Optimization and evaluation of metabolite extraction protocols for untargeted metabolic profiling of liver samples by UPLC-MS
Optimization and evaluation of metabolite extraction protocols for untargeted metabolic profiling of liver samples by UPLC-MS
A series of six protocols were evaluated for UPLC-MS based untargeted metabolic profiling of liver extracts in terms of reproducibility and number of metabolite features obtained. These protocols, designed to extract both polar and nonpolar metabolites, were based on (i) a two stage extraction approach or (ii) a simultaneous extraction in a biphasic mixture, employing different volumes and combinations of extraction and resuspension solvents. A multivariate statistical strategy was developed to allow comparison of the multidimensional variation between the methods. The optimal protocol for profiling both polar and nonpolar metabolites was found to be an aqueous extraction with methanol/water followed by an organic extraction with dichloromethane/methanol, with resuspension of the dried extracts in methanol/water before UPLC-MS analysis. This protocol resulted in a median CV of feature intensities among experimental replicates of <20% for aqueous extracts and <30% for organic extracts. These data demonstrate the robustness of the proposed protocol for extracting metabolites from liver samples and make it well suited for untargeted liver profiling in studies exploring xenobiotic hepatotoxicity and clinical investigations of liver disease. The generic nature of this protocol facilitates its application to other tissues, for example, brain or lung, enhancing its utility in clinical and toxicological studies.
Masson, Perrine
3aef0ec3-5504-4d14-aa69-0713fd76a505
Couto Alves, Alexessander
87b9179e-abde-4ca5-abfc-4b7c5ac8b03b
Ebbels, Timothy M.D.
574ad33a-6b11-45fa-9858-7af2a8b36e28
Nicholson, Jeremy K.
e298385f-661a-4fb2-823f-c371ba8fb993
Want, Elizabeth
fb3a96b7-8a87-4929-a115-cf1b803d4af8
17 August 2010
Masson, Perrine
3aef0ec3-5504-4d14-aa69-0713fd76a505
Couto Alves, Alexessander
87b9179e-abde-4ca5-abfc-4b7c5ac8b03b
Ebbels, Timothy M.D.
574ad33a-6b11-45fa-9858-7af2a8b36e28
Nicholson, Jeremy K.
e298385f-661a-4fb2-823f-c371ba8fb993
Want, Elizabeth
fb3a96b7-8a87-4929-a115-cf1b803d4af8
Masson, Perrine, Couto Alves, Alexessander, Ebbels, Timothy M.D., Nicholson, Jeremy K. and Want, Elizabeth
(2010)
Optimization and evaluation of metabolite extraction protocols for untargeted metabolic profiling of liver samples by UPLC-MS.
Analytical Chemistry, 82 (18).
(doi:10.1021/ac101722e).
Abstract
A series of six protocols were evaluated for UPLC-MS based untargeted metabolic profiling of liver extracts in terms of reproducibility and number of metabolite features obtained. These protocols, designed to extract both polar and nonpolar metabolites, were based on (i) a two stage extraction approach or (ii) a simultaneous extraction in a biphasic mixture, employing different volumes and combinations of extraction and resuspension solvents. A multivariate statistical strategy was developed to allow comparison of the multidimensional variation between the methods. The optimal protocol for profiling both polar and nonpolar metabolites was found to be an aqueous extraction with methanol/water followed by an organic extraction with dichloromethane/methanol, with resuspension of the dried extracts in methanol/water before UPLC-MS analysis. This protocol resulted in a median CV of feature intensities among experimental replicates of <20% for aqueous extracts and <30% for organic extracts. These data demonstrate the robustness of the proposed protocol for extracting metabolites from liver samples and make it well suited for untargeted liver profiling in studies exploring xenobiotic hepatotoxicity and clinical investigations of liver disease. The generic nature of this protocol facilitates its application to other tissues, for example, brain or lung, enhancing its utility in clinical and toxicological studies.
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Published date: 17 August 2010
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Local EPrints ID: 494820
URI: http://eprints.soton.ac.uk/id/eprint/494820
ISSN: 0003-2700
PURE UUID: 192f4cde-92a3-41b9-a064-00aee546c8fe
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Date deposited: 16 Oct 2024 16:38
Last modified: 17 Oct 2024 02:08
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Author:
Perrine Masson
Author:
Alexessander Couto Alves
Author:
Timothy M.D. Ebbels
Author:
Jeremy K. Nicholson
Author:
Elizabeth Want
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