Abstract

We still know very little about how the human immune system responds to SARS-CoV-2. Here we construct a SARS-CoV-2 proteome microarray containing 18 out of the 28 predicted proteins and apply it to the characterization of the IgG and IgM antibodies responses in the sera from 29 convalescent patients. We find that all these patients had IgG and IgM antibodies that specifically bind SARS-CoV-2 proteins, particularly the N protein and S1 protein. Besides these proteins, significant antibody responses to ORF9b and NSP5 are also identified. We show that the S1 specific IgG signal positively correlates with age and the level of lactate dehydrogenase (LDH) and negatively correlates with lymphocyte percentage. Overall, this study presents a systemic view of the SARS-CoV-2 specific IgG and IgM responses and provides insights to aid the development of effective diagnostic, therapeutic and vaccination strategies.

Currently very little is known about how our immune system responds to SARS-CoV-2 infection. Here the authors generate a SARS-CoV-2 proteome microarray for profiling of IgG and IgM responses to COVID-19 in patients and find significant responses to ORF9b and NSP5, as well as the S1 and N proteins.

Details

Title
SARS-CoV-2 proteome microarray for global profiling of COVID-19 specific IgG and IgM responses
Author
He-wei, Jiang 1   VIAFID ORCID Logo  ; Yang, Li 1 ; Hai-nan, Zhang 1 ; Wang, Wei 2 ; Yang, Xiao 3 ; Qi Huan 1 ; Li, Hua 4 ; Dong, Men 5   VIAFID ORCID Logo  ; Zhou, Jie 2 ; Sheng-ce, Tao 1   VIAFID ORCID Logo 

1  Shanghai Jiao Tong University, Shanghai Center for Systems Biomedicine, Key Laboratory of Systems Biomedicine (Ministry of Education), Shanghai, China (GRID:grid.16821.3c) (ISNI:0000 0004 0368 8293) 
2  Foshan Fourth People’s Hospital, Foshan, China (GRID:grid.410604.7) 
3  Chinese Academy of Sciences, Key Laboratory of RNA Biology, Institute of Biophysics, Beijing, China (GRID:grid.9227.e) (ISNI:0000000119573309) 
4  Shanghai Jiao Tong University, Bio-ID Center, School of Biomedical Engineering, Shanghai, China (GRID:grid.16821.3c) (ISNI:0000 0004 0368 8293) 
5  Chinese Academy of Sciences, State Key Laboratory of Virology, Wuhan Institute of Virology, Wuhan, China (GRID:grid.9227.e) (ISNI:0000000119573309) 
Publication year
2020
Publication date
2020
Publisher
Nature Publishing Group
e-ISSN
20411723
Source type
Scholarly Journal
Language of publication
English
DOI
https://doi.org/10.1038/s41467-020-17488-8
ProQuest document ID
2423654329
Copyright
© The Author(s) 2020. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.