Screening Novel Biomarkers for Metabolic Syndrome by Profiling Human Plasma N-Glycans in Chinese Han and Croatian Populations

N-glycans play an essential role in biological process and are associated with age, gender, and body mass parameters in Caucasian populations, whereas no study has been reported in Chinese populations. To investigate the correlation between N-glycan structures and metabolic syndrome (MetS) component...

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Bibliographic Details
Published in:Journal of proteome research 2011-11, Vol.10 (11), p.4959-4969
Main Authors: Lu, Jia-Peng, Knežević, Ana, Wang, You-Xin, Rudan, Igor, Campbell, Harry, Zou, Zhi-Kang, Lan, Jie, Lai, Qing-Xuan, Wu, Jing-Jing, He, Yan, Song, Man-Shu, Zhang, Ling, Lauc, Gordan, Wang, Wei
Format: Article
Language:English
Subjects:
Adolescent
Adult
Aged
Aged, 80 and over
Asian Continental Ancestry Group
Biomarkers - blood
Blood Proteins - chemistry
Carbohydrate Sequence
China
Croatia
European Continental Ancestry Group
Female
Glycoproteins - chemistry
Glycosylation
Humans
Male
Metabolic Syndrome - blood
Metabolic Syndrome - ethnology
Middle Aged
Molecular Sequence Data
Multivariate Analysis
Polysaccharides - blood
Young Adult
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Summary:N-glycans play an essential role in biological process and are associated with age, gender, and body mass parameters in Caucasian populations, whereas no study has been reported in Chinese populations. To investigate the correlation between N-glycan structures and metabolic syndrome (MetS) components, we conducted a population-based study in 212 Chinese Han individuals. The replication study was performed on 520 unrelated individuals from a Croatian island Korčula. The most prominent observation was the consistent positive correlations between different forms of triantennary glycans and negative correlations between glycans containing core-fucose with MetS components including BMI, SBP, DBP, and fasting plasma glucose (FPG) simultaneously. Significant differences in a number of N-glycan traits were also detected between normal and abnormal groups of BMI, BP, and FPG, respectively. In the multivariate analysis, the level of monosialylated glycans (structure loadings = −0.776) was the most correlated with the MetS related risk factors, especially with SBP (structure loadings = 0.907). Results presented here are showing that variations in the composition of the N-glycome in human plasma could represent the alternations of human metabolism and could be potential biomarkers of MetS.
ISSN:1535-3893
1535-3907
DOI:10.1021/pr2004067