Deficient Expression of Tumor Necrosis Factor Receptor Type 2 in the Endometrium of Women with Endometriosis
Bibliographic record
Abstract
PROBLEM: Tumor necrosis factor-alpha (TNF-alpha) is secreted mainly during the menstrual phase and has been suggested to play a role in induction of apoptosis in endometrial cells and menstrual shedding. TNF-alpha receptor type 2 (TNF-RII) is believed to play a central role in TNFalpha-mediated cytotoxic, mitogenic, anti-proliferative and apoptotic effects. The aim of this study was to assess whether TNF-RII maybe expressed differentially in the endometrium of women with different degrees of endometriosis. METHOD OF STUDY: TNF-RII expression in the endometrial tissue of women with and without endometriosis was investigated by immunohistochemical techniques and in situ hybridization. RESULTS: In histological sections, we observed TNF-RII mRNA and the corresponding protein localized mainly in endometrial glandular cells, with only very faint immunostaining in the surrounding stromal cells. Statistical analysis of our data showed a significant decrease in protein and mRNA expression of TNF-RII in endometrial glandular cells of patients with stages I and II endometriosis compared to normal subjects. TNF-RII expression was also found to decrease significantly in the secretory phase of the menstrual cycle in women with early endometriosis stages (I and II). CONCLUSIONS: In view of the relevant role of TNF-RII in the modulation of the inflammatory and the proapoptotic effects of TNFalpha, deficient expression of TNF-RII mRNA in the endometrium of women at the earliest stages of endometriosis may play a significant role in the pathophysiology of this disease.
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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 | 0.000 |
| 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".