Proliferative Action of the Androgen Receptor in Human Uterine Myometrial Cells—A Key Regulator for Myometrium Phenotype Programming
Bibliographic record
Abstract
CONTEXT: During pregnancy, the myometrium undergoes a phenotype programming starting from an early proliferative stage, to an intermediate synthetic stage, to a late contractile stage, after which the cells commit to labor. Steroid receptors play important roles in regulating myometrial cell phenotype during pregnancy, although detailed mechanisms are not fully defined. OBJECTIVE: The aim of the study was to investigate the expression and function of the androgen receptor (AR) in myometrial cells during pregnancy. DESIGN AND SETTING: Human primary myometrial cells, immortalized myometrial cells, rat pregnant and tubal ligation models were used. Immunohistochemistry, Western blot and real-time PCR, cell proliferation, and flow cytometry assays were applied. RESULTS: The AR is highly expressed in the proliferative stage of pregnancy, starts to decrease in the synthetic stage, and reaches the lowest levels in the contractile stage. Both the mechanical stretch by the growing fetus and the decreased ratio of progestin:estrogen are responsible for AR protein reduction. AR regulates myometrial cell proliferation ligand-independently. Decreased AR expression delays the G(1)-S phase transition of human myometrial cell cycling and reduces expression of several cyclins. These AR actions are mediated through reducing IGF-I receptor protein stability, thus weakening PI3K/Akt signal cascade downstream of IGF-I. AR is required for IGF-I receptor protein stability by preventing the IGF-I receptor from ubiquitylation and protein degradation through both proteosomal and lysosomal pathways. CONCLUSION: AR is a key regulator for myometrial cell proliferation, suggesting its critical role in myometrium phenotype programming during pregnancy.
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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".