Breastmilk antibody isotypes differentially protect against neonatal rotavirus infection and modulate the timing and clonal architecture of offspring B cell responses
Bibliographic record
Abstract
ABSTRACT Mother-to-offspring transfer of antibodies protects newborns during the critical phase of early life, preventing both infection and inflammation. Whether and how pre-existing passive immunity actively shapes immune memory formation in neonates remains unclear. Using a murine neonatal Rotavirus infection model in combination with cross-foster approaches and genetic models, we disentangled the contribution of maternal IgA and IgG to neonatal immune outcomes. While breastmilk antigen specific IgA is responsible for protection from Rotavirus infection, antigen specific IgG delays pup-intrinsic humoral immune induction to after weaning. Importantly, pre-existing maternal immunity delays and constrains, rather than ablates, long term humoral immunity. Together, our data move beyond a binary view of passive immunity as protective versus inhibitory, providing a more nuanced understanding in which breastmilk antibodies actively program the neonatal response for optimal immediate protection and long-term immune education in the growing organism.
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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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".