Abstract 18985: Lentil-Based Diets Reduce Vascular Remodeling Through a p38 Mitogen-Activated Protein Kinase Dependant Mechanism in the Spontaneously Hypertensive Rat
Bibliographic record
Abstract
Hypertension is a major driving force behind arterial remodeling, which increases stiffness, and decreases compliance and function. Certain pharmaceuticals are capable of lowering high blood pressure, but most interventions are unable to also reverse remodeling. We have found that lentils are able to significantly attenuate the development of hypertension in the SHR, however the mechanism for this action remains unresolved. The current study examined the hypothesis that the positive actions of lentils on blood pressure are mediated through direct changes in arterial function that decrease remodeling and improve arterial compliance. Seventeen-week SHR were randomly assigned to groups (n=8/group) fed (i) 30% w/w green lentils, (ii) 30% w/w red lentils, (iii) 30% w/w mixed lentils (red and green), or (iv) no lentils. Normotensive WKY control rats were fed either mixed lentil or no lentil diets (n=8/group). BP and pulse wave velocity were measured weekly; pressure myography was performed at termination. Western Blotting was performed on aorta protein samples. There were no dietary related changes in pulse wave velocity, however, green lentils restored arterial compliance to a level better than control-fed WKY. All lentil fed animals exhibited arterial stiffness comparable to WKY control, with green lentils experiencing the largest improvement according to myography measurements. All lentils reduced the media:lumen ratio to a level between control fed SHR and WKY. Western blotting indicated a decrease in p38 MAPK activation in lentil-fed SHR with no change in ERK1/2 phosphorylation. Although both ERK1/2 and p38 MAPK are potent mediators of vascular remodeling, only p38MAPK phosphorylation is redox sensitive. These data would indicate that lentil-based diets are able to decrease vascular remodeling by ameliorating p38 MAPK-dependent redox-sensitive signaling cascades.
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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) | 0.001 | 0.000 |
| 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 | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".