Identification of Distinct Immune Cells Associated with Various Clinical Presentations of COVID-19
SSRN Electronic Journal
- 753Usage
- 1Captures
Metric Options: CountsSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Article Description
The cell-mediated protective and pathogenic immune responses to SARS-CoV-2 infection remain largely unknown. Here, we identified 76 distinct cell subsets in the PBMC samples that were associated with various clinical presentations of COVID-19 using scRNA-seq technology coupled with a deep and comprehensive analysis of unique cell surface markers and differentially expressed genes. Notable cell subsets include (NCAM1hiCD160+)NK and (TRAV1-2+CD8+)MAIT cells increased in the asymptomatic subjects, (LAG3+CD160+CD8+)NKT cells increased in the symptomatic patients, (CD68-CSF1R-IL1BhiCD14+)classical monocytes associated with age and disease severity, (CD33-HLA-DMA-CD14+)classical monocytes and (CLEC10A-S100A9lo)pDC associated with the viral persistence, neutrophils and (CD68-CSF1R-IL1BhiCD14+ )classical monocytes dramatically increased in a fatal patient, whereas (LAG3+CD160+CD8+)NKT and (FOXP3+IL2RA+IL7R+CD4+)Treg cells markedly increased in a patient with humoral immunodeficiency. The GO and KEGG analyses identified enriched pathways related to immune responses, inflammation, apoptosis and other processes. These findings may enhance our understanding of the immunopathogenesis of COVID-19 and help develop novel strategies against SARS-CoV-2 infection. Funding Information: This study is supported in part by the Department of Science and Technology of Shaanxi Province (Grant No. 2020ZDXM2-SF-02) (CZ and BS) and the operational funds from The First Affiliated Hospital of Xi’an Jiaotong University (CZ and BS). Declaration of Interests: The authors declare that they have no competing financial interests.
Bibliographic Details
Provide Feedback
Have ideas for a new metric? Would you like to see something else here?Let us know