Publication

Identification of Conserved Proteomic Networks in Neurodegenerative Dementia

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Last modified
  • 09/10/2025
Type of Material
Authors
    Vivek Swarup, University of California Los AngelesTimothy S Chang, University of California Los AngelesDuc M Duong, Emory UniversityEric Dammer, Emory UniversityJingting Dai, Emory UniversityJames Lah, Emory UniversityErik Johnson, Emory UniversityNicholas Seyfried, Emory UniversityAllan Levey, Emory UniversityDaniel H Geschwind, University of California Los Angeles
Language
  • English
Date
  • 2020-06-23
Publisher
  • CELL PRESS
Publication Version
Copyright Statement
  • © 2020 The Authors.
License
Final Published Version (URL)
Title of Journal or Parent Work
Volume
  • 31
Issue
  • 12
Start Page
  • 107807
End Page
  • 107807
Grant/Funding Information
  • Support for this research was provided by funding from the National Institute of Neurological Disorders and Stroke (NINDS), United States (R25NS065723 Translational Neuroscience Training Grant, P30NS055077 NINDS Emory Neuroscience Core) and National Institute on Aging (NIA), United States (R01AG053960, R01AG057911, R01AG061800, RF1AG057470, RF1AG05747101, U01AG046161 Accelerating Medicine Partnership for Alzheimer’s disease, P50AG025688 Emory Alzheimer’s Disease Research Center).
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Abstract
  • Data-driven analyses are increasingly valued in modern medicine. We integrate quantitative proteomics and transcriptomics from over 1,000 post-mortem brains from six cohorts representing Alzheimer's disease (AD), asymptomatic AD, progressive supranuclear palsy (PSP), and control patients from the Accelerating Medicines Partnership – Alzheimer's Disease consortium. We define robust co-expression trajectories related to disease progression, including early neuronal, microglial, astrocyte, and immune response modules, and later mRNA splicing and mitochondrial modules. The majority of, but not all, modules are conserved at the transcriptomic level, including module C3, which is only observed in proteome networks and enriched in mitogen-activated protein kinase (MAPK) signaling. Genetic risk enriches in modules changing early in disease and indicates that AD and PSP have distinct causal biological drivers at the pathway level, despite aspects of similar pathology, including synaptic loss and glial inflammatory changes. The conserved, high-confidence proteomic changes enriched in genetic risk represent targets for drug discovery. Swarup et al. use a multi-omic, multi-cohort approach to identify robust early and late proteomic changes in AD and other neurodegenerative dementias and find that genetic risk is differentially enriched across disorders. Shared co-expression modules showing consistent molecular alterations at multi-omic levels are ripe for future investigation as drug targets.
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