用于快速多重检测CRP和IP-10的护理点生物标志物测定。

IF 2.5 4区 医学 Q3 BIOCHEMICAL RESEARCH METHODS SLAS Technology Pub Date : 2023-12-01 DOI:10.1016/j.slast.2023.10.002
Claire S. Wilson , Bhavya Vashi , Pavol Genzor , Melissa K. Gregory , Jason Yau , Lauren Wolfe , Michael J. Lochhead , Phil Papst , Kristen Pettrone , Paul W. Blair , Subramaniam Krishnan , Josh G. Chenoweth , Danielle V. Clark
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引用次数: 0

摘要

免疫蛋白标记物的快速准确测量对于所有临床环境中的诊断和治疗至关重要。最近的疫情表明,迫切需要开发新的工具和检测方法,这些工具和检测可以在不同的环境中快速使用,并为临床医生提供有用的信息。在这里,我们描述了一种新的一步CRP/IP-10双链测定方法的开发和测试应用,该方法用于LightDeck平台,能够在八分钟内提供可重复和准确的测量结果。我们使用优化的测定方法来测量健康、SARS-CoV-2(新冠肺炎)阳性和流感样疾病(ILI)患者的人类血液和血清样本中的CRP和IP-10水平。我们的结果与之前公布的分析物水平一致,使我们能够对多个临床参数进行具有统计学意义的比较。我们的双联检测是一种简单而强大的工具,可以在不同的环境中帮助做出预后决策。
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Point-of-care biomarker assay for rapid multiplexed detection of CRP and IP-10

Rapid and accurate measurements of immune protein markers are essential for diagnosis and treatment in all clinical settings. The recent pandemic has revealed a stark need for developing new tools and assays that could be rapidly used in diverse settings and provide useful information to clinicians. Here, we describe the development and test application of a novel one-step CRP/IP-10 duplex assay for the LightDeck platform capable of delivering reproducible and accurate measurements in under eight minutes. We used the optimized assay to measure CRP and IP-10 levels in human blood and serum samples from healthy, SARS-CoV-2 (COVID-19) positive, and influenza-like illness (ILI) presenting patients. Our results agreed with previously published analyte levels and enabled us to make statistically significant comparisons relevant to multiple clinical parameters. Our duplex assay is a simple and powerful tool for aiding prognostic decision-making in diverse settings.

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来源期刊
SLAS Technology
SLAS Technology Computer Science-Computer Science Applications
CiteScore
6.30
自引率
7.40%
发文量
47
审稿时长
106 days
期刊介绍: SLAS Technology emphasizes scientific and technical advances that enable and improve life sciences research and development; drug-delivery; diagnostics; biomedical and molecular imaging; and personalized and precision medicine. This includes high-throughput and other laboratory automation technologies; micro/nanotechnologies; analytical, separation and quantitative techniques; synthetic chemistry and biology; informatics (data analysis, statistics, bio, genomic and chemoinformatics); and more.
期刊最新文献
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