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Establishment of a chronic obstructive pulmonary disease mouse model based on the elapsed time after LPS intranasal instillation

Chronic obstructive pulmonary disease (COPD) was the 3(rd) leading cause of death in 2012 worldwide. It is particularly severe in the elderly, who are at risk of death by coughing, mucous hypersecretion, and finally breathlessness. Recently, anti-COPD drug development has increased, and many animal...

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Autores principales: Lee, Soon-Young, Cho, Jin-Ho, Cho, Seung Sik, Bae, Chun-Sik, Kim, Gye-Yeop, Park, Dae-Hun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korean Association for Laboratory Animal Science 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5876158/
https://www.ncbi.nlm.nih.gov/pubmed/29628971
http://dx.doi.org/10.5625/lar.2018.34.1.1
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author Lee, Soon-Young
Cho, Jin-Ho
Cho, Seung Sik
Bae, Chun-Sik
Kim, Gye-Yeop
Park, Dae-Hun
author_facet Lee, Soon-Young
Cho, Jin-Ho
Cho, Seung Sik
Bae, Chun-Sik
Kim, Gye-Yeop
Park, Dae-Hun
author_sort Lee, Soon-Young
collection PubMed
description Chronic obstructive pulmonary disease (COPD) was the 3(rd) leading cause of death in 2012 worldwide. It is particularly severe in the elderly, who are at risk of death by coughing, mucous hypersecretion, and finally breathlessness. Recently, anti-COPD drug development has increased, and many animal screening systems have been studied. Tobacco smoke animal models are the best known animal screening system, but have several preparation requirements, such as a tobacco smoke generator and a separate facility to prevent smoke release. Accordingly, we evaluated the properties of a lipopolysaccharide (LPS) murine model for COPD screening and the effect of the time elapsed from 0 to 72 hr after LPS intranasal instillation on various biomarkers of COPD severity, such as WBC and neutrophils in bronchoalveolar fluid (BALF), IgE in serum, histopathology in the lung, and cytokines (IL-8, TNF-α, IFN-γ, and TGF-β) and chemokines (CCL-2, CXCL1, CXCL9, CXCL10, and CXCL11) in the respiratory system. Although from 48 hr after LPS treatment several factors which could be evaluated as biomarkers for COPD establishment such as WBC and neutrophil in BALF, IgE in serum, cytokines (IL-8, TNF-α, and IFN-γ), and chemokines (CCL-2, CXCL1, CXCL9, CXCL10, and CXCL11) increased at 72 hr the increment of important factors for COPD establishment such as IgE, fibrosis in the lung, and cytokines (IL-8, TNF-α, and IFN-γ) was more clear. Based on our results, we concluded that the optimal time after LPS intranasal instillation is 72 hr.
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spelling pubmed-58761582018-04-06 Establishment of a chronic obstructive pulmonary disease mouse model based on the elapsed time after LPS intranasal instillation Lee, Soon-Young Cho, Jin-Ho Cho, Seung Sik Bae, Chun-Sik Kim, Gye-Yeop Park, Dae-Hun Lab Anim Res Original Article Chronic obstructive pulmonary disease (COPD) was the 3(rd) leading cause of death in 2012 worldwide. It is particularly severe in the elderly, who are at risk of death by coughing, mucous hypersecretion, and finally breathlessness. Recently, anti-COPD drug development has increased, and many animal screening systems have been studied. Tobacco smoke animal models are the best known animal screening system, but have several preparation requirements, such as a tobacco smoke generator and a separate facility to prevent smoke release. Accordingly, we evaluated the properties of a lipopolysaccharide (LPS) murine model for COPD screening and the effect of the time elapsed from 0 to 72 hr after LPS intranasal instillation on various biomarkers of COPD severity, such as WBC and neutrophils in bronchoalveolar fluid (BALF), IgE in serum, histopathology in the lung, and cytokines (IL-8, TNF-α, IFN-γ, and TGF-β) and chemokines (CCL-2, CXCL1, CXCL9, CXCL10, and CXCL11) in the respiratory system. Although from 48 hr after LPS treatment several factors which could be evaluated as biomarkers for COPD establishment such as WBC and neutrophil in BALF, IgE in serum, cytokines (IL-8, TNF-α, and IFN-γ), and chemokines (CCL-2, CXCL1, CXCL9, CXCL10, and CXCL11) increased at 72 hr the increment of important factors for COPD establishment such as IgE, fibrosis in the lung, and cytokines (IL-8, TNF-α, and IFN-γ) was more clear. Based on our results, we concluded that the optimal time after LPS intranasal instillation is 72 hr. Korean Association for Laboratory Animal Science 2018-03 2018-03-22 /pmc/articles/PMC5876158/ /pubmed/29628971 http://dx.doi.org/10.5625/lar.2018.34.1.1 Text en Copyright © 2018 Korean Association for Laboratory Animal Science http://creativecommons.org/licenses/by-nc/3.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Lee, Soon-Young
Cho, Jin-Ho
Cho, Seung Sik
Bae, Chun-Sik
Kim, Gye-Yeop
Park, Dae-Hun
Establishment of a chronic obstructive pulmonary disease mouse model based on the elapsed time after LPS intranasal instillation
title Establishment of a chronic obstructive pulmonary disease mouse model based on the elapsed time after LPS intranasal instillation
title_full Establishment of a chronic obstructive pulmonary disease mouse model based on the elapsed time after LPS intranasal instillation
title_fullStr Establishment of a chronic obstructive pulmonary disease mouse model based on the elapsed time after LPS intranasal instillation
title_full_unstemmed Establishment of a chronic obstructive pulmonary disease mouse model based on the elapsed time after LPS intranasal instillation
title_short Establishment of a chronic obstructive pulmonary disease mouse model based on the elapsed time after LPS intranasal instillation
title_sort establishment of a chronic obstructive pulmonary disease mouse model based on the elapsed time after lps intranasal instillation
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5876158/
https://www.ncbi.nlm.nih.gov/pubmed/29628971
http://dx.doi.org/10.5625/lar.2018.34.1.1
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