Prevention of hemolytic disease of the fetus and newborn: what have we learned from animal models?
Bibliographic record
Abstract
PURPOSE OF REVIEW: This review aims to highlight recent advances in our understanding of how anti-red blood cell (RBC) antibodies prevent erythrocyte immunization with an emphasis on new murine models. RECENT FINDINGS: New murine models with clinically relevant human erythrocyte antigens have been used to understand the alloimmunization process and its inhibition. The search to elucidate the mechanism of action of IgG-mediated inhibition of erythrocyte alloimmunization has provided new evidence in support of a potential role for epitope masking, immune deviation and/or antigen modulation in this process. In addition, recent evidence suggests that blends of monoclonal antibodies targeting nonoverlapping epitopes on the RBC surface can improve the efficacy of monoclonal antibodies approaching that of polyclonal IgG. SUMMARY: Animal models with defined alloantigens have helped to identify important mechanistic components that lead to alloimmunization and its inhibition by IgG. A better understanding of the underlying mechanisms leading to hemolytic disease of the fetus and newborn is required to develop the most effective prevention strategies for future patients.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 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) | 0.000 | 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 teacher head, 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".