Normalization of GABA<sub>A</sub> receptor specific binding in the substantia nigra reticulata and the prevention of <scp>L</scp>‐dopa‐induced dyskinesias in MPTP parkinsonian monkeys
Bibliographic record
Abstract
L-Dopa therapy in Parkinson's disease (PD) is counfounded by the development of involuntary movements such as L-Dopa-induced dyskinesias (LIDs). In this study GABA(A) receptor autoradiography was assessed using [(3)H]flunitrazepam binding to the benzodiazepine site of the GABA(A) receptor and [(35)S]t-butylbicyclophosphorothionate (TBPS) binding to the chloride channel of GABA(A) receptors in the substantia nigra reticulata (SNr) and subthalamic nucleus (STN). L-Dopa-treated parkinsonian monkeys experiencing LIDs were compared to animals in which LIDs was prevented by adjunct treatments with CI-1041, a selective antagonist of the NR1A/2B subtype of NMDA receptor, or low doses of the dopamine D2 receptor agonist, cabergoline. Our results demonstrated a decrease of GABA(A) receptor specific binding in the posterior part of the SNr in dyskinetic monkeys compared to nondyskinetic animals, while no modulation has been observed in the STN. These results provide evidence for the first time that pharmacological treatments preventing LIDs in nonhuman primate model of PD are associated with normalization of GABA(A) receptor-mediated signalling in the SNr.
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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".