Short-term lifestyle modification alters circulating biomarkers of endothelial health in sedentary, overweight adults
Bibliographic record
Abstract
Obesity and inactivity are associated with endothelial dysfunction that may contribute to the development of atherosclerosis. We examined the effects of a short-term lifestyle intervention on circulating biomarkers of endothelial health. Nineteen overweight or obese (mean body mass index (BMI): 28.9 +/- 0.7 kg/m2) men and women underwent 6 weeks of body mass reduction induced by moderate energy restriction (approximately 750 kcal/d; 1 kcal = 4.184 kJ) and aerobic training (approximately 400 kcal/d). Fasting serum samples were collected at baseline and after reduction in body mass (week 6) to assess concentrations of nitrotyrosine (NT), secretory phospholipase A2 (sPLA2), and soluble intracellular adhesion molecule-1 (sICAM-1). Body mass was significantly reduced from 81.3 +/- 2.8 to 77.3 +/- 2.6 kg (p < 0.05). Circulating concentrations of NT and sICAM-1 were significantly reduced with treatment (approximately 25% and approximately 10%, respectively), whereas sPLA2 levels were significantly elevated (approximately 45%). Elevations in sPLA2 were negatively correlated with changes in NT (r = -0.58, p = 0.047); reductions in NT did not correlate significantly with reductions in sICAM-1. It appears that circulating markers of endothelial health are susceptible to short-term exercise interventions with modest reduction in body mass, and such a lifestyle modification may improve endothelial health by reducing protein nitration products and cellular adhesion.
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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) | 0.000 | 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".