Metabolite Profiling of a NIST Standard Reference Material for Human Plasma (SRM 1950): GC-MS, LC-MS, NMR, and Clinical Laboratory Analyses, Libraries, and Web-Based Resources
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- 作者：Yamil Sim贸n-Manso ; Mark S. Lowenthal ; Lisa E. Kilpatrick ; Maureen L. Sampson ; Kelly H. Telu ; Paul A. Rudnick ; W. Gary Mallard ; Daniel W. Bearden ; Tracey B. Schock ; Dmitrii V. Tchekhovskoi ; Niksa Blonder ; Xinjian Yan ; Yuxue Liang ; Yufang Zheng ; William E. Wallace ; Pedatsur Neta ; Karen W. Phinney ; Alan T. Remaley ; Stephen E. Stein
- 刊名：Analytical Chemistry
- 出版年：2013
- 出版时间：December 17, 2013
- 年：2013
- 卷：85
- 期：24
- 页码：11725-11731
- 全文大小：304K
- 年卷期：v.85,no.24(December 17, 2013)
- ISSN：1520-6882
文摘
Recent progress in metabolomics and the development of increasingly sensitive analytical techniques have renewed interest in global profiling, i.e., semiquantitative monitoring of all chemical constituents of biological fluids. In this work, we have performed global profiling of NIST SRM 1950, 鈥淢etabolites in Human Plasma鈥? using GC-MS, LC-MS, and NMR. Metabolome coverage, difficulties, and reproducibility of the experiments on each platform are discussed. A total of 353 metabolites have been identified in this material. GC-MS provides 65 unique identifications, and most of the identifications from NMR overlap with the LC-MS identifications, except for some small sugars that are not directly found by LC-MS. Also, repeatability and intermediate precision analyses show that the SRM 1950 profiling is reproducible enough to consider this material as a good choice to distinguish between analytical and biological variability. Clinical laboratory data shows that most results are within the reference ranges for each assay. In-house computational tools have been developed or modified for MS data processing and interactive web display. All data and programs are freely available online at href="http://peptide.nist.gov/" class="extLink">http://peptide.nist.gov/ and href="http://srmd.nist.gov/" class="extLink">http://srmd.nist.gov/.