Evidence map›Paper›PMID 36557604›Full record

ArticleMicroorganisms2022

Development of a Real-Time Recombinase-Aided Amplification Method to Rapidly Detect Methicillin-Resistant

Xiaoyan Ding, Hejia Wang, Mingquan Cui, Min Cheng, Qi Zhao, Yuhui Bai, Chunping Zhang, Cunshuai Zhang, Shixin Xu, Ting Li

Open access · goldAbstract read
In one paragraph

Article in Microorganisms, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.8field-weighted citation impact, top 27% of its field
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

4 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Review
  3. A rapid and naked-eye methicillin resistantFrontiers in microbiology · 2025
    Article
  4. 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

10 authors at 2 institutions in 1 country.

Xiaoyan DingKey Laboratory of Animal Antimicrobial Resistance Surveillance, Ministry of Agriculture and Rural Affairs, National Reference Laboratory of Veterinary Drugs Residues, China Institute of Veterinary Drug Control, Beijing 100081, China.
Hejia WangKey Laboratory of Animal Antimicrobial Resistance Surveillance, Ministry of Agriculture and Rural Affairs, National Reference Laboratory of Veterinary Drugs Residues, China Institute of Veterinary Drug Control, Beijing 100081, China.
Mingquan CuiKey Laboratory of Animal Antimicrobial Resistance Surveillance, Ministry of Agriculture and Rural Affairs, National Reference Laboratory of Veterinary Drugs Residues, China Institute of Veterinary Drug Control, Beijing 100081, China.
Min ChengKey Laboratory of Animal Antimicrobial Resistance Surveillance, Ministry of Agriculture and Rural Affairs, National Reference Laboratory of Veterinary Drugs Residues, China Institute of Veterinary Drug Control, Beijing 100081, China.
Qi ZhaoKey Laboratory of Animal Antimicrobial Resistance Surveillance, Ministry of Agriculture and Rural Affairs, National Reference Laboratory of Veterinary Drugs Residues, China Institute of Veterinary Drug Control, Beijing 100081, China.
Yuhui BaiKey Laboratory of Animal Antimicrobial Resistance Surveillance, Ministry of Agriculture and Rural Affairs, National Reference Laboratory of Veterinary Drugs Residues, China Institute of Veterinary Drug Control, Beijing 100081, China.
Chunping ZhangKey Laboratory of Animal Antimicrobial Resistance Surveillance, Ministry of Agriculture and Rural Affairs, National Reference Laboratory of Veterinary Drugs Residues, China Institute of Veterinary Drug Control, Beijing 100081, China.
Cunshuai ZhangKey Laboratory of Animal Antimicrobial Resistance Surveillance, Ministry of Agriculture and Rural Affairs, National Reference Laboratory of Veterinary Drugs Residues, China Institute of Veterinary Drug Control, Beijing 100081, China.
Shixin XuKey Laboratory of Animal Antimicrobial Resistance Surveillance, Ministry of Agriculture and Rural Affairs, National Reference Laboratory of Veterinary Drugs Residues, China Institute of Veterinary Drug Control, Beijing 100081, China.
Ting LiKey Laboratory of Animal Antimicrobial Resistance Surveillance, Ministry of Agriculture and Rural Affairs, National Reference Laboratory of Veterinary Drugs Residues, China Institute of Veterinary Drug Control, Beijing 100081, China.
Ministry of Agriculture and Rural Affairs · CNChina Institute of Veterinary Drug Control · CN

Funding

National Key Technologies Research and Development Program of China from the Chinese Ministry of Science and Technology 2018YFC1200100Special Funds for Quality and Safety Supervision of Agricultural Products from Animal Husbandry and Veterinary Bureau of the Chinese Ministry of Agriculture and Rural Affairs 2130109Veterinary Drug Industry Public Welfare Key Project of China Institute of Veterinary Drug Control GY202108
6 · The paper itself

Abstract

Methicillin-resistant staphylococcus aureus (MRSA) is a major pathogen responsible for human hospital and community-onset diseases and severe invasive livestock infections. Rapid detection of MRSA is essential to control the spread of MRSA. Conventional identification methods and antibacterial susceptibility tests of MRSA are time-consuming. The commonly used qPCR assay also has the disadvantages of being complicated and expensive, restricting its application in resource-limited clinical laboratories. Here, a real-time fluorescent recombinase-assisted amplification (RAA) assay targeting the most conserved regions within the mecA gene of MRSA was developed and evaluated to detect MRSA. The detection limit of this assay was determined to be 10 copies/reaction of positive plasmids. The established RAA assay showed high specificity for MRSA detection without cross-reactivities with other clinically relevant bacteria. The diagnostic performance of real-time RAA was evaluated using 67 clinical S. aureus isolates from dairy farms, which were detected in parallel using the TaqMan probe qPCR assay. The results showed that 56 and 54 samples tested positive for MRSA by RAA and qPCR, respectively. The overall agreement between both assays was 97.01% (65/67), with a kappa value of 0.9517 (p < 0.001). Further linear regression analysis demonstrated that the detection results between the two assays were significantly correlated (R2 = 0.9012, p < 0.0001), indicating that this RAA assay possesses similar detection performance to the qPCR assay. In conclusion, our newly established RAA assay is a time-saving and convenient diagnostic tool suitable for MRSA detection and screening.

Indexed as

a real-time RAAMRSAqPCRrapid detection

Identifiers

PMID36557604
PMCPMC9784193
OpenAlexW4310187287

What OpenQuestion holds

Textmetadata
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.