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Classification of Diabetes Volunteers Based on Plasma Amino Acids Metabolic Profiling
Xiao-Fei, Han1; Yu-Hong, Huang2; Long-Xing, Wang1; Qian-Xu, Yang1; Hong-Bin, Xiao1; De-Qin, Zhang2
关键词Amino Acids High Performance Liquid Chromatography Metabolic Profiling Diabetes
刊名CHINESE JOURNAL OF ANALYTICAL CHEMISTRY
2010-05-01
38期:5页:697-701
收录类别SCI
文章类型Article
WOS标题词Science & Technology ; Physical Sciences
类目[WOS]Chemistry, Analytical
研究领域[WOS]Chemistry
关键词[WOS]PERFORMANCE LIQUID-CHROMATOGRAPHY ; ORTHOGONAL SIGNAL CORRECTION ; NUCLEOSIDES ; DIAGNOSIS ; URINARY ; CANCER ; MARKER
英文摘要To study the relation of plasma amino acids metabolic profiling and diabetes blood sugar level by using metabolomics, an on-line pre-column o-phthalic dicarboxaldehyde ( OPA) derivatization HPLC method for the relative quantitative determination of 21 amino acids in plasma samples was developed. The derivatization procedure was accomplished by an online auto-injector and the signals were detected with a UV detector. Mobile phase A was 10 mmol/L Na(2)HPO(4)-Na(2)B(4)O(7) buffer at pH 7.95, and B was acetonitrile-methanol-water (45:45:10 by volume). The elution program was 5% B at the start and 46% B at the end in 30 min. The 21 amino acids were satisfactorily separated in 27 min. Fifty-one plasma samples from diabetes volunteers were analyzed and were pre-divided into blood sugar ( B. S.) <6.2 group and B. S > 9. 5 group. By SPSS and Matlab software platform, relation analysis was performed by using linear discriminant analysis, stepwise discriminant analysis, and scores plot models. By correlating the levels of blood sugar( B. S.) to 20 amino acids peak areas except glutamine, the results showed that the B. S. <6.2 group was discriminated from the B. S >9.5 group with a total hit ratio of 94.1%, stepwise discriminant analysis ( SDA) model indicated that 7 out of 20 amino acids,i.e., Arg, Cit, Leu, Asp, Asn, Thr and Trp essentially contributed to the above two groups division with the total hit ratio of 90.2%, which maybe have more means as potential marker groups for the early diagnosis of diabetes and in-depth research.
语种英语
WOS记录号WOS:000278208600018
引用统计
文献类型期刊论文
条目标识符http://cas-ir.dicp.ac.cn/handle/321008/141719
专题中国科学院大连化学物理研究所
作者单位1.Chinese Acad Sci, Dalian Inst Chem Phys, Dalian 116023, Peoples R China
2.Tianjin Univ Tradit Chinese Med, Tianjin 300193, Peoples R China
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GB/T 7714
Xiao-Fei, Han,Yu-Hong, Huang,Long-Xing, Wang,et al. Classification of Diabetes Volunteers Based on Plasma Amino Acids Metabolic Profiling[J]. CHINESE JOURNAL OF ANALYTICAL CHEMISTRY,2010,38(5):697-701.
APA Xiao-Fei, Han,Yu-Hong, Huang,Long-Xing, Wang,Qian-Xu, Yang,Hong-Bin, Xiao,&De-Qin, Zhang.(2010).Classification of Diabetes Volunteers Based on Plasma Amino Acids Metabolic Profiling.CHINESE JOURNAL OF ANALYTICAL CHEMISTRY,38(5),697-701.
MLA Xiao-Fei, Han,et al."Classification of Diabetes Volunteers Based on Plasma Amino Acids Metabolic Profiling".CHINESE JOURNAL OF ANALYTICAL CHEMISTRY 38.5(2010):697-701.
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