Back to Search Start Over

Determinants of arsenic methylation efficiency and urinary arsenic level in pregnant women in Bangladesh

Authors :
Marc G. Weisskopf
Quazi Quamruzzaman
Golam Mostofa
Pi-I D. Lin
Brent A. Coull
Shangzhi Gao
Li Su
David C. Christiani
Yu-Mei Hsueh
Mohammad L. Rahman
Mahmudur Rahman
Source :
Environmental Health, Vol 18, Iss 1, Pp 1-14 (2019), Environmental Health
Publication Year :
2019
Publisher :
BMC, 2019.

Abstract

BackgroundPrenatal inorganic arsenic (iAs) exposure is associated with pregnancy outcomes. Maternal capabilities of arsenic biotransformation and elimination may influence the susceptibility of arsenic toxicity. Therefore, we examined the determinants of arsenic metabolism of pregnant women in Bangladesh who are exposed to high levels of arsenic.MethodsIn a prospective birth cohort, we followed 1613 pregnant women in Bangladesh and collected urine samples at two prenatal visits: one at 4–16 weeks, and the second at 21–37 weeks of pregnancy. We measured major arsenic species in urine, including iAs (iAs%) and methylated forms. The proportions of each species over the sum of all arsenic species were used as biomarkers of arsenic methylation efficiency. We examined the difference in arsenic methylation using a paired t-test between first and second visits. Using linear regression, we examined determinants of arsenic metabolism, including age, BMI at enrollment, education, financial provider income, arsenic exposure level, and dietary folate and protein intake, adjusted for daily energy intake.ResultsComparing visit 2 to visit 1, iAs% decreased 1.1% (p p 50 μg/g-creatinine) gestational age at measurement was strongly associated with DMA% (β = 0.38, p ConclusionsOur findings indicate that arsenic metabolism and adjusted U-As level increase during pregnancy. We have identified determinants of arsenic methylation efficiency at visit 1.

Details

Language :
English
Volume :
18
Issue :
1
Database :
OpenAIRE
Journal :
Environmental Health
Accession number :
edsair.doi.dedup.....00112ccaf1e67f4f5a82e86b012ad25a