An Investigation of Modifying Effects of Metallothionein Single-Nucleotide Polymorphisms on the Association between Mercury Exposure and Biomarker Levels
Background: Recent studies have suggested that several genes that mediate mercury metabolism are polymorphic in humans. Objective: We hypothesized that single-nucleotide polymorphisms (SNPs) in metallothionein (MT) genes may underlie interindividual differences in mercury biomarker levels. We studie...
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Published in | Environmental health perspectives Vol. 120; no. 4; pp. 530 - 534 |
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Main Authors | , , , , , |
Format | Journal Article |
Language | English |
Published |
Research Triangle Park, NC
National Institute of Environmental Health Sciences
01.04.2012
US Department of Health and Human Services |
Subjects | |
Online Access | Get full text |
ISSN | 0091-6765 1552-9924 1552-9924 |
DOI | 10.1289/ehp.1104079 |
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Abstract | Background: Recent studies have suggested that several genes that mediate mercury metabolism are polymorphic in humans. Objective: We hypothesized that single-nucleotide polymorphisms (SNPs) in metallothionein (MT) genes may underlie interindividual differences in mercury biomarker levels. We studied the potential modifying effects of MT SNPs on mercury exposure-biomarker relationships. Methods: We measured total mercury in urine and hair samples of 515 dental professionals. We also surveyed occupational and personal exposures to dental amalgam and dietary fish consumption, from which daily methyimercury (MeHg) intake was estimated. Log-transformed urine and hair levels were modeled in multivariable linear regression separately against respective exposure surrogates, and the effect modification of 13 MT SNPs on exposure was investigated. Results: The mean mercury levels in urine (1.06 μg/L) and hair (0.51 μg/g) were not significantly different from the U.S. general population (0.95 μg/L and 0.47 μg/g, respectively). The mean estimated daily MeHg intake was 0.084 μg/kg/day (range, 0-0.98 μg/kg/day), with 25% of study population intakes exceeding the current U.S. Environmental Protection Agency reference dose of 0.1 μg/kg/day. Multivariate regression analysis showed that subjects with the MT1M (rs2270836) AA genotype (n = 10) or the MT2A (rs 10636) CC genotype (n = 42) had lower urinary mercury levels than did those with the MT1Mot MT2A GG genotype (n = 329 and 251, respectively) after controlling for exposure and potential confounders. After controlling for MeHg intake, subjects with MT1A (rs8052394) GA and GG genotypes (n = 24) or the MT1M (rs9936741) TT genotype (n = 459) had lower hair mercury levels than did subjects with MT1A AA (n = 113) or MT1MTC and CC genotypes (n = 15), respectively. Conclusion: Our findings suggest that some MT genetic polymorphisms may influence mercury biomarker concentrations at levels of exposure relevant to the general population. |
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AbstractList | Background: Recent studies have suggested that several genes that mediate mercury metabolism are polymorphic in humans.
Objective: We hypothesized that single-nucleotide polymorphisms (SNPs) in metallothionein (MT) genes may underlie interindividual differences in mercury biomarker levels. We studied the potential modifying effects of MT SNPs on mercury exposure–biomarker relationships.
Methods: We measured total mercury in urine and hair samples of 515 dental professionals. We also surveyed occupational and personal exposures to dental amalgam and dietary fish consumption, from which daily methylmercury (MeHg) intake was estimated. Log-transformed urine and hair levels were modeled in multivariable linear regression separately against respective exposure surrogates, and the effect modification of 13 MT SNPs on exposure was investigated.
