Apparent half-lives of dioxins, furans, and polychlorinated biphenyls as a function of age, body fat, smoking status, and breast-feeding.
Apparent half-lives of dioxins, furans, and polychlorinated biphenyls as a function of age, body fat, smoking status, and breast-feeding.
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DOI：
10.1289/ehp.11781
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发表时间：
2009-03
影响因子：
10.4
通讯作者：
Jolliet O
中科院分区：
文献类型：
--
作者：
Milbrath MO;Wenger Y;Chang CW;Emond C;Garabrant D;Gillespie BW;Jolliet O
在这项研究中，我们审查了文献中关于世界卫生组织毒性当量因子计划中命名的29种二恶英、呋喃和多氯联苯同系物的半衰期数据，目的是为每种同系物在人体内的半衰期提供参考值，并提供一种考虑个人特征的半衰期估计方法。我们比较了来自30多项含有同源物特异性消除率的研究的数据。提取半衰期数据并将其汇编成汇总表。然后，我们根据定义的排除标准创建了这些数据的子集。我们为每种同系物定义了近似于婴儿和成人半衰期的值。使用这些值的线性插值来检查半衰期与年龄、体脂百分比和绝对体脂之间的关系。我们根据这些关系和个体特征的调整开发了预测方程。二恶英在人体内的半衰期可以通过与年龄的线性关系来预测，该线性关系根据身体脂肪、吸烟和母乳喂养进行了调整。数据表明，一种替代方法的基础上，半衰期和总体脂肪之间的线性关系，但这种方法需要进一步的测试和验证与个人的测量。
In this study we reviewed the half-life data in the literature for the 29 dioxin, furan, and polychlorinated biphenyl congeners named in the World Health Organization toxic equivalency factor scheme, with the aim of providing a reference value for the half-life of each congener in the human body and a method of half-life estimation that accounts for an individual’s personal characteristics. We compared data from > 30 studies containing congener-specific elimination rates. Half-life data were extracted and compiled into a summary table. We then created a subset of these data based on defined exclusionary criteria. We defined values for each congener that approximate the half-life in an infant and in an adult. A linear interpolation of these values was used to examine the relationship between half-life and age, percent body fat, and absolute body fat. We developed predictive equations based on these relationships and adjustments for individual characteristics. The half-life of dioxins in the body can be predicted using a linear relationship with age adjusted for body fat, smoking, and breast-feeding. Data suggest an alternative method based on a linear relationship between half-life and total body fat, but this approach requires further testing and validation with individual measurements.
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影响因子：
10.4
作者：
Emond, Claude;Birnbaum, Linda S.;DeVito, Michael J.
通讯作者：
DeVito, Michael J.
影响因子：
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影响因子：
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作者：
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Nagata, T