Polarized Release of Matrix Metalloproteinase-2 and -9 from Cultured Human Placental Syncytiotrophoblasts1
Bibliographic record
Abstract
The large increase in placental surface area and fetal villous vascular development in the third trimester of pregnancy requires degradation and reformation of the placental basal lamina. Degradation is carried out by matrix metalloproteinases (MMPs) secreted by adjacent cells. Although the gelatinases, MMP-2 and MMP-9, which are released by extravillous cytotrophoblasts (CTs) are believed to play crucial roles in early placental expansion, neither has been reported in third trimester villous trophoblasts nor has appropriate (basolateral) release of any MMP by the highly polarized syncytiotrophoblast (ST) been demonstrated. We demonstrated villous trophoblast expression of both MMP-2 and MMP-9 by in situ immunohistochemistry and by Western blot analysis and zymography of lysates and culture supernatants of highly purified villous CTs. We also found that epidermal growth factor (EGF)-stimulated CT differentiation into ST and stimulation by the phorbol diester, PMA, both increase MMP-9 secretion. The direction of MMP release was determined with confluent cultures of ST on porous membranes. We found that >90% of MMP-2 and MMP-9 were released from the basolateral surface. We conclude that villous STs express and release gelatinases from their basolateral surfaces in a regulated manner and suggest that such polarized release may be important to villous tissue remodeling.
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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 | 0.001 |
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".