A therapeutic time window for anti-CD11d monoclonal antibody treatment yielding reduced secondary tissue damage and enhanced behavioral recovery following severe spinal cord injury
Bibliographic record
Abstract
OBJECT: The purpose of this study was to investigate the therapeutic time window for antiinflammatory treatment within the first 24 hours of spinal cord injury (SCI). The authors have shown that an anti-CD11d antibody treatment attenuates leukocyte infiltration and improves neurological function when administered beginning 2 hours after SCI. A more clinically relevant time for the initiation of treatment after SCI, however, is 6 or more hours postinjury. METHODS: In Study 1, the T-4 vertebrae in four groups of rats were injured by a 50-g clip-induced compression method, and the anti-CD11d antibody (1 mg/kg) was intravenously administered starting 2, 6, 12, or 24 hours postinjury. All groups received subsequent doses at 24 and 48 hours, and animals were killed at 72 hours. The anti-CD11d antibody treatment starting at 6 hours postinjury caused significant attenuation of leukocyte infiltration, reactive oxygen species-associated enzymes, and secondary tissue damage. Based on these findings, Study 2 included two groups of rats receiving the aforementioned injury and treatment beginning at 6 hours postinjury (with subsequent treatments at 24 and 48 hours) with the anti-CD11d or a control antibody (1B7); these rats were then observed for 5 weeks. Basso-Beattie-Bresnahan (BBB) scores were significantly higher in anti-CD11d-treated rats (mean BBB score 8.9 +/- 0.1) than controls (mean BBB score 7.7 +/- 0.1) 5 weeks postinjury. Increases in mean arterial pressure during colon distension were smaller in anti-CD11d-treated rats (19.5 +/- 3.7 mm Hg) than in controls (37.4 +/- 4.7 mm Hg). CONCLUSIONS: These findings suggest that antiinflammatory treatments that reduce secondary tissue damage after SCI may be delayed until 6 hours postinjury and still be effective.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".