DNA methylation patterns and epigenetic aging associated with suicide attempts in bipolar disorder.
BACKGROUND: Suicidal thoughts and behaviors (STBs) are a public health issue highly prevalent in bipolar disorder (BD). Multiple factors contribute to STBs, and new evidence highlights the significant role of epigenetics, specifically DNA methylation (DNAm). Additionally, recent studies found accele...
| Autores: | , , , , , , , , , , , , , , , , , , , |
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| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2026 |
| País: | España |
| Institución: | Fundació Sant Joan de Déu |
| Repositorio: | r-FSJD. Repositorio Institucional de Producción Científica de la Fundació Sant Joan de Déu |
| OAI Identifier: | oai:fsjd.fundanetsuite.com:p29066 |
| Acceso en línea: | https://fsjd.fundanetsuite.com/Publicaciones/ProdCientif/PublicacionFrw.aspx?id=29066 |
| Access Level: | acceso abierto |
| Palabra clave: | Bipolar disorder DNA methylation EWAS Epigenetic aging Epigenetic clocks Suicide attempts |
| Sumario: | BACKGROUND: Suicidal thoughts and behaviors (STBs) are a public health issue highly prevalent in bipolar disorder (BD). Multiple factors contribute to STBs, and new evidence highlights the significant role of epigenetics, specifically DNA methylation (DNAm). Additionally, recent studies found accelerated epigenetic aging (EA) in both BD and STBs. This study aimed to detect epigenetic risk factors for STBs, particularly for suicide attempts (SAs), comparing DNAm patterns and EA between BD patients with (BD/SA) and without (BD/non-SA) a history of SAs. Moreover, EA was calculated to explore age acceleration (AgeAccel) in the BD/SA group. METHODS: Genome-wide DNAm patterns of blood samples from 46 BD/SA and 32 BD/non-SA were assessed using Infinium HumanMethylationEPIC v1.0 BeadChip (Illumina). Differentially methylated positions (DMPs) and regions (DMRs) were compared between groups. Gene network analysis was performed using genes mapped to DMPs and DMRs. Lastly, EA from different epigenetic clocks was estimated and compared between groups. RESULTS: We identified 18 DMPs and 2 DMRs (adjusted p-value < 0.05) between BD/SA and BD/non-SA. Among the 18 genes mapped to DMPs and DMRs, the MAD1L1 gene was previously associated with severe SAs. Trends of AgeAccel using the GrimAge and GrimAge2 clocks (p-value = 0.022; adjusted p-value > 0.05) were found in BD/SA. LIMITATIONS: Relatively small sample size, cross-sectional design, and use of peripheral blood. CONCLUSIONS: Our findings highlight the importance of considering epigenetic markers when studying SAs in mental disorders. These results may contribute to a better understanding of the biological basis of SAs in BD, which could ultimately help identify at-risk individuals for SAs. |
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