Literature DB >> 31978300

High Resolution GC-Orbitrap-MS Metabolomics Using Both Electron Ionization and Chemical Ionization for Analysis of Human Plasma.

Biswapriya B Misra1, Michael Olivier1.   

Abstract

Gas chromatography-mass spectrometry (GC-MS) platforms are typically run in electron ionization (EI) mode for mass spectral matching and metabolite annotation. With the advent of high resolution mass spectrometry (HRMS), soft ionization techniques such as chemical ionization (CI) may provide additional coverage for compound identification. We evaluated NIST SRM 1950 pooled plasma reference sample using a HRGC-MS instrument [GC-Orbitrap-MS with electron ionization (EI), positive chemical ionization (PCI), and negative CI (NCI) capabilities] for metabolite annotation and quantification to assess the suitability of the platform for routine discovery metabolomics. Using both open source and vendor workflows, we validated the spectral matches with an in-house spectral library (Wake Forest CPM GC-MS spectral and retention time libraries) of EI-MS and CI-MS/MS spectra obtained from chemical standards. We confidently [metabolomics standards initiative (MSI) confidence level 2] identified 263, 93, and 65 metabolites using EI, PCI, and NCI modes, respectively, of which 270 metabolites (64%) were validated using our Wake Forest CPM GC-MS spectral libraries. When compared to published LC-MS-based efforts using the same NIST SRM 1950 plasma sample, there was only 17% overlap between the two platforms. In addition, the metabolomics analysis of community approved standard human plasma demonstrated the ability of EI- and CI-MS modes of analysis using a HRGC-MS platform to enable reproducible and interoperable spectral matching.

Entities:  

Keywords:  GC-MS; Orbitrap; chemical ionization; high resolution; metabolomics; plasma

Mesh:

Year:  2020        PMID: 31978300     DOI: 10.1021/acs.jproteome.9b00774

Source DB:  PubMed          Journal:  J Proteome Res        ISSN: 1535-3893            Impact factor:   4.466


  10 in total

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Authors:  Giovanni Berardi; Laura Frey-Law; Kathleen A Sluka; Emine O Bayman; Christopher S Coffey; Dixie Ecklund; Carol G T Vance; Dana L Dailey; John Burns; Asokumar Buvanendran; Robert J McCarthy; Joshua Jacobs; Xiaohong Joe Zhou; Richard Wixson; Tessa Balach; Chad M Brummett; Daniel Clauw; Douglas Colquhoun; Steven E Harte; Richard E Harris; David A Williams; Andrew C Chang; Jennifer Waljee; Kathleen M Fisch; Kristen Jepsen; Louise C Laurent; Michael Olivier; Carl D Langefeld; Timothy D Howard; Oliver Fiehn; Jon M Jacobs; Panshak Dakup; Wei-Jun Qian; Adam C Swensen; Anna Lokshin; Martin Lindquist; Brian S Caffo; Ciprian Crainiceanu; Scott Zeger; Ari Kahn; Tor Wager; Margaret Taub; James Ford; Stephani P Sutherland; Laura D Wandner
Journal:  Front Med (Lausanne)       Date:  2022-04-25

2.  Optimization of Imputation Strategies for High-Resolution Gas Chromatography-Mass Spectrometry (HR GC-MS) Metabolomics Data.

Authors:  Isaac Ampong; Kip D Zimmerman; Peter W Nathanielsz; Laura A Cox; Michael Olivier
Journal:  Metabolites       Date:  2022-05-11

Review 3.  Advances in Plant Metabolomics and Its Applications in Stress and Single-Cell Biology.

Authors:  Ramesh Katam; Chuwei Lin; Kirstie Grant; Chaquayla S Katam; Sixue Chen
Journal:  Int J Mol Sci       Date:  2022-06-23       Impact factor: 6.208

Review 4.  New software tools, databases, and resources in metabolomics: updates from 2020.

Authors:  Biswapriya B Misra
Journal:  Metabolomics       Date:  2021-05-11       Impact factor: 4.290

5.  Open, High-Resolution EI+ Spectral Library of Anthropogenic Compounds.

Authors:  Elliott J Price; Jirí Palát; Katerina Coufaliková; Petr Kukučka; Garry Codling; Chiara Maria Vitale; Štěpán Koudelka; Jana Klánová
Journal:  Front Public Health       Date:  2021-03-09

6.  Time-course analysis of Streptococcus sanguinis after manganese depletion reveals changes in glycolytic and nucleic acid metabolites.

Authors:  Tanya Puccio; Biswapriya B Misra; Todd Kitten
Journal:  Metabolomics       Date:  2021-04-23       Impact factor: 4.290

Review 7.  Defining the Scope of Exposome Studies and Research Needs from a Multidisciplinary Perspective.

Authors:  Pei Zhang; Christopher Carlsten; Romanas Chaleckis; Kati Hanhineva; Mengna Huang; Tomohiko Isobe; Ville M Koistinen; Isabel Meister; Stefano Papazian; Kalliroi Sdougkou; Hongyu Xie; Jonathan W Martin; Stephen M Rappaport; Hiroshi Tsugawa; Douglas I Walker; Tracey J Woodruff; Robert O Wright; Craig E Wheelock
Journal:  Environ Sci Technol Lett       Date:  2021-09-07

Review 8.  Reference materials for MS-based untargeted metabolomics and lipidomics: a review by the metabolomics quality assurance and quality control consortium (mQACC).

Authors:  Katrice A Lippa; Juan J Aristizabal-Henao; Richard D Beger; John A Bowden; Corey Broeckling; Chris Beecher; W Clay Davis; Warwick B Dunn; Roberto Flores; Royston Goodacre; Gonçalo J Gouveia; Amy C Harms; Thomas Hartung; Christina M Jones; Matthew R Lewis; Ioanna Ntai; Andrew J Percy; Dan Raftery; Tracey B Schock; Jinchun Sun; Georgios Theodoridis; Fariba Tayyari; Federico Torta; Candice Z Ulmer; Ian Wilson; Baljit K Ubhi
Journal:  Metabolomics       Date:  2022-04-09       Impact factor: 4.747

Review 9.  A Checklist for Reproducible Computational Analysis in Clinical Metabolomics Research.

Authors:  Xinsong Du; Juan J Aristizabal-Henao; Timothy J Garrett; Mathias Brochhausen; William R Hogan; Dominick J Lemas
Journal:  Metabolites       Date:  2022-01-17

Review 10.  Defining Blood Plasma and Serum Metabolome by GC-MS.

Authors:  Olga Kiseleva; Ilya Kurbatov; Ekaterina Ilgisonis; Ekaterina Poverennaya
Journal:  Metabolites       Date:  2021-12-24
  10 in total

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