条形码
多路复用
打字
肠道病毒
序列(生物学)
计算生物学
计算机科学
病毒学
生物
生物信息学
遗传学
病毒
操作系统
作者
Zecheng Zhong,Xiaosong Su,Jing Wang,Weida Huang,Dan Li,Zhihao Zhuo,Jiyu Xiang,Lesi Lin,Shuizhen He,Tingdong Li,Jun Zhang,Shengxiang Ge,Shiyin Zhang,Ningshao Xia
标识
DOI:10.1038/s41467-024-50921-w
摘要
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. Current methods to identify and phenotype human enteroviruses (HEV) have limitations. Here, the authors report a sequence-specific nanoparticle barcode method for simultaneous detection of 10 HEV types with enhanced sensitivity and specificity as a promising tool for improved clinical and epidemiological applications.
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