Evidence map›Paper›PMID 40871400›Full record

ArticleMicroorganisms2025

Cascade CRISPR/cas Enables More Sensitive Detection of

Dawei Chen, Min Sun, Bingbing Li, Jian Ma, Qinjun Zhang, Wanli Yin, Jie Li, Mingyue Wei, Liang Liu, Pengfei Yang and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Microorganisms, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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.

Dawei ChenNHC Key Laboratory on Parasite and Vector Biology, National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, Chinese Center for Tropical Diseases Research, National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, WHO Collaborating Center for Tropical Diseases, Shanghai 200025, China.
Min SunNHC Key Laboratory on Parasite and Vector Biology, National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, Chinese Center for Tropical Diseases Research, National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, WHO Collaborating Center for Tropical Diseases, Shanghai 200025, China.
Bingbing LiHuai'an Center for Disease Control and Prevention, Jiangsu Provincial Regional Public Health Center, Huai'an 223003, China.
Jian MaHuai'an Center for Disease Control and Prevention, Jiangsu Provincial Regional Public Health Center, Huai'an 223003, China.
Qinjun ZhangHuai'an Center for Disease Control and Prevention, Jiangsu Provincial Regional Public Health Center, Huai'an 223003, China.
Wanli YinHuai'an Center for Disease Control and Prevention, Jiangsu Provincial Regional Public Health Center, Huai'an 223003, China.
Jie LiHuai'an Center for Disease Control and Prevention, Jiangsu Provincial Regional Public Health Center, Huai'an 223003, China.
Mingyue WeiHuai'an Center for Disease Control and Prevention, Jiangsu Provincial Regional Public Health Center, Huai'an 223003, China.
Liang LiuHuai'an Center for Disease Control and Prevention, Jiangsu Provincial Regional Public Health Center, Huai'an 223003, China.
Pengfei YangHuai'an Center for Disease Control and Prevention, Jiangsu Provincial Regional Public Health Center, Huai'an 223003, China.
Yujuan ShenNHC Key Laboratory on Parasite and Vector Biology, National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, Chinese Center for Tropical Diseases Research, National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, WHO Collaborating Center for Tropical Diseases, Shanghai 200025, China.ORCID 0000-0003-4386-6624

Funding

Jiangsu Province Preventive Medicine Research Project Ym2023085the National Nature Science Foundation of China 82372283
6 · The paper itself

Abstract

Foodborne pathogens represent a class of pathogenic microorganisms capable of causing food poisoning or serving as foodborne vectors, constituting a major source of food safety concerns. With increasing demands for rapid diagnostics, conventional culture-based methods and PCR assays face limitations due to prolonged turnaround times and specialized facility requirements. While CRISPR-based detection has emerged as a promising rapid diagnostic platform, its inherent inability to detect low-abundance targets necessitates coupling with isothermal amplification, thereby increasing operational complexity. In this study, we preliminarily developed a novel amplification-free Cascade-CRISPR detection system utilizing a hairpin DNA amplifier. This method achieves detection sensitivity as low as 10 fM (82 parasites/μL) for DNA targets within 30 min without requiring pre-amplification, with background signal suppression achieved through optimized NaCl concentration. Validation using artificially contaminated food samples demonstrated the platform's robust performance for both

Indexed as

amplification-free CRISPR detectionCascade-CRISPRfoodborne pathogensalt concentration

Identifiers

PMID40871400
PMCPMC12388507

What OpenQuestion holds

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LicenceCC BY
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 OpenQuestion graph.