The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Exposure to arsenic in drinking water is associated with increased prevalence of diabetes: a cross-sectional study in the Zimapán and Lagunera regions in Mexico
Open accessAbstract
Background: Human exposures to inorganic arsenic (iAs) have been linked to an increased risk of diabetes mellitus. Recent laboratory studies showed that methylated trivalent metabolites of iAs may play key roles in the diabetogenic effects of iAs. Our study examined associations between chronic exposure to iAs in drinking water, metabolism of iAs, and prevalence of diabetes in arsenicosis-endemic areas of Mexico. Methods: We used fasting blood glucose (FBG), fasting plasma insulin (FPI), oral glucose tolerance test (OGTT), glycated hemoglobin (HbA1c), and insulin resistance (HOMA-IR) to characterize diabetic individuals. Arsenic levels in drinking water and urine were determined to estimate exposure to iAs. Urinary concentrations of iAs and its trivalent and pentavalent methylated metabolites were measured to assess iAs metabolism. Associations between diabetes and iAs exposure or urinary metabolites of iAs were estimated by logistic regression with adjustment for age, sex, hypertension and obesity. Results: The prevalence of diabetes was positively associated with iAs in drinking water (OR 1.13 per 10 ppb, p < 0.01) and with the concentration of dimethylarsinite (DMAs III) in urine (OR 1.24 per inter-quartile range, p = 0.05). Notably, FPI and HOMA-IR were negatively associated with iAs exposure (β -2.08 and -1.64, respectively, p < 0.01), suggesting that the mechanisms of iAs-induced diabetes differ from those underlying type-2 diabetes, which is typically characterized by insulin resistance. Conclusions: Our study confirms a previously reported, but frequently questioned, association between exposure to iAs and diabetes, and is the first to link the risk of diabetes to the production of one of the most toxic metabolites of iAs, DMAs III.
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Self-citationDevesa, V., Maria Del Razo, L., Adair, B., Drobná, Z., Waters, S. B., Hughes, M. F., Stýblo, M., & Thomas, D. J. (2004) · J. Anal. At. Spectrom. · doi:10.1039/b407388f · Cited by 72
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Naujokas, M. F., Anderson, B., Ahsan, H., Aposhian, H. V., Graziano, J. H., Thompson, C., & Suk, W. A. (2013) · Environmental Health Perspectives · doi:10.1289/ehp.1205875 · Cited by 1,372
Metabolism disrupting chemicals and metabolic disorders
Heindel, J. J., Blumberg, B., Cave, M., Machtinger, R., Mantovani, A., Mendez, M. A., Nadal, A., Palanza, P., Panzica, G., Sargis, R., et al. (2017) · Reproductive Toxicology · doi:10.1016/j.reprotox.2016.10.001 · Cited by 1,101
Kuo, C.-C., Moon, K. A., Wang, S.-L., Silbergeld, E., & Navas-Acien, A. (2017) · Environmental Health Perspectives · doi:10.1289/ehp577 · Cited by 312
Molin, M., Ulven, S. M., Meltzer, H. M., & Alexander, J. (2015) · Journal of Trace Elements in Medicine and Biology · doi:10.1016/j.jtemb.2015.01.010 · Cited by 229
Risk of post-fire metal mobilization into surface water resources: A review
Abraham, J., Dowling, K., & Florentine, S. (2017) · Science of The Total Environment · doi:10.1016/j.scitotenv.2017.05.096 · Cited by 156
Metadata
- Authors
- Del Razo, L. M., García-Vargas, G. G., Valenzuela, O. L., Castellanos, E. H., Sánchez-Peña, L. C., Currier, J. M., Drobná, Z., Loomis, D., & Stýblo, M.
- Venue
- Environmental Health
- Published
- 2011-08-24
- Volume
- 10
- Issue
- 1
- Pages
- 73-73
- ISSN
- 1476-069X (ISSN-L)
- OpenAlex
- W2171979308
- Cited by
- 231
- References
- 5
- FWCI
- 12.63
- Type
- journal article
- Language
- en
- Open access
- gold
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- Del Razo, L. M., García-Vargas, G. G., Valenzuela, O. L., Castellanos, E. H., Sánchez-Peña, L. C., Currier, J. M., Drobná, Z., Loomis, D., & Stýblo, M. (2011). Exposure to arsenic in drinking water is associated with increased prevalence of diabetes: a cross-sectional study in the Zimapán and Lagunera regions in Mexico. Environmental Health. https://doi.org/10.1186/1476-069x-10-73
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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