Small arteries of gestational rats are less sensitive to relaxation induced by inhibition of rho A‐associated kinase (ROK).
Bibliographic record
Abstract
Inhibition of ROK has been proposed as a method to arrest uterine contractions during preterm labor. Because of concern about vascular side effects, we studied the effects of the ROK inhibitor g‐H1152 (g‐H) on relaxation of mesenteric and uterine arteries. Arteries from non‐pregnant (n=5) and pregnant (gestation day17–21; n=6) rats were studied using wire myography. Concentration response curves (CRC) to calculate IC 50 for g‐H were obtained following phenylephrine (PE) or endothelin‐1 (ET‐1) induced constriction. Using vessels from pregnant rats, CRC for PE were performed before and after a 20‐min incubation with g‐H at 300 nM, 1 and 3 μM. Mesenteric arteries were more sensitive than uterine arteries to g‐H‐induced relaxation in both non‐pregnant and pregnant rats. Both arteries were significantly less sensitive to g‐H‐induced relaxation during pregnancy. Sensitivity to PE was not changed with any dose of g‐H. However, using 2‐factor ANOVA, the maximal PE‐induced tension was significantly reduced by the two highest concentrations of g‐H in both vessels from pregnant rats but to a greater extent in mesenteric vessels (34±5.6%, 18±4.1%) compared to uterine (14±4%, 7±2.7%). The ROK pathway plays a significant role in agonist‐induced constriction of mesenteric and uterine vessels, though less so during gestation. If ROK inhibitors are used during pregnancy in vivo, maternal blood pressure and uterine blood flow will be assessed.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".