Blood Glutathione Peroxidase Activity in Relation with the Risk of Cardiovascular Diseases in Obese Women
Bibliographic record
Abstract
Objective: Oxidative stress plays a role in obesity-related diseases.We hypothesize that abnormalities of the glutathione system are associated with the initial phase leading to development of cardiometabolic abnormalities such as cardiovascular diseases and type 2 diabetes in apparently healthy obese women.By measuring different glutathione parameters, we expect to find a dichotomy that can discriminate between obese women who have such sub-clinical abnormalities.Subjects: This is a cross-sectional analysis in 59 postmenopausal obese women.Total blood glutathione, glutathione peroxidase (GPx) and glutathione reductase activity, blood lipids, apolipoprotein B-100 (apoB), fasting and area under the curve (AUC) for glycemia and insulinemia during an oral glucose tolerance test, insulin sensitivity measurement and indices, serum inflammatory markers and carotid intima-media thickness (CIMT, by magnetic resonance imaging) were measured.Results: Blood GPx activity had a bimodal distribution.Subjects were then divided into two groups according to their GPx activity (cut-off: 2.0 nmol/min/mg protein, P<0.01).Age and BMI were similar between the groups.Women with higher GPx activity had 13% more apoB (P=0.02),10% higher glycemia AUC (P=0.04),hepatic insulin resistance (28% and 25% higher HOMA and liver insulin resistance index values, P<0.04) and increased CIMT by 8-13% (P=0.013)without evidence of inflammation, changes in blood lipids, and fasting glycemia and insulinemia.Conclusion: Results suggest that a modification in the glutathione system is associated with insulin resistance and increased intima-media thickness, both of which are associated with cardiovascular disease risk.Blood GPx activity may be a parameter contributing in the identification of sub-clinical but clinically relevant asymptomatic cardiometabolic abnormalities in obese women.
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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 | 0.001 | 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 | 0.001 |
| 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".