Technology for the Production and Utilization of Food Protein-Derived Antihypertensive Peptides: A Review
Why this work is in the frame
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Bibliographic record
Abstract
Angiotensin converting enzyme (ACE)-inhibitory drugs have been used as therapeutic tools in the clinical management of hypertension and associated cardiovascular disorders. Food-derived ACE-inhibitory peptides have lower potency than similar acting drugs but the peptides usually have no adverse side effects and there is virtually no risk of overdosing that is associated with drugs. This review summarizes several patents that have reported the development of technologies for the production of potent food protein-derived hydrolysates and peptides, which can be used to formulate antihypertensive functional foods and nutraceuticals. A common process to all the patents is the use of proteases to split large inactive proteins into smaller bioactive peptides. Ultrafiltration may be combined with liquid chromatography methods to separate the peptides according to size alone or a combination of size and charge density, respectively. Efficacy of the protein hydrolysates or peptide fractions is evaluated first in an in vitro system and may then be confirmed by measuring their hypotensive ability in an appropriate animal model such as the spontaneously hypertensive rats. Finally, protein hydrolysates or peptide fractions that have hypotensive ability may then be used to formulate foods, beverages or pills that can be taken as therapeutic tools against hypertension.
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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 | 0.002 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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 it