Cited by 16Alzheimer's disease research and treatmentsAdvanced biosensing and bioanalysis techniquesBiosensors and Analytical Detection

Biosensing strategies for amyloid‐like protein aggregates

Open access
Zhou, Yuhang, Yan, Shijun, Dong, Wanting, Wu, Chenyao, Zhao, Zhen, Wang, Renzhi, Duo, Yanhong, Huang, Yongzhi +2 more·2024·BMEMat

Abstract

Protein aggregate species play a pivotal role in the pathology of various degenerative diseases. Their dynamic changes are closely correlated with disease progression, making them promising candidates as diagnostic biomarkers. Given the prevalence of degenerative diseases, growing attention is drawn to develop pragmatic and accessible protein aggregate species detection technology. However, the performance of current detection methods is far from satisfying the requirements of extensive clinical use. In this review, we focus on the design strategies, merits, and potential shortcomings of each class of detection methods. The review is organized into three major parts: native protein sensing, seed amplification, and intricate program, which embody three different but interconnected methodologies. To the best of our knowledge, no systematic review has encompassed the entire workflow, from the molecular level to the apparatus organization. This review emphasizes the feasibility of the methods instead of theoretical detection limitations. We conclude that high selectivity does play a pivotal role, while signal compilation, multilateral profiling, and other patient‐oriented strategies (i.e. less invasiveness and assay speed) are also important.

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Crossref · 10.1002/bmm2.12053

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  • EVs released from brain cells affected by AD, such as neural cells that undergo degeneration, have been identified to carry pathological proteins associated with the disease.

    “EVs released from brain cells affected by AD, such as neural cells that undergo degeneration, have been identified to carry pathological proteins associated with the disease [128, 135].”

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Authors
Zhou, Y., Yan, S., Dong, W., Wu, C., Zhao, Z., Wang, R., Duo, Y., Huang, Y., Xu, D., & Jiang, C.
Affiliations
  • Chinese University of Hong Kong (HK)
  • John Radcliffe Hospital (GB)
  • Chinese Academy of Sciences (CN)
  • Harvard University (US)
  • Tianjin University (CN)
  • Shenzhen Hicontac Technologies Co., LTD. Shenzhen China
Corresponding author
  • Duo, Yanhong
  • Huang, Yongzhi
  • Jiang, Cheng
Venue
BMEMat
Publisher
Wiley
Published
2023-10-07
Volume
2
Issue
1
ISSN
  • 2751-7446 (ISSN-L)
  • 2751-7438
OpenAlex
W4387433710
Cited by
16
References
123
Citations by year
2026: 6 · 2025: 6 · 2024: 4
FWCI
2.84
Type
journal article
Language
en
Open access
Locations
  • BMEMat (publishedVersion, cc-by)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
Basic and Applied Basic Research Foundation of Guangdong Province (2022A1515110206)
Topics
  • Health Sciences › Medicine › Physiology › Alzheimer's disease research and treatments
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Advanced biosensing and bioanalysis techniques
  • Physical Sciences › Engineering › Biomedical Engineering › Biosensors and Analytical Detection
Keywords
biosensing, degenerative diseases, diagnostic biomarkers, assay selectivity, disease progression

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