Abstract 17120: ARO-ANG3, an Investigational RNAi Therapeutic, Silences the Expression of ANGPTL3 and Decreases Atherogenic Lipoproteins in Patients With Mixed Dyslipidemia: ARCHES-2 Study Results
Bibliographic record
Abstract
Background: Angiopoietin-like protein 3 (ANGPTL3) regulates lipoprotein metabolism by inhibiting lipoprotein and endothelial lipases. ANGPTL3 loss-of-function carriers have decreased circulating triglycerides (TGs), LDL-C, and HDL-C, and a lower risk of atherosclerotic cardiovascular disease (ASCVD). ARO-ANG3 is an investigational RNAi therapeutic designed to inhibit hepatic ANGPTL3 expression and reduce atherogenic lipoproteins. Aim: We report end-of-study results (data cutoff 09 December 2022) from ARCHES-2, a Phase 2b double-blind, placebo (pbo)-controlled study (NCT04832971) to evaluate the safety and efficacy of ARO-ANG3 in adults with mixed dyslipidemia (MD). Methods: Patients with fasting TGs 150-499 mg/dL and LDL-C ≥70 mg/dL or non-HDL-C ≥100 mg/dL were randomized to receive 50 mg, 100 mg or 200 mg ARO-ANG3 or pbo by subcutaneous injections on Day 1 and Week 12. Patients were on a stable diet and optimal lipid-lowering therapies. The primary endpoint was the percent change in TGs from baseline at Week 24. Liver fat was assessed at baseline and Week 24 in a subset of patients with hepatic steatosis. Mixed models repeated measures was used for statistical analyses. Results: At Week 24, ARO-ANG3 decreased ANGPTL3 (up to 77%), TGs (up to 56%), remnant cholesterol (up to 56%), and apolipoprotein B (apoB) (up to 20%). Other lipoproteins including LDL-C, non-HDL-C, lipoprotein(a) and HDL-C were also decreased. Liver fat decreased similarly in ARO-ANG3 and pbo groups. TEAEs were consistent with those expected in this patient population and with associated underlying comorbidities. Conclusions: ARCHES-2 data demonstrate ARO-ANG3 efficacy by significantly lowering ANGPTL3 and atherogenic triglyceride-rich lipoproteins (TRLs), LDL and total apoB in patients with MD. The favorable changes in serum lipids and lipoproteins and safety profile support the potential of ARO-ANG3 to treat residual ASCVD risk in patients with elevated TRLs not at LDL-C goal.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".