Evidence map›Paper›PMID 40637488›Full record

ArticleBJPsych open2025

Immune DNA methylation in depression: cross-sectional and longitudinal study.

Marisol Herrera-Rivero, Matthias Nauck, Klaus Berger, Bernhard T Baune

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Article in BJPsych open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
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1citing papers in PubMed
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1 · What the graph read from it

What it found

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Marisol Herrera-RiveroDepartment of Psychiatry, University of Münster, Münster, Germany.ORCID https://orcid.org/0000-0001-7064-9487
Matthias NauckInstitute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Greifswald, Germany.
Klaus BergerInstitute of Epidemiology and Social Medicine, University of Münster, Münster, Germany.
Bernhard T BauneDepartment of Psychiatry, University of Münster, Münster, Germany.ORCID https://orcid.org/0000-0001-6548-426X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundImmune dysregulation contributes to the pathophysiology of depression and is a potential link between depression and comorbid medical conditions. DNA methylation is a dynamic transcriptional regulator of the immune system.

aimsTo study changes in DNA methylation of disease- and comorbidity-associated immune genes in patients with and without depression diagnoses from the German BiDirect Study.

methodWe performed a cross-sectional (baseline, y0) and longitudinal (consecutive assessments at 3-year intervals, y0, y3, y6) differential methylation analyses of 382 immune-related genes associated with depression, obesity, diabetes and/or gout in 276 patients with depression and in 207 individuals without a lifetime depression diagnosis from the BiDirect Study. In addition, we applied unsupervised clustering to identify subgroups of individuals with depression based on longitudinal methylation patterns.

resultsThere were no significant methylation changes between individuals with depression and controls at baseline. Follow-up analyses used to assess the top (

conclusionsOur results suggest that immune dysregulation associated with DNA methylation profiles contributes to the pathophysiology of depression and is a plausible link to chronic medical conditions such as diabetes.

Indexed as

DepressiondiabetesDNA methylationimmunityinflammation

Identifiers

PMID40637488
PMCPMC12247058

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