Evidence map›Paper›PMID 40231967›Full record

ArticleMicrobial biotechnology2025

One-Step RAA and CRISPR-Cas13a Method for Detecting Influenza B Virus.

Xinling Zhang, Shiyu Chen, Juezhuo Li, Dong-Ang Liu, Jianxiu Lai, Xiangquan Song, Ruiyao Hu, Yuting Qiu, Keyi Chen, Yue Xu and 1 more

Abstract readEvaluation Study
In one paragraph

Article in Microbial biotechnology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
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  5. Article
  6. Rapid detection ofFrontiers in chemistry · 2025
    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

11 authors.

Xinling ZhangKey Laboratory of Artificial Organs and Computational Medicine in Zhejiang Province, Shulan International Medical College, Zhejiang Shuren University, Hangzhou, People's Republic of China.
Shiyu ChenKey Laboratory of Artificial Organs and Computational Medicine in Zhejiang Province, Shulan International Medical College, Zhejiang Shuren University, Hangzhou, People's Republic of China.
Juezhuo LiWycombe Abbey School Hangzhou, Hangzhou, People's Republic of China.
Dong-Ang LiuKey Laboratory of Artificial Organs and Computational Medicine in Zhejiang Province, Shulan International Medical College, Zhejiang Shuren University, Hangzhou, People's Republic of China.
Jianxiu LaiCommunity Health Service Center of Sandun Town, Hangzhou, People's Republic of China.
Xiangquan SongHangzhou Xihu District Hosptial of Traditional Chinese and Western Medicine, Hangzhou, People's Republic of China.
Ruiyao HuKey Laboratory of Artificial Organs and Computational Medicine in Zhejiang Province, Shulan International Medical College, Zhejiang Shuren University, Hangzhou, People's Republic of China.
Yuting QiuKey Laboratory of Artificial Organs and Computational Medicine in Zhejiang Province, Shulan International Medical College, Zhejiang Shuren University, Hangzhou, People's Republic of China.
Keyi ChenKey Laboratory of Artificial Organs and Computational Medicine in Zhejiang Province, Shulan International Medical College, Zhejiang Shuren University, Hangzhou, People's Republic of China.
Yue XuKey Laboratory of Artificial Organs and Computational Medicine in Zhejiang Province, Shulan International Medical College, Zhejiang Shuren University, Hangzhou, People's Republic of China.
Xiaoping LiKey Laboratory of Artificial Organs and Computational Medicine in Zhejiang Province, Shulan International Medical College, Zhejiang Shuren University, Hangzhou, People's Republic of China.ORCID https://orcid.org/0000-0003-0156-0803

Funding

Zhejiang Shuren University Basic Scientific Research Special Funds 2024XZ011
6 · The paper itself

Abstract

We developed a sensitive and specific method based on recombinase-aided amplification (RAA) and clustered regularly interspaced short palindromic repeats (CRISPR)-CRISPR-associated protein 13a (Cas13a). This method, named CRISPR-based Rapid and Efficient Test (CRISPRET), is designed for the early diagnosis of Influenza B (FluB) with the aim of shortening its transmission chain. We identified conserved regions in the Influenza B Virus (IBV) NS gene and designed forward and reverse primers along with crRNAs. We then established and optimised the reaction system, and Nucleic Acid Positive Reference Materials of IBV were used to evaluate the detection limit (DL) of CRISPRET. Additionally, we collected 257 clinical samples, comprising 127 samples from patients with IBV infection and 130 samples from healthy individuals, and subjected them to dual detection using CRISPRET and qPCR to evaluate the positive predictive value (PPV), negative predictive value (NPV), sensitivity and specificity of CRISPRET. We designed one forward primer, two reverse primers, and two crRNAs to establish and optimise the CRISPR ET. The method demonstrated the DL of 500 copies·μL

Indexed as

Influenza B virusInfluenza, HumanMolecular Diagnostic TechniquesNucleic Acid Amplification TechniquesRecombinasesCRISPR-Cas SystemsHumansSensitivity and SpecificityRecombinasesCRISPR‐Cas13influenza Bone‐step methodRAArapid detection

Identifiers

PMID40231967
PMCPMC11998173

What OpenQuestion holds

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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 OpenQuestion graph.