CEACAM1: a key regulator of vascular permeability
Bibliographic record
Abstract
Carcinoembryonic antigen cell adhesion molecule-1 (CEACAM1) is an immunoglobulin-like cell surface co-receptor expressed on epithelial, hematopoietic and endothelial cells. CEACAM1 functions as an adhesion molecule, mainly binding to itself or other members of the CEA family. We and others have previously shown that CEACAM1 is crucial for in vivo vascular integrity during ischemic neo-vascularization. Here, we have deciphered the roles of CEACAM1 in normal and pathological vascularization. We have found that Ceacam1-/- mice exhibit a significant increase in basal vascular permeability related to increased basal Akt and endothelial nitric oxide synthase (eNOS) activation in primary murine lung endothelial cells (MLECs). Moreover, CEACAM1 deletion in MLECs inhibits VEGF-mediated nitric oxide (NO) production, consistent with defective VEGF-dependent in vivo permeability in Ceacam1-/- mice. In addition, Ceacam1-null mice exhibit increased permeability of tumor vasculature. Finally, we demonstrate that CEACAM1 is tyrosine-phosphorylated upon VEGF treatment in a SHP-1- and Src-dependent manner, and that the key residues of the long cytoplasmic domain of CEACAM1 are crucial for CEACAM1 phosphorylation and NO production. This data represents the first report, to our knowledge, of a functional link between CEACAM1 and the VEGFR2/Akt/eNOS-mediated vascular permeability pathway.
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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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".