Ovarian hormones modulate monocyte chemotactic protein-1 expression in endometrial cells of women with endometriosis
Bibliographic record
Abstract
Endometriosis, a frequent oestrogen-dependent disease believed to result from an aberrant proliferation of endometrial tissue outside the uterine cavity, is associated with an increased expression of monocyte chemotactic protein-1 (MCP-1) in the intrauterine endometrium. This makes it plausible that migrating endometrial cells are intrinsically able to initiate monocyte chemoattraction and activation, a phenomenon which has been consistently observed in the peritoneal cavity of patients and recently in their eutopic endometrium. To elucidate the mechanisms involved in the regulation of MCP-1 expression in eutopic endometrial cells, we studied the effects of ovarian hormones and found that oestradiol (10(-9) and 10(-8) mol/l) markedly increased MCP-1 mRNA steady-state levels and protein secretion by endometrial cells in response to interleukin-1beta (IL-1beta) (0.1 ng/ml). The IL-1beta-induced MCP-1 expression was even higher following pretreatment of cells with both oestradiol (10(-9) mol/l) and progesterone (5x10(-8) mol/l). This did not seem to be due to increased MCP-1 mRNA stability, but rather to a higher level of gene transcription. Our results provide evidence that ovarian steroids regulate, indirectly, the synthesis and the secretion of a potent chemotactic and activating factor for monocytes/macrophages by endometrial cells of women with endometriosis and reveal a new mechanism for oestradiol action.
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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 | 0.000 | 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".