使用结扎- rpa扩增法多重唾液miRNA定量预测儿童COVID-19严重症状

IF 8.2 1区 化学 Q1 CHEMISTRY, ANALYTICAL
Md Ahasan Ahamed, Zhikun Zhang, Aneesh Kshirsagar, Anthony J Politza, Usha Sethuraman, Srinivasan Suresh, Steven Hicks, Feng Guo, Weihua Guan
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引用次数: 0

摘要

虽然大多数感染COVID-19的儿童症状轻微或无症状,但有些儿童可能会出现严重的并发症。早期发现有严重后果风险的儿童对于确保及时有效的干预至关重要。最近的研究发现,唾液microRNA (miRNA)表达水平的变化是预测儿童严重并发症的有希望的生物标志物。然而,仍然需要一种快速、无创、定量的方法来检测miRNA表达水平的变化,因为它们的上调或下调是各种疾病的标志,为基于测序的方法提供了一种替代方法。在这里,我们开发了一种高度特异性和敏感性的连接偶联重组酶聚合酶扩增(RPA)方法,用于在便携式平台上定量检测多重严重和非严重mirna。该实验首先进行miR-1273、miR-296和miR-29的mirna模板化退火和结扎反应,然后进行RPA反应。我们定量100 pM至1 fM,分辨1 fM,特异性100%。接下来,我们验证了便携式提取与台式提取的对比,在临床样品中获得R2 > 0.85和r > 0.92。最后,测试154个临床样本显示,与非严重病例相比,miRNA严重下调。该方法具有较高的诊断准确度,曲线下面积(AUC)为0.98。该平台将使临床医生能够做出明智的决策,优化资源分配,并改善结果,特别是在护理点(POC)环境中。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multiplexed Salivary miRNA Quantification for Predicting Severe COVID-19 Symptoms in Children Using Ligation-RPA Amplification Assay.

While most children with COVID-19 experience mild symptoms or remain asymptomatic, some may develop severe complications. Early identification of children at risk for severe outcomes is essential to ensuring timely and effective intervention. Recent studies have identified alterations in salivary microRNA (miRNA) expression levels as promising biomarkers for predicting severe complications in children. However, there remains a need for a rapid, noninvasive, and quantitative method to detect miRNA expression level changes, as their upregulation or downregulation serves as a hallmark of various diseases, providing an alternative to sequencing-based methods. Here, we developed a highly specific and sensitive ligation-coupled recombinase polymerase amplification (RPA) assay for quantitatively detecting multiplex severe and nonsevere miRNAs on a portable platform. The assay begins with an miRNA-templated annealing and ligation reaction of miR-1273, miR-296, and miR-29, followed by an RPA reaction. We quantified 100 pM to 1 fM, resolving 1 fM, with 100% specificity. Next, we validated portable extraction against benchtop extraction, achieving R2 > 0.85 and r > 0.92 in clinical samples. Finally, testing 154 clinical samples revealed severe miRNA downregulation compared to nonsevere cases. The assay achieved high diagnostic accuracy with an area under the curve (AUC) of 0.98. This platform would empower clinicians to make informed decisions, optimize resource allocation, and improve outcomes, particularly in point-of-care (POC) settings.

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来源期刊
ACS Sensors
ACS Sensors Chemical Engineering-Bioengineering
CiteScore
14.50
自引率
3.40%
发文量
372
期刊介绍: ACS Sensors is a peer-reviewed research journal that focuses on the dissemination of new and original knowledge in the field of sensor science, particularly those that selectively sense chemical or biological species or processes. The journal covers a broad range of topics, including but not limited to biosensors, chemical sensors, gas sensors, intracellular sensors, single molecule sensors, cell chips, and microfluidic devices. It aims to publish articles that address conceptual advances in sensing technology applicable to various types of analytes or application papers that report on the use of existing sensing concepts in new ways or for new analytes.
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