Secretory IgA in breast milk protects against asthma through modulation of the gut microbiota
Bibliographic record
Abstract
Asthma susceptibility is linked to dysbiosis in early-life gut microbiota, and the antibody secretory immunoglobulin (Ig)A (SIgA) is a key determinant of gut microbiota composition. SIgA is obtained through breast milk during the critical early-life window. We use a mouse model of SIgA deficiency and the house dust mite (HDM) model of asthma to elucidate the role of maternal SIgA in modulating the early-life gut microbiota and asthma protection. Mice that do not receive maternal SIgA display a transient bloom of segmented filamentous bacteria (SFB) in the small intestine during the early post-weaning period. Mice that do not receive maternal SIgA also display elevated T helper type 17 (Th17) cell activation in the intestine, which persists into adulthood and is associated with more severe inflammation in response to the HDM model of asthma. This study demonstrates a mechanism by which breast-milk-derived SIgA influences immune development and asthma susceptibility by modulating the early-life gut microbiota.
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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) | 0.001 | 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".