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携带甲型流感病毒的飞沫的肺部气溶胶动力学及其引发的免疫系统反应:一项计算机模拟研究。

Lung Aerosol Dynamics of Airborne Influenza A Virus-Laden Droplets and the Resultant Immune System Responses: An In Silico Study.

作者信息

Haghnegahdar Ahmadreza, Zhao Jianan, Feng Yu

机构信息

School of Chemical Engineering, Oklahoma State University, Stillwater, OK, 74078.

出版信息

J Aerosol Sci. 2019 Aug;134:34-55. doi: 10.1016/j.jaerosci.2019.04.009. Epub 2019 Apr 24.

Abstract

Influenza A Virus (IAV) replications start from the deposition of inhaled virus-laden droplets on the epithelial cells in the pulmonary tracts. In order to understand the local deposition patterns and within-host dynamics of infectious aerosols, accurate information of high-resolution imaging capabilities, as well as real-time flow cytometry analysis, are required for tracking infected cells, virus agents, and immune system responses. However, clinical and animal studies are in deficit to meet the above-mentioned demands, due to their limited operational flexibility and imaging resolution. Therefore, this study developed an experimentally validated multiscale epidemiological computational model, i.e., the Computational Fluid-Particle Dynamics (CFPD) plus Host Cell Dynamics (HCD) model, to predict the transport and deposition of the low-strain IAV-laden droplets, as well as the resultant regional immune system responses. The hygroscopic growth and shrinkage of IAV-laden droplets were accurately modeled. The subject-specific respiratory system was discretized by generating the new polyhedral-core mesh. By simulating both mouth and nasal breathing scenarios, the inhalations of isotonic IAV-laden droplets with three different compositions were achieved. It is the first time that parametric analysis was performed using the multiscale model on how different exposure conditions can influence the virus aerodynamics in the lung and the subsequent immune system responses. Numerical results show a higher viral accretion followed by a faster immune system response in the supraglottic region when droplets with the higher salt concentration were inhaled. Consequently, more severe symptoms and longer recovery are expected at the pharynx. Furthermore, local deposition maps of IAV-laden droplets and post-deposition infection dynamics provide informative and direct evidence which significantly enhance the fundamental understanding of the underlying mechanisms for upper airway and lower airway infections.

摘要

甲型流感病毒(IAV)的复制始于吸入的含病毒飞沫沉积在呼吸道上皮细胞上。为了了解感染性气溶胶的局部沉积模式和宿主体内动态,需要高分辨率成像能力的准确信息以及实时流式细胞术分析,以追踪受感染细胞、病毒因子和免疫系统反应。然而,临床和动物研究在满足上述要求方面存在不足,因为它们的操作灵活性和成像分辨率有限。因此,本研究开发了一种经过实验验证的多尺度流行病学计算模型,即计算流体-颗粒动力学(CFPD)加宿主细胞动力学(HCD)模型,以预测低毒株IAV载液滴的传输和沉积,以及由此产生的区域免疫系统反应。对IAV载液滴的吸湿生长和收缩进行了精确建模。通过生成新的多面体核心网格离散化个体特异性呼吸系统。通过模拟口腔和鼻腔呼吸场景,实现了吸入三种不同成分的等渗IAV载液滴。这是首次使用多尺度模型对不同暴露条件如何影响肺部病毒空气动力学和随后的免疫系统反应进行参数分析。数值结果表明,吸入盐浓度较高的液滴时,声门上区域的病毒积聚更高,随后免疫系统反应更快。因此,预计咽部会出现更严重的症状和更长的恢复时间。此外,IAV载液滴的局部沉积图和沉积后感染动态提供了丰富而直接的证据,显著增强了对上呼吸道和下呼吸道感染潜在机制的基本理解。

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