Literature DB >> 12928975

Characterization of the pharmacokinetics of gasoline using PBPK modeling with a complex mixtures chemical lumping approach.

James E Dennison1, Melvin E Andersen, Raymond S H Yang.   

Abstract

Gasoline consists of a few toxicologically significant components and a large number of other hydrocarbons in a complex mixture. By using an integrated, physiologically based pharmacokinetic (PBPK) modeling and lumping approach, we have developed a method for characterizing the pharmacokinetics (PKs) of gasoline in rats. The PBPK model tracks selected target components (benzene, toluene, ethylbenzene, o-xylene [BTEX], and n-hexane) and a lumped chemical group representing all nontarget components, with competitive metabolic inhibition between all target compounds and the lumped chemical. PK data was acquired by performing gas uptake PK studies with male F344 rats in a closed chamber. Chamber air samples were analyzed every 10-20 min by gas chromatography/flame ionization detection and all nontarget chemicals were co-integrated. A four-compartment PBPK model with metabolic interactions was constructed using the BTEX, n-hexane, and lumped chemical data. Target chemical kinetic parameters were refined by studies with either the single chemical alone or with all five chemicals together. o-Xylene, at high concentrations, decreased alveolar ventilation, consistent with respiratory irritation. A six-chemical interaction model with the lumped chemical group was used to estimate lumped chemical partitioning and metabolic parameters for a winter blend of gasoline with methyl t-butyl ether and a summer blend without any oxygenate. Computer simulation results from this model matched well with experimental data from single chemical, five-chemical mixture, and the two blends of gasoline. The PBPK model analysis indicated that metabolism of individual components was inhibited up to 27% during the 6-h gas uptake experiments of gasoline exposures.

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Year:  2003        PMID: 12928975     DOI: 10.1080/08958370390215749

Source DB:  PubMed          Journal:  Inhal Toxicol        ISSN: 0895-8378            Impact factor:   2.724


  7 in total

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Journal:  J Pharmacokinet Pharmacodyn       Date:  2005-12       Impact factor: 2.745

Review 2.  Evaluating pharmacokinetic and pharmacodynamic interactions with computational models in supporting cumulative risk assessment.

Authors:  Yu-Mei Tan; Harvey Clewell; Jerry Campbell; Melvin Andersen
Journal:  Int J Environ Res Public Health       Date:  2011-05-19       Impact factor: 3.390

3.  A mechanistic modeling framework for predicting metabolic interactions in complex mixtures.

Authors:  Shu Cheng; Frederic Y Bois
Journal:  Environ Health Perspect       Date:  2011-08-11       Impact factor: 9.031

4.  Quantitative Property-Property Relationship for Screening-Level Prediction of Intrinsic Clearance of Volatile Organic Chemicals in Rats and Its Integration within PBPK Models to Predict Inhalation Pharmacokinetics in Humans.

Authors:  Thomas Peyret; Kannan Krishnan
Journal:  J Toxicol       Date:  2012-05-22

Review 5.  Principles of dose-setting in toxicology studies: the importance of kinetics for ensuring human safety.

Authors:  C J Borgert; C Fuentes; L D Burgoon
Journal:  Arch Toxicol       Date:  2021-10-08       Impact factor: 5.153

6.  Competitive Metabolism of Polycyclic Aromatic Hydrocarbons (PAHs): An Assessment Using In Vitro Metabolism and Physiologically Based Pharmacokinetic (PBPK) Modeling.

Authors:  Jordan N Smith; Kari A Gaither; Paritosh Pande
Journal:  Int J Environ Res Public Health       Date:  2022-07-06       Impact factor: 4.614

7.  A phased approach for assessing combined effects from multiple stressors.

Authors:  Charles A Menzie; Margaret M MacDonell; Moiz Mumtaz
Journal:  Environ Health Perspect       Date:  2007-01-24       Impact factor: 9.031

  7 in total

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