Evidence map›Paper›PMID 36830744›Full record

ArticleBiomolecules2023

IgG N-Glycosylation Is Altered in Coronary Artery Disease.

Barbara Radovani, Frano Vučković, Aldo P Maggioni, Ele Ferrannini, Gordan Lauc, Ivan Gudelj

Abstract read
In one paragraph

Article in Biomolecules, 2023. 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.

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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

6 authors.

Barbara RadovaniDepartment of Biotechnology, University of Rijeka, 51000 Rijeka, Croatia.
Frano VučkovićGenos Glycoscience Research Laboratory, 10000 Zagreb, Croatia.
Aldo P MaggioniHeart Care Foundation ANMCO Research Center, 50100 Florence, Italy.ORCID 0000-0003-2764-6779
Ele FerranniniCNR Institute of Clinical Physiology, 56100 Pisa, Italy.ORCID 0000-0002-1384-1584
Gordan LaucGenos Glycoscience Research Laboratory, 10000 Zagreb, Croatia.ORCID 0000-0003-1840-9560
Ivan GudeljDepartment of Biotechnology, University of Rijeka, 51000 Rijeka, Croatia.ORCID 0000-0003-0624-7170

Funding

Croatian Science Foundation UIP-2019-04-5692
6 · The paper itself

Abstract

Coronary artery disease (CAD) is the most common cardiovascular disease (CVD), and previous studies have shown a significant association between N-glycosylation, a highly regulated posttranslational modification, and the development of atherosclerotic plaques. Our aim was to determine whether the N-glycome of immunoglobulin G (IgG) is associated with CAD, as N-glycans are known to alter the effector functions of IgG, which may enhance the inflammatory response in CAD. Therefore, in this study, we isolated IgG from subjects with coronary atherosclerosis (CAD+) and from subjects with clean coronaries (CAD-). The purified IgGs were denatured and enzymatically deglycosylated, and the released and fluorescently labelled N-glycans were analysed by ultra-high performance liquid chromatography based on hydrophilic interactions with fluorescence detection (HILIC-UHPLC-FLR). Sex-stratified analysis of 316 CAD- and 156 CAD+ cases revealed differences in IgG N-glycome composition. The most notable differences were observed in women, where the presence of sialylated N-glycan structures was negatively associated with CAD. The obtained chromatograms provide insight into the IgG N-glycome composition in CAD as well as the biomarker potential of IgG N-glycans in CAD.

Indexed as

Coronary Artery DiseaseImmunoglobulin GChromatography, High Pressure LiquidFemaleGlycosylationHumansPolysaccharidesImmunoglobulin GPolysaccharidescardiovascular diseasecoronary artery diseaseglycosylationimmunoglobulin GinflammationN-glycans

Identifiers

PMID36830744
PMCPMC9953309

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Registered trials

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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.