FPR1 does not mediate neutrophil infiltration in experimental colitis
Bibliographic record
Abstract
One hallmark of the inflammatory bowel diseases is the infiltration of neutrophils (PMN) into the mucosa. The mechanism behind this infiltration is unclear but bacterial N‐formyl peptides are candidates since these are potent chemoattractants and activating factors for PMN. We investigated this hypothesis by inducing colitis in mice deficient for the formyl peptide receptor, FPR1. FPR1‐/‐ and wild type (WT) mice were administered dextran sodium sulphate (DSS) through their drinking water for 5 days followed by one day of pure water (acute phase) or 4 days of water (recovery phase), or for 2 DSS cycles (chronic phase) with the second cycle commencing on day 22. During acute colitis FPR1‐/‐ mice lost up to 5% of their starting body weight whereas WT mice lost up to 20%. However, the histopathology was similar between the two groups at both the acute and recovery phase points. This included ulcers, PMN infiltration, and loss of crypt architecture. In contrast, during the chronic phase FPR1‐/‐ mice experienced weight loss of up to 20%, greater clinical illness, and 15% shorter colons than WT mice, all indications of a more severe disease. Whether this is reflected in differences in the histopathology remains to be evaluated. We conclude that FPR1 is not necessary for PMN infiltration into the acutely inflamed colon; however, it may play a role in chronic colitis. Funded by the CCFC and an IWK Health Centre Fellowship to SMF.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 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".