Rationale and design of the SHASTA-3 and SHASTA-4 studies: randomized, double-blind, placebo-controlled, phase 3 studies of plozasiran in patients with severe hypertriglyceridemia
Bibliographic record
Abstract
Abstract Severe hypertriglyceridemia (sHTG) confers an increased risk of atherosclerotic cardiovascular disease (ASCVD) and acute pancreatitis (AP). sHTG-associated AP is a substantial source of morbidity, mortality, reduced quality of life and financial burden to health care systems. Currently available therapeutic approaches for sHTG are often insufficient to reduce triglyceride (TG) levels and prevent AP. Plozasiran, an investigational siRNA therapeutic, inhibits hepatic production of apolipoprotein C3 (APOC3), a key regulator of lipoprotein lipase-mediated TG metabolism and clearance. In a phase 2 study of sHTG patients [TG ≥500 mg/dL (≥5.65 mmol/L)], plozasiran demonstrated durable reductions in TG levels of up to -80%, 12 weeks after the last dose, and decreased TG below 500 mg/dL (5.65 mmol/L), a threshold of increased risk for AP in most participants. The SHASTA-3 and SHASTA-4 trials will evaluate safety and efficacy of plozasiran, including AP rates, in patients with sHTG. SHASTA-3 and SHASTA-4 are phase 3, randomized, double-blind, placebo-controlled, multi-center trials. Key inclusion criteria are prior sHTG and fasting TG ≥500 mg/dL (≥5.65 mmol/L), at screening. Key exclusion criteria include use of any hepatocyte targeted siRNA treatments that target lipids and/or TGs within 1 year (except inclisiran at least 4 weeks prior to enrollment), siRNA or ASO within 60 days, known FCS diagnosis, and AP within 4 weeks of screening. 700 adults with sHTG will be enrolled in these two trials in several sites across multiple countries. Patients will be randomized 2:1 to receive 4 quarterly subcutaneous injections of plozasiran 25 mg or matching placebo over a 1-year double-blinded period, followed by post-treatment evaluation or entry into the open-label extension study. The randomization will be stratified based on TG levels (≥880 mg/dL vs <880 mg/dL [≥ vs <10 mmol/L]) and prior history of AP, within 5 years of screening. The primary efficacy endpoint of the studies is placebo-adjusted percent change in fasting TG from baseline to month 12 with plozasiran. Secondary endpoints include percent change in fasting TG from baseline to month 10 compared to placebo, percent of patients achieving fasting TGs of <500 mg/dL (<5.65 mmol/L) and TGs of <150 mg/dL (<1.69 mmol/L) at month 10 and 12 compared to placebo, and event rate of adjudicated abdominal clinical events including ER visits and hospitalization for abdominal pain attributed to HTG and events of documented pancreatitis. The effect of plozasiran on other lipids and lipoproteins, inflammatory biomarkers, and liver fat content using magnetic resonance imaging-proton density fat fraction will be assessed. Adjudicated major adverse cardiovascular event rates, safety and tolerability will be assessed. SHASTA-3 and SHASTA-4 are designed to determine whether the quarterly-dosed APOC3 siRNA plozasiran, added to standard of care, safely reduces TG levels and the rate of AP in patients with sHTG.
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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 | 0.086 | 0.056 |
| Meta-epidemiology (narrow) | 0.007 | 0.005 |
| Meta-epidemiology (broad) | 0.009 | 0.005 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.004 | 0.007 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.005 | 0.002 |
| Research integrity | 0.008 | 0.009 |
| Insufficient payload (model declined to judge) | 0.020 | 0.009 |
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".