Circulating Levels of Oxidative Stress Markers and Endothelial Adhesion Molecules in Men with Abdominal Obesity
Bibliographic record
Abstract
CONTEXT: It has been suggested that oxidative stress and endothelial dysfunction could play a role in the higher cardiovascular disease risk noted in the abdominally obese population. OBJECTIVE: The objective of this study was to describe the associations between abdominal fat accumulation, oxidative stress, and endothelial dysfunction in men. DESIGN: A complete physical and metabolic profile was assessed in a group of 56 men covering a wide range of adiposity and plasma oxidized low-density lipoprotein (OxLDL), and soluble intercellular adhesion molecule-1, soluble vascular cell adhesion molecule-1, E-selectin, and C-reactive protein concentrations were determined. RESULTS: We found that abdominal visceral adipose tissue was positively associated with plasma OxLDL (r = 0.52; P < 0.0001) and C-reactive protein (r = 0.60; P < 0.0001) concentrations. We also found significant associations between plasma E-selectin levels and hyperinsulinemia (r = 0.39; P < 0.005) as well as with the homeostasis model assessment index of insulin resistance (r = 0.42; P < 0.005). CONCLUSIONS: Our study showed that plasma OxLDL levels and low-grade systemic inflammation are increased in men with a high visceral adipose tissue accumulation. Furthermore, our results support the notion that insulin resistance is associated with endothelial activation. Overall, our observations give us further insights on the increased cardiovascular disease risk frequently noted among viscerally obese, insulin-resistant individuals.
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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) | 0.001 | 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".