Oat-Protein-Based Diet Lowers Blood Pressure and Prevents Cardiac Remodeling and Dysfunction in Spontaneously Hypertensive Rats
Bibliographic record
Abstract
Background/Objectives: Hypertension and its associated complications, such as cardiac remodeling and dysfunction, continue to impose a significant burden on global healthcare. Nutritional interventions have been recognized as playing a crucial role in addressing this devastating condition termed a ‘silent killer’. Plant-based proteins could potentially be utilized as a non-pharmacological strategy to combat hypertension and its related risk factors. In this study, we investigated the efficacy of an oat protein diet in managing hypertension and cardiac abnormalities. Methods: Four-week-old male spontaneously hypertensive rats (SHRs) and Wistar–Kyoto (WKY) rats were fed a regular diet with casein as a protein source or an oat-protein-based diet for 16 weeks. Twenty-week-old male SHRs showed high blood pressure (BP), cardiac remodeling, cardiac dysfunction, higher levels of markers of oxidative stress [malondialdehyde (MDA)] and inflammation [tumor necrosis factor-α (TNF-α)], as well as lower levels of a marker of vascular function (nitric oxide). Results: The oat protein diet was able to significantly lower high BP, prevent cardiac remodeling and dysfunction, improve the levels of nitric oxide, and reduce the levels of TNF-α. Oat protein, after in vitro gastrointestinal digestion, also exhibited angiotensin-converting enzyme inhibition and significantly higher antioxidant activity than casein when assessed with the 2,2-diphenyl-1-picrylhydrazyl and the iron-chelating assays in vitro. Conclusions: oat protein lowers BP and prevents cardiac remodeling and dysfunction partly via improving the levels of nitric oxide and TNF-αin SHRs. Its high antioxidant potential could contribute to the observed cardiovascular effects.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".