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A Duplex Digital PCR Assay for Simultaneous Quantification of the Enterococcus spp. and the Human Fecal-associated HF183 Marker in Waters
Published on: March 9, 2016
MIRA/PfAgo-Mediated Biosensor for Multiplex Human Enteroviruses Virus Typing Detection on HFMD
Xuan Yang1, Yue Wang1, Chengming Xu1
1State Key Laboratory of Biocatalysis and Enzyme Engineering, Hubei Key Laboratory of Industrial Biotechnology, Hubei University, Wuhan 430062, Hubei, China.
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/microL), 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.
Insights
A new MIRA-HEV-PAND diagnostic method accurately identifies Hand, Foot, and Mouth Disease (HFMD) pathogens. This sensitive and rapid molecular test aids in controlling infectious disease spread.
Area of Science:
- Molecular Biology
- Virology
- Infectious Diseases
Background:
- Hand, Foot, and Mouth Disease (HFMD) is a common childhood illness caused by enteroviruses.
- Current diagnostic methods lack broad coverage for all causative agents, and effective antiviral treatments are limited.
- Accurate and rapid diagnostic tools are crucial for managing HFMD outbreaks and public health.
Purpose of the Study:
- To develop a novel multiple nucleic acid typing method for identifying key enterovirus type A pathogens responsible for HFMD.
- To evaluate the sensitivity, efficiency, and diagnostic accuracy of the new method compared to existing techniques.
Main Methods:
- Development of the MIRA-HEV-PAND method utilizing PfAgo for enterovirus typing.
- Assessment of minimum detection concentration (MDC) and comparison with qPCR assays.
- Evaluation of diagnostic performance on clinical samples and comparison with PCR-based methods.
Main Results:
- The MIRA-HEV-PAND method demonstrated high sensitivity, with an MDC of 1.66 aM (1.0 copy/microL), comparable or superior to qPCR.
- The method proved to be more sensitive and less time-consuming than combined PCR amplification techniques.
- Clinical sample evaluation showed 100% consistency with qPCR results, highlighting its diagnostic accuracy.
Conclusions:
- The MIRA-HEV-PAND method offers a sensitive, rapid, and accurate diagnostic tool for enterovirus typing in HFMD.
- This technology provides a valuable platform for molecular testing in clinical diagnostics and epidemiological studies of enterovirus infections.
- The method's flexibility and cost-effectiveness make it suitable for broad application in public health surveillance.

