Your browser doesn't support javascript.
loading
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.
Afiliação
  • Massa CB; Department of Pharmacology and Toxicology, The Ernest Mario School of Pharmacy, Rutgers University, Piscataway, New Jersey, United States of America.
  • Groves AM; Department of Pharmacology and Toxicology, The Ernest Mario School of Pharmacy, Rutgers University, Piscataway, New Jersey, United States of America.
  • Jaggernauth SU; Department of Pharmacology and Toxicology, The Ernest Mario School of Pharmacy, Rutgers University, Piscataway, New Jersey, United States of America.
  • Laskin DL; Department of Pharmacology and Toxicology, The Ernest Mario School of Pharmacy, Rutgers University, Piscataway, New Jersey, United States of America.
  • Gow AJ; Department of Pharmacology and Toxicology, The Ernest Mario School of Pharmacy, Rutgers University, Piscataway, New Jersey, United States of America.
PLoS Comput Biol ; 13(8): e1005570, 2017 Aug.
Article em En | MEDLINE | ID: mdl-28837561
ABSTRACT
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 (Zrs), 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 Zrs. 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 Zrs 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 Zrs. 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.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Envelhecimento / Inflamação / Pulmão / Pneumopatias / Modelos Biológicos Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Animals Idioma: En Revista: PLoS Comput Biol Assunto da revista: BIOLOGIA / INFORMATICA MEDICA Ano de publicação: 2017 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Envelhecimento / Inflamação / Pulmão / Pneumopatias / Modelos Biológicos Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Animals Idioma: En Revista: PLoS Comput Biol Assunto da revista: BIOLOGIA / INFORMATICA MEDICA Ano de publicação: 2017 Tipo de documento: Article País de afiliação: Estados Unidos