Sequence-specific nanoparticle barcode strategy for multiplex human enterovirus typing.

IF 14.7 1区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES Nature Communications Pub Date : 2024-08-01 DOI:10.1038/s41467-024-50921-w
Zecheng Zhong, Xiaosong Su, Kunyu Yang, Weida Huang, Jin Wang, Zhihao Zhuo, Jiyu Xiang, Lesi Lin, Shuizhen He, Tingdong Li, Jun Zhang, Shengxiang Ge, Shiyin Zhang, Ningshao Xia
{"title":"Sequence-specific nanoparticle barcode strategy for multiplex human enterovirus typing.","authors":"Zecheng Zhong, Xiaosong Su, Kunyu Yang, Weida Huang, Jin Wang, Zhihao Zhuo, Jiyu Xiang, Lesi Lin, Shuizhen He, Tingdong Li, Jun Zhang, Shengxiang Ge, Shiyin Zhang, Ningshao Xia","doi":"10.1038/s41467-024-50921-w","DOIUrl":null,"url":null,"abstract":"<p><p>Human enteroviruses (HEV) can cause a range of diseases from mild to potentially life-threatening. Identification and genotyping of HEV are crucial for disease management. Existing typing methods, however, have inherent limitations. Developing alternative methods to detect HEV with more virus types, high accuracy, and sensitivity in an accessible manner presents a technological and analytical challenge. Here, a sequence-specific nanoparticle barcode (SSNB) method is presented for simultaneous detection of 10 HEV types. This method significantly increases sensitivity, enhancing detection by 10-10<sup>6</sup> times over the traditional multiplex hybrid genotyping (MHG) method, by resolving cross-interference between the multiple primer sets. Furthermore, the SSNB method demonstrates a 100% specificity in accurately distinguishing between 10 different HEV types and other prevalent clinical viruses. In an analysis of 70 clinical throat swab samples, the SSNB method shows slightly higher detection rate for positive samples (50%) compared to the RT-PCR method (48.6%). Additionally, further assessment of the typing accuracy for samples identified as positive by SSNB using sequencing method reveals a concordance rate of 100%. The combined high sensitivity and specificity level of the methodology, together with the capability for multiple type analysis and compatibility with clinical workflow, make this approach a promising tool for clinical settings.</p>","PeriodicalId":19066,"journal":{"name":"Nature Communications","volume":null,"pages":null},"PeriodicalIF":14.7000,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11294541/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nature Communications","FirstCategoryId":"103","ListUrlMain":"https://doi.org/10.1038/s41467-024-50921-w","RegionNum":1,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MULTIDISCIPLINARY SCIENCES","Score":null,"Total":0}
引用次数: 0

Abstract

Human enteroviruses (HEV) can cause a range of diseases from mild to potentially life-threatening. Identification and genotyping of HEV are crucial for disease management. Existing typing methods, however, have inherent limitations. Developing alternative methods to detect HEV with more virus types, high accuracy, and sensitivity in an accessible manner presents a technological and analytical challenge. Here, a sequence-specific nanoparticle barcode (SSNB) method is presented for simultaneous detection of 10 HEV types. This method significantly increases sensitivity, enhancing detection by 10-106 times over the traditional multiplex hybrid genotyping (MHG) method, by resolving cross-interference between the multiple primer sets. Furthermore, the SSNB method demonstrates a 100% specificity in accurately distinguishing between 10 different HEV types and other prevalent clinical viruses. In an analysis of 70 clinical throat swab samples, the SSNB method shows slightly higher detection rate for positive samples (50%) compared to the RT-PCR method (48.6%). Additionally, further assessment of the typing accuracy for samples identified as positive by SSNB using sequencing method reveals a concordance rate of 100%. The combined high sensitivity and specificity level of the methodology, together with the capability for multiple type analysis and compatibility with clinical workflow, make this approach a promising tool for clinical settings.

Abstract Image

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
用于多重人类肠道病毒分型的序列特异性纳米粒子条形码策略。
人类肠道病毒(HEV)可引起一系列疾病,从轻微到可能危及生命。HEV 的鉴定和基因分型对于疾病管理至关重要。然而,现有的分型方法有其固有的局限性。开发可检测更多病毒类型、高准确性和高灵敏度的替代方法是一项技术和分析挑战。本文介绍了一种序列特异性纳米粒子条形码(SSNB)方法,可同时检测 10 种 HEV 类型。与传统的多重混合基因分型(MHG)方法相比,该方法通过解决多组引物之间的交叉干扰,大大提高了灵敏度,使检测效果提高了 10-106 倍。此外,SSNB 方法还能准确区分 10 种不同的 HEV 类型和其他流行的临床病毒,特异性高达 100%。在对 70 份临床咽拭子样本的分析中,SSNB 方法的阳性样本检出率(50%)略高于 RT-PCR 方法(48.6%)。此外,使用测序方法对 SSNB 鉴定为阳性的样本进行的进一步分型准确性评估显示,一致率为 100%。该方法的灵敏度和特异性都很高,还能进行多类型分析并与临床工作流程兼容,因此是一种很有前途的临床工具。
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
Nature Communications
Nature Communications Biological Science Disciplines-
CiteScore
24.90
自引率
2.40%
发文量
6928
审稿时长
3.7 months
期刊介绍: Nature Communications, an open-access journal, publishes high-quality research spanning all areas of the natural sciences. Papers featured in the journal showcase significant advances relevant to specialists in each respective field. With a 2-year impact factor of 16.6 (2022) and a median time of 8 days from submission to the first editorial decision, Nature Communications is committed to rapid dissemination of research findings. As a multidisciplinary journal, it welcomes contributions from biological, health, physical, chemical, Earth, social, mathematical, applied, and engineering sciences, aiming to highlight important breakthroughs within each domain.
期刊最新文献
Normothermic ex vivo kidney perfusion preserves mitochondrial and graft function after warm ischemia and is further enhanced by AP39 Haplotype-based pangenomes reveal genetic variations and climate adaptations in moso bamboo populations An expanded database and analytical toolkit for identifying bacterial virulence factors and their associations with chronic diseases Structural basis for ryanodine receptor type 2 leak in heart failure and arrhythmogenic disorders A metabolomic profile of biological aging in 250,341 individuals from the UK Biobank
×
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