Effects of simvastatin and pravastatin on peroxidation of erythrocyte plasma membrane lipids in patients with type 2 hypercholesterolemia
Bibliographic record
Abstract
Since hypercholesterolemia directly modifies the composition of erythrocytes plasma membrane, the influence of statins on erythrocytes has been researched. The beneficial effects of statins on clinical events may involve mechanisms that modify endothelial dysfunction, plaque stability, thrombus formation and inflammatory responses. The aim of the study was to evaluate the hypolipemic efficacy and effects of pravastatin and simvastatin on erythrocyte membrane fluidity and damage of erythrocytes in patients with type 2 hypercholesterolemia in comparison with a control group of healthy subjects. The study involved 53 patients affected by type 2 hypercholesterolemia (mean age, 53.3 +/- 10.3) with initial total serum cholesterol (TC) levels > 250 mg/dL, LDL-cholesterol (LDL-C) levels > 170 mg/dL, and triglycerides (TG) levels < 400 mg/dL. The control group consisted of 30 healthy individuals (mean age 56.9 +/- 6.3). Statins were given for 12 weeks. The dosages for oral administration of simvastatin and pravastatin were 20 mg/day. Laboratory tests were carried out before and after 4 and 12 weeks of the pharmacological treatment. The damage to plasma membrane of erythrocytes was measured on the basis of lipid peroxidation. The fluidity of plasma membrane of erythrocytes was determined by electron paramagnetic resonance (EPR) spectroscopy, using two spin labels: 5-DSA and 16-DSA. The cholesterol level in the membrane of red blood cells was estimated. Simvastatin and pravastatin reduced the total cholesterol concentration and LDL-cholesterol in plasma, as well as the cholesterol concentration in erythrocytes membranes. Hypercholesterolemia induced changes in the basic properties of human erythrocyte plasma membrane, including its fluidity and the intensity of lipid peroxidation. These results indicate that the simvastatin and pravastatin therapy reverses the alteration in the erythrocyte plasma membrane properties.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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".