Splenic erythroid progenitors decrease TNF‐α production by macrophages and reduce systemic inflammation in a mouse model of T cell‐induced colitis
Bibliographic record
Abstract
Abstract In inflammatory bowel disease (IBD), inflammation can occur beyond the intestine and spread systemically causing complications such as arthritis, cachexia, and anemia. Here, we determine the impact of CD45, a pan‐leukocyte marker and tyrosine phosphatase, on IBD. Using a mouse model of T cell transfer colitis, CD25 − CD45RB high CD4 + T cells were transferred into Rag1‐deficient mice (RAGKO) and CD45‐deficient RAGKO mice (CD45RAGKO). Weight loss and systemic wasting syndrome were delayed in CD45RAGKO mice compared to RAGKO mice, despite equivalent inflammation in the colon. CD45RAGKO mice had reduced serum levels of TNF‐α, and reduced TNF‐α production by splenic myeloid cells. CD45RAGKO mice also had increased numbers of erythroid progenitors in the spleen, which had previously been shown to be immunosuppressive. Adoptive transfer of these erythroid progenitors into RAGKO mice reduced their weight loss and TNF‐α expression by splenic red pulp macrophages. In vitro, erythroid cells suppressed TNF‐α expression in red pulp macrophages in a phagocytosis‐dependent manner. These findings show a novel role for erythroid progenitors in suppressing the pro‐inflammatory function of splenic macrophages and cachexia associated with IBD.
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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 | 0.000 | 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".