Next Article in Journal
Metabolomics Analysis of Urine Samples from Children after Acetaminophen Overdose
Previous Article in Journal
Impact of Soil Warming on the Plant Metabolome of Icelandic Grasslands
Article Menu
Issue 3 (September) cover image

Export Article

Open AccessArticle
Metabolites 2017, 7(3), 45; https://doi.org/10.3390/metabo7030045

Recommendations for Improving Identification and Quantification in Non-Targeted, GC-MS-Based Metabolomic Profiling of Human Plasma

1
Duke Molecular Physiology Institute, Duke University School of Medicine, Durham, NC 27701, USA
2
Department of Surgery, Duke University School of Medicine, Durham, NC 27710, USA
3
Division of Cardiology, Department of Medicine, Duke University School of Medicine, Durham, NC 27710, USA
*
Authors to whom correspondence should be addressed.
Received: 29 June 2017 / Revised: 18 August 2017 / Accepted: 23 August 2017 / Published: 25 August 2017
View Full-Text   |   Download PDF [1630 KB, uploaded 25 August 2017]   |  

Abstract

The field of metabolomics as applied to human disease and health is rapidly expanding. In recent efforts of metabolomics research, greater emphasis has been placed on quality control and method validation. In this study, we report an experience with quality control and a practical application of method validation. Specifically, we sought to identify and modify steps in gas chromatography-mass spectrometry (GC-MS)-based, non-targeted metabolomic profiling of human plasma that could influence metabolite identification and quantification. Our experimental design included two studies: (1) a limiting-dilution study, which investigated the effects of dilution on analyte identification and quantification; and (2) a concentration-specific study, which compared the optimal plasma extract volume established in the first study with the volume used in the current institutional protocol. We confirmed that contaminants, concentration, repeatability and intermediate precision are major factors influencing metabolite identification and quantification. In addition, we established methods for improved metabolite identification and quantification, which were summarized to provide recommendations for experimental design of GC-MS-based non-targeted profiling of human plasma. View Full-Text
Keywords: metabolomic profiling; GC-MS; human plasma metabolomic profiling; GC-MS; human plasma
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Supplementary material

SciFeed

Share & Cite This Article

MDPI and ACS Style

Wang, H.; Muehlbauer, M.J.; O’Neal, S.K.; Newgard, C.B.; Hauser, E.R.; Bain, J.R.; Shah, S.H. Recommendations for Improving Identification and Quantification in Non-Targeted, GC-MS-Based Metabolomic Profiling of Human Plasma. Metabolites 2017, 7, 45.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Metabolites EISSN 2218-1989 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top