Multiplexed Salivary miRNA Quantification for Predicting Severe COVID-19 Symptoms in Children Using Ligation-RPA Amplification Assay

2019年冠状病毒病(COVID-19) 结扎 邻近连接试验 严重急性呼吸综合征冠状病毒2型(SARS-CoV-2) 2019-20冠状病毒爆发 多路复用 小RNA 病毒学 唾液 医学 分子生物学 化学 生物 病理 内科学 生物信息学 生物化学 爆发 传染病(医学专业) 疾病 受体 基因
作者
Md. Ahasan Ahamed,Zhikun Zhang,Aneesh Kshirsagar,Anthony J. Politza,Usha Sethuraman,Srinivasan Suresh,Steven D. Hicks,Feng Guo,Weihua Guan
出处
期刊:ACS Sensors [American Chemical Society]
卷期号:10 (7): 5150-5159 被引量:4
标识
DOI:10.1021/acssensors.5c01275
摘要

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 R 2 > 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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