Literature DB >> 27370688

Evaluation of coverage, retention patterns, and selectivity of seven liquid chromatographic methods for metabolomics.

Stefanie Wernisch1, Subramaniam Pennathur2.   

Abstract

Liquid chromatography-mass spectrometry-based metabolomics studies require highly selective and efficient chromatographic techniques. Typically employed reversed-phase (RP) methods fail to target polar metabolites, but the introduction of hydrophilic interaction liquid chromatography (HILIC) is slow due to perceived issues of reproducibility and ruggedness and a limited understanding of the complex retention mechanisms. In this study, we present a comparison of the chromatographic performance of a traditional RP-C18 column with zwitterionic, amide-, alkyl diol-, and aminoalkyl-based HILIC and mixed-mode columns. Our metabolite library represents one of the largest analyte sets available and consists of 764 authentic metabolite standards, including amino acids, nucleotides, sugars, and other metabolites, representing all major biological pathways and commonly observed exogenous metabolites (drugs). The coverage, retention patterns, and selectivity of the individual methods are highly diverse even between conceptually related HILIC methods. Furthermore, we show that HILIC sorbents having highly orthogonal selectivity and specificity enhance the coverage of major metabolite groups in (semi-) targeted applications compared to RP. Finally, we discuss issues encountered in the analysis of biological samples based on the results obtained with human plasma extracts. Our results demonstrate that fast and highly reproducible separations on zwitterionic columns are feasible, but knowledge of analyte properties is essential to avoid chromatographic bias and exclusion of key analytes in metabolomics studies. Graphical Abstract The chromatographic parameters of 764 authentic metabolite standards provide the basis for a comparison of coverage, selectivity and orthogonality of 7 reversed-phase (RP), mixed-mode (MM) and hydrophilic interaction liquid chromatography (HILIC) methods.

Entities:  

Keywords:  High-performance liquid chromatography; Hydrophilic interaction liquid chromatography; Mass spectrometry; Metabolomics; Reversed phase; Selectivity

Mesh:

Year:  2016        PMID: 27370688      PMCID: PMC4983217          DOI: 10.1007/s00216-016-9716-4

Source DB:  PubMed          Journal:  Anal Bioanal Chem        ISSN: 1618-2642            Impact factor:   4.142


  28 in total

1.  Quantitative structure-retention relationships with model analytes as a means of an objective evaluation of chromatographic columns.

Authors:  M Ahmed Al-Haj; R Kaliszan; B Buszewski
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Review 2.  Metabonomics: a platform for studying drug toxicity and gene function.

Authors:  Jeremy K Nicholson; John Connelly; John C Lindon; Elaine Holmes
Journal:  Nat Rev Drug Discov       Date:  2002-02       Impact factor: 84.694

3.  Analytical Lipidomics in Metabolic and Clinical Research.

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Journal:  Trends Endocrinol Metab       Date:  2015-10-01       Impact factor: 12.015

Review 4.  Advances in metabolite identification.

Authors:  David S Wishart
Journal:  Bioanalysis       Date:  2011-08       Impact factor: 2.681

5.  Investigations on the chromatographic behaviour of zwitterionic stationary phases used in hydrophilic interaction chromatography.

Authors:  Raluca-Ioana Chirita; Caroline West; Sandrine Zubrzycki; Adriana-Luminita Finaru; Claire Elfakir
Journal:  J Chromatogr A       Date:  2011-04-08       Impact factor: 4.759

6.  Hydrophilic-subtraction model for the characterization and comparison of hydrophilic interaction liquid chromatography columns.

Authors:  Jixia Wang; Zhimou Guo; Aijin Shen; Long Yu; Yuansheng Xiao; Xingya Xue; Xiuli Zhang; Xinmiao Liang
Journal:  J Chromatogr A       Date:  2015-03-30       Impact factor: 4.759

7.  Computational analysis and ratiometric comparison approaches aimed to assist column selection in hydrophilic interaction liquid chromatography-tandem mass spectrometry targeted metabolomics.

