IFN- -mediated extravillous trophoblast outgrowth inhibition in first trimester explant culture: a role for insulin-like growth factors
Bibliographic record
Abstract
Pre-eclampsia is often associated with inadequate cytotrophoblast invasion and remodelling of the uterine spiral arteries. Examining a first trimester, 2D in vitro explant culture model which mimics in vivo placentation, including trophoblast column formation and extravillous cytotrophoblast (EVT) migration, we previously suggested that excessive maternal decidual natural killer cell interferon (IFN-gamma) limits EVT migration. Types-1 and -2 insulin-like growth factor (IGF-1, IGF-2) are trophic for EVT, act through their surface receptors, IGFR-1 and IGFR-2, and are regulated by the IGF-binding proteins (IGFBPs). Could the observed IFN-gamma-mediated inhibition of EVT outgrowth and migration be related to either expression changes of IGF-1 or IGF-2, their receptors, their binding proteins, or apoptosis? Using the 2D explant culture model, we examined the effect of IFN-gamma exposure on IGF-1 and -2, IGFR-1 and -2, IGFBPs and apoptosis. IFN-gamma relatively increased IGF-1 and -2 secretion. In EVT, IFN-gamma decreased IGFR-2, but not IGFR-1 expression. IGBP-2, -3 and -4 production were not influenced by IFN-gamma. IFN-gamma induced trophoblast apoptosis measured by the highly sensitive M30 neo-epitope, but not caspase 3 activity, in conditioned medium and EVT cell lysates. The observed IFN-gamma-mediated EVT migration inhibition may occur through the down-regulation of IGFR-2 and subtle induction of EVT apoptosis.
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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 | 0.001 |
| 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".