Faculty Opinions recommendation of Endometriosis is associated with aberrant endometrial expression of telomerase and increased telomere length.
Bibliographic record
Abstract
BACKGROUND: In order to test our hypothesis that endometriosis is associated with abnormal expression of telomerase and telomere lengthening in endometrium, we assessed endometrial expression of the human telomerase enzyme and telomere length (TL).METHODS: This prospective pilot study, included 29 women with symptomatic, surgically diagnosed endometriosis (Group 1) and 27 healthy, fertile, symptom-free women without endometriosis (Group 2, confirmed by laparoscopy). Seventeen women in Group 1 and 15 women in Group 2 had endometrial biopsies taken on Day 21 +/- 2 of the cycle. A further 12 women in each group were biopsied on Day 26 +/- 2. Telomerase and estrogen receptor beta (ERbeta) expression was evaluated by immunohistochemistry. Mean TL was determined by quantitative PCR.RESULTS: The endometria of fertile healthy women showed either weak or no telomerase immunoreactivity throughout the luteal phase. Immunostaining for telomerase was significantly increased during the implantation window and the premenstrual endometria of women with endometriosis (P < 0.0001). This was associated with a loss of stromal and vascular ERbeta immunostaining (P < 0.05). The mean TL were significantly longer in endometria of women with endometriosis during the implantation window (P = 0.005), indicating the biological relevance of our novel finding of telomerase in benign endometrium. There was positive correlation of the circulating estradiol with peripheral blood TL in women.CONCLUSIONS: We speculate that aberrant endometrial expression of telomerase mediates alterations in cell fate that enhance proliferation, contributing to the pathogenesis of endometriosis. PMID: 18456668
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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 | 0.001 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.154 | 0.045 |
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".