Activated NO pathway in uterine arteries during pregnancy in an IUGR rat model
Bibliographic record
Abstract
diet. This diet reduces maternal blood volume expansion and uteroplacental perfusion. We hypothesized that an impaired endothelial function in radial arteries decreases vasorelaxation and lowers placental perfusion in this IUGR model. The objective was to assess radial uterine artery responses to vasoactive agents in the IUGR model versus controls. The vasoactive agents included phenylephrine and carbachol, use of a pressurized artery myograph, in the absence or presence of inhibitors of nitric oxide (NO) synthase [ N-nitro-l-arginine methyl ester (l-NAME)], cyclooxygenase (Ibuprofen), and endothelium-dependent hyperpolarization {apamin/1-[(2-chlorophenyl)diphenylmethyl]-1H-pyrazole}, allowing better characterization of the mechanism implicated in endothelium-dependent relaxation. The results show that 1) the diameter of uterine radial arteries was significantly decreased in the IUGR group; 2) sensitivity to phenylephrine was reduced in IUGR arteries, which could be returned to control group values by inhibition of NO production; 3) the relaxation response to carbachol was increased in IUGR rats, principally mediated by endothelium-dependent hyperpolarization in both groups; 4) NO synthase inhibition by l-NAME decreased the maximum relaxation to carbachol only in the IUGR group; and 5) relaxation response to NO donors is increased in IUGR compared with control radial arteries. Contrary to the hypothesis, results in the IUGR model indicate that the NO pathway is activated in radial uterine arteries, most likely in compensation for the reduction in blood uteroplacental perfusion. NEW & NOTEWORTHY In contrast to genetic or surgical models of intrauterine growth restriction, the diet-induced model of reduced maternal volume expansion shows the nitric oxide pathway to be activated in the uterine artery, possibly from increased shear stress and/or placental factors.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| 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".