Abstract 16993: An Antisense Inhibitor of Apolipoprotein C-III Significantly Decreases Nonesterified Fatty Acid Levels in Severe Hypertriglyceridemic Patients
Bibliographic record
Abstract
Background: Apolipoprotein C-III (apoC-III), a CV risk factor, plays a pivotal role in regulating plasma triglyceride (TG) levels. Elevated TG and its nonesterified fatty acid (NEFA) derivatives are associated with insulin resistance and type 2 diabetes. ISIS-APOCIII Rx selectively inhibits apoC-III protein synthesis in the liver and studies show it may improve insulin sensitivity in patients with type 2 diabetes. Treatment with ISIS-APOCIII Rx results in significant dose-dependent decreases in apoC-III and TG levels (Table) in patients with severe hypertriglyceridemia (SHTG) as monotherapy or add on to a stable dose of fibrate. The present study assessed the potential resulting change in NEFA levels in these patients. Methods: Adult patients with SHTG treated or untreated with fibrate were enrolled in a double-blind Phase 2 study to receive ISIS-APOCIII Rx (up to 300 mg) or placebo as weekly SC injections for 13 weeks. Baseline and end-of-treatment fasting serum samples were analyzed for NEFA levels. Results: Results show significant reductions in NEFA levels in line with reductions in TG levels at the 300 mg/week dose (the Phase 3 dose) of ISIS-APOCIII Rx (Table). ISIS-APOCIII Rx was generally safe and well tolerated. There were no clinically meaningful changes in liver tests or other laboratory values. Conclusions: Treatment with ISIS-APOCIII Rx reduces NEFA levels together with decreases in TG in patients with treated or untreated SHTG suggesting the potential for improvement in peripheral insulin sensitivity in these patients.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 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 | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".