CD4 <sup>+</sup> T Cells Drive Goblet Cell Depletion during Citrobacter rodentium Infection
Bibliographic record
Abstract
Both idiopathic and infectious forms of colitis disrupt normal intestinal epithelial cell (IEC) proliferation and differentiation, although the mechanisms involved remain unclear. Recently, we demonstrated that infection by the attaching and effacing murine pathogen Citrobacter rodentium leads to a significant reduction in colonic goblet cell numbers (goblet cell depletion). This pathology depends on T and/or B cells, as Rag1(-/-) mice do not suffer this depletion during infection, instead suffering high mortality rates. To address the immune mechanisms involved, we reconstituted Rag(-/-) mice with either CD4(+) or CD8(+) T cells. Both T cell subsets increased Rag1(-/-) mouse survival during infection, with mice that received CD8(+) T cells developing colonic ulcers but not goblet cell depletion. In contrast, mice that received CD4(+) T cells showed goblet cell depletion in concert with exaggerated IEC proliferation. To define the possible involvement of T cell-derived cytokines, we infected gamma interferon receptor gene knockout (IFN-γR(-/-)) mice and wild-type mice given interleukin 17A (IL-17A) neutralizing antibodies and found that IFN-γ signaling was required for both goblet cell depletion and increased IEC proliferation. Immunostaining revealed that C. rodentium cells preferentially localized to nonhyperplastic crypts containing numerous goblet cells, whereas hyperplastic, goblet cell-depleted crypts appeared protected from infection. To address whether goblet cell depletion benefits the C. rodentium-infected host, we increased goblet cell numbers using the γ-secretase inhibitor dibenzazepine (DBZ), which resulted in greatly increased pathogen burdens and mortality rates. These results demonstrate that goblet cell depletion reflects host immunomodulation of IEC homeostasis and reflects a novel host defense mechanism against mucosal-adherent pathogens.
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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".