Massa Christopher B, Groves Angela M, Jaggernauth Smita U, Laskin Debra L, Gow Andrew J
Department of Pharmacology and Toxicology, The Ernest Mario School of Pharmacy, Rutgers University, Piscataway, New Jersey, United States of America.
PLoS Comput Biol. 2017 Aug 24;13(8):e1005570. doi: 10.1371/journal.pcbi.1005570. eCollection 2017 Aug.
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.
衰老和慢性炎症都会导致肺部发生复杂的结构和生化改变,这些改变会影响呼吸功能。缺乏表面活性蛋白D(Sftpd)的小鼠会出现与年龄相关的进行性肺部病变,其特征为组织破坏/重塑、泡沫巨噬细胞积聚以及表面活性剂成分改变。本研究旨在使用计算模型,将正常衰老和慢性炎症中观察到的组织结构变化与肺力学改变联系起来。衰老和Sftpd基因敲除小鼠的肺功能改变是通过将简单力学模型拟合到呼吸阻抗数据(Zrs)推断出来的,然而,由于同时存在多种并存的病理生理过程,解释变得复杂。与逆向建模方法不同,本研究使用实验测量的模拟来概括衰老和炎症如何改变Zrs。对8周、27周和80周龄的C57BL6/J小鼠和同基因Sftpd基因敲除小鼠进行了组织学和力学测量(每组n = 8)。基于已发表的气道形态测量数据开发了解剖学计算模型,并在0.5至20 Hz之间模拟Zrs。根据力学测量估计终末呼气压力依赖性气道口径和募集变化。使用粘弹性的恒相位模型模拟组织成分。在8周龄野生型小鼠中估计基线弹性分布,并根据弹性纤维组成、肺泡几何形状和表面活性剂组成的实验测量变化,对每种情况进行随机变化。权衡模型误差的减少与模型复杂性的增加,有助于识别机械病理学的基本特征及其对Zrs的贡献。使用最大似然法,结果表明肺募集的改变和弹性纤维密度的降低比明显的腺泡壁破坏更能预测气道开口处的力学改变。模型预测的PEEP依赖性肺募集缺陷与肺内衬液成分改变相关,与年龄或基因型无关。