CD34 mediates intestinal inflammation in Salmonella-infected mice
Bibliographic record
Abstract
CD34 is a highly glycosylated sialomucin expressed on a variety of cells, ranging from vascular endothelial cells to haematopoietic stem cells. Depending on its glycosylation state, CD34 has been shown to promote or inhibit cell adhesion and migration; however, a functional role for CD34 in the gut has not been determined. Using a model of Salmonella-induced gastroenteritis, we investigated the role of CD34 in the context of infection. Upon oral infection, the number of CD34+ cells detected in the submucosa, vascular endothelium and lamina propria significantly increased in S. Typhimurium-infected C57Bl/6 mice. The pathology of S. Typhimurium-infected C57Bl/6 mice was characterized by recruitment of neutrophils to the site of inflammation, submucosal oedema and crypt destruction. In contrast, Cd34(-/-) mice showed a delayed pathology, a defect in inflammatory cell migration into the intestinal tissue and enhanced survival. Importantly, this was not due to a lack of chemotactic signals in Cd34(-/-) mice as these mice had either similar or significantly higher levels of pro-inflammatory cytokines and chemokines post infection when compared with infected C57/Bl6 control mice. In summary, we demonstrate a novel role for CD34 in enhancing migration of inflammatory cells and thereby exacerbating host-mediated immunopathology in the intestine of S. Typhimurium-infected mice.
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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 | 0.001 | 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".