Interleukin-8 as a Biomarker for Disease Prognosis of Coronavirus Disease-2019 Patients

Lili Li(Chinese Academy of Medical Sciences & Peking Union Medical College), Jie Li(Hubei University of Medicine), Meiling Gao(Hubei University of Medicine), Huimin Fan(Chinese Academy of Medical Sciences & Peking Union Medical College), Yanan Wang, Xin Xu(Chinese Academy of Medical Sciences & Peking Union Medical College), Chunfeng Chen, Junxiao Liu(Chinese Academy of Medical Sciences & Peking Union Medical College), Jocelyn T. Kim(University of California, Los Angeles), Roghiyh Aliyari(University of California, Los Angeles), Jicai Zhang(Hubei University of Medicine), Yujie Jin(Hubei University of Medicine), Xiaorong Li(Chinese Academy of Medical Sciences & Peking Union Medical College), Feng Ma(Chinese Academy of Medical Sciences & Peking Union Medical College), Minxin Shi(Nantong University), Genhong Cheng(University of California, Los Angeles), Heng Yang(Chinese Academy of Medical Sciences & Peking Union Medical College)
Frontiers in Immunology
January 8, 2021
Cited by 177Open Access
Full Text

Abstract

The widespread prevalence of coronavirus disease-2019 (COVID-19) which is caused by severe respiratory syndrome coronavirus 2 (SARS-CoV-2) infection, has resulted in a severe global public health emergency. However, there are no sensitive biomarkers to predict the disease prognosis of COVID-19 patients. Here, we have identified interleukin-8 (IL-8) as a biomarker candidate to predict different disease severity and prognosis of COVID-19 patients. While serum IL-6 become obviously elevated in severe COVID-19 patients, serum IL-8 was easily detectible in COVID-19 patients with mild syndromes. Furthermore, lL-8 levels correlated better than IL-6 levels with the overall clinical disease scores at different stages of the same COVID-19 patients. Thus, our studies suggest that IL-6 and IL-8 can be respectively used as biomarkers for severe COVID-19 patients and for COVID-19 disease prognosis.


Related Papers

No related papers found

Powered by citation graph analysis