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10.1038/s41590-020-0762-x

http://scihub22266oqcxt.onion/10.1038/s41590-020-0762-x
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32788748!ä!32788748

suck abstract from ncbi


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pmid32788748      Nat+Immunol 2020 ; 21 (9): 1107-1118
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  • Single-cell landscape of immunological responses in patients with COVID-19 #MMPMID32788748
  • Zhang JY; Wang XM; Xing X; Xu Z; Zhang C; Song JW; Fan X; Xia P; Fu JL; Wang SY; Xu RN; Dai XP; Shi L; Huang L; Jiang TJ; Shi M; Zhang Y; Zumla A; Maeurer M; Bai F; Wang FS
  • Nat Immunol 2020[Sep]; 21 (9): 1107-1118 PMID32788748show ga
  • In coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection, the relationship between disease severity and the host immune response is not fully understood. Here we performed single-cell RNA sequencing in peripheral blood samples of 5 healthy donors and 13 patients with COVID-19, including moderate, severe and convalescent cases. Through determining the transcriptional profiles of immune cells, coupled with assembled T cell receptor and B cell receptor sequences, we analyzed the functional properties of immune cells. Most cell types in patients with COVID-19 showed a strong interferon-alpha response and an overall acute inflammatory response. Moreover, intensive expansion of highly cytotoxic effector T cell subsets, such as CD4(+) effector-GNLY (granulysin), CD8(+) effector-GNLY and NKT CD160, was associated with convalescence in moderate patients. In severe patients, the immune landscape featured a deranged interferon response, profound immune exhaustion with skewed T cell receptor repertoire and broad T cell expansion. These findings illustrate the dynamic nature of immune responses during disease progression.
  • |Adolescent[MESH]
  • |Adult[MESH]
  • |Aged[MESH]
  • |Antigens, CD/genetics/immunology/*metabolism[MESH]
  • |Antigens, Differentiation, T-Lymphocyte/genetics/immunology/*metabolism[MESH]
  • |Betacoronavirus/*immunology[MESH]
  • |CD4-Positive T-Lymphocytes/immunology/metabolism[MESH]
  • |CD8-Positive T-Lymphocytes/immunology/metabolism[MESH]
  • |COVID-19[MESH]
  • |Cohort Studies[MESH]
  • |Coronavirus Infections/blood/diagnosis/*immunology/virology[MESH]
  • |Female[MESH]
  • |GPI-Linked Proteins/genetics/immunology/metabolism[MESH]
  • |Humans[MESH]
  • |Interferon Type I/genetics/immunology/*metabolism[MESH]
  • |Killer Cells, Natural/immunology/metabolism[MESH]
  • |Male[MESH]
  • |Middle Aged[MESH]
  • |Pandemics[MESH]
  • |Pneumonia, Viral/blood/diagnosis/*immunology/virology[MESH]
  • |RNA-Seq[MESH]
  • |Receptors, Immunologic/genetics/immunology/*metabolism[MESH]
  • |SARS-CoV-2[MESH]
  • |Severity of Illness Index[MESH]


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