Evidence map›Paper›PMID 42007565›Full record

ArticleGlycobiology2026

Replication of 10 novel loci involved in human plasma protein N-glycosylation using MALDI-MS and UHPLC-FD data.

Anna Timoshchuk, Annemieke Naber, Roderick Slieker, Anna Soplenkova, Denis E Maslov, Nadezhda A Potapova, Simone Nicolardi, P J M Elders, Eric J G Sijbrands, Sodbo Sharapov and 4 more

Abstract read
In one paragraph

Article in Glycobiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

14 authors.

Anna TimoshchukMSU Institute for Artificial Intelligence, Lomonosov Moscow State University, Lomonosovsky Prospekt, 37, Building 1, 119192, Moscow, Russia.ORCID 0000-0001-8529-4498
Annemieke NaberDepartment of Internal Medicine, Erasmus Medical Center, University Medical Center Rotterdam, Dr. Molewaterplein 40, 3015 GD, Rotterdam, the Netherlands.ORCID 0000-0002-2875-9858
Roderick SliekerDepartment of Epidemiology and Data Science, Amsterdam Public Health Institute, Amsterdam Cardiovascular Sciences, De Boelelaan 1117, 1081 HV, Amsterdam, the Netherlands.ORCID 0000-0003-0961-9152
Anna SoplenkovaMSU Institute for Artificial Intelligence, Lomonosov Moscow State University, Lomonosovsky Prospekt, 37, Building 1, 119192, Moscow, Russia.ORCID 0000-0003-0703-0146
Denis E MaslovMSU Institute for Artificial Intelligence, Lomonosov Moscow State University, Lomonosovsky Prospekt, 37, Building 1, 119192, Moscow, Russia.ORCID 0000-0003-2806-5933
Nadezhda A PotapovaInstitute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences, rospekt Akademika Lavrent'yeva, 10, 630090, Novosibirsk, Russia.
Simone NicolardiCenter for Proteomics and Metabolomics, Leiden University Medical Center, Albinusdreef 2, 2333 ZA, Leiden, the Netherlands.ORCID 0000-0001-8393-1625
P J M EldersDepartment of General Practice, Amsterdam UMC, Location Vrije Universiteit, Meibergdreef 15, 1105AZ, Amsterdam, the Netherlands.ORCID 0000-0002-5907-7219
Eric J G SijbrandsDepartment of Internal Medicine, Erasmus Medical Center, University Medical Center Rotterdam, Dr. Molewaterplein 40, 3015 GD, Rotterdam, the Netherlands.ORCID 0000-0001-8857-7389
Sodbo SharapovMSU Institute for Artificial Intelligence, Lomonosov Moscow State University, Lomonosovsky Prospekt, 37, Building 1, 119192, Moscow, Russia.ORCID 0000-0003-0279-4900
Leen M 't HartDepartment of Epidemiology and Data Science, Amsterdam Public Health Institute, Amsterdam Cardiovascular Sciences, De Boelelaan 1117, 1081 HV, Amsterdam, the Netherlands.
Mandy van HoekDepartment of Internal Medicine, Erasmus Medical Center, University Medical Center Rotterdam, Dr. Molewaterplein 40, 3015 GD, Rotterdam, the Netherlands.ORCID 0000-0002-2957-5436
Manfred WuhrerCenter for Proteomics and Metabolomics, Leiden University Medical Center, Albinusdreef 2, 2333 ZA, Leiden, the Netherlands.ORCID 0000-0002-0814-4995
Yurii S AulchenkoMSU Institute for Artificial Intelligence, Lomonosov Moscow State University, Lomonosovsky Prospekt, 37, Building 1, 119192, Moscow, Russia.ORCID 0000-0002-7899-1575

Funding

Accelerating Medicines Partnership HART17AMPAmsterdam University Medical CenterDutch String of Pearls InitiativeFoundation for the National Institutes of HealthMSU Institute for Artificial Intelligence
6 · The paper itself

Abstract

N-glycans are essential components of glycoproteins, influencing their properties and functions. While biochemical pathways of glycosylation are well-characterized, their genetic regulation remains poorly understood. This study utilizes matrix-assisted laser desorption/ionization-mass spectrometry (MALDI-MS) and ultra-high performance liquid chromatography-fluorescence detection (UHPLC-FD) to strengthen replication and further characterize previously identified genome-wide association signals for the total human plasma N-glycome (TPNG). Univariate and multivariate genetic association meta-analyses involved 3385 samples across 143 N-glycome traits from the Hoorn Diabetes Care System and DiaGene cohorts as well as 3224 samples across 117 N-glycome traits from TwinsUK, CEDAR, QMDiab and SABRE cohorts. We successfully replicated ten previously identified but not replicated glycosylation quantitative trait loci (glyQTLs) and prioritized five high-confidence putative causal genes, including the glycosyltransferase MGAT4B and inflammation-related genes - C3 and FCGR2B. The linkage-specific sialic acid derivatization in MALDI-MS enabled delineation of genetic effects on α2,3- and α2,6-sialylation. Mass spectrometry analysis, triggered and guided by association to a locus containing B3GAT1 glucuronosyltransferase, provided evidence for hexuronic acid-containing glycans in human blood plasma. These findings advance our understanding of the genetic regulation of protein N-glycosylation and highlight the complementarity of different analytical approaches in glycomics research.

Indexed as

Blood ProteinsGlycoproteinsPolysaccharidesChromatography, High Pressure LiquidGenome-Wide Association StudyGlycosylationHumansQuantitative Trait LociSpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationBlood ProteinsGlycoproteinsPolysaccharidesgenetic control of N-glycosylationGWASMALDI-MSN-glycansUHPLC-FD

Identifiers

PMID42007565
PMCPMC13159552

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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.