VIRAL CHEMOKINE-BINDING PROTEINS INHIBIT INFLAMMATORY RESPONSES AND AORTIC ALLOGRAFT TRANSPLANT VASCULOPATHY IN RAT MODELS
Bibliographic record
Abstract
BACKGROUND: Both CC and CXC chemokines direct monocyte and T-cell migration and activation at sites of vascular injury, but the relative contributions of each chemokine class to transplant vasculopathy development have not been defined. The nonselective C, CC, and CXC chemokine binding protein, M-T7, inhibits vasculopathy development after angioplasty and after renal transplant. We have assessed the effects of three viral chemokine-binding proteins with differing ranges of chemokine inhibition on plaque growth in rats after aortic allograft transplant. METHODS: One of two myxomaviral chemokine binding proteins, (1). M-T1, a selective CC chemokine inhibitor, or (2). M-T7, a nonselective chemokine-binding protein, was given immediately after transplant. A separate group was treated with the gamma68-herpesvirus protein, M3, a C, CC, CXC, and CX3C binding protein, with preferential CC binding. RESULTS: Intimal hyperplasia was significantly reduced at late times posttransplant after infusion of each chemokine-binding protein (P <0.05). Early inhibition of macrophage and T-cell invasion was associated with a late decrease in vasculopathy development. Infusion of an inactive myxomavirus protein did not inhibit plaque growth. Combined high-dose M-T1 and M-T7 did not reduce plaque growth or early cell invasion to a greater extent than either protein alone. Coinfusion of the CC chemokines macrophage chemoattractant protein-1 and macrophage inflammatory protein-1alpha neutralized M-T1 and M-T7 inhibition of monocyte invasion, respectively, suggesting a key role for CC chemokine-mediated cellular influx. CONCLUSION: Viral chemokine-modulating proteins effectively reduce aortic allograft vasculopathy, acting predominantly through inhibition of a CC chemokine-mediated response.
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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) | 0.000 | 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".