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Multiscale causal networks identify VGF as a key regulator of Alzheimer's disease

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  • 05/21/2025
Type of Material
Authors
    Noam D. Beckmann, Icahn School of Medicine at Mount SinaiWei-Jye Lin, Sun Yat Sen UniversityMinghui Wang, Icahn School of Medicine at Mount SinaiAriella T. Cohain, Icahn School of Medicine at Mount SinaiAlexander W. Charney, Icahn School of Medicine at Mount SinaiPei Wang, Icahn School of Medicine at Mount SinaiWeiping Ma, Icahn School of Medicine at Mount SinaiYing-Chih Wang, Icahn School of Medicine at Mount SinaiCheng Jiang, Icahn School of Medicine at Mount SinaiMickael Audrain, Icahn School of Medicine at Mount SinaiPhillip H. Comella, Icahn School of Medicine at Mount SinaiAmanda K Fakira, Icahn School of Medicine at Mount SinaiSiddharth P. Hariharan, Icahn School of Medicine at Mount SinaiGillian M. Belbin, Icahn School of Medicine at Mount SinaiKiran Girdhar, Icahn School of Medicine at Mount SinaiAllan Levey, Emory UniversityNicholas Seyfried, Emory UniversityEric Dammer, Emory UniversityDuc Duong, Emory UniversityJames Lah, Emory UniversityJean-Vianney Haure-Mirande, Icahn School of Medicine at Mount SinaiBen Shackleton, Icahn School of Medicine at Mount SinaiTomas Fanutza, Icahn School of Medicine at Mount SinaiRobert Blitzer, Icahn School of Medicine at Mount SinaiEimear Kenny, Icahn School of Medicine at Mount SinaiJun Zhu, Icahn School of Medicine at Mount SinaiVahram Haroutunian, Icahn School of Medicine at Mount SinaiPavel Katsel, Icahn School of Medicine at Mount SinaiSam Gandy, Icahn School of Medicine at Mount SinaiZhidong Tu, Icahn School of Medicine at Mount SinaiMichelle E. Ehrlich, Icahn School of Medicine at Mount SinaiBin Zhang, Icahn School of Medicine at Mount SinaiStephen R. Salton, Icahn School of Medicine at Mount SinaiEric E. Schadt, Icahn School of Medicine at Mount Sinai
Language
  • English
Date
  • 2020-08-07
Publisher
  • Nature Research
Publication Version
Copyright Statement
  • © The Author(s) 2020.
License
Final Published Version (URL)
Title of Journal or Parent Work
Volume
  • 11
Issue
  • 1
Start Page
  • 3942
End Page
  • 3942
Grant/Funding Information
  • P.W. and W.M. are partly supported by Grant U24-29CA 210093, from the National Cancer Institute Clinical Proteomic Tumor Analysis Consortium (CPTAC).
  • W.-J.L. was supported by grants from Guangdong Science and 1715 Technology Department (2017B030314026), National Natural Science Foundation of China (No. 81972967), Natural Science Foundation of Guangdong Province (2019A1515011754).
  • W.-J.L. was supported by grant from Guangdong Science and Technology Department (2017B030314026).
  • This project was also supported by the BrightFocus Foundation (S.R.S. and M.A.), the Alzheimer’s Drug Discovery Foundation (S.R.S.), and the Cure Alzheimer’s Fund (M.E.E. and S.R.S.).
  • This work was supported by NIH/NIA Grants U01AG046170, HHSN271201300031, MH086499, MH083496, R01AG046170, RF1AG054014, RF1AG057440, R01AG057907, R01AG055501, U01AG046161, P50AG025688, P30NS055077, 5R01AG053960, and 5R01AG062355.
Supplemental Material (URL)
Abstract
  • Though discovered over 100 years ago, the molecular foundation of sporadic Alzheimer’s disease (AD) remains elusive. To better characterize the complex nature of AD, we constructed multiscale causal networks on a large human AD multi-omics dataset, integrating clinical features of AD, DNA variation, and gene- and protein-expression. These probabilistic causal models enabled detection, prioritization and replication of high-confidence master regulators of AD-associated networks, including the top predicted regulator, VGF. Overexpression of neuropeptide precursor VGF in 5xFAD mice partially rescued beta-amyloid-mediated memory impairment and neuropathology. Molecular validation of network predictions downstream of VGF was also achieved in this AD model, with significant enrichment for homologous genes identified as differentially expressed in 5xFAD brains overexpressing VGF. Our findings support a causal role for VGF in protecting against AD pathogenesis and progression.
Author Notes
Keywords
Research Categories
  • Health Sciences, Pharmacology
  • Engineering, Biomedical
  • Biology, Genetics
  • Biology, Neuroscience

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