Changed Histone Acetylation Patterns in Normal-Appearing White Matter and Early Multiple Sclerosis Lesions
Bibliographic record
Abstract
The epigenetic identity of oligodendrocytes is modulated by posttranslational modifications of histones. Acetylation of histone H3 results from the balance between the activity of histone acetyltransferases (HATs) and histone deacetylases and modulates transcriptional activation. We have previously shown that, in rodents, histone deacetylation favors oligodendrocyte differentiation, whereas acetylation is associated with increased levels of transcriptional inhibitors of oligodendrocyte differentiation. Here, we report, in humans brains, a shift toward histone acetylation in the white matter of the frontal lobes of aged subjects and in patients with chronic multiple sclerosis (MS). Increased immunoreactivity for acetylated histone H3 was observed in the nuclei of NogoA+ oligodendrocytes in a subset of MS samples. These changes were associated with high levels of transcriptional inhibitors of oligodendrocyte differentiation (i.e., TCF7L2, ID2, and SOX2) and higher HAT transcript levels (i.e., CBP, P300) in female MS patients compared with non-neurological controls and correlated with disease duration. Chromatin immunoprecipitation from samples of MS patients revealed enrichment of acetyl-histone H3 at the promoter of the increased target genes (i.e., TCF7L2). The data in chronic lesions contrasted with findings in early MS lesions, where a marked oligodendroglial histone deacetylation was observed. Together, these data suggest that histone deacetylation is a process that occurs at the early stages of the disease and whose efficiency decreases with disease duration.
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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 | 0.000 | 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) | 0.000 | 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".