Association of circulating Notch1 and VEGF with flow-mediated dilation and aerobic fitness in healthy adults
Bibliographic record
Abstract
Abstract Notch1 is a mechanosensitive endothelial receptor that responds to vascular wall shear stress. However, data on Notch1 activity in humans remains limited, particularly regarding its role in endothelial function. Objectives Accordingly, the purpose of this study was to determine whether Notch1 is associated with the flow-mediated dilatory (FMD) response and whether it is related to aerobic fitness. A secondary purpose was to determine whether Notch1 is related to concentrations of vascular endothelial growth factor (VEGF). Methods Sixteen (8M/8F) young (20–30 yrs old) and healthy (BMI: 25 ± 4.2 kg/m 2 , blood pressure: 117 ± 11.63/69 ± 11.25 mmHg) adults participated in the study. Aerobic fitness was determined by cycle V̇O 2 peak. An FMD was performed on the brachial artery, and blood samples were taken from an antecubital vein at rest (baseline) and 1 min after cuff deflation (to align with peak vessel dilation). Concentrations of Notch1 extracellular domain (NECD) and VEGF were determined from plasma using enzyme-linked immunosorbent assays. Results In contrast to our hypothesis, concentrations of NECD and VEGF did not change throughout the FMD and were unrelated to allometrically scaled FMD values (p all>0.05). Likewise, there was no relationship between changes in NECD and VEGF (p=0.331, r=0.127). However, the change in NECD across the FMD was moderately (r=0.515) and significantly (p=0.024) correlated with V̇O 2 peak. Conclusions These novel data indicate that in healthy young adults, Notch1 activity is linked to aerobic fitness but may not be acutely involved in the shear-mediated vasodilatory response.
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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 | 0.001 |
| 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 | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".