Purification and identification of angiotensin II type I receptor downregulating peptide from egg white hydrolysate
Bibliographic record
Abstract
The vasoconstricting effect of angiotensin II (Ang II) is mediated by Ang II type I receptor (AT1R); blocking or blunting AT1R is a key strategy for the development of antihypertensive drugs. Our previous study showed that the blood pressure lowering the activity of egg white hydrolysate (EWH) in spontaneously hypertensive rats was due to the downregulation of aortic AT1R expression, which promoted us to further identify the AT1R downregulating peptides in the present study. The protein expression of AT1R in a rat aortic vascular smooth muscle cell line A7r5 cells was used for the activity test. The hydrolysate was fractionated stepwise by C18 Sep-Pack cartridge and reverse-phase chromatography, and the peptide sequences were characterized by LC-MS/MS. Peptides including ITKPNDVYS, VVGSAEAGVDAAS, AVHAAHAEINEAGRE, AGREVVGSAEAGVD, and VVGSAEAGVD, were identified. ITKPNDVYS showed the most potent peptide for lowering the level of AT1R in A7r5 cells. These results suggested that ITKPNDVYS is the responsible peptide for lowering the AT1R level in EWH. PRACTICAL APPLICATIONS: A new peptide ITKPNDVYS was identified as a downregulator of AT1R from egg white hydrolysate, which provides a new approach for the development of food protein-derived antihypertensive peptides as nutraceuticals or functional food ingredients.
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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) | 0.000 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".