TY - JOUR
T1 - Plasma IP-10 and MCP-3 levels are highly associated with disease severity and predict the progression of COVID-19
AU - Yang, Yang
AU - Shen, Chenguang
AU - Li, Jinxiu
AU - Yuan, Jing
AU - Wei, Jinli
AU - Huang, Fengmin
AU - Wang, Fuxiang
AU - Li, Guobao
AU - Li, Yanjie
AU - Xing, Li
AU - Peng, Ling
AU - Yang, Minghui
AU - Cao, Mengli
AU - Zheng, Haixia
AU - Wu, Weibo
AU - Zou, Rongrong
AU - Li, Delin
AU - Xu, Zhixiang
AU - Wang, Haiyan
AU - Zhang, Mingxia
AU - Zhang, Zheng
AU - Gao, George F.
AU - Jiang, Chengyu
AU - Liu, Lei
AU - Liu, Yingxia
N1 - Publisher Copyright:
© 2020 American Academy of Allergy, Asthma & Immunology
PY - 2020/7
Y1 - 2020/7
N2 - Background: The outbreak of coronavirus disease 2019 (COVID-19) caused by the severe acute respiratory syndrome coronavirus 2 was first reported in Wuhan, December 2019, and continuously poses a serious threat to public health, highlighting the urgent need of identifying biomarkers for disease severity and progression. Objective: We sought to identify biomarkers for disease severity and progression of COVID-19. Methods: Forty-eight cytokines in the plasma samples from 50 COVID-19 cases including 11 critically ill, 25 severe, and 14 moderate patients were measured and analyzed in combination with clinical data. Results: Levels of 14 cytokines were found to be significantly elevated in COVID-19 cases and showed different expression profiles in patients with different disease severity. Moreover, expression levels of IFN-γ–induced protein 10, monocyte chemotactic protein-3, hepatocyte growth factor, monokine-induced gamma IFN, and macrophage inflammatory protein 1 alpha, which were shown to be highly associated with disease severity during disease progression, were remarkably higher in critically ill patients, followed by severe and then the moderate patients. Serial detection of the 5 cytokines in 16 cases showed that continuously high levels were associated with deteriorated progression of disease and fatal outcome. Furthermore, IFN-γ–induced protein 10 and monocyte chemotactic protein-3 were excellent predictors for the progression of COVID-19, and the combination of the 2 cytokines showed the biggest area under the curve of the receiver-operating characteristics calculations with a value of 0.99. Conclusions: In this study, we report biomarkers that are highly associated with disease severity and progression of COVID-19. These findings add to our understanding of the immunopathologic mechanisms of severe acute respiratory syndrome coronavirus 2 infection, and provide potential therapeutic targets and strategies.
AB - Background: The outbreak of coronavirus disease 2019 (COVID-19) caused by the severe acute respiratory syndrome coronavirus 2 was first reported in Wuhan, December 2019, and continuously poses a serious threat to public health, highlighting the urgent need of identifying biomarkers for disease severity and progression. Objective: We sought to identify biomarkers for disease severity and progression of COVID-19. Methods: Forty-eight cytokines in the plasma samples from 50 COVID-19 cases including 11 critically ill, 25 severe, and 14 moderate patients were measured and analyzed in combination with clinical data. Results: Levels of 14 cytokines were found to be significantly elevated in COVID-19 cases and showed different expression profiles in patients with different disease severity. Moreover, expression levels of IFN-γ–induced protein 10, monocyte chemotactic protein-3, hepatocyte growth factor, monokine-induced gamma IFN, and macrophage inflammatory protein 1 alpha, which were shown to be highly associated with disease severity during disease progression, were remarkably higher in critically ill patients, followed by severe and then the moderate patients. Serial detection of the 5 cytokines in 16 cases showed that continuously high levels were associated with deteriorated progression of disease and fatal outcome. Furthermore, IFN-γ–induced protein 10 and monocyte chemotactic protein-3 were excellent predictors for the progression of COVID-19, and the combination of the 2 cytokines showed the biggest area under the curve of the receiver-operating characteristics calculations with a value of 0.99. Conclusions: In this study, we report biomarkers that are highly associated with disease severity and progression of COVID-19. These findings add to our understanding of the immunopathologic mechanisms of severe acute respiratory syndrome coronavirus 2 infection, and provide potential therapeutic targets and strategies.
KW - COVID-19
KW - SARS-CoV-2
KW - biomarkers
KW - disease progression
KW - prediction
UR - https://www.scopus.com/pages/publications/85084729783
U2 - 10.1016/j.jaci.2020.04.027
DO - 10.1016/j.jaci.2020.04.027
M3 - Article
C2 - 32360286
AN - SCOPUS:85084729783
SN - 0091-6749
VL - 146
SP - 119-127.e4
JO - Journal of Allergy and Clinical Immunology
JF - Journal of Allergy and Clinical Immunology
IS - 1
ER -
可持续发展目标 3 良好健康与福祉