Early anti‐inflammatory treatment reduces lipid peroxidation and protein nitration after spinal cord injury in rats
Bibliographic record
Abstract
We investigated mechanisms by which a monoclonal antibody (mAb) against the CD11d subunit of the leukocyte integrin CD11d/CD18 improves neurological recovery after spinal cord injury (SCI) in the rat. The effects of an anti-CD11d mAb treatment were assessed on ED-1 expression (estimating macrophage infiltration), myeloperoxidase activity (MPO, approximating neutrophil infiltration), lipid peroxidation, inducible nitric oxide synthase (iNOS) and nitrotyrosine (indicating protein nitration) expression in the spinal cord lesion after severe clip-compression injury. Protein expression was evaluated by western blotting and immunocytochemistry. Lipid peroxidation was assessed by thiobarbituric acid reactive substances (TBARS) production. After anti-CD11d mAb treatment, decreased ED-1 expression at 6-72 h after SCI indicated reduced macrophage infiltration. MPO activity (units/g tissue) was reduced significantly from 114 +/- 11 to 75 +/- 8 (- 34%) at 6 h and from 38 +/- 2 to 22 +/- 4 (- 42%) at 72 h. After SCI, anti-CD11d mAb treatment significantly reduced TBARS from 501 +/- 61 to 296 +/- 17 nm (- 41%) at 6 h and to approximately uninjured values (87 nm) at 72 h. The mAb treatment also attenuated the expression of iNOS and formation of nitrotyrosine at 6-72 h after SCI. These data indicate that anti-CD11d mAb treatment blocks intraspinal neutrophil and macrophage infiltration, reducing the intraspinal concentrations of reactive oxygen and nitrogen species. These effects likely underlie improved tissue preservation and neurological function resulting from the mAb treatment.
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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 | 0.000 |
| 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".