Protective effect of sphingosine 1‐phosphate (S1P) in the cerebral microvasculature
Bibliographic record
Abstract
Introduction: Sphingosine 1‐phosphate (S1P), an endogenous phospholipid, is involved in pre‐conditioning responses in the heart. The present study evaluated whether exogenous S1P could have a similar protective role in the cerebral microvasculature following hypoxic insult. Methods: Human brain microvessel endothelial cells (HBMECs) were exposed to oxygen‐glucose deprivation (OGD) for 0–6 hours. Cell viability was assessed using MTT assay immediately after OGD or following a 24‐hr re‐oxygenation period. The effects of S1P on OGD‐mediated cell toxicity was determined by pre‐treating the cells with various concentrations of S1P (0–10 μM) for 0, 1, or 24 hours. Results: Exposure of HBMECs to OGD resulted in a significant decrease (approximately 20%) in cell viability when assessed immediately after OGD. Pre‐treating HBMEC cells with S1P for 1 hr prior to OGD provided a dose dependent protection, with 1.0 and 10 μM S1P completely reversing the loss in cell viability associated with OGD at all time points examined. However, the protective effects of S1P were not apparent in the 24‐hour pre‐treatment protocol. Conclusion: Activation of S1P receptors within the brain microvasculature prior to hypoxic events may help prevent toxicity to the cerebral microvasculature. Funding support provided by Canadian Institutes of Health Research and Manitoba Health Research Council.
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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) | 0.000 | 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) | 0.001 | 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".