Striatal histone modifications in models of levodopa‐induced dyskinesia
Bibliographic record
Abstract
Despite recent advances in the treatment of Parkinson disease (PD), levodopa remains the most effective and widely used therapy. A major limitation to the use of levodopa is the development of abnormal involuntary movements, termed levodopa-induced dyskinesia (LDID), following chronic levodopa treatment. Since recent studies have suggested that modifications of chromatin structure may be responsible for many long-lasting changes in brain function, we have examined post-translational modifications of striatal histones in two models of LDID: an acute murine model and a chronic macaque monkey model, both exposed to 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine (MPTP). In the primate model, which closely resembles human LDID, we observed that chronic levodopa and the appearance of LDID was associated with marked deacetylation of histone H4, hyperacetylation and dephosphorylation of histone H3, and enhancement of the phosphorylation of extracellular signal-regulated kinase (ERK). In the murine model of acutely rather than chronically induced LDID, dopamine depletion and levodopa treatment also induced deacetylation of histone H4 and phosphorylation of ERK, but histone H3 exhibited decreased trimethylation and reduced rather than enhanced acetylation. These data demonstrate striking changes in striatal histones associated with the induction of LDID in both animal models. The pattern of changes observed, as well as the behavioral features, differed in the two models. However, both models exhibit marked deacetylation of histone H4, suggesting that inhibitors of H4 deacetylation may be useful in preventing or reversing LDID.
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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".