Literature DB >> 8661350

Methyl mercury pharmacokinetics in man: a reevaluation.

J C Smith1, F F Farris.   

Abstract

Data taken from Aberg et al. ((1969) Arch. Environ. Health 19, 478-484) and Miettinen et al. ((1971) Ann. Clin. Res. 3, 116-122) were analyzed by means of models that describe methyl mercury pharmacokinetics in man in terms of parent compound only (Model I) or in terms of parent compound plus metabolite, inorganic mercury (Model II). Fecal and urinary excretion of mercury are linear for both models. In Model I all excreted mercury arises from a common pool. This model successfully simulates the time profiles for body total mercury and fecal excretion but fails to explain the continuous increase in daily urinary mercury that occurs for several weeks following methyl mercury administration. In Model II fecal mercury arises from the methyl mercury compartment and urinary mercury from the inorganic mercury compartment. Simulations from this model are comparable to those from Model I for body total mercury and fecal excretion but are significantly more precise for urinary excretion. Model II also accounts for the observation (Miettinen et al., 1971) that blood mercury comprises a steadily declining proportion of body mercury burden for at least 91 days after methyl mercury dosing. Data simulated by means of Model II, using parameters estimated from Aberg's and Miettinen's data sets, predict methyl mercury half-lives of 51 and 56 days, respectively. These values are comparable to the methyl mercury half-life of 44 days reported by Smith et al. ((1994) Toxicol. Appl. Pharmacol. 128, 251-256) and are approximately 70% of half-lives reported by Aberg and Miettinen.

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Year:  1996        PMID: 8661350     DOI: 10.1006/taap.1996.0078

Source DB:  PubMed          Journal:  Toxicol Appl Pharmacol        ISSN: 0041-008X            Impact factor:   4.219


  12 in total

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2.  Total imprecision of exposure biomarkers: implications for calculating exposure limits.

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3.  An ignored risk factor in toxicology: The total imprecision of exposure assessment.

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Authors:  Marianthi-Anna Kioumourtzoglou; Andrea L Roberts; Flemming Nielsen; Shelley S Tworoger; Philippe Grandjean; Marc G Weisskopf
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5.  Predictors of mitochondrial DNA copy number and damage in a mercury-exposed rural Peruvian population near artisanal and small-scale gold mining: An exploratory study.

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6.  Interaction between GSTM1/GSTT1 polymorphism and blood mercury on birth weight.

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Review 7.  Methylmercury exposure and health effects from rice and fish consumption: a review.

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8.  Umbilical cord mercury concentration as biomarker of prenatal exposure to methylmercury.

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9.  A revised probabilistic estimate of the maternal methyl mercury intake dose corresponding to a measured cord blood mercury concentration.

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Journal:  Environ Health Perspect       Date:  2005-02       Impact factor: 9.031

10.  Methylmercury neurotoxicity in Amazonian children downstream from gold mining.

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Journal:  Environ Health Perspect       Date:  1999-07       Impact factor: 9.031

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