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计算模型预测高血压中适应性不良主动脉重塑的免疫机械机制。

Computational Modeling Predicts Immuno-Mechanical Mechanisms of Maladaptive Aortic Remodeling in Hypertension.

作者信息

Latorre Marcos, Bersi Matthew R, Humphrey Jay D

机构信息

Department of Biomedical Engineering Yale University, New Haven, CT, USA.

Department of Biomedical Engineering Vanderbilt University, Nashville, TN, USA.

出版信息

Int J Eng Sci. 2019 Aug;141:35-46. doi: 10.1016/j.ijengsci.2019.05.014. Epub 2019 May 31.

Abstract

Uncontrolled hypertension is a major risk factor for myriad cardiovascular diseases. Among its many effects, hypertension increases central artery stiffness which in turn is both an initiator and indicator of disease. Despite extensive clinical, animal, and basic science studies, the biochemomechanical mechanisms by which hypertension drives aortic stiffening remain unclear. In this paper, we show that a new computational model of aortic growth and remodeling can capture differential effects of induced hypertension on the thoracic and abdominal aorta in a common mouse model of disease. Because the simulations treat the aortic wall as a constrained mixture of different constituents having different material properties and rates of turnover, one can gain increased insight into underlying constituent-level mechanisms of aortic remodeling. Model results suggest that the aorta can mechano-adapt locally to blood pressure elevation in the absence of marked inflammation, but large increases in inflammation drive a persistent maladaptive phenotype characterized primarily by adventitial fibrosis. Moreover, this fibrosis appears to occur via a marked increase in the rate of deposition of collagen having different material properties in the absence of a compensatory increase in the rate of matrix degradation. Controlling inflammation thus appears to be key to reducing fibrosis, but therapeutic strategies should not compromise the proteolytic activity of the wall that is essential to mechanical homeostasis.

摘要

未控制的高血压是多种心血管疾病的主要危险因素。在其众多影响中,高血压会增加中心动脉僵硬度,而这反过来又是疾病的起始因素和指标。尽管进行了广泛的临床、动物和基础科学研究,但高血压导致主动脉硬化的生物化学机械机制仍不清楚。在本文中,我们表明,一种新的主动脉生长和重塑计算模型可以在一种常见的疾病小鼠模型中捕捉到诱导性高血压对胸主动脉和腹主动脉的不同影响。由于模拟将主动脉壁视为具有不同材料特性和更新率的不同成分的约束混合物,因此可以更深入地了解主动脉重塑的潜在成分水平机制。模型结果表明,在没有明显炎症的情况下,主动脉可以在局部对血压升高进行机械适应,但炎症的大幅增加会导致一种持续的适应不良表型,其主要特征是外膜纤维化。此外,这种纤维化似乎是在基质降解速率没有代偿性增加的情况下,通过具有不同材料特性的胶原蛋白沉积速率显著增加而发生的。因此,控制炎症似乎是减少纤维化的关键,但治疗策略不应损害对机械稳态至关重要的血管壁蛋白水解活性。

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