Evidence map›Paper›PMID 40128655›Full record

ArticleBMC microbiology2025

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

Yunkai Zhang, Yan Xiang, Dengyong Hou, Liben Fang, Shuqi Cai, Jianping Zhang, Yujia Wang, Yuyu Jiang, Bin Liu, Jie Bai and 5 more

Abstract read
In one paragraph

Article in BMC microbiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Review
  11. Review
  12. Article
  13. Review
  14. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors.

Yunkai Zhang *Naval Medical Center, Naval Medical University, 880 Xiangyin Road, Shanghai, 200433, China. georgezhang@smmu.edu.cn.
Yan Xiang *Department of Pathogen Biology, Naval Medical University, 800 Xiangyin Road, Shanghai, 200433, China.
Dengyong Hou *Naval Medical Center, Naval Medical University, 880 Xiangyin Road, Shanghai, 200433, China.
Liben FangNaval Medical Center, Naval Medical University, 880 Xiangyin Road, Shanghai, 200433, China.
Shuqi CaiNaval Medical Center, Naval Medical University, 880 Xiangyin Road, Shanghai, 200433, China.
Jianping ZhangNaval Medical Center, Naval Medical University, 880 Xiangyin Road, Shanghai, 200433, China.
Yujia WangDepartment of Immunology, Center for Immunotherapy, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, Beijing, 100730, China.
Yuyu JiangDepartment of Pathogen Biology, Naval Medical University, 800 Xiangyin Road, Shanghai, 200433, China.
Bin LiuNaval Medical Center, Naval Medical University, 880 Xiangyin Road, Shanghai, 200433, China.
Jie BaiDepartment of Pathogen Biology, Naval Medical University, 800 Xiangyin Road, Shanghai, 200433, China.
Yue DingDepartment of Pathogen Biology, Naval Medical University, 800 Xiangyin Road, Shanghai, 200433, China.
Jingjing FangNaval Medical Center, Naval Medical University, 880 Xiangyin Road, Shanghai, 200433, China.
Shuanghong ChenNaval Medical Center, Naval Medical University, 880 Xiangyin Road, Shanghai, 200433, China.
Xingguang LiuNational Key Laboratory of Immunity & Inflammation, Naval Medical University, Shanghai, 200433, China. liuxg@immunol.org.
Xiaomeng RenNaval Medical Center, Naval Medical University, 880 Xiangyin Road, Shanghai, 200433, China. renxiaomeng@smmu.edu.cn.

Funding

experimental animal program sponsored by the Science and Technology Commission of Shanghai Municipality 23141902300National Key Research and Development Program of China 2023YFC2307302National Natural Science Foundation of China 32400727Natural Science Foundation of Shanghai 24ZR1481100program of Shanghai outstanding academic leader in public health subject GWVI-11.2-XD29Talent Project Foundation of PLA 22AH0901
6 · The paper itself

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.

Indexed as

CRISPR-Cas SystemsDengueDengue VirusMolecular Diagnostic TechniquesNucleic Acid Amplification TechniquesBacterial ProteinsCRISPR-Associated ProteinsEndodeoxyribonucleasesHumansLimit of DetectionRecombinasesRNA, ViralSensitivity and SpecificityBacterial ProteinsCas12a proteinCRISPR-Associated ProteinsEndodeoxyribonucleasesRecombinasesRNA, ViralCRISPR/Cas12aDENVLFDOne-potRPAUniversal detection

Identifiers

PMID40128655
PMCPMC11934806

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.