Toenail metal concentration as a biomarker of occupational welding fume exposure.

Toenail metal concentration as a biomarker of occupational welding fume exposure.
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DOI:
10.1080/15459624.2013.875182
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发表时间:
2014
影响因子:
2
通讯作者:
Cavallari JM
Cavallari JM
中科院分区:
环境科学与生态学4区
文献类型:
--
作者:
Grashow R;Zhang J;Fang SC;Weisskopf MG;Christiani DC;Cavallari JM

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在暴露于重金属的人群中,很少有生物标志物能够捕获中间暴露窗口。我们试图确定趾甲金属浓度与暴露于各种富含金属的焊接烟雾的焊工之前 12 个月的工作活动之间的相关性。通过当地工会招募的 48 名参与者提供了 69 套剪下来的脚趾甲。工会提供的和工人验证的个人工作历史被用来量化焊接时间和呼吸器的使用情况。使用 ICP-MS 消解并分析脚趾甲样品中的铅 (Pb)、锰 (Mn)、镉 (Cd)、镍 (Ni) 和砷 (As)。使用 Spearman 相关系数来检查趾甲金属浓度之间的相关性。使用混合模型来考虑多个参与时间,我们将焊接时间划分为三个月的时间间隔,并检查焊接时间与对数转换的脚趾甲 Pb、Mn、Cd、Ni 和 As 浓度的相关性。 Ni 的浓度最高,其次是 Mn、Pb、As 和 Cd。除 Ni 和 As 之外(rho=0.20,p=0.17),所有金属都彼此显着相关(rho 范围=0.28-0.51)。使用根据年龄、呼吸器使用情况、吸烟状况和 BMI 进行调整的混合模型,我们发现 Mn 与修剪前 7-9 个月的焊接时间相关 (p = 0.003),Pb 与修剪前 10-12 个月的焊接时间相关 (p=0.03) 以及全年 (p=0.04)。 Cd 与剪切前 10-12 个月的焊接工时相关(p=0.05),也与上一年的焊接总工时相关(p=0.02)。剪断前 7-9 个月,Ni 与焊接时间之间的关联接近显着性 (p=0.06)。脚趾甲金属浓度与长期暴露指标(焊工年数)无关。结果表明,锰、铅和镉可能具有反映工作活动的特定相关暴露窗口。在暴露程度不同的人群中,脚趾甲可以作为样本采集前一年中不同时期职业性金属烟雾暴露于锰、铅和镉的有用生物标志物。
In populations exposed to heavy metals, there are few biomarkers that capture intermediate exposure windows. We sought to determine the correlation between toenail metal concentrations and prior 12 month work activity in welders with variable, metal-rich, welding fume exposures. Forty-eight participants, recruited through a local union, provided 69 sets of toenail clippings. Union-supplied and worker verified personal work histories were used to quantify hours welded and respirator use. Toenail samples were digested and analyzed for lead (Pb), manganese (Mn), cadmium (Cd), nickel (Ni) and arsenic (As) using ICP-MS. Spearman correlation coefficients were used to examine the correlation between toenail metal concentrations. Using mixed models to account for multiple participation times, we divided hours welded into three-month intervals and examined how weld hours correlated with log-transformed toenail Pb, Mn, Cd, Ni and As concentrations. Highest concentrations were found for Ni, followed by Mn, Pb and As, and Cd. All of the metals were significantly correlated with one another (rho range=0.28–0.51), with the exception of Ni and As (rho=0.20, p=0.17). Using mixed models adjusted for age, respirator use, smoking status and BMI, we found that Mn was associated with weld hours 7–9 months prior to clipping (p = 0.003), Pb was associated with weld hours 10–12 months prior to clipping (p=0.03) and over the entire year (p=0.04). Cd was associated with weld hours 10–12 months prior to clipping (p=0.05), and also with the previous year’s total hours welded (p=0.02). The association between Ni and weld hours 7–9 months prior to clipping approached significance (p=0.06). Toenail metal concentrations were not associated with the long-term exposure metric, years as a welder. Results suggest Mn, Pb, and Cd may have particular windows of relevant exposure that reflect work activity. In a population with variable exposure, toenails may serve as useful biomarkers for occupational metal fume exposures to Mn, Pb and Cd during distinct periods over the year prior to sample collection.
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