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学科主题临床医学
Human Serum Metabonomic Analysis Reveals Progression Axes for Glucose Intolerance and Insulin Resistance Statuses
Zhang, Xiuying2; Wang, Yulan1; Hao, Fuhua1; Zhou, Xianghai2; Han, Xueyao2; Tang, Huiru1; Ji, Linong2
关键词Glucose Intolerance Insulin Resistance Metabonomics Nmr Gut Microbtota
刊名JOURNAL OF PROTEOME RESEARCH
2009-11-01
DOI10.1021/pr900524z
8期:11页:5188-5195
收录类别SCI
文章类型Article
WOS标题词Science & Technology
类目[WOS]Biochemical Research Methods
资助者National Basic Research Program of China ; National High Technology Research and Development Program ; National Natural Science Foundation of China ; Chinese Academy of Sciences ; National Basic Research Program of China ; National High Technology Research and Development Program ; National Natural Science Foundation of China ; Chinese Academy of Sciences
研究领域[WOS]Biochemistry & Molecular Biology
关键词[WOS]NUCLEAR-MAGNETIC-RESONANCE ; TYPE-2 DIABETES-MELLITUS ; MULTIVARIATE STATISTICAL-ANALYSIS ; GENOME-WIDE ASSOCIATION ; METABOLIC-RESPONSES ; SCHISTOSOMA-MANSONI ; BLOOD-PLASMA ; MODEL ; SPECTROSCOPY ; DISEASE
英文摘要

Understanding the metabolic basis of glucose intolerances and insulin resistance is essential to facilitate early diagnosis, satisfactory therapies and personalized treatments of type 2 diabetes (T2DM). Here, we analyzed the serum metabolic variations from 231 human participants with normal glucose tolerance (NGT, n = 80, M/F = 34/46, mean age 53 +/- 10 years), impaired glucose regulation (IGR, n = 77, M/F = 33/44, mean age 51 +/- 10 years) and T2DM (n = 74, M/F = 32/42, mean age 51 +/- 9 years) to establish the relationship between the serum metabolite compositions and the development of diabetes By using the proton nuclear magnetic resonance spectroscopy in conjunction with the multivariate data analysis, we found that the development of both glucose intolerances and insulin resistances are closely correlated with the progressive changes of human serum metabonome. Compared with NGT subjects, the IGR and T2DM participants showed clear dysfunctions of choline metabolism, glucose metabolism, lipid and amino acid metabolisms, and disruptions of TCA cycle. The insulin resistance statuses were closely associated with the serum metabonomic changes in terms of glucose, fatty acid and protein/amino acid metabolisms We also found greater metabonomic heterogeneity among the populations with T2DM and high insulin resistance status. These findings provide useful information to bridge the gaps in our understandings to the metabolic alterations associated with the progression of glucose intolerances and insulin resistance status

语种英语
所属项目编号200603503900 ; 200703914701 ; 2006AA02A409 ; 20825520 ; KSCX1-YW-02
资助者National Basic Research Program of China ; National High Technology Research and Development Program ; National Natural Science Foundation of China ; Chinese Academy of Sciences ; National Basic Research Program of China ; National High Technology Research and Development Program ; National Natural Science Foundation of China ; Chinese Academy of Sciences
WOS记录号WOS:000276949600027
引用统计
被引频次:86[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.bjmu.edu.cn/handle/400002259/57630
专题北京大学第二临床医学院
作者单位1.Chinese Acad Sci, State Key Lab Magnet Resonance & Atom & Mol Phys, Wuhan Ctr Magnet Resonance, Wuhan Inst Phys & Math, Wuhan 430071, Peoples R China
2.Peking Univ, Dept Endocrinol & Metab, Peoples Hosp, Ctr Diabet, Beijing 100044, Peoples R China
推荐引用方式
GB/T 7714
Zhang, Xiuying,Wang, Yulan,Hao, Fuhua,et al. Human Serum Metabonomic Analysis Reveals Progression Axes for Glucose Intolerance and Insulin Resistance Statuses[J]. JOURNAL OF PROTEOME RESEARCH,2009,8(11):5188-5195.
APA Zhang, Xiuying.,Wang, Yulan.,Hao, Fuhua.,Zhou, Xianghai.,Han, Xueyao.,...&Ji, Linong.(2009).Human Serum Metabonomic Analysis Reveals Progression Axes for Glucose Intolerance and Insulin Resistance Statuses.JOURNAL OF PROTEOME RESEARCH,8(11),5188-5195.
MLA Zhang, Xiuying,et al."Human Serum Metabonomic Analysis Reveals Progression Axes for Glucose Intolerance and Insulin Resistance Statuses".JOURNAL OF PROTEOME RESEARCH 8.11(2009):5188-5195.
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