Expression of Glycodelin and Cyclooxygenase‐2 in Human Endometrial Tissue Following Three‐dimensional Culture
Bibliographic record
Abstract
PROBLEM: Our previous study showed that in vitro culture of human endometrial tissue in a three-dimensional (3D) fibrin matrix could mimic the early stages of endometriosis with invasion, gland and stroma formation and sprouting of new vessels. The objective of the present study was to evaluate the expression of glycodelin (Gd) and cyclooxygenase-2 (COX-2), two angiogenic factors, to further validate the 3D culture model of endometriosis. METHOD OF STUDY: Human endometrial fragments were obtained from endometrial biopsies and placed in a 3D fibrin matrix culture. Immunohistochemistry with specific antibodies to Gd and COX-2 was used to examine endometrial epithelium and blood vessels, and 4, 6-diamidino-2-phenylindole staining was used for nuclear identification. RESULTS: Three-dimensional culture of human endometrial tissue in the fibrin matrix resulted in the proliferation of endometrial stromal cells, glandular epithelium and angiogenesis. Gd positive glandular epithelium was seen in 85% of wells with developing endometrial glands and COX-2 positive new vessels were seen in 80% of wells with angiogenesis-like structures after 4 weeks of culture. CONCLUSION: Our findings confirm that angiogenesis occurs following the culture of endometrial tissue in the 3D fibrin matrix, and suggests that Gd and COX-2 might play important roles in promoting neovascularization and cell proliferation in the establishment of endometriosis.
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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".