Literature DB >> 3420611

Physiologically based pharmacokinetic modeling with methylchloroform: implications for interspecies, high dose/low dose, and dose route extrapolations.

R H Reitz1, J N McDougal, M W Himmelstein, R J Nolan, A M Schumann.   

Abstract

A unified physiologically based pharmacokinetic (PB-PK) model was developed and used to describe the disposition of methylchloroform (1,1,1-trichloroethane, MC) in three different species (rats, mice, and humans) after four different routes of exposure (inhalation, intravenous injection, bolus gavage, and drinking water administration). Metabolism of MC followed Michaelis-Menten kinetics in each species. Vmax's were calculated from the allometric equation: Vmax = 0.419 BW0.7, and Km appeared to be identical in each species (5.75 mg equivalents/liter). Once the PB-PK model had been developed for young adult animals (1-3 months of age), it was used to study the disposition of MC in older rats and mice (approximately 18.5 months of age). Most of the changes in the pharmacokinetic behavior of MC in older rats could be simulated by increasing the size of the fat compartment in the PB-PK model from 7 to 18% of body weight. However, the pharmacokinetic behavior in older mice was more complex; increasing the size of the fat compartment in this species from 4 to 18% only accounted for part of the observed differences between old and young animals. An appropriate dose surrogate (average area under the liver concentration/time curve) was selected and the PB-PK model was used to make quantitative comparisons between "internal doses" of MC in long term animal studies and "internal doses" associated with human exposures to MC. Values of the dose surrogate in humans consuming 2 liters/day of water with typical levels of MC contamination (1-10 ppb) were four to six orders of magnitude lower than the dose surrogates in the rodent studies at levels of MC exposure which failed to produce adverse effects on the liver (875-1500 ppm, 6 hr/day, 5 days/week).

Entities:  

Mesh:

Substances:

Year:  1988        PMID: 3420611     DOI: 10.1016/0041-008x(88)90155-x

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


  6 in total

1.  Sensitivity analysis for physiologically based pharmacokinetic models.

Authors:  D M Hetrick; A M Jarabek; C C Travis
Journal:  J Pharmacokinet Biopharm       Date:  1991-02

2.  A physiological and system analysis hybrid pharmacokinetic model to characterize carbon tetrachloride blood concentrations following administration in different oral vehicles.

Authors:  J M Gallo; L L Cheung; H J Kim; J V Bruckner; W R Gillespie
Journal:  J Pharmacokinet Biopharm       Date:  1993-10

3.  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

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

5.  PBPK modeling/Monte Carlo simulation of methylene chloride kinetic changes in mice in relation to age and acute, subchronic, and chronic inhalation exposure.

Authors:  R S Thomas; R S Yang; D G Morgan; M P Moorman; H R Kermani; R A Sloane; R W O'Connor; B Adkins; M L Gargas; M E Andersen
Journal:  Environ Health Perspect       Date:  1996-08       Impact factor: 9.031

6.  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

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.