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10.1093/infdis/jiaa591

http://scihub22266oqcxt.onion/10.1093/infdis/jiaa591
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32941618!7543529!32941618
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suck abstract from ncbi


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pmid32941618      J+Infect+Dis 2020 ; 222 (12): 1985-1996
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  • A Granulocytic Signature Identifies COVID-19 and Its Severity #MMPMID32941618
  • Vitte J; Diallo AB; Boumaza A; Lopez A; Michel M; Allardet-Servent J; Mezouar S; Sereme Y; Busnel JM; Miloud T; Malergue F; Morange PE; Halfon P; Olive D; Leone M; Mege JL
  • J Infect Dis 2020[Nov]; 222 (12): 1985-1996 PMID32941618show ga
  • BACKGROUND: An unbiased approach to SARS-CoV-2-induced immune dysregulation has not been undertaken so far. We aimed to identify previously unreported immune markers able to discriminate COVID-19 patients from healthy controls and to predict mild and severe disease. METHODS: An observational, prospective, multicentric study was conducted in patients with confirmed mild/moderate (n = 7) and severe (n = 19) COVID-19. Immunophenotyping of whole-blood leukocytes was performed in patients upon hospital ward or intensive care unit admission and in healthy controls (n = 25). Clinically relevant associations were identified through unsupervised analysis. RESULTS: Granulocytic (neutrophil, eosinophil, and basophil) markers were enriched during COVID-19 and discriminated between patients with mild and severe disease. Increased counts of CD15+CD16+ neutrophils, decreased granulocytic expression of integrin CD11b, and Th2-related CRTH2 downregulation in eosinophils and basophils established a COVID-19 signature. Severity was associated with emergence of PD-L1 checkpoint expression in basophils and eosinophils. This granulocytic signature was accompanied by monocyte and lymphocyte immunoparalysis. Correlation with validated clinical scores supported pathophysiological relevance. CONCLUSIONS: Phenotypic markers of circulating granulocytes are strong discriminators between infected and uninfected individuals as well as between severity stages. COVID-19 alters the frequency and functional phenotypes of granulocyte subsets with emergence of CRTH2 as a disease biomarker.
  • |Adult[MESH]
  • |Aged[MESH]
  • |Biomarkers/metabolism[MESH]
  • |CD11b Antigen/immunology[MESH]
  • |COVID-19/blood/diagnosis/*immunology[MESH]
  • |Female[MESH]
  • |France[MESH]
  • |Granulocytes/*immunology[MESH]
  • |Humans[MESH]
  • |Immunophenotyping[MESH]
  • |Leukocyte Count[MESH]
  • |Lymphocytes/immunology[MESH]
  • |Male[MESH]
  • |Middle Aged[MESH]
  • |Monocytes/immunology[MESH]
  • |Prospective Studies[MESH]
  • |Receptors, Immunologic/*metabolism[MESH]
  • |Receptors, Prostaglandin/*metabolism[MESH]
  • |SARS-CoV-2[MESH]


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