Effects of Montelukast on Neuroinflammation in Parkinson's Disease: An Open Label Safety and Tolerability Trial with <scp>CSF</scp> Markers and [<scp><sup>11</sup>C</scp>]<scp>PBR28 PET</scp>
Bibliographic record
Abstract
Abstract Background Dysregulated leukotriene signaling is proposed to be involved in pathogenesis of Parkinson's disease (PD). Objective The objective was to examine the safety and tolerability of montelukast, a cysteinyl‐leukotriene receptor1 and GPR17 antagonist, in patients with PD. Secondary outcomes were target engagement, effects on PD signs/symptoms, and central neuroinflammation. Methods Fifteen PD patients were recruited to a 12‐week open‐label trial of 20 mg bi‐daily montelukast treatment. Patients underwent ratings with the Movement Disorder Society Unified Parkinson Disease Rating Scale (MDS‐UPDRS), the Montreal Cognitive Assessment (MoCA), Beck's Depression Inventory (BDI), Parkinson's Disease Questionnaire‐39 (PDQ‐39), [ 11 C]PBR28‐PET, and lumbar punctures before and during montelukast treatment. Results All patients completed the study. Three patients reported loose stool. No serious adverse events related to treatment were reported. MDS‐UPDRS‐Total scores improved by 6.9 points. Very low levels of montelukast were detected in all cerebrospinal fluid (CSF) samples and resulted in a reduction in inflammation/metabolism markers. [ 11 C]PBR28 binding was lowered in high, but not mixed, affinity binders after montelukast. Conclusions Montelukast crosses the blood–brain barrier at very low levels and is well tolerated and safe in PD patients. Preliminary effects on neuroinflammation and clinical scores motivate a future randomized controlled trial (RCT) in PD. © 2025 The Author(s). Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.
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How this classification was reachedexpand
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".