• 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

用于根据疾病严重程度对新冠肺炎患者进行分层的等离子体诱导纳米颗粒聚集

Plasma-induced nanoparticle aggregation for stratifying COVID-19 patients according to disease severity.

作者信息

Santopolo Giulia, Clemente Antonio, González-Freire Marta, Russell Steven M, Vaquer Andreu, Barón Enrique, Aranda María, Socias Antonia, Del Castillo Alberto, Borges Marcio, de la Rica Roberto

机构信息

Multidisciplinary Sepsis Group, Health Research Institute of the Balearic Islands (IdISBa), 07120 Palma, Spain.

University of the Balearic Islands (UIB), Chemistry Department, 07122 Palma, Spain.

出版信息

Sens Actuators B Chem. 2022 Dec 15;373:132638. doi: 10.1016/j.snb.2022.132638. Epub 2022 Sep 15.

DOI:10.1016/j.snb.2022.132638
PMID:36124254
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9476366/
Abstract

Stratifying patients according to disease severity has been a major hurdle during the COVID-19 pandemic. This usually requires evaluating the levels of several biomarkers, which may be cumbersome when rapid decisions are required. In this manuscript we show that a single nanoparticle aggregation test can be used to distinguish patients that require intensive care from those that have already been discharged from the intensive care unit (ICU). It consists of diluting a platelet-free plasma sample and then adding gold nanoparticles. The nanoparticles aggregate to a larger extent when the samples are obtained from a patient in the ICU. This changes the color of the colloidal suspension, which can be evaluated by measuring the pixel intensity of a photograph. Although the exact factor or combination of factors behind the different aggregation behavior is unknown, control experiments demonstrate that the presence of proteins in the samples is crucial for the test to work. Principal component analysis demonstrates that the test result is highly correlated to biomarkers of prognosis and inflammation that are commonly used to evaluate the severity of COVID-19 patients. The results shown here pave the way to develop nanoparticle aggregation assays that classify COVID-19 patients according to disease severity, which could be useful to de-escalate care safely and make a better use of hospital resources.

摘要

在新冠疫情期间,根据疾病严重程度对患者进行分层一直是一个主要障碍。这通常需要评估多种生物标志物的水平,而在需要快速做出决策时,这可能会很麻烦。在本论文中,我们表明,一种单一的纳米颗粒聚集试验可用于区分需要重症监护的患者和已经从重症监护病房(ICU)出院的患者。该试验包括稀释无血小板血浆样本,然后添加金纳米颗粒。当从ICU患者获取样本时,纳米颗粒的聚集程度更大。这会改变胶体悬浮液的颜色,可通过测量照片的像素强度来评估。尽管不同聚集行为背后的确切因素或因素组合尚不清楚,但对照实验表明,样本中蛋白质的存在对该试验的有效性至关重要。主成分分析表明,试验结果与常用于评估新冠患者严重程度的预后和炎症生物标志物高度相关。此处所示结果为开发根据疾病严重程度对新冠患者进行分类的纳米颗粒聚集测定法铺平了道路,这可能有助于安全地降低护理级别并更好地利用医院资源。

相似文献

1
Plasma-induced nanoparticle aggregation for stratifying COVID-19 patients according to disease severity.用于根据疾病严重程度对新冠肺炎患者进行分层的等离子体诱导纳米颗粒聚集
Sens Actuators B Chem. 2022 Dec 15;373:132638. doi: 10.1016/j.snb.2022.132638. Epub 2022 Sep 15.
2
Lymphocyte-C-reactive protein ratio can differentiate disease severity of COVID-19 patients and serve as an assistant screening tool for hospital and ICU admission.淋巴细胞与 C 反应蛋白比值可区分 COVID-19 患者的疾病严重程度,并可作为医院和 ICU 收治的辅助筛查工具。
Front Immunol. 2022 Sep 23;13:957407. doi: 10.3389/fimmu.2022.957407. eCollection 2022.
3
SARS-CoV-2 Infection-Dependent Modulation in Vital Components of the Serum Profile of Severely SARS-CoV-2 Infected Patients.严重感染SARS-CoV-2患者血清谱关键成分中SARS-CoV-2感染依赖性调节
Infect Drug Resist. 2024 Apr 29;17:1653-1667. doi: 10.2147/IDR.S463238. eCollection 2024.
4
How do routine laboratory tests change in coronavirus disease 2019?常规实验室检查在 2019 冠状病毒病中有哪些变化?
Scand J Clin Lab Invest. 2021 Feb;81(1):24-33. doi: 10.1080/00365513.2020.1855470. Epub 2020 Dec 20.
5
Covid-19: contribution of clinical characteristics and laboratory features for early detection of patients with high risk of severe evolution.Covid-19:临床特征和实验室特征对早期发现高危重症患者的贡献。
Acta Clin Belg. 2022 Apr;77(2):261-267. doi: 10.1080/17843286.2020.1822078. Epub 2020 Sep 16.
6
Neutrophil to lymphocyte ratio, lymphocyte to monocyte ratio and platelet to lymphocyte ratio to predict the severity of COVID-19.中性粒细胞与淋巴细胞比值、淋巴细胞与单核细胞比值及血小板与淋巴细胞比值预测 COVID-19 严重程度。
Am J Emerg Med. 2021 Feb;40:110-114. doi: 10.1016/j.ajem.2020.11.058. Epub 2020 Dec 6.
7
Reference Ranges for Hematological and Biochemical Profile of Martina Franca Donkeys.马尔蒂纳·弗兰卡驴血液学和生化指标参考范围
Front Vet Sci. 2020 Dec 18;7:602984. doi: 10.3389/fvets.2020.602984. eCollection 2020.
8
Association between platelet indices and the severity of the disease and mortality in patients with COVID-19.血小板指标与 COVID-19 患者疾病严重程度和死亡率的关系。
Eur Rev Med Pharmacol Sci. 2021 Nov;25(21):6731-6740. doi: 10.26355/eurrev_202111_27118.
9
[Expressions of MPV, P-LCR and NLR in patients with novel coronavirus disease 2019].[2019年新型冠状病毒病患者中MPV、P-LCR和NLR的表达]
Zhonghua Yu Fang Yi Xue Za Zhi. 2021 Jul 6;55(7):890-895. doi: 10.3760/cma.j.cn112150-20200705-00973.
10
The role of inflammatory indices in the outcome of COVID-19 cancer patients.炎症指标在 COVID-19 癌症患者结局中的作用。
Med Oncol. 2021 Nov 8;39(1):6. doi: 10.1007/s12032-021-01605-8.

