Nod2-deficient CD4+ T cells protect against <i>Candida albicans</i> infection
Bibliographic record
Abstract
Abstract Nucleotide-binding oligomerization domain-containing protein 2 (Nod2) is a pattern recognition receptor known to promote anti-bacterial immunity yet its function in fungal disease is less understood. Here we sought to investigate the role of Nod2 in regulating fungal infection. Our results demonstrate that Nod2−/− mice infected with 105 (LD50) Candida albicans had increased survival and reduced kidney pathology compared to WT mice, indicating an important role for Nod2-deficiency in protection against infection. In corroboration, Nod2−/− mice had increased fungal clearance in the kidney within 24–72 h post-infection. T cell-deficient Rag−/− or Nod2−/− Rag−/− mice infected with C. albicans had similar fungal burdens, indicating a cellular role for Nod2 outside of innate and non-hematopoietic cells. In support, Nod2−/− mouse kidneys had increased frequencies of CD4+ T cells 48h post-infection, indicating a potential protective function for Nod2−/− T cells. To evaluate a putative T cell-intrinsic function of Nod2 we infected Rag1−/− mice reconstituted with CD4+ T cells from conditional knockout mice deficient in Nod2 in CD4+ T cells (Nod2fl/fl/CD4-cre) or control mice (CD4-cre). Mice harboring CD4+ T cells from Nod2fl/fl/CD4-cre mice had decreased fungal burden within 48 h and increased Th17 cells in the kidneys akin to the global Nod2−/− mice. Protection conferred by Nod2-deficient CD4+ T cells was abrogated by neutralization of IL-17, indicating the functional importance of the Nod2/IL-17 response in CD4+ T cells in C. albicans pathogenesis. Cumulatively, our data suggest that in opposition to the known protective role of Nod2 in bacterial infections, T cell-intrinsic Nod2 promotes fungal infection.
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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) | 0.001 | 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 | 0.001 | 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".