• 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

相似文献

1
Longitudinal proteomic profiling provides insights into host response and proteome dynamics in COVID-19 progression.纵向蛋白质组学分析为深入了解 COVID-19 进展过程中的宿主反应和蛋白质组动态提供了线索。
Proteomics. 2021 Jun;21(11-12):e2000278. doi: 10.1002/pmic.202000278. Epub 2021 May 14.
2
Characterization by Quantitative Serum Proteomics of Immune-Related Prognostic Biomarkers for COVID-19 Symptomatology.采用定量血清蛋白质组学对 COVID-19 症状的免疫相关预后生物标志物进行表征。
Front Immunol. 2021 Sep 8;12:730710. doi: 10.3389/fimmu.2021.730710. eCollection 2021.
3
Mass spectrometry-based proteomic platforms for better understanding of SARS-CoV-2 induced pathogenesis and potential diagnostic approaches.基于质谱的蛋白质组学平台,有助于更好地了解 SARS-CoV-2 诱导的发病机制和潜在的诊断方法。
Proteomics. 2021 May;21(10):e2000279. doi: 10.1002/pmic.202000279. Epub 2021 May 5.
4
In-depth blood proteome profiling analysis revealed distinct functional characteristics of plasma proteins between severe and non-severe COVID-19 patients.深入的血液蛋白质组谱分析揭示了重症和非重症 COVID-19 患者血浆蛋白之间明显不同的功能特征。
Sci Rep. 2020 Dec 29;10(1):22418. doi: 10.1038/s41598-020-80120-8.
5
Transcriptional and proteomic insights into the host response in fatal COVID-19 cases.转录组学和蛋白质组学对致死性 COVID-19 病例中宿主反应的研究。
Proc Natl Acad Sci U S A. 2020 Nov 10;117(45):28336-28343. doi: 10.1073/pnas.2018030117. Epub 2020 Oct 20.
6
Progress in understanding COVID-19: insights from the omics approach.对 COVID-19 的认识进展:组学方法的启示。
Crit Rev Clin Lab Sci. 2021 Jun;58(4):242-252. doi: 10.1080/10408363.2020.1851167. Epub 2020 Dec 29.
7
Plasma proteomics identify potential severity biomarkers from COVID-19 associated network.血浆蛋白质组学从 COVID-19 相关网络中鉴定出潜在的严重程度生物标志物。
Proteomics Clin Appl. 2023 Mar;17(2):e2200070. doi: 10.1002/prca.202200070. Epub 2022 Oct 25.
8
Pathological features of COVID-19-associated lung injury: a preliminary proteomics report based on clinical samples.基于临床样本的 COVID-19 相关肺损伤的病理特征:初步蛋白质组学报告。
Signal Transduct Target Ther. 2020 Oct 15;5(1):240. doi: 10.1038/s41392-020-00355-9.
9
Proteomics and Machine Learning Approaches Reveal a Set of Prognostic Markers for COVID-19 Severity With Drug Repurposing Potential.蛋白质组学和机器学习方法揭示了一组具有药物再利用潜力的COVID-19严重程度预后标志物。
Front Physiol. 2021 Apr 27;12:652799. doi: 10.3389/fphys.2021.652799. eCollection 2021.
10
Proteomic characteristics of bronchoalveolar lavage fluid in critical COVID-19 patients.危重症 COVID-19 患者支气管肺泡灌洗液的蛋白质组学特征。
FEBS J. 2021 Sep;288(17):5190-5200. doi: 10.1111/febs.15609. Epub 2020 Nov 16.