引用本文的文献

1
Coronavirus Anatomy and Its Analytical Approaches for Targeting COVID-19.冠状病毒结构及其针对 COVID-19 的分析方法。
Adv Exp Med Biol. 2024;1457:33-44. doi: 10.1007/978-3-031-61939-7_2.
2
Effect of nanoshell geometries, sizes, and quantum emitter parameters on the sensitivity of plasmon-exciton hybrid nanoshells for sensing application.纳米壳的几何形状、尺寸和量子发射器参数对用于传感应用的等离子激元-激子杂化纳米壳的灵敏度的影响。
Sci Rep. 2023 Jul 13;13(1):11325. doi: 10.1038/s41598-023-38475-1.

本文引用的文献

1
Visual diagnosis of COVID-19 disease based on serum metabolites using a paper-based electronic tongue.基于纸质电子舌的血清代谢物对 COVID-19 疾病的可视化诊断。
Anal Chim Acta. 2022 Sep 15;1226:340286. doi: 10.1016/j.aca.2022.340286. Epub 2022 Aug 22.
2
Improving the Quantification of Colorimetric Signals in Paper-Based Immunosensors with an Open-Source Reader.利用开源读码器提高纸基免疫传感器比色信号的定量检测能力。
Sensors (Basel). 2022 Feb 27;22(5):1880. doi: 10.3390/s22051880.
3
Serum ferritin as a predictive biomarker in COVID-19. A systematic review, meta-analysis and meta-regression analysis.
血清铁蛋白作为 COVID-19 的预测生物标志物:系统评价、荟萃分析和荟萃回归分析。
J Crit Care. 2022 Feb;67:172-181. doi: 10.1016/j.jcrc.2021.09.023. Epub 2021 Nov 20.
4
Blood Hemoglobin Substantially Modulates the Impact of Gender, Morbid Obesity, and Hyperglycemia on COVID-19 Death Risk: A Multicenter Study in Italy and Spain.血液血红蛋白极大地调节了性别、病态肥胖和高血糖对 COVID-19 死亡风险的影响:意大利和西班牙的多中心研究。
Front Endocrinol (Lausanne). 2021 Nov 2;12:741248. doi: 10.3389/fendo.2021.741248. eCollection 2021.
5
Colorimetric Detection of Sepsis-Derived Hyperdegranulation with Plasmonic Nanosensors.基于等离子体纳米传感器的脓毒症所致超颗粒化的比色检测
ACS Sens. 2021 Dec 24;6(12):4443-4450. doi: 10.1021/acssensors.1c01884. Epub 2021 Nov 18.
6
Self-Complementary Zwitterionic Peptides Direct Nanoparticle Assembly and Enable Enzymatic Selection of Endocytic Pathways.自互补两性离子肽指导纳米颗粒组装并实现内吞途径的酶选择。
Adv Mater. 2022 Jan;34(1):e2104962. doi: 10.1002/adma.202104962. Epub 2021 Oct 20.
7
Role of platelet-to-lymphocyte count ratio (PLR), as a prognostic indicator in COVID-19: A systematic review and meta-analysis.血小板与淋巴细胞比值(PLR)在 COVID-19 中的预后作用:系统评价和荟萃分析。
J Med Virol. 2022 Jan;94(1):211-221. doi: 10.1002/jmv.27297. Epub 2021 Aug 31.
8
INR and COVID-19 severity and mortality: A systematic review with meta-analysis and meta-regression.国际标准化比值(INR)与 COVID-19 严重程度和死亡率:系统评价与荟萃分析和荟萃回归。
Adv Med Sci. 2021 Sep;66(2):372-380. doi: 10.1016/j.advms.2021.07.009. Epub 2021 Jul 21.
9
Diagnostic Value of D-Dimer in COVID-19: A Meta-Analysis and Meta-Regression.D-二聚体在 COVID-19 中的诊断价值:荟萃分析和荟萃回归。
Clin Appl Thromb Hemost. 2021 Jan-Dec;27:10760296211010976. doi: 10.1177/10760296211010976.
10
The role of C-reactive protein as a prognostic marker in COVID-19.C反应蛋白在2019冠状病毒病中作为预后标志物的作用。
Int J Epidemiol. 2021 May 17;50(2):420-429. doi: 10.1093/ije/dyab012.