Abstract 273: Levels Of Vcam-1 Are Associated With Flow-mediated Dilation In Healthy African American Adults
Bibliographic record
Abstract
Background: Vascular cell adhesion molecule-1 (VCAM-1) mediates the adhesion of monocytes to vascular endothelium, which play a role in the development of endothelial dysfunction and atherosclerosis. Flow-mediation dilation (FMD) is an endothelium-dependent response, which is mediated by nitric oxide and closely related to endothelial function. The purpose of the study was to test whether levels of VCAM-1 were associated the endothelial-dependent (FMD) in normotensive African Americans. Normotensives were studied in order to eliminate the influence of hypertension. Methods and Results: Blood was collected in 22 subjects aged 41-62 yrs with normal blood pressure (125.0 ± 9.1 mmHg) after 12 hr fast. Plasma was obtained by centrifugation within 15 min after collection in 4 degree. A commercially available solid phase sandwich enzyme linked immuno-sorbent assay kit was used to detect VCAM-1 levels in plasma. FMD was measured after 5-min cuff occlusion using Doppler ultrasound. The maximum FMD diameters were calculated. In the entire study population, levels of VCAM-1 (556.92 ± 154.20 ng/mL) were negatively correlated with the true peak FMD (FMD: 7.81 ± 2.22 %, r=-0.484, P=0.023). Conclusion: Levels of VCAM-1 were associated with endothelial responsiveness in healthy African Americans with normal blood pressure. These results suggest that the level of VCAM-1 may be a predictive of endothelial dysfunction in the unique healthy populations.
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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 | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".