Stimulation of Macrophage Migration Inhibitory Factor Expression in Endometrial Stromal Cells by Interleukin 1, beta Involving the Nuclear Transcription Factor NFκB1
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Endometriosis, the ectopic development of endometrial tissue, is, particularly in peritoneal endometriosis, believed to result from tubal reflux of menstrual tissue. The release of cytokines and growth factors by refluxed endometrial cells in response to peritoneal inflammatory stimuli may enhance the capability of endometrial cells to implant and grow into the peritoneal host tissue. Herein we report that interleukin 1 (IL1), a major proinflammatory cytokine that is overproduced by endometriosis women-derived peritoneal macrophages and found in elevated concentrations in the peritoneal fluid of patients with endometriosis, stimulates the synthesis and the secretion of macrophage migration inhibitory factor (MIF) by human endometrial stromal cells. IL1B (0.1-100 ng/ml) exerted dose- and time-dependent effects of MIF protein secretion and mRNA synthesis, as shown by ELISA and reverse transcription-polymerase chain reaction, respectively. IL1B appeared to induce MIF gene transcription via the kappaB nuclear transcription factor (NFkappaB), as shown by electrophoretic mobility shift assay and Western blot analysis of IkappaB phosphorylation. Curcumin (10(-8) M), which is known for inhibiting NFkappaB activation, inhibited IL1B-induced MIF secretion as well as NFkappaB nuclear translocation and DNA binding. Taken together, these findings clearly show that IL1B up-regulates the expression of MIF in endometrial stromal cells in vitro and acts via NFkappaB. This may play an important role in the physiology of the human endometrium and the pathophysiology of endometriosis considering the immunomodulatory properties of MIF as well as its role in cell growth, angiogenesis and tissue remodeling.
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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 | 0.000 | 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) | 0.000 | 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 it