在6岁的上气道几何结构中使用CFPD-HCD模型预测鼻喷雾疫苗液滴的运输、沉积和由此产生的免疫反应,以潜在地预防新冠肺炎。

IF 4.2 2区 工程技术 Q1 MECHANICS
Hamideh Hayati, Yu Feng, Xiaole Chen, Emily Kolewe, Catherine Fromen
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引用次数: 0

摘要

这项研究的重点是鼻内疫苗液滴对6岁女性鼻腔中富含血管紧张素转化酶2的区域,即嗅觉区域(OR)的运输、沉积和触发的免疫反应,以可能预防冠状病毒疾病19(新冠肺炎)。为了研究给药策略如何影响鼻用疫苗的效率,采用了一个经过验证的多尺度模型,即计算流体粒子动力学(CFPD)和宿主细胞动力学(HCD)模型。在不同喷雾锥角、初始液滴速度和成分的情况下,预测了液滴沉积分数、尺寸变化、停留时间、疫苗液滴覆盖的OR面积百分比以及触发的免疫系统反应。数值结果表明,液滴初始速度和成分对OR疫苗递送效率的影响可以忽略不计。相反,喷雾锥角会显著影响疫苗的递送效率。由于飞沫覆盖OR区域的百分比较低,本研究中调查的给药对触发免疫没有显著影响。为了提高鼻内疫苗预防新冠肺炎感染的有效性,有必要优化疫苗配方和给药策略,使疫苗液滴能够覆盖OR中更多的上皮细胞,以最大限度地减少SARS-CoV-2的可用受体数量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Prediction of transport, deposition, and resultant immune response of nasal spray vaccine droplets using a CFPD-HCD model in a 6-year-old upper airway geometry to potentially prevent COVID-19.

This study focuses on the transport, deposition, and triggered immune response of intranasal vaccine droplets to the angiotensin-converting-enzyme-2-rich region, i.e., the olfactory region (OR), in the nasal cavity of a 6-year-old female to possibly prevent corona virus disease 19 (COVID-19). To investigate how administration strategy can influence nasal vaccine efficiency, a validated multi-scale model, i.e., computational fluid-particle dynamics (CFPD) and host-cell dynamics (HCD) model, was employed. Droplet deposition fraction, size change, residence time, and the area percentage of OR covered by the vaccine droplets, and triggered immune system response were predicted with different spray cone angles, initial droplet velocities, and compositions. Numerical results indicate that droplet initial velocity and composition have negligible influences on the vaccine delivery efficiency to OR. In contrast, the spray cone angle can significantly impact the vaccine delivery efficiency. The triggered immunity was not significantly influenced by the administration investigated in this study due to the low percentage of OR area covered by the droplets. To enhance the effectiveness of the intranasal vaccine to prevent COVID-19 infection, it is necessary to optimize the vaccine formulation and administration strategy so that the vaccine droplets can cover more epithelial cells in OR to minimize the number of available receptors for SARS-CoV-2.

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来源期刊
CiteScore
7.50
自引率
32.30%
发文量
0
期刊介绍: Experimental and Computational Multiphase Flow is a peer-reviewed international academic journal that publishes research papers and significant review articles on multiphase flows. Focuses on transport phenomena of mass, momentum, and heat from theoretical, experimental, and computational perspectives. Publishes scholarly research papers, invited review articles, brief communications, letters, and comments on previously published papers. Covers a broad scope including interface interaction, multiphase dynamics, heat transfers, phase changes, and more. Fields of application include nuclear, chemical, petroleum, environmental, mineral, pharmaceutical, bio-mechanical, and mechanical engineering.
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