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。

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
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引用次数: 0

摘要

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

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.

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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.
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