Nitric Oxide Attenuates the Expression of Transforming Growth Factor-β<sub>3</sub>mRNA in Rat Cardiac Fibroblasts via Destabilization
Bibliographic record
Abstract
Transforming growth factor-beta (TGF-beta) has been implicated in the development of interstitial fibrosis in cardiac hypertrophy. NO has been regarded as a potent inhibitor of cardiac fibroblast growth, albeit the modulation of cellular events associated with interstitial fibrosis remains undefined. In this regard, the regulation of TGF-beta mRNA expression by the NO donor S-nitroso-N-acetyl-penicillamine (SNAP) was examined in neonatal rat cardiac fibroblasts. SNAP treatment for 4 hours decreased TGF-beta(3) mRNA levels, an effect mimicked by 8-bromo-cGMP. TGF-beta(3) mRNA, however, had returned to levels observed in the untreated cells after a 24-hour exposure to SNAP, whereas a decreased expression persisted with 8-bromo-cGMP. In contrast to TGF-beta(3), TGF-beta(1) mRNA levels were modestly increased in response to cGMP-generating molecules. The treatment with actinomycin D for at least 8 hours did not appreciably alter TGF-beta(3) mRNA levels. By contrast, SNAP treatment caused a rapid decrease of TGF-beta(3) mRNA with a half-life of 3.3+/-0.2 hours, thereby supporting a mechanism of destabilization. The pretreatment with SNAP inhibited angiotensin II-stimulated protein synthesis and the concomitant expression of TGF-beta(3) mRNA. These data reveal a disparate pattern of TGF-beta(1) and TGF-beta(3) mRNA regulation by NO and highlight a novel mechanism of destabilization contributing to the decreased expression of TGF-beta(3) mRNA. The modulation of both basal and angiotensin II-stimulated TGF-beta(3) mRNA expression provides a mechanism by which NO may influence the progression of interstitial fibrosis.
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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".