The Role of Innate Lymphoid Cells in Immune Regulation and Fetal Protection During Allogeneic Pregnancies
Bibliographic record
Abstract
Abstract Maternal immune tolerance against paternal alloreactive antigens expressed by the fetus is essential in the development of successful pregnancies. Disturbances of immunoregulatory mechanisms by genetic modifications or viral infections results in aberrant placental development, intrauterine growth restriction (IUGR), and fetal loss. Mechanisms of immune regulation during pregnancy has not been fully elucidated. Our lab and others were the first to uncover a novel subset of regulatory innate lymphoid cells (ILCregs) that suppressed immune responses in chronic viral infections, organ transplant rejection, and cancer. In this study, we identified a subset of decidual NK1.1+ ILC1s in healthy murine pregnancies that expressed surface markers and intracellular cytokines reminiscent of an ILCreg phenotype. Interestingly, these characteristics were more abundant early in gestation compared to mid-late gestation. Furthermore, depletion of NK1.1+ ILC1s using neutralizing antibodies induced fetal destruction in allogeneic (C57BL/6J female X BALB/c male), but not in syngeneic pregnancies (C57BL/6J female X C57BL/6J male). This highlights the importance of allogenicity in fetal destruction in the absence of NK1.1+ ILC1s. Decidual ILC1s have been shown to promote trophoblast invasion, placental angiogenesis, and in utero fetal growth during pregnancy. However, we are one of the first groups to thoroughly investigate potential immunosuppressive role of decidual ILC1s to prevent immune-mediated fetal destruction. Further elucidation of immune tolerance mechanisms during pregnancy may uncover novel therapeutic targets for pregnancy-related complications such as preeclampsia and spontaneous miscarriages.
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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 | 0.000 |
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".