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10.1371/journal.pone.0261679

http://scihub22266oqcxt.onion/10.1371/journal.pone.0261679
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suck abstract from ncbi


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pmid35081105      PLoS+One 2022 ; 17 (1): e0261679
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  • RNA Sequencing in COVID-19 patients identifies neutrophil activation biomarkers as a promising diagnostic platform for infections #MMPMID35081105
  • Wargodsky R; Dela Cruz P; LaFleur J; Yamane D; Kim JS; Benjenk I; Heinz E; Irondi OO; Farrar K; Toma I; Jordan T; Goldman J; McCaffrey TA
  • PLoS One 2022[]; 17 (1): e0261679 PMID35081105show ga
  • Infection with the SARS-CoV2 virus can vary from asymptomatic, or flu-like with moderate disease, up to critically severe. Severe disease, termed COVID-19, involves acute respiratory deterioration that is frequently fatal. To understand the highly variable presentation, and identify biomarkers for disease severity, blood RNA from COVID-19 patient in an intensive care unit was analyzed by whole transcriptome RNA sequencing. Both SARS-CoV2 infection and the severity of COVID-19 syndrome were associated with up to 25-fold increased expression of neutrophil-related transcripts, such as neutrophil defensin 1 (DEFA1), and 3-5-fold reductions in T cell related transcripts such as the T cell receptor (TCR). The DEFA1 RNA level detected SARS-CoV2 viremia with 95.5% sensitivity, when viremia was measured by ddPCR of whole blood RNA. Purified CD15+ neutrophils from COVID-19 patients were increased in abundance and showed striking increases in nuclear DNA staining by DAPI. Concurrently, they showed >10-fold higher elastase activity than normal controls, and correcting for their increased abundance, still showed 5-fold higher elastase activity per cell. Despite higher CD15+ neutrophil elastase activity, elastase activity was extremely low in plasma from the same patients. Collectively, the data supports the model that increased neutrophil and decreased T cell activity is associated with increased COVID-19 severity, and suggests that blood DEFA1 RNA levels and neutrophil elastase activity, both involved in neutrophil extracellular traps (NETs), may be informative biomarkers of host immune activity after viral infection.
  • |Adult[MESH]
  • |Biomarkers/*blood[MESH]
  • |COVID-19/*diagnosis/pathology/virology[MESH]
  • |Female[MESH]
  • |Humans[MESH]
  • |Intensive Care Units[MESH]
  • |Lewis X Antigen/metabolism[MESH]
  • |Male[MESH]
  • |Middle Aged[MESH]
  • |Neutrophil Activation[MESH]
  • |Neutrophils/cytology/immunology/*metabolism[MESH]
  • |Pancreatic Elastase/blood[MESH]
  • |RNA, Viral/chemistry/metabolism[MESH]
  • |Receptors, Antigen, T-Cell/genetics[MESH]
  • |SARS-CoV-2/*genetics/isolation & purification[MESH]
  • |Sensitivity and Specificity[MESH]
  • |Sequence Analysis, RNA[MESH]
  • |Severity of Illness Index[MESH]


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