Human retention studies with 74As

Pomroy, C.; Charbonneau, S.M.; McCullough, Roger S.; Tam, G.K.H.

doi:10.1016/0041-008x(80)90368-3

Cited by 157 publications

(76 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Gastrointestinal absorption of antimony (5-20%) is far lower than of arsenic (60-80%) (28,54,55,(58)(59)(60). This could explain why the internal exposures to antimony were not associated with increasing exposure to antimony-contaminated soil.…”

Section: Discussionmentioning

confidence: 92%

“…Freshwater fish seem to h. arsenic contents, as do bottomfee and crustacea (47,48 We, like others (14,17), found that arsenic excretion in urine was slightly associated with age. With respect to the comparatively short biological half-life of arsenic of 30-40 hr (28,29,54,55), it cannot be explained why older people showed higher concentrations of arsenic and antimony in urine and in scalp hair.…”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Human biomonitoring of arsenic and antimony in case of an elevated geogenic exposure.

Gebel

Suchenwirth

Bolten

et al. 1998

Environ Health Perspect

View full text Add to dashboard Cite

Part of the norther Palat e region in Germany is erized by elevated leels of arsenic and antimony in the soil due to the presence ofore sources and former mining activities. In a biomonitoring study, 218 residents were investigted for a putative increased intake of these elements. Seventy-six nonexposd subjects in a rur region in south lower Saxony were chosen as the rrece group. Urine and scalp hair sampes were obtained as su to dein he miteral exposures to arsenic and antimony. The analys were pefr*m ed using graphite furace atomic absorption spectrometry except for arsenic in urine, which was determined by the hydride tecnique. This method does not detect organo ls from sefood, which are not toxicologicaly relevant In the northem Palatinate subjects, sdighy elevated arsenic contents in urine and scalp hair (presumably not hazardous) could be corrldated with an increased arenic content in the soil. On the other hand, the results did not show a correation between the am contents in tie soil ofthe housing area and those in urine and hair. Except for an y in sp hair, age tended to be associatd wi intenal exposure to arsenic and antimony in both study groups. Consumpion of seafood had a slight impact on the levd ofuinary arsenic, which is indi of dte presence oflow quanities of inoranic arsenicas and dimethasinic acid in sefood. Th.e arsenic and antimony contents in scalp hair were positively correated with the 24-hr arsenic io in urine. However, antimony in scalp hair was not correlated with seafood consmptio as was asenic in slp hair and in urine. (19). The purpose of the present study was to investigate the transfer of arsenic and antimony from the environment to humans in the northern Palatinate region. Unlike the studies on arsenic previously described in which the main sources of exposure were arsenic-contaminated drinking water and industrial emissions, this study focuses on soil contaminated with arsenic and antimony as the main source of exposure.Because humans excrete arsenic and antimony mainly via the kidneys (28-30), urinary concentrations were used as valid biomarkers of exposure. Biomonitoring of scalp hair was performed as additional screening to record cumulative exposures. MethodsStudy design and study population. This study was preceded by a project that sought to determine the contents of arsenic and antimony in soil and in plant and animal samples from the northern Palatinate region of Germany. Residents for whom the soil contents of arsenic and antimony in their housing areas were known (one to three soil samples per individual) were asked to participate in the study. To minimize a selection bias, a maximum participation rate was achieved by convincing those residents who did not reply to our first written request to participate. Nonexposed subjects from a rural area in south lower Saxony (Germany) were chosen as the reference group.A six-page questionnaire served to assess factors of interest and confounding variables. All study subjects were interviewed concerning demographic characteristi...

show abstract

Section: Discussionmentioning

confidence: 92%

Section: Discussionmentioning

confidence: 99%

Human biomonitoring of arsenic and antimony in case of an elevated geogenic exposure.

Gebel

Suchenwirth

Bolten

et al. 1998

Environ Health Perspect

View full text Add to dashboard Cite

show abstract

“…However, the approach of Yu has been evaluated with experimental observations from the literature for urinary biomarker levels of speciated arsenic (see e.g., Pomroy et al, 1980;Buchet et al, 1981;and Johnson and Farmer, 1991). The model employed in the present study is in fact a simplified flowlimited version of an "in-progress" arsenic model, which combines both "flow-limited" and "diffusion-limited" (as per the work of Mann et al (1996)) components and also incorporates developments presented in the work of El-Masri and Kenyon (2007).…”

