Pseudotargeted Method Based on Parallel Column Two-Dimensional Liquid Chromatography-Mass Spectrometry for Broad Coverage of Metabolome and Lipidome
Metabolite and lipid profilings usually need two liquid chromatography-mass spectrometry (LC-MS) methods because of a great polarity difference. A pseudotargeted metabolomics method as a novel emerging approach can integrate the advantages of nontargeted and targeted methods. Here, we aim to establi...
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creator | Lv, Wangjie Wang, Lichao Xuan, Qiuhui Zhao, Xinjie Liu, Xinyu Shi, Xianzhe Xu, Guowang |
description | Metabolite and lipid profilings usually need two liquid chromatography-mass spectrometry (LC-MS) methods because of a great polarity difference. A pseudotargeted metabolomics method as a novel emerging approach can integrate the advantages of nontargeted and targeted methods. Here, we aim to establish a comprehensive method for metabolome and lipidome by using a parallel column-based two-dimensional LC (PC-2DLC)-MS and pseudotargeted approach. To simultaneously extract as many polar metabolites and nonpolar lipids as possible, we systematically optimized the sample pretreatment process, and isopropanol/methanol (3:1, v/v) and isopropanol/water (7:3, v/v) were selected as the extraction and reconstitution solvents, respectively. The detected triglycerides significantly increased after the sample pretreatment optimization. Then PC-2DLC coupled with Triple TOF MS was applied to analyze a mixed sample from serum, urine, and liver tissue matrixes. The multiple reaction monitoring (MRM) transitions of the metabolome and lipidome were defined according to the “MRM-Ion Pair Finder” software and lipidomics MRM-transition database, respectively. After verification by QTRAP MS in the scheduled MRM mode, 1609 potential metabolites and lipids corresponding to 1294 MRM transitions, and 847 potential metabolites and lipids corresponding to 687 MRM transitions were detected in positive and negative ion modes, respectively. They range at about 30 orders of magnitude in octanol/water partition coefficient. The pseudotargeted 2DLC-MS method was validated to have good analytical characteristics. As a proof of applicability, sera from type 2 diabetic patients were investigated by the established method. The results indicated that the pseudotargeted 2DLC-MS method is reliable and repeatable and can be used in a metabolomics study. |
doi_str_mv | 10.1021/acs.analchem.0c00372 |
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A pseudotargeted metabolomics method as a novel emerging approach can integrate the advantages of nontargeted and targeted methods. Here, we aim to establish a comprehensive method for metabolome and lipidome by using a parallel column-based two-dimensional LC (PC-2DLC)-MS and pseudotargeted approach. To simultaneously extract as many polar metabolites and nonpolar lipids as possible, we systematically optimized the sample pretreatment process, and isopropanol/methanol (3:1, v/v) and isopropanol/water (7:3, v/v) were selected as the extraction and reconstitution solvents, respectively. The detected triglycerides significantly increased after the sample pretreatment optimization. Then PC-2DLC coupled with Triple TOF MS was applied to analyze a mixed sample from serum, urine, and liver tissue matrixes. The multiple reaction monitoring (MRM) transitions of the metabolome and lipidome were defined according to the “MRM-Ion Pair Finder” software and lipidomics MRM-transition database, respectively. After verification by QTRAP MS in the scheduled MRM mode, 1609 potential metabolites and lipids corresponding to 1294 MRM transitions, and 847 potential metabolites and lipids corresponding to 687 MRM transitions were detected in positive and negative ion modes, respectively. They range at about 30 orders of magnitude in octanol/water partition coefficient. The pseudotargeted 2DLC-MS method was validated to have good analytical characteristics. As a proof of applicability, sera from type 2 diabetic patients were investigated by the established method. The results indicated that the pseudotargeted 2DLC-MS method is reliable and repeatable and can be used in a metabolomics study.