Literature DB >> 16009653

Physiologically based modeling of the accumulation in plasma and tissue lipids of a mixture of PCB congeners in female Sprague-Dawley rats.

Claude Emond1, Michel Charbonneau, Kannan Krishnan.   

Abstract

This study aimed to develop a physiologically based model for simulating the concentrations of polychlorinated biphenyls (PCBs) in tissue and plasma lipids of rats exposed to PCB mixtures. The model was based on the assumption that the neutral lipid fraction is the only critical determinant of the tissue distribution of PCBs, and that the solubility/retention in other tissue components is negligible. The volumes of the model compartments reflected the volumes of neutral lipids, whereas the flow rates corresponded to those of the neutral lipids in blood. Since the equilibrium ratio of PCB concentrations in neutral lipids of tissues and plasma equals 1, the present modeling approach does not require the use of tissue:blood partition coefficients. Metabolism rates were derived from the best visual fit of the model to the PCB concentrations in hepatic lipids determined on d 41 and 90 in rats exposed to a mixture containing 5, 50, or 500 microg PCBs (118, 138, 153, 170, 180 and 187) per kilogram body weight according to various protocols: (a) every-day dosing, (b) once-a-week dosing, (c) consecutive dosing for 13 d with no further treatment, and (d) 13 irregularly spaced doses. The resulting model consistently simulated the concentrations of PCBs in adipose tissue and plasma lipids of rats exposed according to the four described protocols. The physiologically based pharmacokinetic (PBPK) model developed in this study should be useful as a basis for interpretating blood or plasma lipid concentration data on PCBs collected during biomonitoring studies.

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Year:  2005        PMID: 16009653     DOI: 10.1080/15287390590956551

Source DB:  PubMed          Journal:  J Toxicol Environ Health A        ISSN: 0098-4108


  7 in total

1.  Proposed mechanistic description of dose-dependent BDE-47 urinary elimination in mice using a physiologically based pharmacokinetic model.

Authors:  Claude Emond; J Michael Sanders; Daniele Wikoff; Linda S Birnbaum
Journal:  Toxicol Appl Pharmacol       Date:  2013-09-19       Impact factor: 4.219

2.  Perinatal exposure to a noncoplanar polychlorinated biphenyl alters tonotopy, receptive fields, and plasticity in rat primary auditory cortex.

Authors:  T Kenet; R C Froemke; C E Schreiner; I N Pessah; M M Merzenich
Journal:  Proc Natl Acad Sci U S A       Date:  2007-04-25       Impact factor: 11.205

3.  Polychlorinated biphenyl (PCB) exposure and diabetes: results from the Anniston Community Health Survey.

Authors:  Allen E Silverstone; Paula F Rosenbaum; Ruth S Weinstock; Scott M Bartell; Herman R Foushee; Christie Shelton; Marian Pavuk
Journal:  Environ Health Perspect       Date:  2012-02-14       Impact factor: 9.031

4.  Bayesian Analysis of a Lipid-Based Physiologically Based Toxicokinetic Model for a Mixture of PCBs in Rats.

Authors:  Alan F Sasso; Panos G Georgopoulos; Sastry S Isukapalli; Kannan Krishnan
Journal:  J Toxicol       Date:  2012-01-19

5.  Quantitative relationship between the octanol/water partition coefficient and the diffusion limitation of the exchange between adipose and blood.

Authors:  David G Levitt
Journal:  BMC Clin Pharmacol       Date:  2010-01-07

6.  Toxicokinetic modeling of persistent organic pollutant levels in blood from birth to 45 months of age in longitudinal birth cohort studies.

Authors:  Marc-André Verner; Dean Sonneborn; Kinga Lancz; Gina Muckle; Pierre Ayotte; Éric Dewailly; Anton Kocan; Lubica Palkovicová; Tomas Trnovec; Sami Haddad; Irva Hertz-Picciotto; Merete Eggesbø
Journal:  Environ Health Perspect       Date:  2012-10-17       Impact factor: 9.031

7.  Physiologically based pharmacokinetic modeling of persistent organic pollutants for lifetime exposure assessment: a new tool in breast cancer epidemiologic studies.

Authors:  Marc-André Verner; Michel Charbonneau; Lizbeth López-Carrillo; Sami Haddad
Journal:  Environ Health Perspect       Date:  2008-07       Impact factor: 9.031

  7 in total

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