Targeting the angiopoietin-like protein 3/8 complex with a monoclonal antibody in patients with mixed hyperlipidemia: a phase 1 trial
Bibliographic record
Abstract
The angiopoietin-like protein 3/8 complex (ANGPTL3/8) inhibits lipoprotein lipase (LPL) activity, primarily in oxidative tissues, and does so more potently than ANGPTL3, making ANPTL3/8 an attractive target for treating dyslipidemia. This study enrolled 48 adults (36 men, 12 women) with mixed hyperlipidemia to assess the primary outcome of safety and the secondary outcomes of pharmacokinetics and pharmacodynamics of ascending doses of LY3475766, a human monoclonal antibody that specifically blocks ANGPTL3/8-mediated inhibition of LPL activity. Participants received a single dose of LY3475766 or placebo. LY3475766 was well tolerated with no severe adverse events or adverse event-related discontinuations. Compared with placebo, LY3475766 dose-dependently reduced the concentration of triglycerides (-70%), remnant cholesterol (-86%), low-density lipoprotein cholesterol (-32%), non-high-density lipoprotein cholesterol (non-HDL-C) (-35%) and apolipoprotein B (-29%) while increasing HDL-C (+27%). LY3475766 thus significantly reduced atherogenic lipoprotein levels while increasing HDL-C levels; however, the effects on cardiovascular risk remain to be established. ClinicalTrials.gov registration: NCT04052594 .
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.003 | 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".