Molecular mechanisms in IL-1β-mediated decorin production by decidual cells
Bibliographic record
Abstract
Decorin, a small leucine-rich proteoglycan produced by decidual cells restrains trophoblast differentiation, migration and invasiveness of extra-villous trophoblast cells. Decidual overproduction of decorin is associated with preeclampsia, and elevated decorin levels in maternal plasma are a predictive biomarker of preeclampsia. Furthermore, decorin plays an autocrine role in maturation of human endometrial stromal cells into decidual cells. Thus, a balanced decorin production by the decidua is critical for healthy pregnancy. However, the molecular mechanisms regulating decorin production by the decidua are unclear. Interleukin-1 beta is an inflammation-associated multi-functional cytokine, and is reported to induce decidualization in primates. Hence, the present study was designed: (i) to test if exogenous Interleukin-1 beta stimulated decorin production by human endometrial stromal cells; and if so, (ii) to identify the cellular source of Interleukin-1 beta in first trimester decidual tissue; (iii) to identify the downstream molecular partners in Interleukin-1 beta mediated decorin production by human endometrial stromal cells. Results revealed that (i) amongst multiple pro-inflammatory cytokines tested, Interleukin-1 beta alone stimulated decorin production by these cells; (ii) both macrophages and decidual cells in first trimester decidua produced Interleukin-1 beta; (iii) Interleukin-1 beta mediated decorin production was dependent on Interleukin-1 receptor activation, followed by activation and nuclear translocation of nuclear factor kappa B and its binding to the decorin promoter. These results reveal that Interleukin-1 beta plays a novel role in inducing decorin production by human endometrial stromal cells by activating nuclear factor kappa B.
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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".