Immune phenotypes that are associated with subsequent COVID-19 severity inferred from post-recovery samples
The association of specific immune cell types with SARS-CoV-2 severity is not fully understood. Here the authors analyse PBMC from individuals recovered from COVID-19 and propose immune cell signatures post recovery that are associated with disease severity.
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2022-11-01
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| Series: | Nature Communications |
| Online Access: | https://doi.org/10.1038/s41467-022-34638-2 |
| _version_ | 1811210956006490112 |
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| author | Thomas Liechti Yaser Iftikhar Massimo Mangino Margaret Beddall Charles W. Goss Jane A. O’Halloran Philip A. Mudd Mario Roederer |
| author_facet | Thomas Liechti Yaser Iftikhar Massimo Mangino Margaret Beddall Charles W. Goss Jane A. O’Halloran Philip A. Mudd Mario Roederer |
| author_sort | Thomas Liechti |
| collection | DOAJ |
| description | The association of specific immune cell types with SARS-CoV-2 severity is not fully understood. Here the authors analyse PBMC from individuals recovered from COVID-19 and propose immune cell signatures post recovery that are associated with disease severity. |
| first_indexed | 2024-04-12T05:04:49Z |
| format | Article |
| id | doaj.art-4332ecc498cb426a98bc215965288a51 |
| institution | Directory Open Access Journal |
| issn | 2041-1723 |
| language | English |
| last_indexed | 2024-04-12T05:04:49Z |
| publishDate | 2022-11-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Nature Communications |
| spelling | doaj.art-4332ecc498cb426a98bc215965288a512022-12-22T03:46:54ZengNature PortfolioNature Communications2041-17232022-11-0113111710.1038/s41467-022-34638-2Immune phenotypes that are associated with subsequent COVID-19 severity inferred from post-recovery samplesThomas Liechti0Yaser Iftikhar1Massimo Mangino2Margaret Beddall3Charles W. Goss4Jane A. O’Halloran5Philip A. Mudd6Mario Roederer7ImmunoTechnology Section, Vaccine Research Center, NIAID, NIHImmunoTechnology Section, Vaccine Research Center, NIAID, NIHDepartment of Twin Research & Genetic Epidemiology, King’s College of LondonImmunoTechnology Section, Vaccine Research Center, NIAID, NIHDivision of Biostatistics, Washington University School of MedicineDivision of Infectious Diseases, Department of Internal Medicine, Washington University School of MedicineDepartment of Emergency Medicine, Washington University School of MedicineImmunoTechnology Section, Vaccine Research Center, NIAID, NIHThe association of specific immune cell types with SARS-CoV-2 severity is not fully understood. Here the authors analyse PBMC from individuals recovered from COVID-19 and propose immune cell signatures post recovery that are associated with disease severity.https://doi.org/10.1038/s41467-022-34638-2 |
| spellingShingle | Thomas Liechti Yaser Iftikhar Massimo Mangino Margaret Beddall Charles W. Goss Jane A. O’Halloran Philip A. Mudd Mario Roederer Immune phenotypes that are associated with subsequent COVID-19 severity inferred from post-recovery samples Nature Communications |
| title | Immune phenotypes that are associated with subsequent COVID-19 severity inferred from post-recovery samples |
| title_full | Immune phenotypes that are associated with subsequent COVID-19 severity inferred from post-recovery samples |
| title_fullStr | Immune phenotypes that are associated with subsequent COVID-19 severity inferred from post-recovery samples |
| title_full_unstemmed | Immune phenotypes that are associated with subsequent COVID-19 severity inferred from post-recovery samples |
| title_short | Immune phenotypes that are associated with subsequent COVID-19 severity inferred from post-recovery samples |
| title_sort | immune phenotypes that are associated with subsequent covid 19 severity inferred from post recovery samples |
| url | https://doi.org/10.1038/s41467-022-34638-2 |
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