Student Competition (Knowledge Generation) ID 1987946
Bibliographic record
Abstract
Background/Objectives NX210c is a 12-amino acid peptide derived from conserved thrombospondin type 1 repeat sequences in the subcommissural organ-spondin, which has a unique multifunctional mechanism of action to ameliorate outcomes following neurological injuries. The aim of this study was to evaluate the efficacy of NX210c to promote functional recovery and tissue repair in a cervical traumatic spinal cord injury (SCI) model. Methods/Overview Adult female Wistar rats were subjected to a C6/C7 clip compression-contusion injury and treated once daily with intraperitoneal injections of NX210c (8 mg/kg) or its vehicle for 8 weeks, beginning 4 hours (h) or 8h post-injury (n=16-17/group), with concurrent neurobehavioural tests. Results Earlier NX210c administration at 4h increased forelimb grip strength (p<0.05) and improved several static and dynamic aspects of locomotion including regularity index and base of support of the forelimbs (CatWalk) (p<0.05). Delaying initial administration of NX210c to 8h, promoted weight gain, accelerated bladder control recovery from 14 to 9 days post-injury, and improved trunk balance (inclined plane) as early as one-week post-injury (p<0.05). 94% of NX210c-treated rats compared to 75% of vehicle controls observed weight support at the delayed initial injection timepoint. Histology (n=6/group) demonstrated greater white matter preservation and reduced cavity size at the injury epicenter, and higher neuronal soma counts caudally, with NX210c starting 8h post-injury compared to the vehicle (p<0.05). Conclusions NX210c targets various aspects of SCI, improving motor function, bladder control, white matter preservation, and neuronal counts, with more benefits observed at the later initial injection timepoint.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.943 | 0.827 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".