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病毒感染期间细胞因子风暴的量化。

Quantification of Cytokine Storms During Virus Infections.

机构信息

College of Resources, Sichuan Agricultural University, Chengdu, China.

Chengdu KangHong Pharmaceutical Group Comp. Ltd., Chengdu, China.

出版信息

Front Immunol. 2021 May 17;12:659419. doi: 10.3389/fimmu.2021.659419. eCollection 2021.

DOI:10.3389/fimmu.2021.659419
PMID:34079547
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8165266/
Abstract

Highly pathogenic virus infections usually trigger cytokine storms, which may have adverse effects on vital organs and result in high mortalities. The two cytokines interleukin (IL)-4 and interferon (IFN)-γ play key roles in the generation and regulation of cytokine storms. However, it is still unclear whether the cytokine with the largest induction amplitude is the same under different virus infections. It is unknown which is the most critical and whether there are any mathematical formulas that can fit the changing rules of cytokines. Three coronaviruses (SARS-CoV, MERS-CoV, and SARS-CoV-2), three influenza viruses (2009H1N1, H5N1 and H7N9), Ebola virus, human immunodeficiency virus, dengue virus, Zika virus, West Nile virus, hepatitis B virus, hepatitis C virus, and enterovirus 71 were included in this analysis. We retrieved the cytokine fold change (FC), viral load, and clearance rate data from these highly pathogenic virus infections in humans and analyzed the correlations among them. Our analysis showed that interferon-inducible protein (IP)-10, IL-6, IL-8 and IL-17 are the most common cytokines with the largest induction amplitudes. Equations were obtained: the maximum induced cytokine (max) FC = IFN-γ FC × (IFN-γ FC/IL-4 FC) (if IFN-γ FC/IL-4 FC > 1); max FC = IL-4 FC (if IFN-γ FC/IL-4 FC < 1). For IFN-γ-inducible infections, 1.30 × log2 (IFN-γ FC) = log10 (viral load) - 2.48 - 2.83 × (clearance rate). The clinical relevance of cytokines and their antagonists is also discussed.

摘要

高致病性病毒感染通常会引发细胞因子风暴,这可能对重要器官产生不利影响,并导致高死亡率。两种细胞因子白细胞介素(IL)-4 和干扰素(IFN)-γ 在细胞因子风暴的产生和调节中发挥关键作用。然而,在不同的病毒感染下,诱导幅度最大的细胞因子是否相同尚不清楚。也不知道哪个是最关键的,是否有任何数学公式可以拟合细胞因子的变化规律。本研究纳入了三种冠状病毒(SARS-CoV、MERS-CoV 和 SARS-CoV-2)、三种流感病毒(2009H1N1、H5N1 和 H7N9)、埃博拉病毒、人类免疫缺陷病毒、登革热病毒、寨卡病毒、西尼罗河病毒、乙型肝炎病毒、丙型肝炎病毒和肠道病毒 71。我们从人类的这些高致病性病毒感染中检索了细胞因子倍数变化(FC)、病毒载量和清除率数据,并分析了它们之间的相关性。我们的分析表明,干扰素诱导蛋白(IP)-10、IL-6、IL-8 和 IL-17 是最常见的诱导幅度最大的细胞因子。得到了以下方程:最大诱导细胞因子(max)FC = IFN-γ FC ×(IFN-γ FC/IL-4 FC)(如果 IFN-γ FC/IL-4 FC > 1);max FC = IL-4 FC(如果 IFN-γ FC/IL-4 FC < 1)。对于 IFN-γ 诱导的感染,1.30 × log2(IFN-γ FC)= log10(病毒载量)-2.48-2.83 ×(清除率)。还讨论了细胞因子及其拮抗剂的临床相关性。

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