Section: Physiologically Based Pharmacokinetic Modeling For Arsenicmentioning

confidence: 99%

Biologically based modeling of multimedia, multipathway, multiroute population exposures to arsenic

Georgopoulos

Wang

et al. 2007

J Expo Sci Environ Epidemiol

View full text Add to dashboard Cite

This article presents an integrated, biologically based, source-to-dose assessment framework for modeling multimedia/multipathway/multiroute exposures to arsenic. Case studies demonstrating this framework are presented for three US counties (Hunderton County, NJ; Pima County, AZ; and Franklin County, OH), representing substantially different conditions of exposure. The approach taken utilizes the Modeling ENvironment for TOtal Risk studies (MENTOR) in an implementation that incorporates and extends the approach pioneered by Stochastic Human Exposure and Dose Simulation (SHEDS), in conjunction with a number of available databases, including NATA, NHEXAS, CSFII, and CHAD, and extends modeling techniques that have been developed in recent years. Model results indicate that, in most cases, the food intake pathway is the dominant contributor to total exposure and dose to arsenic. Model predictions are evaluated qualitatively by comparing distributions of predicted total arsenic amounts in urine with those derived using biomarker measurements from the NHEXAS -Region V study: the population distributions of urinary total arsenic levels calculated through MENTOR and from the NHEXAS measurements are in general qualitative agreement. Observed differences are due to various factors, such as interindividual variation in arsenic metabolism in humans, that are not fully accounted for in the current model implementation but can be incorporated in the future, in the open framework of MENTOR. The present study demonstrates that integrated source-to-dose modeling for arsenic can not only provide estimates of the relative contributions of multipathway exposure routes to the total exposure estimates, but can also estimate internal target tissue doses for speciated organic and inorganic arsenic, which can eventually be used to improve evaluation of health risks associated with exposures to arsenic from multiple sources, routes, and pathways.

show abstract

“…Forty-five percent to 85% of ingested As are excreted in urine within 1 to 3 days of exposure, making urinary As concentrations a useful biomarker of recent exposure but a poor measure of historical exposures (13)(14)(15). However, As has a high affinity for sulfhydryl groups resulting in its accumulation in keratin-rich tissues, such as hair, skin, fingernails, and toenails (16)(17)(18).…”

Section: Introductionmentioning

confidence: 99%

Toenail Arsenic Concentrations, GSTT1 Gene Polymorphisms, and Arsenic Exposure from Drinking Water

Kile¹,

Houseman²,

Rodrigues

et al. 2005

Cancer Epidemiology, Biomarkers &Amp; Prevention

View full text Add to dashboard Cite

Toenail arsenic (As) concentrations were evaluated as a biomarker of inorganic As (As in ) exposure in a population residing in an As-endemic region of Bangladesh. Drinking water and toenail samples were collected from 48 families (n = 223) every 3 months for 2 years and analyzed for As using inductively coupled plasma-mass spectrometry. Drinking water collected 3, 6, and 9 months before each toenail sample collection was combined into a weighted lagged exposure variable. The contribution of each water sample to the measured toenail As concentration was estimated using maximum likelihood that accounted for fluctuations in drinking water exposure and toenail growth. The best model attributed 69%, 14%, and 17% of the toenail As content to drinking water exposures that occurred 3, 6, and 9 months before toenail collection [95% confidence intervals (95% CI), 0.46-0.97, 0.00-0.31, and 0.03-0.35, respectively]. Generalized additive mixed models using penalized regression splines were employed to model the data. Below a drinking water concentration of 2 Mg As/L, no relationship between drinking water As and toenail As concentrations was observed. Above this concentration, toenail As content increased in a dosedependent fashion as drinking water As increased. Age was a significant effect modifier of drinking water As exposure on toenail As (b = 0.01; 95% CI, 0.002-0.02). Individuals possessing GSTT1-null genotypes had significantly more As in their toenails in contrast to GSTT1 wild-type individuals (b = 0.11; 95% CI, 0.06-0.2). Therefore, it seems that GSTT1 modifies the relationship between As in exposure and toenail As in content.

show abstract

Human retention studies with 74As

Cited by 157 publications

References 8 publications

Human biomonitoring of arsenic and antimony in case of an elevated geogenic exposure.

Human biomonitoring of arsenic and antimony in case of an elevated geogenic exposure.

Biologically based modeling of multimedia, multipathway, multiroute population exposures to arsenic

Toenail Arsenic Concentrations, GSTT1 Gene Polymorphisms, and Arsenic Exposure from Drinking Water

Contact Info

Product

Resources

About