title: Screening novel biomarkers for metabolic syndrome by profiling human plasma N-glycans in Chinese Han and Croatian populations.
abstract: 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.
authors.affiliation: School of Public Health and Family Medicine, Capital Medical University, Beijing, China.
authors.forename: Jia-Peng
authors.initials: JP
authors.lastname: Lu
authors.forename: Ana
authors.initials: A
authors.lastname: Knežević
authors.forename: You-Xin
authors.initials: YX
authors.lastname: Wang
authors.forename: Igor
authors.initials: I
authors.lastname: Rudan
authors.forename: Harry
authors.initials: H
authors.lastname: Campbell
authors.forename: Zhi-Kang
authors.initials: ZK
authors.lastname: Zou
authors.forename: Jie
authors.initials: J
authors.lastname: Lan
authors.forename: Qing-Xuan
authors.initials: QX
authors.lastname: Lai
authors.forename: Jing-Jing
authors.initials: JJ
authors.lastname: Wu
authors.forename: Yan
authors.initials: Y
authors.lastname: He
authors.forename: Man-Shu
authors.initials: MS
authors.lastname: Song
authors.forename: Ling
authors.initials: L
authors.lastname: Zhang
authors.forename: Gordan
authors.initials: G
authors.lastname: Lauc
authors.forename: Wei
authors.initials: W
authors.lastname: Wang
mesh_terms: D000293:Adolescent; D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D044466:Asian People; D015415:Biomarkers / Q000097:blood; D001798:Blood Proteins / Q000737:chemistry; D002240:Carbohydrate Sequence; D002681:China; D017523:Croatia; D005260:Female; D006023:Glycoproteins / Q000737:chemistry; D006031:Glycosylation; D006801:Humans; D008297:Male; D024821:Metabolic Syndrome / Q000097:blood* / Q000208:ethnology; D008875:Middle Aged; D008969:Molecular Sequence Data; D015999:Multivariate Analysis; D011134:Polysaccharides / Q000097:blood*; D044465:White People; D055815:Young Adult
chemical_list: D015415:Biomarkers; D001798:Blood Proteins; D006023:Glycoproteins; D011134:Polysaccharides