Literature DB >> 21133801

In vivo-in vitro correlations: predicting pulmonary drug deposition from pharmaceutical aerosols.

Peter R Byron1, Michael Hindle, Carlos F Lange, P Worth Longest, Donald McRobbie, Michael J Oldham, Bo Olsson, Charles G Thiel, Herbert Wachtel, Warren H Finlay.   

Abstract

In order to answer the question "what research remains to be done?" we review the current state of the art in pharmaceutical aerosol deposition modeling and explore possible in vivo- in vitro correlations (IVIVC) linking drug deposition in the human lung to predictions made using in vitro physical airway models and in silico computer models. The use of physical replicas of portions of the respiratory tract is considered, alongside the advantages and disadvantages of the different imaging methods used to obtain their dimensions. The use of airway replicas to determine drug deposition in vitro is discussed and compared with the predictions from different empirical curve fits to long-standing in vivo deposition data for monodisperse aerosols. The use of improved computational models and three-dimensional computational fluid dynamics (CFD) to predict aerosol deposition within the respiratory tract is examined. CFD's ability to predict both drug deposition from pharmaceutical aerosol sprays and powder behavior in dry powder inhalers is examined; both were highlighted as important areas for future research. Although the authors note the abilities of current in vitro and in silico methods to predict in vivo data, a number of limitations remain. These include our present inability to either image or replicate all but the most proximal airways in sufficient spatial and temporal detail to allow full capture of the fluid and aerosol mechanics in these regions. In addition, the highly complex microscale behavior of aerosols within inhalers and the respiratory tract places extreme computational demands on in silico methods. When the complexity of variations in respiratory tract geometry is associated with additional factors such as breathing pattern, age, disease state, postural position, and patient-device interaction are all considered, it is clear that further research is required before the prediction of all aspects of inhaled pharmaceutical aerosol deposition is possible.

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Year:  2010        PMID: 21133801     DOI: 10.1089/jamp.2010.0846

Source DB:  PubMed          Journal:  J Aerosol Med Pulm Drug Deliv        ISSN: 1941-2711            Impact factor:   2.849


  21 in total

1.  Effect of device design on the in vitro performance and comparability for capsule-based dry powder inhalers.

Authors:  Jagdeep Shur; Sau Lee; Wallace Adams; Robert Lionberger; James Tibbatts; Robert Price
Journal:  AAPS J       Date:  2012-06-22       Impact factor: 4.009

2.  Effect of Device Design and Formulation on the In Vitro Comparability for Multi-Unit Dose Dry Powder Inhalers.

Authors:  Jagdeep Shur; Bhawana Saluja; Sau Lee; James Tibbatts; Robert Price
Journal:  AAPS J       Date:  2015-05-09       Impact factor: 4.009

3.  Understanding the Different Effects of Inhaler Design on the Aerosol Performance of Drug-Only and Carrier-Based DPI Formulations. Part 1: Grid Structure.

Authors:  Cassandra Ming Shan Leung; Zhenbo Tong; Qi Tony Zhou; John Gar Yan Chan; Patricia Tang; Siping Sun; Runyu Yang; Hak-Kim Chan
Journal:  AAPS J       Date:  2016-05-09       Impact factor: 4.009

Review 4.  In Vitro Testing for Orally Inhaled Products: Developments in Science-Based Regulatory Approaches.

Authors:  Ben Forbes; Per Bäckman; David Christopher; Myrna Dolovich; Bing V Li; Beth Morgan
Journal:  AAPS J       Date:  2015-05-05       Impact factor: 4.009

Review 5.  Devices for Improved Delivery of Nebulized Pharmaceutical Aerosols to the Lungs.

Authors:  Worth Longest; Benjamin Spence; Michael Hindle
Journal:  J Aerosol Med Pulm Drug Deliv       Date:  2019-07-09       Impact factor: 2.849

6.  A pharmacokinetic simulation tool for inhaled corticosteroids.

Authors:  Benjamin Weber; Guenther Hochhaus
Journal:  AAPS J       Date:  2012-11-10       Impact factor: 4.009

7.  Development of an infant complete-airway in vitro model for evaluating aerosol deposition.

Authors:  Karl Bass; P Worth Longest
Journal:  Med Eng Phys       Date:  2018-06-22       Impact factor: 2.242

8.  Validating Whole-Airway CFD Predictions of DPI Aerosol Deposition at Multiple Flow Rates.

Authors:  P Worth Longest; Geng Tian; Navvab Khajeh-Hosseini-Dalasm; Michael Hindle
Journal:  J Aerosol Med Pulm Drug Deliv       Date:  2016-04-15       Impact factor: 2.849

9.  Comparison of in vitro deposition of pharmaceutical aerosols in an idealized child throat with in vivo deposition in the upper respiratory tract of children.

Authors:  Conor A Ruzycki; Laleh Golshahi; Reinhard Vehring; Warren H Finlay
Journal:  Pharm Res       Date:  2014-01-07       Impact factor: 4.200

10.  Early airway structural changes in cystic fibrosis pigs as a determinant of particle distribution and deposition.

Authors:  Maged Awadalla; Shinjiro Miyawaki; Mahmoud H Abou Alaiwa; Ryan J Adam; Drake C Bouzek; Andrew S Michalski; Matthew K Fuld; Karen J Reynolds; Eric A Hoffman; Ching-Long Lin; David A Stoltz
Journal:  Ann Biomed Eng       Date:  2013-12-06       Impact factor: 3.934

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