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SARS-CoV-2 感染与治疗模型。

A Model for SARS-CoV-2 Infection with Treatment.

机构信息

Department of Mathematics, K.L.S. College, Nawada, Magadh University, Bodh Gaya, Bihar 805110, India.

Department of Mathematics, Asansol Girls' College, Asansol-4, West Bengal 713304, India.

出版信息

Comput Math Methods Med. 2020 Sep 1;2020:1352982. doi: 10.1155/2020/1352982. eCollection 2020.

Abstract

The current emergence of coronavirus (SARS-CoV-2) puts the world in threat. The structural research on the receptor recognition by SARS-CoV-2 has identified the key interactions between SARS-CoV-2 spike protein and its host (epithelial cell) receptor, also known as angiotensin-converting enzyme 2 (ACE2). It controls both the cross-species and human-to-human transmissions of SARS-CoV-2. In view of this, we propose and analyze a mathematical model for investigating the effect of CTL responses over the viral mutation to control the viral infection when a postinfection immunostimulant drug (pidotimod) is administered at regular intervals. Dynamics of the system with and without impulses have been analyzed using the basic reproduction number. This study shows that the proper dosing interval and drug dose both are important to eradicate the viral infection.

摘要

当前,新型冠状病毒(SARS-CoV-2)的出现对全球构成了威胁。对 SARS-CoV-2 受体识别的结构研究确定了 SARS-CoV-2 刺突蛋白与其宿主(上皮细胞)受体之间的关键相互作用,也称为血管紧张素转化酶 2(ACE2)。它控制着 SARS-CoV-2 的跨物种和人与人之间的传播。鉴于此,我们提出并分析了一个数学模型,用于研究当定期给予感染后免疫刺激药物(匹多莫德)时,CTL 反应对病毒突变的影响,以控制病毒感染。使用基本繁殖数分析了有和没有脉冲的系统动力学。这项研究表明,适当的给药间隔和药物剂量对于消除病毒感染都很重要。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a8e0/7463400/e867ee0f71e0/CMMM2020-1352982.001.jpg

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