Mitogen-activated protein kinases contribute to temperature induced cardiac remodelling in rainbow trout ( <i>Oncorhynchus mykiss</i> ) heart
Bibliographic record
Abstract
Abstract Rainbow trout ( Oncorhynchus mykiss ) live in temperate environments and experience seasonal changes in temperature that range between 4°C and 20°C. Laboratory studies demonstrate that cold and warm acclimation of male trout can have oppositional effects on cardiac hypertrophy and the collagen content of the heart. The cellular mechanisms behind temperature induced cardiac remodelling are unclear, as is why this response differs between male and female fish. Recent work utilizing cultured trout cardiac fibroblasts suggests that collagen deposition is regulated, at least in part, by mitogen-activated protein kinase (MAPK) cell signalling pathways. We therefore hypothesized that temperature-dependent cardiac remodelling is regulated by these same cell signalling pathways. To test this, male and female trout were acclimated to 18°C (warm) in the summer and to 4°C (cold) in the winter and the activation of MAPK pathways in the hearts were characterized and compared to that of control fish maintained at 12°C. Animals, maintained under a natural photoperiod matched to time of year, were sampled throughout each acclimation. p38 MAPK phosphorylation increased in the hearts of female fish during the cold acclimation protocol and the phosphorylation of extracellular signal-regulated kinase (ERK) increased in the hearts of male fish with warm acclimation. These results indicate that thermal acclimation has transient and sex-specific effects on the phosphorylation of MAPKs.
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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".