High Throughput Heuristics for Prioritizing Human Exposure to Environmental Chemicals
High Throughput Heuristics for Prioritizing Human Exposure to Environmental Chemicals
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DOI：
10.1021/es503583j
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发表时间：
2014-11-04
影响因子：
11.4
通讯作者：
Setzer, R. Woodrow
中科院分区：
文献类型：
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作者：
Wambaugh, John F.;Wang, Anran;Setzer, R. Woodrow
在我们的环境中，有成千上万种未经测试的人为化学品，其中任何一种化学品对人类健康构成的风险是化学品所呈现的危害和接触程度的函数。然而，许多化学品缺乏接触摄入量的估计，限制了对健康风险的了解。我们的目标是开发一种快速的启发式方法，以确定潜在的人类暴露于化学品，应用于数千种化学品很少或没有暴露数据。我们使用贝叶斯方法推断暴露范围与国家健康与营养检查调查（NHANES）在美国人群尿液样本中鉴定的生物标志物一致。我们使用化学描述符和来自多个数据库和基于结构的计算器的信息，对按年龄、性别和体重划分的NHANES人口统计子集的推断暴露进行了线性回归。五个描述符能够解释106种NHANES化学品在所有人口群体（包括6-11岁的儿童）的几何平均变异的大约50%。我们使用这些描述符来估计人类对7968种化学物质的暴露，其中大多数没有其他定量暴露预测。对于数千种没有其他信息的化学品，这种方法可以预测环境化学品的平均暴露摄入量。
The risk posed to human health by any of the thousands of untested anthropogenic chemicals in our environment is a function of both the hazard presented by the chemical and the extent of exposure. However, many chemicals lack estimates of exposure intake, limiting the understanding of health risks. We aim to develop a rapid heuristic method to determine potential human exposure to chemicals for application to the thousands of chemicals with little or not exposure data. We used Bayesian methodology to infer ranges of exposure consistent with biomarkers identified in urine samples from the U.S. population by the National Health and Nutrition Examination Survey (NHANES). We performed linear regression on inferred exposure for demographic subsets of NHANES demarked by age, gender, and weight using chemical descriptors and use information from multiple databases and structure-based calculators. Five descriptors are capable of explaining roughly 50% of the variability in geometric means across 106 NHANES chemicals for all the demographic groups, including children aged 6-11. We use these descriptors to estimate human exposure to 7968 chemicals, the majority of which have no other quantitative exposure prediction. For thousands of chemicals with no other information, this approach allows forecasting of average exposure intake of environmental chemicals.