Chicken Muscle Protein‐Derived Peptide VVHPKESF Reduces TNFα‐Induced Inflammation and Oxidative Stress by Suppressing TNFR1 Signaling in Human Vascular Endothelial Cells
Bibliographic record
Abstract
SCOPE: This study aims to investigate the protective effects of four chicken muscle-derived peptides Val-Arg-Pro (VRP), Leu-Lys-Tyr (LKY), Val-Arg-Tyr (VRY), and Val-Val-His-Pro-Lys-Glu-Ser-Phe [VVHPKESF (V-F)] on tumor necrosis factor alpha (TNFα)-induced endothelial inflammation and oxidative stress in human vascular endothelial EA.hy926 cells. METHODS AND RESULTS: ) treatment for different periods of time. Inflammatory proteins and signaling molecules including inducible nitric oxide synthase, intracellular cell adhesion molecule-1, vascular cell adhesion molecule-1 (VCAM-1), cyclooxygenase 2 (COX2), nuclear factor kappa B (NF-κB), mitogen-activated protein kinases (MAPKs), and TNFα receptor 1 (TNFR1) are measured by qRT-PCR or western blotting; soluble TNFR1 level and nicotinamide adenine dinucleotide phosphate NADPH) oxidase activity are determined by Elisa kits; superoxide is measured by dihydroethidium staining. Only V-F treatment inhibits the expression of VCAM-1 and COX2, via suppressing NF-κB and p38 MAPK signaling, respectively, while reduced oxidative stress via the inhibition of NADPH oxidase activity; V-F treatment attenuates both gene and protein expressions of TNFR1. CONCLUSION: V-F treatment ameliorates TNFα-induced endothelial inflammation and oxidative stress likely via the inhibition of TNFR1 signaling, suggesting its potential as a functional food ingredient or nutraceutical in the prevention and treatment of hypertension and cardiovascular diseases.
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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".