Invariant NKT Cells Preferentially Modulate the Function of CD8α+ Dendritic Cell Subset in Inducing Type 1 Immunity against Infection
Bibliographic record
Abstract
Although studies suggest that NKT cell (NKT) activation modulates the function of dendritic cells (DCs) in inducing T cell responses, it is unknown whether this modulating effect is biased to a DC subset. We previously reported that NKT activation could modulate DC function in inducing protective T cell immunity to Chlamydia pneumoniae, an intracellular bacterial infection. In this study, we investigated the effect of NKT activation on DC subsets, using multiple approaches, including gene knockout mice, alpha- galactosylceramide stimulation, adoptive transfer of invariant NKT (iNKT), and functional analysis of DC subsets in both in vitro and in vivo settings. We found a preferential modulating effect of iNKTs on the CD8alpha(+) DC subset. Specifically, we found that iNKT-deficient mice, compared with wild-type (WT) mice, showed reduced CD8alpha(+) DC expansion with lower CD40 expression and IL-12 production, whereas enhancing iNKT activation in WT mice or adoptive transfer of iNKTs to Jalpha18(-/-) mice resulted in increased function of CD8alpha(+) DCs in inducing type 1 immune responses. Further, DC-iNKT coculture experiments showed a direct CD40L-dependent enhancing effect of iNKTs on IL-12p70 production by CD8alpha(+) DCs. More importantly, CD8alpha(+) DCs from Jalpha18(-/-) mice, compared with those from WT mice, showed significantly reduced ability to activate IFN-gamma-producing T cells in vitro and to induce type 1 immunity and protection in vivo. Moreover, a similar CD8alpha(+) DC subset alteration was found in the Jalpha18(-/-) mice following Leishmania major infection. Our data provide the first direct evidence that iNKTs preferentially promote the functional development of a subset of DC to generate protective immunity against infections.
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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 | 0.001 | 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 | 0.002 |
| 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".