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Histologic and biochemical alterations predict pulmonary mechanical dysfunction in aging mice with chronic lung inflammation

Both aging and chronic inflammation produce complex structural and biochemical alterations to the lung known to impact work of breathing. Mice deficient in surfactant protein D (Sftpd) develop progressive age-related lung pathology characterized by tissue destruction/remodeling, accumulation of foam...

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Autores principales: Massa, Christopher B., Groves, Angela M., Jaggernauth, Smita U., Laskin, Debra L., Gow, Andrew J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5570219/
https://www.ncbi.nlm.nih.gov/pubmed/28837561
http://dx.doi.org/10.1371/journal.pcbi.1005570
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author Massa, Christopher B.
Groves, Angela M.
Jaggernauth, Smita U.
Laskin, Debra L.
Gow, Andrew J.
author_facet Massa, Christopher B.
Groves, Angela M.
Jaggernauth, Smita U.
Laskin, Debra L.
Gow, Andrew J.
author_sort Massa, Christopher B.
collection PubMed
description Both aging and chronic inflammation produce complex structural and biochemical alterations to the lung known to impact work of breathing. Mice deficient in surfactant protein D (Sftpd) develop progressive age-related lung pathology characterized by tissue destruction/remodeling, accumulation of foamy macrophages and alteration in surfactant composition. This study proposes to relate changes in tissue structure seen in normal aging and in chronic inflammation to altered lung mechanics using a computational model. Alterations in lung function in aging and Sftpd -/- mice have been inferred from fitting simple mechanical models to respiratory impedance data (Z(rs)), however interpretation has been confounded by the simultaneous presence of multiple coexisting pathophysiologic processes. In contrast to the inverse modeling approach, this study uses simulation from experimental measurements to recapitulate how aging and inflammation alter Z(rs). Histologic and mechanical measurements were made in C57BL6/J mice and congenic Sftpd-/- mice at 8, 27 and 80 weeks of age (n = 8/group). An anatomic computational model based on published airway morphometry was developed and Z(rs) was simulated between 0.5 and 20 Hz. End expiratory pressure dependent changes in airway caliber and recruitment were estimated from mechanical measurements. Tissue elements were simulated using the constant phase model of viscoelasticity. Baseline elastance distribution was estimated in 8-week-old wild type mice, and stochastically varied for each condition based on experimentally measured alteration in elastic fiber composition, alveolar geometry and surfactant composition. Weighing reduction in model error against increasing model complexity allowed for identification of essential features underlying mechanical pathology and their contribution to Z(rs). Using a maximum likelihood approach, alteration in lung recruitment and diminished elastic fiber density were shown predictive of mechanical alteration at airway opening, to a greater extent than overt acinar wall destruction. Model-predicted deficits in PEEP-dependent lung recruitment correlate with altered lung lining fluid composition independent of age or genotype.
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spelling pubmed-55702192017-09-09 Histologic and biochemical alterations predict pulmonary mechanical dysfunction in aging mice with chronic lung inflammation Massa, Christopher B. Groves, Angela M. Jaggernauth, Smita U. Laskin, Debra L. Gow, Andrew J. PLoS Comput Biol Research Article Both aging and chronic inflammation produce complex structural and biochemical alterations to the lung known to impact work of breathing. Mice deficient in surfactant protein D (Sftpd) develop progressive age-related lung pathology characterized by tissue destruction/remodeling, accumulation of foamy macrophages and alteration in surfactant composition. This study proposes to relate changes in tissue structure seen in normal aging and in chronic inflammation to altered lung mechanics using a computational model. Alterations in lung function in aging and Sftpd -/- mice have been inferred from fitting simple mechanical models to respiratory impedance data (Z(rs)), however interpretation has been confounded by the simultaneous presence of multiple coexisting pathophysiologic processes. In contrast to the inverse modeling approach, this study uses simulation from experimental measurements to recapitulate how aging and inflammation alter Z(rs). Histologic and mechanical measurements were made in C57BL6/J mice and congenic Sftpd-/- mice at 8, 27 and 80 weeks of age (n = 8/group). An anatomic computational model based on published airway morphometry was developed and Z(rs) was simulated between 0.5 and 20 Hz. End expiratory pressure dependent changes in airway caliber and recruitment were estimated from mechanical measurements. Tissue elements were simulated using the constant phase model of viscoelasticity. Baseline elastance distribution was estimated in 8-week-old wild type mice, and stochastically varied for each condition based on experimentally measured alteration in elastic fiber composition, alveolar geometry and surfactant composition. Weighing reduction in model error against increasing model complexity allowed for identification of essential features underlying mechanical pathology and their contribution to Z(rs). Using a maximum likelihood approach, alteration in lung recruitment and diminished elastic fiber density were shown predictive of mechanical alteration at airway opening, to a greater extent than overt acinar wall destruction. Model-predicted deficits in PEEP-dependent lung recruitment correlate with altered lung lining fluid composition independent of age or genotype. Public Library of Science 2017-08-24 /pmc/articles/PMC5570219/ /pubmed/28837561 http://dx.doi.org/10.1371/journal.pcbi.1005570 Text en © 2017 Massa et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Massa, Christopher B.
Groves, Angela M.
Jaggernauth, Smita U.
Laskin, Debra L.
Gow, Andrew J.
Histologic and biochemical alterations predict pulmonary mechanical dysfunction in aging mice with chronic lung inflammation
title Histologic and biochemical alterations predict pulmonary mechanical dysfunction in aging mice with chronic lung inflammation
title_full Histologic and biochemical alterations predict pulmonary mechanical dysfunction in aging mice with chronic lung inflammation
title_fullStr Histologic and biochemical alterations predict pulmonary mechanical dysfunction in aging mice with chronic lung inflammation
title_full_unstemmed Histologic and biochemical alterations predict pulmonary mechanical dysfunction in aging mice with chronic lung inflammation
title_short Histologic and biochemical alterations predict pulmonary mechanical dysfunction in aging mice with chronic lung inflammation
title_sort histologic and biochemical alterations predict pulmonary mechanical dysfunction in aging mice with chronic lung inflammation
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5570219/
https://www.ncbi.nlm.nih.gov/pubmed/28837561
http://dx.doi.org/10.1371/journal.pcbi.1005570
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