Microbial intestinal dysbiosis drives long-term allergic susceptibility by sculpting an ILC2–B1 cell–innate IgE axis
Bibliographic record
Abstract
BACKGROUND: The abundance and diversity of intestinal commensal bacteria influence systemic immunity with impact on disease susceptibility and severity. For example, loss of short chain fatty acid (SCFA)-fermenting bacteria in early life (humans and mice) is associated with enhanced type 2 immune responses in peripheral tissues including the lung. OBJECTIVE: Our goal was to reveal the microbiome-dependent cellular and molecular mechanisms driving enhanced susceptibility to type 2 allergic lung disease. METHODS: We used low-dose vancomycin to selectively deplete SCFA-fermenting bacteria in wild-type mice. We then examined the frequency and activation status of innate and adaptive immune cell lineages with and without SCFA supplementation. Finally, we used ILC2-deficient and signal transducer and activator of transcription 6 (STAT6)-deficient transgenic mouse strains to delineate the cellular and cytokine pathways leading to enhanced allergic disease susceptibility. RESULTS: Mice with vancomycin-induced dysbiosis exhibited a 2-fold increase in lung ILC2 primed to produce elevated levels of IL-2, -5, and -13. In addition, upon IL-33 inhalation, mouse lung ILC2 displayed a novel ability to produce high levels of IL-4. These expanded and primed ILC2s drove B1 cell expansion and IL-4-dependent production of IgE that in turn led to exacerbated allergic inflammation. Importantly, these enhanced lung inflammatory phenotypes in mice with vancomycin-induced dysbiosis were reversed by administration of dietary SCFA (specifically butyrate). CONCLUSION: SCFAs regulate an ILC2-B1 cell-IgE axis. Early-life administration of vancomycin, an antibiotic known to deplete SCFA-fermenting gut bacteria, primes and amplifies this axis and leads to lifelong enhanced susceptibility to type 2 allergic lung disease.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| 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".