High throughput profiling of whole plasma N-glycans in type II diabetes mellitus patients and healthy individuals: A perspective from a Ghanaian population
Authors/Creators
Eric Adua, Edith Cowan UniversityFollow
Elham Memarian
Alyce Russell, Edith Cowan UniversityFollow
Irena Trbojević-Akmačić
Ivan Gudelj
Julija Jurić
Peter Roberts, Edith Cowan UniversityFollow
Gordan Lauc
Wei Wang, Edith Cowan UniversityFollow
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.
RAS ID
28591
Document Type
Journal Article
Date of Publication
1-1-2019
ISSN
1096-0384
Volume
661
PubMed ID
30365935
School
School of Medical and Health Sciences
Grant Number
NHMRC : 1112767
Grant Link
http://purl.org/au-research/grants/nhmrc/1112767
Copyright
free_to_read
Publisher
Academic Press
Identifier
A. C. Russell
https://orcid.org/0000-0002-1667-7601
Peter Roberts
https://orcid.org/0000-0001-9591-3395
wei wang
Related Publications
Adua, E. (2018). N-Glycosylation profiles as a risk stratification biomarker for Type II Diabetes Mellitus and its associated factors. Retrieved from https://ro.ecu.edu.au/theses/2162
Recommended Citation
Adua, E., Memarian, E., Russell, A., Trbojević-Akmačić, I., Gudelj, I., Jurić, J., Roberts, P., Lauc, G., & Wang, W. (2019). High throughput profiling of whole plasma N-glycans in type II diabetes mellitus patients and healthy individuals: A perspective from a Ghanaian population. DOI: https://doi.org/10.1016/j.abb.2018.10.015
Comments
Adua, E., Memarian, E., Russell, A., Trbojević-Akmačić, I., Gudelj, I., Jurić, J., ... & Wang, W. (2019). High throughput profiling of whole plasma N-glycans in type II diabetes mellitus patients and healthy individuals: A perspective from a Ghanaian population. Archives of Biochemistry and Biophysics, 661, 10-21.
Available here.