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High Circulating Levels of Neutrophil Extracellular Traps Parameters Predicting Poor Outcome in COVID-19

Authors
 Kim, Seunghwan  ;  Hong, Ki Ho  ;  Gu, Ja-Yoon  ;  In, Ji Won  ;  Ahn, Mi Young  ;  Kim, Hyun Kyung 
Citation
 Annals of Clinical and Laboratory Science, Vol.52(3) : 374-381, 2022-05 
Journal Title
ANNALS OF CLINICAL AND LABORATORY SCIENCE
ISSN
 0091-7370 
Issue Date
2022-05
Keywords
Neutrophil extracellular trap ; Cell-free DNA ; Neutrophil elastase ; Citrullinated histone H3 ; Histone-DNA complex
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.
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Laboratory Medicine (진단검사의학교실) > 1. Journal Papers
Yonsei Authors
Hong, Ki Ho(홍기호) ORCID logo https://orcid.org/0000-0002-5700-9036
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/191405
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