引用本文的文献

1
Plasma proteomic profiling of hospitalized patients co-infected with HIV and SARS-CoV-2.同时感染HIV和SARS-CoV-2的住院患者的血浆蛋白质组学分析
Front Immunol. 2025 Jun 11;16:1601672. doi: 10.3389/fimmu.2025.1601672. eCollection 2025.
2
Longitudinal proteomic analysis of pathophysiology in plasma and bronchoalveolar lavage fluid of patients with ARDS.急性呼吸窘迫综合征患者血浆和支气管肺泡灌洗液体病理生理学的纵向蛋白质组学分析
J Intensive Care. 2025 May 15;13(1):26. doi: 10.1186/s40560-025-00793-z.
3
Plasma proteomic profiles correlate with organ dysfunction in COVID-19 ARDS.血浆蛋白质组学图谱与新冠病毒感染相关急性呼吸窘迫综合征中的器官功能障碍相关。
Physiol Rep. 2025 Apr;13(7):e70300. doi: 10.14814/phy2.70300.
4
Comparison of the Human Plasma Peptides from the Fit of Fragmentation Spectra versus Accurate Monoisotopic Precursor Mass.基于碎片谱拟合与精确单同位素前体质量对人血浆肽进行的比较。
ACS Omega. 2025 Mar 10;10(11):10796-10811. doi: 10.1021/acsomega.4c06211. eCollection 2025 Mar 25.
5
Bioinformatics and molecular biology tools for diagnosis, prevention, treatment and prognosis of COVID-19.用于COVID-19诊断、预防、治疗和预后的生物信息学与分子生物学工具
Heliyon. 2024 Jul 11;10(14):e34393. doi: 10.1016/j.heliyon.2024.e34393. eCollection 2024 Jul 30.
6
4D-DIA Proteomics Uncovers New Insights into Host Salivary Response Following SARS-CoV-2 Omicron Infection.4D-DIA蛋白质组学揭示了新冠病毒奥密克戎变异株感染后宿主唾液反应的新见解。
J Proteome Res. 2025 Feb 7;24(2):499-514. doi: 10.1021/acs.jproteome.4c00630. Epub 2025 Jan 13.
7
Trypsin Digestion Conditions of Human Plasma for Observation of Peptides and Proteins from Tandem Mass Spectrometry.用于串联质谱法观察肽和蛋白质的人血浆胰蛋白酶消化条件
ACS Omega. 2024 Sep 24;9(40):41343-41354. doi: 10.1021/acsomega.4c03955. eCollection 2024 Oct 8.
8
The Impact of Serum/Plasma Proteomics on SARS-CoV-2 Diagnosis and Prognosis.血清/血浆蛋白质组学对 SARS-CoV-2 诊断和预后的影响。
Int J Mol Sci. 2024 Aug 8;25(16):8633. doi: 10.3390/ijms25168633.
9
Whole blood transcriptome signature predicts severe forms of COVID-19: Results from the COVIDeF cohort study.全血转录组特征可预测 COVID-19 的严重形式:COVIDeF 队列研究结果。
Funct Integr Genomics. 2024 May 21;24(3):107. doi: 10.1007/s10142-024-01359-2.
10
Plasma Proteomics Elucidated a Protein Signature in COVID-19 Patients with Comorbidities and Early-Diagnosis Biomarkers.血浆蛋白质组学揭示了合并症COVID-19患者的蛋白质特征及早期诊断生物标志物。
Biomedicines. 2024 Apr 10;12(4):840. doi: 10.3390/biomedicines12040840.

本文引用的文献

1
Proteomic Biomarkers to Guide Stratification for Covid-19 Treatment: Exemplifying a Path Forward Toward Implementation?蛋白质组学生物标志物指导新冠治疗分层:是否为实施提供了前进道路的范例?
Proteomics. 2020 Dec;20(24):e2000229. doi: 10.1002/pmic.202000229. Epub 2020 Nov 3.
2
Urinary Proteomics Associates with COVID-19 Severity: Pilot Proof-of-Principle Data and Design of a Multicentric Diagnostic Study.尿液蛋白质组学与COVID-19严重程度相关:多中心诊断研究的初步原理验证数据及设计
Proteomics. 2020 Sep 10:e2000202. doi: 10.1002/pmic.202000202.
3
The type I interferon response in COVID-19: implications for treatment.COVID-19 中的 I 型干扰素反应:治疗意义。
Nat Rev Immunol. 2020 Oct;20(10):585-586. doi: 10.1038/s41577-020-00429-3.
4
Proteomic biomarkers in mid-trimester amniotic fluid associated with adverse pregnancy outcomes in patients with systemic lupus erythematosus.中期羊水蛋白质组学生物标志物与系统性红斑狼疮患者不良妊娠结局的关系。
PLoS One. 2020 Jul 17;15(7):e0235838. doi: 10.1371/journal.pone.0235838. eCollection 2020.
5
Impaired type I interferon activity and inflammatory responses in severe COVID-19 patients.严重 COVID-19 患者的 I 型干扰素活性和炎症反应受损。
Science. 2020 Aug 7;369(6504):718-724. doi: 10.1126/science.abc6027. Epub 2020 Jul 13.
6
Proteomics and Informatics for Understanding Phases and Identifying Biomarkers in COVID-19 Disease.蛋白质组学和信息学在理解 COVID-19 疾病的阶段和鉴定生物标志物中的应用。
J Proteome Res. 2020 Nov 6;19(11):4219-4232. doi: 10.1021/acs.jproteome.0c00326. Epub 2020 Jul 24.
7
Ultra-High-Throughput Clinical Proteomics Reveals Classifiers of COVID-19 Infection.超高通量临床蛋白质组学揭示 COVID-19 感染的分类器。
Cell Syst. 2020 Jul 22;11(1):11-24.e4. doi: 10.1016/j.cels.2020.05.012. Epub 2020 Jun 2.
8
Platelet gene expression and function in patients with COVID-19.新型冠状病毒肺炎患者的血小板基因表达和功能。
Blood. 2020 Sep 10;136(11):1317-1329. doi: 10.1182/blood.2020007214.
9
A summary of the diagnostic and prognostic value of hemocytometry markers in COVID-19 patients.COVID-19 患者血液细胞计数标志物的诊断和预后价值总结。
Crit Rev Clin Lab Sci. 2020 Sep;57(6):415-431. doi: 10.1080/10408363.2020.1774736. Epub 2020 Jun 22.
10
Identification and Validation of a Novel Clinical Signature to Predict the Prognosis in Confirmed Coronavirus Disease 2019 Patients.鉴定和验证一种新的临床特征,以预测确诊的 2019 年冠状病毒病患者的预后。
Clin Infect Dis. 2020 Dec 15;71(12):3154-3162. doi: 10.1093/cid/ciaa793.

