Literature DB >> 31215021

Altered N-glycosylation profiles as potential biomarkers and drug targets in diabetes.

Najda Rudman1, Olga Gornik1,2, Gordan Lauc1,2.   

Abstract

N-glycosylation is a ubiquitous protein modification, and N-glycosylation profiles are emerging as both biomarkers and functional effectors in various types of diabetes. Genome-wide association studies identified glycosyltransferase genes as candidate causal genes for type 1 and type 2 diabetes. Studies focused on N-glycosylation changes in type 2 diabetes demonstrated that patients can be distinguished from healthy controls based on N-glycome composition. In addition, individuals at an increased risk of future disease development could be identified based on N-glycome profiles. Moreover, accumulating evidence indicates that N-glycans have a major role in preventing the impairment of glucose-stimulated insulin secretion by maintaining the glucose transporter in proper orientation, indicating that interindividual variation in protein N-glycosylation might be a novel risk factor contributing to diabetes development. Defective N-glycosylation of T cells has been implicated in type 1 diabetes pathogenesis. Furthermore, studies of N-glycan alterations have successfully been used to identify individuals with rare types of diabetes (such as the HNF1A-MODY), and also to evaluate functional significance of novel diabetes-associated mutations. In conclusion, both N-glycans and glycosyltransferases emerge as potential therapeutic targets in diabetes.
© 2019 Federation of European Biochemical Societies.

Entities:  

Keywords:  HNF1A-MODY; N-glycosylation; glycosyltransferase; type 1 diabetes; type 2 diabetes

Mesh:

Substances:

Year:  2019        PMID: 31215021     DOI: 10.1002/1873-3468.13495

Source DB:  PubMed          Journal:  FEBS Lett        ISSN: 0014-5793            Impact factor:   4.124


  31 in total

1.  Protein Glycosylation in Diabetes.

Authors:  Tamara Štambuk; Olga Gornik
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2.  An Integrative Glycomic Approach for Quantitative Meat Species Profiling.

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Journal:  Foods       Date:  2022-06-30

3.  Children at onset of type 1 diabetes show altered N-glycosylation of plasma proteins and IgG.

Authors:  Najda Rudman; Domagoj Kifer; Simranjeet Kaur; Vesna Simunović; Ana Cvetko; Flemming Pociot; Grant Morahan; Olga Gornik
Journal:  Diabetologia       Date:  2022-05-27       Impact factor: 10.460

4.  Neurological Consequences of Congenital Disorders of Glycosylation.

Authors:  Justyna Paprocka
Journal:  Adv Neurobiol       Date:  2023

5.  A simple lectin-based biochip might display the potential clinical value of glycomics in patients with spontaneous intracerebral hemorrhage.

Authors:  Lei Ye; Yong-Sheng Fang; Xiao-Xue Li; Yi Gao; Sheng-Sheng Liu; Qiang Chen; Qiang Wu; Hong-Wei Cheng; Wei-Dong Du
Journal:  Ann Transl Med       Date:  2021-04

6.  Interlaboratory evaluation of plasma N-glycan antennary fucosylation as a clinical biomarker for HNF1A-MODY using liquid chromatography methods.

Authors:  Daniel Demus; Bas C Jansen; Richard A Gardner; Paulina A Urbanowicz; Haiyang Wu; Tamara Štambuk; Agata Juszczak; Edita Pape Medvidović; Nathalie Juge; Olga Gornik; Katharine R Owen; Daniel I R Spencer
Journal:  Glycoconj J       Date:  2021-03-25       Impact factor: 2.916

Review 7.  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

8.  Analysis of the SARS-CoV-2 spike protein glycan shield reveals implications for immune recognition.

Authors:  Oliver C Grant; David Montgomery; Keigo Ito; Robert J Woods
Journal:  Sci Rep       Date:  2020-09-14       Impact factor: 4.379

9.  Virus-Receptor Interactions of Glycosylated SARS-CoV-2 Spike and Human ACE2 Receptor.

Authors:  Peng Zhao; Jeremy L Praissman; Oliver C Grant; Yongfei Cai; Tianshu Xiao; Katelyn E Rosenbalm; Kazuhiro Aoki; Benjamin P Kellman; Robert Bridger; Dan H Barouch; Melinda A Brindley; Nathan E Lewis; Michael Tiemeyer; Bing Chen; Robert J Woods; Lance Wells
Journal:  bioRxiv       Date:  2020-07-24

10.  Insights into non-autoimmune type 1 diabetes with 13 novel loci in low polygenic risk score patients.

Authors:  Jingchun Qu; Hui-Qi Qu; Jonathan P Bradfield; Joseph T Glessner; Xiao Chang; Lifeng Tian; Michael March; John J Connolly; Jeffrey D Roizen; Patrick M A Sleiman; Hakon Hakonarson
Journal:  Sci Rep       Date:  2021-08-06       Impact factor: 4.379

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