{"title":"MIRA<i>/Pf</i>Ago-Mediated Biosensor for Multiplex Human Enteroviruses Virus Typing Detection on HFMD.","authors":"Xuan Yang, Yue Wang, Chengming Xu, Zhiyi Liu, Yuanqi Guan, Fei Wang, Shuliang Chen, Yuan Wang, Yibin Cheng, Yanming Dong","doi":"10.1021/acssynbio.4c00545","DOIUrl":null,"url":null,"abstract":"<p><p>Hand, foot, and mouth disease (HFMD), caused by enteroviruses, mostly including EV71, CVA6, CVA10, and CVA16, is an acute infectious disease commonly found in children. Due to no approved antiviral therapies and available vaccines, except for EV71, developing accurate diagnostic methods of HFMD is essential for controlling its spread and mitigating its impact on public health. Here, we create a MIRA-HEV-PAND multiple nucleic acid typing method that utilizes <i>Pf</i>Ago to identify enterovirus type A pathogens (EV71, CVA6, CVA10, and CVA16) and universal type EVU. The MDC (minimum detection concentration) level of MIRA-HEV-PAND is within the range of 1.66 aM (1.0 copy/μL), which was matched to that of qPCR assays and even more sensitive up to 10%. Importantly, the MIRA-HEV-PAND method exhibits higher sensitivity and less time-consuming efficiency compared to the approach that combines PCR amplification instead of MIRA amplification. Meanwhile, though the quintuple and single-tube multiple MIRA-HEV-PAND detection system can be used for one viral target or multiple viral target detection, the single-tube detection system detects more efficiently and rapidly than the quintuple-tube multiple detection system. Moreover, the diagnostic results obtained by evaluating clinical samples using MIRA-HEV-PAND show a complete consistency of 100% with qPCR assays. The MIRA-HEV-PAND method can screen a wider range of target regions using low-cost guide DNA without being limited to PAM sequences, compared to the MARPLES based on the CRISPR-Cas12a. The utilization of this correlation can be beneficial for the application of molecular testing for clinical diagnoses and the study of human enteroviruses A infection and virus typing on an epidemiological scale.</p>","PeriodicalId":26,"journal":{"name":"ACS Synthetic Biology","volume":" ","pages":"4119-4130"},"PeriodicalIF":3.9000,"publicationDate":"2024-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Synthetic Biology","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1021/acssynbio.4c00545","RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/12/5 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"BIOCHEMICAL RESEARCH METHODS","Score":null,"Total":0}
引用次数: 0
Abstract
Hand, foot, and mouth disease (HFMD), caused by enteroviruses, mostly including EV71, CVA6, CVA10, and CVA16, is an acute infectious disease commonly found in children. Due to no approved antiviral therapies and available vaccines, except for EV71, developing accurate diagnostic methods of HFMD is essential for controlling its spread and mitigating its impact on public health. Here, we create a MIRA-HEV-PAND multiple nucleic acid typing method that utilizes PfAgo to identify enterovirus type A pathogens (EV71, CVA6, CVA10, and CVA16) and universal type EVU. The MDC (minimum detection concentration) level of MIRA-HEV-PAND is within the range of 1.66 aM (1.0 copy/μL), which was matched to that of qPCR assays and even more sensitive up to 10%. Importantly, the MIRA-HEV-PAND method exhibits higher sensitivity and less time-consuming efficiency compared to the approach that combines PCR amplification instead of MIRA amplification. Meanwhile, though the quintuple and single-tube multiple MIRA-HEV-PAND detection system can be used for one viral target or multiple viral target detection, the single-tube detection system detects more efficiently and rapidly than the quintuple-tube multiple detection system. Moreover, the diagnostic results obtained by evaluating clinical samples using MIRA-HEV-PAND show a complete consistency of 100% with qPCR assays. The MIRA-HEV-PAND method can screen a wider range of target regions using low-cost guide DNA without being limited to PAM sequences, compared to the MARPLES based on the CRISPR-Cas12a. The utilization of this correlation can be beneficial for the application of molecular testing for clinical diagnoses and the study of human enteroviruses A infection and virus typing on an epidemiological scale.
手足口病(手足口病)是一种常见于儿童的急性感染性疾病,主要由肠道病毒引起,主要包括EV71、CVA6、CVA10和CVA16。除EV71病毒外,由于没有批准的抗病毒疗法和可用疫苗,因此开发准确的手足口病诊断方法对于控制其传播和减轻其对公共卫生的影响至关重要。本研究建立了MIRA-HEV-PAND多核酸分型方法,利用PfAgo对a型肠病毒病原体(EV71、CVA6、CVA10和CVA16)和通用型EVU进行鉴定。MIRA-HEV-PAND的最低检测浓度在1.66 aM (1.0 copy/μL)范围内,与qPCR检测结果相当,灵敏度高达10%。重要的是,与结合PCR扩增而不是MIRA扩增的方法相比,MIRA- hev - pand方法具有更高的灵敏度和更少的耗时效率。同时,虽然五管组和单管组多重MIRA-HEV-PAND检测系统可以用于一个病毒靶点或多个病毒靶点的检测,但单管组检测系统比五管组多重组检测系统检测效率和速度更高。此外,使用MIRA-HEV-PAND评估临床样本获得的诊断结果与qPCR检测结果完全一致。与基于CRISPR-Cas12a的MARPLES相比,MIRA-HEV-PAND方法可以使用低成本的引导DNA筛选更广泛的靶标区域,而不限于PAM序列。利用这一相关性可为分子检测在临床诊断中的应用以及在流行病学尺度上对人类肠病毒A感染和病毒分型的研究提供有益的帮助。
期刊介绍:
The journal is particularly interested in studies on the design and synthesis of new genetic circuits and gene products; computational methods in the design of systems; and integrative applied approaches to understanding disease and metabolism.
Topics may include, but are not limited to:
Design and optimization of genetic systems
Genetic circuit design and their principles for their organization into programs
Computational methods to aid the design of genetic systems
Experimental methods to quantify genetic parts, circuits, and metabolic fluxes
Genetic parts libraries: their creation, analysis, and ontological representation
Protein engineering including computational design
Metabolic engineering and cellular manufacturing, including biomass conversion
Natural product access, engineering, and production
Creative and innovative applications of cellular programming
Medical applications, tissue engineering, and the programming of therapeutic cells
Minimal cell design and construction
Genomics and genome replacement strategies
Viral engineering
Automated and robotic assembly platforms for synthetic biology
DNA synthesis methodologies
Metagenomics and synthetic metagenomic analysis
Bioinformatics applied to gene discovery, chemoinformatics, and pathway construction
Gene optimization
Methods for genome-scale measurements of transcription and metabolomics
Systems biology and methods to integrate multiple data sources
in vitro and cell-free synthetic biology and molecular programming
Nucleic acid engineering.