Journal article
Recent Advances in the Application Peptide and Peptoid in Diagnosis Biomarkers of Alzheimer’s Disease in Blood
- Abstract:
- Alzheimer’s disease (AD) is one of the most common neurodegenerative diseases with irreversible damage of the brain and a continuous pathophysiological process. Early detection and accurate diagnosis are essential for the early intervention of AD. Precise detection of blood biomarkers related to AD could provide a shortcut to identifying early-stage patients before symptoms. In recent years, targeting peptides or peptoids have been chosen as recognition elements in nano-sensors or fluorescence detection to increase the targeting specificity, while peptide-based probes were also developed considering their specific advantages. Peptide-based sensors and probes have been developed according to different strategies, such as natural receptors, high-throughput screening, or artificial design for AD detection. This review will briefly summarize the recent developments and trends of AD diagnosis platforms based on peptide and peptoid as recognition elements and provide insights into the application of peptide and peptoid with different sources and characteristics in the diagnosis of AD biomarkers.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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(Preview, Version of record, pdf, 2.9MB, Terms of use)
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- Publisher copy:
- 10.3389/fnmol.2021.778955
Authors
+ National Natural Science Foundation of China
More from this funder
- Funder identifier:
- https://ror.org/01h0zpd94
- Publisher:
- Frontiers Media
- Journal:
- Frontiers in Molecular Neuroscience More from this journal
- Volume:
- 14
- Pages:
- 778955
- Publication date:
- 2021-12-23
- DOI:
- EISSN:
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1662-5099
- ISSN:
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1662-5099
- Language:
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English
- Keywords:
- Pubs id:
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1268671
- UUID:
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uuid_c14590e9-fa5b-4b40-92ef-03a383f485a7
- Local pid:
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pubs:1268671
- Source identifiers:
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W4200011164
- Deposit date:
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2025-11-20
- ARK identifier:
This ORA record was generated from metadata provided by an external service. It has not been edited by the ORA Team.
Terms of use
- Copyright date:
- 2021
- Licence:
- CC Attribution (CC BY)
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