Estimation of the Biological Half-Life of Methylmercury Using a Population Toxicokinetic Model

Authors
Jo, SeongilWoo, Hae DongKwon, Ho-JangOh, Se-YoungPark, Jung-DuckHong, Young-SeoubPyo, HeesooPark, Kyung SuHa, MinaKim, HoSohn, Seok-JoonKim, Yu-MiLim, Ji-AeLee, Sang-AhEom, Sang-YongKim, Byoung-GwonLee, Kyoung-MuLee, Jong-HyeonHwang, Myung SilKim, Jeongseon
Issue Date
2015-08
Publisher
MDPI AG
Citation
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, v.12, no.8, pp.9054 - 9067
Abstract
Methylmercury is well known for causing adverse health effects in the brain and nervous system. Estimating the elimination constant derived from the biological half-life of methylmercury in the blood or hair is an important part of calculating guidelines for methylmercury intake. Thus, this study was conducted to estimate the biological half-life of methylmercury in Korean adults. We used a one-compartment model with a direct relationship between methylmercury concentrations in the blood and daily dietary intake of methylmercury. We quantified the between-person variability of the methylmercury half-life in the population, and informative priors were used to estimate the parameters in the model. The population half-life of methylmercury was estimated to be 80.2 +/- 8.6 days. The population mean of the methylmercury half-life was 81.6 +/- 8.4 days for men and 78.9 +/- 8.6 days for women. The standard deviation of the half-life was estimated at 25.0 +/- 8.6 days. Using the direct relationship between methylmercury concentrations in blood and methylmercury intake, the biological half-life in this study was estimated to be longer than indicated by the earlier studies that have been used to set guideline values.
Keywords
POLYUNSATURATED FATTY-ACIDS; METHYL MERCURY; FISH CONSUMPTION; BLOOD; EXPOSURE; HUMANS; HAIR; VARIABILITY; INGESTION; POLYUNSATURATED FATTY-ACIDS; METHYL MERCURY; FISH CONSUMPTION; BLOOD; EXPOSURE; HUMANS; HAIR; VARIABILITY; INGESTION; biological half-life; dietary exposure; methylmercury; one-compartment toxicokinetic model; population model
ISSN
1661-7827
URI
https://pubs.kist.re.kr/handle/201004/125194
DOI
10.3390/ijerph120809054
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KIST Article > 2015
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