• 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

脓毒症生物标志物的最新进展

An Update on Sepsis Biomarkers.

作者信息

Kim Mi Hee, Choi Jung Hyun

机构信息

Division of Infectious Disease, Department of Internal Medicine, College of Medicine, The Catholic University of Korea, Seoul, Korea.

出版信息

Infect Chemother. 2020 Mar;52(1):1-18. doi: 10.3947/ic.2020.52.1.1.

DOI:10.3947/ic.2020.52.1.1
PMID:32239808
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7113456/
Abstract

Sepsis is a dysregulated systemic reaction to a common infection, that can cause life-threatening organ dysfunction. Over the last decade, the mortality rate of patients with sepsis has decreased as long as patients are treated according to the recommendations of the Surviving Sepsis Campaign, but is still unacceptably high. Patients at risk of sepsis should therefore be identified prior to the onset of organ dysfunction and this requires a rapid diagnosis and a prompt initiation of treatment. Unfortunately, there is no gold standard for the diagnosis of sepsis and traditional standard culture methods are time-consuming. Recently, in order to overcome these limitations, biomarkers which could help in predicting the diagnosis and prognosis of sepsis, as well as being useful for monitoring the response to treatments, have been identified. In addition, recent advances have led to the development of newly identified classes of biomarkers such as microRNAs, long-non-coding RNAs, and the human microbiome. This review focuses on the latest information on biomarkers that can be used to predict the diagnosis and prognosis of sepsis.

摘要

脓毒症是机体对常见感染的一种失调的全身性反应,可导致危及生命的器官功能障碍。在过去十年中,只要按照拯救脓毒症运动的建议对患者进行治疗,脓毒症患者的死亡率就会下降,但仍然高得令人无法接受。因此,应该在器官功能障碍发作之前识别出有脓毒症风险的患者,而这需要快速诊断并及时开始治疗。不幸的是,脓毒症的诊断没有金标准,传统的标准培养方法耗时较长。最近,为了克服这些局限性,已经确定了一些生物标志物,它们有助于预测脓毒症的诊断和预后,还可用于监测治疗反应。此外,最近的进展促使了新发现的几类生物标志物的发展,如微小RNA、长链非编码RNA和人类微生物组。这篇综述重点关注可用于预测脓毒症诊断和预后的生物标志物的最新信息。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fa0b/7113456/d51ed7b9b1ea/ic-52-1-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fa0b/7113456/08e156c352b0/ic-52-1-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fa0b/7113456/d51ed7b9b1ea/ic-52-1-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fa0b/7113456/08e156c352b0/ic-52-1-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fa0b/7113456/d51ed7b9b1ea/ic-52-1-g002.jpg

相似文献

1
An Update on Sepsis Biomarkers.脓毒症生物标志物的最新进展
Infect Chemother. 2020 Mar;52(1):1-18. doi: 10.3947/ic.2020.52.1.1.
2
Bacterial Sepsis细菌性脓毒症
3
Sepsis Care Pathway 2019.2019年脓毒症护理路径
Qatar Med J. 2019 Nov 7;2019(2):4. doi: 10.5339/qmj.2019.qccc.4. eCollection 2019.
4
Long Non-Coding RNAs as Biomarkers and Therapeutic Targets in Sepsis.长链非编码 RNA 作为脓毒症的生物标志物和治疗靶点。
Front Immunol. 2021 Sep 22;12:722004. doi: 10.3389/fimmu.2021.722004. eCollection 2021.
5
Proposed Framework for Conducting Clinically Relevant Translational Biomarker Research for the Diagnosis, Prognosis and Management of Sepsis.用于脓毒症诊断、预后和管理的临床相关转化生物标志物研究的拟议框架。
Diagnostics (Basel). 2024 Jan 30;14(3):300. doi: 10.3390/diagnostics14030300.
6
Sepsis in the burn patient: a different problem than sepsis in the general population.烧伤患者的脓毒症:与普通人群的脓毒症是不同的问题。
Burns Trauma. 2017 Aug 8;5:23. doi: 10.1186/s41038-017-0089-5. eCollection 2017.
7
Non-coding RNA: a potential biomarker and therapeutic target for sepsis.非编码RNA:脓毒症的潜在生物标志物和治疗靶点
Oncotarget. 2017 Oct 10;8(53):91765-91778. doi: 10.18632/oncotarget.21766. eCollection 2017 Oct 31.
8
Intra-abdominal sepsis: new definitions and current clinical standards.腹腔脓毒症:新定义与现行临床标准。
Langenbecks Arch Surg. 2019 May;404(3):257-271. doi: 10.1007/s00423-019-01752-7. Epub 2019 Jan 26.
9
Novel biomarkers for sepsis: A narrative review.用于脓毒症的新型生物标志物:叙述性综述。
Eur J Intern Med. 2017 Nov;45:46-50. doi: 10.1016/j.ejim.2017.09.030. Epub 2017 Sep 29.
10
Approaching clinical reality: markers for monitoring systemic inflammation and sepsis.接近临床实际:监测全身炎症和脓毒症的标志物。
Curr Mol Med. 2010 Mar;10(2):227-35. doi: 10.2174/156652410790963358.

