The Inflammatory Factors Associated with Disease Severity to Predict COVID-19 Progression
The Inflammatory Factors Associated with Disease Severity to Predict COVID-19 Progression
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与疾病严重程度相关的炎症因素可预测 COVID-19 的进展
DOI：
10.4049/jimmunol.2001327
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发表时间：
2021-04-01
影响因子：
4.4
通讯作者：
Zhang, Dongxin
中科院分区：
文献类型：
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作者：
Huang, Wei;Li, Mei;Zhang, Dongxin
2019年冠状病毒病（COVID-19）与免疫失调和细胞因子风暴有关。探索Covid-19患者的免疫炎症特征对于揭示发病机理和预测进展至关重要。在这项研究中，COVID-19患者显示CD3（+），CD4（+）和CD8+ T细胞降低，但循环中嗜中性粒细胞增加，表现出上调上调的中性粒细胞与淋巴细胞和中性粒细胞与CD8+ T细胞的比率。 IL-6, TNF-alpha, IL-1 beta, IL-18, IL-12/IL-23p40, IL- 10, Tim-3, IL-8, neutrophil extracellular trap-related proteinase 3, and S100A8/A9 were elevated, whereas IFN-gamma and C-type lectin domain family 9 member A (clec9A) were decreased in与健康对照组相比，COVID-19患者。与流感患者相比，关键的CoVID-19患者以及CarcinoMbryonic AG，IL-8和S100A8/A9可以识别TNF-Alpha，IL-18，IL-18，IL-12/IL-23P40，IL-8，IL-8，S100A8/A9和TIM-3的表达显着增加。流感。此外，与中度患者相比，严重/关键患者的支气管肺泡灌洗液中，IL-6，IL-8，IL-1β，TNF-α，蛋白酶3和S100A8/A9增加了CD4（+）T细胞，CD8（+）T细胞，CD8（+）T细胞，B细胞和NK细胞。有趣的是，发现了支气管肺泡IL-6，癌症肉眼AG，IL-8，S100A8/A9和蛋白酶3可以预测COVID-19的严重程度，并可以作为预测COVID-19的潜在生物标志物，以预测COVID-19的进展和潜在的靶靶标在COVID COVID-COVID-COVID-19的治疗疗法中。
Key Points COVID-19 is associated with immune-inflammation dysregulation in blood and lung. CEA, IL-8, and S100A8/A9 in serum were useful for differentiating COVID-19 from influenza. IL-6, CEA, IL-8, S100A8/A9, and proteinase 3 in BALF are predictive of COVID-19 severity. Coronavirus disease 2019 (COVID-19) is associated with immune dysregulation and cytokine storm. Exploring the immune-inflammatory characteristics of COVID-19 patients is essential to reveal pathogenesis and predict progression. In this study, COVID-19 patients showed decreased CD3+, CD4+, and CD8+ T cells but increased neutrophils in circulation, exhibiting upregulated neutrophil-to-lymphocyte and neutrophil-to-CD8+ T cell ratio. IL-6, TNF-α, IL-1β, IL-18, IL-12/IL-23p40, IL-10, Tim-3, IL-8, neutrophil extracellular trap–related proteinase 3, and S100A8/A9 were elevated, whereas IFN-γ and C-type lectin domain family 9 member A (clec9A) were decreased in COVID-19 patients compared with healthy controls. When compared with influenza patients, the expressions of TNF-α, IL-18, IL-12/IL-23p40, IL-8, S100A8/A9 and Tim-3 were significantly increased in critical COVID-19 patients, and carcinoembryonic Ag, IL-8, and S100A8/A9 could serve as clinically available hematologic indexes for identifying COVID-19 from influenza. Moreover, IL-6, IL-8, IL-1β, TNF-α, proteinase 3, and S100A8/A9 were increased in bronchoalveolar lavage fluid of severe/critical patients compared with moderate patients, despite decreased CD4+ T cells, CD8+ T cells, B cells, and NK cells. Interestingly, bronchoalveolar IL-6, carcinoembryonic Ag, IL-8, S100A8/A9, and proteinase 3 were found to be predictive of COVID-19 severity and may serve as potential biomarkers for predicting COVID-19 progression and potential targets in therapeutic intervention of COVID-19.