Minocycline Reduces the Severity of Autonomic Dysreflexia after Experimental Spinal Cord Injury
Bibliographic record
Abstract
Spinal cord injury (SCI) is a devastating neurological condition for which there is no effective treatment to restore neurological function. The development of new treatments for those with SCI may be hampered by the insensitivity of clinical tools to assess motor function in humans. Treatments aimed at preserving neuronal function through anti-inflammatory pathways (i.e., neuroprotection) have been a mainstay of pre-clinical SCI research for decades. Minocycline, a clinically available antibiotic agent with anti-inflammatory properties, has demonstrated promising neuroprotective effects in a variety of animal models and improved motor recovery in a Phase-2 human trial. Here, we leveraged our recently developed T3 severe contusion model in the rat to determine the ability of minocycline to preserve descending sympathoexcitatory axons and improve cardiovascular control after SCI. Forty-one male Wistar rats were randomized to either a treatment group (minocycline; n = 20) or a control group (vehicle; n = 21). All rats received a severe T3 contusion. Minocycline (or vehicle) was administered intraperitoneally at one hour post-injury (90 mg/kg), then every 12 h for two weeks (45 mg/kg). Neuroanatomical correlates (lesion area, descending sympathoexcitatory axons) were assessed, in addition to an assessment of cardiovascular control (hemodynamics, autonomic dysreflexia) and motor behavior. Here, we show that minocycline reduces lesion area, increases the number of descending sympathoexctitatory axons traversing the injury site, and ultimately reduces the severity of autonomic dysreflexia. Finally, we show that autonomic dysreflexia is a more sensitive marker of treatment stratification than motor function.
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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 | 0.000 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".