Evidence map›Paper›PMID 39802651›Full record

ReviewAtherosclerosis plus2025

Emerging oral therapeutic strategies for inhibiting PCSK9.

Nicola Ferri, Giorgia Marodin

Abstract readReview
In one paragraph

Review in Atherosclerosis plus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 2 pooled it
–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

14 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Identification of a peptide inhibitor disrupting the PCSK9-LDLR interactionJournal of enzyme inhibition and medicinal chemistry · 2026
    Article
  4. Article
  5. Review
  6. New frontiers in the treatment of hypercholesterolaemia: oral inhibition of PCSK9.European heart journal supplements : journal of the European Society of Cardiology · 2026
    Article
  7. Article
  8. Article
  9. Review
  10. Review
  11. Article
  12. Review
  13. Review
  14. 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.

Nicola FerriDepartment of Medicine, University of Padova, Padova, Italy.
Giorgia MarodinDepartment of Pharmaceutical and Pharmacological Sciences, Padova, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pharmacological inhibition of Proprotein Convertase Subtilisin/Kexin 9 (PCSK9) have been firmly established to be an effective approach to reduce low-density lipoprotein (LDL) cholesterol levels and cardiovascular events. Subcutaneous administration of monoclonal antibodies (evolocumab and alirocumab) every 2 or 4 weeks determined a 60 % reduction of LDL cholesterol levels, while the GalNac-siRNA anti PCSK9 (inclisiran) provided an effective lipid lowering activity (-50 %) after an initial subcutaneous dose, repeated after 3 months and followed by a maintenance dose every 6 months. Although these two approaches have the potentiality to bring the majority of patients at high and very-high cardiovascular risk to the appropriate LDL cholesterol targets, their cost and subcutaneous administration represent a strong limitation for their large-scale use. These problems could be overcome by the development of small chemical molecules anti PCSK9 as oral therapy for controlling hypercholesterolemia. In the present review, we summarized the pharmacological properties of oral anti PCSK9 molecules that are currently under clinical development (DC371739, CVI-LM001, and AZD0780), including the mimetic peptides enlicitide decanoate (MK-0616) and NNC0385-0434.

Indexed as

AZD0780CVI-LM001DC371739MK-0616NNC0385-0434PCSK9

Identifiers

PMID39802651
PMCPMC11722601

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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 OpenQuestion graph.