Literature DB >> 7698076

Physiologically based pharmacokinetic analyses of simple mixtures.

K Krishnan1, H J Clewell, M E Andersen.   

Abstract

Exposure to multiple chemicals may cause significant alterations of tissue dose of the toxic moiety of one or more of the individual chemicals. The change in target tissue dose of a chemical present in simple mixtures can be predicted when the determinants of disposition of each chemical, and the mechanism of toxicokinetic interaction between chemicals are understood at a quantitative level. Determinants of disposition include physiological (e.g., breathing rates, cardiac output, tissue volumes, blood flow rates), biochemical (e.g., kinetic constants for metabolism and protein binding), and physicochemical factors (e.g., blood air and tissue blood partition coefficients). Mechanisms of toxicokinetic interactions refer to the manner in which coexposure alters these determinants of disposition as compared to exposure to the individual chemicals. Interactions between chemicals can be described quantitatively with physiologically based pharmacokinetic (PBPK) models, which integrate these mechanic determinants and permit prediction of alterations in tissue dose for various exposure situations by computer simulation. PBPK modeling studies of binary chemical interactions conducted so far indicate that inhibitory rather than potentiating metabolic interactions are more likely to be observed during multiple chemical exposures. As PBPK models of representative binary, tertiary and quaternary mixtures are developed, it will become increasingly possible to draw reliable conclusions about the risk associated with human exposure to chemical mixtures.

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Year:  1994        PMID: 7698076      PMCID: PMC1566777          DOI: 10.1289/ehp.94102s9151

Source DB:  PubMed          Journal:  Environ Health Perspect        ISSN: 0091-6765            Impact factor:   9.031


  16 in total

Review 1.  Development and utilization of physiologically based pharmacokinetic models for toxicological applications.

Authors:  H W Leung
Journal:  J Toxicol Environ Health       Date:  1991-03

2.  Physiological modelling of organic compounds.

Authors:  M E Andersen
Journal:  Ann Occup Hyg       Date:  1991-06

3.  A physiologically based description of the inhalation pharmacokinetics of styrene in rats and humans.

Authors:  J C Ramsey; M E Andersen
Journal:  Toxicol Appl Pharmacol       Date:  1984-03-30       Impact factor: 4.219

4.  Dose-dependent uptake, distribution, and elimination of inhaled n-hexane in the Fischer-344 rat.

Authors:  T S Baker; D E Rickert
Journal:  Toxicol Appl Pharmacol       Date:  1981-12       Impact factor: 4.219

5.  Dose-dependent metabolic interaction between benzene and toluene in vivo and in vitro.

Authors:  A Sato; T Nakajima
Journal:  Toxicol Appl Pharmacol       Date:  1979-04       Impact factor: 4.219

6.  PB-PK derived metabolic constants, hepatotoxicity, and lethality of BrCCl3 in rats pretreated with chlordecone, phenobarbital, or mirex.

Authors:  K N Thakore; M L Gargas; M E Andersen; H M Mehendale
Journal:  Toxicol Appl Pharmacol       Date:  1991-07       Impact factor: 4.219

7.  Zinc, copper and manganese in the organs of rats after sublethal cyanide intoxication.

Authors:  J R Behari; K Mengel; K D Friedberg
Journal:  Arch Toxicol       Date:  1981-08       Impact factor: 5.153

8.  Coppr deficiency in the rat. Relationship to chronic cyanide poisoning.

Authors:  C H Gallagher; V E Reeve; R Wright
Journal:  Aust J Exp Biol Med Sci       Date:  1976-10

9.  Partition coefficients of some aromatic hydrocarbons and ketones in water, blood and oil.

Authors:  A Sato; T Nakajima
Journal:  Br J Ind Med       Date:  1979-08

10.  Physiologically based modeling of the toxicokinetic interaction between toluene and m-xylene in the rat.

Authors:  R Tardif; S Laparé; K Krishnan; J Brodeur
Journal:  Toxicol Appl Pharmacol       Date:  1993-06       Impact factor: 4.219

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  8 in total

1.  A human PBPK model for ethanol describing inhibition of gastric motility.

Authors:  George D Loizou; Martin Spendiff
Journal:  J Mol Histol       Date:  2004-09       Impact factor: 2.611

2.  Drug-drug interaction predictions with PBPK models and optimal multiresponse sampling time designs: application to midazolam and a phase I compound. Part 1: comparison of uniresponse and multiresponse designs using PopDes.

Authors:  Marylore Chenel; François Bouzom; Leon Aarons; Kayode Ogungbenro
Journal:  J Pharmacokinet Pharmacodyn       Date:  2009-01-07       Impact factor: 2.745

3.  Predictions of metabolic drug-drug interactions using physiologically based modelling: Two cytochrome P450 3A4 substrates coadministered with ketoconazole or verapamil.

Authors:  Nathalie Perdaems; Helene Blasco; Cedric Vinson; Marylore Chenel; Sarah Whalley; Fanny Cazade; François Bouzom
Journal:  Clin Pharmacokinet       Date:  2010-04       Impact factor: 6.447

4.  Exposure to difenoconazole, diclofop-methyl alone and combination alters oxidative stress and biochemical parameters in albino rats.

Authors:  Sherif H Abd-Alrahman; Manal Ea Elhalwagy; Gamila Ahmed Kotb; Hoda Farid; Ahmed Ag Farag; Hossam M Draz; Ahmed M Isa; S Sabico
Journal:  Int J Clin Exp Med       Date:  2014-10-15

Review 5.  Considering the cumulative risk of mixtures of chemicals - a challenge for policy makers.

Authors:  Denis A Sarigiannis; Ute Hansen
Journal:  Environ Health       Date:  2012-06-28       Impact factor: 5.984

6.  Zinc Ameliorate Oxidative Stress and Hormonal Disturbance Induced by Methomyl, Abamectin, and Their Mixture in Male Rats.

Authors:  Sameeh A Mansour; Mostafa A Abbassy; Hassan A Shaldam
Journal:  Toxics       Date:  2017-12-03

7.  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

8.  Toxic interactions among environmental pollutants: corroborating laboratory observations with human experience.

Authors:  K Krishnan; J Brodeur
Journal:  Environ Health Perspect       Date:  1994-11       Impact factor: 9.031

  8 in total

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