Sex-divergent brain epigenetic reprogramming by chronic opioids
Bibliographic record
Abstract
Abstract Opioid use disorder (OUD) is a chronic condition that exhibits sex differences in prevalence, symptoms and treatment. Yet, the epigenetic mechanisms underlying these differences remain largely unknown. Here, we investigated the nucleus accumbens, a key brain region in OUD, to define the multiomic consequences of chronic morphine exposure in male and female mice. We profiled DNA methylation, five histone post-translational modifications, and their transcriptional effects at bulk and cell-type-specific levels. Despite comparable tissue organization and neurophysiological responses to morphine, epigenetic adaptations occurred at highly sex-specific genomic loci. These adaptations nevertheless followed common mechanistic principles, acting at similar gene features and transcription factor binding sites across sexes. Strikingly, they converged on overlapping genes, biological functions, and co-expression modules, and partially recapitulated transcriptional signatures of OUD in men and women. Therefore, our findings uncover a profound epigenetic sex divergence that mediates convergent biological dysregulation, and highlight opportunities for developing improved therapeutic strategies tailored to sex-specific mechanisms.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".