Evidence map›Paper›PMID 40542164›Full record

ArticleMikrochimica acta2025

Electrochemical glycoproteins sensor for sensitive diagnosis of PD: Ag@MSNs-MPBA as a specific signal amplifier and reporter.

Xiaohui Xu, Wenyi Yang, Yajing Zhang, Yindian Wang, Zhihui Mao, Xinsheng Peng, Yunyun Ling, Zhao-Huan Zhang, Hongxia Chen

Abstract read
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In one paragraph

Article in Mikrochimica acta, 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

9 authors.

Xiaohui Xu *School of Preclinical Medicine, Wannan Medical College, Wuhu, 241002, People's Republic of China.
Wenyi Yang *School of Life Sciences, Shanghai University, Shanghai, 200444, People's Republic of China.
Yajing ZhangQianweichang College, Shanghai University, Shanghai, 200444, People's Republic of China.
Yindian WangSchool of Medicine, Shanghai University, Shanghai, 200444, People's Republic of China.
Zhihui MaoSchool of Chemistry and Chemical Engineering, Shanghai Jiao Tong University, Shanghai, 200240, People's Republic of China.
Xinsheng PengSchool of Medicine, Shanghai University, Shanghai, 200444, People's Republic of China.
Yunyun LingDepartment of Chemistry, Wannan Medical College, Wuhu, 241002, People's Republic of China.
Zhao-Huan ZhangDepartment of Laboratory Medicine, Changzheng Hospital, Naval Medical University, Shanghai, 200003, People's Republic of China. zhaohuanpost2016@163.com.
Hongxia ChenSchool of Preclinical Medicine, Wannan Medical College, Wuhu, 241002, People's Republic of China. hxchen@shu.edu.cn.

Funding

Anhui Provincial Natural Science Foundation no. 2208085MH221The Key Scientific Research Program of Wannan Medical College WK2020Z16The Research Fund for University Natural Science Research Project of Anhui Province KJ2021A0825the Scientific Research and Innovation Team, Education Department of Anhui Province, China no. 2023AH010072
6 · The paper itself

Abstract

Glycoprotein non-metastatic melanoma protein B (GPNMB) is a candidate biomarker of Parkinson's disease (PD). The development of a novel method for highly sensitive and specific detection of GPNMB is essential for PD's early and accurate diagnosis. An electrochemical biosensor was developed utilizing silver nanoparticle-loaded mesoporous silica (Ag@MSNs) with 4-mercaptophenylboronic acid (4-MPBA) modification for the sensitive and selective detection of GPNMB. MSNs were utilized as an excellent loading substrate for silver nanoparticles. 4-MPBA at the surface of Ag@MSNs can bind GPNMB specifically through the boronic acid group and multi-glycosylation sites of GPNMB. The finally prepared Ag@MSNs-MPBA exhibited a core-shell structure, which served as a highly efficient electrochemical signal amplifier and selective binding reporter. The enhanced electrochemical signal sensitivity was attributed to the output of the electrochemical signal of Ag through preventing the agglomeration of AgNPs and efficient capture of GPNMB by Ag@MSNs-MPBA. The analysis results demonstrated that the developed electrochemical sensor successfully detected GPNMB with an LOD as low as 0.9011 ng/mL (S/N = 3) in the detection range 1 to 100 ng/mL. The low-cost Ag@MSNs-MPBA replaces the conventional secondary antibody and can integrate signal labels and signal amplification. This work highlights the significant improvement in electrochemical sensing and detection performance achieved by utilizing Ag@MSNs-MPBA, providing a straightforward and general approach for low-cost and sensitive detection of glycoproteins through electrochemical measurement.

Indexed as

Biosensing TechniquesBoronic AcidsElectrochemical TechniquesMembrane GlycoproteinsMetal NanoparticlesHumansLimit of DetectionSilicon DioxideSilverSulfhydryl Compounds4-mercaptophenylboronic acidBoronic AcidsGPNMB protein, humanMembrane GlycoproteinsSilicon DioxideSilverSulfhydryl Compounds4-MPBAAg@MSNsElectrochemical sensorGlycoproteinGPNMBParkinson’s disease

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Registered trials

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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.