Oral administration of a tri‐therapy for central pattern generator activation in paraplegic mice: Proof‐of‐concept of efficacy
Bibliographic record
Abstract
Spinal cord injury (SCI) is a neurological condition, for which no cure exists, typically leading to an immediate and irreversible loss of sensory and voluntary motor functions accompanied by significant health problems. We conducted proof-of-concept experiments aimed at assessing efficacy upon oral administration of a novel combination therapy for central pattern generator (CPG) activation and corresponding locomotor movement generation in completely paraplegic animals. Co-administration orally (by gavage) of buspirone, levodopa and carbidopa was found to dose-dependently induce episodes of steady weight-bearing stepping in low-thoracic (Th9/10) spinal cord-transected (Tx) mice (with no other form of assistance or training). Robust hindlimb stepping with weight-bearing capabilities was induced with the tri-therapy but not with clinically relevant doses of these compounds administered separately. These results provide evidence suggesting that this drug combination may be ideally suited to constitute a first-in-class therapy (CPG activator) for locomotor activity induction in chronic SCI individuals, given that efficacy was shown using commercially available brain-permeable small molecules, already known as safe for the treatment of various neurological indications.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| 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".