Bibliographic record
Abstract
OBJECTIVE: Fibroblast growth factor-2 (FGF-2) exerts its cardioprotective effect through cell surface receptor signaling and may play a role in the normal maintenance of a healthy myocardium. One mechanism of FGF-2 release from contracting cardiomyocytes is through transient sarcolemmal disruption, with accumulation in the extracellular matrix. Continuous FGF-2 release would require a link to synthesis and, thus, we examined regulation of FGF-2 promoter activity in cardiomyocytes as a potential target for optimizing cardioprotection. METHODS AND RESULTS: To investigate autoregulation, neonatal rat cardiomyocytes, (NRCM), were transfected with approximately 1 or 0.1 kb of rat FGF-2 promoter sequences linked to luciferase, -1058FGF-2p.luc and -110FGF-2p.luc, and treated with or without FGF-2. FGF-2 promoter activity was significantly increased approximately 2.5-fold with both genes. The proximal promoter region of rat FGF-2 contains putative binding sites for the early growth response-1 (Egr-1) and stimulating protein 1 (Sp1) transcription factors. Overexpression of Egr-1 and Sp1 increased -1058FGF-2p.luc expression by 4.4- and 8.7-fold, respectively. Mutation of Egr-1 and overlapping Sp1 sites did not blunt the response of -110FGF-2p.luc to FGF-2 treatment but did significantly reduce basal promoter activity. Transgenic mice expressing -1058FGF-2p.luc were treated with isoproterenol (IsP) to increase heart rate and endogenous FGF-2 release. FGF-2 promoter activity was stimulated significantly at 6 h, and increases in both FGF-2 and its receptor mRNA levels were also detected. In contrast, no effect of IsP was seen on -1058FGF-2p.luc or -110FGF-2p.luc in transfected NRCMs. CONCLUSIONS: FGF-2 released from cardiomyocytes may act to regulate its own synthesis at the transcriptional level. The mechanism does not appear to require an intact Egr-1 site in the proximal promoter region. This may, however, reflect redundancy in the control of FGF-2 promoter activity as our data support a stimulatory role for Egr-1 and Sp1.
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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 | 0.001 |
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".