• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

2019冠状病毒病(COVID-19)中的生化生物标志物改变

Biochemical biomarkers alterations in Coronavirus Disease 2019 (COVID-19).

作者信息

Ciaccio Marcello, Agnello Luisa

机构信息

Institute of Clinical Biochemistry, Clinical Molecular Medicine and Laboratory Medicine, Department of Biomedicine, Neurosciences and Advanced Diagnostics, University of Palermo, Palermo, Italy.

Department of Laboratory Medicine, AOUP "P. Giaccone", Palermo, Italy.

出版信息

Diagnosis (Berl). 2020 Nov 18;7(4):365-372. doi: 10.1515/dx-2020-0057.

DOI:10.1515/dx-2020-0057
PMID:32589600
Abstract

Coronavirus Disease 2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is a respiratory disease, which can evolve into multi-organ failure (MOF), leading to death. Several biochemical alterations have been described in COVID-19 patients. To date, many biomarkers reflecting the main pathophysiological characteristics of the disease have been identified and associated with the risk of developing severe disease. Lymphopenia represents the hallmark of the disease, and it can be detected since the early stage of infection. Increased levels of several inflammatory biomarkers, including c-reactive protein, have been found in COVID-19 patients and associated with an increased risk of severe disease, which is characterised by the so-called "cytokine storm". Also, the increase of cardiac and liver dysfunction biomarkers has been associated with poor outcome. In this review, we provide an overview of the main biochemical characteristics of COVID-19 and the associated biomarkers alterations.

摘要

由严重急性呼吸综合征冠状病毒2(SARS-CoV-2)引起的2019冠状病毒病(COVID-19)是一种呼吸系统疾病,可演变为多器官功能衰竭(MOF),导致死亡。COVID-19患者已出现多种生化改变。迄今为止,许多反映该疾病主要病理生理特征的生物标志物已被识别,并与发生严重疾病的风险相关。淋巴细胞减少是该疾病的标志,在感染早期即可检测到。在COVID-19患者中发现几种炎症生物标志物水平升高,包括C反应蛋白,且与严重疾病风险增加相关,严重疾病的特征是所谓的“细胞因子风暴”。此外,心脏和肝脏功能障碍生物标志物的增加也与不良预后相关。在本综述中,我们概述了COVID-19的主要生化特征及相关生物标志物改变。

相似文献

1
Biochemical biomarkers alterations in Coronavirus Disease 2019 (COVID-19).2019冠状病毒病(COVID-19)中的生化生物标志物改变
Diagnosis (Berl). 2020 Nov 18;7(4):365-372. doi: 10.1515/dx-2020-0057.
2
COVID-19-associated coagulopathy.新型冠状病毒肺炎相关凝血病
Diagnosis (Berl). 2020 Nov 18;7(4):357-363. doi: 10.1515/dx-2020-0078.
3
Clinical characteristics of 140 patients infected with SARS-CoV-2 in Wuhan, China.中国武汉 140 名 SARS-CoV-2 感染患者的临床特征。
Allergy. 2020 Jul;75(7):1730-1741. doi: 10.1111/all.14238. Epub 2020 Feb 27.
4
Laboratory characteristics of patients infected with the novel SARS-CoV-2 virus.新型 SARS-CoV-2 病毒感染者的实验室特征。
J Infect. 2020 Aug;81(2):205-212. doi: 10.1016/j.jinf.2020.06.039. Epub 2020 Jun 21.
5
Hematologic, biochemical and immune biomarker abnormalities associated with severe illness and mortality in coronavirus disease 2019 (COVID-19): a meta-analysis.与 2019 年冠状病毒病(COVID-19)严重疾病和死亡相关的血液学、生物化学和免疫生物标志物异常:荟萃分析。
Clin Chem Lab Med. 2020 Jun 25;58(7):1021-1028. doi: 10.1515/cclm-2020-0369.
6
Epidemiological and clinical characteristics of coronavirus disease 2019 in Daegu, South Korea.韩国大邱市 2019 年冠状病毒病的流行病学和临床特征。
Int J Infect Dis. 2020 Sep;98:462-466. doi: 10.1016/j.ijid.2020.07.017. Epub 2020 Jul 21.
7
Unexpected Features of Cardiac Pathology in COVID-19 Infection.新型冠状病毒肺炎(COVID-19)感染中心脏病理学的意外特征
Circulation. 2020 Sep 15;142(11):1123-1125. doi: 10.1161/CIRCULATIONAHA.120.049465. Epub 2020 Jul 21.
8
Inflammation and thrombosis in patients with COVID-19: A prothrombotic and inflammatory disease caused by SARS coronavirus-2.新型冠状病毒肺炎患者的炎症与血栓形成:一种由严重急性呼吸综合征冠状病毒2引起的促血栓形成和炎症性疾病。
Anatol J Cardiol. 2020 Oct;24(4):224-234. doi: 10.14744/AnatolJCardiol.2020.56727.
9
The Metabolic Changes and Immune Profiles in Patients With COVID-19.新型冠状病毒肺炎患者的代谢变化和免疫特征。
Front Immunol. 2020 Aug 28;11:2075. doi: 10.3389/fimmu.2020.02075. eCollection 2020.
10
Is COVID-19 more severe in older men?新冠病毒肺炎在老年男性中病情更严重吗?
Postgrad Med J. 2020 Jul;96(1137):426. doi: 10.1136/postgradmedj-2020-137867. Epub 2020 May 13.

