Plasma gp96 is a Novel Predictive Biomarker for Severe COVID-19-Reference-Cited by-同舟云学术

Plasma gp96 is a Novel Predictive Biomarker for Severe COVID-19

Published:2021-12-22 Issue:3 Volume:9 Page:
ISSN:2165-0497
Container-title:Microbiology Spectrum
language:en
Short-container-title:Microbiol Spectr

Author:

Wei Rongguo¹²³,Zhou Biyan³,Li Shaohua⁴,Zhong Debin³,Li Boan⁵,Qin Jianqiu⁶,Zhao Liping³,Qin Lixian³,Hu Jun¹²,Wang Jiuru¹²,Yang Shixiong⁶,Zhao Jingming⁴,Meng Songdong¹²^ORCID

Affiliation:

1. CAS Key Laboratory of Pathogenic Microbiology and Immunology, Center for Biosafety Mega-Science, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China

2. University of Chinese Academy of Sciences, Beijing, China

3. Department of Clinical Laboratory, The Fifth Affiliated Hospital of Guangxi Medical University, Nanning, China

4. Department of Pathology and Hepatology, The 5th Medical Centre, Chinese PLA General Hospital, Beijing, China

5. Department of Clinical Laboratory, The 5th Medical Centre, Chinese PLA General Hospital, Beijing, China

6. Nanning Municipal Center for Disease Control and Prevention, Nanning, China

Abstract

Early and effective identification of severe COVID-19 may allow us to improve the outcomes of associated severe acute respiratory illness with fever and respiratory symptoms. Some heat shock proteins (Hsps) are released during oxidative stress, cytotoxic injury, and viral infection and behave as danger-associated molecular patterns (DAMPs).

Funder

Strategic Priority Research Program of the Chinese Academy of science

Beijing Natural Science Foundation-Haidian Primitive Innovation Joint Fund

广西壮族自治区卫生厅 | Guangxi Zhuang Autonomous Region Health and Family Planning Commission

Guangxi Medical and Health Key Research Project

National Natural Science Foundation of China

Publisher

American Society for Microbiology

Subject

Infectious Diseases,Cell Biology,Microbiology (medical),Genetics,General Immunology and Microbiology,Ecology,Physiology

Link

https://journals.asm.org/doi/pdf/10.1128/Spectrum.00597-21