Elevated Endometrial Androgen Receptor Expression in Women with Polycystic Ovarian Syndrome1
Bibliographic record
Abstract
Androgen receptors (AR) have been identified in human endometrium; however, their role in endometrial cyclic development and function remains poorly understood. The objective of the present study was to investigate the profile of endometrial AR in normal menstrual cycles and in the endometrium of women with polycystic ovarian syndrome (PCOS). This syndrome is characterized by chronic hyperandrogenism and oligo-ovulation, and it is often associated with poor reproductive performance. Using immunohistochemistry and reverse transcription-polymerase chain reaction, we found that women with PCOS exhibited elevated endometrial AR expression compared to normal, fertile controls. This increase was most apparent in glandular and luminal epithelium. Furthermore, when compared to endometrium from fertile women, PCOS endometrium showed other abnormalities in endometrial development, including delay or absence of the alpha(v)beta3 integrin, a well-characterized biomarker of uterine receptivity described previously (Lessey et al., JCI 1992; 90:188-195). To better understand and to gain insights regarding these findings, we used in vitro cell-culture models to study the regulation of AR in primary endometrial stromal and the well-differentiated epithelial cell line (Ishikawa). Based on Western blot analysis, epithelial AR is up-regulated by estrogens and androgens and is inhibited by progestins and epidermal growth factor (EGF). On the other hand, EGF significantly induced the expression of alpha(v)beta3, whereas estrogen and androgen treatment inhibited its expression. Collectively, these results suggest that the poor reproductive performance observed in women with PCOS may be due, in part, to the concomitant increase in both serum androgens and elevations in endometrial AR. This combination may reduce endometrial receptivity as judged by the down-regulation of alpha(v)beta3 integrin.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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".