B cell-derived IL-10 is an autocrine survival factor and maintains immune homeostasis in the spleen
Bibliographic record
Abstract
Abstract IL-10 is a key anti-inflammatory cytokine and IL-10 KO mice develop colitis. Mice with a global IL-10 KO or constitutive B cell-specific IL-10 KO (CD19-Cre.IL-10fl/fl) have otherwise normal B cells. Surprisingly, we found that within 14-21 days, mice with a tamoxifen (Tam) -induced B cell specific deletion of IL-10R (hCD20-ERT2-Cre.IL-10Rfl/fl) had a 50% decrease in splenic B cell number vs. Cre-controls. B cell frequency was unchanged due to a concomitant fall in both T cells and innate cells resulting in a 58% fall in splenocyte number. Plasma cells, CD4+ and CD8+ T cells, and neutrophils were disproportionately decreased, resulting in a 20-40% reduction in frequency. A similar but somewhat less severe loss of B cells/splenocytes was seen in Tam-treated hCD20-ERT2-Cre.IL-10fl/fl mice. Adoptive transfer competition studies in immunized µMT hosts treated with Tam revealed a selective loss of hCD20-ERT2-Cre.IL-10fl/fl vs. CD19-Cre.IL-10fl/fl B cells. Furthermore, by day 21, acute loss of B cell IL-10 or IL-10R resulted in ~20% weight loss and colon length, consistent with colitis (pathology pending). In conclusion, IL-10 is an autocrine B cell survival factor and acute loss of B cell IL-10 or IL-10R is associated with a marked contraction of B cells and associated collapse in T cells and innate cells in the spleen, resulting in immune dysregulation and colitis. This requirement for B cell IL-10 has not been previously recognized because it is compensated for developmentally.
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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".