Effect of simvastatin on plasma homocysteine levels and its modification by MTHFR C677T polymorphism in Chinese patients with primary hyperlipidemia
Bibliographic record
Abstract
Objective We investigate the effect of simvastatin on plasma homocysteine (Hcy) levels and whether genetic factor affects the effect of simvastatin. Methods A total of 338 patients with hyperlipidemia were enrolled. Simvastatin was orally administered at a dose of 20 mg/day for 8 weeks. Plasma Hcy levels were measured by high-performance liquid chromatography at baseline and after 8 weeks of treatment. Genotyping of methylenetetrahydrofolate reductase (MTHFR) C677T polymorphism was performed by TaqMan probe technique. Results Serum total Hcy levels were positively correlated with serum creatinine (r = 0.332, P < 0.001). Among total subjects, simvastatin treatment resulted in a significant reduction in serum Hcy levels after 8 weeks (−0.37 ± 2.21 μmol/L, P = 0.003), and this effect was dependent on the initial levels of serum Hcy. The individuals with 677TT genotype had a significantly higher baseline Hcy level and a greater change in Hcy levels. After stratification by body mass index (BMI), we observed a significant increase in Hcy levels among the TT genotype group in adjusted model (beta±SE: 2.64 ± 0.84 μmol/L; P = 0.002) among patients with BMI ≥ 25 (kg/m2). Conclusions Simvastatin can cause a marked decrease in plasma Hcy levels. MTHFR C677T genetic variant contributes to simvastatin's effects among Chinese subjects with primary hyperlipidemia.
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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) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| 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".