Bone-Marrow–Derived Endothelial Progenitor Cell Treatment in a Model of Lateral Fluid Percussion Injury in Rats: Evaluation of Acute and Subacute Outcome Measures
Bibliographic record
Abstract
Traumatic brain injury (TBI) continues to be a serious health care issue while therapies to treat TBI remain elusive. Promising results from the use of endothelial progenitor cells (EPCs) in numerous disease states highlight the pleiotropic capacity of this cell type. We have previously demonstrated that EPC-conditioned media reduces axonal degeneration subsequent to in vitro oxygen-glucose deprivation insult and concurrently improves white matter and microvascular outcome in vivo after mid-line fluid percussion injury. In the current study, we evaluated the effectiveness of allogeneic endothelial cells derived from rat bone marrow on microvascular recovery and neuronal sparing after lateral fluid percussion injury. We observed reduced expression of activated caspase-3 and poly (ADP-ribose) polymerase cleavage at 72 h post-injury. Subacute injury assessments at 30 days post-injury using immunohistochemistry indicated nonsignificant effects on microvascular outcome and neuronal cell density in the hippocampus. Behavioral testing using the Morris Water Maze and rotarod demonstrated significant improvement in locomotor function, as measured by the rotarod task, but no significant differences in spatial memory ability. The data suggest that EPCs contribute to improvements in the early phase of secondary injury through inhibition of apoptosis whereas the effects on longer-term recovery were less clearly defined. There is potential in the use of EPCs to treat secondary injury post-TBI; however, optimization of their effects through increased duration or homing capacities remains to be examined.
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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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| 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".