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Toxicokinetic relationship between the adducts in globin and their cleavage products in the urine: Implications for human biomonitoring
J. Mráz, I. Hanzlíková, M. Brabec
Language English Country Netherlands
Document type Journal Article
- MeSH
- Biomarkers * urine blood MeSH
- Models, Biological MeSH
- Biological Monitoring * MeSH
- Erythrocytes * metabolism drug effects MeSH
- Ethylene Oxide toxicity pharmacokinetics urine MeSH
- Globins metabolism MeSH
- Humans MeSH
- Computer Simulation MeSH
- Occupational Exposure * MeSH
- Toxicokinetics MeSH
- Valine analogs & derivatives pharmacokinetics urine blood MeSH
- Check Tag
- Humans MeSH
- Publication type
- Journal Article MeSH
Globin adducts of various chemicals, persisting in organism over the whole lifetime of erythrocytes, have been used as biomarkers of cumulative exposures to parent compounds. After removal of aged erythrocytes from the bloodstream, cleavage products of these adducts are excreted with urine as alternative, non-invasively accessible biomarkers. In our biomonitoring studies on workers exposed to ethylene oxide, its adduct with globin, N-(2-hydroxyethyl)valine, and the related urinary cleavage product N-(2-hydroxyethyl)-L-valyl-L-leucine have been determined. To describe a toxicokinetic relationship between the above types of biomarkers, a general compartmental model for simulation of formation and removal of globin adducts has been constructed in the form of code in R statistical computing environment. The essential input variables include lifetime of erythrocytes, extent of adduct formation following a single defined exposure, and parameters of exposure scenario, while other possible variables are optional. It was shown that both biomarkers reflect the past exposures differently as the adduct level in globin is a mean value of adduct levels across all compartments (subpopulations of erythrocytes of the same age) while excretion of cleavage products reflects the adduct level in the oldest compartment. Application of the model to various scenarios of continuous exposure demonstrated its usefulness for human biomonitoring data interpretation.
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