Evidence map›Paper›PMID 41767913›Full record

ArticleBiomedical optics express2025

Nanozyme-active Au@Pt NRs array SERS platform based on a recognition competition strategy for convenient and ultrasensitive detection of miR-106a-5p associated with cerebral infarction.

Binbin Zeng, Huaiwu Fu, Cong Wu, Xudong Zhang, Tianran Li, Qiong Xu, Yayun Qian, Ruirui Yang

Abstract read
In one paragraph

Article in Biomedical optics express, 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. Review
  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

8 authors.

Binbin ZengInstitute of Translational Medicine, Medical College, Yangzhou University, Jiangsu Key Laboratory of Integrated Traditional Chinese and Western Medicine for Prevention and Treatment of Senile Diseases, Yangzhou 225001, China.
Huaiwu FuDepartment of Emergency Medicine, Guanyun People's Hospital, Yangzhou University, Lianyungang 222204, China.
Cong WuDepartment of Laboratory Medicine, Yangzhou University Hospital, Yangzhou University, Yangzhou 225001, China.
Xudong ZhangInstitute of Translational Medicine, Medical College, Yangzhou University, Jiangsu Key Laboratory of Integrated Traditional Chinese and Western Medicine for Prevention and Treatment of Senile Diseases, Yangzhou 225001, China.
Tianran LiInstitute of Translational Medicine, Medical College, Yangzhou University, Jiangsu Key Laboratory of Integrated Traditional Chinese and Western Medicine for Prevention and Treatment of Senile Diseases, Yangzhou 225001, China.
Qiong XuInstitute of Translational Medicine, Medical College, Yangzhou University, Jiangsu Key Laboratory of Integrated Traditional Chinese and Western Medicine for Prevention and Treatment of Senile Diseases, Yangzhou 225001, China.
Yayun QianInstitute of Translational Medicine, Medical College, Yangzhou University, Jiangsu Key Laboratory of Integrated Traditional Chinese and Western Medicine for Prevention and Treatment of Senile Diseases, Yangzhou 225001, China.ORCID https://orcid.org/0000-0002-3458-3377
Ruirui YangAffliated Huishan Hospital of medical College, Yangzhou University, Wuxi Huishan District People's Hospital, Wuxi 214187, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this study, we constructed a SERS assay platform that can be used for the ultrasensitive detection of cerebral infarction (CI)-associated miR-106a-5p based on the recognition competition strategy and the highly efficient catalytic activity of Au@Pt NRs nanoenzymes. When the target miR-106a-5p is present in the detection solution, it binds to the nucleic acid aptamer (cDNA), leading to the detachment of its complementary strand (H

Identifiers

PMID41767913
PMCPMC12945485

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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.