您当前的位置: > 详细浏览

2019-novel coronavirus (2019-nCoV) infections trigger an exaggerated cytokine response aggravating lung injury

摘要: 最近,在中国武汉爆发了肺炎病例,由一种名为2019-CoV的新型冠状病毒引起。我们之前的研究中,根据中国深圳的12例2019-nCoV感染患者的临床特征,所有病例均患有肺炎,一半病例发展为急性呼吸窘迫综合征(ARDS)。本文中,我们针对这12例患者的血浆因子表达谱进行了研究。我们测试了2019-nCoV感染患者血浆中的48个因子的表达,其中38个因子与健康个体相比显着升高;2019-nCoV感染的重症患者血浆中的高细胞因子血症水平显著低于A型流感病毒H7N9感染患者,而略高于细菌感染患者。在这38个细胞因子中,有17个与2019-CoV病毒载量相关,其中的15个(M-CSF,IL-10,IFN-α2,IL-17,IL-4,IP-10,IL-7,IL-1受体拮抗剂,G-CSF,IL-12 (p40),IFN-γ,IL-1α,IL-2,HGF和PDGF-BB)与肺损伤Murray评分高度相关,可用来预测2019-nCoV感染患者的疾病严重程度。我们的研究结果表明,这15种高细胞因子可能是衡量2019-nCoV感染患者疾病严重程度的潜在生物标志物,影响这些信号传递介质的因子可能是针对新型2019-nCoV大流行的潜在药物。

英文摘要: A recent outbreak of pneumonia in Wuhan, China was caused by 2019 novel coronavirus (2019-nCoV). Here we reported 12 patients with 2019-nCoV infections in Shenzhen, China; all of them developed pneumonia and half developed acute respiratory distress syndrome (ARDS). We demonstrated the plasma cytokine profiles of these 12 patients. Thirty-eight out of 48 cytokines measured in the plasmas of 2019-nCoV infected patients were significantly elevated compared to healthy individuals. Seventeen cytokines were linked to 2019-nCoV load. Fifteen cytokines, M-CSF, IL-10, IFN-2, IL-17, IL-4, IP-10, IL-7, IL-1ra, G-CSF, IL-12, IFN-γ, IL-1, IL-2, HGF, and PDGF-BB, were strongly associated with lung injury Murray score, and could predict disease severity of 2019-nCoV infections according to area under the curve (AUC) of the receiver-operating characteristics (ROC) calculations. Our results suggest that 2019-nCoV infections trigger extensive changes in a wide array of cytokines, some of these cytokines could be potential biomarkers of disease severity of 2019-nCoV infections. These findings improve our understanding of the immunopathologic mechanisms of this emerging and still evolving disease and suggest that modulators of cytokine responses could play a therapeutic role in combating the disease. " "

版本历史

[V1] 2020-02-12 16:35:12 chinaXiv:202002.00018V1 下载全文
点击下载全文
同行评议状态
待评议
许可声明
metrics指标
  • 点击量25900
  • 下载量5421
评论
分享
邀请专家评阅