Population toxicokinetics of benzene.
Author(s) -
Frédéric Y. Bois,
E T Jackson,
Kaija Pekari,
Martyn T. Smith
Publication year - 1996
Publication title -
environmental health perspectives
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.257
H-Index - 282
eISSN - 1552-9924
pISSN - 0091-6765
DOI - 10.1289/ehp.961041405
Subject(s) - toxicokinetics , confidence interval , population , statistical inference , bayesian probability , inhalation exposure , benzene , distribution (mathematics) , bayesian inference , inference , statistics , pharmacokinetics , toxicology , econometrics , chemistry , computer science , mathematics , biology , toxicity , medicine , pharmacology , environmental health , mathematical analysis , organic chemistry , artificial intelligence
In assessing the distribution and metabolism of toxic compounds in the body, measurements are not always feasible for ethical or technical reasons. Computer modeling offers a reasonable alternative, but the variability and complexity of biological systems pose unique challenges in model building and adjustment. Recent tools from population pharmacokinetics, Bayesian statistical inference, and physiological modeling can be brought together to solve these problems. As an example, we modeled the distribution and metabolism of benzene in humans. We derive statistical distributions for the parameters of a physiological model of benzene, on the basis of existing data. The model adequately fits both prior physiological information and experimental data. An estimate of the relationship between benzene exposure (up to 10 ppm) and fraction metabolized in the bone marrow is obtained and is shown to be linear for the subjects studied. Our median population estimate for the fraction of benzene metabolized, independent of exposure levels, is 52% (90% confidence interval, 47-67%). At levels approaching occupational inhalation exposure (continuous 1 ppm exposure), the estimated quantity metabolized in the bone marrow ranges from 2 to 40 mg/day.
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