Metabolite identification using an ion mobility enhanced data‐independent acquisition strategy and automated data processing
Rationale Liquid chromatography/mass spectrometry is an essential tool for efficient and reliable quantitative and qualitative analysis and underpins much of contemporary drug metabolism and pharmacokinetics. Data‐independent acquisition methods such as MSE have reduced the potential to miss metabol...
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creator | Radchenko, Tatiana Kochansky, Christopher J. Cancilla, Mark Wrona, Mark D. Mortishire‐Smith, Russell J. Kirk, Jayne Murray, Gordon Fontaine, Fabien Zamora, Ismael |
description | Rationale
Liquid chromatography/mass spectrometry is an essential tool for efficient and reliable quantitative and qualitative analysis and underpins much of contemporary drug metabolism and pharmacokinetics. Data‐independent acquisition methods such as MSE have reduced the potential to miss metabolites, but do not formally generate quadrupole‐resolved product ion spectra. The addition of ion mobility separation to these approaches, for example, in High‐Definition MSE (HDMSE) has the potential to reduce the time needed to set up an experiment and maximize the chance that all metabolites present can be resolved and characterized. We compared High‐Definition Data‐Dependent Acquisition (HD‐DDA), MSE and HDMSE approaches using automated software processing with Mass‐MetaSite and WebMetabase.
Methods
Metabolite identification was performed on incubations of glucagon‐like peptide‐1 (7‐37) (GLP‐1) and verapamil hydrochloride. The HD‐DDA, MSE and HDMSE experiments were conducted on a Waters ACQUITY UPLC I‐Class LC system with a VION IMS quadrupole time‐of‐flight (QTOF) mass spectrometer operating under UNIFI control. All acquired data were processed using MassMetaSite able to read data from UNIFI 1.9.4. WebMetabase was used to review the detected chromatographic peaks and the spectral data interpretations.
Results
A comparison of outcomes obtained for MSE and HDMSE data demonstrated that the same structures were proposed for metabolites of both verapamil and GLP‐1. The ratio of structurally matched to mismatched product ions found by MassMetaSite was slightly greater for HDMSE than for MSE, and HD‐DDA, thus improving confidence in the structures proposed through the addition of ion mobility based data acquisitions.
Conclusions
HDMSE data acquisition is an effective approach for the elucidation of metabolite structures for both small molecules and peptides, with excellent accuracy and quality, requiring minimal tailoring for the compound under investigation. |
doi_str_mv | 10.1002/rcm.8792 |
format | Article |
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Liquid chromatography/mass spectrometry is an essential tool for efficient and reliable quantitative and qualitative analysis and underpins much of contemporary drug metabolism and pharmacokinetics. Data‐independent acquisition methods such as MSE have reduced the potential to miss metabolites, but do not formally generate quadrupole‐resolved product ion spectra. The addition of ion mobility separation to these approaches, for example, in High‐Definition MSE (HDMSE) has the potential to reduce the time needed to set up an experiment and maximize the chance that all metabolites present can be resolved and characterized. We compared High‐Definition Data‐Dependent Acquisition (HD‐DDA), MSE and HDMSE approaches using automated software processing with Mass‐MetaSite and WebMetabase.
Methods
Metabolite identification was performed on incubations of glucagon‐like peptide‐1 (7‐37) (GLP‐1) and verapamil hydrochloride. The HD‐DDA, MSE and HDMSE experiments were conducted on a Waters ACQUITY UPLC I‐Class LC system with a VION IMS quadrupole time‐of‐flight (QTOF) mass spectrometer operating under UNIFI control. All acquired data were processed using MassMetaSite able to read data from UNIFI 1.9.4. WebMetabase was used to review the detected chromatographic peaks and the spectral data interpretations.
Results
A comparison of outcomes obtained for MSE and HDMSE data demonstrated that the same structures were proposed for metabolites of both verapamil and GLP‐1. The ratio of structurally matched to mismatched product ions found by MassMetaSite was slightly greater for HDMSE than for MSE, and HD‐DDA, thus improving confidence in the structures proposed through the addition of ion mobility based data acquisitions.
