Delayed Precursor Cell Markers Expression in Hippocampus following Cold-Induced Cortical Injury in Mice
Bibliographic record
Abstract
The purpose of this study was to examine the possibility of neuronal remodeling and repair after cold-induced brain injury using immunoassay of nestin and 3CB2 (potential precursor cell markers). Male ddN strain mice were subjected to cold-induced cortical injury. Animals were divided into the following six groups: (1) 1 day after injury, (2) 1 week after injury, (3) 2 weeks after injury, (4) 1 month after injury, (5) sham controls, and (6) normal controls. Western blot analysis (n = 3 in each group) and histological examination (n = 5 in each group) were performed. At 1 day and 1 week after injury, TUNEL-positive cells were observed, while immunoreactivity of nestin and 3CB2 was absent. At 1 month after injury, expression of both nestin and 3CB2 was observed in the ipsilateral hippocampus. Nestin was expressed in GFAP- or 3CB2-positive astrocytes at 1 month after injury, and nestin expression with TUC-4 (immature neuron marker) was present in the hippocampal cell layer. The findings demonstrate delayed nestin expression in both glia and neuronlike cells after brain injury. The present study suggests that the delayed nestin expression in glia and neuron-like cells might be part of the adaptation to injury.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 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 | 0.001 |
| 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 source (direct Gemma or distilled Codex), 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".