Chunghyuldan activates NOS mRNA expression and suppresses VCAM-1 mRNA expression in human endothelial cells
Bibliographic record
Abstract
Chunghyuldan (CHD), a combinatorial drug that has antihyperlipidemic and anti-inflammatory activities, has been shown to improve arterial stiffness and inhibit stroke recurrence in clinical study. To understand the molecular basis of CHD's clinical effects, we explored its effect on cell proliferation and expression of nitric oxide synthase (NOS) and vascular cell adhesion molecule (VCAM-1) in human umbilical vein endothelial cells (HUVECs). Cell number counting and [3H]thymidine incorporation assay demonstrated that nontoxic doses of CHD have an inhibitory effect on DNA synthesis and suppress cell cycle progression of HUVECs. CHD treatment led to a marked induction of NO production through up-regulation of NOS mRNA expression in a dose- and time-dependent manner, whereas it suppressed VCAM-1 expression. CHD inhibition of VCAM-1 expression was totally blocked by pretreatment with the NO synthesis inhibitor L-NMMA, whereas pretreatment with the NO donor DETA-NO further decreased VCAM-1 level in CHD-treated HUVECs, indicating that VCAM-1 regulation by CHD is mediated through increased NO synthesis by CHD. In addition, TNF-alpha-mediated VCAM-1 activation was substantially impeded by CHD treatment. Collectively, our data suggest that anti-inflammatory or anti-hyperlipidemic effects of CHD might be associated with its ability to activate NO production and suppress VCAM-1 expression in human endothelial cells.
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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".