Elevation in Total Homocysteine Levels in Chinese Patients With Essential Hypertension Treated With Antihypertensive Benazepril
Bibliographic record
Abstract
OBJECTIVE: To investigate the effect of benazepril on plasma homocysteine (Hcy) levels and to analyze the correlation between the methylenetetrahydrofolate reductase (MTHFR) C677T polymorphism and changes in Hcy levels in response to benazepril. METHODS: A total of 231 patients with mild to moderate essential hypertension were enrolled, and benazepril was orally administered at a dose of 10 mg/d for 2 weeks. Plasma Hcy levels were measured by high-performance liquid chromatography at baseline and after 2 weeks of treatment. Genotyping of the MTHFR C677T polymorphism was performed by TaqMan probe technique. RESULTS: There was no significant change in Hcy level after benazepril treatment for 2 weeks (P = .97). However, stratified by baseline Hcy levels, the patients with baseline Hcy <10 μmol/L had a significant increase in plasma Hcy levels (P = .003). The results from the multivariable linear regression analysis demonstrated a significant correlation between baseline Hcy levels and the changes in Hcy levels found in both the unadjusted (P = .002) and the adjusted model (P = .004). Strikingly, we found no significant effect modification by the MTHFR C677T polymorphism on the Hcy changes after benazepril treatment. There were also no statistically significant interactions of gene and environment factors (ie, gene smoking and drinking) on the changes in Hcy levels after benazepril treatment. CONCLUSION: Benazepril may cause an increase in plasma Hcy levels among patients with hypertension with low baseline Hcy levels, while effect modification by MTHFR C677T genotypes on the changes in Hcy levels in response to benazepril was not significant among patients with essential hypertension.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| 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) | 0.000 | 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 teacher head, 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".