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Plasma metabolomic profiles in association with type 2 diabetes risk and prevalence in Chinese adults

Published on Jan 1, 2016in Metabolomics3.17
· DOI :10.1007/s11306-015-0890-8
Danxia Yu16
Estimated H-index: 16
(Vandy: Vanderbilt University),
Steven C. Moore39
Estimated H-index: 39
+ 5 AuthorsXiao-Ou Shu96
Estimated H-index: 96
(Vandy: Vanderbilt University)
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Abstract
Metabolomic studies have identified several metabolites associated with type 2 diabetes (T2D) in populations of European ancestry. East Asians, a population of particular susceptibility to T2D, were generally not included in previous studies. We examined the associations of plasma metabolites with risk and prevalence of T2D in 976 Chinese men and women (40–74 years of age) who were participants of two prospective cohort studies and had no cardiovascular disease or cancer at baseline. Sixty-eight prevalent and 73 incident T2D cases were included. Non-targeted metabolomics was conducted that detected 689 metabolites with known identities and 690 unknown metabolites. Multivariable logistic and Cox regressions were used to evaluate the associations of standardized metabolites with diabetes risk and prevalence. We identified 36 known metabolites and 10 unknown metabolites associated with prevalent and/or incident T2D at false discovery rate <0.05. The known metabolites are involved in metabolic pathways of glycolysis/gluconeogenesis, branched-chain amino acids, other amino acids, fatty acids, glycerophospholipids, androgen, and bradykinin. Six metabolites showed independent associations with incident T2D: 1,5-anhydroglucitol, mannose, valine, 3-methoxytyrosine, docosapentaenoate (22:5n3), and bradykinin-hydroxy-pro(3). Each standard deviation increase in these metabolites was associated with a 40–150 % change in risk of developing diabetes (30–80 % after further adjustment for glucose). Risk prediction was significantly improved by adding these metabolites in addition to known T2D risk factors, including central obesity and glucose. These findings suggest that hexoses, branched-chain amino acids, and yet to be validated novel plasma metabolites may improve risk prediction and mechanistic understanding of T2D in Chinese populations.
  • References (54)
  • Citations (20)
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References54
Newest
#1Xiao-Ou Shu (Vandy: Vanderbilt University)H-Index: 96
#2Honglan Li (SJTU: Shanghai Jiao Tong University)H-Index: 44
Last.Yong-Bing Xiang (SJTU: Shanghai Jiao Tong University)H-Index: 41
view all 8 authors...
#1C W Ma Ronald (CUHK: The Chinese University of Hong Kong)H-Index: 46
#2Xu(林旭) Lin (CAS: Chinese Academy of Sciences)H-Index: 1
Last.Weiping Jia (SJTU: Shanghai Jiao Tong University)H-Index: 54
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#1C N Chan Juliana (CUHK: The Chinese University of Hong Kong)H-Index: 75
#2Yuying Zhang (CUHK: The Chinese University of Hong Kong)H-Index: 8
Last.Guang Ning (SJTU: Shanghai Jiao Tong University)H-Index: 5
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#1Jared R. Mayers (MIT: Massachusetts Institute of Technology)H-Index: 13
#2Chen Wu (Harvard University)H-Index: 37
Last.Shelley S. Tworoger (Harvard University)H-Index: 57
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#1Steven C. Moore (NIH: National Institutes of Health)H-Index: 39
#2Charles E. Matthews (NIH: National Institutes of Health)H-Index: 53
Last.Amanda J. Cross (NIH: National Institutes of Health)H-Index: 47
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#1Meiyi Zhou (SJTU: Shanghai Jiao Tong University)H-Index: 4
#2Shao Jing (SJTU: Shanghai Jiao Tong University)
Last.Ji Wang (SJTU: Shanghai Jiao Tong University)
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#1Bing Yu (University of Texas Health Science Center at Houston)H-Index: 15
#2Krista A. ZanettiH-Index: 15
Last.Clary B. Clish (MIT: Massachusetts Institute of Technology)H-Index: 69
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#2Mohsen Nafar (Shahid Beheshti University of Medical Sciences and Health Services)H-Index: 17
Last.Shiva Kalantari (Shahid Beheshti University of Medical Sciences and Health Services)H-Index: 6
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#1Liang Sun (CAS: Chinese Academy of Sciences)H-Index: 10
#2Huaixing Li (CAS: Chinese Academy of Sciences)H-Index: 21
Last.Xu Lin (CAS: Chinese Academy of Sciences)H-Index: 27
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#1Jiaqi Huang (NIH: National Institutes of Health)H-Index: 3
#2Stephanie J. Weinstein (NIH: National Institutes of Health)H-Index: 51
Last.Demetrius Albanes (NIH: National Institutes of Health)H-Index: 102
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#1Jia Liu (Tianjin University of Traditional Chinese Medicine)H-Index: 1
#2Ziqiang Li (Tianjin University of Traditional Chinese Medicine)H-Index: 3
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