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

Molly L. Kile, Elaine Hoffman, Yu Mei Hsueh, Sakila Afroz, Quazi Quamruzzaman, Mahmuder Rahman, Golam Mahiuddin, Louise Ryan, David C. Christiani

Research output: Contribution to journalArticle

59 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)455-460
Number of pages6
JournalEnvironmental Health Perspectives
Volume117
Issue number3
DOIs
Publication statusPublished - 2009

Fingerprint

Arsenic
Biomarkers
Cacodylic Acid
Areca
Urine
Bangladesh
Water
Mastication
Drinking Water
Longitudinal Studies
Epidemiologic Studies
Mass Spectrometry
Creatinine
Spectrum Analysis
Smoking
High Pressure Liquid Chromatography
Sensitivity and Specificity
monomethylarsonic acid

Keywords

  • Arsenic
  • Arsenic metabolism
  • Bangladesh
  • Biomarkers
  • Exposure assessment
  • Intraclass correlation
  • Urinary arsenic metabolites

ASJC Scopus subject areas

  • Health, Toxicology and Mutagenesis
  • Public Health, Environmental and Occupational Health

Cite this

Kile, M. L., Hoffman, E., Hsueh, Y. M., Afroz, S., Quamruzzaman, Q., Rahman, M., ... Christiani, D. C. (2009). Variability in biomarkers of arsenic exposure and metabolism in adults over time. Environmental Health Perspectives, 117(3), 455-460. https://doi.org/10.1289/ehp.11251

Variability in biomarkers of arsenic exposure and metabolism in adults over time. / Kile, Molly L.; Hoffman, Elaine; Hsueh, Yu Mei; Afroz, Sakila; Quamruzzaman, Quazi; Rahman, Mahmuder; Mahiuddin, Golam; Ryan, Louise; Christiani, David C.

In: Environmental Health Perspectives, Vol. 117, No. 3, 2009, p. 455-460.

Research output: Contribution to journalArticle

Kile, ML, Hoffman, E, Hsueh, YM, Afroz, S, Quamruzzaman, Q, Rahman, M, Mahiuddin, G, Ryan, L & Christiani, DC 2009, 'Variability in biomarkers of arsenic exposure and metabolism in adults over time', Environmental Health Perspectives, vol. 117, no. 3, pp. 455-460. https://doi.org/10.1289/ehp.11251
Kile, Molly L. ; Hoffman, Elaine ; Hsueh, Yu Mei ; Afroz, Sakila ; Quamruzzaman, Quazi ; Rahman, Mahmuder ; Mahiuddin, Golam ; Ryan, Louise ; Christiani, David C. / Variability in biomarkers of arsenic exposure and metabolism in adults over time. In: Environmental Health Perspectives. 2009 ; Vol. 117, No. 3. pp. 455-460.
@article{da44794b17664e648b0eb964a2d5c517,
title = "Variability in biomarkers of arsenic exposure and metabolism in adults over time",
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.",
keywords = "Arsenic, Arsenic metabolism, Bangladesh, Biomarkers, Exposure assessment, Intraclass correlation, Urinary arsenic metabolites",
author = "Kile, {Molly L.} and Elaine Hoffman and Hsueh, {Yu Mei} and Sakila Afroz and Quazi Quamruzzaman and Mahmuder Rahman and Golam Mahiuddin and Louise Ryan and Christiani, {David C.}",
year = "2009",
doi = "10.1289/ehp.11251",
language = "English",
volume = "117",
pages = "455--460",
journal = "Environmental Health Perspectives",
issn = "0091-6765",
publisher = "Public Health Services, US Dept of Health and Human Services",
number = "3",

}

TY - JOUR

T1 - Variability in biomarkers of arsenic exposure and metabolism in adults over time

AU - Kile, Molly L.

AU - Hoffman, Elaine

AU - Hsueh, Yu Mei

AU - Afroz, Sakila

AU - Quamruzzaman, Quazi

AU - Rahman, Mahmuder

AU - Mahiuddin, Golam

AU - Ryan, Louise

AU - Christiani, David C.

PY - 2009

Y1 - 2009

N2 - 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.

AB - 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.

KW - Arsenic

KW - Arsenic metabolism

KW - Bangladesh

KW - Biomarkers

KW - Exposure assessment

KW - Intraclass correlation

KW - Urinary arsenic metabolites

UR - http://www.scopus.com/inward/record.url?scp=64049108180&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=64049108180&partnerID=8YFLogxK

U2 - 10.1289/ehp.11251

DO - 10.1289/ehp.11251

M3 - Article

C2 - 19337522

AN - SCOPUS:64049108180

VL - 117

SP - 455

EP - 460

JO - Environmental Health Perspectives

JF - Environmental Health Perspectives

SN - 0091-6765

IS - 3

ER -