Publication

A Multi-network Approach Identifies Protein-Specific Co-expression in Asymptomatic and Symptomatic Alzheimer's Disease

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Last modified
  • 03/14/2025
Type of Material
Authors
    Nicholas Seyfried, Emory UniversityEric B Dammer, Emory UniversityVivek Swarup, University of California Los AngelesDivya Nandakumar, Emory UniversityDuc M. Duong, Emory UniversityLumin Yin, Emory UniversityQiudong Deng, Emory UniversityTram Nguyen, Emory UniversityChad Hales, Emory UniversityThomas Wingo, Emory UniversityJonathan D Glass, Emory UniversityMarla Gearing, Emory UniversityMadhav Thambisetty, Johns Hopkins School of MedicineJuan C. Troncoso, Johns Hopkins School of MedicineDaniel H. Geschwind, University of California Los AngelesJames J Lah, Emory UniversityAllan I Levey, Emory University
Language
  • English
Date
  • 2017-01-25
Publisher
  • Elsevier
Publication Version
Copyright Statement
  • © 2017 The Authors
Final Published Version (URL)
Title of Journal or Parent Work
ISSN
  • 2405-4720
Volume
  • 4
Issue
  • 1
Start Page
  • 60
End Page
  • +
Grant/Funding Information
  • This research was also supported in part by the Intramural Research Program of the NIH, National Institute on Aging.
  • N.T.S. is supported in part by a Biomarkers Across Neurodegenerative Diseases grant ( 11060 ) funded by the Alzheimer's Association (ALZ), Alzheimer’s Research UK (ARUK), The Michael J. Fox Foundation for Parkinson’s Research (MJFF), and the Weston Brain Institute.
  • Support for this study was provided by grants from the Accelerating Medicine Partnership AD ( U01AG046161-02 ), the NINDS Emory Neuroscience Core ( P30NS055077 ), the Johns Hopkins Alzheimer’s Disease Research Center( P50AG05146 ), and the Emory Alzheimer's Disease Research Center ( P50AG025688 ).
  • J.C.T was also supported by a BrightFocus Foundation (A2015332S).
Supplemental Material (URL)
Abstract
  • Here we report proteomic analyses of 129 human cortical tissues to define changes associated with the asymptomatic and symptomatic stages of Alzheimer's disease (AD). Network analysis revealed 16 modules of co-expressed proteins, 10 of which correlated with AD phenotypes. A subset of modules overlapped with RNA co-expression networks, including those associated with neurons and astroglial cell types, showing altered expression in AD, even in the asymptomatic stages. Overlap of RNA and protein networks was otherwise modest, with many modules specific to the proteome, including those linked to microtubule function and inflammation. Proteomic modules were validated in an independent cohort, demonstrating some module expression changes unique to AD and several observed in other neurodegenerative diseases. AD genetic risk loci were concentrated in glial-related modules in the proteome and transcriptome, consistent with their causal role in AD. This multi-network analysis reveals protein- and disease-specific pathways involved in the etiology, initiation, and progression of AD.
Author Notes
Keywords
Research Categories
  • Chemistry, Biochemistry
  • Health Sciences, Pathology

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