The α<sub>2</sub> adrenergic antagonist fipamezole improves quality of levodopa action in Parkinsonian primates
Bibliographic record
Abstract
Reduction in the antiparkinsonian benefit of levodopa is a major complication of long-term levodopa treatment in advanced Parkinson's disease (PD). Such loss of benefit arises because of reduced duration of action and appearance of disabling dyskinesia. We assess the potential of the α(2) adrenergic antagonist fipamezole to reduce motor complications in parkinsonian macaques. MPTP-lesioned macaques were treated acutely with fipamezole (10 mg/kg) alone and in combination with two doses of levodopa. Fipamezole extended both duration and quality of antiparkinsonian action of levodopa. Duration of antiparkinsonian action, on time, was increased by up to 75% while "good-quality" on time, i.e., that not associated with disabling dyskinesia, was increased by up to 98%. Combination of fipamezole with the lower dose of levodopa provided antiparkinsonian benefit at least equivalent to that provided by the higher dose levodopa alone. However, with the combination, antiparkinsonian benefit was of much better quality. The proportion of on time without disabling dyskinesia (79%) was significantly greater than that with high dose levodopa alone (45%). Increased duration and quality of levodopa action may represent therapeutically valuable actions of α(2) adrenergic antagonists.
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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".