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Clinical Trial
. 2021 Feb 9;11(1):3394.
doi: 10.1038/s41598-020-77736-1.

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

Affiliations
Clinical Trial

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

Chieko Kawakita et al. Sci Rep. .

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 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.

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Conflict of interest statement

J.W. receives speaker honoraria from Astra Zeneca, Daiichi Sankyo, MSD, Novartis, Tanabe Mitsubishi, Taisho Toyama and receives grant support from Baxter, Chugai, Dainippon Sumitomo, Ono, Teijin. M.Ya. is employee of Glycotechnica. Rest of the authors declare no competing interest.

Figures

Figure 1
Figure 1
Univariate and multivariate logistic regression models for the renal outcome predicted by glycan indexes of 45 lectins. In the multivariate model, the OR for 1 SD of the net glycan intensity was adjusted for age, sex, eGFR, and log-transformed 24-h urinary protein at baseline. *P < 0.05, **P < 0.01. Abbreviations: OR, odds ratio; 95% CI, 95% confidence interval; eGFR, estimated glomerular filtration rate. (StataCorp. 2015. Stata Statistical Software: Release 14. College Station, TX: StataCorp LP)
Figure 2
Figure 2
The comparisons of the odds ratios in the groups stratified according to ECA/NPA signals and T score. All patients were divided into four groups by lower or higher median lectin binding signals for ECA, NPA and T score (T0, T1, and T2). The odds ratio for renal outcome was calculated by a logistic regression analysis. The box and neighboring number indicate the odds ratio, and the bar shows the standard error. *P < 0.05 (vs reference group). Abbreviations: ECA, Erythrina cristagalli lectin; NPA, Narcissus pseudonarcissus lectin; Ref, reference. (StataCorp. 2015. Stata Statistical Software: Release 14. College Station, TX: StataCorp LP)

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