Inhibition of Fas-Mediated Apoptosis through Administration of Soluble Fas Receptor Improves Functional Outcome and Reduces Posttraumatic Axonal Degeneration after Acute Spinal Cord Injury
Bibliographic record
Abstract
Fas receptor activation has been implicated in inflammatory responses, programmed cell death, Wallerian degeneration in neural injury and the axotomy induced death of motoneurons. Recent work using transection models of spinal cord injury (SCI) demonstrated that neutralization of Fas ligand with antibodies may promote axonal regeneration and functional recovery. Moreover, recent studies from our laboratory in mutant mice with deficient expression of Fas, show reduced cell death and enhanced behavioural recovery after SCI. The present paper examines the effects of soluble Fas receptor (sFasR) administration on inhibition of Fas receptor-Fas ligand interaction in the setting of acute SCI in vitro and in vivo. An in vitro model of SCI demonstrated that sFasR administration decreases cell death as assessed by propidium iodide fluorescence. Furthermore, in a moderately severe in vivo clip compression model of SCI at C7-T1, we demonstrate that subarachnoid infusion of sFasR results in increased neuron and oligodendrocyte survival, improved tissue and long tract axonal preservation, reduced apoptotic cell death and enhanced functional neurological outcome after acute SCI. These results strongly suggest that inhibiting Fas receptor activation is neuroprotective after acute SCI and that this strategy may have important translational significance.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 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 | 0.000 |
| 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".