Evidence map›Paper›PMID 40418370›Full record

ReviewCellular and molecular neurobiology2025

Polymer-Based Electrochemical Sensors for the Diagnosis of Neurodegenerative Diseases.

Qitong Zhang, Guangran Zhao, Shilin Wang, Yuxuan Song, Yuanzheng Sun

Abstract readReview
In one paragraph

Review in Cellular and molecular neurobiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Peptide Aptamers: Innovative Design and Applications in Pathogen Detection.Chembiochem : a European journal of chemical biology · 2026
    Review
  2. Article
  3. Review
  4. 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

5 authors.

Qitong ZhangHeilongjiang University of Traditional Chinese Medicine, Harbin, 150040, Heilongjiang, China.
Guangran ZhaoThe Second Department of Acupuncture and Moxibustion, The Second Affiliated Hospital of Heilongjiang University of Traditional Chinese Medicine, Harbin, 150000, Heilongjiang, China.
Shilin WangThe Second Department of Acupuncture and Moxibustion, The Second Affiliated Hospital of Heilongjiang University of Traditional Chinese Medicine, Harbin, 150000, Heilongjiang, China.
Yuxuan SongHeilongjiang University of Traditional Chinese Medicine, Harbin, 150040, Heilongjiang, China.
Yuanzheng SunThe Second Department of Acupuncture and Moxibustion, The Second Affiliated Hospital of Heilongjiang University of Traditional Chinese Medicine, Harbin, 150000, Heilongjiang, China. yuanzhengsun24@gmail.com.

Funding

National Famous Traditional Chinese Medicine Expert Inheritance Studio Construction Project of the State Administration of Traditional Chinese Medicine [Guozhong Pharmaceutical Renjiao Fa (2014) No. 20], 2023 Heilongjiang University of Traditional Chinese Medicine Graduate Innovation Research Project (Project Number: 2023yjscx004) Project Number: 2023yjscx004
6 · The paper itself

Abstract

Acute and chronic neurodegenerative diseases (NDs), including multiple sclerosis (MS), Alzheimer's disease (AD), and Parkinson's disease (PD), are characterized by neurodegeneration, which is the gradual malfunction and damage of neurons and axons in the central nervous system. Improved clinical diagnostic workups and the development and tracking of successful disease-modifying treatments are made possible by detecting appropriate neurodegenerative disease (ND) biomarkers. Important biomarkers, such as Tau proteins, amyloid-β, and α-synucleins, are essential for precise identification but are often evaluated using time-consuming, expensive, and traditional techniques like polymerase chain reaction (PCR) and enzyme-linked immunosorbent assay (ELISA). Due to its exceptional selectivity and sensitivity, electrochemical biosensing has become a popular, low-cost substitute for more conventional diagnostic methods. Nanoparticles in biosensors are particularly noteworthy because they improve electron transport and aid in immobilizing biorecognition components. Conducting polymers have shown great potential in the field of electrochemical sensing. Conducting polymers have shown great potential in electrochemical sensing. Additionally, research has shown that polypyrrole, polyaniline, poly(3,4-ethylenedioxythiophene), and poly(thiophene) are often regarded as among the best conducting polymers for fabricating electrochemical sensors. Moreover, a hydrogel biosensor allows for the detection of many parameters simultaneously with real-time monitoring, allowing for more accurate and timely tracking of multiple indicators of a patient. Hydrogel nano(bio)composite sensors that use electrochemical transduction methods to detect analytes are also available. Hydrogel-based polymer sensors for early-stage neurodegenerative diagnosis are examined in this review in a novel way. Afterward, we reviewed electrochemical sensors developed for detecting biomarkers related to diseases, including multiple sclerosis, Alzheimer's, Parkinson's, and Huntington's. There have also been developments devised to enhance efficacy of electrochemical diagnostic tools to address their limitations. In this respect, we have also reviewed many polymers used in electrochemical diagnosis of neurological disorders. Finally, we have also evaluated the limits and prospects of clinical trials involving these electrochemical means of diagnoses.

Indexed as

Biosensing TechniquesElectrochemical TechniquesNeurodegenerative DiseasesPolymersAnimalsBiomarkersHumansBiomarkersPolymersConducting polymer sensorsElectrochemical sensorsHydrogel nanocompositesNeurodegenerative diseasesPoint-of-care diagnostics

Identifiers

PMID40418370
PMCPMC12106273

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.