Results: The mean mercury levels in urine (1.06 μg/L) and hair (0.51 μg/g) were not significantly different from the U.S. general population (0.95 μg/L and 0.47 μg/g, respectively). The mean estimated daily MeHg intake was 0.084 μg/kg/day (range, 0–0.98 μg/kg/day), with 25% of study population intakes exceeding the current U.S. Environmental Protection Agency reference dose of 0.1 μg/kg/day. Multivariate regression analysis showed that subjects with the
MT1M
(rs2270837) AA genotype (
n
= 10) or the
MT2A
(rs10636) CC genotype (
n
= 42) had lower urinary mercury levels than did those with the
MT1M
or
MT2A
GG genotype (
n
= 329 and 251, respectively) after controlling for exposure and potential confounders. After controlling for MeHg intake, subjects with
MT1A
(rs8052394) GA and GG genotypes (
n
= 24) or the
MT1M
(rs9936741) TT genotype (
n
= 459) had lower hair mercury levels than did subjects with
MT1A
AA (
n
= 113) or
MT1M
TC and CC genotypes (
n
= 15), respectively.
Conclusion: Our findings suggest that some MT genetic polymorphisms may influence mercury biomarker concentrations at levels of exposure relevant to the general population. Background: Recent studies have suggested that several genes that mediate mercury metabolism are polymorphic in humans. Objective: We hypothesized that single-nucleotide polymorphisms (SNPs) in metallothionein (MT) genes may underlie interindividual differences in mercury biomarker levels. We studied the potential modifying effects of MT SNPs on mercury exposure-biomarker relationships. Methods: We measured total mercury in urine and hair samples of 515 dental professionals. We also surveyed occupational and personal exposures to dental amalgam and dietary fish consumption, from which daily methylmercury (MeHg) intake was estimated. Log-transformed urine and hair levels were modeled in multivariable linear regression separately against respective exposure surrogates, and the effect modification of 13 MT SNPs on exposure was investigated. Results: The mean mercury levels in urine (1.06 mu g/L) and hair (0.51 mu g/g) were not significantly different from the U.S. general population (0.95 mu g/L and 0.47 mu g/g, respectively). The mean estimated daily MeHg intake was 0.084 mu g/kg/day (range, 0-0.98 mu g/kg/day), with 25% of study population intakes exceeding the current U.S. Environmental Protection Agency reference dose of 0.1 mu g/kg/day. Multivariate regression analysis showed that subjects with the MT1M (rs2270836) AA genotype (n = 10) or the MT2A (rs10636) CC genotype (n = 42) had lower urinary mercury levels than did those with the MT1M or MT2A GG genotype (n = 329 and 251, respectively) after controlling for exposure and potential confounders. After controlling for MeHg intake, subjects with MT1A (rs8052394) GA and GG genotypes (n = 24) or the MT1M (rs9936741) TT genotype (n = 459) had lower hair mercury levels than did subjects with MT1A AA (n = 113) or MT1M TC and CC genotypes (n = 15), respectively. Conclusion: Our findings suggest that some MT genetic polymorphisms may influence mercury biomarker concentrations at levels of exposure relevant to the general population. Background: Recent studies have suggested that several genes that mediate mercury metabolism are polymorphic in humans. Objective: We hypothesized that single-nucleotide polymorphisms (SNPs) in metallothionein (MT) genes may underlie interindividual differences in mercury biomarker levels. We studied the potential modifying effects of MT SNPs on mercury exposure-biomarker relationships. Methods: We measured total mercury in urine and hair samples of 515 dental professionals. We also surveyed occupational and personal exposures to dental amalgam and dietary fish consumption, from which daily methyimercury (MeHg) intake was estimated. Log-transformed urine and hair levels were modeled in multivariable linear regression separately against respective exposure surrogates, and the effect modification of 13 MT SNPs on exposure was investigated. Results: The mean mercury levels in urine (1.06 μg/L) and hair (0.51 μg/g) were not significantly different from the U.S. general population (0.95 μg/L and 0.47 μg/g, respectively). The mean estimated daily MeHg intake was 0.084 μg/kg/day (range, 0-0.98 