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Optimizations of In Vitro Mucus and Cell Culture Models to Better Predict In Vivo Gene Transfer in Pathological Lung Respiratory Airways: Cystic Fibrosis as an Example

The respiratory epithelium can be affected by many diseases that could be treated using aerosol gene therapy. Among these, cystic fibrosis (CF) is a lethal inherited disease characterized by airways complications, which determine the life expectancy and the effectiveness of aerosolized treatments. B...

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Autores principales: Ghanem, Rosy, Laurent, Véronique, Roquefort, Philippe, Haute, Tanguy, Ramel, Sophie, Le Gall, Tony, Aubry, Thierry, Montier, Tristan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7823756/
https://www.ncbi.nlm.nih.gov/pubmed/33396283
http://dx.doi.org/10.3390/pharmaceutics13010047
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author Ghanem, Rosy
Laurent, Véronique
Roquefort, Philippe
Haute, Tanguy
Ramel, Sophie
Le Gall, Tony
Aubry, Thierry
Montier, Tristan
author_facet Ghanem, Rosy
Laurent, Véronique
Roquefort, Philippe
Haute, Tanguy
Ramel, Sophie
Le Gall, Tony
Aubry, Thierry
Montier, Tristan
author_sort Ghanem, Rosy
collection PubMed
description The respiratory epithelium can be affected by many diseases that could be treated using aerosol gene therapy. Among these, cystic fibrosis (CF) is a lethal inherited disease characterized by airways complications, which determine the life expectancy and the effectiveness of aerosolized treatments. Beside evaluations performed under in vivo settings, cell culture models mimicking in vivo pathophysiological conditions can provide complementary insights into the potential of gene transfer strategies. Such models must consider multiple parameters, following the rationale that proper gene transfer evaluations depend on whether they are performed under experimental conditions close to pathophysiological settings. In addition, the mucus layer, which covers the epithelial cells, constitutes a physical barrier for gene delivery, especially in diseases such as CF. Artificial mucus models featuring physical and biological properties similar to CF mucus allow determining the ability of gene transfer systems to effectively reach the underlying epithelium. In this review, we describe mucus and cellular models relevant for CF aerosol gene therapy, with a particular emphasis on mucus rheology. We strongly believe that combining multiple pathophysiological features in single complex cell culture models could help bridge the gaps between in vitro and in vivo settings, as well as viral and non-viral gene delivery strategies.
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spelling pubmed-78237562021-01-24 Optimizations of In Vitro Mucus and Cell Culture Models to Better Predict In Vivo Gene Transfer in Pathological Lung Respiratory Airways: Cystic Fibrosis as an Example Ghanem, Rosy Laurent, Véronique Roquefort, Philippe Haute, Tanguy Ramel, Sophie Le Gall, Tony Aubry, Thierry Montier, Tristan Pharmaceutics Review The respiratory epithelium can be affected by many diseases that could be treated using aerosol gene therapy. Among these, cystic fibrosis (CF) is a lethal inherited disease characterized by airways complications, which determine the life expectancy and the effectiveness of aerosolized treatments. Beside evaluations performed under in vivo settings, cell culture models mimicking in vivo pathophysiological conditions can provide complementary insights into the potential of gene transfer strategies. Such models must consider multiple parameters, following the rationale that proper gene transfer evaluations depend on whether they are performed under experimental conditions close to pathophysiological settings. In addition, the mucus layer, which covers the epithelial cells, constitutes a physical barrier for gene delivery, especially in diseases such as CF. Artificial mucus models featuring physical and biological properties similar to CF mucus allow determining the ability of gene transfer systems to effectively reach the underlying epithelium. In this review, we describe mucus and cellular models relevant for CF aerosol gene therapy, with a particular emphasis on mucus rheology. We strongly believe that combining multiple pathophysiological features in single complex cell culture models could help bridge the gaps between in vitro and in vivo settings, as well as viral and non-viral gene delivery strategies. MDPI 2020-12-31 /pmc/articles/PMC7823756/ /pubmed/33396283 http://dx.doi.org/10.3390/pharmaceutics13010047 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Ghanem, Rosy
Laurent, Véronique
Roquefort, Philippe
Haute, Tanguy
Ramel, Sophie
Le Gall, Tony
Aubry, Thierry
Montier, Tristan
Optimizations of In Vitro Mucus and Cell Culture Models to Better Predict In Vivo Gene Transfer in Pathological Lung Respiratory Airways: Cystic Fibrosis as an Example
title Optimizations of In Vitro Mucus and Cell Culture Models to Better Predict In Vivo Gene Transfer in Pathological Lung Respiratory Airways: Cystic Fibrosis as an Example
title_full Optimizations of In Vitro Mucus and Cell Culture Models to Better Predict In Vivo Gene Transfer in Pathological Lung Respiratory Airways: Cystic Fibrosis as an Example
title_fullStr Optimizations of In Vitro Mucus and Cell Culture Models to Better Predict In Vivo Gene Transfer in Pathological Lung Respiratory Airways: Cystic Fibrosis as an Example
title_full_unstemmed Optimizations of In Vitro Mucus and Cell Culture Models to Better Predict In Vivo Gene Transfer in Pathological Lung Respiratory Airways: Cystic Fibrosis as an Example
title_short Optimizations of In Vitro Mucus and Cell Culture Models to Better Predict In Vivo Gene Transfer in Pathological Lung Respiratory Airways: Cystic Fibrosis as an Example
title_sort optimizations of in vitro mucus and cell culture models to better predict in vivo gene transfer in pathological lung respiratory airways: cystic fibrosis as an example
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7823756/
https://www.ncbi.nlm.nih.gov/pubmed/33396283
http://dx.doi.org/10.3390/pharmaceutics13010047
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