Literature DB >> 3603553

Quantitative evaluation of the metabolic interactions between trichloroethylene and 1,1-dichloroethylene in vivo using gas uptake methods.

M E Andersen, M L Gargas, H J Clewell, K M Severyn.   

Abstract

Gas uptake simulation methods were used to determine kinetic constants for trichloroethylene (TCE) and 1,1-dichloroethylene (1,1-DCE) metabolism in vivo in male Fischer 344 rats. Both are metabolized by single, saturable, oxidative pathways with high-affinity substrate binding. The allometrically scaled maximum velocities (Vmaxc) for TCE and 1,1-DCE were, respectively, 11 and 7.5 mg/hr (i.e., 84 and 77 mumol/hr). Gas uptake studies were also conducted with three mixed atmosphere exposures with the following initial concentrations in parts per million: 500 (1,1-DCE):2000 (TCE); 500 (1,1-DCE):500 (TCE); and 2000 (1,1-DCE):500 (TCE). Mixture uptake curves were described by a system of equations in which a full physiologically based pharmacokinetic (PB-PK) model was provided for each chemical and each was regarded as an inhibitor of the other's metabolism. A generic model was developed to accommodate multiple mechanisms of inhibitory interactions, i.e., competitive, noncompetitive, or uncompetitive. An excellent correspondence was obtained between predicted and observed behavior when the inhibition was assumed to be purely competitive with binding constants for TCE and 1,1-DCE set to 0.25 and 0.10 mg/liter, respectively; i.e., in vivo 1,1-DCE is a slightly better substrate for microsomal oxidation than is TCE. The PB-PK model which was successful in describing the mixture data was used to predict conditions under which 1,1-DCE hepatotoxicity would be expected in coexposure to constant concentration atmospheres of these two chloroethylenes. These predictions were compared with data on the increases in plasma liver enzymes resulting from exposures to either 1,1-DCE alone or to 1,1-DCE in combination with TCE.

Entities:  

Mesh:

Substances:

Year:  1987        PMID: 3603553     DOI: 10.1016/0041-008x(87)90035-4

Source DB:  PubMed          Journal:  Toxicol Appl Pharmacol        ISSN: 0041-008X            Impact factor:   4.219


  14 in total

1.  Global optimization of the Michaelis-Menten parameters using physiologically-based pharmacokinetic (PBPK) modeling and chloroform vapor uptake data in F344 rats.

Authors:  Marina V Evans; Christopher R Eklund; David N Williams; Yusupha M Sey; Jane Ellen Simmons
Journal:  Inhal Toxicol       Date:  2020-04-02       Impact factor: 2.724

2.  Visualization-based analysis for a mixed-inhibition binary PBPK model: determination of inhibition mechanism.

Authors:  Kristin K Isaacs; Marina V Evans; Thomas R Harris
Journal:  J Pharmacokinet Pharmacodyn       Date:  2004-06       Impact factor: 2.745

3.  A descriptive and mechanistic study of the interaction between toluene and xylene in humans.

Authors:  R Tardif; S Laparé; K Krishnan; J Brodeur
Journal:  Int Arch Occup Environ Health       Date:  1993       Impact factor: 3.015

4.  Exploration of an interaction threshold for the joint toxicity of trichloroethylene and 1,1-dichloroethylene: utilization of a PBPK model.

Authors:  H A el-Masri; J D Tessari; R S Yang
Journal:  Arch Toxicol       Date:  1996       Impact factor: 5.153

5.  Effect of various exposure scenarios on the biological monitoring of organic solvents in alveolar air. II. 1,1,1-Trichloroethane and trichloroethylene.

Authors:  S Laparé; R Tardif; J Brodeur
Journal:  Int Arch Occup Environ Health       Date:  1995       Impact factor: 3.015

Review 6.  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

Review 7.  Physiological modeling and extrapolation of pharmacokinetic interactions from binary to more complex chemical mixtures.

Authors:  Kannan Krishnan; Sami Haddad; Martin Béliveau; Robert Tardif
Journal:  Environ Health Perspect       Date:  2002-12       Impact factor: 9.031

8.  In silico toxicology: simulating interaction thresholds for human exposure to mixtures of trichloroethylene, tetrachloroethylene, and 1,1,1-trichloroethane.

Authors:  Ivan D Dobrev; Melvin E Andersen; Raymond S H Yang
Journal:  Environ Health Perspect       Date:  2002-10       Impact factor: 9.031

9.  1,3-Butadiene: linking metabolism, dosimetry, and mutation induction.

Authors:  J A Bond; G A Csanady; M L Gargas; F P Guengerich; T Leavens; M A Medinsky; L Recio
Journal:  Environ Health Perspect       Date:  1994-11       Impact factor: 9.031

10.  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

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.