Literature DB >> 30365935

High throughput profiling of whole plasma N-glycans in type II diabetes mellitus patients and healthy individuals: A perspective from a Ghanaian population.

Eric Adua1, Elham Memarian2, Alyce Russell1, Irena Trbojević-Akmačić2, Ivan Gudelj2, Julija Jurić2, Peter Roberts1, Gordan Lauc3, Wei Wang4.   

Abstract

Aberrant protein glycosylation may reflect changes in cell metabolism of type II diabetes mellitus (T2DM) and offers fresh vistas for discovering potential biomarkers. However, the functional significance of T2DM N-glycan alterations is underexplored, since to date, N-glycan profiling studies have been performed in selected populations. Geographically and genetically isolated populations are needed for validation of specific biomarkers. This age-sex matched cross sectional study comprising 232 T2DM patients and 219 controls was conducted in Ghana, Western Africa. Blood plasma samples were collected for clinical assessment after which plasma N-glycans were freed and analysed by ultra-performance liquid chromatography (UPLC). High branching (HB) [W = 46328; q = 0.00072], tri-galactosylated (G3) [W = 44076; q = 0.00096], antennary fucosylated (FUC_A) [W = 43055; q = 0.0000763], and triantennary (TRIA) [W = 44624; q = 0.0025], N-glycan structures were increased in T2DM whereas low branching (LB) [W = 46328; q = 0.00072], non-sialylated (S0) [W = 46929; q = 0.00292], monogalactosylation (G1) [W = 44091; q = 0.0000763], core fucosylation (FUC_C), [W = 46497; q = 0.00096], biantennary galactosylation (A2G) [W = 45663; q = 0.000763], and biantennary (BA) [W = 46376; q = 0.00072], structures were decreased compared to controls. Nine N-glycan peaks (GPs (GP1, GP4, GP7, GP11, GP17, GP19, GP22, GP26, GP29)) were found to predict case status based on Akaike's information criterion (AIC) and Bayesian information criterion (BIC) model selection. Adjusting for age, sex and other co-variates in this model yielded an area under the curve (AUC) of 80.5% with sensitivity of 79% and specificity of 73%, indicating the predicting power of N-glycans as robust biomarkers. Our results show that hyperglycemia influences N-glycan complexities among Ghanaians. N-glycan profiling in distinct populations has affirmed the potentiality of N-glycan profiles as generic biomarkers which may facilitate better prognosis for T2DM.
Copyright © 2018 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Biomarker; N-Glycans; Type II diabetes mellitus; Ultra-performance liquid chromatography

Mesh:

Substances:

Year:  2018        PMID: 30365935     DOI: 10.1016/j.abb.2018.10.015

Source DB:  PubMed          Journal:  Arch Biochem Biophys        ISSN: 0003-9861            Impact factor:   4.013


  5 in total

1.  Glycosylation and Aging.

Authors:  Ana Cindrić; Jasminka Krištić; Marina Martinić Kavur; Marija Pezer
Journal:  Adv Exp Med Biol       Date:  2021       Impact factor: 3.650

2.  Multi-block data integration analysis for identifying and validating targeted N-glycans as biomarkers for type II diabetes mellitus.

Authors:  Eric Adua; Ebenezer Afrifa-Yamoah; Emmanuel Peprah-Yamoah; Enoch Odame Anto; Emmanuel Acheampong; Kwaafo Akoto Awuah-Mensah; Wei Wang
Journal:  Sci Rep       Date:  2022-06-29       Impact factor: 4.996

3.  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

4.  Plasma protein N-glycosylation is associated with cardiovascular disease, nephropathy, and retinopathy in type 2 diabetes.

Authors:  Elham Memarian; Leen M 't Hart; Mandy van Hoek; Viktoria Dotz; Roderick C Slieker; Roosmarijn F L Lemmers; Amber A van der Heijden; Femke Rutters; Giel Nijpels; Emma Schoep; Aloysius G Lieverse; Eric J G Sijbrands; Manfred Wuhrer
Journal:  BMJ Open Diabetes Res Care       Date:  2021-10

Review 5.  Glycosylation Biomarkers Associated with Age-Related Diseases and Current Methods for Glycan Analysis.

Authors:  Beatrix Paton; Manuel Suarez; Pol Herrero; Núria Canela
Journal:  Int J Mol Sci       Date:  2021-05-28       Impact factor: 5.923

  5 in total

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