Epigenetic Markers of Response to Psychotherapy in Obsessive-Compulsive Disorder
Hoeffler, K. D.; Stavrum, A.-K.; Halvorsen, M. W.; Olsen Eide, T.; Hagen, K.; Lillevik Thorsen, A.; Ousdal, O. T.; Kvale, G.; Crowley, J. J.; Haavik, J.; Ressler, K. J.; Hansen, B.; Le Hellard, S.
Show abstract
BackgroundCognitive-behavioral therapy (CBT) is a widely used treatment for mental disorders, yet the biological mechanisms underlying its effects, and the factors contributing to response, remain poorly understood. DNA methylation, an epigenetic mechanism shaped by both genetic and environmental factors, may offer insights into individual differences in psychotherapy outcomes. MethodsSaliva samples were collected before treatment, after treatment, and three months post-treatment from individuals with OCD undergoing the Bergen 4-Day Treatment (n = 889). DNA methylation was measured using the Illumina EPIC v02 array, followed by epigenome-wide DNA methylation analyses of CBT response. ResultsWe identified ten differentially methylated regions (DMRs) associated with treatment response at baseline, 23 DMRs showing consistent associations with response across multiple time points, and three DMRs displaying longitudinal methylation changes associated with response. These loci were annotated to genes with roles in neuroplasticity, stress response, immune function, mitochondrial processes, and gene regulation. Baseline and stable methylation signals were largely influenced by genetic variation, whereas all longitudinal associations appeared to be confounded by psychoactive medication use and psychiatric comorbidities. In addition, changes in monocyte and CD4+T cell proportions were associated with treatment response. ConclusionsWe identified DNA methylation markers associated with CBT response in OCD at baseline. Stable methylation patterns associated with treatment response are likely driven by genetic factors. Longitudinal methylation analyses should be interpreted cautiously, as medication and comorbidities can exert substantial effects - even when they remain unchanged over time. Baseline methylation profiles may ultimately help predict treatment outcomes, thereby advancing precision psychiatry.
Matching journals
The top 3 journals account for 50% of the predicted probability mass.
Similar papers in this journal
Similar papers in this journal
- Blood epigenome-wide association studies of suicide attempt in adults with bipolar disorder 94%
- Genome-wide Association Study of Pediatric Obsessive-Compulsive Traits: Shared Genetic Risk between Traits and Disorder 93%
- Divergent gene expression in alcohol and opioid usedisorders results in consistent alterations in functional networks in the Dorsolateral Prefrontal Cortex 93%
Similar papers in this journal
- Epigenome-wide Association Study of Alcohol Use Disorder in Five Brain Regions 94%
- Genetic overlap between mood instability and alcohol-related phenotypes suggests shared biological underpinnings 93%
- Estimating the direct effects of the genetic liabilities to bipolar disorder, schizophrenia, and behavioral traits on suicide attempt using a multivariable Mendelian randomization approach 93%
Similar papers in this journal
- Multi-polygenic scores in psychiatry: from disorder-specific to transdiagnostic perspectives 93%
- Polygenic risk scores for psychiatric, inflammatory, and cardio-metabolic traits and diseases highlight possible genetic overlaps with suicide attempt and treatment-emergent suicidal ideation 93%
- Black EquaLity in OCD NeuroGenomics (BELONG): Study Protocol 92%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.