免疫状态和细胞因子谱作为COVID-19冠状病毒感染患者疾病严重程度和重症监护效果的预测指标

V.F. Sadykov, R. Poltavtseva, A. Chaplygina, N. Bobkova
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引用次数: 0

摘要

新型冠状病毒sars - cavirv -2引起的大流行席卷全球,然而,尽管各国制定了治疗冠状病毒感染的战略方向,并进行了深入研究,但仍未找到治疗这一严重病理的有效方法。抗COVID-19药物清单实际上不使用影响肾素-血管紧张素系统的化合物,而ACE2冠状病毒结合受体在该系统的功能中起着核心作用。据推测,该病毒引起ACE2受体密度的降低,导致RAS活性的破坏。本文综述了免疫系统对SARS-CoV-2病毒感染的反应的最新研究,描述了适应性和先天细胞机制,并描述了严重COVID-19的一些预测因素。为了撰写这篇综述,我们在PubMed数据库和科学电子图书馆eLibrary.ru中进行了搜索。文章的选择是人工进行的,主要目的是综合数据并描述SARS-CoV-2对肾素-血管紧张素系统的影响机制,从而激活适应性和先天免疫反应。本次审查包括53份出版物,包括俄罗斯联邦卫生部的方法学建议、正在进行的临床试验数据和专利。来自选定的科学来源的数据被结构化和可视化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Immune status and cytokine spectrum as predictive signs of the severity of the disease and the effectiveness of intensive care in patients with coronavirus infection COVID-19
The pandemic caused by a new strain of SARS-CоV-2 coronavirus has swept the whole world, however, despite the developed strategic directions for the treatment of coronavirus infection and intensive research in all countries, effective methods for treating this severe pathology have not yet been created. The list of drugs against COVID-19 practically does not use compounds that affect the renin-angiotensin system, in the functioning of which the ACE2 coronavirus binding receptor plays a central role. It is assumed that the virus, causing a decrease in the density of ACE2 receptors, leads to disruption of RAS activity. This review presents current research on the response of the immune system to infection with the SARS-CoV-2 virus, describes adaptive and innate cellular mechanisms, and describes a number of predictors of severe COVID-19. To write this review, a search was made in the PubMed database and the scientific electronic library eLibrary.ru. The selection of articles was carried out manually with the main goal of synthesizing data and describing the mechanisms of influence of SARS-CoV-2 on the renin-angiotensin system, and, as a result, on the activation of the adaptive and innate immune response. This review includes 53 publications, including methodological recommendations of the Ministry of Health of the Russian Federation, data from ongoing clinical trials and patents. Data from selected scientific sources were structured and visualized.
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