Modelling drug delivery to the small airways: optimization using response surface methodology

<p><strong>Aim:</strong> The aim of this in silico study was to investigate the effect of particle size, flow rate, and tidal volume on drug targeting to small airways in patients with mild COPD.</p> <br> <p><strong>Method:</strong> Design of Experimen...

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Main Authors: Min, HJ, Payne, SJ, Stride, EP
Format: Journal article
Language:English
Published: Springer Nature 2024
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author Min, HJ
Payne, SJ
Stride, EP
author_facet Min, HJ
Payne, SJ
Stride, EP
author_sort Min, HJ
collection OXFORD
description <p><strong>Aim:</strong> The aim of this in silico study was to investigate the effect of particle size, flow rate, and tidal volume on drug targeting to small airways in patients with mild COPD.</p> <br> <p><strong>Method:</strong> Design of Experiments (DoE) was used with an in silico whole lung particle deposition model for bolus administration to investigate whether controlling inhalation can improve drug delivery to the small conducting airways. The range of particle aerodynamic diameters studied was 0.4 – 10 µm for flow rates between 100 – 2000 mL/s (i.e., low to very high), and tidal volumes between 40 – 1500 mL.</p> <br> <p><strong>Results:</strong> The model accurately predicted the relationship between independent variables and lung deposition, as confirmed by comparison with published experimental data. It was found that large particles (~ 5 µm) require very low flow rate (~ 100 mL/s) and very small tidal volume (~ 110 mL) to target small conducting airways, whereas fine particles (~ 2 µm) achieve drug targeting in the region at a relatively higher flow rate (~ 500 mL/s) and similar tidal volume (~ 110 mL).</p> <br> <p><strong>Conclusion:</strong> The simulation results indicated that controlling tidal volume and flow rate can achieve targeted delivery to the small airways (i.e., > 50% of emitted dose was predicted to deposit in the small airways), and the optimal parameters depend on the particle size. It is hoped that this finding could provide a means of improving drug targeting to the small conducting airways and improve prognosis in COPD management.</p>
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spelling oxford-uuid:cc6dc778-3741-43ae-8140-e85582c04e352024-10-30T15:33:01ZModelling drug delivery to the small airways: optimization using response surface methodologyJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:cc6dc778-3741-43ae-8140-e85582c04e35EnglishSymplectic ElementsSpringer Nature2024Min, HJPayne, SJStride, EP<p><strong>Aim:</strong> The aim of this in silico study was to investigate the effect of particle size, flow rate, and tidal volume on drug targeting to small airways in patients with mild COPD.</p> <br> <p><strong>Method:</strong> Design of Experiments (DoE) was used with an in silico whole lung particle deposition model for bolus administration to investigate whether controlling inhalation can improve drug delivery to the small conducting airways. The range of particle aerodynamic diameters studied was 0.4 – 10 µm for flow rates between 100 – 2000 mL/s (i.e., low to very high), and tidal volumes between 40 – 1500 mL.</p> <br> <p><strong>Results:</strong> The model accurately predicted the relationship between independent variables and lung deposition, as confirmed by comparison with published experimental data. It was found that large particles (~ 5 µm) require very low flow rate (~ 100 mL/s) and very small tidal volume (~ 110 mL) to target small conducting airways, whereas fine particles (~ 2 µm) achieve drug targeting in the region at a relatively higher flow rate (~ 500 mL/s) and similar tidal volume (~ 110 mL).</p> <br> <p><strong>Conclusion:</strong> The simulation results indicated that controlling tidal volume and flow rate can achieve targeted delivery to the small airways (i.e., > 50% of emitted dose was predicted to deposit in the small airways), and the optimal parameters depend on the particle size. It is hoped that this finding could provide a means of improving drug targeting to the small conducting airways and improve prognosis in COPD management.</p>
spellingShingle Min, HJ
Payne, SJ
Stride, EP
Modelling drug delivery to the small airways: optimization using response surface methodology
title Modelling drug delivery to the small airways: optimization using response surface methodology
title_full Modelling drug delivery to the small airways: optimization using response surface methodology
title_fullStr Modelling drug delivery to the small airways: optimization using response surface methodology
title_full_unstemmed Modelling drug delivery to the small airways: optimization using response surface methodology
title_short Modelling drug delivery to the small airways: optimization using response surface methodology
title_sort modelling drug delivery to the small airways optimization using response surface methodology
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AT paynesj modellingdrugdeliverytothesmallairwaysoptimizationusingresponsesurfacemethodology
AT strideep modellingdrugdeliverytothesmallairwaysoptimizationusingresponsesurfacemethodology