Endothelial-dependent vasodilation is reduced in mesenteric arteries from superoxide dismutase knockout mice
Bibliographic record
Abstract
OBJECTIVE: Oxidative stress has increasingly been implicated in the development and progression of many vascular diseases. Previous work from our laboratory indicated that peroxynitrite alters vasoactive pathways in endothelial cells, which could potentially reduce vascular relaxation. To test this hypothesis in vivo, we utilized an animal model of endogenous oxidative stress, the CuZn superoxide dismutase (SOD) knockout mouse, to assess vascular function. METHODS: Vascular reactivity of mouse mesenteric arteries was assessed in the presence or absence of inhibitors to nitric oxide synthase (NOS) and/or prostaglandin H synthase (PGHS). Endothelial-dependent function was also measured after the addition of exogenous SOD. Peroxynitrite formation was detected by nitrotyrosine immunofluorescence in mesenteric arteries. RESULTS: Our data indicate that endothelial-dependent relaxation responses to methacholine are highly reduced in SOD-/- mice (P<0.01, ANOVA). In only the wild-type mice, NOS or PGHS inhibition significantly blunted relaxation, suggesting that vasodilators from these pathways are present only in the controls and not in SOD-/- mice. A combination of NOS and PGHS inhibitors reduced methacholine relaxation in both wild type and SOD-/- mice. This residual EDHF-like relaxation was not different between groups. After incubation with exogenous SOD, endothelial-dependent relaxation could be partially restored in SOD-/- mice, due to increased NOS-mediated vasodilation. In addition, peroxynitrite formation was significantly elevated in mesenteric arteries from SOD-/- mice. CONCLUSION: Our data suggest that in a novel animal model of oxidative stress, vessel function is compromised due to alterations in NOS and PGHS-dependent relaxation responses.
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".