Evidence map›Paper›PMID 40694510›Full record

ReviewExpert review of proteomics2025

HDL proteome: from its characterization to quantitative measurements in particle subspecies and functional associations.

Tomáš Vaisar, Graziella Eliza Ronsein

Abstract readReview
In one paragraph

Review in Expert review of proteomics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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.

Tomáš VaisarDiabetes Institute, School of Medicine, University of Washington, Seattle, WA, USA.
Graziella Eliza RonseinDepartment of Biochemistry, Institute of Chemistry, University of São Paulo, São Paulo, Brazil.

Funding

Project 3 - HDL Structure/Function in LCAT Deficient HumansP01HL128203 · NHLBI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI Jere P Segrest · 2016 to 2026
$25.1M
Triglycerides, Diabetes and Cardiovascular DiseaseP01HL151328 · NHLBI · UNIVERSITY OF WASHINGTON · PI Karin E Bornfeldt · 2020 to 2026
$19.6M
NHLBI NIH HHS P01 HL128203NHLBI NIH HHS P01 HL151328
6 · The paper itself

Abstract

introductionRecent failures of therapeutic interventions aimed at elevating high-density lipoprotein cholesterol (HDL-C) have renewed the need to reconceptualize HDL. The HDL proteome constitutes over 50% of the HDL mass and it is the richest among lipoproteins. HDL is also the most heterogeneous lipoprotein, and unraveling the determinants of its pleiotropic functions requires new approaches to characterize HDL subspecies as well as harmonization of isolation and quantification methodologies. AREAS COVERED: We have reviewed studies focusing on HDL proteomes from the past 5 years, with particular focus on recent developments in mass spectrometry-based proteomics applied to HDL, and the studies of HDL heterogeneity and function. Emphasis is also given on the quantification of the proteome of HDL-specific subspecies and on the studies relating the HDL proteome to its function. We further discuss the need for harmonization in HDL subpopulations and subspecies isolation and in proteome quantification. EXPERT OPINION: The HDL proteome is undisputedly related to the HDL function. The development of new approaches to isolate HDL subspecies, together with the implementation of consistent quantification strategies, is needed to provide new insights into the structure-function relationship of HDL particles, unravel the role of HDL in the pathology of diseases, and provide new metrics of HDL.

Indexed as

Lipoproteins, HDLProteomeAnimalsCholesterol, HDLHumansMass SpectrometryProteomicsCholesterol, HDLLipoproteins, HDLProteomedata-independent analysisHDLHDL functionproteomicsquantificationsubspeciestargeted-proteomics

Identifiers

PMID40694510
PMCPMC12406991

What Socratic holds

Textmetadata
LicenceTDM
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 Socratic graph.