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Kawakita, Chieko Department of Nephrology, Rheumatology, Endocrinology and Metabolism, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
Mise, Koki Department of Nephrology, Rheumatology, Endocrinology and Metabolism, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
Onishi, Yasuhiro Department of Nephrology, Rheumatology, Endocrinology and Metabolism, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
Sugiyama, Hitoshi Department of Human Resource Development of Dialysis Therapy for Kidney Disease, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences ORCID Kaken ID publons researchmap
Yoshida, Michihiro Center for Innovative Clinical Medicine, Okayama University Hospital
Yamada, Masao GlycoTechnica Ltd Kaken ID publons researchmap
Wada, Jun Department of Nephrology, Rheumatology, Endocrinology and Metabolism, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences ORCID Kaken ID publons researchmap
Abstract
In IgA nephropathy (IgAN), IgA1 molecules are characterized by galactose deficiency in O-glycans. Here, we investigated the association between urinary glycosylation profile measured by 45 lectins at baseline and renal prognosis in 142 patients with IgAN. The primary outcome was estimated glomerular filtration rate (eGFR) decline (>4 mL/min/1.73 m(2)/year), or eGFR >= 30% decline from baseline, or initiation of renal replacement therapies within 3 years. During follow-up (3.4 years, median), 26 patients reached the renal outcome (Group P), while 116 patients were with good renal outcome (Group G). Multivariate logistic regression analyses revealed that lectin binding signals of Erythrina cristagalli lectin (ECA) (odds ratio [OR] 2.84, 95% confidence interval [CI] 1.11-7.28) and Narcissus pseudonarcissus lectin (NPA) (OR 2.32, 95% CI 1.11-4.85) adjusted by age, sex, eGFR, and urinary protein were significantly associated with the outcome, and they recognize Gal(beta 1-4)GlcNAc and high-mannose including Man(alpha 1-6)Man, respectively. The addition of two lectin-binding glycan signals to the interstitial fibrosis/tubular atrophy score further improved the model fitness (Akaike's information criterion) and incremental predictive abilities (c-index, net reclassification improvement, and integrated discrimination improvement). Urinary N-glycan profiling by lectin array is useful in the prediction of IgAN prognosis, since ECA and NPA recognize the intermediate glycans during N-glycosylation of various glycoproteins.
Published Date
2021-02-09
Publication Title
Scientific Reports
Volume
volume11
Issue
issue1
Publisher
Nature Portfolio
Start Page
3394
ISSN
2045-2322
Content Type
Journal Article
language
English
OAI-PMH Set
岡山大学
Copyright Holders
© The Author(s) 2021
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isVersionOf https://doi.org/10.1038/s41598-020-77736-1
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http://creativecommons.org/licenses/by/4.0/