Mitogen-activated protein kinases mediate stretch-induced c-<i>fos</i> mRNA expression in myometrial smooth muscle cells
Bibliographic record
Abstract
Evidence indicates that stretch of the uterus imposed by the growing fetus contributes to the onset of labor. Previously we have shown that mechanically stretching rat myometrial smooth muscle cells (SMCs) induces c-fos expression. To investigate this stretch-induced signaling, we examined the involvement of the mitogen-activated protein kinase (MAPK) family. We show that stretching rat myometrial SMCs induces a rapid and transient phosphorylation (activation) of MAPKs: extracellular signal-regulated protein kinase (ERK), c-Jun NH2-terminal kinase (JNK), and p38. The use of selective inhibitors for the ERK pathway (PD-98059 and U-0126), p38 (SB-203580), and JNK pathway (curcumin) demonstrated that activation of all three MAPK signaling pathways was necessary for optimal stretch-induced c-fos expression. We also demonstrate that upstream tyrosine kinase activity is involved in the mechanotransduction pathway leading to stretch-induced MAPK activation and c-fos mRNA expression. To further examine the role of MAPKs in vivo, we used a unilaterally pregnant rat model. MAPKs (ERK and p38) are expressed in the pregnant rat myometrium with maximal ERK and p38 phosphorylation occurring in the 24 h immediately preceding labor. Importantly, the rise in MAPK phosphorylation was confined to the gravid horn and was absent in the empty uterine horn, suggesting that mechanical strain imposed by the growing fetus controls MAPK activation in the myometrium. Collectively, this data indicate that mechanical stretch modulates MAPK activity in the myometrium leading to c-fos expression.
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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) | 0.002 | 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".