Abstract 15878: Pulse Pressure and Intraluminal Mean Pressure Regulate Endothelium-Dependent Flow-Mediated Dilation in Cerebral Arteries of Dyslipidemic Mice
Bibliographic record
Abstract
Introduction: In vivo, resting arterial blood pressure in cerebral arteries is pulsatile; however, whether pulse pressure (PP) regulates endothelial shear stress (SS) sensitivity is unknown. The aim of this study was to design a computer-controlled pneumatic system mounted in series with a small vessel pressure myograph generating a PP to test its impact on endothelium-dependent flow-mediated dilatation (FMD) in cerebral arteries from C57Bl/6J (WT) mice and dyslipidemic (LDLR-/-;hApoB+/+, ATX) 3-mo mice. Methods: Isolated posterior cerebral arteries (n=10 per group) were pressurized at a mean physiological (60 mm Hg) or high (80 mm Hg) pressure either in static (SP) or PP condition of ±15 mm Hg, at a rate of 550 pulses per minute mimicking resting heart rate in conscious mice. Varying SS (2 to 20 dyn/cm2) was applied to pre-constricted vessels and endothelial sensitivity was assessed by measuring FMD (% of max diameter). Results: In arteries isolated from WT mice, FMD was similar in SP and PP conditions for SS up to 15 dyn/cm2. However, starting at 20 dyn/cm2, PP increased FMD (Table). In contrast, at a pressure of 80 mm Hg, FMD (20 dyn/cm2) were reduced, however more in PP than in SP condition. In both SP and PP conditions, cerebral arteries did not dilate (p Conclusion: Endothelial SS sensitivity is sensitive to the intraluminal pressure and is regulated by PP, even in the presence of a dysfunctional endothelium.
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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 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".