Epinephrine‐induced MMP expression is different between skeletal fibroblasts and myoblasts
Bibliographic record
Abstract
Skeletal fibroblasts and myoblasts are among the cell types currently being considered in cell therapy for ischaemic heart disease. To investigate whether the expression of the tissue-remodelling proteolytic enzymes matrix metalloproteinases (MMPs) and the cellular energy regulator AMP-activated protein kinase (AMPK) is comparable between the two cell lines in response to epinephrine treatment, mouse skeletal fibroblasts (NOR-10) and myoblasts (C2C12) were treated with or without a low (11 nmol·l(-1) ) or high (55 nmol·l(-1) ) dose of epinephrine for 2 or 6 h. Cellular MMP-3 expression was increased by the high-dose epinephrine at both treatment periods in both cell lines. Cellular MMP-2 and MMP-13 expressions were amplified by the 2- or 6-h epinephrine incubation in fibroblasts. However, in myoblasts, such an increase was only seen at the longer treatment time. An elevated AMPKα expression was observed after a 2-h presence of epinephrine in both cell lines, which matches temporally with the early increased cellular MMP-2 and MMP-13 expression in fibroblasts. Activity of secreted MMP-2 increased only after 6-h epinephrine treatment in both cell types. Our data suggest that skeletal fibroblasts respond earlier to epinephrine application in terms of endogenous synthesis of the proteolytic and the energy homeostasis enzymes, whereas such response occurs later and to a milder dose of the beta adrenergic agonist in myoblasts.
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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".