Evidence map›Paper›PMID 40376447›Full record

ArticleChina CDC weekly2025

Development of A Novel EvaGreen-Dye Based Recombinase Aided Amplification Assay Using Self-Avoiding Molecular Recognition System Primers.

Xinxin Shen, Shaowei Hua, Zijin Zhao, Fengyu Tian, Lingjun Li, Xuejun Ma

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PubMed Full text at PMC Publisher
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Article in China CDC weekly, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Xinxin ShenNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, NHC Key Laboratory of Medical Virology and Viral Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Shaowei HuaNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, NHC Key Laboratory of Medical Virology and Viral Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Zijin ZhaoNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, NHC Key Laboratory of Medical Virology and Viral Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Fengyu TianNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, NHC Key Laboratory of Medical Virology and Viral Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Lingjun LiState Key Laboratory of Antiviral Drugs, NMPA Key Laboratory for Research and Evaluation of Innovative Drug, Pingyuan Laboratory, School of Chemistry and Chemical Engineering, Henan Normal University, Xinxiang City, Henan Province, China.
Xuejun MaNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, NHC Key Laboratory of Medical Virology and Viral Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Fluorescent probe-based recombinase aided amplification (RAA) offers the advantages of rapidity and simplicity but is limited by the requirement for complex and lengthy probe design, restricting its widespread application. Methods: A novel EvaGreen dye-based RAA (EvaGreen-RAA) assay utilizing self-avoiding molecular recognition system (SAMRS) primers was developed for the detection of Results: The EvaGreen-RAA demonstrated superior sensitivity compared to conventional RAA, with detection limits of 1 copy/µL versus 10 copies/µL for both BC and PF plasmids, respectively. In simulated milk specimens, EvaGreen-RAA detected BC and PF at concentrations of 100 CFU/mL and 200 CFU/mL, respectively, compared to 400 CFU/mL and 600 CFU/mL for conventional RAA. The dual EvaGreen-RAA assay successfully detected mixed BC and PF in simulated milk specimens at concentrations of 200 CFU/mL for each pathogen. Conclusion: The EvaGreen-RAA assay demonstrated significant advantages in terms of simplicity and enhanced sensitivity compared to fluorescent probe-based RAA, offering a novel approach for developing multiplex pathogen detection systems using melting curve analysis.

Indexed as

Bacillus cereusEvaGreen dyeMelt CurvePseudomonas fluorescensRaw milkRecombinase aided amplificationSAMRS

Identifiers

PMID40376447
PMCPMC12075452

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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 OpenQuestion graph.