Proteomic and biological profiling of extracellular vesicles from Alzheimer's disease human brain tissues

Satoshi Muraoka, Annina M. DeLeo, Manveen K. Sethi, Kayo Yukawa-Takamatsu, Zijian Yang, Jina Ko, John D. Hogan, Zhi Ruan, Yang You, Yuzhi Wang, Maria Medalla, Seiko Ikezu, Mei Chen, Weiming Xia, Santhi Gorantla, Howard E. Gendelman, David Issadore, Joseph Zaia, Tsuneya Ikezu

Research output: Contribution to journalArticlepeer-review

93 Scopus citations


Introduction: Extracellular vesicles (EVs) from human Alzheimer's disease (AD) biospecimens contain amyloid beta (Aβ) peptide and tau. While AD EVs are known to affect brain disease pathobiology, their biochemical and molecular characterizations remain ill defined. Methods: EVs were isolated from the cortical gray matter of 20 AD and 18 control brains. Tau and Aβ levels were measured by immunoassay. Differentially expressed EV proteins were assessed by quantitative proteomics and machine learning. Results: Levels of pS396 tau and Aβ1–42 were significantly elevated in AD EVs. High levels of neuron- and glia-specific factors are detected in control and AD EVs, respectively. Machine learning identified ANXA5, VGF, GPM6A, and ACTZ in AD EV compared to controls. They distinguished AD EVs from controls in the test sets with 88% accuracy. Discussion: In addition to Aβ and tau, ANXA5, VGF, GPM6A, and ACTZ are new signature proteins in AD EVs.

Original languageEnglish (US)
Pages (from-to)896-907
Number of pages12
JournalAlzheimer's and Dementia
Issue number6
StatePublished - Jun 1 2020


  • Alzheimer's disease
  • amyloid beta peptide
  • cortical gray matter
  • extracellular vesicles
  • machine learning
  • microtubule-associated protein tau
  • proteome

ASJC Scopus subject areas

  • Epidemiology
  • Health Policy
  • Developmental Neuroscience
  • Clinical Neurology
  • Geriatrics and Gerontology
  • Cellular and Molecular Neuroscience
  • Psychiatry and Mental health


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