Points of Control Exerted along the Macrophage-Endothelial Cell-Polymorphonuclear Neutrophil Axis by PECAM-1 in the Innate Immune Response of Acute Colonic Inflammation
Bibliographic record
Abstract
PECAM-1 is expressed on endothelial cells and leukocytes. Its extracellular domain has been implicated in leukocyte diapedesis. In this study, we used PECAM-1(-/-) mice and relevant cells derived from them to assess the role of PECAM-1 in an experimental model of acute colonic inflammation with a predominant innate immune response, i.e., 2,4,6-trinitrobenzine sulfonic acid (TNBS). Using chimeric approaches, we addressed the points of control exerted by PECAM-1 along the macrophage-endothelial cell-polymorphonuclear neutrophil (PMN) axis. In vivo, TNBS-induced colitis was ameliorated in PECAM-1(-/-) mice, an event attributed to PECAM-1 on hematopoietic cells rather than to PECAM-1 on endothelial cells. The in vivo innate immune response was mimicked in vitro by using a construct of the vascular-interstitial interface, i.e., PMN transendothelial migration was induced by colonic lavage fluid (CLF) from TNBS mice or macrophages (MPhi) challenged with CLF. Using the construct, we confirmed that endothelial cell PECAM-1 does not play a role in PMN transendothelial migration. Although MPhi activation (NF-kappaB nuclear binding) and function (keratinocyte-derived chemokine production) induced by CLF was diminished in PECAM-1(-/-) MPhi, this did not affect their ability to promote PMN transendothelial migration. By contrast, PECAM-1(-/-) PMN did not adhere to or migrate across endothelial cell monolayers in response to CLF. Further, as compared with PECAM-1(+/+) PMN, PECAM-1(-/-) PMN were less effective in orientating their CXCR2 receptors (polarization) in the direction of a chemotactic gradient. Collectively, our findings indicate that PECAM-1 modulation of PMN function (at a step before diapedesis) most likely contributes to the inflammation in a colitis model with a strong innate immune component.
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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".