Low-cost high-throughput targeted sequencing for the accurate detection of respiratory tract pathogens.

IF 1.4 4区 医学 Q4 INFECTIOUS DISEASES Journal of Infection in Developing Countries Pub Date : 2024-09-30 DOI:10.3855/jidc.19685
Changyan Ju, Chengbosen Zhou, Zhezhi Deng, Jingwei Gao, Weizhao Jiang, Hanbing Zeng, Haiwei Huang, Yongxiang Duan, David X Deng
{"title":"Low-cost high-throughput targeted sequencing for the accurate detection of respiratory tract pathogens.","authors":"Changyan Ju, Chengbosen Zhou, Zhezhi Deng, Jingwei Gao, Weizhao Jiang, Hanbing Zeng, Haiwei Huang, Yongxiang Duan, David X Deng","doi":"10.3855/jidc.19685","DOIUrl":null,"url":null,"abstract":"<p><strong>Introduction: </strong>The current gold standard for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) diagnosis by real-time reverse transcriptase polymerase chain reaction (RT-PCR) is limited by the number of genes that can be detected. In this study, we developed a low-cost and high-throughput next-generation sequencing technology that can overcome the limitations of real time RT-PCR.</p><p><strong>Methodology: </strong>A targeted sequencing panel (TSP) consisting of approximately 500 amplicons was designed. This panel could simultaneously detect a broad range of gene loci of SARS-CoV-2, and genes for the most common infectious viruses that affect the respiratory tract, in a single run and could include up to 96 samples. Four hundred and forty-eight samples and 31 control samples were analyzed independently with both TSP and RT-PCR, and the results were compared for accuracy and other indicators.</p><p><strong>Results: </strong>TSP identified 50 SARS-CoV-2 positive samples with a 99.33% match to RT-PCR results. It is not surprising that TSP also identified multiple infections from the 96 samples, whereas RT-PCR could not. Thus, TSP was able to accurately diagnose the samples which could not be identified based on single RT-PCR test.</p><p><strong>Conclusions: </strong>Our data demonstrated that TSP is a fast and accurate testing method for identifying multiple pathogen infections of the respiratory tract.</p>","PeriodicalId":49160,"journal":{"name":"Journal of Infection in Developing Countries","volume":"18 9.1","pages":"S50-S55"},"PeriodicalIF":1.4000,"publicationDate":"2024-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Infection in Developing Countries","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.3855/jidc.19685","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"INFECTIOUS DISEASES","Score":null,"Total":0}
引用次数: 0

Abstract

Introduction: The current gold standard for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) diagnosis by real-time reverse transcriptase polymerase chain reaction (RT-PCR) is limited by the number of genes that can be detected. In this study, we developed a low-cost and high-throughput next-generation sequencing technology that can overcome the limitations of real time RT-PCR.

Methodology: A targeted sequencing panel (TSP) consisting of approximately 500 amplicons was designed. This panel could simultaneously detect a broad range of gene loci of SARS-CoV-2, and genes for the most common infectious viruses that affect the respiratory tract, in a single run and could include up to 96 samples. Four hundred and forty-eight samples and 31 control samples were analyzed independently with both TSP and RT-PCR, and the results were compared for accuracy and other indicators.

Results: TSP identified 50 SARS-CoV-2 positive samples with a 99.33% match to RT-PCR results. It is not surprising that TSP also identified multiple infections from the 96 samples, whereas RT-PCR could not. Thus, TSP was able to accurately diagnose the samples which could not be identified based on single RT-PCR test.

Conclusions: Our data demonstrated that TSP is a fast and accurate testing method for identifying multiple pathogen infections of the respiratory tract.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
用于准确检测呼吸道病原体的低成本高通量靶向测序。
导言:目前通过实时逆转录酶聚合酶链反应(RT-PCR)诊断严重急性呼吸系统综合征冠状病毒2(SARS-CoV-2)的金标准受到了可检测基因数量的限制。在这项研究中,我们开发了一种低成本、高通量的新一代测序技术,可以克服实时 RT-PCR 的局限性:方法:我们设计了一个由大约 500 个扩增子组成的靶向测序面板(TSP)。该小组可在一次运行中同时检测 SARS-CoV-2 的多个基因位点以及影响呼吸道的最常见传染性病毒的基因,最多可包括 96 个样本。对 448 份样本和 31 份对照样本分别进行了 TSP 和 RT-PCR 分析,并对结果的准确性和其他指标进行了比较:结果:TSP 鉴定出 50 个 SARS-CoV-2 阳性样本,与 RT-PCR 结果的吻合率为 99.33%。不足为奇的是,TSP 还能从 96 个样本中鉴定出多重感染,而 RT-PCR 则不能。因此,TSP 能够准确诊断那些无法通过单一 RT-PCR 检测确定的样本:我们的数据表明,TSP 是一种快速、准确的检测方法,可用于鉴定呼吸道多种病原体感染。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
CiteScore
3.70
自引率
5.30%
发文量
239
审稿时长
4-8 weeks
期刊介绍: The Journal of Infection in Developing Countries (JIDC) is an international journal, intended for the publication of scientific articles from Developing Countries by scientists from Developing Countries. JIDC is an independent, on-line publication with an international editorial board. JIDC is open access with no cost to view or download articles and reasonable cost for publication of research artcles, making JIDC easily availiable to scientists from resource restricted regions.
期刊最新文献
Clinical characteristics, depression, anxiety, and stress of medical workers during the COVID-19 pandemic: a cross-sectional survey. Clinical profile of patients with surgical brain abscesses and etiology in a reference hospital. Constructing a predictive model based on peripheral blood signs to differentiate infectious mononucleosis from chronic active EBV infection. Correlation of the severity of the clinical presentation of SARS-CoV-2 pneumonia with respiratory function parameters in the post-COVID period. Distribution of vectors and arboviruses, and healthcare workers' knowledge of vector-borne diseases in Armenia.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1