Post‐Partum Endothelial Dysfunction in the <b>Reduced Uteroplacental Perfusion Pressure (RUPP)</b> <b>Model</b>
Bibliographic record
Abstract
Introduction Preeclampsia is a common disorder of pregnancy causing increased maternal morbidity/mortality and, importantly, a greater risk for cardiovascular disease later in life. An under-perfused placenta may release factors which cause increased systemic vascular resistance and endothelial dysfunction. We hypothesize that changes in vascular function persist post-partum and contribute to increased cardiovascular risk following preeclampsia. Methods: Vascular function was assessed in a rat model of preeclampsia (created by placing clips on the abdominal aorta and uterine arteries on gestational day 14, RUPP) or sham rats at 3 months post-partum. Mesenteric arteries and thoracic aorta were studied using wire myography. Phenylephrine (PE)-induced vasoconstriction and methylcholine (MCh)-induced vasodilation were assessed with or without the nitric oxide (NO) synthase inhibitor, L-NAME. Responses to big endothelin-1 (bET) in mesenteric arteries and the effect of oxLDL on vasodilation in aorta were assessed. Results: Aortic vascular function was unaltered in post-partum RUPP animals; although there was a tendency to an oxLDL-induced decrease in vasodilation (p=0.068). In mesenteric arteries vasoconstriction to PE or bET was unaltered while vasodilation to MCh was reduced (pEC50: sham 7.70±0.11 vs. RUPP 7.28±0.09, p<0.05). This reduced endothelial function was not due to decreased involvement of NO. Discussion Our data suggest that while constrictor function is recovered following a preeclamptic pregnancy, endothelial function is persistently affected even 3 months post-partum. This may reflect a causative factor in the increased cardiovascular risk in women who have had preeclampsia.
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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 | 0.001 |
| 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 | 0.001 | 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".