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Updated: Oct 25, 2025

Detecting Amyloid-β Accumulation via Immunofluorescent Staining in a Mouse Model of Alzheimer's Disease
Published on: April 19, 2021
Identification of amyloid beta in small extracellular vesicles via Raman spectroscopy
Meruyert Imanbekova1, Sorina Suarasan1, Tatu Rojalin2
1Department of Bioengineering, McGill University Montreal QC H3A 0E9 Canada sebastian.wachsmannhogiu@mcgill.ca.
Abstract:
One of the hallmarks of Alzheimer's disease (AD) pathogenesis is believed to be the production and deposition of amyloid-beta (Aβ) peptide into extracellular plaques. Existing research indicates that extracellular vesicles (EVs) can carry Aβ associated with AD. However, characterization of the EVs-associated Aβ and its conformational variants has yet to be realized. Raman spectroscopy is a label-free and non-destructive method that is able to assess the biochemical composition of EVs. This study reports for the first time the Raman spectroscopic fingerprint of the Aβ present in the molecular cargo of small extracellular vesicles (sEVs). Raman spectra were measured from sEVs isolated from Alzheimer's disease cell culture model, where secretion of Aβ is regulated by tetracycline promoter, and from midbrain organoids. The averaged spectra of each sEV group showed considerable variation as a reflection of the biochemical content of sEVs. Spectral analysis identified more intense Raman peaks at 1650 cm-1 and 2930 cm-1 attributable to the Aβ peptide incorporated in sEVs produced by the Alzheimer's cell culture model. Subsequent analysis of the spectra by principal component analysis differentiated the sEVs of the Alzheimer's disease cell culture model from the control groups of sEVs. Moreover, the results indicate that Aβ associated with secreted sEVs has a α-helical secondary structure and the size of a monomer or small oligomer. Furthermore, by analyzing the lipid content of sEVs we identified altered fatty acid chain lengths in sEVs that carry Aβ that may affect the fluidity of the EV membrane. Overall, our findings provide evidence supporting the use of Raman spectroscopy for the identification and characterization of sEVs associated with potential biomarkers of neurological disorders such as toxic proteins.
Insights
Raman spectroscopy identified amyloid-beta (Aβ) in small extracellular vesicles (sEVs) from Alzheimer's models. This technique characterizes Aβ structure and sEV lipid alterations, aiding neurological disorder biomarker discovery.
Area of Science:
- Neuroscience
- Biochemistry
- Spectroscopy
Background:
- Alzheimer's disease (AD) pathogenesis involves amyloid-beta (Aβ) plaque formation.
- Extracellular vesicles (EVs) are known to transport Aβ, but their cargo remains poorly characterized.
- Characterizing Aβ conformation within EVs is crucial for understanding AD.
Purpose of the Study:
- To report the first Raman spectroscopic fingerprint of Aβ within small extracellular vesicles (sEVs).
- To characterize the conformational state and lipid alterations of Aβ-associated sEVs.
- To evaluate Raman spectroscopy as a tool for identifying AD-related sEV biomarkers.
Main Methods:
- Isolation of sEVs from an Alzheimer's disease cell culture model and midbrain organoids.
- Label-free Raman spectroscopy to analyze the biochemical composition of sEVs.
- Principal component analysis (PCA) for spectral differentiation and Aβ structural analysis.
Main Results:
- Raman spectra revealed distinct peaks (1650 cm⁻¹, 2930 cm⁻¹) associated with Aβ in AD model sEVs.
- PCA successfully differentiated sEVs from AD models versus control groups.
- Aβ in sEVs exhibited an α-helical structure, consistent with monomers or small oligomers.
- Altered fatty acid chain lengths in Aβ-carrying sEVs suggest changes in membrane fluidity.
Conclusions:
- Raman spectroscopy provides a unique fingerprint for identifying and characterizing Aβ within sEVs.
- Findings support the potential of Raman spectroscopy for detecting neurological disorder biomarkers, including toxic proteins in sEVs.
- This study highlights altered sEV lipid profiles in the context of Aβ association.
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