A one-pot method for universal Dengue virus detection by combining RT-RPA amplification and CRISPR/Cas12a assay

Dengue Virus (DENV) is a life-threatening pathogen leading to dengue fever, which brings about huge public health challenges globally. However, traditional detection methods currently fail to meet the increasing demands of clinic practice in terms of speed, simplicity, and accuracy. To address these limitations, we developed a novel, rapid, and highly sensitive diagnostic method for universal DENV detection by integrating recombinase polymerase amplification (RPA) assay and the Clustered Regularly Interspaced Short Palindromic Repeat (CRISPR) and associated (Cas) protein 12a (CRISPR/Cas12a) system into one-pot. This approach achieves exceptional sensitivity and specificity for DENV detection, with the entire process completed within 40 min, without the need for sophisticated equipment. The limit of detection (LOD) was determined to be 91.7 copies/test. Using this one-pot RT-RPA CRISPR/Cas12a detection system, all four serotypes of DENV (1 to 4) were successfully identified. In terms of specificity, the assay accurately detected DENV-infected positive samples without cross-reactivity with four other interfering viruses-infected samples (VSV, SeV, HSV-1 and IAV). Furthermore, we established a universal DENV RT-RPA-CRISPR/Cas12a-lateral flow dipstick (LFD) platform, which successfully identified all four serotypes of DENV with a sensitivity of approximately 250 copies/test. Collectively, our method not only provides a robust alternative for universal DENV detection but also offers valuable insights for the identification of other viruses.

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Publication Details

Journal
BMC Microbiology
Published
2025-03-24
DOI
https://doi.org/10.1186/s12866-025-03882-z
Citations
12
Primary Topic
Mosquito-borne diseases and control
Type
article
Field-Weighted Citation Impact
22.54

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article

A one-pot method for universal Dengue virus detection by combining RT-RPA amplification and CRISPR/Cas12a assay

Yunkai Zhang, Jie Bai, Shuqi Cai, Xiang Yan et al.
12 citations
BMC Microbiology
Mosquito-borne diseases and control
22.54
article

A one-pot method for universal Dengue virus detection by combining RT-RPA amplification and CRISPR/Cas12a assay

Yunkai Zhang, Jie Bai, Shuqi Cai, Xiang Yan, Yuyu Jiang, Dengyong Hou, Bin Liu, Shuanghong Chen, Xiaomeng Ren, Yujia Wang, Xingguang Liu, Jingjing Fang, L Fang, Jianping Zhang, Yue Ding
article en
12 citations

Abstract

Dengue Virus (DENV) is a life-threatening pathogen leading to dengue fever, which brings about huge public health challenges globally. However, traditional detection methods currently fail to meet the increasing demands of clinic practice in terms of speed, simplicity, and accuracy. To address these limitations, we developed a novel, rapid, and highly sensitive diagnostic method for universal DENV detection by integrating recombinase polymerase amplification (RPA) assay and the Clustered Regularly Interspaced Short Palindromic Repeat (CRISPR) and associated (Cas) protein 12a (CRISPR/Cas12a) system into one-pot. This approach achieves exceptional sensitivity and specificity for DENV detection, with the entire process completed within 40 min, without the need for sophisticated equipment. The limit of detection (LOD) was determined to be 91.7 copies/test. Using this one-pot RT-RPA CRISPR/Cas12a detection system, all four serotypes of DENV (1 to 4) were successfully identified. In terms of specificity, the assay accurately detected DENV-infected positive samples without cross-reactivity with four other interfering viruses-infected samples (VSV, SeV, HSV-1 and IAV). Furthermore, we established a universal DENV RT-RPA-CRISPR/Cas12a-lateral flow dipstick (LFD) platform, which successfully identified all four serotypes of DENV with a sensitivity of approximately 250 copies/test. Collectively, our method not only provides a robust alternative for universal DENV detection but also offers valuable insights for the identification of other viruses.

BMC MicrobiologyVol. 25(1)
Chinese Academy of Medical Sciences & Peking Union Medical College (CN), Naval University of Engineering (CN)
National Natural Science Foundation of China, National Key Research and Development Program of China
Good health and well-being
Openalex Percentile: Top 0%
Mosquito-borne diseases and control
22.54
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