Effects of adrenomedullin on the cell numbers and apoptosis of endothelial progenitor cells
Bibliographic record
Abstract
PURPOSE: To investigate the effect of adrenomedullin on the cell numbers and apoptosis of endothelial progenitor cells (EPCs). METHODS: Mononuclear cells were isolated from peripheral blood by Ficoll density gradient centrifugation. The cells were stimulated with adrenomedullin, before and after the treatment of adrenomedullin-receptor antagonist, adrenomedullin 22-52, or a PI3K inhibitor LY294002. RESULTS: Adrenomedullin dose-dependently increased the number of EPCs (P < 0.05). Adrenomedullin also significantly decreased apoptosis rate of EPCs in a concentration-dependent manner (P < 0.05). In the isolated human mononuclear cells pretreated with adrenomedullin 22-52 or LY294002, adrenomedullin failed to increase the number of EPCs or to reduce the level of apoptosis. CONCLUSIONS: Adrenomedullin increases the number of EPCs and decreases their apoptosis. These actions are likely mediated by PI3K signaling pathways. The clinical importance of these favourable effects on EPCs remains to be determined.
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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".