TY - JOUR
T1 - Innovative preclinical models for pulmonary drug delivery research
AU - Ehrmann, Stephan
AU - Schmid, Otmar
AU - Darquenne, Chantal
AU - Rothen-Rutishauser, Barbara
AU - Sznitman, Josue
AU - Yang, Lin
AU - Barosova, Hana
AU - Vecellio, Laurent
AU - Mitchell, Jolyon
AU - Heuze-Vourc'h, Nathalie
AU - Heuze-Vourc’h, Nathalie
N1 - Publisher Copyright: © 2020, © 2020 Informa UK Limited, trading as Taylor & Francis Group.
PY - 2020/4/2
Y1 - 2020/4/2
N2 - Introduction: Pulmonary drug delivery is a complex field of research combining physics which drive aerosol transport and deposition and biology which underpins efficacy and toxicity of inhaled drugs. A myriad of preclinical methods, ranging from in-silico to in-vitro, ex–vivo and in-vivo, can be implemented. Areas covered: The present review covers in-silico mathematical and computational fluid dynamics modelization of aerosol deposition, cascade impactor technology to estimated drug delivery and deposition, advanced in-vitro cell culture methods and associated aerosol exposure, lung-on-chip technology, ex–vivo modeling, in-vivo inhaled drug delivery, lung imaging, and longitudinal pharmacokinetic analysis. Expert opinion: No single preclinical model can be advocated; all methods are fundamentally complementary and should be implemented based on benefits and drawbacks to answer specific scientific questions. The overall best scientific strategy depends, among others, on the product under investigations, inhalation device design, disease of interest, clinical patient population, previous knowledge. Preclinical testing is not to be separated from clinical evaluation, as small proof-of-concept clinical studies or conversely large-scale clinical big data may inform preclinical testing. The extend of expertise required for such translational research is unlikely to be found in one single laboratory calling for the setup of multinational large-scale research consortiums.
AB - Introduction: Pulmonary drug delivery is a complex field of research combining physics which drive aerosol transport and deposition and biology which underpins efficacy and toxicity of inhaled drugs. A myriad of preclinical methods, ranging from in-silico to in-vitro, ex–vivo and in-vivo, can be implemented. Areas covered: The present review covers in-silico mathematical and computational fluid dynamics modelization of aerosol deposition, cascade impactor technology to estimated drug delivery and deposition, advanced in-vitro cell culture methods and associated aerosol exposure, lung-on-chip technology, ex–vivo modeling, in-vivo inhaled drug delivery, lung imaging, and longitudinal pharmacokinetic analysis. Expert opinion: No single preclinical model can be advocated; all methods are fundamentally complementary and should be implemented based on benefits and drawbacks to answer specific scientific questions. The overall best scientific strategy depends, among others, on the product under investigations, inhalation device design, disease of interest, clinical patient population, previous knowledge. Preclinical testing is not to be separated from clinical evaluation, as small proof-of-concept clinical studies or conversely large-scale clinical big data may inform preclinical testing. The extend of expertise required for such translational research is unlikely to be found in one single laboratory calling for the setup of multinational large-scale research consortiums.
KW - Nebulization
KW - aerosolization
KW - animal models
KW - cell culture techniques
KW - inhalation
KW - theoretical modeling
UR - http://www.scopus.com/inward/record.url?scp=85082542518&partnerID=8YFLogxK
U2 - https://doi.org/10.1080/17425247.2020.1730807
DO - https://doi.org/10.1080/17425247.2020.1730807
M3 - مقالة مرجعية
SN - 1742-5247
VL - 17
SP - 463
EP - 478
JO - Expert Opinion on Drug Delivery
JF - Expert Opinion on Drug Delivery
IS - 4
ER -