Soy protein-derived ACE-inhibitory peptide LSW (Leu-Ser-Trp) shows anti-inflammatory activity on vascular smooth muscle cells
Bibliographic record
Abstract
Soy proteins are a rich source of various bioactive peptides. LSW (Leu-Ser-Trp) was previously identified from thermolysin-digested soy protein hydrolysate as a potent ACE-inhibitory peptide; however, its biological effects on vascular cells have not been elucidated. The present study evaluated anti-oxidant and anti-inflammatory activities of LSW on vascular smooth muscle cells (VSMCs). Ang II promoted oxidative stress and inflammation in VSMCs; adding LSW did not show anti-oxidant activity, while COX-2, but not iNOS, was down-regulated in Ang II-stimulated VSMCs, suggesting its anti-inflammatory activity. AT1R mediates most of the pathological effects of Ang II in VSMCs; LSW down-regulated Ang II-stimulated AT1R expression, via decreased phosphorylation of both Src and ERK1/2. Furthermore, LSW could also reduce the phosphorylation of nuclear transcription factor p50, but not p65. Results of this study suggested a novel function of LSW as an anti-inflammatory agent on VSMCs, which might broaden its uses as 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) | 0.000 | 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) | 0.001 | 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".