Effects of subanesthetic dose of ketamine on motor and cognitive outcomes of harmaline-induced essential tremor model: a focus on Lingo-1 and inflammatory pathways
Bibliographic record
Abstract
INTRODUCTION: Essential tremor (ET) is a common neurodegenerative disorder characterized by action tremors and various non-motor symptoms. This study investigated the potential therapeutic effects of ketamine, an NMDA receptor antagonist with known GABA modulatory and anti-inflammatory properties, in a harmaline-induced model of ET in mice. We also evaluated the changes in expression of inflammatory interleukin 6 (IL-6) as well as Leucine rich repeat and Immunoglobin-like domain-containing protein 1 (Lingo-1), a prominent gene involved in the pathogenesis of ET. METHODS: Male Swiss Webster mice were divided into four groups: control, harmaline (10 mg/kg), ketamine (8 mg/kg), and harmaline + ketamine. Tremor severity, muscle strength, locomotor activity, anxiety-like behavior, and passive avoidance learning were assessed. Cerebellar expression of Lingo-1 and IL-6 was analyzed using real-time PCR. RESULTS: Ketamine did not significantly reduce harmaline-induced tremors but improved muscle strength deficits in the wire grip test. In the open field test, ketamine normalized some harmaline-induced changes in locomotor activity and grooming behavior. No significant differences were observed in passive avoidance learning across groups. At the molecular level, ketamine did not mitigate the harmaline-induced increase in IL-6 expression, and Lingo-1 expression was not significantly altered by either harmaline or ketamine treatment. CONCLUSION: Our findings suggest that ketamine has limited efficacy in the harmaline ET model, showing some improvements in motor function and anxiety-like behavior but failing to address core tremor symptoms or modulate inflammatory and Lingo-1 pathways. These results highlight the complex nature of ET pathophysiology and the need for further research into targeted therapeutic approaches.
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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 | 0.000 | 0.001 |
| 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 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".