Xiangyun Teng, Jiaqi Zhang, Yaling Shi, Yuntao Liu, Yanqing Yang, Jinyong He, Shuhong Luo, Yile Huang, Yanxia Liu, Dongdong Liu, Yizhe Li, Shuangzhe Zhang, Ruo-Pan Huang, Dawei Wang, Jianhua Xu
To systematically explore potential biomarkers which can predict disease severity in COVID-19 patients and prevent the occurrence or development of severe COVID-19, the levels of 440 factors were analyzed in patients categorized according to COVID-19 disease severity; including asymptomatic, mild, moderate, severe, convalescent and healthy control groups. Factor candidates were validated by ELISA and functional relevance was uncovered by bioinformatics analysis. To identify potential biomarkers of occurrence or development of COVID-19, patient sera from three different severity groups (moderate, severe, and critical) at three time points (admission, remission, and discharge) and the expression levels of candidate biomarkers were measured...
2021: Frontiers in Immunology