Interleukin‐1β Reduces Transcellular Monocyte Diapedesis and Compromises Endothelial Adherens Junction Integrity
Bibliographic record
Abstract
OBJECTIVE: Diapedesis occurs through endothelial cell-cell junctions (paracellular) or through individual endothelial cells without disrupting junctions (transcellular). While in vitro studies have provided considerable insight into mechanisms controlling paracellular diapedesis, little is known about what regulates transcellular diapedesis. The authors investigated whether transcellular diapedesis is susceptible to IL-1beta exposure of the endothelium. METHODS: Laser scanning confocal microscopy and biochemical analysis were used to determine the effect of IL-1beta pretreatment of the endothelium on adherens junctional morphology and monocyte transcellular diapedesis in cocultures of human peripheral blood monocytes and coronary artery endothelial cells. RESULTS: IL-1beta pretreatment caused a 40% decrease in the number of migrating monocytes that used a transcellular route of diapedesis, and resulted in elongate endothelial cell morphology, a reorganization of the F-actin cytoskeleton, and a significant decrease in transendothelial electrical resistance. In IL-1beta treated monolayers, VE-cadherin and its associated catenins were distributed in a punctate pattern in comparison to the lacy pattern seen in control monolayers. Coimmunoprecipitation of VE-cadherin molecular assemblies revealed that IL-1beta-mediated changes in distribution were associated with a decrease in the presence of cadherin/catenin complexes in the detergent insoluble fraction. CONCLUSIONS: IL-1beta-induced rearrangement of interendothelial adherens junctions facilitates paracellular diapedesis at the expense of transcellular diapedesis.
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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".