Short term cyclical stretch phosphorylates p38 and ERK1/2 MAPKs in cultured fibroblasts from the hearts of rainbow trout, <i>Oncorhynchus mykiss</i>
Bibliographic record
Abstract
The form and function of the rainbow trout heart can remodel in response to various stressors including changes in environmental temperature and anaemia. Previous studies have hypothesized that changes in biomechanical forces experienced by the trout myocardium as result of such physiological stressors could play a role in triggering the remodeling response. However, there has been no work examining the influence of biomechanical forces on the trout myocardium or of the cellular signals that would translate such a stimuli into a biological response. In this study, we test the hypothesis that the application of biomechanical forces to trout cardiac fibroblasts activate the cell signalling pathways associated with cardiac remodeling. This was done by cyclically stretching cardiac fibroblasts to 10% equibiaxial deformation at 0.33 Hz and quantifying the activation of the p38-JNK-ERK mitogen activated protein kinase (MAPK) pathway. After 20 min, p38 MAPK phosphorylation was elevated by 4.2-fold compared to control cells (P&lt;0.05) and after 24h of stretch, p38 MAPK phosphorylation remained elevated and extracellular-regulated kinase 1/2 was phosphorylated by 2.4-fold compared to control (P&lt;0.05). Together, these results indicate that mechanotransducive pathways are active in cardiac fibroblasts, and lead to the activation of cell signalling pathways involved in cardiac remodeling.
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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".