Effect of l‐Dopa on metabotropic glutamate receptor 5 in the brain of parkinsonian monkeys
Bibliographic record
Abstract
Behavioral investigations of selective and potent metabotropic glutamate receptor type 5 (mGluR5) antagonists in animal models suggest involvement of mGluR5 in compensatory mechanisms of the basal ganglia circuitry in Parkinson's disease and levodopa (L-Dopa) induced motor complications. This study investigated mGluR5 changes in MPTP lesioned monkeys. The effect of a chronic 1 month treatment with L-Dopa on mGluR5-specific binding and mRNA levels was investigated in MPTP monkeys killed 4 or 24 h after their last L-Dopa administration. [(3)H]ABP688 specific binding in the putamen was elevated in L-Dopa-treated MPTP monkeys killed 24 h but not 4 h after their last L-Dopa dose compared with vehicle-treated MPTP monkeys. Caudate nucleus [(3)H]ABP688-specific binding was elevated in both groups of L-Dopa treated compared with vehicle-treated MPTP monkeys. In contrast, caudate nucleus and putamen mGluR5 mRNA levels were elevated only in L-Dopa-treated MPTP monkeys killed 4 h after their last L-Dopa administration. MPTP monkeys killed 4 h after their last L-Dopa treatment showed higher caudate nucleus and putamen L-Dopa concentrations compared with those killed after 24 h. Hence, mGluR5 in the putamen are sensitive to presence of L-Dopa leading to a rapid decrease of [(3)H]ABP688-specific binding possibly involving a direct mGluR5/dopamine receptors interaction.
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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 | 0.001 |
| 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 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".