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In Silico Quantification of Intersubject Variability on Aerosol Deposition in the Oral Airway
The extrathoracic oral airway is not only a major mechanical barrier for pharmaceutical aerosols to reach the lung but also a major source of variability in lung deposition. Using computational fluid dynamics, deposition of 1–30 µm particles was predicted in 11 CT-based models of the oral airways of...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9860768/ https://www.ncbi.nlm.nih.gov/pubmed/36678786 http://dx.doi.org/10.3390/pharmaceutics15010160 |
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author | Borojeni, Azadeh A. T. Gu, Wanjun Asgharian, Bahman Price, Owen Kuprat, Andrew P. Singh, Rajesh K. Colby, Sean Corley, Richard A. Darquenne, Chantal |
author_facet | Borojeni, Azadeh A. T. Gu, Wanjun Asgharian, Bahman Price, Owen Kuprat, Andrew P. Singh, Rajesh K. Colby, Sean Corley, Richard A. Darquenne, Chantal |
author_sort | Borojeni, Azadeh A. T. |
collection | PubMed |
description | The extrathoracic oral airway is not only a major mechanical barrier for pharmaceutical aerosols to reach the lung but also a major source of variability in lung deposition. Using computational fluid dynamics, deposition of 1–30 µm particles was predicted in 11 CT-based models of the oral airways of adults. Simulations were performed for mouth breathing during both inspiration and expiration at two steady-state flow rates representative of resting/nebulizer use (18 L/min) and of dry powder inhaler (DPI) use (45 L/min). Consistent with previous in vitro studies, there was a large intersubject variability in oral deposition. For an optimal size distribution of 1–5 µm for pharmaceutical aerosols, our data suggest that >75% of the inhaled aerosol is delivered to the intrathoracic lungs in most subjects when using a nebulizer but only in about half the subjects when using a DPI. There was no significant difference in oral deposition efficiency between inspiration and expiration, unlike subregional deposition, which shows significantly different patterns between the two breathing phases. These results highlight the need for incorporating a morphological variation of the upper airway in predictive models of aerosol deposition for accurate predictions of particle dosimetry in the intrathoracic region of the lung. |
format | Online Article Text |
id | pubmed-9860768 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-98607682023-01-22 In Silico Quantification of Intersubject Variability on Aerosol Deposition in the Oral Airway Borojeni, Azadeh A. T. Gu, Wanjun Asgharian, Bahman Price, Owen Kuprat, Andrew P. Singh, Rajesh K. Colby, Sean Corley, Richard A. Darquenne, Chantal Pharmaceutics Article The extrathoracic oral airway is not only a major mechanical barrier for pharmaceutical aerosols to reach the lung but also a major source of variability in lung deposition. Using computational fluid dynamics, deposition of 1–30 µm particles was predicted in 11 CT-based models of the oral airways of adults. Simulations were performed for mouth breathing during both inspiration and expiration at two steady-state flow rates representative of resting/nebulizer use (18 L/min) and of dry powder inhaler (DPI) use (45 L/min). Consistent with previous in vitro studies, there was a large intersubject variability in oral deposition. For an optimal size distribution of 1–5 µm for pharmaceutical aerosols, our data suggest that >75% of the inhaled aerosol is delivered to the intrathoracic lungs in most subjects when using a nebulizer but only in about half the subjects when using a DPI. There was no significant difference in oral deposition efficiency between inspiration and expiration, unlike subregional deposition, which shows significantly different patterns between the two breathing phases. These results highlight the need for incorporating a morphological variation of the upper airway in predictive models of aerosol deposition for accurate predictions of particle dosimetry in the intrathoracic region of the lung. MDPI 2023-01-03 /pmc/articles/PMC9860768/ /pubmed/36678786 http://dx.doi.org/10.3390/pharmaceutics15010160 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/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 (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Borojeni, Azadeh A. T. Gu, Wanjun Asgharian, Bahman Price, Owen Kuprat, Andrew P. Singh, Rajesh K. Colby, Sean Corley, Richard A. Darquenne, Chantal In Silico Quantification of Intersubject Variability on Aerosol Deposition in the Oral Airway |
title | In Silico Quantification of Intersubject Variability on Aerosol Deposition in the Oral Airway |
title_full | In Silico Quantification of Intersubject Variability on Aerosol Deposition in the Oral Airway |
title_fullStr | In Silico Quantification of Intersubject Variability on Aerosol Deposition in the Oral Airway |
title_full_unstemmed | In Silico Quantification of Intersubject Variability on Aerosol Deposition in the Oral Airway |
title_short | In Silico Quantification of Intersubject Variability on Aerosol Deposition in the Oral Airway |
title_sort | in silico quantification of intersubject variability on aerosol deposition in the oral airway |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9860768/ https://www.ncbi.nlm.nih.gov/pubmed/36678786 http://dx.doi.org/10.3390/pharmaceutics15010160 |
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