Negative regulation of DSS-induced experimental colitis by PILRα
Bibliographic record
Abstract
Inflammatory bowel disease is thought to be a complex multifactorial disease, in which an increased inflammatory response plays an important role. Paired immunoglobulin-like type 2 receptor α (PILRα), well conserved in almost all mammals, is an inhibitory receptor containing immunoreceptor tyrosine-based inhibitory motifs in the cytoplasmic domain. PILRα is mainly expressed on myeloid cells and plays an important role in the regulation of inflammation. In the present study, we investigated the function of PILRα in inflammatory bowel disease using PILRα-deficient mice. When mice were orally administered dextran sulfate sodium (DSS), colonic mucosal injury and inflammation were significantly exacerbated in DSS-treated PILRα-deficient mice compared with wild-type (WT) mice. Flow cytometric analysis revealed that neutrophil and macrophage cell numbers were higher in the colons of DSS-treated PILRα-deficient mice than in those of WT mice. Blockade of CXCR2 expressed on neutrophils using a CXCR2 inhibitor decreased the severity of colitis observed in PILRα-deficient mice. These results suggest that PILRα negatively regulates inflammatory colitis by regulating the infiltration of inflammatory cells such as neutrophils and macrophages.
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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".