Evidence map›Paper›PMID 39965658›Full record

ReviewOpen biology2025

High-density lipoprotein cholesterol: how studying the 'good cholesterol' could improve cardiovascular health.

Lucy Diaz, Ewa Bielczyk-Maczynska

Abstract readReview
In one paragraph

Review in Open biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Improving Lipid Profiles ThroughFoods (Basel, Switzerland) · 2026
    Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
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  11. Review
  12. Article
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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.

Lucy DiazThe Hormel Institute, University of Minnesota, Austin, MN, USA.ORCID 0009-0005-2440-213X
Ewa Bielczyk-MaczynskaThe Hormel Institute, University of Minnesota, Austin, MN, USA.ORCID 0000-0002-0558-1188

Funding

Hormel Foundation
6 · The paper itself

Abstract

High cholesterol levels are associated with an increased risk of cardiovascular disease, specifically atherosclerosis, a leading cause of death worldwide. Atherosclerosis occurs when cholesterol and fat build up in plaques along blood vessel walls, restricting blood flow and preventing nutrients and oxygen from diffusing in and out of the bloodstream. High-density lipoprotein cholesterol (HDL) particles prevent the build-up of such plaques, removing excess cholesterol from the peripheral tissues and delivering it to the liver, where it can be removed from the body. This pathway is known as reverse cholesterol transport (RCT). Because HDL plays a key role in preventing plaque buildup, understanding how this molecule and RCT function in the body could help us develop much-needed new atherosclerosis therapies and prevention strategies. However, HDL metabolism is complex, and research on HDL has been less favoured than research investigating a much better-understood molecule, low-density lipoprotein cholesterol, as a treatment target. More specifically, the receptors involved in the process of taking up HDL within the liver and their relationships to one another, along with the mechanism of whole, or holoparticle uptake of HDL remain to be clarified. In this review, we discuss several outstanding mysteries in HDL metabolism, consider why previous clinical trials to improve cardiovascular health by modulating HDL levels have been unsuccessful and argue that understanding HDL metabolism is essential for crafting interventions to reduce cardiovascular disease risk.

Indexed as

Cardiovascular DiseasesCholesterol, HDLAnimalsAtherosclerosisBiological TransportHumansLiverCholesterol, HDLcholesterol uptakehigh-density lipoproteinlipoproteinreceptor

Identifiers

PMID39965658
PMCPMC11835495

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.