Literature DB >> 2792038

Metabolite-based internal doses used in a risk assessment of benzene.

A J Bailer1, D G Hoel.   

Abstract

Risk assessments of benzene have been based upon both human and animal studies. In this paper, metabolite information is used to construct an internal dose (a surrogate of the biologically effective dose) for a given administered dose. The relationship between the administered dose and this internal dose is nonlinear and is well described by a Michaelis-Menten function. The administered doses from the National Toxicology Program's rodent carcinogenicity study of benzene are transformed into internal doses, and these internal doses are used in conjunction with a multistage model to compare previous estimated virtually safe doses (VSD) associated with small added health risks. The ratio of VSD for the administered dose risk assessment to the VSD from the internal dose risk assessment was approximately 1.0 for the F344/N rats and ranged from 2.5 to 5.0 for B6C3F1 mice in the National Toxicology Program study. For an occupational exposure of 1 ppm, a risk estimate of 0.7 excess cancers/1000 exposed with an upper bound of 3.5/1000 was obtained for a total metabolite internal dose risk assessment. Risk estimates based upon internal doses constructed from levels of the toxic metabolites of benzene are also presented. The implication of a dose-rate study of benzene metabolism for risk assessment is discussed, and finally, suggestions for better characterization of the dose-response function for benzene are provided.

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Year:  1989        PMID: 2792038      PMCID: PMC1568114          DOI: 10.1289/ehp.8982177

Source DB:  PubMed          Journal:  Environ Health Perspect        ISSN: 0091-6765            Impact factor:   9.031


  11 in total

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Journal:  Arch Environ Health       Date:  1978 Jan-Feb

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Journal:  J Toxicol Clin Toxicol       Date:  1982-08

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Authors:  P J Gehring; G E Blau
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Authors:  D G Hoel; N L Kaplan; M W Anderson
Journal:  Science       Date:  1983-03-04       Impact factor: 47.728

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Journal:  Am J Epidemiol       Date:  1988-03       Impact factor: 4.897

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Authors:  R A Rinsky; A B Smith; R Hornung; T G Filloon; R J Young; A H Okun; P J Landrigan
Journal:  N Engl J Med       Date:  1987-04-23       Impact factor: 91.245

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Authors:  R A Rinsky; R J Young; A B Smith
Journal:  Am J Ind Med       Date:  1981       Impact factor: 2.214

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Journal:  Toxicol Appl Pharmacol       Date:  1987-02       Impact factor: 4.219

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Authors:  P F Infante; R A Rinsky; J K Wagoner; R J Young
Journal:  Lancet       Date:  1977-07-09       Impact factor: 79.321

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Journal:  Am J Ind Med       Date:  1983       Impact factor: 2.214

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  6 in total

Review 1.  Benzene risk assessments: review and update.

Authors:  A J Bailer; D G Hoel
Journal:  Cell Biol Toxicol       Date:  1989-11       Impact factor: 6.691

Review 2.  Crosstalk between γδ T cells and the microbiota.

Authors:  Pedro H Papotto; Bahtiyar Yilmaz; Bruno Silva-Santos
Journal:  Nat Microbiol       Date:  2021-08-02       Impact factor: 17.745

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Authors:  K H Watanabe; F Y Bois; J M Daisey; D M Auslander; R C Spear
Journal:  Occup Environ Med       Date:  1994-06       Impact factor: 4.402

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Authors:  A Yardley-Jones; D Anderson; D V Parke
Journal:  Br J Ind Med       Date:  1991-07

Review 5.  Strategies for setting occupational exposure limits for particles.

Authors:  H A Greim; K Ziegler-Skylakakis
Journal:  Environ Health Perspect       Date:  1997-09       Impact factor: 9.031

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Authors:  L A Cox
Journal:  Environ Health Perspect       Date:  1996-12       Impact factor: 9.031

  6 in total

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