Evidence map›Paper›PMID 37358746›Full record

ArticleMolecular biotechnology2024

Target Recognition Initiated Self-Assembly-Based Signal Amplification Strategy for Sensitive and Colorimetric Staphylococcus aureus Detection and Diagnosis of Skin Infection.

Juan Chu, Xiaoqin Zhao

Abstract read
PubMed Publisher
In one paragraph

Article in Molecular biotechnology, 2024. 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
0.2field-weighted citation impact, top 53% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Advances in methods for rapid detection of Staphylococcus aureus and methicillin-resistant S. aureus.Analytical sciences : the international journal of the Japan Society for Analytical Chemistry · 2025
    Review
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 at 1 institution in 1 country.

Juan ChuDepartment of Dermatology, Zhuji Affiliated Hospital of Shaoxing University, No.9 Jianmin Road, Taozhu Street, Zhuji City, 311800, Zhejiang Province, China. 742047028@qq.com.
Xiaoqin ZhaoDepartment of Dermatology, Zhuji Affiliated Hospital of Shaoxing University, No.9 Jianmin Road, Taozhu Street, Zhuji City, 311800, Zhejiang Province, China. nongnong51898@163.com.ORCID http://orcid.org/0000-0002-6815-4503
Shaoxing University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Staphylococcus aureus (S. aureus), as a Gram-positive bacterium, is commonly encountered in various infectious diseases, such as acute skin and soft tissue infections. Despite that many efforts have been made, sensitive and reliable quantitative determination of S. aureus remains a huge challenge. Here, we depict a novel colorimetric approach for sensitive and accurate detection by combining allosteric probe-based target recognition and chain extension-based dual signal recycling. The single-strand DNA (ssDNA) products generated by the chain extension process lead to the liberation of G-quadruplex sequences, which can fold into active DNAzyme under the assistance of hemin. The active DNAzyme can work as peroxidase mimics to catalyze the 2,2'-azino-bis(3-ethylbenzothiazoline-6-sulfonic acid) diammonium salt (ABTS

Indexed as

ColorimetryDNA, CatalyticStaphylococcus aureusBenzothiazolesBiosensing TechniquesDNA, Single-StrandedG-QuadruplexesHumansHydrogen PeroxideLimit of DetectionStaphylococcal InfectionsStaphylococcal Skin InfectionsSulfonic Acids2,2'-azino-di-(3-ethylbenzothiazoline)-6-sulfonic acidBenzothiazolesDNA, CatalyticDNA, Single-StrandedHydrogen PeroxideSulfonic AcidsAcute skin and soft tissue infections (SSTIs)ColorimetricG-quadruplexHeminStaphylococcus aureus

Identifiers

PMID37358746
OpenAlexW4382010880

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.