The β3 Integrin Antagonist m7E3 Reduces Matrix Metalloproteinase Activity and Smooth Muscle Cell Migration
Bibliographic record
Abstract
Treatment with c7E3 (abciximab, ReoPro) has been associated with a reduction in coronary events and the need for revascularization. Some of these beneficial effects may be due to blockade of the alphavbeta3 integrin receptor on smooth muscle cells (SMCs), however very little is known about the mechanisms involved. The current studies were designed to test the hypothesis that beta3 integrin antagonists inhibit the arterial response to injury by reducing matrix metalloproteinase (MMP) activity in the vessel wall. Male Sprague-Dawley rats were treated with daily intraperitoneal injections of the monoclonal antibody m7E3 at a dose of 6 mg/kg/day. MMP-9 activity was reduced by 73%, and MMP-2 activity by 75%, in the injured carotids of the m7E3-treated rats compared to saline-treated controls. By contrast, tissue inhibitor metalloproteinase (TIMP) activity was not changed. SMC migration assayed at 4 days after injury was reduced from 56.7 +/- 14 cells/mm(2) intimal surface area in controls to 17.5 +/- 5 cells/mm(2) in m7E3-treated rats (p = 0.02). Medial cell replication measured at 4 days and intimal cell replication measured at 7 days were not affected. Intimal cross-sectional area, measured 14 days after injury was reduced by 28% after m7E3 treatment (p = 0.05). Intimal smooth muscle cell number and the ratio of intima/media cross-section area were also reduced. By contrast, intimal SMC density was not affected by m7E3 treatment, indicating no effect on matrix accumulation. We conclude that treatment with m7E3 reduced SMC migration following vascular injury, possibly via an inhibitory effect on MMP activity, and this resulted in a decrease in intimal size at 14 days after injury.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 |
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".