Evidence map›Paper›PMID 40580341›Full record

ArticleBiotechnology letters2025

Target recognition initiated reverse hybridization mediated cascade amplification for sensitive Pseudomonas aeruginosa analysis.

Xiaoyan Wang, Jinli Hu

Abstract read
PubMed Publisher
In one paragraph

Article in Biotechnology letters, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

2 authors.

Xiaoyan WangDepartment of Pediatrics, Affiliated Hospital of Shaoxing University, No 999 Zhongxing South Road, Yuecheng District, Shaoxing City, 312000, Zhejiang Province, China.
Jinli HuDepartment of Pediatrics, Affiliated Hospital of Shaoxing University, No 999 Zhongxing South Road, Yuecheng District, Shaoxing City, 312000, Zhejiang Province, China. tt13282022@163.com.ORCID http://orcid.org/0009-0009-3615-2480

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pseudomonas aeruginosa (P. aeruginosa) is a significant opportunistic pathogen associated with nosocomial infections, particularly in pediatric populations, where it can lead to severe clinical manifestations, including P. aeruginosa-associated meningitis. To meet the critical need for highly sensitive detection of P. aeruginosa, a novel fluorescent biosensor utilizing a three-way junction (TWJ) probe has been developed. This biosensor capitalizes on the specific binding interaction between P. aeruginosa and a tailored aptamer embedded within a DNA TWJ structure. Upon target binding, the double-stranded DNA branches of the TWJ undergo a conformational rearrangement, resulting in the formation of two distinct DNA "Y" junction structures. These structures are subsequently linked by a designed sequence, initiating a DNA polymerase/endonuclease-mediated strand displacement amplification process. The TWJ-based biosensor offers several key advantages: (i) the integration of the aptamer sequence within the TWJ probe ensures high specificity for target recognition, and (ii) the subsequent enzymatic amplification significantly enhances the sensitivity of detection. Under optimized experimental conditions, the biosensor demonstrated a broad linear detection range from 10 to 10 to 10

Indexed as

Biosensing TechniquesNucleic Acid Amplification TechniquesNucleic Acid HybridizationPseudomonas aeruginosaAptamers, NucleotideHumansLimit of DetectionPseudomonas InfectionsAptamers, NucleotideDNA ligaseDNA polymerasePseudomonas aeruginosaStrand displacement amplificationThree-way junction probe

Identifiers

What OpenQuestion holds

Textmetadata
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.