Antihypertensive and Antioxidant Properties of <i>Moringa Oleifera</i> Seed Enzymatic Protein Hydrolysate and Ultrafiltration Fractions
Bibliographic record
Abstract
The aim of this study was to evaluate the in vitro antioxidant and antihypertensive as well as potential cardioprotective properties of peptides generated from enzymatic hydrolysis of Moringa oleifera seed. Moringa protein isolate was digested with alcalase and the hydrolysate fractionated by ultrafiltration using 1, 3, 5, and 10 kDa molecular weight cut-off membranes. Results showed that membrane separation led to decreased free radical (DPPH, hydroxyl) scavenging but enhanced ferric reducing antioxidant power and metal ion chelation properties. The 1–3 kDa peptide fraction was the most active against angiotensin converting enzyme and renin with 6.70% and 24.62% increases, respectively when compared to the hydrolysate. Oral administration (200 mg/kg body weight) to spontaneously hypertensive rats (SHR) resulted in significant decreases in systolic (SBP), diastolic and mean arterial (MAP) blood pressure for the hydrolysates and peptide fractions when compared to the negative control. The 1–3 kDa peptide fraction also showed the greatest (–35 mm Hg) in SBP along with fastest (2 h) reduction of SBP and MAP in the SHR. The hydrolysate produced the most persistent SBP reduction with up to –34 mm Hg after 24 h. However, the longer peptides (>10 kDa) were the most effective (–78 beats per min) in reducing SHR heart rate. The results suggest that the alcalase-hydrolyzed M. oleifera seed peptides could function as potential ingredients for the formulations of functional foods and nutraceuticals with antihypertensive benefits.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".