2‐methoxyestradiol inhibits atorvastatin‐induced rounding of human vascular smooth muscle cells
Bibliographic record
Abstract
The cardiovascular benefits of statins, including atorvastatin (ATV), have been reported to be gender-dependent, but the underlying mechanism is unclear. In this study we examine whether estrogen and its metabolite, 2-methoxyestradiol (2ME), affect the rounding response of human vascular smooth muscle cells (SMCs) induced by ATV. Twenty-four hour treatment with ATV (10-100 microM) induced rounding of cultured human SMCs. Addition of 2ME (1-20 microM), but not 17beta-estradiol, for 2 h induced re-spreading of rounded cells. Our further studies showed that the effects of 2ME were mimicked by microtubule-disrupting drugs and inhibited by taxol. Inhibition of RhoA and ROCK (Rho-kinase) by C3-toxin and H-1152, respectively, blocked 2ME effects. 2ME effects were also blocked by treatment with either actin-interfering drugs, such as cytochalasin D and jasplakinolide, or myosin inhibitor blebbistatin. ML-7 and -9, the inhibitors for myosin light chain kinase, inhibited 2ME effect as well. ATV treatment induced a decrease of F-actin content and Thr18/Ser19 dual phosphorylation of myosin regulatory light chain (MRLC), which was rescued by 2ME or mevalonate. The rescue effects of 2ME on F-actin content and MRLC dual phosphorylation were abolished by taxol or H-1152. In addition, kinesin Eg5 inhibitor monastrol and dynein inhibitor erythro-9-3-(2-hydroxynonyl) adenine (EHNA) significantly blocked 2ME effects. Finally, our results revealed that 2ME inhibited the migration of SMCs induced by ATV (0.1 microM) in wound healing assay and Boyden chamber assay. In summary, our data show that 2ME, but not estrogen, inhibits ATV-induced rounding of human SMCs through induction of microtubule disassembly and activation of the Rho-ROCK-actinomyosin pathway.
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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 | 0.000 | 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) | 0.000 | 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".