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Pharmacokinetic model of dioxin and furan levels in adipose tissue from sawmill work involving chlorophenate fungicides.

https://arctichealth.org/en/permalink/ahliterature210489
Source
Chemosphere. 1996 Dec;33(12):2373-81
Publication Type
Article
Date
Dec-1996
Author
C A Campbell
K. Teschke
J. Bert
P J Quintana
C. Hertzman
Author Affiliation
Occupational Hygiene Program, University of British Columbia, Vancouver, Canada.
Source
Chemosphere. 1996 Dec;33(12):2373-81
Date
Dec-1996
Language
English
Publication Type
Article
Keywords
Adipose Tissue - metabolism
Benzofurans - metabolism - pharmacokinetics
Body Burden
British Columbia
California
Cohort Studies
Dose-Response Relationship, Drug
Fungicides, Industrial - metabolism - pharmacokinetics
Half-Life
Humans
Occupational Exposure
Reference Values
Soil Pollutants - metabolism - pharmacokinetics
Tetrachlorodibenzodioxin - analogs & derivatives - metabolism - pharmacokinetics
Abstract
Sawmill workers in British Columbia (B.C.), Canada, have been exposed to chlorophenate fungicides which are known to be contaminated with polychlorinated dibenzo-p-dioxins (PCDDs) and polychlorinated dibenzofurans (PCDFs). Due to concern about the potential of these workers to have significant body burdens of PCDD/Fs, and the absence of measurements in these workers, a single-compartment pharmacokinetic model was developed to estimate the concentration of PCDD/Fs in the fat tissue of the sawmill workers. Data from a large cohort of B.C. sawmill workers and literature-based data on chlorophenate exposures and PCDD/F concentrations in chlorophenates were used in Monte Carlo simulations to predict a PCDD/F body burden distribution. The median concentrations of HxCDF and HpCDF predicted using the model for the B.C. sawmill worker population exceeded the range measured in unexposed populations. PeCDF and OCDF concentrations exceeded the range measured in unexposed populations at the 70th percentile of the model-predicted distribution, and PeCDD at the 90th percentile. The primary limitation of the model was the scarcity of input data about actual dermal and inhalation exposures to chlorophenates.
PubMed ID
8976054 View in PubMed
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