Uterine natural killer cells pace early development of mouse decidua basalis
Bibliographic record
Abstract
Pregnancy involves progressive relationship changes between conceptus-derived trophoblasts and maternal decidual vessels and leukocytes. Uterine natural killer (uNK) cells, the dominant leukocytes in early human and mouse decidua, have late gestational cardio-protective roles through mid-gestational initiation of decidual spiral arterial modification. The earlier gestational functions of uNK cells are unknown. Comparisons of gestation days (GD) 6.5-9.5 implant sites from allogeneically mated alymphoid or normal BALB/c mice (Rag2(-/-)Il2rg(-/-); NK-T-B- versus +/+) by whole mount immunohistochemistry revealed delays in Rag2(-/-)Il2rg(-/-) uterine lumen closure, trophoblast invasion and conceptus development. Also delayed were onset of mesometrial angiogenesis and pruning of neo-vascular networks in decidua basalis. This phenotype was fully reversed in BALB/c-Rag2(-/-)Il2rg(-/-) pregnancies that followed adoptive Rag2(-/-) (NK+B-T-) marrow transfer. These data suggest that uNK cells coordinate GD-appropriate phases of decidual angiogenesis, which in turn paces progressive changes in early implant sites that support normal fetal growth. Similar roles for human CD56(bright) decidual NK cells could explain the importance of CD56(bright) decidual NK cell activation to pregnancy success.
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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) | 0.003 | 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".