Effects of KTJ740, a Novel Antithrombotic Agent, on Platelet-Derived Growth Factor-Induced Rat Aortic Smooth Muscle Cell Proliferation and Cell Cycle Progression
Bibliographic record
Abstract
Hyperproliferation of platelet-derived growth factor (PDGF)-BB-induced vascular smooth muscle cell (VSMC) is a hallmark of atherosclerosis and related vascular disorders. In the previous study, we reported that KTJ740 [2-chloro-3-(4-(ethylcarboxy)-phenyl)-amino-1,4-naphthoquinone], a newly synthesized vitamin K derivative, has potent antithrombotic effects in mice and antiplatelet activity in vitro and ex vivo. In the present study, we have tested that KTJ740 could inhibit PDGF-BB-stimulated VSMC proliferation. We have examined the potential inhibitory effect of this compound on rat aortic smooth muscle cells (RASMCs). Our results show that this compound significantly inhibits PDGF-BB-stimulated RASMC number and DNA synthesis in a concentration-dependent manner. Furthermore, we have examined its effect on cell cycle progression by flow cytometry. KTJ740 treatment resulted in a significant arrest in cell cycle progression of RASMCs induced by PDGF-BB, and this effect was achieved by suppressing activation of PDGF-beta receptor (PDGF-Rbeta) tyrosine kinase pathway. These results suggest that a possibility of KTJ740 can be a potential agent to control vascular disorders and its antiproliferative mechanism may be mediated through PDGF-Rbeta tyrosine kinase-dependent signaling pathway.
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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".