Literature DB >> 31526239

Type 2 Diabetes Mellitus is Associated with the Immunoglobulin G N-Glycome through Putative Proinflammatory Mechanisms in an Australian Population.

Xingang Li1, Hao Wang1,2, Alyce Russell1,3, Weijie Cao2, Xueqing Wang1, Siqi Ge1,4, Yulu Zheng1, Zheng Guo1, Haifeng Hou5, Manshu Song1,2, Xinwei Yu1,6, Youxin Wang2, Michael Hunter3,7, Peter Roberts1, Gordan Lauc8,9, Wei Wang1,5,10.   

Abstract

Type 2 diabetes mellitus (T2DM) is a common complex trait arising from interactions among multiple environmental, genomic, and postgenomic factors. We report here the first attempt to investigate the association between immunoglobulin G (IgG) N-glycan patterns, T2DM, and their clinical risk factors in an Australian population. N-glycosylation of proteins is one of the most frequently observed co- and post-translational modifications, reflecting, importantly, the real-time status of the interplay between the genomic and postgenomic factors. In a community-based case-control study, 849 participants (217 cases and 632 controls) were recruited from an urban community in Busselton, Western Australia. We applied the ultraperformance liquid chromatography method to analyze the composition of IgG N-glycans. We then conducted Spearman's correlation analyses to explore the association between glycan biomarker candidates and clinical risk factors. We performed area under the curve (AUC) analysis of the receiver operating characteristic curves by fivefold cross-validation for clinical risk factors, IgG glycans, and their combination. Two directly measured and four derived glycan peaks were significantly associated with T2DM, after correction for extensive clinical confounders and false discovery rate, thus suggesting that IgG N-glycan traits are highly correlated with T2DM clinical risk factors. Moreover, adding the IgG glycan profiles to fasting blood glucose in the logistic regression model increased the AUC from 0.799 to 0.859. The AUC for IgG glycans alone was 0.623 with a 95% confidence interval 0.580-0.666. In addition, our study provided new evidence of diversity in T2DM complex trait by IgG N-glycan stratification. Six IgG glycan traits were firmly associated with T2DM, which reflects an increased proinflammatory and biological aging status. In summary, our study reports novel associations between the IgG N-glycome and T2DM in an Australian population and the putative role of proinflammatory mechanisms. Furthermore, IgG N-glycomic alterations offer future prospects as inflammatory biomarker candidates for T2DM diagnosis, and monitoring of T2DM progression to cardiovascular disease or renal failure.

Entities:  

Keywords:  Australian population; IgG; biomarkers; glycomics; inflammation; type 2 diabetes mellitus

Mesh:

Substances:

Year:  2019        PMID: 31526239     DOI: 10.1089/omi.2019.0075

Source DB:  PubMed          Journal:  OMICS        ISSN: 1536-2310


  5 in total

1.  Plasma N-glycome shows continuous deterioration as the diagnosis of insulin resistance approaches.

Authors:  Ana Cvetko; Massimo Mangino; Cristina Menni; Olga Gornik; Marko Tijardović; Domagoj Kifer; Mario Falchi; Toma Keser; Markus Perola; Tim D Spector; Gordan Lauc
Journal:  BMJ Open Diabetes Res Care       Date:  2021-09

2.  Association of dementia with immunoglobulin G N-glycans in a Chinese Han Population.

Authors:  Xiaoyu Zhang; Hui Yuan; Jihui Lyu; Xiaoni Meng; Qiuyue Tian; Yuejin Li; Jie Zhang; Xizhu Xu; Jing Su; Haifeng Hou; Dong Li; Baoliang Sun; Wei Wang; Youxin Wang
Journal:  NPJ Aging Mech Dis       Date:  2021-02-04

3.  Expression Profile of Immunoglobulin G Glycosylation in Children With Epilepsy in Han Nationality.

Authors:  Yuejin Li; Fengxue Shi; Guanglei Wang; Jian Lv; Haitao Zhang; Hao Jin; Xueyu Chen; Meng Wang; Peirui Li; Long Ji
Journal:  Front Mol Neurosci       Date:  2022-07-01       Impact factor: 6.261

4.  Immunoglobulin G N-glycan, inflammation and type 2 diabetes in East Asian and European populations: a Mendelian randomization study.

Authors:  Biyan Wang; Di Liu; Manshu Song; Wei Wang; Bo Guo; Youxin Wang
Journal:  Mol Med       Date:  2022-09-14       Impact factor: 6.376

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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