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逆转录环介导等温扩增技术作为猪流感病毒检测的诊断工具

RT-LAMP as Diagnostic Tool for Influenza-A Virus Detection in Swine.

作者信息

Storms Suzanna M, Shisler Joanna, Nguyen Thanh H, Zuckermann Federico A, Lowe James F

机构信息

Department of Veterinary Clinical Medicine, University of Illinois at Urbana-Champaign, Urbana, IL 61802, USA.

Department of Microbiology, University of Illinois at Urbana-Champaign, Urbana, IL 61802, USA.

出版信息

Vet Sci. 2023 Mar 13;10(3):220. doi: 10.3390/vetsci10030220.

Abstract

Point-of-care diagnostic technologies are becoming more widely available for production species. Here, we describe the application of reverse transcription loop-mediated isothermal amplification (RT-LAMP) to detect the matrix (M) gene of influenza A virus in swine (IAV-S). M-specific LAMP primers were designed based on M gene sequences from IAV-S isolated in the USA between 2017 and 2020. The LAMP assay was incubated at 65 °C for 30 min, with the fluorescent signal read every 20 s. The assay's limit of detection (LOD) was 20 M gene copies for direct LAMP of the matrix gene standard, and 100 M gene copies when using spiked extraction kits. The LOD was 1000 M genes when using cell culture samples. Detection in clinical samples showed a sensitivity of 94.3% and a specificity of 94.9%. These results show that the influenza M gene RT-LAMP assay can detect the presence of IAV in research laboratory conditions. With the appropriate fluorescent reader and heat block, the assay could be quickly validated as a low-cost, rapid, IAV-S screening tool for use on farms or in clinical diagnostic labs.

摘要

即时检测诊断技术在生产性养殖动物中越来越广泛可用。在此,我们描述了逆转录环介导等温扩增技术(RT-LAMP)在检测猪甲型流感病毒(IAV-S)基质(M)基因中的应用。基于2017年至2020年在美国分离的IAV-S的M基因序列设计了M特异性LAMP引物。LAMP检测在65°C下孵育30分钟,每20秒读取荧光信号。该检测方法对基质基因标准品直接进行LAMP的检测限(LOD)为20个M基因拷贝,使用加标提取试剂盒时为100个M基因拷贝。使用细胞培养样本时LOD为1000个M基因。临床样本检测显示敏感性为94.3%,特异性为94.9%。这些结果表明,流感M基因RT-LAMP检测方法在研究实验室条件下可检测IAV的存在。配备合适的荧光读数仪和加热模块,该检测方法可迅速被验证为一种低成本、快速的IAV-S筛查工具,用于农场或临床诊断实验室。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b363/10051247/180dcbfc2a02/vetsci-10-00220-g001.jpg

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