Immunoglobulin G N-Glycans as potential postgenomic biomarkers for hypertension in the Kazakh population

Author Identifier

wei wang

https://orcid.org/0000-0002-1430-1360

Document Type

Journal Article

Publication Title

OMICS: A Journal of Integrative Biology

Publisher

Mary Ann Liebert, Inc. Publishers

Place of Publication

United States

School

School of Medical and Health Sciences

RAS ID

25086

Funders

National Health and Medical Research Council

Grant Number

NHMRC Number : 1112767

Comments

Gao, Q., Dolikun, M., Štambuk, J., Wang, H., Zhao, F., Yiliham, N., . . . Sun, Y. (2017). Immunoglobulin GN-glycans as potential postgenomic biomarkers for hypertension in the Kazakh population. OMICS: A Journal of Integrative Biology, 21(7), 380-389. https://doi.org/10.1089/omi.2017.0044

Abstract

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.

DOI

10.1089/omi.2017.0044

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