Concurrent profiling of polar metabolites and lipids in human plasma using HILIC-FTMS

被引:23
作者
Cai, Xiaoming [1 ,3 ]
Li, Ruibin [2 ,4 ]
机构
[1] Soochow Univ, Sch Publ Hlth, Suzhou 215123, Peoples R China
[2] Soochow Univ, Sch Radiol & Interdisciplinary Sci RAD X, Collaborat Innovat Ctr Radiat Med Jiangsu Higher, Suzhou 215123, Peoples R China
[3] Univ Calif Irvine, Dept Pharmacol, Irvine, CA 92697 USA
[4] Univ Calif Los Angeles, Dept Med, Div NanoMed, Los Angeles, CA 90095 USA
基金
中国国家自然科学基金;
关键词
MASS-SPECTROMETRY; LC-MS; METABOLOMICS; CHROMATOGRAPHY; BLOOD; IDENTIFICATION; MECHANISMS; EXTRACTION; BIOMARKERS; STANDARD;
D O I
10.1038/srep36490
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Blood plasma is the most popularly used sample matrix for metabolite profiling studies, which aim to achieve global metabolite profiling and biomarker discovery. However, most of the current studies on plasma metabolite profiling focused on either the polar metabolites or lipids. In this study, a comprehensive analysis approach based on HILIC-FTMS was developed to concurrently examine polar metabolites and lipids. The HILIC-FTMS method was developed using mixed standards of polar metabolites and lipids, the separation efficiency of which is better in HILIC mode than in C5 and C18 reversed phase (RP) chromatography. This method exhibits good reproducibility in retention times (CVs < 3.43%) and high mass accuracy (< 3.5 ppm). In addition, we found MeOH/ACN/Acetone (1: 1: 1, v/v/v) as extraction cocktail could achieve desirable gathering of demanded extracts from plasma samples. We further integrated the MeOH/ACN/Acetone extraction with the HILIC-FTMS method for metabolite profiling and smoking-related biomarker discovery in human plasma samples. Heavy smokers could be successfully distinguished from non smokers by univariate and multivariate statistical analysis of the profiling data, and 62 biomarkers for cigarette smoke were found. These results indicate that our concurrent analysis approach could be potentially used for clinical biomarker discovery, metabolite-based diagnosis, etc.
引用
收藏
页数:10
相关论文
共 53 条
[1]  
Axelsen PH, 2010, J LIPID RES, V51, P660, DOI [10.1194/jlr.d001750, 10.1194/jlr.D001750]
[2]   Metabolomics: from small molecules to big ideas [J].
Baker, Monya .
NATURE METHODS, 2011, 8 (02) :117-121
[3]  
BLIGH EG, 1959, CAN J BIOCHEM PHYS, V37, P911
[4]  
Breitling R., 2012, METABOLOMIC SYSTEMS, P73
[5]   Investigation of Human Blood Plasma Sample Preparation for Performing Metabolomics Using Ultrahigh Performance Liquid Chromatography/Mass Spectrometry [J].
Bruce, Stephen J. ;
Tavazzi, Isabelle ;
Parisod, Veronique ;
Rezzi, Serge ;
Kochhar, Sunil ;
Guy, Philippe A. .
ANALYTICAL CHEMISTRY, 2009, 81 (09) :3285-3296
[6]   Identification of novel toxicity-associated metabolites by metabolomics and mass isotopomer analysis of acetaminophen metabolism in wild-type and Cyp2e1-null mice [J].
Chen, Chi ;
Krausz, Kristopher W. ;
Idle, Jeffrey R. ;
Gonzalez, Frank J. .
JOURNAL OF BIOLOGICAL CHEMISTRY, 2008, 283 (08) :4543-4559
[7]   LC-MS-based Metabolomics of Xenobiotic-induced Toxicities [J].
Chen, Chi ;
Kim, Sangyub .
COMPUTATIONAL AND STRUCTURAL BIOTECHNOLOGY JOURNAL, 2013, 4 (05)
[8]   UHPLC/Q-TOFMS-based plasma metabolomics of polycystic ovary syndrome patients with and without insulin resistance [J].
Chen, Ya-Xiao ;
Zhang, Xiao-Jing ;
Huang, Jia ;
Zhou, Shu-Jun ;
Liu, Fang ;
Jiang, Lin-Lin ;
Chen, Meiwan ;
Wan, Jian-Bo ;
Yang, Dong-Zi .
JOURNAL OF PHARMACEUTICAL AND BIOMEDICAL ANALYSIS, 2016, 121 :141-150
[9]   Nontargeted Quantitation of Lipid Classes Using Hydrophilic Interaction Liquid Chromatography-Electrospray Ionization Mass Spectrometry with Single Internal Standard and Response Factor Approach [J].
Cifkova, Eva ;
Holcapek, Michal ;
Lisa, Miroslav ;
Ovcacikova, Magdalena ;
Lycka, Antonin ;
Lynen, Frederic ;
Sandra, Pat .
ANALYTICAL CHEMISTRY, 2012, 84 (22) :10064-10070
[10]   Metabolic Profiling as a Tool for Understanding Mechanisms of Toxicity [J].
Clarke, Christopher J. ;
Haselden, John N. .
TOXICOLOGIC PATHOLOGY, 2008, 36 (01) :140-147