| Title: | Biological Aging Acceleration in Major Depressive Disorder: A Multi-Omics Analysis |
| Journal: | Aging Cell |
| Published: | 4 Dec 2025 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/41342072/ |
| DOI: | https://doi.org/10.1111/acel.70310 |
Publication 16748
WARNING: the interactive features of this website use CSS3, which your browser does not support. To use the full features of this website, please update your browser.
Abstract
Major depressive disorder (MDD) is linked to a higher risk of premature aging, but the mechanisms underlying this association remain unclear. Using data from two population cohorts (UK Biobank and Finnish Twin Cohort), we evaluate the relationship between systemic and organ-specific proteomic and epigenetic aging acceleration and MDD. A lifetime history of MDD was associated with accelerated proteomic aging at both systemic and organ-specific levels-including the brain-in both cohorts, with stronger associations than those observed with systemic epigenetic aging. Systemic and brain-specific proteomic aging acceleration were linked to higher risks of incident MDD and a greater risk of Alzheimer's disease, related dementia, and mortality among individuals with MDD in the UK Biobank. Evidence of depressive episode remission attenuated the association between MDD and systemic and brain-specific proteomic aging acceleration. Finally, Mendelian randomization analyses revealed a causal effect of MDD on systemic and brain-specific proteomic aging acceleration. Our results suggest a strong bidirectional association between MDD and biological aging acceleration. Biological aging acceleration, assessed by proteomic systemic and organ-specific clocks, can serve as a novel therapeutic target for treating MDD and for mitigating the long-term risks of adverse health outcomes associated with this condition.</p>
11 Authors
- Breno Satler Diniz
- Shangshu Zhao
- Gabin Drouard
- Eero Vuoksimaa
- Miina Ollikainen
- Eric J. Lenze
- Ming Xu
- Richard H. Fortinsky
- George A. Kuchel
- Jaakko Kaprio
- Chia-Ling Kuo
1 Application
| Application ID | Title |
|---|---|
| 92647 | Research to Inform the Field of Precision Gerontology |
Enabling scientific discoveries that improve human health