Effects of vitamin B6 on cardiometabolic biomarkers, cardiac oxidative stress and enzymes activities, and cardiovascular histomorphometric parameters in hyperhomocysteinemic rats
Bibliographic record
Abstract
Hyperhomocysteinemia can induce significant alterations in the cardiovascular system, and vitamin B6 is one of the primary cofactors of enzymes involved in homocysteine metabolism. The aim of this study was to examine the effects of vitamin B6 in hyperhomocysteinemic conditions on cardiovascular biomarkers in sera, oxidative stress parameters, metabolic enzymes activities, and histological changes in rat heart and aorta. Male Wistar albino rats were divided into four groups ( n = 10, per group): C: 0.9% NaCl 0.2 mL/day s.c. + 0.9% NaCl 0.5 mL i.p; H: D, L-homocysteine 0.45 mmol/g b.w./day s.c. + 0.9% NaCl 0.5 mL i.p; CB6: 0.9% NaCl 0.2 mL/day s.c. + vitamin B6 7 mg/kg b.w. i.p.; and H-B6: D, L-homocysteine 0.45 mmol/g b.w./day s.c. + vitamin B6 7 mg/kg b.w. i.p. Substances were applied s.c. for 2 weeks and i.p for 4 weeks. Level of homocysteine, activity of superoxide dismutase, concentration of malondialdehyde, and right ventricle wall thickness were significantly lower in HB6 group compared to H group, while lactate dehydrogenase activity was higher in HB6 group compared to all other groups. These findings suggest the potential beneficial effects of vitamin B6 supplementation on cardiovascular system in patients with hyperhomocysteinemia.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 | 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".