The Role of Macrophages in Utero-placental Interactions During Normal and Pathological Pregnancy
Bibliographic record
Abstract
The intimate association between maternal and placental tissues elicits an interesting immunological paradox. Placental tissue contains paternal antigens, but under normal circumstances the semi-allogeneic fetus and placenta are not attacked by the maternal immune system. Interestingly, this tolerance to fetal antigens occurs in the presence of a large number of maternal leukocytes, almost all of which are members of the innate immune system. Macrophages are one of the most abundant leukocytes in the decidua and their numbers remain constant throughout gestation. They are recruited to the decidua by both stromal cells and trophoblast cells, where they adopt a specialized phenotype that may assist in various aspects of decidual homeostasis, placental development, and tolerance to the semi-allogeneic trophoblast. Aberrant behavior of these macrophages can affect trophoblast function and placental development, potentially leading to a spectrum of adverse pregnancy outcomes ranging from pre-eclampsia to fetal growth restriction or demise. This review will focus on the phenotype and putative functions of decidual macrophages in normal pregnancy, and how abnormal activation of these cells can affect various aspects of placental development.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".