Evidence mapPaperPMID 40467521Full record

ReviewJournal of atherosclerosis and thrombosis2025

ANGPTL3: A Breakthrough Target in Treatment for Dyslipidemia and Atherosclerosis.

Hirotaka Fukami, Yuichi Oike

Abstract readReview
In one paragraph

Review in Journal of atherosclerosis and thrombosis, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Hirotaka FukamiDepartment of Molecular Genetics, Graduate School of Medical Sciences, Kumamoto University.
Yuichi OikeDepartment of Molecular Genetics, Graduate School of Medical Sciences, Kumamoto University.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dyslipidemia is a major risk factor for atherosclerosis and subsequent cardiovascular disease (CVD). Despite conventional treatment with statins, ezetimibe, or PCSK9 inhibitors, there are cases of familial hypercholesterolemia (FH) in which LDL-C levels cannot be sufficiently lowered to the target level, resulting in failure to prevent CVD. Inhibition of Angiopoietin-like protein 3 (ANGPTL3) has emerged as a new therapeutic strategy to reduce LDL-C levels independent of the LDL receptor function. Since ANGPTL3 suppresses lipoprotein lipase (LDL) and endothelial lipase (EL) activities, its inhibition facilitates the clearance of very low-density lipoprotein cholesterol, decreasing both LDL-C and triglyceride (TG) levels. In fact, evinacumab, an anti-ANGPTL3 monoclonal antibody, has been shown to substantially reduce LDL-C and TG levels, even in FH patients with LDL receptor gene mutations who are resistant to the conventional treatments described above. Clinical trials have also shown that siRNA therapeutics, such as zodasiran and solbinsiran, improve lipid profiles in patients with dyslipidemia. Recently, we have begun developing a peptide-based anti-ANGPTL3 vaccine and confirmed in a preclinical FH mouse model that it significantly decreases LDL-C and TG levels, reduces atherosclerotic lesions and maintains long-term efficacy without adverse effects. In this review, we discuss the promising advances in ANGPTL3-targeted therapeutics that may overcome treatment-resistant dyslipidemia and reduce CVD risk in high-risk populations.

Indexed as

Angiopoietin-like ProteinsAtherosclerosisDyslipidemiasAngiopoietin-Like Protein 3AnimalsHumansMolecular Targeted TherapyAngiopoietin-Like Protein 3Angiopoietin-like ProteinsANGPTL3 protein, humanANGPTL3 (Angiopoietin-like protein 3)Cardiovascular diseases (CVD)DyslipidemiaFamilial Hypercholesterolemia (FH)Hypertriglyceridemia

Identifiers

PMID40467521
PMCPMC12416929

What Socratic holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.