Bevacizumab Diminishes Experimental Autoimmune Encephalomyelitis by Inhibiting Spinal Cord Angiogenesis and Reducing Peripheral T-Cell Responses
Bibliographic record
Abstract
Angiogenesis in the animal model of multiple sclerosis experimental autoimmune encephalomyelitis (EAE) is regulated by vascular endothelial growth factor (VEGF) and angiopoietin-2. We determined whether VEGF blockade with the anti-VEGF monoclonal antibody bevacizumab could inhibit angiogenesis and affect peripheral pathogenic immune responses in EAE. Mice treated with bevacizumab from the time of onset of clinical signs showed reduced clinical and pathologic scores. Bevacizumab suppressed angiogenesis and reduced angiopoietin-2 expression at Day 21 but had no effect on VEGF upregulation at Day 14. Messenger RNA levels for the angiogenesis-related protein CD105 were increased at Day 14. Bevacizumab reduced vascular permeability in the spinal cord at Day 14 and Day 21. In peripheral lymph nodes, it induced retention of CD4-positive T cells and inhibited T-cell proliferation. It also reduced mononuclear cell infiltration into spinal cord and the relative proportion of T cells. Isolated lymphoid cells showed reduced secretion of the T-helper 17 (Th-17) cell cytokine interleukin 17 and the Th-1 cytokine interferon-γ. When bevacizumab was added to naive T cells or to antigen-stimulated T cells from mice with untreated EAE in vitro, it had no effect on proliferation or the secretion of interleukin 17 or interferon-γ. These data indicate that bevacizumab ameliorates vascular and T-cell responses during EAE, but its effects on T cells may be indirect, possibly by suppressing angiogenesis.
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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".