脓毒症生物标志物
Sepsis Biomarkers.
作者信息
Wong Hector R
机构信息
Division of Critical Care Medicine, Cincinnati Children's Hospital Medical Center and Cincinnati Children's Research Foundation, Cincinnati, Ohio, United States.
Department of Pediatrics, University of Cincinnati College of Medicine, University of Cincinnati, Cincinnati, Ohio, United States.
出版信息
J Pediatr Intensive Care. 2019 Mar;8(1):11-16. doi: 10.1055/s-0038-1677537. Epub 2019 Jan 11.
Abstract
Sepsis-related biomarkers have a variety of potential applications. The most well-known application is to differentiate patients with signs of systemic inflammation caused by infection, from those with systemic inflammation due to a non-infectious cause. This application is important for timely and judicious prescription of antibiotics. Apart from diagnostic applications, biomarkers can also be used to identify patients with sepsis who are at risk for poor outcome and to subgroup patients with sepsis based on biological commonalities. The latter two applications embody the concepts of prognostic and predictive enrichment, which are fundamental to precision medicine. This review will elaborate on these concepts, provide relevant examples, and discuss important considerations in the process of biomarkers discovery and development.
摘要
脓毒症相关生物标志物有多种潜在应用。最广为人知的应用是区分由感染引起的全身炎症体征患者与非感染性原因导致的全身炎症患者。这种应用对于及时、合理地使用抗生素至关重要。除了诊断应用外，生物标志物还可用于识别预后不良风险的脓毒症患者，并根据生物学共性对脓毒症患者进行亚组划分。后两种应用体现了预后富集和预测富集的概念，这是精准医学的基础。本综述将详细阐述这些概念，提供相关实例，并讨论生物标志物发现和开发过程中的重要注意事项。
相似文献
1
Sepsis Biomarkers.脓毒症生物标志物
J Pediatr Intensive Care. 2019 Mar;8(1):11-16. doi: 10.1055/s-0038-1677537. Epub 2019 Jan 11.
2
Pediatric sepsis biomarkers for prognostic and predictive enrichment.儿科脓毒症生物标志物用于预后和预测富集。
Pediatr Res. 2022 Jan;91(2):283-288. doi: 10.1038/s41390-021-01620-5. Epub 2021 Jun 14.
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
Biomarkers and Precision Medicine: State of the Art.生物标志物与精准医学：现状。
Crit Care Clin. 2020 Jan;36(1):155-165. doi: 10.1016/j.ccc.2019.08.012. Epub 2019 Oct 22.
5
Head-to-head comparison of procalcitonin and presepsin for the diagnosis of sepsis in critically ill adult patients: a protocol for a systematic review and meta-analysis.降钙素原与可溶性髓系细胞触发受体-1在危重症成年患者脓毒症诊断中的头对头比较：一项系统评价和荟萃分析方案
BMJ Open. 2017 Mar 6;7(3):e014305. doi: 10.1136/bmjopen-2016-014305.
6
A Molecular Host Response Assay to Discriminate Between Sepsis and Infection-Negative Systemic Inflammation in Critically Ill Patients: Discovery and Validation in Independent Cohorts.一种用于区分重症患者脓毒症与感染阴性全身炎症反应的分子宿主反应检测方法：在独立队列中的发现与验证
PLoS Med. 2015 Dec 8;12(12):e1001916. doi: 10.1371/journal.pmed.1001916. eCollection 2015 Dec.
7
Biomarkers to improve diagnostic and prognostic accuracy in systemic infections.用于提高全身感染诊断和预后准确性的生物标志物。
Curr Opin Crit Care. 2007 Oct;13(5):578-85. doi: 10.1097/MCC.0b013e3282c9ac2a.
8
Personalized medicine with IgGAM compared with standard of care for treatment of peritonitis after infectious source control (the PEPPER trial): study protocol for a randomized controlled trial.与感染源控制后腹膜炎治疗的标准治疗方案相比，免疫球蛋白A（IgGAM）个体化治疗（PEPPER试验）：一项随机对照试验的研究方案。
Trials. 2019 Mar 4;20(1):156. doi: 10.1186/s13063-019-3244-4.
9
Clinical diagnosis of sepsis and the combined use of biomarkers and culture- and non-culture-based assays.脓毒症的临床诊断以及生物标志物与基于培养和非培养检测方法的联合应用。
Methods Mol Biol. 2015;1237:247-60. doi: 10.1007/978-1-4939-1776-1_19.
10
Precision Medicine for Neonatal Sepsis.新生儿败血症的精准医学
Front Mol Biosci. 2018 Jul 26;5:70. doi: 10.3389/fmolb.2018.00070. eCollection 2018.
引用本文的文献
1
Plasma proteomics in pediatric patients with sepsis- hopes and challenges.脓毒症患儿的血浆蛋白质组学——希望与挑战
Clin Proteomics. 2025 Mar 18;22(1):10. doi: 10.1186/s12014-025-09533-9.
2
"Association between BNP and all-cause mortality in critically ill children: a cohort study based on the PIC database".危重症儿童中脑钠肽（BNP）与全因死亡率的关联：一项基于PIC数据库的队列研究
Pediatr Res. 2025 Jun;97(7):2185-2186. doi: 10.1038/s41390-025-03883-8. Epub 2025 Jan 25.
3
Establishment and assessment of mortality risk prediction model in patients with sepsis based on early-stage peripheral lymphocyte subsets.基于早期外周血淋巴细胞亚群的脓毒症患者死亡风险预测模型的建立与评估。
Aging (Albany NY). 2024 Apr 25;16(8):7460-7473. doi: 10.18632/aging.205772.
