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Letter to the EditorCOVID-19Immunology
Open Access | 10.1172/JCI158155
1Institute of Biomedical Sciences, Academia Sinica, Taipei, Taiwan.
2Genome and Systems Biology Degree Program, National Taiwan University, Taipei, Taiwan.
Address correspondence to: Shih-Yu Chen, 128 Sec 2, Academia Rd., Nankang, Taipei 115, Taiwan. Phone: 886.2.2652.3589; Email: sychen@ibms.sinica.edu.tw.
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1Institute of Biomedical Sciences, Academia Sinica, Taipei, Taiwan.
2Genome and Systems Biology Degree Program, National Taiwan University, Taipei, Taiwan.
Address correspondence to: Shih-Yu Chen, 128 Sec 2, Academia Rd., Nankang, Taipei 115, Taiwan. Phone: 886.2.2652.3589; Email: sychen@ibms.sinica.edu.tw.
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Published March 1, 2022 - More info
To explore how the immune system controls clearance of SARS-CoV-2, we used a single-cell, mass cytometry–based proteomics platform to profile the immune systems of 21 patients who had recovered from SARS-CoV-2 infection without need for admission to an intensive care unit or for mechanical ventilation. We focused on receptors involved in interactions between immune cells and virus-infected cells. We found that the diversity of receptor repertoires on natural killer (NK) cells was negatively correlated with the viral clearance rate. In addition, NK subsets expressing the receptor DNAM1 were increased in patients who more rapidly recovered from infection. Ex vivo functional studies revealed that NK subpopulations with high DNAM1 expression had cytolytic activities in response to target cell stimulation. We also found that SARS-CoV-2 infection induced the expression of CD155 and nectin-4, ligands of DNAM1 and its paired coinhibitory receptor TIGIT, which counterbalanced the cytolytic activities of NK cells. Collectively, our results link the cytolytic immune responses of NK cells to the clearance of SARS-CoV-2 and show that the DNAM1 pathway modulates host-pathogen interactions during SARS-CoV-2 infection.
Wan-Chen Hsieh, En-Yu Lai, Yu-Ting Liu, Yi-Fu Wang, Yi-Shiuan Tzeng, Lu Cui, Yun-Ju Lai, Hsiang-Chi Huang, Jia-Hsin Huang, Hung-Chih Ni, Dong-Yan Tsai, Jian-Jong Liang, Chun-Che Liao, Ya-Ting Lu, Laurence Jiang, Ming-Tsan Liu, Jann-Tay Wang, Sui-Yuan Chang, Chung-Yu Chen, Hsing-Chen Tsai, Yao-Ming Chang, Gerlinde Wernig, Chia-Wei Li, Kuo-I Lin, Yi-Ling Lin, Huai-Kuang Tsai, Yen-Tsung Huang, Shih-Yu Chen
Eddie C.Y. Wang, Ceri A. Fielding, Richard J. Stanton
We thank Dr. Stanton, Dr. Fielding, and Dr. Wang for their careful reading of our manuscript, especially for their comments on the alterations of the cell surface by SARS-CoV-2 and how these alterations affect NK-related immunosurveillence (1). We agree that a comprehensive profiling of the plasma membrane proteome is essential and that a study similar to that described previously is warranted (2). However, our strategy was to begin by identifying the unique features of NK immunophenotypes that control SARS-CoV-2 and then focus on the relevant ligands. We believe these two directions are complementary and provide different perspectives of how NK cells interact with virus-infected cells.
Regarding the upregulation of CD155 by SARS-CoV-2, we were also surprised to observe the upregulation of CD155 by pseudovirus that expressed only the spike protein. However, recent reports demonstrated that the spike protein alone or binding of the spike protein to the receptors can trigger signaling in host cells, which is in agreement with our findings that the spike protein is a stressor even in the absence of other viral components (3–6). That downregulation of CD155 is observed upon infection with other viruses (e.g., HCMV) resulting in evasion of NK cell surveillance is not mutually exclusive with our findings. Instead, it further strengthens the importance of investigating NK cell receptor repertoires in detail at the single-cell level. Since NK cells coexpressing DNAM1 and TIGIT, but not DNAM1 alone, are the subsets correlated with the viral clearance, this implies an inhibitory role of CD155 in the context of SARS-CoV-2 infection. We also agree that the differential expression of CD155 that we observed was the cumulative effect of both virus infection and IFN and other cytokines produced following infection. More comprehensive time-course experiments will be required to better clarify these effects, but are beyond the scope of this study. The histogram of absolute levels (mass cytometry) of CD155 is shown in Figure 1A for reference.
Additional evidence to support the involvement of DNAM1-CD155 interactions in the clearance of SARS-CoV-2. (A) Representative histogram of CD155 intensity in SARS-CoV-2 N protein–positive and –negative cells. (B) Efficiencies of killing of pseudovirus-infected A549 cells (target [T]) by NK cells (effector [E]) from a healthy donor at 3 effector/target (E/T) ratios with or without anti-DNAM1 antibody. (C) Killing efficiency of mock-infected Calu-1 cells by primary NK cells with or without TIGIT-Fc.
To further demonstrate the involvement of DNAM1, we indeed observed a decrease in NK cell killing after incubation with anti-DNAM1 antibody (Figure 1B). The mock-infected controls for the TIGIT-Fc NK experiments are shown in Figure 1C. There were no significant effects of TIGIT-Fc on NK cell killing in mock-infected controls, which demonstrates that the enhancement of NK cell killing efficiency was specific to SARS-CoV-2 virus–infected target cells.
Conflict of interest: The authors have declared that no conflict of interest exists.
Reference information: J Clin Invest. 2022;132(5):e158155. https://doi.org/10.1172/JCI158155.
See the related reference at Concerns over functional experiments, interpretation, and required controls.
See the related article at NK cell receptor and ligand composition influences the clearance of SARS-CoV-2.