Literature DB >> 33564009

Novel urinary glycan profiling by lectin array serves as the biomarkers for predicting renal prognosis in patients with IgA nephropathy.

Chieko Kawakita1, Koki Mise2, Yasuhiro Onishi1, Hitoshi Sugiyama3, Michihiro Yoshida4, Masao Yamada5, Jun Wada6.   

Abstract

In IgA nephropathy (n class="Gene">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 m2/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(β1-4)GlcNAc and high-mannose including Man(α1-6)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.

Entities:  

Year:  2021        PMID: 33564009     DOI: 10.1038/s41598-020-77736-1

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.379


  43 in total

1.  Addition of eGFR and Age Improves the Prognostic Absolute Renal Risk-Model in 1,134 Norwegian Patients with IgA Nephropathy.

Authors:  Thomas Knoop; Ann Merethe Vågane; Bjørn Egil Vikse; Einar Svarstad; Bergrún Tinna Magnúsdóttir; Sabine Leh; Anna Varberg Reisæter; Rune Bjørneklett
Journal:  Am J Nephrol       Date:  2015-04-09       Impact factor: 3.754

Review 2.  IgA nephropathy.

Authors:  Jonathan Barratt; John Feehally
Journal:  J Am Soc Nephrol       Date:  2005-06-01       Impact factor: 10.121

Review 3.  IgA nephropathy.

Authors:  Robert J Wyatt; Bruce A Julian
Journal:  N Engl J Med       Date:  2013-06-20       Impact factor: 91.245

Review 4.  The commonest glomerulonephritis in the world: IgA nephropathy.

Authors:  G D'Amico
Journal:  Q J Med       Date:  1987-09

5.  A scoring system to predict renal outcome in IgA nephropathy: from a nationwide prospective study.

Authors:  Kenji Wakai; Takashi Kawamura; Masayuki Endoh; Masayo Kojima; Yasuhiko Tomino; Akiko Tamakoshi; Yoshiyuki Ohno; Yutaka Inaba; Hideto Sakai
Journal:  Nephrol Dial Transplant       Date:  2006-07-05       Impact factor: 5.992

6.  Predicting the risk for dialysis or death in IgA nephropathy.

Authors:  François Berthoux; Hesham Mohey; Blandine Laurent; Christophe Mariat; Aida Afiani; Lise Thibaudin
Journal:  J Am Soc Nephrol       Date:  2011-01-21       Impact factor: 10.121

7.  Epidemiology of IgA Nephropathy: A Global Perspective.

Authors:  Francesco Paolo Schena; Ionut Nistor
Journal:  Semin Nephrol       Date:  2018-09       Impact factor: 5.299

Review 8.  The incidence of primary glomerulonephritis worldwide: a systematic review of the literature.

Authors:  Anita McGrogan; Casper F M Franssen; Corinne S de Vries
Journal:  Nephrol Dial Transplant       Date:  2010-11-10       Impact factor: 5.992

Review 9.  Molecular Insights into the Pathogenesis of IgA Nephropathy.

Authors:  Thomas Robert; Laureline Berthelot; Alexandra Cambier; Eric Rondeau; Renato C Monteiro
Journal:  Trends Mol Med       Date:  2015-11-21       Impact factor: 11.951

10.  Effect of Oral Methylprednisolone on Clinical Outcomes in Patients With IgA Nephropathy: The TESTING Randomized Clinical Trial.

Authors:  Jicheng Lv; Hong Zhang; Muh Geot Wong; Meg J Jardine; Michelle Hladunewich; Vivek Jha; Helen Monaghan; Minghui Zhao; Sean Barbour; Heather Reich; Daniel Cattran; Richard Glassock; Adeera Levin; David Wheeler; Mark Woodward; Laurent Billot; Tak Mao Chan; Zhi-Hong Liu; David W Johnson; Alan Cass; John Feehally; Jürgen Floege; Giuseppe Remuzzi; Yangfeng Wu; Rajiv Agarwal; Hai-Yan Wang; Vlado Perkovic
Journal:  JAMA       Date:  2017-08-01       Impact factor: 56.272

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  3 in total

1.  Novel Urinary Glycan Biomarkers Predict Cardiovascular Events in Patients With Type 2 Diabetes: A Multicenter Prospective Study With 5-Year Follow Up (U-CARE Study 2).

Authors:  Koki Mise; Mariko Imamura; Satoshi Yamaguchi; Mayu Watanabe; Chigusa Higuchi; Akihiro Katayama; Satoshi Miyamoto; Haruhito A Uchida; Atsuko Nakatsuka; Jun Eguchi; Kazuyuki Hida; Tatsuaki Nakato; Atsuhito Tone; Sanae Teshigawara; Takashi Matsuoka; Shinji Kamei; Kazutoshi Murakami; Ikki Shimizu; Katsuhiro Miyashita; Shinichiro Ando; Tomokazu Nunoue; Michihiro Yoshida; Masao Yamada; Kenichi Shikata; Jun Wada
Journal:  Front Cardiovasc Med       Date:  2021-05-24

2.  Direct N-Glycosylation Profiling of Urine and Prostatic Fluid Glycoproteins and Extracellular Vesicles.

Authors:  Calvin R K Blaschke; Jordan P Hartig; Grace Grimsley; Liping Liu; O John Semmes; Jennifer D Wu; Joseph E Ippolito; Chanita Hughes-Halbert; Julius O Nyalwidhe; Richard R Drake
Journal:  Front Chem       Date:  2021-09-27       Impact factor: 5.221

Review 3.  Mass spectrometry-based N-glycosylation analysis in kidney disease.

Authors:  Weifu Ren; Qi Bian; Yan Cai
Journal:  Front Mol Biosci       Date:  2022-08-17
  3 in total

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