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OMICS. 2017 Jul;21(7):380-389. doi: 10.1089/omi.2017.0044.

Immunoglobulin G N-Glycans as Potential Postgenomic Biomarkers for Hypertension in the Kazakh Population.

Gao Q1,2, Dolikun M3, Štambuk J4, Wang H1,2, Zhao F1,2, Yiliham N3, Wang Y1,2, Trbojević-Akmačić I4, Zhang J1,2, Fang H1,2, Sun Y1,2, Peng H1,2, Zhao Z1,2, Liu D1,2, Liu J1,2, Li Q1,2, Sun Q1,2, Wu L1,2, Lauc G4,5, Wang W1,2,6, Song M1,2.

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1 School of Public Health, Capital Medical University , Beijing, China .
2 Municipal Key Laboratory of Clinical Epidemiology , Beijing, China .
3 College of the Life Sciences and Technology, Xinjiang University , Urumqi, China .
4 Genos Glycoscience Research Laboratory , Zagreb, Croatia .
5 Faculty of Pharmacy and Biochemistry, University of Zagreb , Zagreb, Croatia .
6 School of Medical and Health Sciences, Edith Cowan University , Perth, Australia .


Next-generation (postgenomic) biomarkers from the nascent field of glycomics now offer fresh vistas for innovation in chronic disease biomarkers and system diagnostics in clinical medicine. Our previous work has shown an association between hypertension and immunoglobulin G (IgG) glycome composition, suggesting that individual variation in N-glycosylation of IgG might contribute to hypertension pathogenesis. The present study examined, for the first time to the best of our knowledge, the IgG N-glycans as potential biomarkers for hypertension in the Kazakh population. The profile of 60 N-glycopeptides of IgG subclass isolated from plasma samples of 150 Kazakh study participants was analyzed by nano ultra-performance liquid chromatography with mass spectrometry. Fourteen IgG subclass-specific Fc N-glycopeptide structures, along with one derived glycosylation trait in subclasses IgG2/3 and IgG4, were found to correlate with systolic blood pressure and/or diastolic blood pressure. For differentiation of hypertension and healthy status in the Kazakh population sample, the receiver operating characteristic curve analysis showed that the performance of the model, including nine IgG N-glycans, was greater than the traditional gender, age, and body mass index based model (p < 0.05). This study indicates that alteration in Fc N-glycopeptide profiles of plasma IgG subclasses is associated with blood pressure status in the Kazakh population. IgG N-glycosylation profiles may serve as potential biomarkers for hypertension in the Kazakhs, thus contributing to move toward personalized medicine. Further studies of postgenomic glycomic biomarkers in cardiovascular and chronic diseases are timely and called for.


Kazakh population; biomarkers; glycomics; hypertension; postgenomic diagnostics

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