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10.1007/s00011-021-01525-3

http://scihub22266oqcxt.onion/10.1007/s00011-021-01525-3
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34850243!8631699!34850243
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suck abstract from ncbi

pmid34850243
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  • Severity of SARS-CoV-2 infection is linked to double-negative (CD27(-) IgD(-)) B cell subset numbers #MMPMID34850243
  • Cervantes-Diaz R; Sosa-Hernandez VA; Torres-Ruiz J; Romero-Ramirez S; Canez-Hernandez M; Perez-Fragoso A; Paez-Franco JC; Meza-Sanchez DE; Pescador-Rojas M; Sosa-Hernandez VA; Gomez-Martin D; Maravillas-Montero JL
  • Inflamm Res 2022[Jan]; 71 (1): 131-140 PMID34850243show ga
  • OBJECTIVES: The role of B cells in COVID-19, beyond the production of specific antibodies against SARS-CoV-2, is still not well understood. Here, we describe the novel landscape of circulating double-negative (DN) CD27(-) IgD(-) B cells in COVID-19 patients, representing a group of atypical and neglected subpopulations of this cell lineage. METHODS: Using multiparametric flow cytometry, we determined DN B cell subset amounts from 91 COVID-19 patients, correlated those with cytokines, clinical and laboratory parameters, and segregated them by principal components analysis. RESULTS: We detected significant increments in the DN2 and DN3 B cell subsets, while we found a relevant decrease in the DN1 B cell subpopulation, according to disease severity and patient outcomes. These DN cell numbers also appeared to correlate with pro- or anti-inflammatory signatures, respectively, and contributed to the segregation of the patients into disease severity groups. CONCLUSION: This study provides insights into DN B cell subsets' potential role in immune responses against SARS-CoV-2, particularly linked to the severity of COVID-19.
  • |*SARS-CoV-2[MESH]
  • |Adult[MESH]
  • |Aged[MESH]
  • |Aged, 80 and over[MESH]
  • |B-Lymphocytes/cytology[MESH]
  • |COVID-19/*blood/diagnosis/*immunology/virology[MESH]
  • |Cell Lineage[MESH]
  • |Computational Biology[MESH]
  • |Disease Progression[MESH]
  • |Female[MESH]
  • |Humans[MESH]
  • |Immunoglobulin D/*blood[MESH]
  • |Male[MESH]
  • |Middle Aged[MESH]
  • |Principal Component Analysis[MESH]
  • |Prognosis[MESH]
  • |Respiration, Artificial[MESH]
  • |Severity of Illness Index[MESH]
  • |Tumor Necrosis Factor Receptor Superfamily, Member 7/*blood[MESH]
  • |Young Adult[MESH]


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  • suck abstract from ncbi

    131 1.71 2022