Variability in biomarkers of arsenic exposure and metabolism in adults over time

Kile, ML; Hoffman, E; Hsueh, YM; Afroz, S; Quamruzzaman, Q; Rahman, M; Mahiuddin, G; Ryan, L; Christiani, DC

Variability in biomarkers of arsenic exposure and metabolism in adults over time

Kile, ML Hoffman, E Hsueh, YM Afroz, S Quamruzzaman, Q Rahman, M Mahiuddin, G Ryan, L

Christiani, DC

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Publication Type:: Journal Article
Citation:: Environmental Health Perspectives, 2009, 117 (3), pp. 455 - 460
Issue Date:: 2009-04-14

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Field	Value	Language
dc.contributor.author	Kile, ML	en_US
dc.contributor.author	Hoffman, E	en_US
dc.contributor.author	Hsueh, YM	en_US
dc.contributor.author	Afroz, S	en_US
dc.contributor.author	Quamruzzaman, Q	en_US
dc.contributor.author	Rahman, M	en_US
dc.contributor.author	Mahiuddin, G	en_US
dc.contributor.author	Ryan, L https://orcid.org/0000-0001-5957-2490	en_US
dc.contributor.author	Christiani, DC	en_US
dc.date.available	2008-11-19	en_US
dc.date.issued	2009-04-14	en_US
dc.identifier.citation	Environmental Health Perspectives, 2009, 117 (3), pp. 455 - 460	en_US
dc.identifier.issn	0091-6765	en_US
dc.identifier.uri	http://hdl.handle.net/10453/88304
dc.description.abstract	Background: Urinary arsenic metabolites (UAs) are used as biomarkers of exposure and metabolism. Ojectives: To characterize inter- and intraindividual variability in UAs in healthy individuals. Methods: In a longitudinal study conducted in Bangladesh, we collected water and spot urine samples from 196 participants every 3 months for 2 years. Water arsenic (As) was measured by inductively coupled plasma-mass spectrometry and urinary As [arsenite, arsenate, monomethylarsonic acid (MMA), and dimethylarsinic acid (DMA)] were detected using high-performance liquid chromatography-hydride-generated atomic absorption spectrometry. We used linear mixed-effects models to compute variance components and evaluate the association between UAs and selected factors. Results: The concentrations of UAs were fairly reproducible within individuals, with intraclass correlation coefficients (ICCs) of 0.41, 0.35, 0.47, and 0.49 for inorganic As (InAs), MMA, DMA, and total urinary As (TUA). However, when expressed as a ratio, the percent InAs (%InAs), %MMA, and %DMA were poorly reproducible within individuals, with ICCs of 0.16, 0.16, and 0.17, respectively. Arsenic metabolism was significantly associated with sex, exposure, age, smoking, chewing betel nut, urinary creatinine, and season. Specificity and sensitivity analyses showed that a single urine sample adequately classified a participant's urinary As profile as high or low, but TUA had only moderate specificity for correctly classifying drinking water exposures. Conclusions: Epidemiologic studies should use both urinary As concentrations and the relative proportion of UAs to minimize measurement error and to facilitate interpretation of factors that influence As metabolism.	en_US
dc.relation.ispartof	Environmental Health Perspectives	en_US
dc.relation.isbasedon	10.1289/ehp.11251	en_US
dc.subject.classification	Toxicology	en_US
dc.subject.mesh	Humans	en_US
dc.subject.mesh	Arsenicals	en_US
dc.subject.mesh	Arsenic	en_US
dc.subject.mesh	Chromatography, High Pressure Liquid	en_US
dc.subject.mesh	Models, Statistical	en_US
dc.subject.mesh	Fresh Water	en_US
dc.subject.mesh	Environmental Exposure	en_US
dc.subject.mesh	Bangladesh	en_US
dc.subject.mesh	Mass Spectrometry	en_US
dc.subject.mesh	Biomarkers	en_US
dc.title	Variability in biomarkers of arsenic exposure and metabolism in adults over time	en_US
dc.type	Journal Article
utslib.citation.volume	3	en_US
utslib.citation.volume	117	en_US
utslib.for	010402 Biostatistics	en_US
utslib.for	05 Environmental Sciences	en_US
utslib.for	11 Medical and Health Sciences	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Science
pubs.organisational-group	/University of Technology Sydney/Faculty of Science/School of Mathematical and Physical Sciences
utslib.copyright.status	closed_access
pubs.issue	3	en_US
pubs.publication-status	Published	en_US
pubs.volume	117	en_US

Abstract:

Background: Urinary arsenic metabolites (UAs) are used as biomarkers of exposure and metabolism. Ojectives: To characterize inter- and intraindividual variability in UAs in healthy individuals. Methods: In a longitudinal study conducted in Bangladesh, we collected water and spot urine samples from 196 participants every 3 months for 2 years. Water arsenic (As) was measured by inductively coupled plasma-mass spectrometry and urinary As [arsenite, arsenate, monomethylarsonic acid (MMA), and dimethylarsinic acid (DMA)] were detected using high-performance liquid chromatography-hydride-generated atomic absorption spectrometry. We used linear mixed-effects models to compute variance components and evaluate the association between UAs and selected factors. Results: The concentrations of UAs were fairly reproducible within individuals, with intraclass correlation coefficients (ICCs) of 0.41, 0.35, 0.47, and 0.49 for inorganic As (InAs), MMA, DMA, and total urinary As (TUA). However, when expressed as a ratio, the percent InAs (%InAs), %MMA, and %DMA were poorly reproducible within individuals, with ICCs of 0.16, 0.16, and 0.17, respectively. Arsenic metabolism was significantly associated with sex, exposure, age, smoking, chewing betel nut, urinary creatinine, and season. Specificity and sensitivity analyses showed that a single urine sample adequately classified a participant's urinary As profile as high or low, but TUA had only moderate specificity for correctly classifying drinking water exposures. Conclusions: Epidemiologic studies should use both urinary As concentrations and the relative proportion of UAs to minimize measurement error and to facilitate interpretation of factors that influence As metabolism.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/26047