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首页> 外文会议>Annual conference of the International Society of Exposure Science >Tracking Contributions to Human Body Burden of Environmental Chemicals by Correlating Environmental Measurements with Biomarkers
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Tracking Contributions to Human Body Burden of Environmental Chemicals by Correlating Environmental Measurements with Biomarkers

机译：通过将环境测量结果与生物标志物相关联，跟踪对环境化学物质对人体负担的贡献

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Background/Aims: The work addresses current knowledge gaps regarding causes for correlations between environmental and biomarker measurements and explores the underappreciated role of variability in disaggregating exposure attributes that contribute to biomarker levels. The objective of this study is to understand the contribution of home-based exposure to human body burden from a simulation study. Methods: Our simulation-based study considers variability in environmental and food measurements, the relative contribution of various exposure sources (indoors and food), and the biological half-life of a compound, on the resulting correlations between biomarker and environment. For two hypothetical compounds with respective half-lives are on the order of days for one and years for the other, we generate synthetic daily environmental concentrations and food exposures with different day-to-day and population variability as well as different amounts of home- and food-based exposure. Assuming that the total intake results only from home-based exposure and food ingestion, we estimate time-dependent biomarker concentrations using a one-compartment pharmacokinetic model. Results: The R2 between wipe and serum concentrations increases with the increasing contribution of home exposure. Although the R2 between wipe and serum measurements is within the same range for the two compounds, the relative contribution of the home exposure to the total exposure could differ by 20%, thus providing the relative indication of their contribution to body burden. Conclusion: The novel method introduced in this paper provides insights for evaluating scenarios or experiments where sample, exposure, and compound variability must be weighed in order to interpret associations between exposure data.
机译：背景/目标：这项工作解决了有关环境和生物标记物测量之间相关性成因的当前知识空白，并探讨了变异性在分解有助于生物标记物水平的暴露属性方面被低估的作用。这项研究的目的是通过模拟研究了解家庭暴露对人体负担的影响。方法：基于模拟的研究考虑了环境标志物和环境之间的相关性，其中包括环境和食物测量的可变性，各种暴露源（室内和食物）的相对贡献以及化合物的生物半衰期。对于两种假设化合物，其半衰期分别为一个天数的天数和另一个半衰期的天数，我们得出的合成每日环境浓度和食物暴露量具有不同的每日变化和人口变异性以及不同数量的家庭日照。和以食物为基础的接触。假设总摄入量仅来自家庭接触和食物摄入，我们使用一室药代动力学模型估算时间依赖性生物标志物浓度。结果：擦拭和血清浓度之间的R2随着家庭暴露的贡献增加而增加。尽管擦拭和血清测量之间的R2在两种化合物的相同范围内，但家庭暴露对总暴露的相对贡献可能相差20％，因此提供了它们对身体负担的贡献的相对指示。结论：本文介绍的新方法为评估方案或实验提供了见识，在方案或实验中必须权衡样品，暴露和化合物的变异性，以解释暴露数据之间的关联。

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