National Research Council-Institute of Clinical Physiology, 56100 Pisa, Italy.
Laboratory of Experimental and Clinical Toxicology, Maugeri Clinical Scientific Institutes, 27100 Pavia, Italy.
Int J Environ Res Public Health. 2018 Feb 9;15(2):299. doi: 10.3390/ijerph15020299.
Arsenic is ubiquitous and has a potentially adverse impact on human health. We compared the distribution of concentrations of urinary inorganic arsenic plus methylated forms (uc(iAs+MMA+DMA)) in four Italian areas with other international studies, and we assessed the relationship between uc(iAs+MMA+DMA) and various exposure factors. We conducted a human biomonitoring study on 271 subjects (132 men) aged 20-44, randomly sampled and stratified by area, gender, and age. Data on environmental and occupational exposure and dietary habits were collected through a questionnaire. Arsenic was speciated using chromatographic separation and inductively coupled mass spectrometry. Associations between uc(iAs+MMA+DMA) and exposure factors were evaluated using the geometric mean ratio (GMR) with a 90% confidence interval by stepwise multiple regression analysis. The 95th percentile value of uc(iAs+MMA+DMA) for the whole sample (86.28 µg/L) was higher than other national studies worldwide. A statistical significant correlation was found between uc(iAs+MMA+DMA) and occupational exposure (GMR: 2.68 [1.79-4.00]), GSTT gene (GMR: 0.68 [0.52-0.80]), consumption of tap water (GMR: 1.35 [1.02-1.77]), seafood (GMR: 1.44 [1.11-1.88]), whole milk (GMR: 1.34 [1.04-1.73]), and fruit/vegetables (GMR: 1.37 [1.03-1.82]). This study demonstrated the utility of uc(iAs+MMA+DMA) as a biomarker to assess environmental exposure. In a public health context, this information could be used to support remedial action, to prevent individuals from being further exposed to environmental arsenic sources.
砷是普遍存在的,对人类健康具有潜在的不利影响。我们比较了四个意大利地区的尿无机砷加甲基化形式(uc(iAs+MMA+DMA))浓度分布与其他国际研究的结果,并评估了 uc(iAs+MMA+DMA)与各种暴露因素之间的关系。我们对 271 名 20-44 岁的随机抽样和按地区、性别和年龄分层的受试者进行了一项人体生物监测研究。通过问卷收集了环境和职业暴露以及饮食习惯的数据。使用色谱分离和电感耦合质谱法对砷进行了形态分析。使用逐步多元回归分析,通过几何平均比(GMR)及其 90%置信区间评估 uc(iAs+MMA+DMA)与暴露因素之间的关联。整个样本的 uc(iAs+MMA+DMA)第 95 百分位数(86.28 µg/L)高于全球其他国家的研究。uc(iAs+MMA+DMA)与职业暴露(GMR:2.68 [1.79-4.00])、GSTT 基因(GMR:0.68 [0.52-0.80])、自来水(GMR:1.35 [1.02-1.77])、海鲜(GMR:1.44 [1.11-1.88])、全脂牛奶(GMR:1.34 [1.04-1.73])和水果/蔬菜(GMR:1.37 [1.03-1.82])之间存在统计学显著相关性。这项研究证明了 uc(iAs+MMA+DMA)作为评估环境暴露的生物标志物的效用。在公共卫生方面,这些信息可用于支持补救行动,防止个人进一步暴露于环境砷源。