TNF regulates leukocyte–endothelial cell interactions and microvascular dysfunction during immune complex‐mediated inflammation
Bibliographic record
Abstract
1. The aim of this study was to assess directly the role of TNF in immune complex-induced leukocyte-endothelial cell interactions and microvascular dysfunction. 2. Intravital microscopy was used to examine immune complex-induced leukocyte rolling, adhesion and emigration and microvascular permeability in cremasteric postcapillary venules in wild-type and TNF(-/-) mice. The reverse passive Arthus (RPA) reaction was used to localize immune complex formation to the cremaster muscle. 3. In wild-type mice, immune complex deposition induced a reduction in leukocyte rolling velocity and increases in leukocyte adhesion and emigration. In TNF(-/-) mice, the immune complex-induced reduction in leukocyte rolling velocity was significantly attenuated, and leukocyte adhesion and emigration were also significantly reduced relative to responses in wild-type mice. 4. The alterations in TNF(-/-) mice were associated with decreased expression of endothelial P-selectin and VCAM-1, and an absence of E-selectin-dependent rolling normally seen in wild-type mice at the peak of the response. In addition, the level of immune complex-induced microvascular permeability was attenuated in TNF(-/-) mice. 5. These findings demonstrate that in immune complex-induced inflammation, TNF promotes leukocyte rolling and adhesive interactions, and entry of leukocytes into sites of immune complex deposition, in part via the increased expression and/or function of endothelial P-selectin, E-selectin and VCAM-1. In addition, this increase in leukocyte recruitment mediated by TNF correlates directly with an increase in microvascular injury.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.000 |
| 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 teacher head, 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".