Evidence map›Paper›PMID 38811951›Full record

ArticleCardiovascular diabetology2024

Plasma proteome association with coronary heart disease and carotid intima media thickness: results from the KORA F4 study.

Mohamed A Elhadad, Mónica Del C Gómez-Alonso, Chien-Wei Chen, Sonja Neumeyer, Thomas Delerue, Wolfgang Rathmann, Michael Näbauer, Christa Meisinger, Stefan Kääb, Jochen Seissler and 8 more

Abstract read
In one paragraph

Article in Cardiovascular diabetology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

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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

18 authors.

Mohamed A Elhadad *Research Unit Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Ingolstaedter Landstr. 1, 85764, Neuherberg, Germany. mohamed.elhadad@med.uni-greifswald.de.
Mónica Del C Gómez-Alonso *Research Unit Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Ingolstaedter Landstr. 1, 85764, Neuherberg, Germany.
Chien-Wei ChenResearch Unit Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Ingolstaedter Landstr. 1, 85764, Neuherberg, Germany.
Sonja NeumeyerResearch Unit Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Ingolstaedter Landstr. 1, 85764, Neuherberg, Germany.
Thomas DelerueResearch Unit Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Ingolstaedter Landstr. 1, 85764, Neuherberg, Germany.
Wolfgang RathmannGerman Center for Diabetes Research (DZD), Partner Site Düsseldorf, Düsseldorf, Germany.
Michael NäbauerMedizinische Klinik und Poliklinik I, Klinikum der Universität München, Munich, Germany.
Christa MeisingerChair of Epidemiology, University of Augsburg, 86156, Augsburg, Germany.
Stefan KääbGerman Research Center for Cardiovascular Disease (DZHK), Partner site Munich Heart Alliance, Munich, Germany.
Jochen SeisslerDepartment of Internal Medicine IV, University Hospital of Ludwig-Maximilians-University, Munich, Germany.
Johannes GraumannDepartment of Medicine, Institute of Translational Proteomics, Philipps-Universität Marburg, Marburg, Germany.
Wolfgang KoenigGerman Research Center for Cardiovascular Disease (DZHK), Partner site Munich Heart Alliance, Munich, Germany.
Karsten SuhreBioinformatics Core, Weill Cornell Medicine-Qatar, Education City, 24144, Doha, Qatar.
Christian GiegerResearch Unit Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Ingolstaedter Landstr. 1, 85764, Neuherberg, Germany.
Uwe VölkerDZHK (German Center for Cardiovascular Research), partner site Greifswald, Greifswald, Germany.
Annette PetersResearch Unit Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Ingolstaedter Landstr. 1, 85764, Neuherberg, Germany.
Elke HammerDZHK (German Center for Cardiovascular Research), partner site Greifswald, Greifswald, Germany.
Melanie WaldenbergerResearch Unit Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Ingolstaedter Landstr. 1, 85764, Neuherberg, Germany. melanie.waldenberger@helmholtz-munich.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimsAtherosclerosis is the main cause of stroke and coronary heart disease (CHD), both leading mortality causes worldwide. Proteomics, as a high-throughput method, could provide helpful insights into the pathological mechanisms underlying atherosclerosis. In this study, we characterized the associations of plasma protein levels with CHD and with carotid intima-media thickness (CIMT), as a surrogate measure of atherosclerosis.

methodsThe discovery phase included 1000 participants from the KORA F4 study, whose plasma protein levels were quantified using the aptamer-based SOMAscan proteomics platform. We evaluated the associations of plasma protein levels with CHD using logistic regression, and with CIMT using linear regression. For both outcomes we applied two models: an age-sex adjusted model, and a model additionally adjusted for body mass index, smoking status, physical activity, diabetes status, hypertension status, low density lipoprotein, high density lipoprotein, and triglyceride levels (fully-adjusted model). The replication phase included a matched case-control sample from the independent KORA F3 study, using ELISA-based measurements of galectin-4. Pathway analysis was performed with nominally associated proteins (p-value < 0.05) from the fully-adjusted model.

resultsIn the KORA F4 sample, after Bonferroni correction, we found CHD to be associated with five proteins using the age-sex adjusted model: galectin-4 (LGALS4), renin (REN), cathepsin H (CTSH), and coagulation factors X and Xa (F10). The fully-adjusted model yielded only the positive association of galectin-4 (OR = 1.58, 95% CI = 1.30-1.93), which was successfully replicated in the KORA F3 sample (OR = 1.40, 95% CI = 1.09-1.88). For CIMT, we found four proteins to be associated using the age-sex adjusted model namely: cytoplasmic protein NCK1 (NCK1), insulin-like growth factor-binding protein 2 (IGFBP2), growth hormone receptor (GHR), and GDNF family receptor alpha-1 (GFRA1). After assessing the fully-adjusted model, only NCK1 remained significant (β = 0.017, p-value = 1.39e-06). Upstream regulators of galectin-4 and NCK1 identified from pathway analysis were predicted to be involved in inflammation pathways.

conclusionsOur proteome-wide association study identified galectin-4 to be associated with CHD and NCK1 to be associated with CIMT. Inflammatory pathways underlying the identified associations highlight the importance of inflammation in the development and progression of CHD.

Indexed as

BiomarkersBlood ProteinsCarotid Intima-Media ThicknessCoronary DiseasePredictive Value of TestsProteomicsAdultAgedCarotid Artery DiseasesCase-Control StudiesCoronary Artery DiseaseFemaleGermanyHumansMaleMiddle AgedBiomarkersBlood ProteinsProteomeAtherosclerosisCardiovascular diseaseCarotid intima media thicknessCoronary artery diseaseGalectin-4NCK1ProteomicsStroke

Identifiers

PMID38811951
PMCPMC11138055

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