DNA methylation in people with anorexia nervosa: Epigenome-wide patterns in actively ill, long-term remitted, and healthy-eater women
Bibliographic record
Abstract
Objectives Recent studies have reported altered methylation levels at disorder-relevant DNA sites in people who are ill with Anorexia Nervosa (AN) compared to findings in people with no eating disorder (ED) or in whom AN has remitted. The preceding implies state-related influences upon gene expression in people with AN. This study further examined this notion.Methods We measured genome-wide DNA methylation in 145 women with active AN, 49 showing stable one-year remission of AN, and 64 with no ED.Results Comparisons revealed 205 differentially methylated sites between active and no ED groups, and 162 differentially methylated sites between active and remitted groups (Q < 0.01). Probes tended to map onto genes relevant to psychiatric, metabolic and immune functions. Notably, several of the genes identified here as being differentially methylated in people with AN (e.g. SYNJ2, PRKAG2, STAT3, CSGALNACT1, NEGR1, NR1H3) have figured in previous studies on AN. Effects also associated illness chronicity and lower BMI with more pronounced DNA methylation alterations, and remission of AN with normalisation of DNA methylation.Conclusions Findings corroborate earlier results suggesting reversible DNA methylation alterations in AN, and point to particular genes at which epigenetic mechanisms may act to shape AN phenomenology.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 teacher head, 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".