Preclinical trial of avocado pulp supplementation in an L-NAME model of cardiovascular injury
Bibliographic record
Abstract
Abstract Background Endothelial dysfunction, dyslipidemia, and myocardial injury are major contributors to cardiovascular disease. Avocado (Persea americana), rich in monounsaturated fatty acids and phytochemicals, has shown lipid-lowering and anti-inflammatory properties, but its integrated effects on vascular injury remain unclear. Methods Male rats were randomized into six groups (n = 4 per group): control, avocado, L-NAME, L-NAME+drugs (metoprolol+losartan), L-NAME+avocado, and L-NAME+drugs+avocado. Morphometric indices, lipid profiles, cardiac injury enzymes, and vascular biomarkers were measured after treatment. One-way ANOVA with Tukey test assessed group differences, while contour plots and correlation networks visualized biomarker interactions. Results L-NAME treatment induced a pathological phenotype characterized by reduced feed efficiency (-40%), weight gain (-80%), and BMI (-18%), together with dyslipidemia (LDL +120%, TG +55%, TC +42%, HDL -28%), myocardial stress (troponin +70%, CK +50%, LDH +35%), and vascular activation (endothelin +350%, VCAM-1 +55%, AngII +80%; all p < 0.01). Avocado supplementation mitigated these effects: BMI and feed efficiency returned to near-control levels, LDL, TG, and TC fell by 30-45%, and troponin, CK, and LDH decreased by ∼25-30%. Endothelin, VCAM-1, and AngII were reduced by 40-55% relative to L-NAME. Network analysis revealed dense pathological correlations under L-NAME (density 0.42), simplified under avocado (0.17), and most normalized with avocado+drugs (0.09), indicating restoration of physiological biomarker independence. Conclusion Avocado supplementation attenuates L-NAME-induced vascular injury by improving metabolic efficiency, correcting dyslipidemia, reducing cardiac injury, and dampening endothelial activation, while reprogramming pathological biomarker networks toward control-like organization Highlights Avocado supplementation improves lipid balance, cardiac integrity, and vascular function in L-NAME–induced injury. Contour and network analyses reveal avocado disrupts maladaptive biomarker couplings and restores control-like organization. Preclinical evidence supports avocado as a nutraceutical adjunct for integrated cardiometabolic protection. GRAPHICAL ABSTRACT
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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 | 0.001 | 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 | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 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".