Water Dilutes and Alcohol Concentrates Urinary Arsenic Species When Food is the Dominant Source of Exposure
Water Dilutes and Alcohol Concentrates Urinary Arsenic Species When Food is the Dominant Source of Exposure
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DOI：
10.1007/s12403-019-00329-5
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发表时间：
2019-11-05
影响因子：
6.7
通讯作者：
Meharg，Andrew A.
中科院分区：
文献类型：
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作者：
de Moraes，Natalia V.;Carey，Manus;Meharg，Andrew A.
暴露于某些砷（As）物质与癌症风险增加和广泛的其他健康问题有关，即使是在低水平。在这里，我们使用尿液作为生物标志物的内部剂量在一个特征良好的队列饮食，人口统计学和地理暴露。对来自老龄化纵向研究（NICOLA）的北方爱尔兰队列的89名年龄≥ 50岁的参与者进行了现场尿样中的As形态测定，分层以覆盖全国。主成分分析表明，所有的物种聚集在一起，这表明砷甜菜碱，无机砷（iAs）和甲基化的物种monomethylarsonic酸和dimethylarsinic酸的形式有一个共同的来源。海鲜和酒精消费量呈正相关，而乳制品（即牛奶）和自来水呈负相关。多元回归分析表明，饮食解释了约30%的尿iAs浓度的变异。没有发现地理是一个预测的作为曝光。乳制品消费量呈负相关，是尿中iAs的最佳预测因子，解释了15.9%的变异性。大多数的生物标志物的变化没有解释，这表明其他来源和其他非预测变量的贡献作为代谢和消除。
Exposure to certain arsenic (As) species has been associated with increased cancer risk and a wide range of other health concerns, even at low levels. Here we used urine as a biomarker of As internal dose in a well-characterized cohort to relate diet, demographics and geography to exposure. As speciation in spot urine samples was determined for 89 participants aged ≥ 50 years from the Northern Ireland Cohort for the Longitudinal Study of Ageing (NICOLA), stratified to cover the country. Principal component analysis showed that all As species clustered together, suggesting that arsenobetaine, inorganic As (iAs) and the methylated species monomethylarsonic acid and dimethylarsinic acid forms have a common source. Seafood and alcohol consumption were positively correlated with As species, while dairy products (i.e. milk) and tap water were negatively correlated. Multiple regression analysis showed that diet explained approximately 30% of the variability in urinary iAs concentrations. Geography was not found to be a predictor of As exposure. Dairy consumption was negatively correlated and the best predictor of iAs in urine, explaining 15.9% of the variability. The majority of the variation in As biomarkers was not explained, suggesting the contribution of other sources and other non-predicted variables on As metabolism and elimination.