mPDCA‐1 Ag reveals a novel antigen presenting cell modulating Th2 type immune responses against influenza virus infection
Bibliographic record
Abstract
Objectives: Here, we have identified a novel immune cell population expressing mPDCA‐1 Ag in lymphoid tissues, which are mPDCA1 + CD11c − TcRß − B220 − . Studies were conducted to investigate the in vivo function of this cell population in the context of influenza virus infection. Methods: B6 mice were infected with A/WSN/33 influenza virus by intranasal inoculation. The subsequent cellular responses of the mPDCA1 + CD11c − TcRß − B220 − cells were monitored by FACS‐analysis. Results: Study revealed that these cells are APCs responding to viral infection. Pulmonary infection with A/WSN/33 virus stimulated these cells to up‐regulate the surface expression of MHC‐II and co‐stimulatory molecules. Influenza virus infection induced the migration of this cell into infected lungs, spleen and DLN. In the DLN, mPDCA1 + CD11c − TcRß − B220 − cells presented viral antigens to CD4 + T cells. Influenza virus activated mPDCA1 + CD11c − TcRß − B220 − cells also produced cytokines including IL‐25, IL‐2 and IL‐4 in lungs and DLN. Notably, ex vivo studies revealed that influenza virus activated mPDCA1 + CD11c − TcRß − B220 − cells induced the generation of Th2 effector T cells from antigen primed CD4 + T cells in the DLN. Conclusion: These results suggest that a newly described mPDCA1 + CD11c − TcRß − B220 − cell population may regulate a Th2 type immune response against pulmonary influenza virus 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".