Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1289/EHP1992 |
Arsenic Exposure from Drinking Water and Urinary Metabolomics: Associations and Long-Term Reproducibility in Bangladesh Adults | |
Wu, Fen1,2; Chi, Liang3; Ru, Hongyu3; Parvez, Faruque4; Slavkovich, Vesna4; Eunus, Mahbub5; Ahmed, Alauddin5; Islam, Tariqul5; Rakibuz-Zaman, Muhammad5; Hasan, Rabiul5; Sarwar, Golam5; Graziano, Joseph H.4; Ahsan, Habibul6; Lu, Kun3; Chen, Yu1,2 | |
2018 | |
发表期刊 | ENVIRONMENTAL HEALTH PERSPECTIVES |
ISSN | 0091-6765 |
EISSN | 1552-9924 |
出版年 | 2018 |
卷号 | 126期号:1 |
文章类型 | Article |
语种 | 英语 |
国家 | USA; Bangladesh |
英文摘要 | BACKGROUND: Chronic exposure to inorganic arsenic from drinking water has been associated with a host of cancer and noncancer diseases. The application of metabolomics in epidemiologic studies may allow researchers to identify biomarkers associated with arsenic exposure and its health effects. OBJECTIVE: Our goal was to evaluate the long-term reproducibility of urinary metabolites and associations between reproducible metabolites and arsenic exposure. METHODS: We studied samples and data from 112 nonsmoking participants (58 men and 54 women) who were free of any major chronic diseases and who were enrolled in the Health Effects of Arsenic Longitudinal Study (HEALS), a large prospective cohort study in Bangladesh. Using a global gas chromatography mass spectrometry platform, we measured metabolites in their urine samples, which were collected at baseline and again 2 y apart, and estimated intraclass correlation coefficients (ICCs). Linear regression was used to assess the association between arsenic exposure at baseline and metabolite levels in baseline urine samples. RESULTS: We identified 2,519 molecular features that were present all 224 urine samples from the 112 participants, of which 301 had an ICC of >= 0.60. Of the 301 molecular features, water arsenic was significantly related to 31 molecular features and urinary arsenic was significantly related to 74 molecular features alter adjusting for multiple comparisons. Six metabolites with a confirmed identity were identified from the 82 molecular features that were significantly associated with either water arsenic or urinary arsenic after adjustment for multiple comparisons. CONCLUSIONS: Our study identified urinary metabolites with long-term reproducibility that were associated with arsenic exposure. The data established the feasibility of using metabolomics in future larger studies. |
领域 | 资源环境 |
收录类别 | SCI-E |
WOS记录号 | WOS:000424212100011 |
WOS关键词 | BLOOD-PRESSURE ; METHYLATION CAPACITY ; GUT MICROBIOME ; GLYCINE ; RATS ; METABOLISM ; WOMEN ; METHIONINE ; SERINE ; COHORT |
WOS类目 | Environmental Sciences ; Public, Environmental & Occupational Health ; Toxicology |
WOS研究方向 | Environmental Sciences & Ecology ; Public, Environmental & Occupational Health ; Toxicology |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/23329 |
专题 | 资源环境科学 |
作者单位 | 1.NYU, Sch Med, Dept Populat Hlth, 650 First Ave,Room 510, New York, NY 10016 USA; 2.NYU, Dept Environm Med, Sch Med, 650 First Ave,Room 510, New York, NY 10016 USA; 3.Univ North Carolina Chapel Hill, Dept Environm Sci & Engn, Chapel Hill, NC USA; 4.Columbia Univ, Mailman Sch Publ Hlth, Dept Environm Hlth Sci, New York, NY USA; 5.U Chicago Res Bangladesh Ltd, Dhaka, Bangladesh; 6.Univ Chicago, Dept Hlth Studies, Ctr Canc Epidemiol & Prevent, Chicago, IL 60637 USA |
推荐引用方式 GB/T 7714 | Wu, Fen,Chi, Liang,Ru, Hongyu,et al. Arsenic Exposure from Drinking Water and Urinary Metabolomics: Associations and Long-Term Reproducibility in Bangladesh Adults[J]. ENVIRONMENTAL HEALTH PERSPECTIVES,2018,126(1). |
APA | Wu, Fen.,Chi, Liang.,Ru, Hongyu.,Parvez, Faruque.,Slavkovich, Vesna.,...&Chen, Yu.(2018).Arsenic Exposure from Drinking Water and Urinary Metabolomics: Associations and Long-Term Reproducibility in Bangladesh Adults.ENVIRONMENTAL HEALTH PERSPECTIVES,126(1). |
MLA | Wu, Fen,et al."Arsenic Exposure from Drinking Water and Urinary Metabolomics: Associations and Long-Term Reproducibility in Bangladesh Adults".ENVIRONMENTAL HEALTH PERSPECTIVES 126.1(2018). |
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