Literature DB >> 15669773

A physiologically-based pharmacokinetic model of drug detoxification by nanoparticles.

Marissa S Fallon1, Manoj Varshney, Donn M Dennis, Anuj Chauhan.   

Abstract

Nanoparticles (NPs) may be capable of reversing the toxic effects of drug overdoses in humans by adsorbing/absorbing drug molecules. This paper develops a model to include the kinetic effects of treating drug overdoses by NPs. Depending on the size and the nature of the NPs, they may either pass through the capillary walls and enter the tissue space or remain only inside the capillaries and other blood vessels: models are developed for each case. Furthermore, the time scale for equilibration between the NP and the blood will vary with the specific type of NP. The NPs may sequester drug from within the capillaries depending on whether this time scale is larger or smaller than the residence time of blood within the capillary. Models are developed for each scenario. The results suggest that NPs are more effective at detoxification if they are confined to the blood vessels and do not enter the tissues. The results also show that the detoxification process is faster if drug uptake occurs within the capillaries. The trends shown by the model predictions can serve as useful guides in the design of the optimal NP for detoxification.

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Year:  2004        PMID: 15669773      PMCID: PMC3592338          DOI: 10.1007/s10928-004-8322-9

Source DB:  PubMed          Journal:  J Pharmacokinet Pharmacodyn        ISSN: 1567-567X            Impact factor:   2.745


  10 in total

1.  A priori prediction of tissue:plasma partition coefficients of drugs to facilitate the use of physiologically-based pharmacokinetic models in drug discovery.

Authors:  P Poulin; F P Theil
Journal:  J Pharm Sci       Date:  2000-01       Impact factor: 3.534

2.  From piecewise to full physiologic pharmacokinetic modeling: applied to thiopental disposition in the rat.

Authors:  W F Ebling; D R Wada; D R Stanski
Journal:  J Pharmacokinet Biopharm       Date:  1994-08

3.  Computer simulation of the effects of alterations in blood flows and body composition on thiopental pharmacokinetics in humans.

Authors:  D R Wada; S Björkman; W F Ebling; H Harashima; S R Harapat; D R Stanski
Journal:  Anesthesiology       Date:  1997-10       Impact factor: 7.892

4.  Physiologically based pharmacokinetic modeling of benzene metabolism in mice through extrapolation from in vitro to in vivo.

Authors:  C E Cole; H T Tran; P M Schlosser
Journal:  J Toxicol Environ Health A       Date:  2001-03-23

5.  Treatment of Local Anesthetic-Induced Cardiotoxicity Using Drug Scavenging Nanoparticles.

Authors:  Timothy E Morey; Manoj Varshney; Jason A Flint; Surender Rajasekaran; Dinesh O Shah; Donn M Dennis
Journal:  Nano Lett       Date:  2004       Impact factor: 11.189

6.  Development of a physiologically based pharmacokinetic model for methyl ethyl ketone in F344 rats.

Authors:  Karla D Thrall; Jolen J Soelberg; Karl K Weitz; Angela D Woodstock
Journal:  J Toxicol Environ Health A       Date:  2002-07-12

7.  Pluronic microemulsions as nanoreservoirs for extraction of bupivacaine from normal saline.

Authors:  Manoj Varshney; Timothy E Morey; Dinesh O Shah; Jason A Flint; Brij M Moudgil; Christoph N Seubert; Donn M Dennis
Journal:  J Am Chem Soc       Date:  2004-04-28       Impact factor: 15.419

8.  A model for the kinetics of distribution of actinomycin-D in the beagle dog.

Authors:  R J Lutz; W M Galbraith; R L Dedrick; R Shrager; L B Mellett
Journal:  J Pharmacol Exp Ther       Date:  1977-03       Impact factor: 4.030

Review 9.  Physiologically based pharmacokinetic models for trichloroethylene and its oxidative metabolites.

Authors:  J W Fisher
Journal:  Environ Health Perspect       Date:  2000-05       Impact factor: 9.031

Review 10.  Development of a physiologically based pharmacokinetic model of trichloroethylene and its metabolites for use in risk assessment.

Authors:  H J Clewell; P R Gentry; T R Covington; J M Gearhart
Journal:  Environ Health Perspect       Date:  2000-05       Impact factor: 9.031

  10 in total
  2 in total

1.  Toward a general physiologically-based pharmacokinetic model for intravenously injected nanoparticles.

Authors:  Ulrika Carlander; Dingsheng Li; Olivier Jolliet; Claude Emond; Gunnar Johanson
Journal:  Int J Nanomedicine       Date:  2016-02-11

2.  Physiologically based pharmacokinetic modeling of intravenously administered nanoformulated substances.

Authors:  Jordi Minnema; Sven Even F Borgos; Neill Liptrott; Rob Vandebriel; Christiaan Delmaar
Journal:  Drug Deliv Transl Res       Date:  2022-05-12       Impact factor: 5.671

  2 in total

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