Effects of statin use on total oxidant and antoxidant capacity and ceruloplasmin activity
Bibliographic record
Abstract
PURPOSE: Oxidative damage plays an important role in atherosclerosis development. Statin drugs have anti-oxidant properties, but the clinical value of their antioxidant properties remains unclear. In this study, our aims were: (1) to assess the anti-oxidant effects of statins in patients with coronary artery disease (CAD) using a newly developed valid measure of total oxidant and anti-oxidant capacity; and (2) to identify whether statins influence ceruloplamin levels. METHODS: Within a cross-sectional study, 67 dyslipidemic CAD patients on atorvastatin for at least three months were compared with 69 age- and gender-matched CAD patients not using atorvastatin. All patients were either newly-diagnosed with or already had established CAD. Patients and controls were selected from among patients who had undergone coronary angiography for a variety of reasons. Immediately prior to angiography, plasma total oxidant and antioxidant capacity and ceruloplasmin (Cp) levels were measured by means of a relatively new and highly-reliable method. RESULTS: Total oxidant capacity levels were significantly lower and total antioxidant capacity significantly higher in those on atorvastatin; serum seruloplasmin levels also were significanly increased in the atorvastatin groups (all p < 0.05). On multivariate analysis, atorvastatin use was a significant determinant of Cp increase, independent of any antioxidant effect. CONCLUSIONS: This study clearly demonstrates increased anti-oxidant capacity and decreased oxidative stress with statin use. Atorvastatin use may also increase Cp levels although this effect appears to be independent of its anti-oxidant effects.
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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 | 0.001 | 0.002 |
| 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".