Proanthocyanidins Promote Endothelial Cell Viability and Angiogenesis
Bibliographic record
Abstract
ABSTRACT: Botanic drugs are reportedly effective in treating ischemic conditions by improving vascular circulation. However, it has been very rare for biomaterial researchers to look into the possibility of using such products in the context of tissue regeneration. This work studied 4 botanic drugs to explore their effects on vascular endothelial cell growth. Human umbilical endothelial cells were cultured in the presence of different doses of astragalus powder extract, astragalus injection, puerarin injection, and proanthocyanidin (PAC). Among the 4 drugs, PAC showed a potent effect on cell viability and stimulated cell growth in a dose-dependent manner. In particular, the PAC under test was able to maintain a high level of cell viability/proliferation comparable with the cells supplemented with the endothelial cell growth medium, at both low and normal serum conditions. Blocking either endothelial cell growth factor receptors or epithelial cell growth factor receptors was ineffective in reducing the stimulatory effect. The PAC released from polyvinyl alcohol cryogels stimulated HUVECs proliferation. The chick embryo chorioallantoic membrane model was further used to test the angiogenicity of PAC, showing that this botanic drug was potent in stimulating vasculature development. This work therefore demonstrates for the first time that PAC is capable of upregulating endothelial cell activity and growth in vitro in the absence of growth factors and that PAC can be loaded and released from drug carriers and can stimulate angiogenesis. These findings suggest the application of PAC in angiogenesis and tissue regeneration.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| 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) | 0.000 | 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 teacher head, 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".