Conclusions
HDMSE data acquisition is an effective approach for the elucidation of metabolite structures for both small molecules and peptides, with excellent accuracy and quality, requiring minimal tailoring for the compound under investigation.</description><identifier>ISSN: 0951-4198</identifier><identifier>EISSN: 1097-0231</identifier><identifier>DOI: 10.1002/rcm.8792</identifier><identifier>PMID: 32208529</identifier><language>eng</language><publisher>England: Wiley Subscription Services, Inc</publisher><subject>Automation ; Chromatography, High Pressure Liquid - methods ; Data acquisition ; Data processing ; Identification methods ; Ionic mobility ; Ions ; Ions - analysis ; Ions - chemistry ; Liquid chromatography ; Mass spectrometry ; Mass Spectrometry - methods ; Metabolites ; Peptides ; Peptides - analysis ; Peptides - chemistry ; Quadrupoles ; Qualitative analysis ; Software</subject><ispartof>Rapid communications in mass spectrometry, 2020-06, Vol.34 (12), p.e8792-n/a</ispartof><rights>2020 John Wiley & Sons, Ltd.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3492-9ca03356a766640fe470994c30fb397fe7c61faedd0f3d1fcc09c8b222684cad3</citedby><cites>FETCH-LOGICAL-c3492-9ca03356a766640fe470994c30fb397fe7c61faedd0f3d1fcc09c8b222684cad3</cites><orcidid>0000-0003-4962-7229</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2Frcm.8792$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Frcm.8792$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,780,784,1417,27924,27925,45574,45575</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32208529$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Radchenko, Tatiana</creatorcontrib><creatorcontrib>Kochansky, Christopher J.</creatorcontrib><creatorcontrib>Cancilla, Mark</creatorcontrib><creatorcontrib>Wrona, Mark D.</creatorcontrib><creatorcontrib>Mortishire‐Smith, Russell J.</creatorcontrib><creatorcontrib>Kirk, Jayne</creatorcontrib><creatorcontrib>Murray, Gordon</creatorcontrib><creatorcontrib>Fontaine, Fabien</creatorcontrib><creatorcontrib>Zamora, Ismael</creatorcontrib><title>Metabolite identification using an ion mobility enhanced data‐independent acquisition strategy and automated data processing</title><title>Rapid communications in mass spectrometry</title><addtitle>Rapid Commun Mass Spectrom</addtitle><description>Rationale
Liquid chromatography/mass spectrometry is an essential tool for efficient and reliable quantitative and qualitative analysis and underpins much of contemporary drug metabolism and pharmacokinetics. Data‐independent acquisition methods such as MSE have reduced the potential to miss metabolites, but do not formally generate quadrupole‐resolved product ion spectra. The addition of ion mobility separation to these approaches, for example, in High‐Definition MSE (HDMSE) has the potential to reduce the time needed to set up an experiment and maximize the chance that all metabolites present can be resolved and characterized. We compared High‐Definition Data‐Dependent Acquisition (HD‐DDA), MSE and HDMSE approaches using automated software processing with Mass‐MetaSite and WebMetabase.
Methods
Metabolite identification was performed on incubations of glucagon‐like peptide‐1 (7‐37) (GLP‐1) and verapamil hydrochloride. The HD‐DDA, MSE and HDMSE experiments were conducted on a Waters ACQUITY UPLC I‐Class LC system with a VION IMS quadrupole time‐of‐flight (QTOF) mass spectrometer operating under UNIFI control. All acquired data were processed using MassMetaSite able to read data from UNIFI 1.9.4. WebMetabase was used to review the detected chromatographic peaks and the spectral data interpretations.
Results
A comparison of outcomes obtained for MSE and HDMSE data demonstrated that the same structures were proposed for metabolites of both verapamil and GLP‐1. The ratio of structurally matched to mismatched product ions found by MassMetaSite was slightly greater for HDMSE than for MSE, and HD‐DDA, thus improving confidence in the structures proposed through the addition of ion mobility based data acquisitions.
