Effect of Hirulog-Like Peptide on Balloon Catheter Injury-Induced Neointimal Formation in Femoral Arteries of Minipigs and Relationship with Inflammatory Mediators
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Vascular intervention-induced neointimal formation is a major drawback for managing atherosclerotic cardiovascular diseases using invasive vascular procedures. Our previous studies demonstrated that hirulog-like peptide (HLP) reduced balloon catheter dilation-induced neointimal formation or restenosis in carotid arteries of rats or atherosclerotic rabbits with less interruption in coagulation or bleeding than heparin or hirulog-1. The present study examined the effect of HLP on balloon catheter injury-induced neointimal formation in femoral arteries of minipigs. Intravenous infusion of HLP (1.6 mg/kg/h for 4 h started 0.5 h before the intervention) or unfractured heparin (50 U/kg/h for 4 h) significantly reduced neointimal formation in femoral arteries 4 weeks after intervention compared with the vehicle. Heparin, but not HLP, significantly prolonged activated partial thromboplastin time. HLP or heparin significantly reduced vascular intervention-induced increases in C-reactive protein, P-selectin and interleukin-6 in serum. HLP, but not heparin, normalized vascular injury-induced increase in P-selectin in platelets. The results of the present study suggest that HLP is an effective agent for preventing balloon catheter injury-induced neointimal formation in femoral arteries of minipigs. The beneficial effects of HLP on vascular injury-induced neointimal formation may partially result from its inhibition on inflammatory mediators.
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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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 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 it