Predictive Value of dsDNA and Nucleosomes as Neutrophil Extracellular Traps-Related Biomarkers for COVID-19 in Older Patients.

IF 4.1 2区 医学 Q2 IMMUNOLOGY Journal of Inflammation Research Pub Date : 2024-11-15 eCollection Date: 2024-01-01 DOI:10.2147/JIR.S414688
Xudong Cui, Tiewei Li, Jingping Yang, Xiaojuan Li, Pengfei Xuan, Hongyan Wang
{"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":4.1000,"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.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
dsDNA和核小体作为中性粒细胞胞外陷阱相关生物标记物对老年患者COVID-19的预测价值
背景:先前的研究表明,中性粒细胞胞外捕获物(NET)在感染性疾病中至关重要。本研究旨在评估NET相关生物标志物在识别COVID-19风险和诊断疾病方面的临床价值:本研究涉及 2023 年 4 月至 8 月间通过聚合酶链反应(PCR)检测出 COVID-19 阳性的 32 名患者。同期还招募了 30 名健康志愿者作为对照组。与 NET 相关的主要生物标志物是瓜氨酸组蛋白 H3(CitH3)、双链 DNA(dsDNA)、髓过氧化物酶-DNA 复合物(MPO-DNA)和核糖体。其中两种或两种以上生物标志物的水平升高表明 NET 浓度升高。采用多变量逻辑回归分析来评估与NET相关的生物标志物是否是COVID-19的独立风险因素。利用接收器操作特征曲线(ROC)分析进一步评估了COVID-19中NET相关生物标志物的诊断价值。统计程序在SPSS软件(24.0版,美国)中执行:与对照组相比,COVID-19 感染者的dsDNA和核糖体水平更高(P < 0.001)。相关性分析表明,dsDNA水平与中性粒细胞计数呈正相关(r = 0.309,P = 0.015),核小体水平与中性粒细胞计数呈正相关(r = 0.446,P < 0.001)。进一步分析表明,dsDNA和核糖体是COVID-19感染的独立风险因素。ROC曲线分析显示,dsDNA曲线下面积(AUC)=0.777,95%置信区间(CI),0.661-0.893,P<0.001,核糖体(AUC=0.884,95%CI,0.778-0.991,P<0.001)对诊断COVID-19感染具有很好的诊断价值:与NET相关的生物标志物dsDNA和核糖体是COVID-19感染的独立危险因素,也是诊断老年患者COVID-19感染的潜在有用生物标志物。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Journal of Inflammation Research
Journal of Inflammation Research Immunology and Microbiology-Immunology
CiteScore
6.10
自引率
2.20%
发文量
658
审稿时长
16 weeks
期刊介绍: An international, peer-reviewed, open access, online journal that welcomes laboratory and clinical findings on the molecular basis, cell biology and pharmacology of inflammation.
期刊最新文献
Qingyi Decoction Alleviates Alcoholic Pancreatitis by Improving Glycerolipid Homeostasis via the AMPK/SREBP-1c/PPARα Pathway. Clinical Manifestations and Risk Factors of Osteoporosis in Patients with Type 2 Diabetes Mellitus. Artificial Intelligence for Predicting Immunotherapy Efficacy in Non-Small Cell Lung Cancer. Biological Therapies for Urate Lowering and Inflammation Control in Gout Management. Integrated Multi-Omics Analysis Reveals IRF1-Driven Microglial PANoptosis via ZBP1 in Spinal Cord Injury.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1