</description><identifier>ISSN: 0003-2700</identifier><identifier>EISSN: 1520-6882</identifier><identifier>DOI: 10.1021/acs.analchem.0c00372</identifier><identifier>PMID: 32223126</identifier><language>eng</language><publisher>United States: American Chemical Society</publisher><subject>Analytical chemistry ; Animals ; Chemistry ; Chromatography ; Chromatography, Liquid ; Column chromatography ; Diabetes mellitus ; Diabetes Mellitus, Type 2 - blood ; Diabetes Mellitus, Type 2 - diagnosis ; Diabetes Mellitus, Type 2 - metabolism ; Humans ; Ions ; Isopropanol ; Lipid metabolism ; Lipids ; Lipids - analysis ; Liquid chromatography ; Mass Spectrometry ; Mass spectroscopy ; Metabolites ; Metabolomics ; Mice ; Negative ions ; Octanol-water partition coefficients ; Optimization ; Polarity ; Pretreatment ; Pretreatment of water ; Scientific imaging ; Software ; Spectroscopy ; Triglycerides</subject><ispartof>Analytical chemistry (Washington), 2020-04, Vol.92 (8), p.6043-6050</ispartof><rights>Copyright American Chemical Society Apr 21, 2020</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a442t-93f7f329a5da1b10b2a7c632b85f1b53b7882250bf49bb71e5010e53779280b33</citedby><cites>FETCH-LOGICAL-a442t-93f7f329a5da1b10b2a7c632b85f1b53b7882250bf49bb71e5010e53779280b33</cites><orcidid>0000-0001-9306-0130 ; 0000-0003-4298-3554</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://pubs.acs.org/doi/pdf/10.1021/acs.analchem.0c00372$$EPDF$$P50$$Gacs$$H</linktopdf><linktohtml>$$Uhttps://pubs.acs.org/doi/10.1021/acs.analchem.0c00372$$EHTML$$P50$$Gacs$$H</linktohtml><link.rule.ids>314,778,782,2754,27059,27907,27908,56721,56771</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32223126$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Lv, Wangjie</creatorcontrib><creatorcontrib>Wang, Lichao</creatorcontrib><creatorcontrib>Xuan, Qiuhui</creatorcontrib><creatorcontrib>Zhao, Xinjie</creatorcontrib><creatorcontrib>Liu, Xinyu</creatorcontrib><creatorcontrib>Shi, Xianzhe</creatorcontrib><creatorcontrib>Xu, Guowang</creatorcontrib><title>Pseudotargeted Method Based on Parallel Column Two-Dimensional Liquid Chromatography-Mass Spectrometry for Broad Coverage of Metabolome and Lipidome</title><title>Analytical chemistry (Washington)</title><addtitle>Anal. Chem</addtitle><description>Metabolite and lipid profilings usually need two liquid chromatography-mass spectrometry (LC-MS) methods because of a great polarity difference. A pseudotargeted metabolomics method as a novel emerging approach can integrate the advantages of nontargeted and targeted methods. Here, we aim to establish a comprehensive method for metabolome and lipidome by using a parallel column-based two-dimensional LC (PC-2DLC)-MS and pseudotargeted approach. To simultaneously extract as many polar metabolites and nonpolar lipids as possible, we systematically optimized the sample pretreatment process, and isopropanol/methanol (3:1, v/v) and isopropanol/water (7:3, v/v) were selected as the extraction and reconstitution solvents, respectively. The detected triglycerides significantly increased after the sample pretreatment optimization. Then PC-2DLC coupled with Triple TOF MS was applied to analyze a mixed sample from serum, urine, and liver tissue matrixes. The multiple reaction monitoring (MRM) transitions of the metabolome and lipidome were defined according to the “MRM-Ion Pair Finder” software and lipidomics MRM-transition database, respectively. After verification by QTRAP MS in the scheduled MRM mode, 1609 potential metabolites and lipids corresponding to 1294 MRM transitions, and 847 potential metabolites and lipids corresponding to 687 MRM transitions were detected in positive and negative ion modes, respectively. They range at about 30 orders of magnitude in octanol/water partition coefficient. The pseudotargeted 2DLC-MS method was validated to have good analytical characteristics. As a proof of applicability, sera from type 2 diabetic patients were investigated by the established method. The results indicated that the pseudotargeted 2DLC-MS method is reliable and repeatable and can be used in a metabolomics study.</description><subject>Analytical chemistry</subject><subject>Animals</subject><subject>Chemistry</subject><subject>Chromatography</subject><subject>Chromatography, Liquid</subject><subject>Column chromatography</subject><subject>Diabetes mellitus</subject><subject>Diabetes Mellitus, Type 2 - blood</subject><subject>Diabetes Mellitus, Type 2 - diagnosis</subject><subject>Diabetes Mellitus, Type 2 - metabolism</subject><subject>Humans</subject><subject>Ions</subject><subject>Isopropanol</subject><subject>Lipid metabolism</subject><subject>Lipids</subject><subject>Lipids - analysis</subject><subject>Liquid chromatography</subject><subject>Mass Spectrometry</subject><subject>Mass spectroscopy</subject><subject>Metabolites</subject><subject>Metabolomics</subject><subject>Mice</subject><subject>Negative ions</subject><subject>Octanol-water partition coefficients</subject><subject>Optimization</subject><subject>Polarity</subject><subject>Pretreatment</subject><subject>Pretreatment of water</subject><subject>Scientific