Authors:  Ioannis Sampsonidis; Michael Witting; Wendelin Koch; Christina Virgiliou; Helen G Gika; Philippe Schmitt-Kopplin; Georgios A Theodoridis
Journal:  J Chromatogr A       Date:  2015-06-14       Impact factor: 4.759

Review 8.  Main interactions and influences of the chromatographic parameters in HILIC separations.

Authors:  Giorgia Greco; Thomas Letzel
Journal:  J Chromatogr Sci       Date:  2013-03-13       Impact factor: 1.618

9.  Some factors that can lead to poor peak shape in hydrophilic interaction chromatography, and possibilities for their remediation.

Authors:  James C Heaton; David V McCalley
Journal:  J Chromatogr A       Date:  2015-10-26       Impact factor: 4.759

10.  Evaluation of mobile phase characteristics on three zwitterionic columns in hydrophilic interaction liquid chromatography mode for liquid chromatography-high resolution mass spectrometry based untargeted metabolite profiling of Leishmania parasites.

Authors:  Rong Zhang; David G Watson; Lijie Wang; Gareth D Westrop; Graham H Coombs; Tong Zhang
Journal:  J Chromatogr A       Date:  2014-08-17       Impact factor: 4.759

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Journal:  Mass Spectrom (Tokyo)       Date:  2016-11-25

2.  Probing the application range and selectivity of a differential mobility spectrometry-mass spectrometry platform for metabolomics.

Authors:  Stefanie Wernisch; Farsad Afshinnia; Thekkelnaycke Rajendiran; Subramaniam Pennathur
Journal:  Anal Bioanal Chem       Date:  2018-03-12       Impact factor: 4.142

3.  In-Source CID Ramping and Covariant Ion Analysis of Hydrophilic Interaction Chromatography Metabolomics.

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4.  Methods for Quantifying the Metabolic Boundary Fluxes of Cell Cultures in Large Cohorts by High-Resolution Hydrophilic Liquid Chromatography Mass Spectrometry.

Authors:  Ryan A Groves; Maryam Mapar; Raied Aburashed; Luis F Ponce; Stephanie L Bishop; Thomas Rydzak; Marija Drikic; Dominique G Bihan; Hallgrimur Benediktsson; Fiona Clement; Daniel B Gregson; Ian A Lewis
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5.  Accurate prediction of retention in hydrophilic interaction chromatography by back calculation of high pressure liquid chromatography gradient profiles.

Authors:  Nu Wang; Paul G Boswell
Journal:  J Chromatogr A       Date:  2017-08-26       Impact factor: 4.759

6.  Trace Phosphate Improves ZIC-pHILIC Peak Shape, Sensitivity, and Coverage for Untargeted Metabolomics.

Authors:  Jonathan L Spalding; Fuad J Naser; Nathaniel G Mahieu; Stephen L Johnson; Gary J Patti
Journal:  J Proteome Res       Date:  2018-09-25       Impact factor: 4.466

7.  Ammonium Fluoride as Suitable Additive for HILIC-Based LC-HRMS Metabolomics.

Authors:  Luca Narduzzi; Anne-Lise Royer; Emmanuelle Bichon; Yann Guitton; Corinne Buisson; Bruno Le Bizec; Gaud Dervilly-Pinel
Journal:  Metabolites       Date:  2019-11-27

8.  Choosing an Optimal Sample Preparation in Caulobacter crescentus for Untargeted Metabolomics Approaches.

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Journal:  Metabolites       Date:  2019-09-20

Review 9.  From Samples to Insights into Metabolism: Uncovering Biologically Relevant Information in LC-HRMS Metabolomics Data.

Authors:  Julijana Ivanisevic; Elizabeth J Want
Journal:  Metabolites       Date:  2019-12-17

10.  Benchmarking Non-Targeted Metabolomics Using Yeast-Derived Libraries.

Authors:  Evelyn Rampler; Gerrit Hermann; Gerlinde Grabmann; Yasin El Abiead; Harald Schoeny; Christoph Baumgartinger; Thomas Köcher; Gunda Koellensperger
Journal:  Metabolites       Date:  2021-03-10
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