Cytokine stimulated vascular cell adhesion molecule-1 (VCAM-1) ectodomain release is regulated by TIMP-3
Bibliographic record
Abstract
OBJECTIVES: Vascular cell adhesion molecule-1 (VCAM-1) is a cell surface adhesion molecule involved in the recruitment of leukocytes to endothelial cells on arterial walls during the pathogenesis of atherosclerosis. The soluble ectodomain of VCAM-1 (sVCAM-1) is proteolytically released from the cell surface into the circulation, a process which is up-regulated in patients with cardiovascular or inflammatory disease. Here we investigate mechanisms involved in sVCAM-1 generation in response to cytokine stimulation. METHODS: VCAM-1 ectodomain release into the conditioned media of MCEC-1 murine endothelial cells and cells grown from primary aortic explants from timp3-/- mice and wild-type littermates was measured by sandwich ELISA and Western blot after stimulation with tumor necrosis factor alpha (TNFalpha), interleukin-1beta (IL-1beta), or the phorbol ester PMA. Protease expression was inhibited (knocked down) with siRNA and validated using real-time PCR. RESULTS: Proinflammatory cytokines IL-1beta and TNFalpha up-regulated VCAM-1 ectodomain release from the MCEC-1 cells, and this was dependant on p38 and mitogen-activated protein kinases (MAP kinases) and inhibited by the matrix metalloproteinase (MMP) inhibitor BB94 and tissue inhibitor of metalloproteinase (TIMP)-3, but not TIMP-1 or TIMP-2. Timp-3-/- cells exhibited greater VCAM-1 ectodomain release following cytokine stimulation than TIMP-3-expressing cells. Additionally, cytokine stimulation of MCEC-1 cells was shown to cause down-regulation of TIMP-3 expression. Knockdown of the metalloproteinase ADAM17, but not ADAM10 or ADAM12, gene expression reduced cytokine-stimulated VCAM-1 shedding. CONCLUSIONS: TIMP-3 regulates the release of sVCAM-1 from cytokine-stimulated endothelial cells, which is mediated by ADAM17.
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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) | 0.002 | 0.001 |
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".