The development og CD138high Breg in AAD is dependent on Semaphorin 4C (IRM10P.614)
Bibliographic record
Abstract
Abstract We have previously found that mice with Semaphorin 4C (Sema4C) deficient B cells exhibited exaggerated airway damage and pulmonary inflammation during allergic airways disease (AAD). We aimed to determine the mechanisms by which Sema4C on B-cells regulates AAD. Following allergen exposure, Sema4C-/- AAD mice had significantly fewer CD138high IL-10+ B cells (CD138high Breg) and significantly increased CD138high IL4+ B cells in spleen. In vitro, Sema4C-/- B cells consistently failed to differentiate into CD138high Breg under Th2 culture conditions. Adoptive transfer of Sema4C-/- plasma cells induced exacerbated Th2 responses, with airway eosinophilia and increased IL-4+ inflammatory cell infiltrates in the lungs. In contrast, transfer of CD138high Breg to WT mice with AAD dramatically alleviated airway inflammation. Co-culturing Sema4C-/- B cells with Sema4C transfected cells (Hek293-Sema4C) corrected impaired CD138high Breg development. Co-culture of B cells with Hek293-Sema4C decreased IgE production for both WT and Sema4C-/- B cells. Sema4C is essential for the development of CD138high Breg and may play a crucial role in the auto-regulation of B cells in allergic inflammation.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.002 |
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".