Neonatal Tolerization with Bacterial Antigens Stimulates an Expansion of CD11b+ Leukocytes with Inhibitory Activity in IL-10 Gene-Deficient Mice (39.38)
Bibliographic record
Abstract
Abstract Tolerance to antigens of the endogenous flora can be induced by intra-peritoneal injection of 100 microliter of a sterile lysate solution (2mg/ml protein) prepared from fecal material of conventionally-raised mice with enteric micro flora into neonates. In IL-10 gene-deficient mice this treatment results in delayed onset of intestinal inflammation and reduced levels of pro-inflammatory cytokine release with a concomitant increase in CD11b+ leukocytes in spleen. To investigate whether these CD11b+ leukocytes play an active role in the reduction of bacteria-induced immune responses we isolated CD11b+ leukocytes from spleens of 20 week old mice that were tolerized to bacterial antigens as neonates and added these cells in limited dilutions to spleen cell cultures stimulated with bacterial antigens. We found that in bacterial antigen-tolerized, Il-10 gene-deficient mice the amount of CD11b+ leukocytes in spleen doubled compared to the amount found in untreated mice and mice injected with germ-free lysates. Sorted CD11b+ spleen cells from tolerized mice were able to inhibit antigen-stimulated spleen cell proliferation and release of pro-inflammatory cytokines in a concentration-dependent manner suggesting that CD11b+ cells play a regulatory role in the response to bacterial antigens in this IBD model. This work is supported by the Crohn’s and Colitis Foundation of Canada.
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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 | 0.001 | 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".