μg/kg/day), with 25% of study population intakes exceeding the current U.S. Environmental Protection Agency reference dose of 0.1 μg/kg/day. Multivariate regression analysis showed that subjects with the MT1M (rs2270836) AA genotype (n = 10) or the MT2A (rs 10636) CC genotype (n = 42) had lower urinary mercury levels than did those with the MT1Mot MT2A GG genotype (n = 329 and 251, respectively) after controlling for exposure and potential confounders. After controlling for MeHg intake, subjects with MT1A (rs8052394) GA and GG genotypes (n = 24) or the MT1M (rs9936741) TT genotype (n = 459) had lower hair mercury levels than did subjects with MT1A AA (n = 113) or MT1MTC and CC genotypes (n = 15), respectively. Conclusion: Our findings suggest that some MT genetic polymorphisms may influence mercury biomarker concentrations at levels of exposure relevant to the general population. Recent studies have suggested that several genes that mediate mercury metabolism are polymorphic in humans. We hypothesized that single-nucleotide polymorphisms (SNPs) in metallothionein (MT) genes may underlie interindividual differences in mercury biomarker levels. We studied the potential modifying effects of MT SNPs on mercury exposure-biomarker relationships. We measured total mercury in urine and hair samples of 515 dental professionals. We also surveyed occupational and personal exposures to dental amalgam and dietary fish consumption, from which daily methylmercury (MeHg) intake was estimated. Log-transformed urine and hair levels were modeled in multivariable linear regression separately against respective exposure surrogates, and the effect modification of 13 MT SNPs on exposure was investigated. The mean mercury levels in urine (1.06 μg/L) and hair (0.51 μg/g) were not significantly different from the U.S. general population (0.95 μg/L and 0.47 μg/g, respectively). The mean estimated daily MeHg intake was 0.084 μg/kg/day (range, 0-0.98 μg/kg/day), with 25% of study population intakes exceeding the current U.S. Environmental Protection Agency reference dose of 0.1 μg/kg/day. Multivariate regression analysis showed that subjects with the MT1M (rs2270837) [corrected] AA genotype (n = 10) or the MT2A (rs10636) CC genotype (n = 42) had lower urinary mercury levels than did those with the MT1M or MT2A GG genotype (n = 329 and 251, respectively) after controlling for exposure and potential confounders. After controlling for MeHg intake, subjects with MT1A (rs8052394) GA and GG genotypes (n = 24) or the MT1M (rs9936741) TT genotype (n = 459) had lower hair mercury levels than did subjects with MT1A AA (n = 113) or MT1M TC and CC genotypes (n = 15), respectively. Our findings suggest that some MT genetic polymorphisms may influence mercury biomarker concentrations at levels of exposure relevant to the general population. Recent studies have suggested that several genes that mediate mercury metabolism are polymorphic in humans. We hypothesized that single-nucleotide polymorphisms (SNPs) in metallothionein (MT) genes may underlie interindividual differences in mercury biomarker levels. We studied the potential modifying effects of MT SNPs on mercury exposure-biomarker relationships. We measured total mercury in urine and hair samples of 515 dental professionals. We also surveyed occupational and personal exposures to dental amalgam and dietary fish consumption, from which daily methylmercury (MeHg) intake was estimated. Log-transformed urine and hair levels were modeled in multivariable linear regression separately against respective exposure surrogates, and the effect modification of 13 MT SNPs on exposure was investigated. The mean mercury levels in urine (1.06 μg/L) and hair (0.51 μg/g) were not significantly different from the U.S. general population (0.95 μg/L and 0.47 μg/g, respectively). The mean estimated daily MeHg intake was 0.084 μg/kg/day (range, 0-0.98 μg/kg/day), with 25% of study population intakes exceeding the current U.S. Environmental Protection Agency reference dose of 0.1 μg/kg/day. Multivariate regression analysis showed that subjects with the MT1M (rs2270837) [corrected] AA genotype (n = 10) or the MT2A (rs10636) CC genotype (n = 42) had lower urinary mercury levels than did those with the MT1M or MT2A GG