引用本文的文献

1
SARS-CoV-2 Ct values and COVID-19 symptoms in patients with haematological malignancies in South Africa.南非血液系统恶性肿瘤患者的SARS-CoV-2病毒载量检测值与新冠肺炎症状
S Afr J Infect Dis. 2025 Jan 9;40(1):676. doi: 10.4102/sajid.40i1.676. eCollection 2025.
2
Identification and validation of programmed cell death related biomarkers for the treatment and prevention COVID-19.用于治疗和预防新冠肺炎的程序性细胞死亡相关生物标志物的鉴定与验证
Ann Med. 2025 Dec;57(1):2492830. doi: 10.1080/07853890.2025.2492830. Epub 2025 Apr 29.
3
Clinical Features Predicting COVID-19 Severity Risk at the Time of Hospitalization.
住院时预测COVID-19严重程度风险的临床特征。
Cureus. 2024 Mar 31;16(3):e57336. doi: 10.7759/cureus.57336. eCollection 2024 Mar.
4
Several laboratory variables indicate severity and prognosis of COVID-19.有几项实验室变量可以指示 COVID-19 的严重程度和预后。
J Int Med Res. 2024 Jan;52(1):3000605231222428. doi: 10.1177/03000605231222428.
5
An optimized D-dimer cut-off value to predict pulmonary thromboembolism in COVID-19 patients.预测COVID-19患者肺血栓栓塞症的优化D-二聚体临界值。
J Thorac Dis. 2023 Nov 30;15(11):6317-6322. doi: 10.21037/jtd-23-870. Epub 2023 Nov 27.
6
Immunological and biochemical biomarker alterations among SARS-COV-2 patients with varying disease phenotypes in Uganda.乌干达不同疾病表型的 SARS-COV-2 患者的免疫和生化生物标志物改变。
BMC Infect Dis. 2023 Dec 6;23(1):857. doi: 10.1186/s12879-023-08854-0.
7
Enhancement of IL-6 Production Induced by SARS-CoV-2 Nucleocapsid Protein and Bangladeshi COVID-19 Patients' Sera.SARS-CoV-2 核衣壳蛋白和孟加拉国 COVID-19 患者血清增强 IL-6 产生。
Viruses. 2023 Sep 28;15(10):2018. doi: 10.3390/v15102018.
8
Temporal evolution of laboratory characteristics in patients critically ill with COVID‑19 admitted to the intensive care unit (Review).入住重症监护病房的COVID-19危重症患者实验室检查特征的时间演变(综述)
Med Int (Lond). 2023 Sep 14;3(5):52. doi: 10.3892/mi.2023.112. eCollection 2023 Sep-Oct.
9
Severity-onset prediction of COVID-19 via artificial-intelligence analysis of multivariate factors.通过多因素人工智能分析预测新冠病毒疾病的严重程度及发病情况
Heliyon. 2023 Jul 27;9(8):e18764. doi: 10.1016/j.heliyon.2023.e18764. eCollection 2023 Aug.
10
Analysis of altered level of blood-based biomarkers in prognosis of COVID-19 patients.分析基于血液的生物标志物水平改变对 COVID-19 患者预后的影响。
PLoS One. 2023 Aug 4;18(8):e0287117. doi: 10.1371/journal.pone.0287117. eCollection 2023.