Evidence map›Paper›PMID 30347343›Full record

ArticleAtherosclerosis2018

High density lipoprotein proteome is associated with cardiovascular risk factors and atherosclerosis burden as evaluated by coronary CT angiography.

Scott M Gordon, Jonathan H Chung, Martin P Playford, Amit K Dey, Denis Sviridov, Fayaz Seifuddin, Yun-Ching Chen, Mehdi Pirooznia, Marcus Y Chen, Nehal N Mehta and 1 more

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Atherosclerosis, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
6.9field-weighted citation impact, top 3% of its field
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

36 citing papers in PubMed, 55 citations in OpenAlex.

  1. Trial
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  4. Context-Dependent Effects of Apolipoprotein A2 on Lipid Metabolism and Atherogenesis.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2026
    Article
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  7. Foods (Basel, Switzerland) · 2025
    Article
  8. Deciphering Acute Coronary Syndromes Pathobiology Through Proteomics.Journal of cardiovascular development and disease · 2025
    Review
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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

11 authors at 1 institution in 1 country.

Scott M GordonLipoprotein Metabolism Section, National Heart, Lung and Blood Institute, Bethesda, MD, USA. Electronic address: scott.gordon@uky.edu.
Jonathan H ChungSection of Inflammation and Cardiometabolic Diseases, National Heart, Lung and Blood Institute, Bethesda, MD, USA.
Martin P PlayfordSection of Inflammation and Cardiometabolic Diseases, National Heart, Lung and Blood Institute, Bethesda, MD, USA.
Amit K DeySection of Inflammation and Cardiometabolic Diseases, National Heart, Lung and Blood Institute, Bethesda, MD, USA.
Denis SviridovLipoprotein Metabolism Section, National Heart, Lung and Blood Institute, Bethesda, MD, USA.
Fayaz SeifuddinBioinformatics and Computational Biology Core Facility, National Heart, Lung and Blood Institute, Bethesda, MD, USA.
Yun-Ching ChenBioinformatics and Computational Biology Core Facility, National Heart, Lung and Blood Institute, Bethesda, MD, USA.
Mehdi PiroozniaBioinformatics and Computational Biology Core Facility, National Heart, Lung and Blood Institute, Bethesda, MD, USA.
Marcus Y ChenAdvanced Cardiovascular Imaging Laboratory, National Heart, Lung and Blood Institute, Bethesda, MD, USA.
Nehal N MehtaSection of Inflammation and Cardiometabolic Diseases, National Heart, Lung and Blood Institute, Bethesda, MD, USA.
Alan T RemaleyLipoprotein Metabolism Section, National Heart, Lung and Blood Institute, Bethesda, MD, USA.
National Heart Lung and Blood Institute · US

Funding

Bioinformatics CoreZICHL006228 · NHLBI · NATIONAL HEART, LUNG, AND BLOOD INSTITUTE · PI PIROOZNIA, MEHDI · 2017 to 2021
$6.6M
Use Of Animal Models To Study Lipid Genes That Modulate AtherosclerosisZ01HL002058 · NHLBI · NATIONAL HEART, LUNG, AND BLOOD INSTITUTE · PI REMALEY, ALAN THOMAS · 1996 to 2008
$5.8M
Intramural NIH HHS Z01 HL002058
6 · The paper itself

Abstract

BACKGROUND AND

aimsHigh density lipoprotein cholesterol (HDL-C) is associated with risk of cardiovascular disease (CVD); however, therapeutic manipulations of HDL-C have failed to reduce CVD events. This suggests that HDL-C and the atheroprotective capacity of HDL are not directly linked. The goal of this study was to evaluate the relationships between HDL-bound proteins and measures of atherosclerosis burden and HDL function.

methodsThe HDL proteome was analyzed using mass spectrometry in 126 human subjects, who had undergone coronary computed tomography angiography (CCTA) to quantify calcified (CB) and non-calcified (NCB) atherosclerosis burden. Partial least squares regression analysis was used to evaluate associations between HDL-bound proteins and CB, NCB, or cholesterol efflux capacity (CEC).

resultsSignificant overlap was found among proteins associated with NCB and CEC. Proteins that were associated with NCB displayed an inverse relationship with CEC, supporting a link between this protective function of HDL and clinical plaque burden. CB was associated with a set of proteins mostly distinct from NCB and CEC. When CVD risk factors were evaluated, BMI had a stronger influence on important HDL proteins than gender, age, or HDL-C. Most HDL proteins associated with function or atherosclerosis burden were not significantly correlated with HDL-C.

conclusionsThese findings indicate that the HDL proteome contains information not captured by HDL- C and, therefore, has potential for future development as a biomarker for CVD risk. Additionally, the proteome effects detected in this study may provide HDL compositional goals for evaluating new and existing HDL-modification therapies.

Indexed as

AgedAnimalsAtherosclerosisBiomarkersBody Mass IndexCardiovascular DiseasesCell LineCholesterol, HDLComputed Tomography AngiographyCoronary AngiographyFemaleHumansLipoproteins, HDLMaleMiceMiddle AgedBiomarkersCholesterol, HDLLipoproteins, HDLProteomeAtherosclerosisCholesterol effluxComputed tomography angiographyHigh density lipoproteinProteomics

Identifiers

PMID30347343
PMCPMC6263790
OpenAlexW2892811219

What OpenQuestion holds

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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.