Correlation Between Decreased Type‐II Interleukin‐1 Receptor and Increased Monocyte Chemotactic Protein‐1 Expression in the Endometrium of Women with Endometriosis
Bibliographic record
Abstract
PROBLEM: Monocyte chemotactic protein-1 (MCP-1), a potent inducer of macrophage recruitment and activation, is overexpressed in the eutopic endometrium of women with endometriosis. Eutopic endometrial cells of women with endometriosis secrete higher levels of MCP-1 than those of normal women, following stimulation with interleukin-1 (IL-1). The aim of this study was to examine whether there is any correlation between the expression of IL-1 receptor type II (IL-IRII), a specific downregulator of IL-1 activity, and that of MCP-1 in the eutopic endometrium of women with endometriosis. METHOD OF STUDY: Endometrial biopsies of 46 women with endometriosis and 22 healthy women were evaluated simultaneously for IL-1RII and MCP-1 expression by immunohistochemistry. RESULTS: Our study revealed a highly significant correlation between the decreased expression of IL-1RII and the increased expression of MCP-1 in the endometrial tissue of women with endometriosis (Spearman correlation coefficient r = -0.377, P = 0.002), particularly in the initial stages of the disease (stages I and II; r = - 0.368, P = 0.020 and r = -0.480, P = 0.002, respectively). Furthermore, this correlation was observed in the proliferative (r = -0.366, P = 0.047) and the secretory phases (r = -0.321, P = 0.049) of the menstrual cycle. CONCLUSIONS: These results suggest that the reduced capability of endometrial tissue to downregulate IL-1 proinflammatory effects may be involved in the increased expression of MCP-1 in the endometrium of women with endometriosis and the establishment of an inflammatory state. The results also indicate a sustained process of cell activation throughout the menstrual cycle.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 |
| 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".