Literature DB >> 16806480

Benchmark concentrations for methyl mercury obtained from the 9-year follow-up of the Seychelles Child Development Study.

Edwin van Wijngaarden1, Christopher Beck, Conrad F Shamlaye, Elsa Cernichiari, Philip W Davidson, Gary J Myers, Thomas W Clarkson.   

Abstract

Methyl mercury (MeHg) is highly toxic to the developing nervous system. Human exposure is mainly from fish consumption since small amounts are present in all fish. Findings of developmental neurotoxicity following high-level prenatal exposure to MeHg raised the question of whether children whose mothers consumed fish contaminated with background levels during pregnancy are at an increased risk of impaired neurological function. Benchmark doses determined from studies in New Zealand, and the Faroese and Seychelles Islands indicate that a level of 4-25 parts per million (ppm) measured in maternal hair may carry a risk to the infant. However, there are numerous sources of uncertainty that could affect the derivation of benchmark doses, and it is crucial to continue to investigate the most appropriate derivation of safe consumption levels. Earlier, we published the findings from benchmark analyses applied to the data collected on the Seychelles main cohort at the 66-month follow-up period. Here, we expand on the main cohort analyses by determining the benchmark doses (BMD) of MeHg level in maternal hair based on 643 Seychellois children for whom 26 different neurobehavioral endpoints were measured at 9 years of age. Dose-response models applied to these continuous endpoints incorporated a variety of covariates and included the k-power model, the Weibull model, and the logistic model. The average 95% lower confidence limit of the BMD (BMDL) across all 26 endpoints varied from 20.1 ppm (range=17.2-22.5) for the logistic model to 20.4 ppm (range=17.9-23.0) for the k-power model. These estimates are somewhat lower than those obtained after 66 months of follow-up. The Seychelles Child Development Study continues to provide a firm scientific basis for the derivation of safe levels of MeHg consumption.

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Year:  2006        PMID: 16806480     DOI: 10.1016/j.neuro.2006.05.016

Source DB:  PubMed          Journal:  Neurotoxicology        ISSN: 0161-813X            Impact factor:   4.294


  17 in total

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Journal:  Nutr Rev       Date:  2011-09       Impact factor: 7.110

4.  Hair Mercury Level is Associated with Anemia and Micronutrient Status in Children Living Near Artisanal and Small-Scale Gold Mining in the Peruvian Amazon.

Authors:  Caren Weinhouse; Ernesto J Ortiz; Axel J Berky; Paige Bullins; John Hare-Grogg; Laura Rogers; Ana-Maria Morales; Heileen Hsu-Kim; William K Pan
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6.  Bi-linear dose--response relationship in general populations with low-level cadmium exposures in non-polluted areas in Japan.

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Journal:  Int Arch Occup Environ Health       Date:  2011-08-06       Impact factor: 3.015

7.  Does background postnatal methyl mercury exposure in toddlers affect cognition and behavior?

Authors:  Yang Cao; Aimin Chen; Robert L Jones; Jerilynn Radcliffe; Kathleen L Caldwell; Kim N Dietrich; Walter J Rogan
Journal:  Neurotoxicology       Date:  2009-12-05       Impact factor: 4.294

8.  Integrating mercury science and policy in the marine context: challenges and opportunities.

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9.  Prenatal methyl mercury exposure in relation to neurodevelopment and behavior at 19 years of age in the Seychelles Child Development Study.

Authors:  E van Wijngaarden; S W Thurston; G J Myers; J J Strain; B Weiss; T Zarcone; G E Watson; G Zareba; E M McSorley; M S Mulhern; A J Yeates; J Henderson; J Gedeon; C F Shamlaye; P W Davidson
Journal:  Neurotoxicol Teratol       Date:  2013-06-14       Impact factor: 3.763

10.  Longitudinal mercury monitoring within the Japanese and Korean communities (United States): implications for exposure determination and public health protection.

Authors:  Ami Tsuchiya; Thomas A Hinners; Finn Krogstad; Jim W White; Thomas M Burbacher; Elaine M Faustman; Koenraad Mariën
Journal:  Environ Health Perspect       Date:  2009-07-31       Impact factor: 9.031

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