Independent regulation of prostaglandins and monocyte chemoattractant protein-1 by interleukin-1β and hCG in human endometrial cells
Bibliographic record
Abstract
BACKGROUND: Inflammatory mediators such as prostaglandins (PG), chemokines, cytokines and their interactions regulate reproductive functions. The relationship between PG and monocyte chemoattractant protein-1 (MCP-1) has not been elucidated in human endometrium. The presence of hCG receptors in the human endometrium suggests that this embryonic signal may exert a local function in this tissue. Our objectives were to investigate the possible association between PG and MCP-1 and to examine the role of hCG in interleukin-1beta (IL-1beta)-regulated PG and MCP-1 production in human endometrium. METHODS: Primary cell cultures isolated from endometrial biopsies were used as an in vitro model. PG and MCP-1 levels were measured in the culture medium. RESULTS: IL-1beta stimulates the production of both PG and MCP-1. Neither COX inhibitors nor direct addition of PG affects MCP-1 production. By contrast, MCP-1 is able to induce PGE2 and PGF2alpha in a concentration-dependent manner but it does not appear to contribute to the increase in PG accumulation following IL-1beta stimulation. hCG inhibits IL-1beta-induced PG level. However, hCG has no effect on either basal or IL-1beta-mediated MCP-1 level. CONCLUSIONS: PG are not involved in the regulation of MCP-1 production in endometrial cells. hCG appears to play a local function in the endometrium.
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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".