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挥发性有机化合物混合物共同暴露对尿液生物标志物影响的评估与建模

Evaluation and modeling of the impact of coexposures to VOC mixtures on urinary biomarkers.

作者信息

Marchand Axelle, Aranda-Rodriguez Rocio, Tardif Robert, Nong Andy, Haddad Sami

机构信息

a Department of Environmental and Occupational Health , ESPUM, IRSPUM, Université de Montréal , Montreal , QC , Canada .

b Chair of Toxicological Risk Assessment and Management, Université de Montréal , Montreal , QC , Canada , and.

出版信息

Inhal Toxicol. 2016;28(6):260-73. doi: 10.3109/08958378.2016.1162232. Epub 2016 Apr 6.

Abstract

CONTEXT

Urinary biomarkers are widely used among biomonitoring studies because of their ease of collection and nonintrusiveness. Chloroform and TEX (i.e., toluene, ethylbenzene, and m-xylene) are chemicals that are often found together because of common use. Although interactions occurring among TEX are well-known, no information exists on possible kinetic interactions between these chemicals and chloroform at the level of parent compound or urinary biomarkers.

OBJECTIVE

The objective of this study was therefore to study the possible interactions between these compounds in human volunteers with special emphasis on the potential impact on urinary biomarkers.

MATERIALS AND METHODS

Five male volunteers were exposed by inhalation for 6 h to single, binary, and quaternary mixtures that included chloroform. Exhaled air and blood samples were collected and analyzed for parent compound concentrations. Urinary biomarkers (o-cresol, mandelic, and m-methylhippuric acids) were quantified in urine samples. Published PBPK model for chloroform was used, and a Vmax of 3.4 mg/h/kg was optimized to provide a better fit with blood data. Adapted PBPK models from our previous study were used for parent compounds and urinary biomarkers for TEX.

RESULTS

Binary exposures with chloroform resulted in no significant interactions. Experimental data for quaternary mixture exposures were well predicted by PBPK models using published description of competitive inhibition among TEX components. However, no significant interactions were observed at levels used in this study.

CONCLUSION

PBPK models for urinary biomarkers proved to be a good tool in quantifying exposure to VOC.

摘要

背景

由于尿液生物标志物易于收集且非侵入性,因此在生物监测研究中被广泛使用。氯仿和TEX(即甲苯、乙苯和间二甲苯)是因共同用途而经常同时出现的化学物质。虽然TEX之间发生的相互作用是众所周知的,但关于这些化学物质与氯仿在母体化合物或尿液生物标志物水平上可能存在的动力学相互作用尚无相关信息。

目的

因此,本研究的目的是研究这些化合物在人类志愿者体内可能的相互作用,特别强调对尿液生物标志物的潜在影响。

材料与方法

五名男性志愿者通过吸入方式暴露于含有氯仿的单一、二元和四元混合物中6小时。收集呼出的空气和血液样本,并分析母体化合物浓度。对尿液样本中的尿液生物标志物(邻甲酚、扁桃酸和间甲基马尿酸)进行定量分析。使用已发表的氯仿PBPK模型,并将最大反应速度优化为3.4mg/h/kg,以更好地拟合血液数据。采用我们之前研究中改编的PBPK模型来模拟TEX的母体化合物和尿液生物标志物。

结果

氯仿的二元暴露未产生显著相互作用。使用已发表的TEX成分间竞争性抑制描述的PBPK模型,对四元混合物暴露的实验数据进行了很好的预测。然而,在本研究使用的水平上未观察到显著相互作用。

结论

尿液生物标志物的PBPK模型被证明是量化挥发性有机化合物暴露的良好工具。

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