Differential roles for Irgm1 in myeloid cells for immune resistance to pathogenic bacteria
Bibliographic record
Abstract
IRGM proteins are associated with increased susceptibility to Crohn's disease, mycobacterial infections, sepsis, and other inflammatory diseases, but the cells in which they function in vivo have not been delineated. To address this, mice with conditional deletions of Irgm1 were created and challenged with model pathogens. Irgm1fl/flLyz2-Cre+ mice (a myeloid deletion) displayed marked susceptibility to infections with Salmonella typhimurium, Listeria monocytogenes, and Toxoplasma gondii, paralleling those of global Irgm1-/- mice. However, infections of Irgm1fl/flLyz2-Cre+ mice with Citrobacter rodentium showed no increase in susceptibility, contrasting with marked increases in Irgm1fl/flVav-Cre+ mice (a hematopoietic deletion). Macrophages from Irgm1fl/flLyz2-Cre+ mice displayed pathologies present in macrophages from global Irgm1-/- mice, validating the conditional deletion in myeloid cells. These results suggest that Irgm1 functioning in myeloid cells is critical for immune resistance to intracellular pathogens, while Irgm1 functioning in additional hematopoietic population(s) is required for resistance to extracellular pathogens in the intestinal lumen.
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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 | 0.000 |
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".