Role of Reactive Oxygen Species in Hypertension Produced by Reduced Uterine Perfusion in Pregnant Rats
Bibliographic record
Abstract
BACKGROUND: Although recent studies indicate preeclampsia (PE) is associated with increased oxidative stress, the role of reactive oxygen species in the hypertension associated with PE remains unclear. We sought to test the hypothesis that placental ischemia increases oxidative stress which in turn, contributes to hypertension. METHODS: Reduction in uterine perfusion pressure (RUPP) was induced by placing silver clips on the abdominal aorta and the ovarian arteries on day 14 of pregnancy. On day 20 of pregnancy, mean arterial pressure (MAP) was measured and oxidative stress was assessed in renal and placental tissues whereas systemic administration of tempol, a superoxide dismutase (SOD) mimetic, was used to evaluate the contribution of reactive oxygen species on RUPP-induced hypertension. RESULTS: MAP (120 +/- 2 mm Hg vs.106 +/- 3 mm Hg), placental levels of 8-isoprostane (1.9 +/- 0.4 ng/g tissue vs. 0.8 +/- 0.1 ng/g tissue), and malondialdehyde (MDA) (6.9 +/- 0.6 micromol/g tissue vs. 3.9 +/- 0.4 micromol/g tissue) were increased, whereas renal cortical SOD activity was decreased in RUPP rats (1.2 +/- 0.1 units/mg protein vs. 1.6 +/- 0.1 units/mg protein) at day 20 of gestation (20 dG) compared to controls. Chronic treatment with tempol attenuated the hypertension (RUPP + tempol 112 +/- 2 mm Hg vs. RUPP, 120 +/- 2 mm Hg) associated with RUPP, whereas tempol had no effect on MAP (NP, 106 +/- 3 vs. NP + tempol, 108 +/- 2) in control rats. CONCLUSION: The results of this study indicate that placental ischemia decreases innate antioxidant activity resulting in elevated oxidative stress which appears to play a role in mediating hypertension associated with chronic RUPP in pregnant rats.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 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 | 0.000 | 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".