genotype (n = 329 and 251, respectively) after controlling for exposure and potential confounders. After controlling for MeHg intake, subjects with MT1A (rs8052394) GA and GG genotypes (n = 24) or the MT1M (rs9936741) TT genotype (n = 459) had lower hair mercury levels than did subjects with MT1A AA (n = 113) or MT1M TC and CC genotypes (n = 15), respectively. Our findings suggest that some MT genetic polymorphisms may influence mercury biomarker concentrations at levels of exposure relevant to the general population. Recent studies have suggested that several genes that mediate mercury metabolism are polymorphic in humans.BACKGROUNDRecent studies have suggested that several genes that mediate mercury metabolism are polymorphic in humans.We hypothesized that single-nucleotide polymorphisms (SNPs) in metallothionein (MT) genes may underlie interindividual differences in mercury biomarker levels. We studied the potential modifying effects of MT SNPs on mercury exposure-biomarker relationships.OBJECTIVEWe hypothesized that single-nucleotide polymorphisms (SNPs) in metallothionein (MT) genes may underlie interindividual differences in mercury biomarker levels. We studied the potential modifying effects of MT SNPs on mercury exposure-biomarker relationships.We measured total mercury in urine and hair samples of 515 dental professionals. We also surveyed occupational and personal exposures to dental amalgam and dietary fish consumption, from which daily methylmercury (MeHg) intake was estimated. Log-transformed urine and hair levels were modeled in multivariable linear regression separately against respective exposure surrogates, and the effect modification of 13 MT SNPs on exposure was investigated.METHODSWe measured total mercury in urine and hair samples of 515 dental professionals. We also surveyed occupational and personal exposures to dental amalgam and dietary fish consumption, from which daily methylmercury (MeHg) intake was estimated. Log-transformed urine and hair levels were modeled in multivariable linear regression separately against respective exposure surrogates, and the effect modification of 13 MT SNPs on exposure was investigated.The mean mercury levels in urine (1.06 μg/L) and hair (0.51 μg/g) were not significantly different from the U.S. general population (0.95 μg/L and 0.47 μg/g, respectively). The mean estimated daily MeHg intake was 0.084 μg/kg/day (range, 0-0.98 μg/kg/day), with 25% of study population intakes exceeding the current U.S. Environmental Protection Agency reference dose of 0.1 μg/kg/day. Multivariate regression analysis showed that subjects with the MT1M (rs2270837) [corrected] AA genotype (n = 10) or the MT2A (rs10636) CC genotype (n = 42) had lower urinary mercury levels than did those with the MT1M or MT2A GG genotype (n = 329 and 251, respectively) after controlling for exposure and potential confounders. After controlling for MeHg intake, subjects with MT1A (rs8052394) GA and GG genotypes (n = 24) or the MT1M (rs9936741) TT genotype (n = 459) had lower hair mercury levels than did subjects with MT1A AA (n = 113) or MT1M TC and CC genotypes (n = 15), respectively.RESULTSThe mean mercury levels in urine (1.06 μg/L) and hair (0.51 μg/g) were not significantly different from the U.S. general population (0.95 μg/L and 0.47 μg/g, respectively). The mean estimated daily MeHg intake was 0.084 μg/kg/day (range, 0-0.98 μg/kg/day), with 25% of study population intakes exceeding the current U.S. Environmental Protection Agency reference dose of 0.1 μg/kg/day. Multivariate regression analysis showed that subjects with the MT1M (rs2270837) [corrected] AA genotype (n = 10) or the MT2A (rs10636) CC genotype (n = 42) had lower urinary mercury levels than did those with the MT1M or MT2A GG genotype (n = 329 and 251, respectively) after controlling for exposure and potential confounders. After controlling for MeHg intake, subjects with MT1A (rs8052394) GA and GG genotypes (n = 24) or the MT1M (rs9936741) TT genotype (n = 459) had lower hair mercury levels than did subjects with MT1A AA (n = 113) or MT1M TC and CC genotypes (n = 15), respectively.Our findings suggest that some MT genetic polymorphisms may influence mercury biomarker concentrations at levels of exposure relevant to the general population.CONCLUSIONOur findings suggest that some MT genetic polymorphisms may influence mercury biomarker concentrations at levels of exposure relevant to the general population. |
