Quantitative proteomics reveals distinct composition of amyloid plaques in Alzheimer's disease

Alzheimers Dement. 2019 Mar;15(3):429-440. doi: 10.1016/j.jalz.2018.10.006. Epub 2019 Jan 2.

Abstract

Introduction: We investigated the proteomic profiles of amyloid plaques (APs) from Alzheimer's disease (AD) and age-matched non-AD brains and APP/PS1 transgenic model mice.

Methods: APs and adjacent control regions were collected from fresh-frozen brain sections using laser capture dissection. Proteins were quantitated using tag-labeling coupled high-throughput mass spectra.

Results: Over 4000 proteins were accurately quantified, and more than 40 were identified as highly enriched in both AD and non-AD APs, including apoE, midkine, VGFR1, and complement C4. Intriguingly, proteins including synaptic structural proteins and complement C1r, C5, and C9 were found to be upregulated in AD APs but not non-AD APs. Moreover, the proteomic pattern of AD APs was distinct from APP/PS1 APs and exhibited correlation with aging hippocampus.

Discussion: Our results provide new insight into AP composition. We demonstrate unexpected differences between AD, non-AD, and APP/PS1 mouse APs, which may relate to different pathological processes.

Keywords: Alzheimer's disease; Amyloid plaque; Laser dissection; Proteomics.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Aged, 80 and over
  • Alzheimer Disease / metabolism*
  • Amyloid beta-Protein Precursor / genetics
  • Amyloid beta-Protein Precursor / metabolism
  • Animals
  • Brain / metabolism*
  • Computational Biology
  • Disease Models, Animal
  • Humans
  • Mice, Inbred C57BL
  • Mice, Transgenic
  • Middle Aged
  • Plaque, Amyloid / metabolism*
  • Presenilin-1 / genetics
  • Presenilin-1 / metabolism
  • Proteomics

Substances

  • APP protein, human
  • Amyloid beta-Protein Precursor
  • PSEN1 protein, human
  • Presenilin-1