Towards the management of hypertension: Modulation of therenin-angiotensin system by food protein hydrolysates and peptides
Bibliographic record
Abstract
In response to the side effects of antihypertensive drugs, dietary and lifestyle modification approaches have become alternative strategies for prevention and modulation of mild hypertension. Moreover, the use of low molecular size bioactive peptides (BAPs) as antihypertensive agents has gained particular attention as a result of the safety, low cost, and consumer preference for natural health products compared to drugs. BAPs are produced by enzymatic hydrolysis of food proteins followed by post-hydrolysis processing to fractionate the active peptides. Antihypertensive BAPs exert their effect mostly by modulating the renin-angiotensin system pathway leading to decrease in vasoactive peptides with concomitant reduction of elevated blood pressure associated with hypertension in animal models and humans. This review revisits the prevalence of hypertension and the molecular basis of activity, bioavailability and safety of BAPS as well as contradictions and controversies on the use of peptides as antihypertensive agents.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| 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".