Data-Independent Acquisition for the Quantification and Identification of Metabolites in Plasma

A popular fragmentation technique for non-targeted analysis is called data-independent acquisition (DIA), because it provides fragmentation data for all analytes in a specific mass range. In this work, we demonstrated the strengths and weaknesses of DIA. Two types of chromatography (fractionation/3...

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Main Authors: Tom van der Laan, Isabelle Boom, Joshua Maliepaard, Anne-Charlotte Dubbelman, Amy C. Harms, Thomas Hankemeier
Format: Article
Language:English
Published: MDPI AG 2020-12-01
Series:Metabolites
Subjects:
Online Access:https://www.mdpi.com/2218-1989/10/12/514
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spelling doaj-7a8c4f2ceb3341d3840d900a646595322020-12-19T00:07:16ZengMDPI AGMetabolites2218-19892020-12-011051451410.3390/metabo10120514Data-Independent Acquisition for the Quantification and Identification of Metabolites in PlasmaTom van der Laan0Isabelle Boom1Joshua Maliepaard2Anne-Charlotte Dubbelman3Amy C. Harms4Thomas Hankemeier5Analytical Biosciences and Metabolomics, Division of Systems Biomedicine and Pharmacology, Leiden Academic Center for Drug Research, Leiden University, 2333 CC Leiden, The NetherlandsAnalytical Biosciences and Metabolomics, Division of Systems Biomedicine and Pharmacology, Leiden Academic Center for Drug Research, Leiden University, 2333 CC Leiden, The NetherlandsAnalytical Biosciences and Metabolomics, Division of Systems Biomedicine and Pharmacology, Leiden Academic Center for Drug Research, Leiden University, 2333 CC Leiden, The NetherlandsAnalytical Biosciences and Metabolomics, Division of Systems Biomedicine and Pharmacology, Leiden Academic Center for Drug Research, Leiden University, 2333 CC Leiden, The NetherlandsAnalytical Biosciences and Metabolomics, Division of Systems Biomedicine and Pharmacology, Leiden Academic Center for Drug Research, Leiden University, 2333 CC Leiden, The NetherlandsAnalytical Biosciences and Metabolomics, Division of Systems Biomedicine and Pharmacology, Leiden Academic Center for Drug Research, Leiden University, 2333 CC Leiden, The NetherlandsA popular fragmentation technique for non-targeted analysis is called data-independent acquisition (DIA), because it provides fragmentation data for all analytes in a specific mass range. In this work, we demonstrated the strengths and weaknesses of DIA. Two types of chromatography (fractionation/3 min and hydrophilic interaction liquid chromatography (HILIC)/18 min) and three DIA protocols (variable sequential window acquisition of all theoretical mass spectra (SWATH), fixed SWATH and MS<sup>ALL</sup>) were used to evaluate the performance of DIA. Our results show that fast chromatography and MS<sup>ALL</sup> often results in product ion overlap and complex MS/MS spectra, which reduces the quantitative and qualitative power of these DIA protocols. The combination of SWATH and HILIC allowed for the correct identification of 20 metabolites using the NIST library. After SWATH window customization (i.e., variable SWATH), we were able to quantify ten structural isomers with a mean accuracy of 103% (91–113%). The robustness of the variable SWATH and HILIC method was demonstrated by the accurate quantification of these structural isomers in 10 highly diverse blood samples. Since the combination of variable SWATH and HILIC results in good quantitative and qualitative fragmentation data, it is promising for both targeted and untargeted platforms. This should decrease the number of platforms needed in metabolomics and increase the value of a single analysis.https://www.mdpi.com/2218-1989/10/12/514data-independent acquisitionSWATHMS<sup>ALL</sup>mass spectrometrymetabolomicschromatography
collection DOAJ
language English
format Article
sources DOAJ
author Tom van der Laan
Isabelle Boom
Joshua Maliepaard
Anne-Charlotte Dubbelman
Amy C. Harms
Thomas Hankemeier
spellingShingle Tom van der Laan
Isabelle Boom
Joshua Maliepaard
Anne-Charlotte Dubbelman
Amy C. Harms
Thomas Hankemeier
Data-Independent Acquisition for the Quantification and Identification of Metabolites in Plasma
Metabolites
data-independent acquisition
SWATH
MS<sup>ALL</sup>
mass spectrometry
metabolomics
chromatography
author_facet Tom van der Laan
Isabelle Boom
Joshua Maliepaard
Anne-Charlotte Dubbelman
Amy C. Harms
Thomas Hankemeier
author_sort Tom van der Laan
title Data-Independent Acquisition for the Quantification and Identification of Metabolites in Plasma
title_short Data-Independent Acquisition for the Quantification and Identification of Metabolites in Plasma
title_full Data-Independent Acquisition for the Quantification and Identification of Metabolites in Plasma
title_fullStr Data-Independent Acquisition for the Quantification and Identification of Metabolites in Plasma
title_full_unstemmed Data-Independent Acquisition for the Quantification and Identification of Metabolites in Plasma
title_sort data-independent acquisition for the quantification and identification of metabolites in plasma
publisher MDPI AG
series Metabolites
issn 2218-1989
publishDate 2020-12-01
description A popular fragmentation technique for non-targeted analysis is called data-independent acquisition (DIA), because it provides fragmentation data for all analytes in a specific mass range. In this work, we demonstrated the strengths and weaknesses of DIA. Two types of chromatography (fractionation/3 min and hydrophilic interaction liquid chromatography (HILIC)/18 min) and three DIA protocols (variable sequential window acquisition of all theoretical mass spectra (SWATH), fixed SWATH and MS<sup>ALL</sup>) were used to evaluate the performance of DIA. Our results show that fast chromatography and MS<sup>ALL</sup> often results in product ion overlap and complex MS/MS spectra, which reduces the quantitative and qualitative power of these DIA protocols. The combination of SWATH and HILIC allowed for the correct identification of 20 metabolites using the NIST library. After SWATH window customization (i.e., variable SWATH), we were able to quantify ten structural isomers with a mean accuracy of 103% (91–113%). The robustness of the variable SWATH and HILIC method was demonstrated by the accurate quantification of these structural isomers in 10 highly diverse blood samples. Since the combination of variable SWATH and HILIC results in good quantitative and qualitative fragmentation data, it is promising for both targeted and untargeted platforms. This should decrease the number of platforms needed in metabolomics and increase the value of a single analysis.
topic data-independent acquisition
SWATH
MS<sup>ALL</sup>
mass spectrometry
metabolomics
chromatography
url https://www.mdpi.com/2218-1989/10/12/514
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