超灵敏S-PLEX sars - cov - 2n电化学发光免疫分析法的诊断准确性

G. Lippi, B. Henry, M. Montagnana, M. Plebani
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引用次数: 7

摘要

我们饶有兴趣地阅读了Ren等人最近的一篇文章[1],他们描述了基于S-PLEX平台(S-PLEX SARS-CoV-2 N Kit;中尺度发现,洛克维尔,马里兰州,美国)。该方法专门用于检测和定量血清、血浆、唾液和鼻咽拭子等多种人体标本中的SARS-CoV-2 N抗原。简单地说,将S-PLEX 96-Well SECTOR或涂有链亲和素的QuickPlex板用于结合生物素偶联捕获的抗sars - cov - 2n抗体,用人类样本进行挑战。在这一步之后,“TURBO-BOOST”标记的检测抗体与固相结合的N抗原反应,在特定试剂成瘾后,产生电化学发光信号并由特定仪器读取。产生的信号与测试样品中存在的N抗原浓度成正比。对该方法的初步评估显示,检测限为0.16 pg/mL,诊断阈值设定为0.32 pg/mL,总不精密度范围为7.0至7.7%[2]。样品体积仅为25 μL,总周转时间在4-5小时之间。由于这项新技术在Ren及其同事手中的唾液样本中显示出出色的诊断性能,具有高达100%的特异性和92%的灵敏度[1],我们在这里提供了一篇重要的文献综述和研究汇总分析,这些研究解决了S-PLEX SARS-CoV-2 N Kit诊断急性SARS-CoV-2感染的准确性。我们在两个科学数据库Medline (PubMed界面)和Scopus中进行了数字检索,使用以下关键词:“S-PLEX”和“COVID-19”或“SARS-CoV-2”,不受语言或日期(即截至2022年2月17日)的限制。文件的初步筛选由G.L.和m.m.进行,目的是选择研究,根据诊断急性SARS-CoV-2感染的参考分子技术评估S-PLEX SARS-CoV-2 N Kit的诊断准确性,并提供足够的可推断信息以构建2×2表。采用Mantel-Haenszel方法和随机效应模型进行汇总分析,评估该方法的诊断敏感性、特异性和准确性(报告为总受者工作特征曲线[SROC]和一致性)。采用χ检验和I统计量评估研究间异质性。采用Meta-DiSc 1.4(西班牙马德里Ramón y Cajal医院临床生物统计学组)进行统计分析[3]。这项分析是根据《赫尔辛基宣言》进行的,并在Martina Montagnana和Mario Plebani共同担任这项工作的高级作者的条件下进行的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Diagnostic accuracy of the ultrasensitive S-PLEX SARS-CoV-2 N electrochemiluminescence immunoassay
We read with interest the recent article of Ren et al. [1], who described the accuracy of an ultrasensitive electrochemiluminescence immunoassay for saliva-based Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) nucleocapsid protein (N) detection based on the S-PLEX platform (S-PLEX SARS-CoV-2 N Kit; Meso Scale Discovery, Rockville, MD, United States). This method has been specifically developed for detecting and quantifying the SARS-CoV-2 N antigen in a variety of human specimens, including serum, plasma, saliva and nasopharyngeal swabs (NPS). Briefly, either S-PLEX 96-Well SECTOR or QuickPlex plates coated with streptavidin for binding biotin-conjugated capture anti-SARS-CoV-2 N antibodies are challenged with human samples. After this step, “TURBO-BOOST”-labeled detection antibodies react with the N antigen bound to the solid phase and, after addiction of a specific reagent, an electrochemiluminescent signal is generated and read by the specific instrument. The signal produced is proportional to the concentration of N antigen present in the test sample. A preliminary evaluation of this assay revealed that the limit of detection is 0.16 pg/mL, with a diagnostic threshold set at 0.32 pg/mL and a total imprecision ranging between 7.0 and 7.7% [2]. The sample volume is only 25 μL, with total turnaround time between 4–5 h. Since this novel technique displayed remarkable diagnostic performance in saliva samples in the hands of Ren and colleagues, exhibiting up to 100% specificity with 92% sensitivity [1], we provide here a critical literature review and pooled analysis of studies which addressed the accuracy of S-PLEX SARS-CoV-2 N Kit for diagnosing acute SARS-CoV-2 infections. We carried out a digital search in the two scientific databases Medline (PubMed interface) and Scopus, using the following keywords: “S-PLEX” AND “COVID-19” OR “SARS-CoV-2”, without no language or date (i.e., up to February 17, 2022) restrictions. The initial screening of documents was conducted by G.L. and M.M., aimed at selecting studies were the diagnostic accuracy of S-PLEX SARS-CoV-2 N Kit was assessed against a reference molecular technique for diagnosing acute SARS-CoV-2 infections, and with sufficient extrapolable information for construction of a 2×2 table. A pooled analysis, based on the Mantel-Haenszel method and random effects model, was employed for estimating the diagnostic sensitivity, specificity and accuracy (reported as Summary Receiver Operating Characteristic Curve [SROC] and agreement) of this method. The inter-study heterogeneity was also assessed with χ test and I statistic. The statistical analysis was performed with Meta-DiSc 1.4 (Unit of Clinical Biostatistics team of the Ramón y Cajal Hospital, Madrid, Spain) [3]. The analysis was carried out in accordance with the Declaration of Helsinki and within the terms of Martina Montagnana and Mario Plebani share senior authorship of this work.
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