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Large Scale Non-targeted Metabolomic Profiling of Serum by Ultra Performance Liquid Chromatography-Mass Spectrometry UPLC-MS
Published on: March 14, 2013
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Global Metabolomics Using LC-MS for Clinical Applications
Hanne Bendiksen Skogvold1, Elise Sandås Sand1, Katja Benedikte Prestø Elgstøen2
1Department of Medical Biochemistry, Oslo University Hospital, Oslo, Norway.
Methods in Molecular Biology (Clifton, N.J.)
|October 1, 2024
Summary
This study presents a global metabolomics method using liquid chromatography-mass spectrometry (LC-MS) for biomarker discovery. The versatile technique simplifies sample preparation for various biofluids, enhancing disease pathophysiology research.
Area of Science:
- Biochemistry
- Analytical Chemistry
- Biomedical Science
Background:
- Metabolomics aids in understanding disease pathophysiology and monitoring treatment effects.
- Global (untargeted) metabolomics facilitates hypothesis generation and biomarker discovery.
- Liquid chromatography-mass spectrometry (LC-MS) is a preferred technique due to its versatility, selectivity, and sensitivity.
Purpose of the Study:
- To present a global metabolomics method utilizing LC-electrospray ionization-MS/MS.
- To establish a robust and sensitive analytical approach for comprehensive metabolic profiling.
Main Methods:
- Employs reversed-phase chromatography on a diphenyl column.
- Utilizes a high-resolution Q Exactive Orbitrap MS with data-dependent acquisition for MS/MS spectra.
- Features simple, non-specific sample preparation for plasma, serum, dried blood spots, urine, and cerebrospinal fluid.
Main Results:
- The method demonstrates broad coverage of the metabolome across varying hydrophobicity and compound classes.
- Achieves high sensitivity and selectivity for a wide range of analytes.
- Minimizes analyte loss through simplified, non-specific sample preparation protocols.
Conclusions:
- The presented global metabolomics LC-MS/MS method is suitable for hypothesis-generating research and biomarker discovery.
- The method's simplicity and broad coverage make it valuable for diverse biomedical applications.
- Facilitates deeper insights into disease mechanisms and treatment responses through comprehensive metabolic profiling.
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