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挥发性有机化合物暴露与多种氧化损伤生物标志物之间的关联:方法开发,人类暴露,以及用于电子废物污染预测的应用

Jia-Rong Wang¹, Hong-Xuan Kuang², Ye Liu³

¹State Environmental Protection Key Laboratory of Environmental Pollution Health Risk Assessment, South China Institute of Environmental Sciences, Ministry of Ecology and Environment, Guangzhou 510655, PR China; School of Public Health, China Medical University, Liaoning 110122, PR China.

The Science of the total environment

|November 7, 2024

概括

电子废物工作人员暴露于挥发性有机化合物 (VOC) 和氧化损伤生物标志物 (ODB) 的高水平. 胆固醇的ODBs可能比核酸的ODBs更好地表明VOCs带来的健康风险.

科学领域:

环境健康环境健康
毒理学毒理学毒理学
生物标志物研究生物标志物研究

背景情况:

电子废物回收区 (ERA) 由于挥发性有机化合物 (VOC) 存在,对工人和儿童造成健康风险.
在ERA中对VOC的内部暴露风险和特定生物标志物的研究不足.
氧化损害生物标志物 (ODB) 对于评估环境暴露对健康的影响至关重要.

研究的目的:

开发和应用一种用于同时分析尿液中的VOC代谢物 (mVOCs) 和ODBs的方法.
为了比较电子垃圾工人,电子垃圾儿童和对照成年人的暴露和氧化压力水平.
调查VOC混合物,ODB和潜在的调解效应之间的关联.

主要方法:

使用超高性能液态染色学与四极/轨道轨道高分辨率质谱学 (UPLC-轨道轨道轨道-HRMS) 结合,对12种尿液mVOC和ODB进行同时分析.
应用加权量子式和,量子式g计算和贝叶斯核心机器回归模型.
评估mVOCs和ODBs作为联合暴露指纹,用于预测电子废物污染.

主要成果:

与儿童和对照人群相比,电子废物工作者暴露于VOC和ODB的水平显著更高.
在电子废物工作者中发现了几个VOC的显著非致癌风险.
挥发性有机化合物混合物与胆固醇ODBs有积极的关联,这介导了VOCs和核酸ODBs之间的联系.
结合的mVOC和ODB在预测电子废物污染方面表现优于单个标志物.

结论:

尿液中的mVOCs和ODBs为电子废物回收区的内部暴露风险提供了宝贵的见解.
胆固醇ODBs可能比核酸ODBs更为敏感的VOC诱导的健康风险指标.
综合暴露和影响生物标记指纹为选电子废物污染和开发预测模型提供了一种新方法.

关键词:

致癌的风险致癌的风险暴露指纹的指纹.机器学习是机器学习.氧化应激是一种氧化应激.挥发性有机化合物挥发性有机化合物

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