引用本文的文献

1
Point of care sepsis diagnosis: Exploring microfluidic techniques for sample preparation, biomarker isolation, and detection.床旁脓毒症诊断:探索用于样品制备、生物标志物分离和检测的微流控技术。
Biomicrofluidics. 2025 Jul 1;19(4):041502. doi: 10.1063/5.0248096. eCollection 2025 Jul.
2
AI-driven multi-omics profiling of sepsis immunity in the digestive system.人工智能驱动的消化系统脓毒症免疫多组学分析
Front Immunol. 2025 May 20;16:1590526. doi: 10.3389/fimmu.2025.1590526. eCollection 2025.
3
Diagnostic Performance of Monocyte Distribution Width for the Detection of Sepsis: A Systematic Review and Meta-Analysis.

本文引用的文献

1
Sandwich Immunoassay for Bioactive Plasma Adrenomedullin.生物活性血浆肾上腺髓质素的夹心免疫测定法
J Appl Lab Med. 2017 Sep 1;2(2):222-233. doi: 10.1373/jalm.2017.023655.
2
Calprotectin, a new biomarker for diagnosis of acute respiratory infections.钙卫蛋白,急性呼吸道感染诊断的新型生物标志物。
Sci Rep. 2020 Mar 6;10(1):4208. doi: 10.1038/s41598-020-61094-z.
3
Plasma miR-125a and miR-125b in sepsis: Correlation with disease risk, inflammation, severity, and prognosis.脓毒症患者血浆 miR-125a 和 miR-125b:与疾病风险、炎症、严重程度和预后的相关性。
单核细胞分布宽度检测脓毒症的诊断效能:一项系统评价和Meta分析
J Am Coll Emerg Physicians Open. 2025 Feb 21;6(2):100073. doi: 10.1016/j.acepjo.2025.100073. eCollection 2025 Apr.
4
Introducing AVAC as an ultra-sensitive platform with broad dynamical range for high-throughput multiplexed biomarker detection using digital counting of plasmonic nanoparticles.介绍AVAC作为一种超灵敏平台,具有广泛的动态范围,可通过对等离激元纳米颗粒进行数字计数来实现高通量多重生物标志物检测。
Sci Rep. 2025 Feb 13;15(1):5390. doi: 10.1038/s41598-025-88992-4.
5
Identification of prognostic biomarkers of sepsis and construction of ceRNA regulatory networks.脓毒症预后生物标志物的鉴定及ceRNA调控网络的构建
Sci Rep. 2025 Jan 22;15(1):2850. doi: 10.1038/s41598-024-78502-3.
6
Crossing Age Boundaries: The Unifying Potential of Presepsin in Sepsis Diagnosis Across Diverse Age Groups.跨越年龄界限:降钙素原在不同年龄组脓毒症诊断中的统一潜力
J Clin Med. 2024 Nov 21;13(23):7038. doi: 10.3390/jcm13237038.
7
Evaluating the Diagnostic and Prognostic Value of Interleukin-6 (IL-6) and Soluble Triggering Receptor Expressed on Myeloid Cells-1 (sTREM-1) in Systemic Inflammatory Response Syndrome (SIRS) and Sepsis in Adults.评估白细胞介素-6(IL-6)和髓系细胞表面表达的可溶性触发受体-1(sTREM-1)在成人全身炎症反应综合征(SIRS)和脓毒症中的诊断及预后价值。
Cureus. 2024 Nov 8;16(11):e73310. doi: 10.7759/cureus.73310. eCollection 2024 Nov.
8
