文献类型：期刊文献

英文题名：Phospholipidomic identification of potential plasma biomarkers associated with type 2 diabetes mellitus and diabetic nephropathy

作者：Zhu, Chao[1,2];Liang, Qiong-lin[1];Hu, Ping[3];Wang, Yi-ming[1];Luo, Guo-an[1,2]

机构：[1]Tsinghua Univ, Key Lab Bioorgan Phosphorus Chem & Chem Biol, Minist Educ, Dept Chem, Beijing 100084, Peoples R China;[2]E China Univ Sci & Technol, Sch Pharm, Shanghai 200237, Peoples R China;[3]E China Univ Sci & Technol, Sch Chem & Mol Engn, Shanghai 200237, Peoples R China

年份：2011

卷号：85

期号：4

起止页码：1711

外文期刊名：TALANTA

收录：;EI(收录号：20113514290521);WOS:【SCI-EXPANDED(收录号:WOS:000295393000003)】；

基金：The authors acknowledge the supports of China-Japan Friendship Hospital (Beijing, China) who offered samples. This investigation was funded by grants from the National Basic Research Development Program of China (973 Program, No. 2005CB523503, No. 2007CB714505), and from the National Natural Science Foundations of China (No. 20805026, No. 90709045), and from Ministry of Education of the People's Republic of China (No. 20080031012). We wish to thank Heng Wei and Theo Reijmers (Leiden University, the Netherlands) for their valuable data processing assistance.

语种：英文

外文关键词：Phospholipids; Phospholipidomic; Type 2 diabetes mellitus; Diabetic nephropathy; Potential biomarkers

摘要：Type 2 diabetes mellitus (T2DM) and its attendant complications, such as diabetic nephropathy (DN), impose a significant societal and economic burden. The investigation of discovering potential biomarkers for T2DM and DN will facilitate the prediction and prevention of diabetes. Phospholipids (PLs) and their metabolisms are closely allied to nosogenesis and aggravation of T2DM and DN. The aim of this study is to characterize the human plasma phospholipids in T2DM and ON to identify potential biomarkers of T2DM and DN. Normal phase liquid chromatography coupled with time of flight mass spectrometry (NPLC-TOF/MS) was applied to the plasma phospholipids metabolic profiling of T2DM and DN. The plasma samples from control (n = 30), T2DM subjects (n = 30), and DN subjects (n = 52) were collected and analyzed. The significant difference in metabolic profiling was observed between healthy control group and DM group as well as between control group and ON group by the help of partial least squares discriminant analysis (PLS-DA). PLS-DA and one-way analysis of variance (ANOVA) were successfully used to screen out potential biomarkers from complex mass spectrometry data. The identification of molecular components of potential biomarkers was performed on Ion trap-MS/MS. An external standard method was applied to quantitative analysis of potential biomarkers. As a result, 18 compounds in 7 PL classes with significant regulation in patients compared with healthy controls were regarded as potential biomarkers for T2DM or DN. Among them, 3 DM-specific biomarkers, 8 ON-specific biomarkers and 7 common biomarkers to DM and DN were identified. Ultimately, 2 novel biomarkers, i.e.. PI C18:0/22:6 and SM dC18:0/20:2, can be used to discriminate healthy individuals. T2DM cases and ON cases from each other group. (C) 2011 Elsevier B.V. All rights reserved.