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.

Nanoscale Advances
|August 6, 2021
PubMed

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.