Evidence map›Paper›PMID 34045567›Full record

ArticleScientific reports2021

Specific and rapid reverse assaying protocol for detection and antimicrobial susceptibility testing of Pseudomonas aeruginosa based on dual molecular recognition.

Yong He, Hang Zhao, Yuanwen Liu, He Zhou

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.7field-weighted citation impact, top 29% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Understanding phage Receptor-binding protein interaction with host surface receptor: the key for phage-Mediated detection and elimination of Pseudomonas aeruginosa.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2025
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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

4 authors at 2 institutions in 1 country.

Yong HeDepartment of Pharmacy, Affiliated Hospital of Zunyi Medical University, Zunyi, 563000, China. heyongzmu@163.com.
Hang ZhaoDepartment of Pharmacy, Affiliated Hospital of Zunyi Medical University, Zunyi, 563000, China.
Yuanwen LiuDepartment of Pharmacy, Affiliated Hospital of Zunyi Medical University, Zunyi, 563000, China.
He ZhouZunyi Institute for Food and Drug Control, Zunyi, 563000, China. zhouhefdc@163.com.
Zunyi Medical University · CNZheJiang Institute For Food and Drug Control · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The worldwide emergence and spread of antimicrobial resistance is accelerated by irrational administration and use of empiric antibiotics. A key point to the crisis is a lack of rapid diagnostic protocols for antimicrobial susceptibility testing (AST), which is crucial for a timely and rational antibiotic prescription. Here, a recombinant bacteriophage tail fiber protein (TFP) was functionalized on magnetic particles to specifically capture Pseudomonas aeruginosa, while fluorescein isothiocyanate-labeled-magainin II was utilized as the indicator. For solving the magnetic particles' blocking effects, a reverse assaying protocol based on TFP recognition was developed to investigate the feasibility of detection and AST of P. aeruginosa. P. aeruginosa can be rapidly, sensitively and specifically detected within 1.5 h with a linear range of 1.0 × 10

Indexed as

Microbial Sensitivity TestsPseudomonas aeruginosaAnti-Bacterial AgentsHumansPseudomonas InfectionsAnti-Bacterial Agents

Identifiers

PMID34045567
PMCPMC8159986
OpenAlexW3165126872

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.