Functional in vivo characterization of human monoclonal anti-D in NOD-scid mice
Bibliographic record
Abstract
The prophylaxis of the hemolytic disease of the newborn requires significant amounts of plasma-derived polyclonal human anti-D. Because of procurement problems, there is a growing interest in replacing plasma-derived anti-D by in vitro-produced human monoclonal anti-D. Hundreds of monoclonal anti-D have been prepared, but the selection of the most potent for in vivo use is difficult because it cannot be predicted by in vitro characterization. This study evaluated the possibility of using nonobese diabetic/severe combined immunodeficient (NOD-scid) mice for the in vivo evaluation of human monoclonal anti-D. Human red blood cells (RBCs) were found to circulate normally in the blood of NOD-scid mice previously injected with a physiologic amount of human immunoglobulin G (10 mg). The addition of a small amount of anti-D (1 to 5 microg) resulted in the clearance of Rh D(+) RBCs within 4 hours. The comparative testing of 8 monoclonal anti-Ds showed a wide range of potency (15% to 87%) relative to plasma-derived polyclonal anti-D. There was no strong correlation between the in vivo potency index and the immunoglobulin G isotype, affinity, or fine specificity of the antibodies. These results show the usefulness of NOD-scid mice for the initial in vivo screening of human monoclonal anti-D before testing the most active antibodies in clinical trials done in human volunteers.
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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) | 0.000 | 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 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".