Literature DB >> 21878987

Urinary arsenic species, toenail arsenic, and arsenic intake estimates in a Michigan population with low levels of arsenic in drinking water.

Zorimar Rivera-Núñez1, Jaymie R Meliker, John D Meeker, Melissa J Slotnick, Jerome O Nriagu.   

Abstract

The large disparity between arsenic concentrations in drinking water and urine remains unexplained. This study aims to evaluate predictors of urinary arsenic in a population exposed to low concentrations (≤50 μg/l) of arsenic in drinking water. Urine and drinking water samples were collected from a subsample (n=343) of a population enrolled in a bladder cancer case-control study in southeastern Michigan. Total arsenic in water and arsenic species in urine were determined using ICP-MS: arsenobetaine (AsB), arsenite (As[III]), arsenate (As[V]), methylarsenic acid (MMA[V]), and dimethylarsenic acid (DMA[V]). The sum of As[III], As[V], MMA[V], and DMA[V] was denoted as SumAs. Dietary information was obtained through a self-reported food intake questionnaire. Log(10)-transformed drinking water arsenic concentration at home was a significant (P<0.0001) predictor of SumAs (R(2)=0.18). Associations improved (R(2)=0.29, P<0.0001) when individuals with less than 1 μg/l of arsenic in drinking water were removed and further improved when analyses were applied to individuals who consumed amounts of home drinking water above the median volume (R(2)=0.40, P<0.0001). A separate analysis indicated that AsB and DMA[V] were significantly correlated with fish and shellfish consumption, which may suggest that seafood intake influences DMA[V] excretion. The Spearman correlation between arsenic concentration in toenails and SumAs was 0.36 and between arsenic concentration in toenails and arsenic concentration in water was 0.42. Results show that arsenic exposure from drinking water consumption is an important determinant of urinary arsenic concentrations, even in a population exposed to relatively low levels of arsenic in drinking water, and suggest that seafood intake may influence urinary DMA[V] concentrations.

Entities:  

Mesh:

Substances:

Year:  2011        PMID: 21878987     DOI: 10.1038/jes.2011.27

Source DB:  PubMed          Journal:  J Expo Sci Environ Epidemiol        ISSN: 1559-0631            Impact factor:   5.563


  19 in total

1.  Urine and toenail cadmium levels in pregnant women: A reliability study.

Authors:  Alexandra J White; Katie M O'Brien; Brian P Jackson; Margaret R Karagas
Journal:  Environ Int       Date:  2018-05-29       Impact factor: 9.621

2.  Arsenic exposure and cancer mortality in a US-based prospective cohort: the strong heart study.

Authors:  Esther García-Esquinas; Marina Pollán; Jason G Umans; Kevin A Francesconi; Walter Goessler; Eliseo Guallar; Barbara Howard; John Farley; Lyle G Best; Ana Navas-Acien
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2013-10-17       Impact factor: 4.254

3.  Occurrence of trivalent monomethyl arsenic and other urinary arsenic species in a highly exposed juvenile population in Bangladesh.

Authors:  David A Kalman; Russell L Dills; Craig Steinmaus; Md Yunus; Al Fazal Khan; Md Mofijuddin Prodhan; Yan Yuan; Allan H Smith
Journal:  J Expo Sci Environ Epidemiol       Date:  2013-04-03       Impact factor: 5.563

4.  Portable X-ray Fluorescence as a Rapid Determination Tool to Detect Parts per Million Levels of Ni, Zn, As, Se, and Pb in Human Toenails: A South India Case Study.

Authors:  Mayuri Bhatia; Aaron J Specht; Vallabhuni Ramya; Dahy Sulaiman; Manasa Konda; Prentiss Balcom; Elsie M Sunderland; Asif Qureshi
Journal:  Environ Sci Technol       Date:  2021-09-16       Impact factor: 11.357

5.  Measured versus modeled dietary arsenic and relation to urinary arsenic excretion and total exposure.

Authors:  Margaret Kurzius-Spencer; Mary K O'Rourke; Chiu-Hsieh Hsu; Vern Hartz; Robin B Harris; Jefferey L Burgess
Journal:  J Expo Sci Environ Epidemiol       Date:  2013-01-16       Impact factor: 5.563

6.  Biomarkers of arsenic exposure and effects in a Canadian rural population exposed through groundwater consumption.

Authors:  Louise Normandin; Pierre Ayotte; Patrick Levallois; Yves Ibanez; Marilène Courteau; Greg Kennedy; Lydia Chen; X Chris Le; Michèle Bouchard
Journal:  J Expo Sci Environ Epidemiol       Date:  2013-11-06       Impact factor: 5.563

7.  Arsenic exposure and incidence of type 2 diabetes in Southwestern American Indians.

Authors:  Nan Hee Kim; Clinton C Mason; Robert G Nelson; Scott E Afton; Amal S Essader; James E Medlin; Keith E Levine; Jane A Hoppin; Cynthia Lin; William C Knowler; Dale P Sandler
Journal:  Am J Epidemiol       Date:  2013-03-15       Impact factor: 4.897

8.  Assessing arsenic exposure in households using bottled water or point-of-use treatment systems to mitigate well water contamination.

Authors:  Andrew E Smith; Rebecca A Lincoln; Chris Paulu; Thomas L Simones; Kathleen L Caldwell; Robert L Jones; Lorraine C Backer
Journal:  Sci Total Environ       Date:  2015-12-10       Impact factor: 7.963

9.  Relation between in utero arsenic exposure and growth during the first year of life in a New Hampshire pregnancy cohort.

Authors:  Meghan E Muse; Zhigang Li; Emily R Baker; Kathryn L Cottingham; Susan A Korrick; Margaret R Karagas; Diane Gilbert-Diamond
Journal:  Environ Res       Date:  2019-07-22       Impact factor: 6.498

Review 10.  Toenails as a biomarker of exposure to arsenic: A review.

Authors:  Antonio J Signes-Pastor; Enrique Gutiérrez-González; Miguel García-Villarino; Francisco D Rodríguez-Cabrera; Jorge J López-Moreno; Elena Varea-Jiménez; Roberto Pastor-Barriuso; Marina Pollán; Ana Navas-Acien; Beatriz Pérez-Gómez; Margaret R Karagas
Journal:  Environ Res       Date:  2020-10-16       Impact factor: 6.498

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.