Effect of the mGlu2 receptor positive allosteric modulator AZD8529 on L-DOPA-induced dyskinesia and psychosis-like behaviours in the parkinsonian marmoset
Bibliographic record
Abstract
AZD8529 is a highly selective metabotropic glutamate 2 (mGlu 2 ) receptor positive allosteric modulator (PAM) that has undergone clinical trials for schizophrenia and smoking cessation. Previously, we demonstrated that the selective mGlu 2 receptor PAMs LY-487,379, CBiPES, and biphenylindanone A (BINA) alleviated L-3,4-dihydroxyphenylalanine (L-DOPA)-induced dyskinesia and psychosis-like behaviours (PLBs) in the 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine (MPTP)-lesioned marmoset model of Parkinson’s disease (PD). However, these drugs are not clinical candidates because of their pharmacological properties, contrary to AZD8529 which could be repurposed if pre-clinically efficacious. To assess the effect of AZD8529 on L-DOPA-induced dyskinesia and PLBs in the MPTP-lesioned marmoset, we first determined the pharmacokinetic (PK) profile of AZD8529 in this species to inform dose selection such that drug plasma levels were clinically relevant. Then, MPTP-lesioned animals were treated with L-DOPA with either vehicle or AZD8529 (0.1, 0.3, 1, and 10 mg/kg). The results showed a reduction in global dyskinesia severity (up to 70%, P < 0.001), and in duration of on-time with disabling dyskinesia (up to 97%, P < 0.001) when compared to L-DOPA/vehicle. Similarly, there was a reduction in global PLB severity (up to 64%, P < 0.001), and in duration of on-time with disabling PLBs (up to 94%, P < 0.001) when compared to L-DOPA/vehicle. Additionally, AZD8529 increased the duration of the anti-parkinsonian action of L-DOPA at doses of 0.3 mg/kg and above (up to 29%, P < 0.05). Our results further demonstrate the potential of AZD8529 and mGlu 2 receptor positive allosteric modulation for alleviating L-DOPA-induced dyskinesia and PLBs while amplifying the therapeutic efficacy of L-DOPA.
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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) | 0.001 | 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".