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Phase-contrast computed tomography for quantification of structural changes in lungs of asthma mouse models of different severity
Lung imaging in mouse disease models is crucial for the assessment of the severity of airway disease but remains challenging due to the small size and the high porosity of the organ. Synchrotron inline free-propagation phase-contrast computed tomography (CT) with its intrinsic high soft-tissue contr...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
International Union of Crystallography
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4489538/ https://www.ncbi.nlm.nih.gov/pubmed/26134818 http://dx.doi.org/10.1107/S1600577515006177 |
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author | Dullin, Christian Larsson, Emanuel Tromba, Giuliana Markus, Andrea M. Alves, Frauke |
author_facet | Dullin, Christian Larsson, Emanuel Tromba, Giuliana Markus, Andrea M. Alves, Frauke |
author_sort | Dullin, Christian |
collection | PubMed |
description | Lung imaging in mouse disease models is crucial for the assessment of the severity of airway disease but remains challenging due to the small size and the high porosity of the organ. Synchrotron inline free-propagation phase-contrast computed tomography (CT) with its intrinsic high soft-tissue contrast provides the necessary sensitivity and spatial resolution to analyse the mouse lung structure in great detail. Here, this technique has been applied in combination with single-distance phase retrieval to quantify alterations of the lung structure in experimental asthma mouse models of different severity. In order to mimic an in vivo situation as close as possible, the lungs were inflated with air at a constant physiological pressure. Entire mice were embedded in agarose gel and imaged using inline free-propagation phase-contrast CT at the SYRMEP beamline (Synchrotron Light Source, ‘Elettra’, Trieste, Italy). The quantification of the obtained phase-contrast CT data sets revealed an increasing lung soft-tissue content in mice correlating with the degree of the severity of experimental allergic airways disease. In this way, it was possible to successfully discriminate between healthy controls and mice with either mild or severe allergic airway disease. It is believed that this approach may have the potential to evaluate the efficacy of novel therapeutic strategies that target airway remodelling processes in asthma. |
format | Online Article Text |
id | pubmed-4489538 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | International Union of Crystallography |
record_format | MEDLINE/PubMed |
spelling | pubmed-44895382015-07-14 Phase-contrast computed tomography for quantification of structural changes in lungs of asthma mouse models of different severity Dullin, Christian Larsson, Emanuel Tromba, Giuliana Markus, Andrea M. Alves, Frauke J Synchrotron Radiat Short Communications Lung imaging in mouse disease models is crucial for the assessment of the severity of airway disease but remains challenging due to the small size and the high porosity of the organ. Synchrotron inline free-propagation phase-contrast computed tomography (CT) with its intrinsic high soft-tissue contrast provides the necessary sensitivity and spatial resolution to analyse the mouse lung structure in great detail. Here, this technique has been applied in combination with single-distance phase retrieval to quantify alterations of the lung structure in experimental asthma mouse models of different severity. In order to mimic an in vivo situation as close as possible, the lungs were inflated with air at a constant physiological pressure. Entire mice were embedded in agarose gel and imaged using inline free-propagation phase-contrast CT at the SYRMEP beamline (Synchrotron Light Source, ‘Elettra’, Trieste, Italy). The quantification of the obtained phase-contrast CT data sets revealed an increasing lung soft-tissue content in mice correlating with the degree of the severity of experimental allergic airways disease. In this way, it was possible to successfully discriminate between healthy controls and mice with either mild or severe allergic airway disease. It is believed that this approach may have the potential to evaluate the efficacy of novel therapeutic strategies that target airway remodelling processes in asthma. International Union of Crystallography 2015-06-17 /pmc/articles/PMC4489538/ /pubmed/26134818 http://dx.doi.org/10.1107/S1600577515006177 Text en © Christian Dullin et al. 2015 http://creativecommons.org/licenses/by/2.0/uk/ This is an open-access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original authors and source are cited. |
spellingShingle | Short Communications Dullin, Christian Larsson, Emanuel Tromba, Giuliana Markus, Andrea M. Alves, Frauke Phase-contrast computed tomography for quantification of structural changes in lungs of asthma mouse models of different severity |
title | Phase-contrast computed tomography for quantification of structural changes in lungs of asthma mouse models of different severity |
title_full | Phase-contrast computed tomography for quantification of structural changes in lungs of asthma mouse models of different severity |
title_fullStr | Phase-contrast computed tomography for quantification of structural changes in lungs of asthma mouse models of different severity |
title_full_unstemmed | Phase-contrast computed tomography for quantification of structural changes in lungs of asthma mouse models of different severity |
title_short | Phase-contrast computed tomography for quantification of structural changes in lungs of asthma mouse models of different severity |
title_sort | phase-contrast computed tomography for quantification of structural changes in lungs of asthma mouse models of different severity |
topic | Short Communications |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4489538/ https://www.ncbi.nlm.nih.gov/pubmed/26134818 http://dx.doi.org/10.1107/S1600577515006177 |
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