Genome-wide methylation patterns associated with chronic stress

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Authors: Nicholas O’Toole, Tieyuan Zhang, Eamon Fitzgerald, Xianglan Wen, Josie C. Diorio, Patricia P Silveira, Benoit Labonté, EJ Nestler, Michael J Meaney
Cited by: 1
References: 115

Abstract

BACKGROUND: Chronic social defeat stress (CSDS) is a validated animal model for depression that produces sustained behavioral and transcriptional changes in the brain, notably the nucleus accumbens (nAcc). RESEARCH DESIGN AND METHODS: We used genome-wide analysis of cytosine methylation patterns in mouse nAcc following CSDS to identify candidate epigenetic mechanisms. RESULTS: CSDS produced extensive differential methylation, increasing CG hypermethylation compared to control conditions; non-CG methylation showed the opposite trend. Highly differentially methylated (DM) regions included several genes implicated in behavioral effects of CSDS, including estrogen receptor alpha (Esr1). CONCLUSIONS: Analysis of DM sites within gene bodies revealed ß-catenin as a hub gene of a network including the ß-catenin-related WNT/frizzled signaling pathway. Analysis of DM sites upstream of transcription start sites revealed a gene network with the Tcf4 transcription factor as a hub. Genes DM within the gene body were enriched for synaptic function and primarily expressed in D1+ and D2+ medium spiny neurons, which, like the WNT/ß-catenin pathway, are estrogen sensitive and implicated in the behavioral effects of CSDS. We found significant overlap between DM genes associated with CSDS and those associated with major depressive disorder in genome-wide association studies, suggesting that effects on DNA methylation are implicated in the molecular pathways that link chronic stress to depression.

Fields of Study & Subjects

Epigenetics and DNA Methylation Wnt/β-catenin signaling in development and cancer Genetic Associations and Epidemiology

Publication details

Journal / source
Epigenomics
Publisher
Informa UK Limited
Volume
18
Issue
1
Pages
73–88
Publication date
2 January 2026
Language
EN