Regenerating islet-derived III-gamma regulates pulmonary Th17 immunity by altering the gut microbiome (P3164)
Bibliographic record
Abstract
Abstract Commensal microbes are critical for the development of intestinal lymphoid tissues, but little is known about how they shape systemic immunity. Lung infection with Aspergillus fumigatus induces a potent IL-17 response from T cells. Vancomycin drinking water diminished lung il17a expression during infection, demonstrating a role for gram-positive commensals in amplifying pulmonary immunity. Since RegIIIγ is an intestinal anti-microbial factor that targets gram-positive bacteria, we hypothesized that it would decrease lung Th17 cytokine expression, similar to the effects of oral vancomycin. To test this, RegIIIγ-/- mice and C57BL/6 (WT) mice were infected with A. fumigatus, and lung cytokines were analyzed two days later. RegIIIγ-/- mice had elevated expression of il17a, il17f and il22, and this was positively correlated with intestinal colonization by segmented filamentous bacteria. Further, reconstitution of il22-/- mice with recombinant RegIIIγ by oral gavage decreased steady-state IL-17+ γδ T cells in the lung. To test if RegIIIγ regulates lung Th17 priming by interacting with intestinal microbiota, mice were treated with vancomycin water and then immunized with OVA plus cholera toxin. Notably, antibiotic treatment reduced lung Th17 numbers in RegIIIγ-/- mice to the level observed in WT mice. These data demonstrate that modulating the expression of an intestinal anti-bacterial lectin can have profound effects on pulmonary immunity by altering the gut microbiome.
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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".