Literature DB >> 23851077

In vitro and ex vivo methods predict the enhanced lung residence time of liposomal ciprofloxacin formulations for nebulisation.

Hui Xin Ong1, Faiza Benaouda2, Daniela Traini1, David Cipolla3, Igor Gonda3, Mary Bebawy4, Ben Forbes2, Paul M Young5.   

Abstract

Liposomal ciprofloxacin formulations have been developed with the aim of enhancing lung residence time, thereby reducing the burden of inhaled antimicrobial therapy which requires multiple daily administration due to rapid absorptive clearance of antibiotics from the lungs. However, there is a lack of a predictive methodology available to assess controlled release inhalation delivery systems and their effect on drug disposition. In this study, three ciprofloxacin formulations were evaluated: a liposomal formulation, a solution formulation and a 1:1 combination of the two (mixture formulation). Different methodologies were utilised to study the release profiles of ciprofloxacin from these formulations: (i) membrane diffusion, (ii) air interface Calu-3 cells and (iii) isolated perfused rat lungs. The data from these models were compared to the performance of the formulations in vivo. The solution formulation provided the highest rate of absorptive transport followed by the mixture formulation, with the liposomal formulation providing substantially slower drug release. The rank order of drug release/transport from the different formulations was consistent across the in vitro and ex vivo methods, and this was predictive of the profiles in vivo. The use of complimentary in vitro and ex vivo methodologies provided a robust analysis of formulation behaviour, including mechanistic insights, and predicted in vivo pharmacokinetics.
Copyright © 2013 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Calu-3; Ciprofloxacin; Isolated perfused lung; Liposomes; Pulmonary model; Transport

Mesh:

Substances:

Year:  2013        PMID: 23851077     DOI: 10.1016/j.ejpb.2013.06.024

Source DB:  PubMed          Journal:  Eur J Pharm Biopharm        ISSN: 0939-6411            Impact factor:   5.571


  8 in total

1.  Sustained Release of Green Tea Polyphenols from Liposomal Nanoparticles; Release Kinetics and Mathematical Modelling.

Authors:  Ravi Theaj Prakash Upputuri; Abul Kalam Azad Mandal
Journal:  Iran J Biotechnol       Date:  2017-12-29       Impact factor: 1.671

Review 2.  Advances in device and formulation technologies for pulmonary drug delivery.

Authors:  John Gar Yan Chan; Jennifer Wong; Qi Tony Zhou; Sharon Shui Yee Leung; Hak-Kim Chan
Journal:  AAPS PharmSciTech       Date:  2014-04-12       Impact factor: 3.246

Review 3.  MicroRNAs as therapeutics for future drug delivery systems in treatment of lung diseases.

Authors:  Kamal Dua; Nicole G Hansbro; Paul S Foster; Philip M Hansbro
Journal:  Drug Deliv Transl Res       Date:  2017-02       Impact factor: 4.617

4.  A Comparison of Drug Transport in Pulmonary Absorption Models: Isolated Perfused rat Lungs, Respiratory Epithelial Cell Lines and Primary Cell Culture.

Authors:  Cynthia Bosquillon; Michaela Madlova; Nilesh Patel; Nicola Clear; Ben Forbes
Journal:  Pharm Res       Date:  2017-09-18       Impact factor: 4.200

5.  Altered pulmonary capillary permeability in immunosuppressed guinea pigs infected with Legionella pneumophila serogroup 1.

Authors:  Xu Cai; Na Yu; Jiangwei Ma; Wen-Yang Li; Mingtao Xu; Erran Li; Min Zhang; Wei Wang; Yu Chen; Jian Kang
Journal:  Exp Ther Med       Date:  2019-10-14       Impact factor: 2.447

Review 6.  Different Nanotechnology Approaches for Ciprofloxacin Delivery Against Multidrug-Resistant Microbes.

Authors:  Ashagrachew Tewabe Yayehrad; Gebremariam Birhanu Wondie; Tesfa Marew
Journal:  Infect Drug Resist       Date:  2022-02-05       Impact factor: 4.003

Review 7.  Development of Liposomal Ciprofloxacin to Treat Lung Infections.

Authors:  David Cipolla; Jim Blanchard; Igor Gonda
Journal:  Pharmaceutics       Date:  2016-03-01       Impact factor: 6.321

Review 8.  Modifying and Integrating in vitro and ex vivo Respiratory Models for Inhalation Drug Screening.

Authors:  Aylin Cidem; Peta Bradbury; Daniela Traini; Hui Xin Ong
Journal:  Front Bioeng Biotechnol       Date:  2020-10-23
  8 in total

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