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Interlaboratory evaluation of plasma N-glycan antennary fucosylation as a clinical biomarker for HNF1A-MODY using liquid chromatography methods

Abstract:
Antennary fucosylation alterations in plasma glycoproteins have been previously proposed and tested as a biomarker for differentiation of maturity onset diabetes of the young (MODY) patients carrying a functional mutation in the HNF1A gene. Here, we developed a novel LC-based workflow to analyze blood plasma N-glycan fucosylation in 320 diabetes cases with clinical features matching those at risk of HNF1A-MODY. Fucosylation levels measured in two independent research centers by using similar LC-based methods were correlated to evaluate the interlaboratory performance of the biomarker. The interlaboratory study showed good correlation between fucosylation levels measured for the 320 cases in the two centers with the correlation coefficient (r) of up to 0.88 for a single trait A3FG3S2. The improved chromatographic separation allowed the identification of six single glycan traits and a derived antennary fucosylation trait that were able to differentiate individuals carrying pathogenic mutations from benign or no HNF1A mutation cases, as determined by the area under the curve (AUC) of up to 0.94. The excellent (r = 0.88) interlaboratory performance of the glycan biomarker for HNF1A-MODY further supports the development of a clinically relevant diagnostic test measuring antennary fucosylation levels.Horizon 2020 (H2020)72209
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1007/s10719-021-09992-w

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Author
ORCID:
0000-0002-5126-3076
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Role:
Author
ORCID:
0000-0001-8617-0980
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ORCID:
0000-0001-7601-7544
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ORCID:
0000-0003-4158-0462
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Role:
Author
ORCID:
0000-0002-6601-4777


Publisher:
Springer
Journal:
Glycoconjugate Journal More from this journal
Volume:
38
Issue:
3
Pages:
375-386
Publication date:
2021-03-25
DOI:
EISSN:
1573-4986
ISSN:
0282-0080


Language:
English
Keywords:
Pubs id:
1170420
Local pid:
pubs:1170420
Source identifiers:
W3137917486
Deposit date:
2026-02-14
ARK identifier:
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