Restraint of Trophoblast Invasion of the Uterus by Decorin: Role in Pre‐eclampsia
Bibliographic record
Abstract
Decorin (DCN) is a leucine-rich, TGF-β binding proteoglycan produced by mesenchymal cells including chondrocytes, dermal fibroblasts, and uterine decidual cells. It exerts multiple physiological functions including collagen fibrillogenesis, myogenesis, angiostasis, and restraining placental invasiveness. We discovered that decidua-derived DCN restrains proliferation, migration, and invasion of extravillous trophoblast (EVT) cells of the human placenta in a TGF-β-independent manner. These functions were differentially mediated by binding of DCN to multiple tyrosine kinase receptors (TKR) including EGFR, IGFR1, and VEGFR2. DCN blocked VEGFR-2 dependent EVT cell migration and endovascular differentiation by inhibiting P38MAPK and ERK1/2 pathways.We identified the avid VEGFR2 binding site in DCN protein as a 12 amino acids (LGTNPLKSSGIE) span in the Leucine-rich-repeat (LRR) 5 region of domain III. A single amino acid mutation (substitution of K to A) of DCN at this site abrogated VEGFR-2- dependent DCN actions. Also, DCN mRNA expression, measured with in situ hybridization, was selectively upregulated in decidual cells in placentas from mothers suffering from pre-eclampsia (PE), whereas the expression levels remained unchanged in chorionic villus mesenchymal cells. This difference between PE and control placentas was present at all gestational ages, indicating the pathogenic role of DCN in PE. We hypothesize that increased blood DCN levels could be a candidate biomarker for PE.
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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) | 0.000 | 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 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".