Journal Article DZNE-2021-01569

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Early IFN-α signatures and persistent dysfunction are distinguishing features of NK cells in severe COVID-19.

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2021
Elsevier New York, NY

Immunity 54(11), 2650 - 2669.e14 () [10.1016/j.immuni.2021.09.002]

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Abstract: 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.

Keyword(s): Base Sequence (MeSH) ; COVID-19: immunology (MeSH) ; Humans (MeSH) ; Immunity, Innate: immunology (MeSH) ; Inflammation: immunology (MeSH) ; Interferon-alpha: blood (MeSH) ; Interferon-alpha: immunology (MeSH) ; Killer Cells, Natural: immunology (MeSH) ; Pulmonary Fibrosis: pathology (MeSH) ; RNA-Seq (MeSH) ; SARS-CoV-2: immunology (MeSH) ; Severity of Illness Index (MeSH) ; Transcriptome: genetics (MeSH) ; Tumor Necrosis Factor-alpha: metabolism (MeSH) ; United Kingdom (MeSH) ; United States (MeSH) ; COVID-19 ; NK cells ; TNF ; antiviral ; lung fibrosis ; moderate ; proteomics ; scRNA-seq ; severe ; type 1 IFN ; IFNA1 protein, human ; Interferon-alpha ; Tumor Necrosis Factor-alpha

Classification:

Contributing Institute(s):
  1. Platform for Single Cell Genomics and Epigenomics (Schultze - PRECISE)
  2. Platform for Single Cell Genomics and Epigenomics at DZNE & University of Bonn (R&D PRECISE)
Research Program(s):
  1. 354 - Disease Prevention and Healthy Aging (POF4-354) (POF4-354)

Appears in the scientific report 2021
Database coverage:
Medline ; BIOSIS Previews ; Biological Abstracts ; Clarivate Analytics Master Journal List ; Current Contents - Life Sciences ; Ebsco Academic Search ; Essential Science Indicators ; IF >= 40 ; JCR ; NationallizenzNationallizenz ; SCOPUS ; Science Citation Index Expanded ; Web of Science Core Collection
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The record appears in these collections:
Institute Collections > BN DZNE > BN DZNE-R&D PRECISE
Document types > Articles > Journal Article
Institute Collections > BN DZNE > BN DZNE-PRECISE
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 Record created 2021-11-25, last modified 2024-02-21