Endothelial Nitric Oxide Synthase Deficiency Reduces Uterine Blood Flow, Spiral Artery Elongation, and Placental Oxygenation in Pregnant Mice
Bibliographic record
Abstract
Preeclampsia is associated with impaired uteroplacental adaptations during pregnancy and abnormalities in the endothelial NO synthase (eNOS)-NO pathway, but whether eNOS deficiency plays a causal role is unknown. Thus, the objective of the current study was to determine the role of eNOS in the mother and/or conceptus in uteroplacental changes during pregnancy using eNOS knockout mice. We quantified uterine artery blood flow using microultrasound, visualized the uteroplacental vasculature using vascular corrosion casts, and used pimonidazole and hypoxia-inducible factor 1α immunohistochemistry as markers of hypoxia in the placentas of eNOS knockout mice versus the background strain, C57Bl/6J (wild type). We found that increases in uteroplacental blood flow, uterine artery diameter, and spiral artery length were reduced, and markers of placental hypoxia in the junctional zone were elevated in late gestation in eNOS knockout mice. Both maternal and conceptus genotypes contributed to changes in uterine artery diameter and flow. Despite placental hypoxia, placental soluble fms-like tyrosine kinase 1 and tumor necrosis factor-α mRNA, and in maternal plasma, soluble fms-like tyrosine kinase 1 were not elevated in eNOS knockout mice. Thus, our results show that both eNOS in the mother and the conceptus contribute to uteroplacental vascular changes and increased uterine arterial blood flow in normal pregnancy.
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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 | 0.001 | 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 | 0.001 |
| 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".