PECAM‐1 modulation of immune cell function may play a role in hapten‐induced colitis (trinitrobenzyne sulphonic acid; TNBS)
Bibliographic record
Abstract
PECAM‐1 is an important adhesion molecule implicated in neutrophil (PMN) transendothelial migration. We have previously shown that TNBS‐induced colitis (colonic mucosal inflammation and injury) is diminished in PECAM‐1 deficient (PECAM −/− ) mice. The aim of the present study was to evaluate potential mechanisms by which PECAM‐1 may play a role in TNBS colitis. Two reciprocal PECAM‐1 chimeras were generated: PECAM‐1 −/− bone marrow (BM) transplanted into wild type irradiated recipient mice (KO to WT; PECAM‐1 localized to recipient endothelial, and other parenchymal, cells) and wild type BM transplanted into PECAM‐1 −/− mice (WT to KO; PECAM‐1 localized to BM‐derived cells). The TNBS‐induced colitis was diminished only in the KO to WT mice; indicating that endothelial cell PECAM‐1 did not play an important role in the colitis. Depletion of colonic macrophages (Mϕ) diminished the TNBS‐induced colitis. Colonic lavage fluid from TNBS‐treated mice increased PMN transendothelial migration; an affect also noted with PECAM‐1 −/− endothelial cells, but not with PECAM‐1 −/− PMN. CLF increased nuclear NFκB and production of the chemokine, KC, from Mϕ isolated from wild type mice, but not Mϕ from PECAM‐1 −/− mice. Collectively, PECAM‐1 may play an important role in TNBS‐induced colitis, not via modulation of endothelial cell function, but by modulating PMN and Mϕ function. Sponsored by CIHR MOP 13668 and MGC 12816.
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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".