Short-term passive smoking causes endothelial dysfunction via oxidative stress in nonsmokers
Bibliographic record
Abstract
Recent studies have shown that passive smoking impairs vascular endothelial function and induces oxidative stress in humans. However, in most of the previous human data regarding tobacco-induced pathophysiology, vascular endothelial dysfunction and oxidative stress have been separately assessed. This study was designed to determine the association between the acute effect of passive smoking on vascular endothelial function and in-vivo oxidative stress status. We studied 30 healthy male Japanese volunteers (32 +/- 7 years) including 15 habitual smokers and 15 nonsmokers. After baseline echocardiographic, hemodynamic recording, and blood sampling, subjects were exposed to passive smoking for 30 min. Endothelium-dependent vasodilation was measured by using % flow-mediated vasodilation (%FMD) of the brachial artery and plasma levels of 8-isoprostane was measured by enzyme immunoassay before and after the passive smoking exposure. Baseline %FMD was lower (4.3% +/- 1.2% vs. 10.9% +/- 3.1%, p < 0.001) and baseline plasma 8-isoprostane level was higher (41.5 +/- 5.8 pg/mL vs. 26.9 +/- 5.4 pg/mL, p < 0.001) in smokers than those in nonsmokers. The %FMD and 8-isoprostane level did not change after passive smoking in smokers. In nonsmokers, however, the %FMD decreased (to 5.0% +/- 1.9%, p < 0.001) and the 8-isoprostane level increased (to 37.8 +/- 9.6 pg/mL, p < 0.001) significantly after 30 min passive smoking exposure, equivalently to the levels of smokers. Sixty corrected samples before and after passive smoking exposure in all patients showed a significant negative correlation between the % FMD and the plasma 8-isoprostane levels (n = 60, r = -0.69, p < 0.001). Even 30 min of passive smoking rapidly impairs vascular endothelial function, which is associated with oxidative stress. Our data provide the pathophysiological insight for the recent epidemiological evidence about the increased risk of coronary heart disease among nonsmokers exposed to passive smoking.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".