Conclusions
HDMSE data acquisition is an effective approach for the elucidation of metabolite structures for both small molecules and peptides, with excellent accuracy and quality, requiring minimal tailoring for the compound under investigation.</description><subject>Automation</subject><subject>Chromatography, High Pressure Liquid - methods</subject><subject>Data acquisition</subject><subject>Data processing</subject><subject>Identification methods</subject><subject>Ionic mobility</subject><subject>Ions</subject><subject>Ions - analysis</subject><subject>Ions - chemistry</subject><subject>Liquid chromatography</subject><subject>Mass spectrometry</subject><subject>Mass Spectrometry - methods</subject><subject>Metabolites</subject><subject>Peptides</subject><subject>Peptides - analysis</subject><subject>Peptides - chemistry</subject><subject>Quadrupoles</subject><subject>Qualitative analysis</subject><subject>Software</subject><issn>0951-4198</issn><issn>1097-0231</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp1kM1qGzEUhUVJaFy3kCcIgmy6meRKmj8tg8lPIaZQ2vWgka5cBY_GHmkI3oQ8Qp-xTxKN7XTX1eXAd74Lh5BzBlcMgF8PuruqK8k_kBkDWWXABTshM5AFy3Im6zPyKYQnAMYKDh_JmeAc6oLLGXlZYlRtv3YRqTPoo7NOq-h6T8fg_IoqT6fQ9a1L0I6i_628RkONiurv6x_nDW7QT1Wq9HZ0we3bIQ4q4mqXBIaqMfZdiocW3Qy9xjDpP5NTq9YBvxzvnPy6u_25eMgev99_W9w8ZlrkkmdSKxCiKFVVlmUOFvMKpMy1ANsKWVmsdMmsQmPACsOs1iB13XLOyzrXyog5uTx40-vtiCE2T_04-PSy4TkUuZRJn6ivB0oPfQgD2mYzuE4Nu4ZBMw3dpKGbaeiEXhyFY9uh-Qe-L5uA7AA8uzXu_itqfiyWe-EbPiaLCw</recordid><startdate>20200630</startdate><enddate>20200630</enddate><creator>Radchenko, Tatiana</creator><creator>Kochansky, Christopher J.</creator><creator>Cancilla, Mark</creator><creator>Wrona, Mark D.</creator><creator>Mortishire‐Smith, Russell J.</creator><creator>Kirk, Jayne</creator><creator>Murray, Gordon</creator><creator>Fontaine, Fabien</creator><creator>Zamora, Ismael</creator><general>Wiley Subscription Services, Inc</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SR</scope><scope>7U5</scope><scope>8BQ</scope><scope>8FD</scope><scope>JG9</scope><scope>JQ2</scope><scope>L7M</scope><orcidid>https://orcid.org/0000-0003-4962-7229</orcidid></search><sort><creationdate>20200630</creationdate><title>Metabolite identification using an ion mobility enhanced data‐independent acquisition strategy and automated data processing</title><author>Radchenko, Tatiana ; Kochansky, Christopher J. ; Cancilla, Mark ; Wrona, Mark D. ; Mortishire‐Smith, Russell J. ; Kirk, Jayne ; Murray, Gordon ; Fontaine, Fabien ; Zamora, Ismael</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3492-9ca03356a766640fe470994c30fb397fe7c61faedd0f3d1fcc09c8b222684cad3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Automation</topic><topic>Chromatography, High Pressure Liquid - methods</topic><topic>Data acquisition</topic><topic>Data processing</topic><topic>Identification methods</topic><topic>Ionic mobility</topic><topic>Ions</topic><topic>Ions - analysis</topic><topic>Ions - chemistry</topic><topic>Liquid chromatography</topic><topic>Mass spectrometry</topic><topic>Mass Spectrometry - methods</topic><topic>Metabolites</topic><topic>Peptides</topic><topic>Peptides - analysis</topic><topic>Peptides - chemistry</topic><topic>Quadrupoles</topic><topic>Qualitative analysis</topic><topic>Software</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Radchenko, Tatiana</creatorcontrib><creatorcontrib>Kochansky, Christopher J.</creatorcontrib><creatorcontrib>Cancilla, Mark</creatorcontrib><creatorcontrib>Wrona, Mark D.</creatorcontrib><creatorcontrib>Mortishire‐Smith, Russell J.