Evidence map›Paper›PMID 35733690›Full record

ArticleRSC advances2022

SERS based Y-shaped aptasensor for early diagnosis of acute kidney injury.

Dan Li, Linlu Zhao, Jin Qian, Heng Liu, Jinmao You, Ziyi Cheng, Fabiao Yu

Open access · goldAbstract read
In one paragraph

Article in RSC advances, 2022. 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
0.9field-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

2 citing papers in PubMed, 7 citations in OpenAlex.

  1. Review
  2. 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

7 authors at 2 institutions in 1 country.

Dan LiKey Laboratory of Life-Organic Analysis of Shandong Province, School of Chemistry and Chemical Engineering, Qufu Normal University Qufu 273165 PR China jmyou6304@163.com.
Linlu ZhaoLaboratory of Neurology, The First Affiliated Hospital of Hainan Medical University, Hainan Medical University Haikou 571199 China chengziyi@hainmc.edu.cn yufabiao@hainmc.edu.cn.
Jin QianLaboratory of Neurology, The First Affiliated Hospital of Hainan Medical University, Hainan Medical University Haikou 571199 China chengziyi@hainmc.edu.cn yufabiao@hainmc.edu.cn.
Heng LiuLaboratory of Neurology, The First Affiliated Hospital of Hainan Medical University, Hainan Medical University Haikou 571199 China chengziyi@hainmc.edu.cn yufabiao@hainmc.edu.cn.ORCID https://orcid.org/0000-0003-3968-8386
Jinmao YouKey Laboratory of Life-Organic Analysis of Shandong Province, School of Chemistry and Chemical Engineering, Qufu Normal University Qufu 273165 PR China jmyou6304@163.com.ORCID https://orcid.org/0000-0002-8808-6085
Ziyi ChengLaboratory of Neurology, The First Affiliated Hospital of Hainan Medical University, Hainan Medical University Haikou 571199 China chengziyi@hainmc.edu.cn yufabiao@hainmc.edu.cn.ORCID https://orcid.org/0000-0002-4142-9378
Fabiao YuLaboratory of Neurology, The First Affiliated Hospital of Hainan Medical University, Hainan Medical University Haikou 571199 China chengziyi@hainmc.edu.cn yufabiao@hainmc.edu.cn.ORCID https://orcid.org/0000-0003-0073-6299
Hainan Medical University · CNQufu Normal University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Considering the pivotal role of biomarkers in plasma, the development of biomarker specific sensing platforms is of great significance to achieve accurate diagnosis and monitor the occurrence and progress in acute kidney injury (AKI). In this paper, we develop a promising surface-enhanced Raman scattering-based aptasensor for duplex detection of two protein biomarkers in AKI. Exploiting the base-pairing specificity of nucleic acids to form a Y-shaped self-assembled aptasensor, the MGITC labelled gold nanoparticles will be attached to the surface of magnetic beads. In the presence of specific AKI-related biomarkers, the gold nanoparticles will detach from magnetic beads into the supernatant, thus leading to a SERS signal increase, which can be used for the highly sensitive analysis of target biomarkers. In addition, the limit of detection calculated for each biomarker indicates that the SERS-based aptasensor can well meet the detection requirements in clinical applications. Finally, the generality of this sensor in the early diagnosis of AKI is confirmed by using a rat model and spiked plasma samples. This sensing platform provides a facile and general route for sensitive SERS detection of AKI-related biomarkers, which offers great promising utility for

Identifiers

PMID35733690
PMCPMC9135001
OpenAlexW4283391292

What OpenQuestion holds

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LicenceCC BY-NC
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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.