Modulation of vascular function by perivascular adipose tissue: the role of endothelium and hydrogen peroxide
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND AND PURPOSE: Perivascular adipose tissue (PVAT) attenuates vascular contraction, but the mechanisms remain largely unknown. The possible involvement of endothelium (E) and hydrogen peroxide (H2O2) was investigated. EXPERIMENTAL APPROACH: Aortic rings from Wistar rats were prepared with both PVAT and E intact (PVAT+ E+), with either PVAT or E removed (PVAT- E+, or PVAT+ E-), or with both removed (PVAT- E-) for functional studies. Nitric oxide (NO) production was measured. KEY RESULTS: Contraction to phenylephrine and 5-HT respectively was highest in PVAT- E-, lowest in PVAT+ E+, and intermediate in PVAT+ E- or PVAT- E+. In bioassay experiments, transferring bathing solution incubated with a PVAT+ ring (donor) to a PVAT- ring (recipient) induced relaxation in the recipient. This relaxation was abolished by E removal, NO synthase inhibition, scavenging of NO, high extracellular K+, or blockade of calcium-dependent K+ channels (K(Ca)). The solution stimulated NO production in isolated endothelial cells and in PVAT- E+ rings. In E- rings, the contraction to phenylephrine of PVAT+ rings but not PVAT- rings was enhanced by catalase or soluble guanylyl cyclase (sGC) inhibitor, but reduced by superoxide dismutase and tiron. In PVAT- E- rings, H2O2 attenuated phenylephrine-induced contraction. This effect was counteracted by sGC inhibition. NO donor and H2O2 exhibited additive inhibition of the contraction to phenylephrine in PVAT- E- rings. CONCLUSION: PVAT exerts its anti-contractile effects through two distinct mechanisms: (1) by releasing a transferable relaxing factor which induces endothelium-dependent relaxation through NO release and subsequent K(Ca) channel activation, and (2) by an endothelium-independent mechanism involving H2O2 and subsequent activation of sGC.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it