</creatorcontrib><creatorcontrib>Kirk, Jayne</creatorcontrib><creatorcontrib>Murray, Gordon</creatorcontrib><creatorcontrib>Fontaine, Fabien</creatorcontrib><creatorcontrib>Zamora, Ismael</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Engineered Materials Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>Materials Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>Rapid communications in mass spectrometry</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Radchenko, Tatiana</au><au>Kochansky, Christopher J.</au><au>Cancilla, Mark</au><au>Wrona, Mark D.</au><au>Mortishire‐Smith, Russell J.</au><au>Kirk, Jayne</au><au>Murray, Gordon</au><au>Fontaine, Fabien</au><au>Zamora, Ismael</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Metabolite identification using an ion mobility enhanced data‐independent acquisition strategy and automated data processing</atitle><jtitle>Rapid communications in mass spectrometry</jtitle><addtitle>Rapid Commun Mass Spectrom</addtitle><date>2020-06-30</date><risdate>2020</risdate><volume>34</volume><issue>12</issue><spage>e8792</spage><epage>n/a</epage><pages>e8792-n/a</pages><issn>0951-4198</issn><eissn>1097-0231</eissn><abstract>Rationale
Liquid chromatography/mass spectrometry is an essential tool for efficient and reliable quantitative and qualitative analysis and underpins much of contemporary drug metabolism and pharmacokinetics. Data‐independent acquisition methods such as MSE have reduced the potential to miss metabolites, but do not formally generate quadrupole‐resolved product ion spectra. The addition of ion mobility separation to these approaches, for example, in High‐Definition MSE (HDMSE) has the potential to reduce the time needed to set up an experiment and maximize the chance that all metabolites present can be resolved and characterized. We compared High‐Definition Data‐Dependent Acquisition (HD‐DDA), MSE and HDMSE approaches using automated software processing with Mass‐MetaSite and WebMetabase.
Methods
Metabolite identification was performed on incubations of glucagon‐like peptide‐1 (7‐37) (GLP‐1) and verapamil hydrochloride. The HD‐DDA, MSE and HDMSE experiments were conducted on a Waters ACQUITY UPLC I‐Class LC system with a VION IMS quadrupole time‐of‐flight (QTOF) mass spectrometer operating under UNIFI control. All acquired data were processed using MassMetaSite able to read data from UNIFI 1.9.4. WebMetabase was used to review the detected chromatographic peaks and the spectral data interpretations.
Results
A comparison of outcomes obtained for MSE and HDMSE data demonstrated that the same structures were proposed for metabolites of both verapamil and GLP‐1. The ratio of structurally matched to mismatched product ions found by MassMetaSite was slightly greater for HDMSE than for MSE, and HD‐DDA, thus improving confidence in the structures proposed through the addition of ion mobility based data acquisitions.
Conclusions
HDMSE data acquisition is an effective approach for the elucidation of metabolite structures for both small molecules and peptides, with excellent accuracy and quality, requiring minimal tailoring for the compound under investigation.</abstract><cop>England</cop><pub>Wiley Subscription Services, Inc</pub><pmid>32208529</pmid><doi>10.1002/rcm.8792</doi><tpages>14</tpages><orcidid>https://orcid.org/0000-0003-4962-7229</orcidid></addata></record> |
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subjects | Automation Chromatography, High Pressure Liquid - methods Data acquisition Data processing Identification methods Ionic mobility Ions Ions - analysis Ions - chemistry Liquid chromatography Mass spectrometry Mass Spectrometry - methods Metabolites Peptides Peptides - analysis Peptides - chemistry Quadrupoles Qualitative analysis Software |
title | Metabolite identification using an ion mobility enhanced data‐independent acquisition strategy and automated data processing |
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