Evidence map›Paper›PMID 24614541›Full record

ArticleScientific reports2014

Changes in IgG and total plasma protein glycomes in acute systemic inflammation.

Mislav Novokmet, Edita Lukić, Frano Vučković, Željko Ðurić, Toma Keser, Katarina Rajšl, Daniel Remondini, Gastone Castellani, Hrvoje Gašparović, Olga Gornik and 1 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 94 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
94citing papers in PubMed, 3 pooled it
5.3field-weighted citation impact, top 4% 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

94 citing papers in PubMed, 3 syntheses or guidelines pooled it, 159 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Glycosylation Profile of IgG in Moderate Kidney Dysfunction.Journal of the American Society of Nephrology : JASN · 2016
    Pooled it
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  16. Exploring serumHeliyon · 2024
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34 more citing papers are in PubMed but not listed here.

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 4 institutions in 2 countries.

Mislav NovokmetGenos Glycoscience Laboratory, Zagreb, Croatia.
Edita LukićDepartment of Orthopaedic Surgery University Hospital Centre Zagreb, Croatia.
Frano VučkovićGenos Glycoscience Laboratory, Zagreb, Croatia.
Željko ÐurićClinic for Cardiac Surgery, University Hospital Centre Zagreb, Croatia.
Toma KeserUniversity of Zagreb, Faculty of Pharmacy and Biochemistry, Department of Biochemistry and Molecular Biology, Zagreb, Croatia.
Katarina RajšlUniversity of Zagreb, Faculty of Pharmacy and Biochemistry, Department of Biochemistry and Molecular Biology, Zagreb, Croatia.
Daniel RemondiniDepartment of Physics and Astronomy DIFA, University of Bologna, Bologna, Italy.
Gastone CastellaniDepartment of Physics and Astronomy DIFA, University of Bologna, Bologna, Italy.
Hrvoje GašparovićClinic for Cardiac Surgery, University Hospital Centre Zagreb, Croatia.
Olga Gornik1] University of Zagreb, Faculty of Pharmacy and Biochemistry, Department of Biochemistry and Molecular Biology, Zagreb, Croatia [2].
Gordan Lauc1] Genos Glycoscience Laboratory, Zagreb, Croatia [2] University of Zagreb, Faculty of Pharmacy and Biochemistry, Department of Biochemistry and Molecular Biology, Zagreb, Croatia [3].
University of Zagreb · HRUniversity Hospital Centre Zagreb · HRGenos (Croatia) · HRUniversity of Bologna · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recovery after cardiac surgery is a complex process that has to compensate for both individual variability and extensive tissue damage in the context of systemic inflammation. Protein glycosylation is essential in many steps of the inflammatory cascade, but due to technological limitations the role of individual variation in glycosylation in systemic inflammation has not been addressed until now. We analysed composition of the total plasma and IgG N-glycomes in 107 patients undergoing cardiac surgery. In nearly all individuals plasma N-glycome underwent the same pattern of changes in the first 72 h, revealing a general mechanism of glycosylation changes. To the contrary, changes in the IgG glycome were very individualized. Bi-clustering analysis revealed the existence of four distinct patterns of changes. One of them, characterized by a rapid increase in galactosylated glycoforms, was associated with nearly double mortality risk measured by EuroSCORE II. Our results indicate that individual variation in IgG glycosylation changes during acute systemic inflammation associates with increased mortality risk and indicates new avenues for the development of personalized diagnostic and therapeutic approach.

Indexed as

GlycomicsAcute DiseaseAdultAgedAged, 80 and overCarbohydrate SequenceCardiac Surgical ProceduresChromatography, High Pressure LiquidCluster AnalysisFemaleGlycoproteinsGlycosylationHumansHydrophobic and Hydrophilic InteractionsImmunoglobulin GInflammationGlycoproteinsglycosylated IgGImmunoglobulin GPolysaccharides

Identifiers

PMID24614541
PMCPMC3949295
OpenAlexW2025031903

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.