ArticleEnvironmental health perspectives2018
Arsenic Exposure from Drinking Water and Urinary Metabolomics: Associations and Long-Term Reproducibility in Bangladesh Adults.
Article in Environmental health perspectives, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed, 32 citations in OpenAlex.
- Metabolic Signature of Arsenic Exposure and Metabolism: The Folic Acid and Creatine Trial.Environmental science & technology · 2025Trial
- Analysis of Relationships between Metabolic Changes and Selected Nutrient Intake in Women Environmentally Exposed to Arsenic.Metabolites · 2024Article
- Chronic Arsenic Exposure Perturbs Gut Microbiota and Bile Acid Homeostasis in Mice.Chemical research in toxicology · 2023Article
- Metabolomics-based study of potential biomarkers of sepsis.Scientific reports · 2023Article
- Metabolic Changes and Their Associations with Selected Nutrients Intake in the Group of Workers Exposed to Arsenic.Metabolites · 2023Article
- Metabolome-Wide Association Study of Multiple Plasma Metals with Serum Metabolomic Profile among Middle-to-Older-Aged Chinese Adults.Environmental science & technology · 2022Article
- Metabolomics as a valid analytical technique in environmental exposure research: application and progress.Metabolomics : Official journal of the Metabolomic Society · 2022Review
- An atlas of metallome and metabolome interactions and associations with incident diabetes in the Strong Heart Family Study.Environment international · 2021Article
- Application of metabolomics to characterize environmental pollutant toxicity and disease risks.Reviews on environmental health · 2019Review
- Biomarker Discovery for Immunotherapy of Pituitary Adenomas: Enhanced Robustness and Prediction Ability by Modern Computational Tools.International journal of molecular sciences · 2019Article
- Assessing the Effectiveness of Direct Data Merging Strategy in Long-Term and Large-Scale Pharmacometabonomics.Frontiers in pharmacology · 2019Article
- Lipid Metabolism Alterations in a Rat Model of Chronic and Intergenerational Exposure to Arsenic.BioMed research international · 2019Article
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Authors and funding
15 authors at 5 institutions in 2 countries.
Funding
Abstract
backgroundChronic 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.
objectiveOur goal was to evaluate the long-term reproducibility of urinary metabolites and associations between reproducible metabolites and arsenic exposure.
methodsWe 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.
resultsWe identified 2,519 molecular features that were present in 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 after 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.
conclusionsOur 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. https://doi.org/10.1289/EHP1992.
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