Blood-based Alzheimer's disease diagnosis using fluorescent peptide nanoparticle arrays
There is a critical need to diagnose and monitor the progression of Alzheimer's disease (AD) using blood-based biomarkers. At present, it is believed that tau biomarkers can be utilized to reliably detect AD. Multimodal techniques are highly sought after for AD diagnosis and progression monitor...
Saved in:
Published in | Chinese chemical letters Vol. 33; no. 4; pp. 1946 - 1950 |
---|---|
Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
Elsevier B.V
01.04.2022
Key Laboratory of Space Bioscience and Biotechnology,School of Life Sciences,Northwestern Polytechnical University,Xi'an 710072,China |
Subjects | |
Online Access | Get full text |
Cover
Loading…
Summary: | There is a critical need to diagnose and monitor the progression of Alzheimer's disease (AD) using blood-based biomarkers. At present, it is believed that tau biomarkers can be utilized to reliably detect AD. Multimodal techniques are highly sought after for AD diagnosis and progression monitoring. For this purpose, we developed a fluorescent peptide nanoparticles (f-PNPs) arrays that is capable of detecting multiple signals simultaneously. The concentration, aggregation stages, and Young's modulus of tau biomarkers could be analyzed by monitoring the changes of multimodal fluorescence intensity, nano-morphological, and nano-mechanical properties of the f-PNPs arrays. Experimental results indicated that, compared to healthy human, the concentration, Young's modulus, and aggregation levels of tau proteins in blood samples of clinically diagnosed AD patients increased continuously with the increase of disease severity. The minimally invasive and multimodal characterization techniques showed high signal-to-noise ratio for AD diagnosis.
[Display omitted]
The self-assembly of anti tau fluorescent peptide nanoparticle arrays can be utilized to detect tau biomarkers for Alzheimer's disease diagnosis. |
---|---|
ISSN: | 1001-8417 1878-5964 |
DOI: | 10.1016/j.cclet.2021.10.071 |