Abstract 12594: Pharmacodynamic Effect of ARO-APOC3, an Investigational Hepatocyte-targeted RNA Interference Therapeutic Targeting Apolipoprotein C3, in Patients With Hypertriglyceridemia and Multifactorial Chylomicronemia
Bibliographic record
Abstract
Background: Hypertriglyceridemia (HTG) increases the risk of acute pancreatitis and atherosclerosis. In a Phase 1 study (NCT03783377), single subcutaneous doses of investigational RNA interference (RNAi) therapeutic ARO-APOC3 (10, 25, 50, and 100 mg; N=24) demonstrated deep and prolonged reductions in apolipoprotein C3 (APOC3) and triglycerides (TG) and increases in HDL-C in healthy volunteers with good tolerability, compared with placebo (N=16). Purpose: We report initial results of the effects of ARO-APOC3 in patients with HTG (fasting TG ≥ 300 mg/dL) or multifactorial chylomicronemia (MCM; fasting TG ≥ 880 mg/dL). Methods: Up to 40 subjects with HTG and 20 subjects with MCM will receive ARO-APOC3 or placebo on days 1 and 29. Pharmacodynamic responses include serum APOC3, TG, and other lipid parameters reported up to week 4 prior to the 2 nd dose. Results: At the data cutoff (16 March 2020), the first 4 enrolled patients with HTG and 6 enrolled patients with MCM were administered ARO-APOC3 50 mg. ARO-APOC3 substantially reduced mean (range) APOC3 levels by 96% (88-99%) in both patient groups at Week 4 (Table). ARO-APOC3 substantially reduced mean (range) TG by 78% (67-87%) in HTG patients and by 92% (90-95%) in MCM patients at Week 4. Three of 4 HTG patients and 3 of 6 MCM patients had TG levels below 150 mg/dL. All MCM patients had TG ≤ 500 mg/dL. To date, ARO-APOC3 has been generally well tolerated with no reports of treatment-related serious or severe adverse events. Two of the 6 unblinded MCM patients experienced a transient ALT elevation to >3X ULN that returned to approximate pre-dose baseline by Day 113. Conclusions: Preliminary results indicate that a single dose of ARO-APOC3 reduces APOC3 levels by >90% and TG by ~80% 4 weeks after treatment in patients with HTG and MCM. The magnitude of treatment effect was similar in both populations and ARO-APOC3 had a favorable safety profile. Using RNAi to silence expression of APOC3 appears promising for treating patients with HTG and MCM.
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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".