Audience | Academic |
Author | Wang, Yi Goodrich, Jaclyn M. Gillespie, Brenda Basu, Niladri Werner, Robert Franzblau, Alfred |
Author_xml | – sequence: 1 givenname: Yi surname: Wang fullname: Wang, Yi – sequence: 2 givenname: Jaclyn M. surname: Goodrich fullname: Goodrich, Jaclyn M. – sequence: 3 givenname: Brenda surname: Gillespie fullname: Gillespie, Brenda – sequence: 4 givenname: Robert surname: Werner fullname: Werner, Robert – sequence: 5 givenname: Niladri surname: Basu fullname: Basu, Niladri – sequence: 6 givenname: Alfred surname: Franzblau fullname: Franzblau, Alfred |
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Copyright | 2015 INIST-CNRS COPYRIGHT 2012 National Institute of Environmental Health Sciences Copyright National Institute of Environmental Health Sciences Apr 2012 2012 |
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Keywords | gene-environment interaction Biological marker Exposure biomarker Heavy metal Association Health and environment Genotype environment interaction Nucleotide single-nucleotide polymorphism Mercury Metallothionein Polymorphism |
Language | English |
License | CC BY 4.0 Publication of EHP lies in the public domain and is therefore without copyright. All text from EHP may be reprinted freely. Use of materials published in EHP should be acknowledged (for example, ?Reproduced with permission from Environmental Health Perspectives?); pertinent reference information should be provided for the article from which the material was reproduced. Articles from EHP, especially the News section, may contain photographs or illustrations copyrighted by other commercial organizations or individuals that may not be used without obtaining prior approval from the holder of the copyright. |
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Snippet | Background: Recent studies have suggested that several genes that mediate mercury metabolism are polymorphic in humans. Objective: We hypothesized that... Recent studies have suggested that several genes that mediate mercury metabolism are polymorphic in humans. We hypothesized that single-nucleotide... Recent studies have suggested that several genes that mediate mercury metabolism are polymorphic in humans. We hypothesized that single-nucleotide... Recent studies have suggested that several genes that mediate mercury metabolism are polymorphic in humans.BACKGROUNDRecent studies have suggested that several... Background: Recent studies have suggested that several genes that mediate mercury metabolism are polymorphic in humans. Objective: We hypothesized that... |
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SubjectTerms | Adult Aged Animals Bioaccumulation Biological and medical sciences Biological markers Biomarkers - metabolism Chemical and industrial products toxicology. Toxic occupational diseases Dental Amalgam - toxicity Dental Staff Dentists Elemental mercury Environment. Living conditions Environmental Exposure Environmental health Environmental protection Exposure Female Fish Fishes Genes Genetic algorithms Genetic aspects Genotypes Hair Hair - chemistry Hair - drug effects Health aspects Heterozygotes Homozygotes Humans Intakes Linear Models Male Medical sciences Mercury Mercury - toxicity Mercury - urine Metallothionein Metallothionein - genetics Metallothionein - metabolism Metals and various inorganic compounds Methylmercury Methylmercury Compounds - analysis Methylmercury Compounds - toxicity Michigan - epidemiology Middle Aged Multivariate Analysis Occupational Exposure Physiological aspects Polymorphism Polymorphism, Single Nucleotide Public health. Hygiene Public health. Hygiene-occupational medicine Regression Regression analysis Single nucleotide polymorphisms Species Specificity Surveys and Questionnaires Toxicology Urine |
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Title | An Investigation of Modifying Effects of Metallothionein Single-Nucleotide Polymorphisms on the Association between Mercury Exposure and Biomarker Levels |
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