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Pulmonary drug delivery and retention: A computational study to identify plausible parameters based on a coupled airway-mucus flow model

Pulmonary drug delivery systems rely on inhalation of drug-laden aerosols produced from aerosol generators such as inhalers, nebulizers etc. On deposition, the drug molecules diffuse in the mucus layer and are also subjected to mucociliary advection which transports the drugs away from the initial d...

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Autores principales: Chakravarty, Aranyak, Panchagnula, Mahesh V., Mohan, Alladi, Patankar, Neelesh A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9197018/
https://www.ncbi.nlm.nih.gov/pubmed/35653381
http://dx.doi.org/10.1371/journal.pcbi.1010143
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author Chakravarty, Aranyak
Panchagnula, Mahesh V.
Mohan, Alladi
Patankar, Neelesh A.
author_facet Chakravarty, Aranyak
Panchagnula, Mahesh V.
Mohan, Alladi
Patankar, Neelesh A.
author_sort Chakravarty, Aranyak
collection PubMed
description Pulmonary drug delivery systems rely on inhalation of drug-laden aerosols produced from aerosol generators such as inhalers, nebulizers etc. On deposition, the drug molecules diffuse in the mucus layer and are also subjected to mucociliary advection which transports the drugs away from the initial deposition site. The availability of the drug at a particular region of the lung is, thus, determined by a balance between these two phenomena. A mathematical analysis of drug deposition and retention in the lungs is developed through a coupled mathematical model of aerosol transport in air as well as drug molecule transport in the mucus layer. The mathematical model is solved computationally to identify suitable conditions for the transport of drug-laden aerosols to the deep lungs. This study identifies the conditions conducive for delivering drugs to the deep lungs which is crucial for achieving systemic drug delivery. The effect of different parameters on drug retention is also characterized for various regions of the lungs, which is important in determining the availability of the inhaled drugs at a target location. Our analysis confirms that drug delivery efficacy remains highest for aerosols in the size range of 1-5 μm. Moreover, it is observed that amount of drugs deposited in the deep lung increases by a factor of 2 when the breathing time period is doubled, with respect to normal breathing, suggesting breath control as a means to increase the efficacy of drug delivery to the deep lung. A higher efficacy also reduces the drug load required to be inhaled to produce the same health effects and hence, can help in minimizing the side effects of a drug.
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spelling pubmed-91970182022-06-15 Pulmonary drug delivery and retention: A computational study to identify plausible parameters based on a coupled airway-mucus flow model Chakravarty, Aranyak Panchagnula, Mahesh V. Mohan, Alladi Patankar, Neelesh A. PLoS Comput Biol Research Article Pulmonary drug delivery systems rely on inhalation of drug-laden aerosols produced from aerosol generators such as inhalers, nebulizers etc. On deposition, the drug molecules diffuse in the mucus layer and are also subjected to mucociliary advection which transports the drugs away from the initial deposition site. The availability of the drug at a particular region of the lung is, thus, determined by a balance between these two phenomena. A mathematical analysis of drug deposition and retention in the lungs is developed through a coupled mathematical model of aerosol transport in air as well as drug molecule transport in the mucus layer. The mathematical model is solved computationally to identify suitable conditions for the transport of drug-laden aerosols to the deep lungs. This study identifies the conditions conducive for delivering drugs to the deep lungs which is crucial for achieving systemic drug delivery. The effect of different parameters on drug retention is also characterized for various regions of the lungs, which is important in determining the availability of the inhaled drugs at a target location. Our analysis confirms that drug delivery efficacy remains highest for aerosols in the size range of 1-5 μm. Moreover, it is observed that amount of drugs deposited in the deep lung increases by a factor of 2 when the breathing time period is doubled, with respect to normal breathing, suggesting breath control as a means to increase the efficacy of drug delivery to the deep lung. A higher efficacy also reduces the drug load required to be inhaled to produce the same health effects and hence, can help in minimizing the side effects of a drug. Public Library of Science 2022-06-02 /pmc/articles/PMC9197018/ /pubmed/35653381 http://dx.doi.org/10.1371/journal.pcbi.1010143 Text en © 2022 Chakravarty et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Chakravarty, Aranyak
Panchagnula, Mahesh V.
Mohan, Alladi
Patankar, Neelesh A.
Pulmonary drug delivery and retention: A computational study to identify plausible parameters based on a coupled airway-mucus flow model
title Pulmonary drug delivery and retention: A computational study to identify plausible parameters based on a coupled airway-mucus flow model
title_full Pulmonary drug delivery and retention: A computational study to identify plausible parameters based on a coupled airway-mucus flow model
title_fullStr Pulmonary drug delivery and retention: A computational study to identify plausible parameters based on a coupled airway-mucus flow model
title_full_unstemmed Pulmonary drug delivery and retention: A computational study to identify plausible parameters based on a coupled airway-mucus flow model
title_short Pulmonary drug delivery and retention: A computational study to identify plausible parameters based on a coupled airway-mucus flow model
title_sort pulmonary drug delivery and retention: a computational study to identify plausible parameters based on a coupled airway-mucus flow model
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9197018/
https://www.ncbi.nlm.nih.gov/pubmed/35653381
http://dx.doi.org/10.1371/journal.pcbi.1010143
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