A Randomized Controlled, Phase 2 Trial of the Viral Serpin Serp-1 in Patients With Acute Coronary Syndromes Undergoing Percutaneous Coronary Intervention
Bibliographic record
Abstract
BACKGROUND: Vascular inflammation can lead to plaque instability and acute coronary syndromes (ACS). Viruses produce potent immunomodulating proteins that regulate key inflammatory pathways. A myxoma virus-derived serpin Serp-1 reduces inflammatory cell invasion and plaque growth in vascular injury models. Our objective was to evaluate the safety and efficacy of Serp-1 in patients with ACS undergoing percutaneous coronary intervention. METHODS AND RESULTS: This double-blind pilot trial included 48 ACS patients undergoing percutaneous coronary intervention randomly assigned to Serp-1 at doses of 5 μg/kg (n=19) or 15 μg/kg (n=17) or to placebo (n=12). Serp-1 was given by intravenous bolus immediately before intervention and 24 and 48 hours later. Patients were assessed for safety (primary objective) and efficacy outcomes, including biomarker analysis. In-stent neointimal hyperplasia was evaluated by intravascular ultrasound at 6 months. Key safety outcomes including coagulation parameters and adverse events did not differ between Serp-1 and placebo groups. A dose-dependent reduction in troponin I levels was observed with Serp-1 at 8, 16, 24, and 54 hours (P<0.05) and in creatine kinase-MB levels at 8, 16, and 24 hours after dose (P<0.05). The composite of death, myocardial infarction, or coronary revascularization occurred in 2 of 12 patients with placebo, 5 of 19 in the low-dose group, and none of 17 patients with the high-dose (P=0.058). Intravascular ultrasound did not detect changes in neointimal hyperplasia among groups. CONCLUSIONS: This is the first study of a viral serpin demonstrating its safety in ACS patients. The significant reduction in myocardial damage biomarkers supports further assessment of Serp-1 in ACS patients undergoing stent deployment. CLINICAL TRIAL REGISTRATION: URL: http://www.clinicaltrials.gov. Unique identifier: NCT00243308.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.010 | 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".