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Factors influencing the assessment of lung function in mice with influenza‐induced lung disease
Please cite this paper as: Larcombe et al. (2012) Factors influencing the assessment of lung function in mice with influenza‐induced lung disease. Influenza and Other Respiratory Viruses DOI: 10.1111/irv.12034. Background The constant‐phase model (CPM) is commonly fit to respiratory system input im...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Blackwell Publishing Ltd
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4634292/ https://www.ncbi.nlm.nih.gov/pubmed/23134074 http://dx.doi.org/10.1111/irv.12034 |
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author | Larcombe, Alexander N. Zosky, Graeme R. Thamrin, Cindy Bozanich, Elizabeth M. Hantos, Zoltán Sly, Peter D. |
author_facet | Larcombe, Alexander N. Zosky, Graeme R. Thamrin, Cindy Bozanich, Elizabeth M. Hantos, Zoltán Sly, Peter D. |
author_sort | Larcombe, Alexander N. |
collection | PubMed |
description | Please cite this paper as: Larcombe et al. (2012) Factors influencing the assessment of lung function in mice with influenza‐induced lung disease. Influenza and Other Respiratory Viruses DOI: 10.1111/irv.12034. Background The constant‐phase model (CPM) is commonly fit to respiratory system input impedance (Z (rs)) to estimate lung mechanics. Driving signal frequencies and the method of model fitting may influence the results, especially in cases of severe lung disease or under severe bronchoconstriction. Objective To illustrate the effects of different CPM fits to Z (rs) data using a mouse model of influenza‐induced lung disease. Methods BALB/c mice infected with influenza (or control) were challenged with methacholine. The CPM was fitted to Z (rs), measured between 0·25 and 19·625 Hz, using both unweighted and weighted fits. The effect of different lowest frequencies was assessed. Results and Conclusions For influenza‐infected mice, the unweighted fit was poor, and airway resistance (R (aw)) was often biologically impossible. The weighted fit provided more realistic estimates of R (aw). Different model fits and minimal frequencies had little effect on tissue mechanics. |
format | Online Article Text |
id | pubmed-4634292 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Blackwell Publishing Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-46342922015-12-01 Factors influencing the assessment of lung function in mice with influenza‐induced lung disease Larcombe, Alexander N. Zosky, Graeme R. Thamrin, Cindy Bozanich, Elizabeth M. Hantos, Zoltán Sly, Peter D. Influenza Other Respir Viruses Part 1 Please cite this paper as: Larcombe et al. (2012) Factors influencing the assessment of lung function in mice with influenza‐induced lung disease. Influenza and Other Respiratory Viruses DOI: 10.1111/irv.12034. Background The constant‐phase model (CPM) is commonly fit to respiratory system input impedance (Z (rs)) to estimate lung mechanics. Driving signal frequencies and the method of model fitting may influence the results, especially in cases of severe lung disease or under severe bronchoconstriction. Objective To illustrate the effects of different CPM fits to Z (rs) data using a mouse model of influenza‐induced lung disease. Methods BALB/c mice infected with influenza (or control) were challenged with methacholine. The CPM was fitted to Z (rs), measured between 0·25 and 19·625 Hz, using both unweighted and weighted fits. The effect of different lowest frequencies was assessed. Results and Conclusions For influenza‐infected mice, the unweighted fit was poor, and airway resistance (R (aw)) was often biologically impossible. The weighted fit provided more realistic estimates of R (aw). Different model fits and minimal frequencies had little effect on tissue mechanics. Blackwell Publishing Ltd 2012-11-08 2013-11 /pmc/articles/PMC4634292/ /pubmed/23134074 http://dx.doi.org/10.1111/irv.12034 Text en © 2012 John Wiley & Sons Ltd |
spellingShingle | Part 1 Larcombe, Alexander N. Zosky, Graeme R. Thamrin, Cindy Bozanich, Elizabeth M. Hantos, Zoltán Sly, Peter D. Factors influencing the assessment of lung function in mice with influenza‐induced lung disease |
title | Factors influencing the assessment of lung function in mice with influenza‐induced lung disease |
title_full | Factors influencing the assessment of lung function in mice with influenza‐induced lung disease |
title_fullStr | Factors influencing the assessment of lung function in mice with influenza‐induced lung disease |
title_full_unstemmed | Factors influencing the assessment of lung function in mice with influenza‐induced lung disease |
title_short | Factors influencing the assessment of lung function in mice with influenza‐induced lung disease |
title_sort | factors influencing the assessment of lung function in mice with influenza‐induced lung disease |
topic | Part 1 |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4634292/ https://www.ncbi.nlm.nih.gov/pubmed/23134074 http://dx.doi.org/10.1111/irv.12034 |
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