L-745,870 reduces the expression of abnormal involuntary movements in the 6-OHDA-lesioned rat
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
L-3,4-Dihydroxyphenylalanine (L-DOPA) is the most effective treatment for Parkinson's disease, but chronic administration is complicated by the development of dyskinesia. We have previously demonstrated that the dopamine D4 receptor antagonist L-745,870 reduces the severity of L-DOPA-induced dyskinesia in the 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine (MPTP)-lesioned macaque without compromising L-DOPA antiparkinsonian benefits. In the current study, we have addressed the effects of L-745,870 on the expression of L-DOPA-induced abnormal involuntary movements (AIMs) in the 6-hydroxydopamine-lesioned rat. Rats were primed with repeated L-DOPA administration, after which acute challenges of L-DOPA/L-745,870 (vehicle, 0.1, 0.3 and 1 mg/kg) were administered, and AIMs were assessed. Rotarod performance and AIMs were assessed. In L-DOPA-primed rats, L-745,870 (1 mg/kg, but not lower doses) alleviated previously established AIMs (by 84%, P<0.001). Whereas rotarod performance was significantly improved by L-DOPA/vehicle treatment, L-DOPA/L-745,870 failed to improve rotarod performance (P>0.05), suggesting that, in contrast to the MPTP-lesioned macaque, L-745,870 reduces L-DOPA antiparkinsonian benefit in the rat model. Overall, these data suggest that L-745,870 may have a narrow therapeutic window as an antidyskinetic agent in advanced Parkinson's disease.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 it