纵向蛋白质组学分析为深入了解 COVID-19 进展过程中的宿主反应和蛋白质组动态提供了线索。

Longitudinal proteomic profiling provides insights into host response and proteome dynamics in COVID-19 progression.

机构信息

Department of Laboratory Medicine, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, South Korea.

Proteomics Core Facility, Biomedical Research Institute, Seoul National University Hospital, Seoul, Korea.

出版信息

Proteomics. 2021 Jun;21(11-12):e2000278. doi: 10.1002/pmic.202000278. Epub 2021 May 14.

DOI:10.1002/pmic.202000278
PMID:33945677
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8206655/
Abstract

In managing patients with coronavirus disease 2019 (COVID-19), early identification of those at high risk and real-time monitoring of disease progression to severe COVID-19 is a major challenge. We aimed to identify potential early prognostic protein markers and to expand understanding of proteome dynamics during clinical progression of the disease. We performed in-depth proteome profiling on 137 sera, longitudinally collected from 25 patients with COVID-19 (non-severe patients, n = 13; patients who progressed to severe COVID-19, n = 12). We identified 11 potential biomarkers, including the novel markers IGLV3-19 and BNC2, as early potential prognostic indicators of severe COVID-19. These potential biomarkers are mainly involved in biological processes associated with humoral immune response, interferon signalling, acute phase response, lipid metabolism, and platelet degranulation. We further revealed that the longitudinal changes of 40 proteins persistently increased or decreased as the disease progressed to severe COVID-19. These 40 potential biomarkers could effectively reflect the clinical progression of the disease. Our findings provide some new insights into host response to SARS-CoV-2 infection, which are valuable for understanding of COVID-19 disease progression. This study also identified potential biomarkers that could be further validated, which may support better predicting and monitoring progression to severe COVID-19.

摘要

在管理 2019 冠状病毒病(COVID-19)患者时,早期识别高危人群并实时监测疾病向重症 COVID-19 的进展是一个主要挑战。我们旨在确定潜在的早期预后蛋白标志物,并扩展对疾病临床进展过程中蛋白质组动态的理解。我们对 25 例 COVID-19 患者(非重症患者,n = 13;进展为重症 COVID-19 的患者,n = 12)的 137 份血清进行了深入的蛋白质组谱分析。我们确定了 11 个潜在的生物标志物,包括新的标志物 IGLV3-19 和 BNC2,它们是重症 COVID-19 的早期潜在预后指标。这些潜在的生物标志物主要涉及与体液免疫反应、干扰素信号、急性期反应、脂质代谢和血小板脱颗粒相关的生物学过程。我们进一步揭示,随着疾病进展为重症 COVID-19,40 种蛋白质的纵向变化持续增加或减少。这 40 个潜在的生物标志物可以有效地反映疾病的临床进展。我们的研究结果为宿主对 SARS-CoV-2 感染的反应提供了一些新的见解,这对于理解 COVID-19 疾病的进展具有重要价值。本研究还鉴定了一些潜在的生物标志物,可以进一步验证,这可能有助于更好地预测和监测向重症 COVID-19 的进展。