Regulation of Host Immune Responses by Toll-Interacting Protein During Citrobacter rodentium Infection
Bibliographic record
Abstract
Diarrheal diseases are a threat to human health, being the second leading cause of death in children. Diarrheic enterocolitis can be caused by attaching/effacing (A/E) pathogens like enteropathogenic and enterohemorrhagic Escherichia coli (EPEC and EHEC). Citrobacter rodentium (CR), a murine A/E pathogen, mimics EPEC and EHEC infections, causing goblet cell depletion, crypt hyperplasia, and leukocyte infiltration into the colonic mucosa. Epithelial cells and innate immune cells detect CR through TLR receptors and increase their production of inflammatory cytokines to limit CR colonization. B cells and CD4+ T cells are activated later in the infection and are critical for pathogen clearance. Toll-interacting protein (Tollip) is an intracellular mediator of several immune mechanisms. Tollip negatively regulates TLR activation, and acts as a mediator of autophagy and endosomal transport. These mechanisms are involved in processes such cytokines expression, antigen presentation and mucus secretion. Although Tollip’s regulation of immune responses is well established, its role in A/E infections remains elusive. This thesis aimed to test the hypothesis that Tollip plays a protective role in CR infection. Using wild-type (WT) and Tollip-deficient (Tollip-/-) mice we demonstrated that lack of Tollip did not affect CR colonization, with both groups exhibiting peak bacterial loads at 8-10 days post-challenge (DPC). While there were no observable differences in colitis levels or apoptotic cells numbers, Tollip-/- mice exhibited excessive pro-inflammatory cytokine expression, including IFNγ, IL-1β and TNFα, likely due to unrestricted TLR activation. No changes in mucus production were observed between groups, but fucose levels in the mucus were lower in the absence of Tollip, probably due to differences in the microbiota. Additionally, Tollip-/- mice exhibited delayed CR clearance, concomitant with increased frequencies of Th17, dendritic cells and neutrophils, and decreased B cell and regulatory T cell populations. These results indicate that adaptive immunity activation may be delayed in the absence of Tollip. This delay may result from impaired endosomal transport, leading to deficient antigen presentation. Moreover, increased cell proliferation in the lamina propria of WT mice after clearance may reflect stromal cell proliferation and tissue repair, which were also delayed in the absence of Tollip. Overall, this thesis demonstrates that Tollip plays a protective role in CR infection by limiting the overexpression of pro-inflammatory cytokines and promoting bacterial clearance.
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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".