Interleukin-1β and plasminogen activating system members in endometriotic stromal cell migration/invasion
Bibliographic record
Abstract
OBJECTIVE: To study the role of interleukin (IL)-1β and the plasminogen activating (PA) system members in endometriotic stromal cell (ESC) migration/invasion. DESIGN: Primary cultures of ESCs. SETTING: Tertiary referral center for endometriosis and pelvic pain. PATIENT(S): Patients with surgically excised endometriosis. INTERVENTION(S): Interleukin-1β stimulation of primary cultures of ESCs and knockdown of the PA system members urokinase plasminogen activator (uPA), uPA receptor, and plasminogen activator inhibitor-1 (PAI-1). MAIN OUTCOME MEASURE(S): Invasion/migration assays. RESULT(S): In primary cultures, IL-1β-stimulated ESC production of the PA system members uPA, uPA receptor, and PAI-1. Interleukin-1β also enhanced ESC migration and invasion, and these effects were inhibited by the IL-1 receptor-1 antagonist anakinra. Knockdown of each of the 3 PA system members also inhibited ESC migration and invasion. Knockdown of these PA system members further attenuated the impact of IL-1β on migration and invasion, suggesting that they mediated the promigration and proinvasion effects of IL-1β. To supplement the cell culture work, immunohistochemistry was performed on tissue sections of endometriotic epithelium/stroma: uPA, PAI-1, and IL-1β histoscores were not found to be correlated with each other. CONCLUSION(S): In primary cultures of ESCs, IL-1β induces migration and invasion, which is mediated by PA system members and inhibited by the drug anakinra. However, the immunohistochemistry expression of IL-1β, urokinase plasminogen inhibitor-1, and PAI-1 were not correlated, suggesting other regulatory mechanisms for PA system members. Inhibition of IL-1β (e.g., with anakinra) may have potential as a novel treatment approach for the migration/invasion of endometriosis.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| 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) | 0.000 | 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 teacher head, 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".