Literature DB >> 16052562

Comparison of human tracheal/bronchial epithelial cell culture and bovine nasal respiratory explants for nasal drug transport studies.

Nagendra V Chemuturi1, Patrick Hayden, Mitch Klausner, Maureen D Donovan.   

Abstract

Ten drug compounds with varying physicochemical properties and transporter substrate specificities were investigated to compare their in vitro permeabilities across bovine nasal respiratory explants and the EpiAirway system, both established models for the assessment of nasal drug absorption. Permeability across the bovine explants and EpiAirway correlated well with the partitioning behavior of compounds whose clogDC values were greater than 0. The permeabilities of all ten compounds were well-correlated between the two tissue models, with the permeability values through the EpiAirway tissues being approximately 10-fold higher than through the bovine explants due to the thickness differences between the models. For more lipophilic compounds, the in vitro permeabilities measured with both tissue systems were also predictive of the reported in vivo nasal bioavailabilities. Deviations from these correlations were observed for compounds reported to be substrates of p-glycoprotein or OCT transporters, and differences were also seen between the permeabilities measured in the tissue models for these compounds. Both models can be used to estimate the systemic bioavailability of moderately lipophilic compounds administered intranasally, while each may have particular advantages or disadvantages in estimating the bioavailability of drug compounds that are subject to local mucosal metabolism or to carrier-mediated uptake or efflux.

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Year:  2005        PMID: 16052562     DOI: 10.1002/jps.20404

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


  8 in total

1.  Permeation and systemic absorption of R- and S-baclofen across the nasal mucosa.

Authors:  Hefei Zhang; Mark Schmidt; Daryl J Murry; Maureen D Donovan
Journal:  J Pharm Sci       Date:  2011-01-31       Impact factor: 3.534

2.  Use of the EpiAirway model for characterizing long-term host-pathogen interactions.

Authors:  Dabin Ren; Dayle A Daines
Journal:  J Vis Exp       Date:  2011-09-02       Impact factor: 1.355

3.  Correlation between nasal membrane permeability and nasal absorption rate.

Authors:  Hefei Zhang; Chih-Wei Lin; Maureen D Donovan
Journal:  AAPS PharmSciTech       Date:  2012-12-07       Impact factor: 3.246

4.  A Model of Human Small Airway on a Chip for Studies of Subacute Effects of Inhalation Toxicants.

Authors:  Courtney Sakolish; Andrei Georgescu; Dan Dongeun Huh; Ivan Rusyn
Journal:  Toxicol Sci       Date:  2022-05-26       Impact factor: 4.109

5.  Effect of cyclodextrins on the complexation and nasal permeation of melatonin.

Authors:  R Jayachandra Babu; Pankaj Dayal; Mandip Singh
Journal:  Drug Deliv       Date:  2008-08       Impact factor: 6.419

6.  Characterization of ABC Transporters in EpiAirway™, a Cellular Model of Normal Human Bronchial Epithelium.

Authors:  Bianca Maria Rotoli; Amelia Barilli; Rossana Visigalli; Francesca Ferrari; Caterina Frati; Costanza Annamaria Lagrasta; Maria Di Lascia; Benedetta Riccardi; Paola Puccini; Valeria Dall'Asta
Journal:  Int J Mol Sci       Date:  2020-04-30       Impact factor: 5.923

7.  Functional analysis of OCTN2 and ATB0,+ in normal human airway epithelial cells.

Authors:  Bianca Maria Rotoli; Rossana Visigalli; Amelia Barilli; Francesca Ferrari; Massimiliano G Bianchi; Maria Di Lascia; Benedetta Riccardi; Paola Puccini; Valeria Dall'Asta
Journal:  PLoS One       Date:  2020-02-06       Impact factor: 3.240

8.  Comparison of Various Cell Lines and Three-Dimensional Mucociliary Tissue Model Systems to Estimate Drug Permeability Using an In Vitro Transport Study to Predict Nasal Drug Absorption in Rats.

Authors:  Tomoyuki Furubayashi; Daisuke Inoue; Noriko Nishiyama; Akiko Tanaka; Reiko Yutani; Shunsuke Kimura; Hidemasa Katsumi; Akira Yamamoto; Toshiyasu Sakane
Journal:  Pharmaceutics       Date:  2020-01-17       Impact factor: 6.321

  8 in total

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