Literature DB >> 17887175

First-principles, structure-based transdermal transport model to evaluate lipid partition and diffusion coefficients of hydrophobic permeants solely from stratum corneum permeation experiments.

Joseph Kushner1, William Deen, Daniel Blankschtein, Robert Langer.   

Abstract

To account for the effect of branched, parallel transport pathways in the intercellular domain of the stratum corneum (SC) on the passive transdermal transport of hydrophobic permeants, we have developed, from first-principles, a new theoretical model-the Two-Tortuosity Model. This new model requires two tortuosity factors to account for: (1) the effective diffusion path length, and (2) the total volume of the branched, parallel transport pathways present in the SC intercellular domain, both of which may be evaluated from known values of the SC structure. After validating the Two-Tortuosity model with simulated SC diffusion experiments in FEMLAB (a finite element software package), the vehicle-bilayer partition coefficient, K(b), and the lipid bilayer diffusion coefficient, D(b), in untreated human SC were evaluated using this new model for two hydrophobic permeants, naphthol (K(b) = 225 +/- 42, D(b) = 1.7 x 10(-7) +/- 0.3 x 10(-7) cm(2)/s) and testosterone (K(b) = 92 +/- 29, D(b) = 1.9 x 10(-8) +/- 0.5 x 10(-8) cm(2)/s). The results presented in this paper demonstrate that this new method to evaluate K(b) and D(b) is comparable to, and simpler than, previous methods, in which SC permeation experiments were combined with octanol-water partition experiments, or with SC solute release experiments, to evaluate K(b) and D(b). (c) 2007 Wiley-Liss, Inc.

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Year:  2007        PMID: 17887175     DOI: 10.1002/jps.20896

Source DB:  PubMed          Journal:  J Pharm Sci        ISSN: 0022-3549            Impact factor:   3.534


  3 in total

1.  Mass partitioning effects in diffusion transport.

Authors:  Milos Kojic; Miljan Milosevic; Suhong Wu; Elvin Blanco; Mauro Ferrari; Arturas Ziemys
Journal:  Phys Chem Chem Phys       Date:  2015-07-23       Impact factor: 3.676

Review 2.  Surging footprints of mathematical modeling for prediction of transdermal permeability.

Authors:  Neha Goyal; Purva Thatai; Bharti Sapra
Journal:  Asian J Pharm Sci       Date:  2017-02-22       Impact factor: 6.598

3.  Development and Evaluation of an In Silico Dermal Absorption Model Relevant for Children.

Authors:  Yejin Esther Yun; Daniella Calderon-Nieva; Abdullah Hamadeh; Andrea N Edginton
Journal:  Pharmaceutics       Date:  2022-01-12       Impact factor: 6.321

  3 in total

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