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http://hdl.handle.net/10773/40426
Title: | Metal-Organic Frameworks as Sensors for Human Amyloid Diseases |
Author: | Leite, José P. Figueira, Flávio Mendes, Ricardo F. Almeida Paz, Filipe A. Gales, Luís |
Keywords: | Alzheimer’s disease Amyloid biomarke Diagnostic Immunosensor Metal−organic frameworks Amyloid diseases Biosensors Amyloid inhibition |
Issue Date: | 24-Mar-2023 |
Publisher: | American Chemical Society |
Abstract: | Metal-organic frameworks (MOFs) are versatile compounds with emergent applications in the fabrication of biosensors for amyloid diseases. They hold great potential in biospecimen protection and unprecedented probing capabilities for optical and redox receptors. In this Review, we summarize the main methodologies employed in the fabrication of MOF-based sensors for amyloid diseases and collect all available data in the literature related to their performance (detection range, limit of detection, recovery, time of analysis, among other parameters). Nowadays, MOF sensors have evolved to a point where they can, in some cases, outperform technologies employed in the detection of several amyloid biomarkers (amyloid β peptide, α-synuclein, insulin, procalcitonin, and prolactin) present in biological fluids, such as cerebrospinal fluid and blood. A special emphasis has been given by researchers on Alzheimer's disease monitoring to the detriment of other amyloidosis that are underexploited despite their societal relevance (e.g., Parkinson's disease). There are still important obstacles to overcome in order to selectively detect the various peptide isoforms and soluble amyloid species associated with Alzheimer's disease. Furthermore, MOF contrast agents for imaging peptide soluble oligomers in living humans are also scarce (if not nonexistent), and action in this direction is unquestionably required to clarify the contentious link between the amyloidogenic species and the disease, guiding research toward the most promising therapeutic strategies. |
Peer review: | yes |
URI: | http://hdl.handle.net/10773/40426 |
DOI: | 10.1021/acssensors.2c02741 |
ISSN: | 2379-3694 |
Appears in Collections: | CICECO - Artigos DQ - Artigos |
Files in This Item:
File | Description | Size | Format | |
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acssensors.2c02741.pdf | 12.75 MB | Adobe PDF | View/Open |
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