Resveratrol prevents accumulation and secretion of the pro‐hypertrophic high molecular weight FGF‐2 by rat and human cardiac myofibroblasts
Bibliographic record
Abstract
Background Resveratrol (Resv) is known to prevent cardiac hypertrophy by a mechanism attributed to direct effects on cardiomyocytes. Cardiac fibroblasts are known to mediate the paracrine induction of hypertrophy, by secreting bioactive agents including the pro‐hypertrophic high molecular weight (Hi) FGF‐2. Here, we examined the effects of Resv on the angiotensin II (Ang II)‐induced HiFGF‐2 upregulation and release by cardiac myofibroblasts. Results Cardiac non‐myocytes, isolated from the hearts of neonatal rats or from human cardiac atrial tissue, expressed proteins characteristic of myofibroblastic phenotype at passage P2, as indicated by expression of extra domain A‐fibronectin, non‐muscle myosin heavy chain, and α‐smooth muscle actin. Stimulation with Ang II promoted the upregulation of both total and exported HiFGF‐2. Secreted HiFGF‐2 was capable of inducing cardiomyocyte hypertrophy in culture. Resv prevented both total and exported HiFGF‐2 upregulation, in both rat and human heart cells. Studies have shown that the effects of Resv can be mediated by inhibition of ERK and MMP‐2 activities; in agreement, we found that inhibition of these pathways diminished the Ang II‐induced HiFGF2 upregulation and release. Conclusions Our data suggest that the anti‐hypertrophic effect of Resv may be mediated in part by its effects on cardiac fibroblasts, preventing HiFGF‐2 accumulation and secretion. Grant Funding Source : CIHR
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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 | 0.001 |
| 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".