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DOI 10.1038/sj.jea.7500433

Медицинская библиотека · Journal of exposure science & environmental epidemiology · 2006

Reconstruction of methylmercury intakes in indigenous populations from biomarker data.

Gosselin Nathalie H, Brunet Robert C, Carrier Gaétan, Bouchard Michèle, Feeley Mark

СтатьяПоддержка исследования: вне правительства СШАПеревод в очереди

Аннотация

Significant amounts of methylmercury (MeHg) can bioaccumulate in fish and sea mammals. To monitor MeHg exposure in individuals, organic and inorganic mercury are often measured in blood samples or in hair strands, the latter being by far the best integrator of past exposure. With knowledge of the MeHg kinetics in humans, the levels of both biomarkers can be related to MeHg body burden and intakes. In the present study, we use the toxicokinetic model of Carrier et al. (2001) describing the distribution and excretion of MeHg in humans, to reconstruct the history of MeHg intakes of indigenous women of the Inuvik region in Canada starting from total mercury concentrations in hair segments. From these reconstructed MeHg intakes, the corresponding simulated mercury blood concentrations are found to be good predictors of the concentrations actually measured in blood samples. An important conclusion of this study is that, for almost all subjects, the reconstructed history of their MeHg intakes provides much lower intake values than intakes estimated from questionnaires on food consumption and estimated MeHg levels in these foods; the mean value of the reconstructed MeHg intakes is 0.03 microg/kg/day compared with the mean value of 0.20 microg/kg/day obtained from questionnaires. The model was also used to back-calculate the MeHg intakes from concentrations in hair strands collected from aboriginals of the Amazon region in Brazil, a population significantly more exposed than the population of the Inuvik region.

Для цитирования: Gosselin Nathalie H, Brunet Robert C, Carrier Gaétan, Bouchard Michèle, Feeley Mark. Reconstruction of methylmercury intakes in indigenous populations from biomarker data.. Journal of exposure science & environmental epidemiology. 2006. DOI: 10.1038/sj.jea.7500433.

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