Intrinsic Visible Emission of Amyloid-β Oligomers: A Potential Tool for Early Alzheimer’s Diagnosis

28 January 2025, Version 1
This content is a preprint and has not undergone peer review at the time of posting.

Abstract

Alzheimer’s disease (AD) is a major public health challenge in ageing societies, with its onset occurring years before symptoms appear. In recent decades, growing evidence has identified soluble amyloid-β (Aβ) oligomers as key species in the pathogenesis and diagnosis of AD, underscoring the urgent need for an early detection of these oligomers. Current techniques, such as fluorescence correlation spectroscopy (FCS), are valuable for studying Aβ aggregation but are unsuitable for routine use in clinical settings. This study investigates the potential of Aβ autofluorescence as a diagnostic tool using steady-state fluorescence spectroscopy, a more accessible and practical technique. Aβ40 exhibits autofluorescence dominated by tyrosine emission, which undergoes a spectral shift and quenching during oligomerization. Additionally, a distinct aggregation-induced emission in the visible spectral region correlates with Aβ oligomer concentration, providing a means to detect and quantify oligomers. At the critical aggregation concentrations of Aβ40 (cac1 = 0.5 µM and cac2 = 19 µM), distinct aggregation behaviors were observed, including reversible and kinetically trapped aggregate populations. This intrinsic fluorescence approach eliminates the need for extrinsic probes, simplifying experimental procedures and reducing artefacts. The findings suggest that autofluorescence could serve as a straightforward, sensitive, and accessible method for detecting early oligomers, with potential applications in early AD diagnostics.

Keywords

amyloid-β
aggregation-induced emission
autofluorescence
oligomers
Alzheimer’s disease

Supplementary materials

Title
Description
Actions
Title
Supporting Information
Description
Supporting Information with Materials and Methods, along with Additional Data.
Actions

Comments

Comments are not moderated before they are posted, but they can be removed by the site moderators if they are found to be in contravention of our Commenting Policy [opens in a new tab] - please read this policy before you post. Comments should be used for scholarly discussion of the content in question. You can find more information about how to use the commenting feature here [opens in a new tab] .
This site is protected by reCAPTCHA and the Google Privacy Policy [opens in a new tab] and Terms of Service [opens in a new tab] apply.