Regulation of A Disintegrin And Metalloproteinase with ThromboSpondin Repeats-1 Expression in Human Endometrial Stromal Cells by Gonadal Steroids Involves Progestins, Androgens, and Estrogens
Bibliographic record
Abstract
CONTEXT: Gonadal steroids are key regulators of the extracellular matrix remodeling events that occur in the human endometrium during each menstrual cycle. The spatiotemporal expression of A Disintegrin And Metalloproteinase with ThromboSpondin repeats (ADAMTS)-1 in human endometrial stroma in vivo suggests that this novel metalloproteinase may contribute to this tightly regulated developmental process. OBJECTIVE: The objective of the study was to determine whether progesterone (P4), 17beta-estradiol (E2), or the nonaromatizable androgen dihydrotestosterone (DHT), alone or in combination, is capable of regulating ADAMTS-1 mRNA and protein levels in human endometrial stromal cells in a concentration- and time-dependent manner. DESIGN: A real-time quantitative PCR strategy and Western blotting were used to examine ADAMTS-1 mRNA and protein expression levels in primary cultures of human endometrial stromal cells. RESULTS: P4 and DHT but not E2 increased the levels of the ADAMTS-1 mRNA transcript and protein species (110 kDa) present in endometrial stromal cells in vitro in a concentration- and time-dependent manner. A combination of P4 and DHT resulted in an additional increase in stromal ADAMTS-1 expression, whereas E2 attenuated the regulatory effects of P4 and DHT in a concentration-dependent manner. The antisteroidal compounds, mifepristone (RU486) and hydroxyflutamide, were also found to inhibit specifically the P4- and DHT-mediated increase in ADAMTS-1 mRNA and protein expression levels in these primary cell cultures in a concentration-dependent manner, respectively. CONCLUSIONS: These studies demonstrate that progestins, androgens, and estrogens, alone and in combination, have distinct regulatory effects on ADAMTS-1 mRNA and protein expression levels in human endometrial stromal cells in vitro.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".