Cardio- and neuroprotective effects by pretreatment of dietary moringin from <i>Moringa oleifera</i> seeds and α-CD/moringin formulation in a rat model of isoproterenol-induced myocardial infarction
Bibliographic record
Abstract
seed, in a rat model of isoproterenol (ISP) induced myocardial infarction (MI). Thirty-two adult male Sprague Dawley rats were divided into 4 groups: a control group, an MI group, a group pretreated with freshly prepared MG solution (MG + MI; glucomoringin 20 mg/kg + 30 µl myrosinase/rat), and a group pretreated with a stable α-cyclodextrin-based formulation of MG (α-CD/MG + MI, 42 mg/kg). Pretreatment was administered daily for 7 days. On days 6 and 7, rats received ISP (85 mg/kg, subcutaneously) at 24-hour interval. MI rats exhibited impaired hemodynamic and behavioural responses, marked elevation of malondialdehyde (MDA), and reduced activity of the antioxidant enzymes superoxide dismutase (SOD) and catalase (CAT) in both myocardial and hippocampus tissues. MI rats also demonstrated a significant rise in serum cardiac biomarkers, including cardiac troponin I (cTnI) and creatine kinase myocardial band (CK-MB). In contrast, pretreatment with MG and α-CD/MG significantly improved locomotor and exploration behaviour, reduced heart rate (HR), and enhanced mean arterial pressure (MAP). Furthermore, both treatments lowered serum cardiac markers, restored redox balance, normalised brain monoamines levels, and improved the histoarchitecture of myocardial and hippocampus tissues. These findings suggested that MG and α-CD/MG exert cardioprotective and neuroprotective effects by attenuating oxidative stress in a rat model of ISP-induced MI. Overall, intake of MG and α-CD/MG may represent a potentially effective pretreatment strategy for mitigating the systemic perturbations associated with myocardial infarction.
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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) | 0.000 | 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".