{"title":"Predictive Value of dsDNA and Nucleosomes as Neutrophil Extracellular Traps-Related Biomarkers for COVID-19 in Older Patients.","authors":"Xudong Cui, Tiewei Li, Jingping Yang, Xiaojuan Li, Pengfei Xuan, Hongyan Wang","doi":"10.2147/JIR.S414688","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Previous studies have demonstrated that neutrophil extracellular traps (NETs) are crucial in infectious diseases. This study aims to evaluate the clinical value of NET-related biomarkers in identifying the risk of COVID-19 and diagnosing the disease.</p><p><strong>Methods: </strong>This study involved 32 patients who tested positive for COVID-19 via polymerase chain reaction (PCR) between April and August 2023. During the same period, 30 healthy volunteers were enrolled as a control group. The principal biomarkers related to NETs are citrullinated histone H3 (CitH3), double-stranded DNA (dsDNA), myeloperoxidase-DNA complex (MPO-DNA), and Nucleosome. Elevated levels in two or more of these biomarkers indicate raised NET concentrations. Multivariable logistic regression analysis was employed to assess whether NET-related biomarkers were the independent risk factor of COVID-19. The diagnostic value of NET-related biomarkers in COVID-19 was further evaluated using receiver operating characteristic (ROC) curve analysis. Statistical procedures were executed in SPSS software (version 24.0, USA).</p><p><strong>Results: </strong>Compared with the control group, patients infected with COVID-19 had higher levels of dsDNA and nucleosomes (P < 0.001). Correlation analysis revealed a positive correlation between dsDNA levels and neutrophil count (r = 0.309, P = 0.015) as well as between nucleosome levels and neutrophil count (r = 0.446, P < 0.001). Further analysis showed that dsDNA and nucleosomes were independent risk factors for COVID-19 infection. ROC curve analysis showed that dsDNA area under the curve (AUC) = 0.777, 95% confidence interval (CI), 0.661-0.893, P < 0.001, and nucleosomes (AUC = 0.884, 95% CI, 0.778-0.991, P < 0.001) had well diagnostic value in the diagnosing COVID-19 infection.</p><p><strong>Conclusion: </strong>NET-related biomarkers, dsDNA and nucleosomes, were independent risk factors of COVID-19 infection and potentially useful biomarkers in diagnosing COVID-19 infection in older patients.</p>","PeriodicalId":16107,"journal":{"name":"Journal of Inflammation Research","volume":"17 ","pages":"8831-8838"},"PeriodicalIF":4.2000,"publicationDate":"2024-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11575441/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Inflammation Research","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.2147/JIR.S414688","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/1/1 0:00:00","PubModel":"eCollection","JCR":"Q2","JCRName":"IMMUNOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Background: Previous studies have demonstrated that neutrophil extracellular traps (NETs) are crucial in infectious diseases. This study aims to evaluate the clinical value of NET-related biomarkers in identifying the risk of COVID-19 and diagnosing the disease.
Methods: This study involved 32 patients who tested positive for COVID-19 via polymerase chain reaction (PCR) between April and August 2023. During the same period, 30 healthy volunteers were enrolled as a control group. The principal biomarkers related to NETs are citrullinated histone H3 (CitH3), double-stranded DNA (dsDNA), myeloperoxidase-DNA complex (MPO-DNA), and Nucleosome. Elevated levels in two or more of these biomarkers indicate raised NET concentrations. Multivariable logistic regression analysis was employed to assess whether NET-related biomarkers were the independent risk factor of COVID-19. The diagnostic value of NET-related biomarkers in COVID-19 was further evaluated using receiver operating characteristic (ROC) curve analysis. Statistical procedures were executed in SPSS software (version 24.0, USA).
Results: Compared with the control group, patients infected with COVID-19 had higher levels of dsDNA and nucleosomes (P < 0.001). Correlation analysis revealed a positive correlation between dsDNA levels and neutrophil count (r = 0.309, P = 0.015) as well as between nucleosome levels and neutrophil count (r = 0.446, P < 0.001). Further analysis showed that dsDNA and nucleosomes were independent risk factors for COVID-19 infection. ROC curve analysis showed that dsDNA area under the curve (AUC) = 0.777, 95% confidence interval (CI), 0.661-0.893, P < 0.001, and nucleosomes (AUC = 0.884, 95% CI, 0.778-0.991, P < 0.001) had well diagnostic value in the diagnosing COVID-19 infection.
Conclusion: NET-related biomarkers, dsDNA and nucleosomes, were independent risk factors of COVID-19 infection and potentially useful biomarkers in diagnosing COVID-19 infection in older patients.
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