4.5 Article

Water Dilutes and Alcohol Concentrates Urinary Arsenic Species When Food is the Dominant Source of Exposure

期刊

EXPOSURE AND HEALTH
卷 12, 期 4, 页码 699-710

出版社

SPRINGER
DOI: 10.1007/s12403-019-00329-5

关键词

Arsenic; Diet; Metabolism; Speciation; Urine

资金

  1. Atlantic Philanthropies
  2. Economic and Social Research Council
  3. UKCRC Centre of Excellence for Public Health Northern Ireland
  4. Centre for Ageing Research and Development in Ireland
  5. Office of the First Minister and Deputy First Minister, the Health and Social Care Research and Development Division of the Public Health Agency
  6. Wellcome Trust/Wolfson Foundation
  7. Queen's University Belfast
  8. ESRC [ES/L008459/1] Funding Source: UKRI

向作者/读者索取更多资源

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.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.5
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据