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| 001 | 162916 | ||
| 005 | 20240221135016.0 | ||
| 024 | 7 | _ | |a 10.1016/j.immuni.2021.09.002 |2 doi |
| 024 | 7 | _ | |a pmid:34592166 |2 pmid |
| 024 | 7 | _ | |a pmc:PMC8416549 |2 pmc |
| 024 | 7 | _ | |a 1074-7613 |2 ISSN |
| 024 | 7 | _ | |a 1097-4180 |2 ISSN |
| 024 | 7 | _ | |a altmetric:112893035 |2 altmetric |
| 037 | _ | _ | |a DZNE-2021-01569 |
| 041 | _ | _ | |a English |
| 082 | _ | _ | |a 610 |
| 100 | 1 | _ | |a Krämer, Benjamin |b 0 |
| 245 | _ | _ | |a Early IFN-α signatures and persistent dysfunction are distinguishing features of NK cells in severe COVID-19. |
| 260 | _ | _ | |a New York, NY |c 2021 |b Elsevier |
| 336 | 7 | _ | |a article |2 DRIVER |
| 336 | 7 | _ | |a Output Types/Journal article |2 DataCite |
| 336 | 7 | _ | |a Journal Article |b journal |m journal |0 PUB:(DE-HGF)16 |s 1708519754_22067 |2 PUB:(DE-HGF) |
| 336 | 7 | _ | |a ARTICLE |2 BibTeX |
| 336 | 7 | _ | |a JOURNAL_ARTICLE |2 ORCID |
| 336 | 7 | _ | |a Journal Article |0 0 |2 EndNote |
| 520 | _ | _ | |a Longitudinal analyses of the innate immune system, including the earliest time points, are essential to understand the immunopathogenesis and clinical course of coronavirus disease (COVID-19). Here, we performed a detailed characterization of natural killer (NK) cells in 205 patients (403 samples; days 2 to 41 after symptom onset) from four independent cohorts using single-cell transcriptomics and proteomics together with functional studies. We found elevated interferon (IFN)-α plasma levels in early severe COVD-19 alongside increased NK cell expression of IFN-stimulated genes (ISGs) and genes involved in IFN-α signaling, while upregulation of tumor necrosis factor (TNF)-induced genes was observed in moderate diseases. NK cells exert anti-SARS-CoV-2 (severe acute respiratory syndrome coronavirus 2) activity but are functionally impaired in severe COVID-19. Further, NK cell dysfunction may be relevant for the development of fibrotic lung disease in severe COVID-19, as NK cells exhibited impaired anti-fibrotic activity. Our study indicates preferential IFN-α and TNF responses in severe and moderate COVID-19, respectively, and associates a prolonged IFN-α-induced NK cell response with poorer disease outcome. |
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| 650 | _ | 7 | |a COVID-19 |2 Other |
| 650 | _ | 7 | |a NK cells |2 Other |
| 650 | _ | 7 | |a TNF |2 Other |
| 650 | _ | 7 | |a antiviral |2 Other |
| 650 | _ | 7 | |a lung fibrosis |2 Other |
| 650 | _ | 7 | |a moderate |2 Other |
| 650 | _ | 7 | |a proteomics |2 Other |
| 650 | _ | 7 | |a scRNA-seq |2 Other |
| 650 | _ | 7 | |a severe |2 Other |
| 650 | _ | 7 | |a type 1 IFN |2 Other |
| 650 | _ | 7 | |a IFNA1 protein, human |2 NLM Chemicals |
| 650 | _ | 7 | |a Interferon-alpha |2 NLM Chemicals |
| 650 | _ | 7 | |a Tumor Necrosis Factor-alpha |2 NLM Chemicals |
| 650 | _ | 2 | |a Base Sequence |2 MeSH |
| 650 | _ | 2 | |a COVID-19: immunology |2 MeSH |
| 650 | _ | 2 | |a Humans |2 MeSH |
| 650 | _ | 2 | |a Immunity, Innate: immunology |2 MeSH |
| 650 | _ | 2 | |a Inflammation: immunology |2 MeSH |
| 650 | _ | 2 | |a Interferon-alpha: blood |2 MeSH |
| 650 | _ | 2 | |a Interferon-alpha: immunology |2 MeSH |
| 650 | _ | 2 | |a Killer Cells, Natural: immunology |2 MeSH |
| 650 | _ | 2 | |a Pulmonary Fibrosis: pathology |2 MeSH |
| 650 | _ | 2 | |a RNA-Seq |2 MeSH |
| 650 | _ | 2 | |a SARS-CoV-2: immunology |2 MeSH |
| 650 | _ | 2 | |a Severity of Illness Index |2 MeSH |
| 650 | _ | 2 | |a Transcriptome: genetics |2 MeSH |
| 650 | _ | 2 | |a Tumor Necrosis Factor-alpha: metabolism |2 MeSH |
| 650 | _ | 2 | |a United Kingdom |2 MeSH |
| 650 | _ | 2 | |a United States |2 MeSH |
| 700 | 1 | _ | |a Knoll, Rainer |0 P:(DE-2719)9000620 |b 1 |u dzne |
| 700 | 1 | _ | |a Bonaguro, Lorenzo |0 P:(DE-2719)9001512 |b 2 |u dzne |
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| 700 | 1 | _ | |a Kaiser, Kim Melanie |b 7 |
| 700 | 1 | _ | |a Rieke, Gereon J |b 8 |
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| 700 | 1 | _ | |a Monin, Malte B |b 10 |
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| 700 | 1 | _ | |a Schlabe, Stefan |b 12 |
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| 700 | 1 | _ | |a Reynolds, Gary |b 16 |
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| 700 | 1 | _ | |a Hack, Gudrun |b 18 |
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| 700 | 1 | _ | |a Nischalke, Hans D |b 20 |
| 700 | 1 | _ | |a Strassburg, Christian P |b 21 |
| 700 | 1 | _ | |a Stephenson, Emily |b 22 |
| 700 | 1 | _ | |a Su, Yapeng |b 23 |
| 700 | 1 | _ | |a Gardner, Louis |b 24 |
| 700 | 1 | _ | |a Yuan, Dan |b 25 |
| 700 | 1 | _ | |a Chen, Daniel |b 26 |
| 700 | 1 | _ | |a Goldman, Jason |b 27 |
| 700 | 1 | _ | |a Rosenstiel, Philipp |b 28 |
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| 700 | 1 | _ | |a Initiative, Deutsche COVID-19 OMICS |b 45 |e Collaboration Author |
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| 773 | _ | _ | |a 10.1016/j.immuni.2021.09.002 |g Vol. 54, no. 11, p. 2650 - 2669.e14 |0 PERI:(DE-600)2001966-X |n 11 |p 2650 - 2669.e14 |t Immunity |v 54 |y 2021 |x 1074-7613 |
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