Literature DB >> 23069934

Dietary mercury exposure in a population with a wide range of fish consumption--self-capture of fish and regional differences are important determinants of mercury in blood.

M T S Jenssen1, A L Brantsæter, M Haugen, H M Meltzer, T Larssen, H E Kvalem, B E Birgisdottir, Y Thomassen, D Ellingsen, J Alexander, H K Knutsen.   

Abstract

Human, low level, chronic exposure to mercury (Hg) from fish is of concern because of potential neurodevelopmental and cardiovascular toxicity. The purpose of the study was to 1) measure total mercury (THg) in blood and estimate dietary exposure in a population group with a wide range of seafood consumption, 2) assess the intake and blood concentration in relation to tolerable intake values, 3) characterise dietary sources, and 4) to investigate the relationship between dietary THg with THg in blood (BTHg), including factors that can explain the variance in BTHg concentrations. The participants (n=184) filled in an extensive food frequency questionnaire which was combined with a database on THg concentrations in Norwegian food, and donated blood and urine. Median consumption of seafood was 65 g/day (range 4 to 341 g/day). The calculated mean dietary THg exposure was 0.35 (median 0.30) μg/kg body weight/week. Seafood contributed on average 95% to the exposure. The JECFA Provisional Tolerable Weekly Intake (PTWI) of 1.6 μg MeHg/kg bw/week was not exceeded by any of the participants. BTHg ranged from 0.6 to 30 μg/L, with a mean of 5.3 (median 4.0 μg/L). There was a strong relationship between total seafood consumption and BTHg concentrations (r=0.58 95%CI: 0.48, 0.67) and between estimated THg dietary exposure and BTHg (r=0.46 95%CI: 0.35, 0.57). Fish consumption, sex, catching >50% of their seafood themselves, and living in coastal municipalities were significant factors in linear regression models with lnBTHg. Including urinary Hg in the regression model increased the explained variance from 54% to 65%. In a toxicokinetic model, the calculated dietary intake appeared to moderately underestimate the measured BTHg among the participants with the highest BTHg. Only two of the participants had BTHg slightly above a value equivalent to the JECFA PTWI, but none of them were women in fertile age.
Copyright © 2012 Elsevier B.V. All rights reserved.

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Year:  2012        PMID: 23069934     DOI: 10.1016/j.scitotenv.2012.09.024

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  10 in total

1.  Effect of dietary patterns on the blood/urine concentration of the selected toxic metals (Cd, Hg, Pb) in Korean children.

Authors:  Byoung-Wook Yoo; Bom Kim; Pankaj Joshi; Sung-Ok Kwon; YeonJin Kim; Jung-Sook Oh; Jeongseon Kim; Se-Young Oh; Ji-Ae Lim; Byung-Sun Choi; Yu-Mi Kim; Sang-Yong Eom; Young-Seob Hong; Seok-Joon Sohn; Kyung-Su Park; Heesoo Pyo; Ho Kim; Mina Ha; Jung-Duck Park; Ho-Jang Kwon; Sang-Ah Lee
Journal:  Food Sci Biotechnol       Date:  2018-02-24       Impact factor: 2.391

Review 2.  Global methylmercury exposure from seafood consumption and risk of developmental neurotoxicity: a systematic review.

Authors:  Mary C Sheehan; Thomas A Burke; Ana Navas-Acien; Patrick N Breysse; John McGready; Mary A Fox
Journal:  Bull World Health Organ       Date:  2014-01-10       Impact factor: 9.408

Review 3.  Climate change impacts on environmental and human exposure to mercury in the arctic.

Authors:  Kyrre Sundseth; Jozef M Pacyna; Anna Banel; Elisabeth G Pacyna; Arja Rautio
Journal:  Int J Environ Res Public Health       Date:  2015-03-31       Impact factor: 3.390

4.  Effects on and transfer across the blood-brain barrier in vitro-Comparison of organic and inorganic mercury species.

Authors:  Hanna Lohren; Julia Bornhorst; Romy Fitkau; Gabriele Pohl; Hans-Joachim Galla; Tanja Schwerdtle
Journal:  BMC Pharmacol Toxicol       Date:  2016-12-15       Impact factor: 2.483

5.  Predictors of mercury, lead, cadmium and antimony status in Norwegian never-pregnant women of fertile age.

Authors:  Christina Herland Fløtre; Kristin Varsi; Thea Helm; Bjørn Bolann; Anne-Lise Bjørke-Monsen
Journal:  PLoS One       Date:  2017-12-05       Impact factor: 3.240

6.  Regional and temporal trends in blood mercury concentrations and fish consumption in women of child bearing Age in the united states using NHANES data from 1999-2010.

Authors:  Leanne K Cusack; Ellen Smit; Molly L Kile; Anna K Harding
Journal:  Environ Health       Date:  2017-02-17       Impact factor: 5.984

7.  Intakes of Fish and Long-chain n-3 Polyunsaturated Fatty Acid Supplements During Pregnancy and Subsequent Risk of Type 2 Diabetes in a Large Prospective Cohort Study of Norwegian Women.

Authors:  Jannike Øyen; Anne Lise Brantsæter; Ole Jakob Nøstbakken; Kåre I Birkeland; Margareta Haugen; Lise Madsen; Grace M Egeland
Journal:  Diabetes Care       Date:  2021-08-18       Impact factor: 19.112

8.  Risks from mercury in anadromous fish collected from Penobscot River, Maine.

Authors:  Lisa Jo Melnyk; John Lin; Daniel H Kusnierz; Katherine Pugh; James T Durant; Rene J Suarez-Soto; Raghuraman Venkatapathy; Devi Sundaravadivelu; Anthony Morris; James M Lazorchak; Gary Perlman; Michael A Stover
Journal:  Sci Total Environ       Date:  2021-03-29       Impact factor: 10.753

9.  RNA sequencing and proteomic profiling reveal different alterations by dietary methylmercury in the hippocampal transcriptome and proteome in BALB/c mice.

Authors:  Ragnhild Marie Mellingen; Lene Secher Myrmel; Kai Kristoffer Lie; Josef Daniel Rasinger; Lise Madsen; Ole Jakob Nøstbakken
Journal:  Metallomics       Date:  2021-05-24       Impact factor: 4.526

10.  Targeted risk assessment of mercury exposure of recreational fishers: Are nephrops fishers in Norway at risk?

Authors:  Martin Wiech; Christine Djønne; Jeppe Kolding; Marian Kjellevold; Keno Ferter
Journal:  Environ Sci Pollut Res Int       Date:  2021-05-06       Impact factor: 4.223

  10 in total

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