imaging</subject><subject>Software</subject><subject>Spectroscopy</subject><subject>Triglycerides</subject><issn>0003-2700</issn><issn>1520-6882</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kc1u1EAQhEcIRJbAGyA0EhcuXnpm_Hsky6-0EZEIZ6vHbu86GrudGRu078EDM6vd5MCBU6tbX1VJXUK8VrBWoNV7bMIaR3TNnoY1NACm0E_ESmUakrws9VOxgnhMdAFwIV6EcAegFKj8ubgwWmujdL4Sf24CLS3P6Hc0Uyuvad5zK68wxIVHeYMenSMnN-yWYZS3vzn52A80hp5juNz290vfys3e84Az7zxO-0NyjSHIHxM1czzT7A-yYy-vPGNE-Rd53JHk7piGll1kJI5tNJv6Ni4vxbMOXaBX53kpfn7-dLv5mmy_f_m2-bBNME31nFSmKzqjK8xaVFaB1Vg0udG2zDplM2OL-Aadge3SytpCUQYKKDNFUekSrDGX4t3Jd_J8v1CY66EPDTmHI_ESam3KtFRVlEX07T_oHS8-fuBIVanOI5VHKj1RjecQPHX15PsB_aFWUB9bq2Nr9UNr9bm1KHtzNl_sQO2j6KGmCMAJOMofg__r-ReLaqdy</recordid><startdate>20200421</startdate><enddate>20200421</enddate><creator>Lv, Wangjie</creator><creator>Wang, Lichao</creator><creator>Xuan, Qiuhui</creator><creator>Zhao, Xinjie</creator><creator>Liu, Xinyu</creator><creator>Shi, Xianzhe</creator><creator>Xu, Guowang</creator><general>American Chemical Society</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>7QF</scope><scope>7QO</scope><scope>7QQ</scope><scope>7SC</scope><scope>7SE</scope><scope>7SP</scope><scope>7SR</scope><scope>7TA</scope><scope>7TB</scope><scope>7TM</scope><scope>7U5</scope><scope>7U7</scope><scope>7U9</scope><scope>8BQ</scope><scope>8FD</scope><scope>C1K</scope><scope>F28</scope><scope>FR3</scope><scope>H8D</scope><scope>H8G</scope><scope>H94</scope><scope>JG9</scope><scope>JQ2</scope><scope>KR7</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>P64</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0001-9306-0130</orcidid><orcidid>https://orcid.org/0000-0003-4298-3554</orcidid></search><sort><creationdate>20200421</creationdate><title>Pseudotargeted Method Based on Parallel Column Two-Dimensional Liquid Chromatography-Mass Spectrometry for Broad Coverage of Metabolome and Lipidome</title><author>Lv, Wangjie ; 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Chem</addtitle><date>2020-04-21</date><risdate>2020</risdate><volume>92</volume><issue>8</issue><spage>6043</spage><epage>6050</epage><pages>6043-6050</pages><issn>0003-2700</issn><eissn>1520-6882</eissn><abstract>Metabolite and lipid profilings usually need two liquid chromatography-mass spectrometry (LC-MS) methods because of a great polarity difference. A pseudotargeted metabolomics method as a novel emerging approach can integrate the advantages of nontargeted and targeted methods. Here, we aim to establish a comprehensive method for metabolome and lipidome by using a parallel column-based two-dimensional LC (PC-2DLC)-MS and pseudotargeted approach. To simultaneously extract as many polar metabolites and nonpolar lipids as possible, we systematically optimized the sample pretreatment process, and isopropanol/methanol (3:1, v/v) and isopropanol/water (7:3, v/v) were selected as the extraction and reconstitution solvents, respectively. The detected triglycerides significantly increased after the sample pretreatment optimization. Then PC-2DLC coupled with Triple TOF MS was applied to analyze a mixed sample from serum, urine, and liver tissue matrixes. The multiple reaction monitoring (MRM) transitions of the metabolome and lipidome were defined according to the “MRM-Ion Pair Finder” software and lipidomics MRM-transition database, respectively. After verification by QTRAP MS in the scheduled MRM mode, 1609 potential metabolites and lipids corresponding to 1294 MRM transitions, and 847 potential metabolites and lipids corresponding to 687 MRM transitions were detected in positive and negative ion modes, respectively. They range at about 30 orders of magnitude in octanol/water partition coefficient. The pseudotargeted 2DLC-MS method was validated to have good analytical characteristics. As a proof of applicability, sera from type 2 diabetic patients were investigated by the established method. The results indicated that the pseudotargeted 2DLC-MS method is reliable and repeatable and can be used in a metabolomics study.</abstract><cop>United States</cop><pub>American Chemical Society</pub><pmid>32223126</pmid><doi>10.1021/acs.analchem.0c00372</doi><tpages>8</tpages><orcidid>https://orcid.org/0000-0001-9306-0130</orcidid><orcidid>https://orcid.org/0000-0003-4298-3554</orcidid></addata></record> |
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subjects | Analytical chemistry Animals Chemistry Chromatography Chromatography, Liquid Column chromatography Diabetes mellitus Diabetes Mellitus, Type 2 - blood Diabetes Mellitus, Type 2 - diagnosis Diabetes Mellitus, Type 2 - metabolism Humans Ions Isopropanol Lipid metabolism Lipids Lipids - analysis Liquid chromatography Mass Spectrometry Mass spectroscopy Metabolites Metabolomics Mice Negative ions Octanol-water partition coefficients Optimization Polarity Pretreatment Pretreatment of water Scientific imaging Software Spectroscopy Triglycerides |
title | Pseudotargeted Method Based on Parallel Column Two-Dimensional Liquid Chromatography-Mass Spectrometry for Broad Coverage of Metabolome and Lipidome |
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