4.7 Article

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

期刊

JOURNAL OF PROTEOME RESEARCH
卷 10, 期 11, 页码 4959-4969

出版社

AMER CHEMICAL SOC
DOI: 10.1021/pr2004067

关键词

N-glycan; Chinese; age; metabolic syndrome (MetS); body mass index (BMI); blood pressure (BP); fasting plasma glucose (FPG)

资金

  1. National Science & Technology Major Special Project on Major New Drug Innovation [2010ZX09401]
  2. Major State Basic Research Program-973 of China [2011CB503806]
  3. National Natural Science Foundation of China [30901238, 30800949, 31070727, 81001281]
  4. Newborn Star of Science Program [2009A47]
  5. Funding Project for Academic Human Resources Development in IHLB [PHR201008393]
  6. National High Technology Research and Development Program-863 of China [2006AA02Z434]
  7. Croatian Ministry of Science, Education and Sport [309-0061194-2023]
  8. European Commission
  9. Medical Research Council UK

向作者/读者索取更多资源

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 Korcula. 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.

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