Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/131861
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Type: Journal article
Title: Quantification of muco-obstructive lung disease variability in mice via laboratory X-ray velocimetry
Author: Werdiger, F.
Donnelley, M.
Dubsky, S.
Murrie, R.P.
Carnibella, R.P.
Samarage, C.R.
How, Y.Y.
Zosky, G.R.
Fouras, A.
Parsons, D.W.
Morgan, K.S.
Citation: Scientific Reports, 2020; 10(1):10859-1-10859-12
Publisher: Nature
Issue Date: 2020
ISSN: 2045-2322
2045-2322
Statement of
Responsibility: 
Freda Werdiger, Martin Donnelley, Stephen Dubsky, Rhiannon P. Murrie, Richard P. Carnibella, Chaminda R. Samarage ... et al.
Abstract: 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.
Keywords: Heart
Mucus
Animals
Mice
Lung Diseases, Obstructive
Mucociliary Clearance
X-Ray Microtomography
Rights: © The Author(s) 2020. 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://creat iveco mmons .org/licen ses/by/4.0/.
DOI: 10.1038/s41598-020-67633-y
Grant ID: http://purl.org/au-research/grants/nhmrc/GNT1079712
http://purl.org/au-research/grants/nhmrc/GNT1055116
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