Signaling mechanisms underlying strain-dependent brain natriuretic peptide gene transcription
Bibliographic record
Abstract
Activation of brain natriuretic peptide (BNP) gene promoter activity represents one of the earliest and most reliable markers of ventricular cardiac myocyte hypertrophy. We recently demonstrated that mechanical strain increases immunoreactive BNP secretion, steady-state BNP mRNA levels and BNP gene transcriptional activity in neonatal rat myocyte cultures. We have also shown that strain-dependent BNP gene transcription is critically dependent on the functional integrity of a number of integrins (specfically β1, β3, and αvβ5 integrins) present on the surface of cardiac myocytes. When used alone, each of these antibodies resulted in a significant reduction in strain-dependent activation of a transfected hBNP-luciferase reporter and inhibition of a number of signaling pathways that have been linked to stimulation of this reporter (e.g., extracellular signal regulated kinase and c-Jun amino terminal kinase). The present study shows that combinations of these antibodies resulted in further reductions in hBNP gene promoter activity and inhibition of the relevant signaling cascades. These studies provide further support for the importance of integrin-matrix interactions in promoting strain-dependent changes in cardiac myocyte gene transcription.Key words: mechanical strain, brain natriuretic peptide, integrins, mitogen-activated protein kinase, cardiac myocyte.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 teacher head, 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".