Germinal responses in murine Peyer’s Patches are regulated by a subpopulation of microbiota-induced IL-21high Tfh cells
Bibliographic record
Abstract
Abstract IL-21 is the signature cytokine produced by T follicular helper (Tfh) cells and is vital in driving both the germinal centre (GC) reaction and formation of high affinity antibodies. However, the degree of Tfh cell heterogeneity and function is not fully understood. By utilising a novel IL-21eGFP reporter mouse carrying a diphtheria toxin receptor (DTR)-enhanced green fluorescent protein (eGFP) fusion gene, we identified a subpopulation of highly differentiated Tfh cells within Peyer’s Patches (PPs). This subpopulation demonstrated highest expression of the key Tfh molecules - Bcl6, ICOS and IL-21, and was found within germinal centres and surrounding B cell areas. TCRb repertoire analysis of GFP+Tfh cells revealed that these were polyclonal and closely related to GFP− Tfh cells, indicating selection by common antigens. In vitro stimulation of IL-21eGFP CD4+ cells in the presence of IL-6, TGFb and retinoic acid led to the induction of GFP+ cells that did not co-express IL-17 or Foxp3. Treatment of IL-21eGFP mice with antibiotics led to an ablation of PP GFP+CD4+ cells meaning that the presence of these cells relies on an intact bacterial microbiota. Furthermore, both polyclonal CD4+ T cell and B cell activation is necessary to support the differentiation of GFP+Tfh cells. Finally, GFP+ cell depletion resulted in a reduced frequency of PP GC B cells and IgG1+ cells and small but significant shifts in gut microbiome composition. Therefore, using a new IL-21-reporter mouse we have identified a subpopulation of Tfh cells induced by the gut microbiota and necessary for optimal PP GC and IgG1 responses.
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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 | 0.001 |
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".