Literature DB >> 29146600

N-Glycan Profile and Kidney Disease in Type 1 Diabetes.

Mairead L Bermingham1, Marco Colombo2, Stuart J McGurnaghan3, Luke A K Blackbourn3, Frano Vučković4, Maja Pučić Baković4, Irena Trbojević-Akmačić4, Gordan Lauc4, Felix Agakov5, Anna S Agakova5, Caroline Hayward6, Lucija Klarić2,6, Colin N A Palmer7, John R Petrie8, John Chalmers9, Andrew Collier10, Fiona Green11, Robert S Lindsay8, Sandra Macrury12, John A McKnight13, Alan W Patrick14, Sandeep Thekkepat15, Olga Gornik16, Paul M McKeigue2,5, Helen M Colhoun3,17.   

Abstract

OBJECTIVE: Poorer glycemic control in type 1 diabetes may alter N-glycosylation patterns on circulating glycoproteins, and these alterations may be linked with diabetic kidney disease (DKD). We investigated associations between N-glycans and glycemic control and renal function in type 1 diabetes. RESEARCH DESIGN AND METHODS: Using serum samples from 818 adults who were considered to have extreme annual loss in estimated glomerular filtration rate (eGFR; i.e., slope) based on retrospective clinical records, from among 6,127 adults in the Scottish Diabetes Research Network Type 1 Bioresource Study, we measured total and IgG-specific N-glycan profiles. This yielded a relative abundance of 39 total (GP) and 24 IgG (IGP) N-glycans. Linear regression models were used to investigate associations between N-glycan structures and HbA1c, albumin-to-creatinine ratio (ACR), and eGFR slope. Models were adjusted for age, sex, duration of type 1 diabetes, and total serum IgG.
RESULTS: Higher HbA1c was associated with a lower relative abundance of simple biantennary N-glycans and a higher relative abundance of more complex structures with more branching, galactosylation, and sialylation (GP12, 26, 31, 32, and 34, and IGP19 and 23; all P < 3.79 × 10-4). Similar patterns were seen for ACR and greater mean annual loss of eGFR, which were also associated with fewer of the simpler N-glycans (all P < 3.79 × 10-4).
CONCLUSIONS: Higher HbA1c in type 1 diabetes is associated with changes in the serum N-glycome that have elsewhere been shown to regulate the epidermal growth factor receptor and transforming growth factor-β pathways that are implicated in DKD. Furthermore, N-glycans are associated with ACR and eGFR slope. These data suggest that the role of altered N-glycans in DKD warrants further investigation.
© 2017 by the American Diabetes Association.

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Year:  2017        PMID: 29146600     DOI: 10.2337/dc17-1042

Source DB:  PubMed          Journal:  Diabetes Care        ISSN: 0149-5992            Impact factor:   19.112


  24 in total

1.  Lectin and Liquid Chromatography-Based Methods for Immunoglobulin (G) Glycosylation Analysis.

Authors:  Tea Petrović; Irena Trbojević-Akmačić
Journal:  Exp Suppl       Date:  2021

2.  Protein Glycosylation in Diabetes.

Authors:  Tamara Štambuk; Olga Gornik
Journal:  Adv Exp Med Biol       Date:  2021       Impact factor: 3.650

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.  The potential of N-glycosylation profiles as biomarkers for monitoring the progression of Type II diabetes mellitus towards diabetic kidney disease.

Authors:  Eric Adua; Enoch Odame Anto; Peter Roberts; Osei Sarfo Kantanka; Emmanuel Aboagye; Wei Wang
Journal:  J Diabetes Metab Disord       Date:  2018-11-17

5.  A General New Method for Calculating the Molecular Nonpolar Surface for Analysis of LC-MS Data.

Authors:  Rabin Dhakal; Reed Nieman; Daniel C A Valente; Thiago M Cardozo; Bhumika Jayee; Amna Aqdas; Wenjing Peng; Adelia J A Aquino; Yehia Mechref; Hans Lischka; Hanna Moussa
Journal:  Int J Mass Spectrom       Date:  2020-12-16       Impact factor: 1.986

6.  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

Review 7.  Glycosylation in health and disease.

Authors:  Colin Reily; Tyler J Stewart; Matthew B Renfrow; Jan Novak
Journal:  Nat Rev Nephrol       Date:  2019-06       Impact factor: 42.439

Review 8.  MS-based glycomics and glycoproteomics methods enabling isomeric characterization.

Authors:  Wenjing Peng; Cristian D Gutierrez Reyes; Sakshi Gautam; Aiying Yu; Byeong Gwan Cho; Mona Goli; Kaitlyn Donohoo; Stefania Mondello; Firas Kobeissy; Yehia Mechref
Journal:  Mass Spectrom Rev       Date:  2021-06-22       Impact factor: 9.011

9.  O- and N-Glycosylation of Serum Immunoglobulin A is Associated with IgA Nephropathy and Glomerular Function.

Authors:  Viktoria Dotz; Alessia Visconti; Hannah J Lomax-Browne; Florent Clerc; Agnes L Hipgrave Ederveen; Nicholas R Medjeral-Thomas; H Terence Cook; Matthew C Pickering; Manfred Wuhrer; Mario Falchi
Journal:  J Am Soc Nephrol       Date:  2021-06-14       Impact factor: 14.978

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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