The highly selective mGlu <sub>2</sub> receptor positive allosteric modulator LY‐487,379 alleviates <scp>l</scp> ‐DOPA‐induced dyskinesia in the 6‐OHDA‐lesioned rat model of Parkinson's disease
Bibliographic record
Abstract
Abstract l ‐3,4‐Dihydroxyphenylalanine ( l ‐DOPA) is the most effective treatment for Parkinson's disease (PD), but its use over a long period is marred by motors complications such as dyskinesia. We previously demonstrated that selective metabotropic glutamate 2/3 (mGlu 2/3 ) receptor activation with LY‐354,740 alleviates dyskinesia in the 1‐methyl‐4‐phenyl‐1,2,3,6‐tetrahydropyridine (MPTP)‐lesioned marmoset and the 6‐hydroxydopamine (6‐OHDA)‐lesioned rat. Here, we sought to determine the role played by selective mGlu 2 activation in the anti‐dyskinetic effect of mGlu 2/3 stimulation and have investigated the effect of the highly selective mGlu 2 positive allosteric modulator LY‐487,379 at alleviating established, and preventing the development of, l ‐DOPA‐induced dyskinesia in the 6‐OHDA‐lesioned rat. First, dyskinetic 6‐OHDA‐lesioned rats were administered l ‐DOPA in combination with LY‐487,379 (0.1, 1 and 10 mg/kg) or vehicle, and the severity of dyskinesia was determined. Second, 6‐OHDA‐lesioned rats were administered LY‐487,379 (0.1 or 1 mg/kg), started concurrently with l ‐DOPA, once daily for 22 days, and dyskinesia severity was evaluated weekly for four consecutive weeks. We also assessed the effect of LY‐487,379 on l ‐DOPA anti‐parkinsonian effect. We found that acute challenges of LY‐487,379 0.1 mg/kg in combination with l ‐DOPA, significantly diminished dyskinesia severity, by ≈54% ( p < .01), when compared to vehicle. Moreover, animals treated with l ‐DOPA/LY‐487,379 0.1 and 1 mg/kg during the dyskinesia induction phase exhibited milder dyskinesia, by ≈74% and ≈61%, respectively (both p < .01), when compared to l ‐DOPA/vehicle. LY‐487,379 did not impair l ‐DOPA anti‐parkinsonian activity. These results suggest that mGlu 2 activation may be an effective and promising therapeutic strategy to alleviate the severity and prevent the development of dyskinesia.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".