Identification and Characterization of A Novel APC Modulating Type 2 Immunity against Influenza Virus Infection
Bibliographic record
Abstract
Herein we describe a novel APC population in mice, designated LAPCs. LAPCs are BM-derived myeloid leukocytes, distinctive from other immune cells. As APCs, LAPCs respond to various virus infections including VACV, CBV3 and influenza A virus. Notably, influenza virus-activated LAPCs capture Ag in the lungs, and migrate into the DLN and spleen with delayed kinetics compared to DCs. In the DLN, influenza virus-activated LAPCs co-localize with T cells and selectively induce Th2 effector cell polarization by cell-cell contact-mediated modulation of GATA-3 expression. In support of a role for LAPCs in anti-influenza T2 immunity, adoptive transfer experiments revealed that influenza virus-activated LAPCs selectively augmented Th2 effector T cell responses in the DLN, increased production of anti-influenza immunoglobulin (Ig) including IgE in peripheral blood and increased levels of IL-5 and eotaxin in BAL fluid in recipient influenza infected mice. LAPC recipient mice exhibited exacerbated pulmonary pathology, with delayed viral clearance and enhanced pulmonary eosinophilia. Collectively, these results highlight the importance of LAPCs as novel immuno-modulators of T2 immunity during influenza A virus infection, which is implicated in both immunoprotection and immunopathology. Subsequently, we examined the immuno-modulatory effect of type-I IFN, specifically IFN-on the immune response against pulmonary influenza virus infection. We have provided evidence that a single dose of IFN- (1×105U) augmented DC migration but inhibited LAPC migration into the DLN. mIFN- treatment skewed the immune balance toward T1 immunity, identified as enhanced T1 effector T cell responses (Th1 and CTL) but diminished T2 effector T cell responses (Th2) in influenza virus infected mice. Finally, IFN- treated mice showed accelerated viral clearance and diminished pulmonary eosinophilia in lung tissue compared to control mice. Taken together, these results suggest that anti-influenza T1 and T2 immunity may be modulated differently by DCs and LAPCs, respectively. Furthermore, these results support the therapeutic potential of type I IFNs, especially IFN-, as an alternative antiviral to control both viral replication and immunopathology induced by influenza A virus infection in humans.
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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) | 0.001 | 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 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".