Metal-Organic Frameworks as Sensors for Human Amyloid Diseases

55Citations
Citations of this article
49Readers
Mendeley users who have this article in their library.

This article is free to access.

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.

Cite

CITATION STYLE

APA

Leite, J. P., Figueira, F., Mendes, R. F., Almeida Paz, F. A., & Gales, L. (2023, March 24). Metal-Organic Frameworks as Sensors for Human Amyloid Diseases. ACS Sensors. American Chemical Society. https://doi.org/10.1021/acssensors.2c02741

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free