Activation of Vasculogenic Progenitor Cells by ent-16.ALPHA.,17-Dihydroxy-kauran-19-oic Acid
Bibliographic record
Abstract
Vasculogenic progenitor cells (VPCs) circulate in the blood and have the ability to differentiate into endothelial cells that make up the lining of blood vessels. Therefore, VPC transplantation is a new strategy for the treatment of ischemic diseases. Because priming/preconditioning of VPCs before transplantation enhances their regenerative potential, the present study investigated whether ent-16α,17-dihydroxy-kauran-19-oic acid (DHK) isolated from Siegesbeckia pubescens could stimulate/activate VPCs in vitro. Therefore, the effect of DHK (1-100 µM concentration) on the proliferation, migration, and tube forming of VPCs was examined in various systems, and related signaling pathways were identified. DHK treatment significantly increased the proliferation, migration, and tube formation of VPCs in a dose-dependent manner. Phosphorylation of extracellular signal-regulated kinase (ERK)1/2 and Akt was significantly increased by DHK, but chemical inhibitors against ERK1/2 (U0126) and Akt (LY294002) significantly attenuated DHK-enhanced proliferation, migration, and tube formation of VPCs. Collectively, these results indicated that DHK shows promise as a novel VPC primer/activator.
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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".