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024 7 _ |a 10.1016/j.cell.2021.12.040
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024 7 _ |a 1097-4172
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037 _ _ |a DZNE-2022-00698
041 _ _ |a English
082 _ _ |a 610
100 1 _ |a Georg, Philipp
|b 0
245 _ _ |a Complement activation induces excessive T cell cytotoxicity in severe COVID-19.
260 _ _ |a New York, NY
|c 2022
|b Elsevier
336 7 _ |a article
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336 7 _ |a ARTICLE
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520 _ _ |a Severe COVID-19 is linked to both dysfunctional immune response and unrestrained immunopathology, and it remains unclear whether T cells contribute to disease pathology. Here, we combined single-cell transcriptomics and single-cell proteomics with mechanistic studies to assess pathogenic T cell functions and inducing signals. We identified highly activated CD16+ T cells with increased cytotoxic functions in severe COVID-19. CD16 expression enabled immune-complex-mediated, T cell receptor-independent degranulation and cytotoxicity not found in other diseases. CD16+ T cells from COVID-19 patients promoted microvascular endothelial cell injury and release of neutrophil and monocyte chemoattractants. CD16+ T cell clones persisted beyond acute disease maintaining their cytotoxic phenotype. Increased generation of C3a in severe COVID-19 induced activated CD16+ cytotoxic T cells. Proportions of activated CD16+ T cells and plasma levels of complement proteins upstream of C3a were associated with fatal outcome of COVID-19, supporting a pathological role of exacerbated cytotoxicity and complement activation in COVID-19.
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650 _ 7 |a COVID-19
|2 Other
650 _ 7 |a T cells
|2 Other
650 _ 7 |a complement
|2 Other
650 _ 7 |a cytotoxicity
|2 Other
650 _ 7 |a immunopathology
|2 Other
650 _ 7 |a Chemotactic Factors
|2 NLM Chemicals
650 _ 7 |a Proteome
|2 NLM Chemicals
650 _ 7 |a Receptors, IgG
|2 NLM Chemicals
650 _ 2 |a Adult
|2 MeSH
650 _ 2 |a Aged
|2 MeSH
650 _ 2 |a Aged, 80 and over
|2 MeSH
650 _ 2 |a COVID-19: immunology
|2 MeSH
650 _ 2 |a COVID-19: pathology
|2 MeSH
650 _ 2 |a COVID-19: virology
|2 MeSH
650 _ 2 |a Chemotactic Factors: metabolism
|2 MeSH
650 _ 2 |a Complement Activation
|2 MeSH
650 _ 2 |a Cytotoxicity, Immunologic
|2 MeSH
650 _ 2 |a Endothelial Cells: virology
|2 MeSH
650 _ 2 |a Female
|2 MeSH
650 _ 2 |a Humans
|2 MeSH
650 _ 2 |a Lymphocyte Activation
|2 MeSH
650 _ 2 |a Male
|2 MeSH
650 _ 2 |a Microvessels: virology
|2 MeSH
650 _ 2 |a Middle Aged
|2 MeSH
650 _ 2 |a Monocytes: metabolism
|2 MeSH
650 _ 2 |a Neutrophils: metabolism
|2 MeSH
650 _ 2 |a Proteome
|2 MeSH
650 _ 2 |a Receptors, IgG: metabolism
|2 MeSH
650 _ 2 |a SARS-CoV-2: immunology
|2 MeSH
650 _ 2 |a Single-Cell Analysis
|2 MeSH
650 _ 2 |a T-Lymphocytes, Cytotoxic: immunology
|2 MeSH
650 _ 2 |a Transcriptome
|2 MeSH
650 _ 2 |a Young Adult
|2 MeSH
700 1 _ |a Astaburuaga-García, Rosario
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700 1 _ |a Bonaguro, Lorenzo
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700 1 _ |a Brumhard, Sophia
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700 1 _ |a Michalick, Laura
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700 1 _ |a Lippert, Lena J
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700 1 _ |a Kostevc, Tomislav
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700 1 _ |a Gäbel, Christiane
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700 1 _ |a Schneider, Maria
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700 1 _ |a Streitz, Mathias
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700 1 _ |a Demichev, Vadim
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700 1 _ |a Gemünd, Ioanna Dafni
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700 1 _ |a Barone, Matthias
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700 1 _ |a Tober-Lau, Pinkus
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700 1 _ |a Helbig, Elisa T
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700 1 _ |a Hillus, David
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700 1 _ |a Petrov, Lev
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700 1 _ |a Stein, Julia
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700 1 _ |a Dey, Hannah-Philine
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700 1 _ |a Paclik, Daniela
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700 1 _ |a Iwert, Christina
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700 1 _ |a Mülleder, Michael
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700 1 _ |a Aulakh, Simran Kaur
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700 1 _ |a Djudjaj, Sonja
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700 1 _ |a Mall, Marcus A
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700 1 _ |a Beule, Dieter
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700 1 _ |a Wyler, Emanuel
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700 1 _ |a Landthaler, Markus
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700 1 _ |a Obermayer, Benedikt
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700 1 _ |a von Stillfried, Saskia
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700 1 _ |a Boor, Peter
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700 1 _ |a Demir, Münevver
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700 1 _ |a Wesselmann, Hans
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700 1 _ |a Suttorp, Norbert
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700 1 _ |a Uhrig, Alexander
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700 1 _ |a Müller-Redetzky, Holger
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700 1 _ |a Nattermann, Jacob
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700 1 _ |a Kuebler, Wolfgang M
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700 1 _ |a Meisel, Christian
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700 1 _ |a Ralser, Markus
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700 1 _ |a Schultze, Joachim L
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700 1 _ |a Thibeault, Charlotte
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700 1 _ |a Kurth, Florian
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700 1 _ |a Sander, Leif E
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700 1 _ |a Blüthgen, Nils
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700 1 _ |a Sawitzki, Birgit
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700 1 _ |a Group, PA-COVID-19 Study
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773 _ _ |a 10.1016/j.cell.2021.12.040
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|t Complement activation induces excessive T cell cytotoxicity in severe COVID-19: Analysis of single cell data cohort 1 (Berlin).
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