Effects of Panax notoginseng saponins on vascular endothelial cells in vitro.
Bibliographic record
Abstract
AIM: To investigate the inhibition of endothelium-dependent in vitro vascular relaxation induced by the total saponins (gensenosides) from Panax notoginseng (PNS) and the effect of PNS on the cytosolic Ca2+ concentration on cultured bovine pulmonary artery endothelial cells. METHODS: The endothelial-dependent vascular relaxation was assessed using acetylcholine (ACh) or cyclopiazonic acid (CPA) induced relaxation in endothelium-intact rat aorta. Cytosolic Ca2+ level was assessed in real time using dynamic digital fluorescence ratio imaging. RESULTS: In addition to its direct relaxation of the smooth muscle cells at high concentrations, PNS, at 100 mg/L having little effect on smooth muscle, caused a marked inhibition of endothelium-dependent relaxation brought about by PNS. This inhibitory effect was due to its inhibition of elevation of cytosolic Ca2+, which is required for the activation of NO generation and release from the vascular endothelial cells. Nifedipine has no effect on either the endothelium-dependent relaxation or the cytosolic Ca2+ level in the cultured endothelial cells. CONCLUSION: Our findings are consistent with the known action of PNS on receptor-operated Ca2+ channels and support our contention that PNS inhibits endothelium-dependent relaxation by preventing the increase of Ca2+ level in endothelial cells via the receptor-operated Ca2+ channels in the presence of ACh or the non-selective cation channels opened by CPA.
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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".