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利用基于核磁共振的呼出气冷凝物代谢组学对工人进行生物监测:一项初步研究。

Biomonitoring of workers using nuclear magnetic resonance-based metabolomics of exhaled breath condensate: A pilot study.

机构信息

Pulmonary Rehabilitation Unit, ICS Maugeri SpA SB, Institute of Telese Terme, Benevento, Italy.

Institute of Biomolecular Chemistry, National Research Council, Pozzuoli, Naples, Italy.

出版信息

Toxicol Lett. 2018 Dec 1;298:4-12. doi: 10.1016/j.toxlet.2018.10.018. Epub 2018 Oct 22.

Abstract

Exhaled breath condensate (EBC) is a non-invasive biological matrix that allows easy access to the lung epithelial lining fluid. It can provide, for instance, useful biochemical information in workers following inhalatory exposure. Recently, nuclear magnetic resonance (NMR)-based metabolomics has been applied to EBC profiling to identify metabolic phenotypes ("metabotypes") of relevance in respiratory medicine. We aimed at verifying if NMR-based metabolomics of EBC, combined with statistical analysis, could find differences in metabolomic profiles between groups of subjects occupationally exposed to levels of airborne inhalable dust, phenol, formaldehyde and volatile organic compounds (VOCs) below regulatory limits. Samples were collected from 20 blue-collar workers without wearing a mask (therefore "exposed" to ambient air) and after wearing a mask ("not exposed"). This procedure was only allowed after the standard air quality tests had shown levels of airborne xenobiotics below the occupational exposure limit or even below the LOD. Ten white-collar controls were also included. After partial least squares discriminant analysis, the exposed to the controlled plant environment and the not exposed groups were clearly separated, and discrimination was due to alteration of fatty acids and alcohols, whose statistical significance was also evaluated. Our results show that NMR-based metabolomics of EBC is a useful tool that has the potential to be successfully used in occupational health to distinguish between subjects exposed and non-exposed to very low airborne levels of chemicals.

摘要

呼出气冷凝物 (EBC) 是一种非侵入性的生物基质,可轻松进入肺上皮衬液。例如,它可以为吸入性暴露后的工人提供有用的生化信息。最近,基于核磁共振 (NMR) 的代谢组学已应用于 EBC 分析,以确定呼吸医学中相关的代谢表型(“代谢类型”)。我们旨在验证 EBC 的基于 NMR 的代谢组学,结合统计分析,是否可以在职业性暴露于空气中可吸入粉尘、苯酚、甲醛和挥发性有机化合物 (VOC) 水平低于监管限制的组之间找到代谢谱的差异。从 20 名未戴口罩(因此“暴露”于环境空气中)和戴口罩(“未暴露”)的蓝领工人中采集样本。只有在标准空气质量测试显示空气中的外来物质水平低于职业暴露限值甚至低于检测限后,才能进行此程序。还包括 10 名白领对照者。经偏最小二乘判别分析,暴露于受控工厂环境和未暴露组的人群明显分开,区分是由于脂肪酸和醇的改变,其统计学意义也进行了评估。我们的结果表明,EBC 的基于 NMR 的代谢组学是一种有用的工具,有可能成功地用于职业健康,以区分暴露于和未暴露于非常低水平空气中化学物质的人群。

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