Evidence map›Paper›PMID 30463578›Full record

ArticleJournal of translational medicine2018

N-glycosylation patterns of plasma proteins and immunoglobulin G in chronic obstructive pulmonary disease.

Tamara Pavić, Dario Dilber, Domagoj Kifer, Najda Selak, Toma Keser, Đivo Ljubičić, Andrea Vukić Dugac, Gordan Lauc, Lada Rumora, Olga Gornik

Open access · goldAbstract read
In one paragraph

Article in Journal of translational medicine, 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
2.8field-weighted citation impact, top 8% 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, 63 citations in OpenAlex.

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  5. Total plasmaiScience · 2024
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  9. The Alterations of Serum N-glycome in Response to SARS-CoV-2 Vaccination.International journal of molecular sciences · 2023
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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

10 authors at 4 institutions in 2 countries.

Tamara PavićFaculty of Pharmacy and Biochemistry, University of Zagreb, A. Kovačića 1, 10 000, Zagreb, Croatia. tpavic@pharma.hr.ORCID 0000-0003-3174-120X
Dario DilberDeparment of Cardiology, County Hospital Čakovec, Čakovec, Croatia.
Domagoj KiferFaculty of Pharmacy and Biochemistry, University of Zagreb, A. Kovačića 1, 10 000, Zagreb, Croatia.
Najda SelakFaculty of Pharmacy and Biochemistry, University of Zagreb, A. Kovačića 1, 10 000, Zagreb, Croatia.
Toma KeserFaculty of Pharmacy and Biochemistry, University of Zagreb, A. Kovačića 1, 10 000, Zagreb, Croatia.
Đivo LjubičićDepartment of Pulmonology, Clinical Hospital Dubrava, Zagreb, Croatia.
Andrea Vukić DugacClinical Department for Lung Diseases Jordanovac, University Hospital Centre, Zagreb, Croatia.
Gordan LaucFaculty of Pharmacy and Biochemistry, University of Zagreb, A. Kovačića 1, 10 000, Zagreb, Croatia.
Lada RumoraFaculty of Pharmacy and Biochemistry, University of Zagreb, A. Kovačića 1, 10 000, Zagreb, Croatia.
Olga GornikFaculty of Pharmacy and Biochemistry, University of Zagreb, A. Kovačića 1, 10 000, Zagreb, Croatia.
University of Zagreb · HRPolytechnic of Međimurje in Čakovec · HRUniversity Hospital Centre Zagreb · HRUniversity Hospital Dubrava · HR

Funding

European Structural and Investments funding KK.01.1.1.01.0010Hrvatska Zaklada za Znanost UIP 2014-09-1247Hrvatska Zaklada za Znanost UIP-2014-09-7769
6 · The paper itself

Abstract

backgroundChronic obstructive pulmonary disease (COPD) is a complex condition, whose diagnosis requires spirometric assessment. However, considering its heterogeneity, subjects with similar spirometric parameters do not necessarily have the same functional status. To overcome this limitation novel biomarkers for COPD have been investigated. Therefore, we aimed to explore the potential value of N-glycans as COPD biomarkers and to examine the individual variation of plasma protein and immunoglobulin G (IgG) glycosylation profiles in subjects with COPD and healthy controls.

methodsBoth the total plasma protein and IgG N-glycome have been profiled in the total of 137 patients with COPD and 95 matching controls from Croatia. Replication cohort consisted of 61 subjects with COPD and 148 controls recruited at another Croatian medical centre.

resultsPlasma protein N-glycome in COPD subjects exhibited significant decrease in low branched and conversely, an increase in more complex glycan structures (tetragalactosylated, trisialylated, tetrasialylated and antennary fucosylated glycoforms). We also observed a significant decline in plasma monogalactosylated species, and the same change replicated in IgG glycome. N-glycans also showed value in distinguishing subjects in different COPD GOLD stages, where the relative abundance of more complex glycan structures increased as the disease progressed. Glycans also showed statistically significant associations with the frequency of exacerbations and demonstrated to be affected by smoking, which is the major risk factor for COPD development.

conclusionsThis study showed that complexity of glycans associates with COPD, mirroring also the disease severity. Moreover, changes in N-glycome associate with exacerbation frequency and are affected by smoking. In general, this study provided new insights into plasma protein and IgG N-glycome changes occurring in COPD and pointed out potential novel markers of the disease progression and severity.

Indexed as

AgedBlood ProteinsFemaleGlycoproteinsGlycosylationHumansImmunoglobulin GMaleMiddle AgedPolysaccharidesPulmonary Disease, Chronic ObstructiveRisk FactorsSmokingBlood ProteinsGlycoproteinsglycosylated IgGImmunoglobulin GPolysaccharidesBiomarkersCOPDImmunoglobulin GN-glycosylationPlasma glycoproteins

Identifiers

PMID30463578
PMCPMC6249776
OpenAlexW2901239819

What OpenQuestion holds

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LicenceCC BY
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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.