Chronic <i>Trichuris muris</i> infection alters hematopoiesis and causes IFN‐γ‐expressing T‐cell accumulation in the mouse bone marrow
Bibliographic record
Abstract
Proinflammatory cytokines produced during immune responses to infectious stimuli are well‐characterized to have secondary effects on the function of hematopoietic progenitor cells in the BM. However, these effects on the BM are poorly characterized during chronic infection with intestinal helminth parasites. In this study, we use the Trichuris muris model of infection and show that Th1 cell‐associated, but not acute Th2 cell‐associated, responses to chronic T. muris infection cause a major, transient expansion of CD48−CD150− multipotent progenitor cells in the BM that is dependent on the presence of adaptive immune cells and IFN‐γ signaling. Chronic T. muris infection also broadly stimulated proliferation of BM progenitor cells including CD48−CD150+ hematopoietic stem cells. This shift in progenitor activity during chronic T. muris infection correlated with a functional increase in myeloid colony formation in vitro as well as neutrophilia in the BM and peripheral blood. In parallel, we observed an accumulation of CD4+, CD8+, and CD4−CD8− (double negative) T cells that expressed IFN‐γ, displaying activated and central memory‐type phenotypes in the bone marrow during chronic infection. Thus, these results demonstrate that Th1 cell‐driven responses in the intestine during chronic helminth infection potently influence upstream hematopoietic processes in the BM via IFN‐γ.
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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".