1. Heme Oxygenase‐1 Enzyme Deficiency Affects Uterine Natural Killer Cell Function During Murine Pregnancy
Bibliographic record
Abstract
Recurrent miscarriage is a condition that affects 1% of all women, and rejection of the fetus by the mother's immune system is thought to be one of the underlying causes. The mechanisms of maternal tolerance vital to a successful pregnancy are not well understood; however, uterine natural killer (uNK) cells are implicated as they comprise over 70% of immune cells in the uterus during early pregnancy. Heme oxygenase‐1 (HO‐1) is an enzyme that is known to be immunosuppressive. Moreover, mice missing HO‐1 have extremely high abortion rates. This study is the first to analyze the effects of HO‐1 deficiency specifically on uNK cells. We posit that an absence of HO‐1 affects normal uNK cell‐mediated immunosuppression, and also possibly their ability to modify uterine spiral arteries supplying blood to the fetus. Our study analyzed embryos from mice lacking or deficient in HO‐1 on days 8, 10, and 12 of pregnancy. Both number of uNK cells and degree of vascularization were analyzed using immunohistochemistry staining. We observed a significantly higher number of uNK cells in one area of the embryo implantation site and a significantly lower number of cells in another, suggesting the uNK cells are failing to localize properly. Analysis of vascularization is currently ongoing. Since women with multiple miscarriages have been shown to down‐regulate HO‐1, confirmation that absence of HO‐1 leads to implantation site abnormalities could pave the way for future clinical treatments.
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".