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- Zahir Alshehry
- Baker IDI, Heart and Diabetes Institute, Melbourne, VIC 3004, Australia
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- Christopher Barlow
- Baker IDI, Heart and Diabetes Institute, Melbourne, VIC 3004, Australia
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- Jacquelyn Weir
- Baker IDI, Heart and Diabetes Institute, Melbourne, VIC 3004, Australia
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- Youping Zhou
- Baker IDI, Heart and Diabetes Institute, Melbourne, VIC 3004, Australia
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- Malcolm McConville
- The Bio21 Institute of Molecular Science and Biotechnology, University of Melbourne, Melbourne, VIC 3010, Australia
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- Peter Meikle
- Baker IDI, Heart and Diabetes Institute, Melbourne, VIC 3004, Australia
説明
<jats:p>Lipidomic approaches are now widely used to investigate the relationship between lipid metabolism, health and disease. Large-scale lipidomics studies typically aim to quantify hundreds to thousands of lipid molecular species in a large number of samples. Consequently, high throughput methodology that can efficiently extract a wide range of lipids from biological samples is required. Current methods often rely on extraction in chloroform:methanol with or without two phase partitioning or other solvents, which are often incompatible with liquid chromatography electrospray ionization-tandem mass spectrometry (LC ESI-MS/MS). Here, we present a fast, simple extraction method that is suitable for high throughput LC ESI-MS/MS. Plasma (10 μL) was mixed with 100 μL 1-butanol:methanol (1:1 v/v) containing internal standards resulting in efficient extraction of all major lipid classes (including sterols, glycerolipids, glycerophospholipids and sphingolipids). Lipids were quantified using positive-ion mode LC ESI-MS/MS. The method showed high recovery (>90%) and reproducibility (%CV < 20%). It showed a strong correlation of all lipid measures with an established chloroform:methanol extraction method (R2 = 0.976). This method uses non-halogenated solvents, requires no drying or reconstitution steps and is suitable for large-scale LC ESI-MS/MS-based lipidomic analyses in research and clinical laboratories.</jats:p>
収録刊行物
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- Metabolites
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Metabolites 5 (2), 389-403, 2015-06-17
MDPI AG