Department of Occupational and Environmental Health, Center for Primary Care and Public Health (Unisanté), University Lausanne, Route de la Corniche 2, 1066, Epalinges, Switzerland.
Service Santé-Travail, Régie autonome des transports parisiens (RATP), 88 Boulevard Sébastopol, 75003, Paris, France.
Int Arch Occup Environ Health. 2024 May;97(4):387-400. doi: 10.1007/s00420-024-02054-2. Epub 2024 Mar 20.
In this pilot study on subway workers, we explored the relationships between particle exposure and oxidative stress biomarkers in exhaled breath condensate (EBC) and urine to identify the most relevant biomarkers for a large-scale study in this field.
We constructed a comprehensive occupational exposure assessment among subway workers in three distinct jobs over 10 working days, measuring daily concentrations of particulate matter (PM), their metal content and oxidative potential (OP). Individual pre- and post-shift EBC and urine samples were collected daily. Three oxidative stress biomarkers were measured in these matrices: malondialdehyde (MDA), 8-hydroxy-2'deoxyguanosine (8-OHdG) and 8-isoprostane. The association between each effect biomarker and exposure variables was estimated by multivariable multilevel mixed-effect models with and without lag times.
The OP was positively associated with Fe and Mn, but not associated with any effect biomarkers. Concentration changes of effect biomarkers in EBC and urine were associated with transition metals in PM (Cu and Zn) and furthermore with specific metals in EBC (Ba, Co, Cr and Mn) and in urine (Ba, Cu, Co, Mo, Ni, Ti and Zn). The direction of these associations was both metal- and time-dependent. Associations between Cu or Zn and MDA generally reached statistical significance after a delayed time of 12 or 24 h after exposure. Changes in metal concentrations in EBC and urine were associated with MDA and 8-OHdG concentrations the same day.
Associations between MDA in both EBC and urine gave opposite response for subway particles containing Zn versus Cu. This diverting Zn and Cu pattern was also observed for 8-OHdG and urinary concentrations of these two metals. Overall, MDA and 8-OHdG responses were sensitive for same-day metal exposures in both matrices. We recommend MDA and 8-OHdG in large field studies to account for oxidative stress originating from metals in inhaled particulate matter.
在这项针对地铁工作人员的初步研究中,我们探讨了呼出气冷凝物(EBC)和尿液中颗粒暴露与氧化应激生物标志物之间的关系,以确定该领域大规模研究中最相关的生物标志物。
我们在 10 个工作日内对 3 种不同工作岗位的地铁工作人员进行了全面的职业暴露评估,测量了每日颗粒物(PM)浓度、其金属含量和氧化潜能(OP)。每天采集个人班前和班后 EBC 和尿液样本。在这些基质中测量了 3 种氧化应激生物标志物:丙二醛(MDA)、8-羟基-2'-脱氧鸟苷(8-OHdG)和 8-异前列腺素。通过带有和不带有滞后时间的多变量多层混合效应模型,估计每个效应生物标志物与暴露变量之间的关联。
OP 与 Fe 和 Mn 呈正相关,但与任何效应生物标志物均无关联。EBC 和尿液中效应生物标志物的浓度变化与 PM 中的过渡金属(Cu 和 Zn)以及 EBC 中的特定金属(Ba、Co、Cr 和 Mn)和尿液中的特定金属(Ba、Cu、Co、Mo、Ni、Ti 和 Zn)有关。这些关联的方向既与金属有关,也与时间有关。Cu 或 Zn 与 MDA 之间的关联在暴露后 12 或 24 小时后通常具有统计学意义。EBC 和尿液中金属浓度的变化与 MDA 和 8-OHdG 浓度在同一天相关。
对于含有 Zn 与 Cu 的地铁颗粒,EBC 和尿液中的 MDA 之间的关联表现出相反的反应。这种 Zn 和 Cu 的分散模式也在 8-OHdG 和这两种金属的尿液浓度中观察到。总体而言,MDA 和 8-OHdG 对两种基质中当天的金属暴露均敏感。我们建议在大型现场研究中使用 MDA 和 8-OHdG,以说明吸入颗粒物中金属引起的氧化应激。