Arch Environ Health. 1976 Nov-Dec;31(6):302-9</Citation>
<ArticleIdList>
<ArticleId IdType="pubmed">999343</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>Sci Total Environ. 2010 Dec 1;409(1):70-7</Citation>
<ArticleIdList>
<ArticleId IdType="pubmed">20952048</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>Occup Environ Med. 1994 Apr;51(4):287</Citation>
<ArticleIdList>
<ArticleId IdType="pubmed">8199675</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>Sci Total Environ. 2010 Nov 15;408(24):6079-85</Citation>
<ArticleIdList>
<ArticleId IdType="pubmed">20875913</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>Environ Res. 2007 Feb;103(2):191-7</Citation>
<ArticleIdList>
<ArticleId IdType="pubmed">16890218</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>Antioxid Redox Signal. 2009 Nov;11(11):2631-40</Citation>
<ArticleIdList>
<ArticleId IdType="pubmed">19453253</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>Environ Health Perspect. 2009 Nov;117(11):1767-72</Citation>
<ArticleIdList>
<ArticleId IdType="pubmed">20049130</ArticleId>
</ArticleIdList>
</Reference>
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