Epigenetic Aging in Major Depressive Disorder

Abstract

Objective: Major depressive disorder is associated with an increased risk of mortality and aging-related diseases. The authors examined whether major depression is associated with higher epigenetic aging in blood as measured by DNA methylation (DNAm) patterns, whether clinical characteristics of major depression have a further impact on these patterns, and whether the findings replicate in brain tissue.

Method: DNAm age was estimated using all methylation sites in blood of 811 depressed patients and 319 control subjects with no lifetime psychiatric disorders and low depressive symptoms from the Netherlands Study of Depression and Anxiety. The residuals of the DNAm age estimates regressed on chronological age were calculated to indicate epigenetic aging. Major depression diagnosis and clinical characteristics were assessed with questionnaires and psychiatric interviews. Analyses were adjusted for sociodemographic characteristics, lifestyle, and health status. Postmortem brain samples of 74 depressed patients and 64 control subjects were used for replication. Pathway enrichment analysis was conducted using ConsensusPathDB to gain insight into the biological processes underlying epigenetic aging in blood and brain.

Results: Significantly higher epigenetic aging was observed in patients with major depression compared with control subjects (Cohen's d=0.18), with a significant dose effect with increasing symptom severity in the overall sample. In the depression group, epigenetic aging was positively and significantly associated with childhood trauma score. The case-control difference was replicated in an independent data set of postmortem brain samples. The top significantly enriched Gene Ontology terms included neuronal processes.

Conclusions: As compared with control subjects, patients with major depression exhibited higher epigenetic aging in blood and brain tissue, suggesting that they are biologically older than their corresponding chronological age. This effect was even more profound in the presence of childhood trauma.

Keywords: Assay Techniques; Genetics; Mood Disorders-Unipolar.

Conflict of interest statement

CONFLICT OF INTEREST

The authors report no biomedical financial interests or potential conflicts of interest. BP has received research funding –non-related to the current study – from Jansen Research and Boehringer Ingelheim.

Figures

FIGURE 1.. DNA methylation age (DNAmAge) prediction using Methyl-CpG binding domain protein-enriched genome sequencing (MBD-seq) in NESDA.

The plot shows the prediction of DNAmAge using MBD-seq across groups in blood. The lines indicate regression lines (controls: r=0.94, major depressive disorder (MDD): r=0.96, both P’s<0.001). Each circle or triangle represents an individual subject (N=1130): red triangles represent patients with MDD (n=811) and blue circles represent controls (n=319). The arrows indicate the outcome variable Epigenetic Aging (EA), representing higher epigenetic aging if the individual’s estimated DNAmAge exceeds chronological age (upward arrow), whereas negative EA indicates lower epigenetic aging (downward arrow).