CD11b+ Dendritic Cell–Mediated Anti–<i>Mycobacterium tuberculosis</i> Th1 Activation Is Counterregulated by CD103+ Dendritic Cells via IL-10
Bibliographic record
Abstract
Abstract Mycobacterium tuberculosis, the pathogen causing pulmonary tuberculosis (TB) in humans, has evolved to delay Th1 immunity in the lung. Although conventional dendritic cells (cDCs) are known to be critical to the initiation of T cell immunity, the differential roles and molecular mechanisms of migratory CD11b+ and CD103+ cDC subsets in anti–M. tuberculosis Th1 activation remain unclear. Using a murine model of pulmonary M. tuberculosis infection, we found that slow arrival of M. tuberculosis–bearing migratory CD11b+ and CD103+ cDCs at the draining lymph nodes preceded the much-delayed Th1 immunity and protection in the lung. Contrary to their previously described general roles in Th polarization, CD11b+ cDCs, but not CD103+ cDCs, were critically required for Th1 activation in draining lymph nodes following M. tuberculosis infection. CD103+ cDCs counterregulated CD11b+ cDC–mediated Th1 activation directly by producing the immune-suppressive cytokine IL-10. Thus, our study provides new mechanistic insights into differential Th immune regulation by migratory cDC subsets and helps to develop novel vaccines and therapies.
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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 | 0.000 |
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 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".