Reductions in remnant cholesterol and VLDL cholesterol through inhibition of ANGPTL3 protein synthesis: an analysis from the TRANSLATE-TIMI 70 trial
Bibliographic record
Abstract
AIMS: Remnant cholesterol and very low-density lipoprotein cholesterol (VLDL-C) are increasingly recognized risk factors for atherosclerotic disease with few therapeutic options. Angiopoietin-like 3 (ANGPTL3), a key protein in the metabolism of triglyceride-rich lipoproteins, is a promising target. METHODS AND RESULTS: TRANSLATE-TIMI 70 was a double-blind, placebo-controlled randomized trial testing seven dose regimens of vupanorsen, an antisense oligonucleotide against ANGPTL3, in adults with non-HDL-C ≥ 100 mg/dL and triglycerides 150-500 mg/dL. The primary endpoint of this analysis was percentage change in remnant cholesterol (total cholesterol minus directly measured LDL-C minus HDL-C) and VLDL-C (directly measured) over 24 weeks. Two hundred eighty-six patients were enrolled, with a median age of 64 years and 44% female. Median baseline remnant cholesterol and VLDL-C were 42 and 31 mg/dL, respectively (reference: <30 mg/dL). Vupanorsen lowered remnant cholesterol by 42-59% at 24 weeks over placebo (P < 0.001), achieving a median level of 18 mg/dL at the highest dose. Over the same period, VLDL-C was reduced by 52-67% over placebo (P < 0.001), with a median achieved level of 2.5 mg/dL at the highest dose. The effect of vupanorsen on remnant cholesterol and VLDL-C reduction was dose-dependent and directly associated with the degree of ANGPTL3 inhibition: at 90% ANGPTL3 reduction, there was a 61% and 81% decrease in remnant cholesterol and VLDL-C, respectively. CONCLUSION: Inhibition of ANGPTL3 protein synthesis significantly lowered remnant cholesterol and VLDL-C in patients with hypertriglyceridaemia. The magnitude of reduction was associated with the degree of ANGPTL3 inhibition. These findings support ANGPTL3 inhibition as a promising target for lowering cholesterol on triglyceride-rich lipoproteins.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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".