Exosomes as novel biomarkers in sepsis and sepsis related organ failure.外泌体作为脓毒症和脓毒症相关器官衰竭的新型生物标志物。
J Transl Med. 2024 Nov 28;22(1):1078. doi: 10.1186/s12967-024-05817-0.
9
Red blood cell distribution width to albumin ratio as a predictor of mortality in ICU patients with community acquired bacteremia.红细胞分布宽度与白蛋白比值作为社区获得性菌血症重症监护病房患者死亡率的预测指标
Sci Rep. 2024 Nov 19;14(1):28596. doi: 10.1038/s41598-024-80017-w.
10
Procalcitonin Guided Antibiotic Stewardship.降钙素原指导下的抗生素管理
Biomark Insights. 2024 Nov 17;19:11772719241298197. doi: 10.1177/11772719241298197. eCollection 2024.
J Clin Lab Anal. 2020 Feb;34(2):e23036. doi: 10.1002/jcla.23036.
4
Effect of neutrophil CD64 for diagnosing sepsis in emergency department.中性粒细胞CD64在急诊科诊断脓毒症中的作用。
World J Emerg Med. 2020;11(2):79-86. doi: 10.5847/wjem.j.1920-8642.2020.02.003.
5
The ratio of plasma angiopoietin-2 to angiopoietin-1 as a prognostic biomarker in patients with sepsis.脓毒症患者血浆血管生成素-2 与血管生成素-1 比值作为预后生物标志物。
Cytokine. 2020 May;129:155029. doi: 10.1016/j.cyto.2020.155029. Epub 2020 Feb 12.
6
miRNAs as Biomarkers in Disease: Latest Findings Regarding Their Role in Diagnosis and Prognosis.miRNAs 作为疾病的生物标志物:关于其在诊断和预后中作用的最新发现。
Cells. 2020 Jan 23;9(2):276. doi: 10.3390/cells9020276.
7
Gut microbiota profiles in critically ill patients, potential biomarkers and risk variables for sepsis.危重症患者的肠道微生物群特征、脓毒症的潜在生物标志物和风险变量。
Gut Microbes. 2020 Nov 9;12(1):1707610. doi: 10.1080/19490976.2019.1707610. Epub 2020 Jan 10.
8
Long non‑coding RNA MALAT1 serves as an independent predictive biomarker for the diagnosis, severity and prognosis of patients with sepsis.长链非编码 RNA MALAT1 可作为脓毒症患者诊断、严重程度和预后的独立预测生物标志物。
Mol Med Rep. 2020 Mar;21(3):1365-1373. doi: 10.3892/mmr.2020.10923. Epub 2020 Jan 9.
9
Lnc-MEG3 acts as a potential biomarker for predicting increased disease risk, systemic inflammation, disease severity, and poor prognosis of sepsis via interacting with miR-21.长链非编码 RNA-MEG3 通过与 miR-21 相互作用,作为预测脓毒症疾病风险增加、全身炎症、疾病严重程度和预后不良的潜在生物标志物。
J Clin Lab Anal. 2020 Apr;34(4):e23123. doi: 10.1002/jcla.23123. Epub 2020 Jan 6.
10
Calprotectin is superior to procalcitonin as a sepsis marker and predictor of 30-day mortality in intensive care patients.钙卫蛋白作为脓毒症标志物优于降钙素原,且可预测重症监护患者 30 天死亡率。
Scand J Clin Lab Invest. 2020 Feb-Apr;80(2):156-161. doi: 10.1080/00365513.2019.1703216. Epub 2019 Dec 14.