Biosensing strategies for amyloid‐like protein aggregates
Open accessAbstract
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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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].”
From Extracellular vesicles as nanotheranostic platforms for targeted neurological disorder interventions (2024) · cites this paper as [135]
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Application of an Amyloid Beta Oligomer Standard in the sFIDA Assay
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Direct Demonstration of Seed Size-Dependent α-Synuclein Amyloid Amplification
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Biosensors for α-synuclein detection: Towards an improved diagnosis of Parkinson's disease
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Confinement-guided ultrasensitive optical assay with artificial intelligence for disease diagnostics
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Fibril-directed Therapies in Systemic Light Chain AL Amyloidosis
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Electrochemical Analysis in Studying β-Amyloid Aggregation
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Digital Dual‐Dimensional α‐Synuclein Aggregate Decoding Sensor for Parkinson's Disease Diagnostics
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Self-citationQuantifying protein aggregate concentration through electrochemical oxidation of thioflavin T
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Patterning technologies in bioanalysis: From sensing surface construction to detection applications
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Recent Advances in Protein Nanopore‐Based Analysis for Molecules Related to Cellular Metabolism
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Trends and Perspectives in Biosensing and Diagnosis
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Self-citation이예진, Seo, M., Pyo, S., Kim, Y., Choi, H. K., Shin, M., & Yoon, J. (2026) · Biosensors · doi:10.3390/bios16100541
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Self-citation
- 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
- diamond
- doi.org
- Licence
- 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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