Nod1 and Nod2 Enhance TLR-Mediated Invariant NKT Cell Activation during Bacterial Infection
Bibliographic record
Abstract
Invariant NKT (iNKT) cells act at the crossroad between innate and adaptive immunity and are important players in the defense against microbial pathogens. iNKT cells can detect pathogens that trigger innate receptors (e.g., TLRs, Rig-I, Dectin-1) within APCs, with the consequential induction of CD1d-mediated Ag presentation and release of proinflammatory cytokines. We show that the cytosolic peptidoglycan-sensing receptors Nod1 and Nod2 are necessary for optimal IFN-γ production by iNKT cells, as well as NK cells. In the absence of Nod1 and Nod2, iNKT cells had a blunted IFN-γ response following infection by Salmonella enterica serovar Typhimurium and Listeria monocytogenes. For Gram-negative bacteria, we reveal a synergy between Nod1/2 and TLR4 in dendritic cells that potentiates IL-12 production and, ultimately, activates iNKT cells. These findings suggest that multiple innate pathways can cooperate to regulate iNKT cell activation during bacterial 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) | 0.000 | 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) | 0.002 | 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".