Effect of Cardiorespiratory Fitness on Vascular Regulation and Oxidative Stress in Postmenopausal Women
Bibliographic record
Abstract
Increasing evidence exists suggesting an important role for oxidative stress in the pathogenesis and progression of hypertension in women via a decrease of NO production after menopause. Regular physical training has been shown to upregulate antioxidant enzymatic systems, which may slow down the usual increase of oxidative stress in postmenopausal women. The aims of this study were to determine the impact of fitness status on enzymatic antioxidant efficiency, oxidative stress, and NO production and to determine the associations among oxidative stress, enzymatic antioxidant and NO production, mean arterial blood pressure (MABP), and cerebrovascular conductance (CVC) in postmenopausal women (n=40; 50 to 90 years old). Physical fitness, physical activity, resting MABP, and CVC were measured. End product of NO, lipid peroxidation (malondialdehyde and 8-iso-prostaglandin F2alpha), DNA oxidation (8-hydroxy-2'-deoxyguanosine), protein nitration (nitrotyrosine), antioxidant glutathione peroxidase, and catalase activities were measured in plasma. We identified significant negative associations between oxidative stress and indices of physical fitness (malondialdehyde: r=-0.33, P<0.05; 8-iso-prostaglandin F2alpha: r=-0.39, P<0.05; 8-hydroxy-2'-deoxyguanosine: r=-0.35, P<0.05) and physical activity (malondialdehyde: r=-0.30, P<0.05; 8-iso-prostaglandin F2alpha: r=-0.41, P<0.01; 8-hydroxy-2'-deoxyguanosine: r=-0.39, P<0.05). Conversely, glutathione peroxidase was positively correlated with fitness level (r=0.55; P<0.01). Finally, MABP and CVC were significantly associated with 8-hydroxy-2'-deoxyguanosine (MABP: r=0.36, P<0.05; CVC: r=-0.36, P<0.05), nitrotyrosine (MABP: r=0.39, P<0.05; CVC: r=-0.32, P<0.05), and the end product of NO (MABP: r=-0.57, P<0.01; CVC: r=0.44, P<0.01). These findings demonstrate that, after menopause, fitness level and regular physical activity mediate against oxidative stress by maintaining antioxidant enzyme efficiency. Furthermore, these results suggest that oxidative stress and NO production modulate MABP and CVC.
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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".