Folic acid affects cardiometabolic, oxidative stress, and immunohistochemical parameters in monocrotaline-induced rat heart failure
Bibliographic record
Abstract
Heart failure (HF) is one of the major cardiovascular causes of death worldwide. In this study, we explored the effects of folic acid (FA) on cardiometabolic, oxidative stress biomarker changes, and the activity of proliferation marker Ki67 in monocrotaline-induced HF. The research was conducted during a 4 week period using five experimental groups (eight animals per group): blank solution exposed controls (C1: 1 mL/kg physiological saline, 1 day; C2: 1 mL/kg physiological saline, 28 days), monocrotaline (MCT) induced HF (50 mg/kg MCT), FA (5 mg·kg−1·day−1 FA), and MCT+FA (50 mg/kg MCT, 5 mg·kg−1·day−1 FA). Superoxide dismutase and glutathione peroxidase activities together with total glutathione and parameters of oxidative damage of proteins were determined in cardiac tissue as well as cardiometabolic parameters in plasma or serum. The total glutathionylation was determined by Western blot and proliferation marker Ki67 was assessed by immunohistochemistry. The right ventricular (RV) wall hypertrophy and Ki67 positivity, accompanied by a significant increase of troponin T, has been shown in MCT-induced HF. The antioxidant effect of FA was reflected through superoxide dismutase activity, reduced Ki67 positivity in the RV wall, and a slightly decreased total glutathionylation level.
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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".