Predictive network analysis identifies <i>JMJD6</i> and other potential key drivers in Alzheimer's disease



Merchant, Julie P, Zhu, Kuixi, Henrion, Marc YR ORCID: 0000-0003-1242-839X, Zaidi, Syed SA, Lau, Branden, Moein, Sara, Alamprese, Melissa L, Pearse II, Richard V, Bennett, David A, Ertekin-Taner, Niluefer
et al (show 2 more authors) (2023) Predictive network analysis identifies <i>JMJD6</i> and other potential key drivers in Alzheimer's disease. COMMUNICATIONS BIOLOGY, 6 (1). 503-.

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Abstract

Despite decades of genetic studies on late-onset Alzheimer's disease, the underlying molecular mechanisms remain unclear. To better comprehend its complex etiology, we use an integrative approach to build robust predictive (causal) network models using two large human multi-omics datasets. We delineate bulk-tissue gene expression into single cell-type gene expression and integrate clinical and pathologic traits, single nucleotide variation, and deconvoluted gene expression for the construction of cell type-specific predictive network models. Here, we focus on neuron-specific network models and prioritize 19 predicted key drivers modulating Alzheimer's pathology, which we then validate by knockdown in human induced pluripotent stem cell-derived neurons. We find that neuronal knockdown of 10 of the 19 targets significantly modulates levels of amyloid-beta and/or phosphorylated tau peptides, most notably JMJD6. We also confirm our network structure by RNA sequencing in the neurons following knockdown of each of the 10 targets, which additionally predicts that they are upstream regulators of REST and VGF. Our work thus identifies robust neuronal key drivers of the Alzheimer's-associated network state which may represent therapeutic targets with relevance to both amyloid and tau pathology in Alzheimer's disease.

Item Type: Article
Uncontrolled Keywords: Neurons, Humans, Alzheimer Disease, tau Proteins, Jumonji Domain-Containing Histone Demethylases, Induced Pluripotent Stem Cells, Amyloid beta-Peptides
Divisions: Faculty of Health and Life Sciences
Faculty of Health and Life Sciences > Institute of Infection, Veterinary and Ecological Sciences
Depositing User: Symplectic Admin
Date Deposited: 02 Feb 2024 10:30
Last Modified: 02 Feb 2024 10:30
DOI: 10.1038/s42003-023-04791-5
Open Access URL: https://doi.org/10.1038/s42003-023-04791-5
Related URLs:
URI: https://livrepository.liverpool.ac.uk/id/eprint/3178292