Familial chylomicronemia syndrome and treatments to target hepatic APOC3 mRNA
Bibliographic record
Abstract
Familial chylomicronemia syndrome (FCS) is a rare, recessive monogenic disorder characterized by severely elevated plasma triglyceride (TG) levels due to absent or markedly impaired lipoprotein lipase activity, leading to a greatly increased risk of acute pancreatitis. Naturally occurring very low levels of apoC-III are associated with low TG levels; thus, apoC-III is a target for TG lowering, and therapies have been developed to reduce apoC-III. Strategies to inhibit hepatic apoC-III synthesis include antisense oligonucleotides (ASOs) and small interfering RNAs (siRNAs). In the last decade, technologies have been developed to enhance hepatic delivery of these potential therapeutic agents by conjugation of the ligand triantennary N-acetyl galactosamine to ASO and siRNA for receptor-mediated uptake by hepatocytes, where apoC-III is predominantly expressed. Enhanced delivery of these pharmacological agents to the target tissue has been found to support lower and/or less frequent dosing with consequent lower total systemic exposure. One antisense agent, the ASO olezarsen, is now approved by the US Food and Drug Administration (FDA) as an adjunct to diet to lower triglycerides in adults with FCS, and the other, the siRNA plozasiran, is in late-stage clinical development. Both agents have shown effectiveness in reducing both apoC-III and TG levels across several study populations. Reduced TG, lower rates of acute pancreatitis events, and similar proportions of adverse events in placebo and treated patients were recently demonstrated in placebo-controlled phase 3 trials of patients with FCS treated with olezarsen in Balance and with plozasiran in PALISADE. This review discusses causes and consequences of FCS and the rationale and progress made in developing APOC3 RNA-targeted therapeutics for the treatment of FCS.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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".