ABSTRACT
OBJECTIVE: Exploration of biomarkers to predict the severity of COVID-19 is important to reduce mortality. Upon COVID-19 infection, neutrophil extracellular traps (NET) are formed, which leads to a cytokine storm and host damage. Hence, the extent of NET formation may reflect disease progression and predict mortality in COVID-19. METHODS: We measured 4 NET parameters - cell-free double stranded DNA (cell-free dsDNA), neutrophil elastase, citrullinated histone H3 (Cit-H3), and histone - DNA complex - in 188 COVID-19 patients and 20 healthy controls. Survivors (n=166) were hospitalized with or without oxygen supplementation, while non-survivors (n=22) expired during in-hospital treatment. RESULTS: Cell-free dsDNA was significantly elevated in non-survivors in comparison with survivors and controls. The survival rate of patients with high levels of cell-free dsDNA, neutrophil elastase, and Cit-H3 was significantly lower than that of patients with low levels. These three markers significantly correlated with inflammatory markers (absolute neutrophil count and C-reactive protein). CONCLUSION: Since the increase in NET parameters indicates the unfavourable course of COVID-19 infection, patients predisposed to poor outcome can be rapidly managed through risk stratification by using these NET parameters.
Subject(s)
COVID-19 , Extracellular Traps , Biomarkers/metabolism , COVID-19/diagnosis , Cell-Free Nucleic Acids/blood , Cell-Free Nucleic Acids/metabolism , Extracellular Traps/metabolism , Histones/blood , Histones/metabolism , Humans , Leukocyte Elastase/blood , Leukocyte Elastase/metabolism , Neutrophils/metabolism , PrognosisABSTRACT
The sensitivity of molecular diagnostics could be affected by nucleotide variants in pathogen genes, and the sites affected by such variants should be monitored. We report a single-nucleotide variant (SNV) in the nucleocapsid (N) gene of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), i.e., G29179T, which impairs the diagnostic sensitivity of the Xpert Xpress SARS-CoV-2 assay (Cepheid, Sunnyvale, CA, USA). We observed significant differences between the threshold cycle (Ct) values for envelope (E) and N genes and confirmed the SNV as the cause of the differences using Sanger sequencing. This SNV, G29179T, is the most prevalent in Korea and is associated with the B.1.497 virus lineage, which is dominant in Korea. Clinical laboratories should be aware of the various SNVs in the SARS-CoV-2 genome and consider their potential effects on the diagnosis of coronavirus disease 2019.