Literature DB >> 11471865

Urinary cadmium elimination as a biomarker of exposure for evaluating a cadmium dietary exposure--biokinetics model.

H Choudhury1, T Harvey, W C Thayer, T F Lockwood, W M Stiteler, P E Goodrum, J M Hassett, G L Diamond.   

Abstract

The Cadmium Dietary Exposure Model (CDEM) utilizes national survey data on food cadmium concentrations and food consumption patterns to estimate dietary intakes in the U.S. population. The CDEM has been linked to a modification of the cadmium biokinetic model of Kjellström and Nordlberg (KNM) to derive predictions of kidney and urinary cadmium that reflect U.S. dietary cadmium intake and related variability. Variability in dietary cadmium intake was propagated through the KNM using a Monte Carlo approach. The model predicts a mean peak kidney cadmium burden of approximately 3.5 mg and a 5th-95th percentile range of 2.2-5.1 mg in males. The corresponding peak renal cortex cadmium concentration in males is 15 microg/g wet cortex (10-22, 5th-95th percentile). Predicted kidney cadmium levels in females were higher than males: 5.1 (3.3-7.6) mg total kidney, 29 (19-43) microg/g wet cortex. Predicted urinary cadmium in males and females agreed with empirical estimates based on the NHANES III, with females predicted and observed to excrete approximately twice the amount of cadmium in urine than males. An explanation for the higher urinary cadmium excretion in females is proposed that is consistent with the NHANES III data as well as experimental studies in humans and animals. Females may absorb a larger fraction of ingested dietary cadmium than males, and this difference may be the result of lower iron body stores in females compared to males. This would suggest that females may be at greater risk of developing cadmium toxicity than males. The predicted 5th-95th percentile values for peak kidney cadmium burden are approximately 60% of the peak kidney burden (8-11 mg) predicted for a chronic intake at the U.S. Environmental Protection Agency (EPA) chronic reference dose of 1 microg/kg-d.

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Year:  2001        PMID: 11471865     DOI: 10.1080/15287390152103643

Source DB:  PubMed          Journal:  J Toxicol Environ Health A        ISSN: 0098-4108


  35 in total

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2.  Gender and Racial/Ethnic Disparities: Cumulative Screening of Health Risk Indicators in 20-50 Year Olds in the United States.

Authors:  Alissa Cordner; Adrien A Wilkie; Timothy J Wade; Edward E Hudgens; Rebecca J Birch; Jane E Gallagher
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3.  Does exposure prediction bias health-effect estimation?: The relationship between confounding adjustment and exposure prediction.

Authors:  Matthew Cefalu; Francesca Dominici
Journal:  Epidemiology       Date:  2014-07       Impact factor: 4.822

4.  Cadmium blood and urine concentrations as measures of exposure: NHANES 1999-2010.

Authors:  Scott V Adams; Polly A Newcomb
Journal:  J Expo Sci Environ Epidemiol       Date:  2013-09-04       Impact factor: 5.563

5.  Association between urinary cadmium levels and prediabetes in the NHANES 2005-2010 population.

Authors:  Amisha Wallia; Norrina Bai Allen; Sylvia Badon; Malek El Muayed
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6.  Cigarette smoking, cadmium exposure, and zinc intake on obstructive lung disorder.

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7.  A generalized physiologically-based toxicokinetic modeling system for chemical mixtures containing metals.

Authors:  Alan F Sasso; Sastry S Isukapalli; Panos G Georgopoulos
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8.  Protective effect of naringenin on hepatic and renal dysfunction and oxidative stress in arsenic intoxicated rats.

Authors:  Sam Daniel Mershiba; M Velayutham Dassprakash; Sundara Dhakshinamurthy Saraswathy
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9.  Population toxicokinetic modeling of cadmium for health risk assessment.

Authors:  Billy Amzal; Bettina Julin; Marie Vahter; Alicja Wolk; Gunnar Johanson; Agneta Akesson
Journal:  Environ Health Perspect       Date:  2009-05-06       Impact factor: 9.031

10.  Cadmium levels in urine and mortality among U.S. adults.

Authors:  Andy Menke; Paul Muntner; Ellen K Silbergeld; Elizabeth A Platz; Eliseo Guallar
Journal:  Environ Health Perspect       Date:  2008-09-03       Impact factor: 9.031

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