IL-33 Signaling Regulates Innate and Adaptive Immunity to <i>Cryptococcus neoformans</i>
Why this work is in the frame
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Bibliographic record
Abstract
Susceptibility to progressive infection with the fungus Cryptococcus neoformans is associated with an allergic pattern of lung inflammation, yet the factors that govern this host response are not clearly understood. Using a clinically relevant mouse model of inhalational infection with virulent C. neoformans H99, we demonstrate a role for IL-33-dependent signaling in host immune defense. Infection of BALB/c mice with 10(4) CFU of C. neoformans H99 caused a time-dependent induction of IL-33 with accumulation of type 2 pulmonary innate lymphoid cells and alternatively activated macrophages in the lungs as well as Th2-polarized CD4(+) T cells in draining lymph nodes. IL-33R subunit T1/ST2-deficient (T1/ST2(-/-)) mice infected with C. neoformans H99 had improved survival with a decreased fungal burden in the lungs, spleen, and brain, compared with wild-type mice. Signaling through T1/ST2 was required for the accumulation and early production of IL-5 and IL-13 by lung type 2 pulmonary innate lymphoid cells. Further analysis of T1/ST2(-/-) mice revealed increased fungicidal exudate macrophages in the lungs and decreased C. neoformans-specific Th2 cells in the mediastinal lymph nodes. T1/ST2 deficiency also diminished goblet cell hyperplasia, mucus hypersecretion, bronchoalveolar lavage eosinophilia, alternative activation of macrophages, and serum IgE. These observations demonstrate that IL-33-dependent signaling contributes to the expansion of innate type 2 immunity and subsequent Th2-biased lung immunopathology that facilitates C. neoformans growth and dissemination.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| 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 | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it