4
Biomarkers for the Prediction and Judgement of Sepsis and Sepsis Complications: A Step towards ?用于预测和判断脓毒症及脓毒症并发症的生物标志物：迈向？
J Clin Med. 2022 Sep 29;11(19):5782. doi: 10.3390/jcm11195782.
5
Biomarker combinations in predicting sepsis in hospitalized children with fever.用于预测住院发热儿童脓毒症的生物标志物组合。
BMC Pediatr. 2022 May 12;22(1):272. doi: 10.1186/s12887-022-03285-3.
6
Omics of endothelial cell dysfunction in sepsis.脓毒症中内皮细胞功能障碍的组学研究
Vasc Biol. 2022 Apr 7;4(1):R15-R34. doi: 10.1530/VB-22-0003. eCollection 2022 Feb 1.
7
Cell Population Data (CPD) for Early Recognition of Sepsis and Septic Shock in Children: A Pilot Study.用于儿童脓毒症和脓毒性休克早期识别的细胞群体数据（CPD）：一项初步研究。
Front Pediatr. 2021 Mar 8;9:642377. doi: 10.3389/fped.2021.642377. eCollection 2021.
8
Procalcitonin Levels in Post TACE Infection.经动脉化疗栓塞术后感染中的降钙素原水平
Cancer Manag Res. 2020 Nov 26;12:12197-12203. doi: 10.2147/CMAR.S281667. eCollection 2020.
9
Predicting mortality in pediatric sepsis: A laudable but elusive goal.预测儿童脓毒症的死亡率：一个值得称赞但难以实现的目标。
J Pediatr (Rio J). 2021 May-Jun;97(3):260-263. doi: 10.1016/j.jped.2020.10.002. Epub 2020 Oct 25.
10
Machine learning based refined differential gene expression analysis of pediatric sepsis.基于机器学习的小儿脓毒症精细化差异基因表达分析。
BMC Med Genomics. 2020 Aug 28;13(1):122. doi: 10.1186/s12920-020-00771-4.
本文引用的文献
1
Simplification of a Septic Shock Endotyping Strategy for Clinical Application.简化用于临床应用的脓毒症休克分型策略
Am J Respir Crit Care Med. 2017 Jan 15;195(2):263-265. doi: 10.1164/rccm.201607-1535LE.
2
Promise and Limitations of Procalcitonin to Identify Bacterial Infections in the Pediatric Intensive Care Unit.降钙素原在儿科重症监护病房识别细菌感染中的前景与局限性
J Pediatr. 2016 Dec;179:7-9. doi: 10.1016/j.jpeds.2016.09.031. Epub 2016 Oct 4.
3
Olfactomedin-4 Is a Candidate Marker for a Pathogenic Neutrophil Subset in Septic Shock.嗅觉介质蛋白4是脓毒症休克中致病性中性粒细胞亚群的候选标志物。
Crit Care Med. 2017 Apr;45(4):e426-e432. doi: 10.1097/CCM.0000000000002102.
4
Value of Procalcitonin Measurement for Early Evidence of Severe Bacterial Infections in the Pediatric Intensive Care Unit.降钙素原检测在儿科重症监护病房中用于早期发现严重细菌感染的价值。
J Pediatr. 2016 Dec;179:74-81.e2. doi: 10.1016/j.jpeds.2016.07.045. Epub 2016 Aug 29.
5
Association of RNA Biosignatures With Bacterial Infections in Febrile Infants Aged 60 Days or Younger.60日龄及以下发热婴儿中RNA生物标志物与细菌感染的关联
JAMA. 2016;316(8):846-57. doi: 10.1001/jama.2016.9207.
6
Diagnostic Test Accuracy of a 2-Transcript Host RNA Signature for Discriminating Bacterial vs Viral Infection in Febrile Children.用于鉴别发热儿童细菌感染与病毒感染的双转录本宿主RNA特征的诊断测试准确性
JAMA. 2016;316(8):835-45. doi: 10.1001/jama.2016.11236.
7
Emerging infection and sepsis biomarkers: will they change current therapies?新兴感染与脓毒症生物标志物：它们会改变当前的治疗方法吗？
Expert Rev Anti Infect Ther. 2016 Oct;14(10):929-41. doi: 10.1080/14787210.2016.1222272. Epub 2016 Aug 17.
8
Pediatric Sepsis Biomarker Risk Model-II: Redefining the Pediatric Sepsis Biomarker Risk Model With Septic Shock Phenotype.小儿脓毒症生物标志物风险模型-II：用感染性休克表型重新定义小儿脓毒症生物标志物风险模型
Crit Care Med. 2016 Nov;44(11):2010-2017. doi: 10.1097/CCM.0000000000001852.
9
Robust classification of bacterial and viral infections via integrated host gene expression diagnostics.通过整合宿主基因表达诊断实现细菌和病毒感染的稳健分类。
Sci Transl Med. 2016 Jul 6;8(346):346ra91. doi: 10.1126/scitranslmed.aaf7165.
10
Combining Prognostic and Predictive Enrichment Strategies to Identify Children With Septic Shock Responsive to Corticosteroids.结合预后和预测性富集策略以识别对皮质类固醇有反应的感染性休克儿童。
Crit Care Med. 2016 Oct;44(10):e1000-3. doi: 10.1097/CCM.0000000000001833.
Zotero 插件