Literature DB >> 11068925

Human variability in mercury toxicokinetics and steady state biomarker ratios.

S M Bartell1, R A Ponce, R N Sanga, E M Faustman.   

Abstract

Regulatory guidelines regarding methylmercury exposure depend on dose-response models relating observed mercury concentrations in maternal blood, cord blood, and maternal hair to developmental neurobehavioral endpoints. Generalized estimates of the maternal blood-to-hair, blood-to-intake, or hair-to-intake ratios are necessary for linking exposure to biomarker-based dose-response models. Most assessments have used point estimates for these ratios; however, significant interindividual and interstudy variability has been reported. For example, a maternal ratio of 250 ppm in hair per mg/L in blood is commonly used in models, but a 1990 WHO review reports mean ratios ranging from 140 to 370 ppm per mg/L. To account for interindividual and interstudy variation in applying these ratios to risk and safety assessment, some researchers have proposed representing the ratios with probability distributions and conducting probabilistic assessments. Such assessments would allow regulators to consider the range and like-lihood of mercury exposures in a population, rather than limiting the evaluation to an estimate of the average exposure or a single conservative exposure estimate. However, no consensus exists on the most appropriate distributions for representing these parameters. We discuss published reviews of blood-to-hair and blood-to-intake steady state ratios for mercury and suggest statistical approaches for combining existing datasets to form generalized probability distributions for mercury distribution ratios. Although generalized distributions may not be applicable to all populations, they allow a more informative assessment than point estimates where individual biokinetic information is unavailable. Whereas development and use of these distributions will improve existing exposure and risk models, additional efforts in data generation and model development are required.

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Year:  2000        PMID: 11068925     DOI: 10.1006/enrs.2000.4104

Source DB:  PubMed          Journal:  Environ Res        ISSN: 0013-9351            Impact factor:   6.498


  16 in total

1.  The influence of obesity on blood mercury levels for U.S. non-pregnant adults and children: NHANES 2007-2010.

Authors:  Sarah E Rothenberg; Susan A Korrick; Raja Fayad
Journal:  Environ Res       Date:  2015-02-24       Impact factor: 6.498

2.  Prenatal mercury concentration is associated with changes in DNA methylation at TCEANC2 in newborns.

Authors:  Kelly M Bakulski; HwaJin Lee; Jason I Feinberg; Ellen M Wells; Shannon Brown; Julie B Herbstman; Frank R Witter; Rolf U Halden; Kathleen Caldwell; Mary Ellen Mortensen; Andrew E Jaffe; John Moye; Laura E Caulfield; Yi Pan; Lynn R Goldman; Andrew P Feinberg; M Daniele Fallin
Journal:  Int J Epidemiol       Date:  2015-04-22       Impact factor: 7.196

Review 3.  Biomarkers of mercury toxicity: Past, present, and future trends.

Authors:  Vasco Branco; Sam Caito; Marcelo Farina; João Teixeira da Rocha; Michael Aschner; Cristina Carvalho
Journal:  J Toxicol Environ Health B Crit Rev       Date:  2017-04-05       Impact factor: 6.393

Review 4.  Neurotoxicity of organomercurial compounds.

Authors:  Coral Sanfeliu; Jordi Sebastià; Rosa Cristòfol; Eduard Rodríguez-Farré
Journal:  Neurotox Res       Date:  2003       Impact factor: 3.911

5.  Exposures of dental professionals to elemental mercury and methylmercury.

Authors:  Jaclyn M Goodrich; Hwai-Nan Chou; Stephen E Gruninger; Alfred Franzblau; Niladri Basu
Journal:  J Expo Sci Environ Epidemiol       Date:  2015-09-02       Impact factor: 5.563

6.  Genetic polymorphisms are associated with hair, blood, and urine mercury levels in the American Dental Association (ADA) study participants.

Authors:  Rajendra Prasad Parajuli; Jaclyn M Goodrich; Hwai-Nan Chou; Stephen E Gruninger; Dana C Dolinoy; Alfred Franzblau; Niladri Basu
Journal:  Environ Res       Date:  2015-12-07       Impact factor: 6.498

7.  Association of markers of chronic viral hepatitis and blood mercury levels in US reproductive-age women from NHANES 2001-2008: a cross-sectional study.

Authors:  Mary C Sheehan; Thomas A Burke; Patrick N Breysse; Ana Navas-Acien; John McGready; Mary A Fox
Journal:  Environ Health       Date:  2012-09-12       Impact factor: 5.984

8.  Estimating equations for biomarker based exposure estimation under non-steady-state conditions.

Authors:  Scott M Bartell; Wesley O Johnson
Journal:  Environ Health       Date:  2011-06-13       Impact factor: 5.984

Review 9.  Evaluation of the cardiovascular effects of methylmercury exposures: current evidence supports development of a dose-response function for regulatory benefits analysis.

Authors:  Henry A Roman; Tyra L Walsh; Brent A Coull; Éric Dewailly; Eliseo Guallar; Dale Hattis; Koenraad Mariën; Joel Schwartz; Alan H Stern; Jyrki K Virtanen; Glenn Rice
Journal:  Environ Health Perspect       Date:  2011-01-10       Impact factor: 9.031

10.  Chronologically matched toenail-Hg to hair-Hg ratio: temporal analysis within the Japanese community (U.S.).

Authors:  Thomas Hinners; Ami Tsuchiya; Alan H Stern; Thomas M Burbacher; Elaine M Faustman; Koenraad Mariën
Journal:  Environ Health       Date:  2012-10-31       Impact factor: 5.984

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