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Quantification of muco-obstructive lung disease variability in mice via laboratory X-ray velocimetry

To effectively diagnose, monitor and treat respiratory disease clinicians should be able to accurately assess the spatial distribution of airflow across the fine structure of lung. This capability would enable any decline or improvement in health to be located and measured, allowing improved treatme...

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Autores principales: Werdiger, Freda, Donnelley, Martin, Dubsky, Stephen, Murrie, Rhiannon P., Carnibella, Richard P., Samarage, Chaminda R., How, Ying Y., Zosky, Graeme R., Fouras, Andreas, Parsons, David W., Morgan, Kaye S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7331693/
https://www.ncbi.nlm.nih.gov/pubmed/32616726
http://dx.doi.org/10.1038/s41598-020-67633-y
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author Werdiger, Freda
Donnelley, Martin
Dubsky, Stephen
Murrie, Rhiannon P.
Carnibella, Richard P.
Samarage, Chaminda R.
How, Ying Y.
Zosky, Graeme R.
Fouras, Andreas
Parsons, David W.
Morgan, Kaye S.
author_facet Werdiger, Freda
Donnelley, Martin
Dubsky, Stephen
Murrie, Rhiannon P.
Carnibella, Richard P.
Samarage, Chaminda R.
How, Ying Y.
Zosky, Graeme R.
Fouras, Andreas
Parsons, David W.
Morgan, Kaye S.
author_sort Werdiger, Freda
collection PubMed
description To effectively diagnose, monitor and treat respiratory disease clinicians should be able to accurately assess the spatial distribution of airflow across the fine structure of lung. This capability would enable any decline or improvement in health to be located and measured, allowing improved treatment options to be designed. Current lung function assessment methods have many limitations, including the inability to accurately localise the origin of global changes within the lung. However, X-ray velocimetry (XV) has recently been demonstrated to be a sophisticated and non-invasive lung function measurement tool that is able to display the full dynamics of airflow throughout the lung over the natural breathing cycle. In this study we present two developments in XV analysis. Firstly, we show the ability of laboratory-based XV to detect the patchy nature of cystic fibrosis (CF)-like disease in β-ENaC mice. Secondly, we present a technique for numerical quantification of CF-like disease in mice that can delineate between two major modes of disease symptoms. We propose this analytical model as a simple, easy-to-interpret approach, and one capable of being readily applied to large quantities of data generated in XV imaging. Together these advances show the power of XV for assessing local airflow changes. We propose that XV should be considered as a novel lung function measurement tool for lung therapeutics development in small animal models, for CF and for other muco-obstructive diseases.
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spelling pubmed-73316932020-07-06 Quantification of muco-obstructive lung disease variability in mice via laboratory X-ray velocimetry Werdiger, Freda Donnelley, Martin Dubsky, Stephen Murrie, Rhiannon P. Carnibella, Richard P. Samarage, Chaminda R. How, Ying Y. Zosky, Graeme R. Fouras, Andreas Parsons, David W. Morgan, Kaye S. Sci Rep Article To effectively diagnose, monitor and treat respiratory disease clinicians should be able to accurately assess the spatial distribution of airflow across the fine structure of lung. This capability would enable any decline or improvement in health to be located and measured, allowing improved treatment options to be designed. Current lung function assessment methods have many limitations, including the inability to accurately localise the origin of global changes within the lung. However, X-ray velocimetry (XV) has recently been demonstrated to be a sophisticated and non-invasive lung function measurement tool that is able to display the full dynamics of airflow throughout the lung over the natural breathing cycle. In this study we present two developments in XV analysis. Firstly, we show the ability of laboratory-based XV to detect the patchy nature of cystic fibrosis (CF)-like disease in β-ENaC mice. Secondly, we present a technique for numerical quantification of CF-like disease in mice that can delineate between two major modes of disease symptoms. We propose this analytical model as a simple, easy-to-interpret approach, and one capable of being readily applied to large quantities of data generated in XV imaging. Together these advances show the power of XV for assessing local airflow changes. We propose that XV should be considered as a novel lung function measurement tool for lung therapeutics development in small animal models, for CF and for other muco-obstructive diseases. Nature Publishing Group UK 2020-07-02 /pmc/articles/PMC7331693/ /pubmed/32616726 http://dx.doi.org/10.1038/s41598-020-67633-y Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Werdiger, Freda
Donnelley, Martin
Dubsky, Stephen
Murrie, Rhiannon P.
Carnibella, Richard P.
Samarage, Chaminda R.
How, Ying Y.
Zosky, Graeme R.
Fouras, Andreas
Parsons, David W.
Morgan, Kaye S.
Quantification of muco-obstructive lung disease variability in mice via laboratory X-ray velocimetry
title Quantification of muco-obstructive lung disease variability in mice via laboratory X-ray velocimetry
title_full Quantification of muco-obstructive lung disease variability in mice via laboratory X-ray velocimetry
title_fullStr Quantification of muco-obstructive lung disease variability in mice via laboratory X-ray velocimetry
title_full_unstemmed Quantification of muco-obstructive lung disease variability in mice via laboratory X-ray velocimetry
title_short Quantification of muco-obstructive lung disease variability in mice via laboratory X-ray velocimetry
title_sort quantification of muco-obstructive lung disease variability in mice via laboratory x-ray velocimetry
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7331693/
https://www.ncbi.nlm.nih.gov/pubmed/32616726
http://dx.doi.org/10.1038/s41598-020-67633-y
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