= Discovery stage.
= Translation stage.
= Clinically available.
MSACL 2018 EU : Memarian

MSACL 2018 EU Abstract

Self-Classified Topic Area(s): Glycomics

HT UPLC Profiling of Total Plasma N-Glycans in Type II Diabetes Mellitus from Patients and Healthy Individuals in a Ghanaian Population

Elham Memarian(1), Eric Adua (2), Alyce Russell(2), Irena Trbojeviæ- Akmaèiæ(1),Ivan Gudelj(1),Julija Juriæ(1),Peter Roberts(2),Gordan Lauc(1,3),Wei Wang(2,4,5)
(1)Genos Glycoscience Research Laboratory, 10000 Zagreb, Croatia (2)School of Medical and Health Sciences, Edith Cowan University, 6027, WA, Australia(3)University of Zagreb, Faculty of Pharmacy and Biochemistry, 10000 Zagreb, Croatia (4)School of Public Health, Taishan Medical University, Taian 271000, Shandong, China (5)Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing 100069, China


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 Elham Memarian (Presenter)
Leiden University medical centre

Presenter Bio: I, Elham Memarian, am a PhD student at centre for proteomics and metabolomics in Leiden university medical centre. I was able to be a Master graduated in analytical chemistry from the faculty of chemistry at Shahid Beheshti University (Tehran, Iran).
In June 2017, I started my Glysign PhD project, conducting reaserch at Genos Ltd., Zagreb, Croatia, and the Leiden University Medical Centre (LUMC) in Leiden, the Netherlands. My research is geared towards the quantification of serum protein glycosylation in diabetes.


Relevant Financial Disclosures (within past 24 months)
Grant/Research Support Grant Agreement number: GlySign — H2020-MSCA-ITN-2016/H2020-MSCA-ITN-2016
Salary Genos Ltd., Zagreb, Croatia

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 mainly performed in selected populations. Geographically and genetically isolated populations are needed for validation of specific biomarkers.