Literature DB >> 31695250

Mass Spectrometry: A Guide for the Clinician.

Munirah Alsaleh1, Thomas A Barbera1, Ross H Andrews1,2, Paiboon Sithithaworn2, Narong Khuntikeo2, Watcharin Loilome2, Puangrat Yongvanit2, Isobel J Cox3,4, Richard R A Syms5, Elaine Holmes1, Simon D Taylor-Robinson1.   

Abstract

Metabolic profiling, metabonomics and metabolomics are terms coined in the late 1990s as they emerged as the newest 'omics' technology at the time. This line of research enquiry uses spectroscopic analytical platforms, which are mainly nuclear magnetic resonance spectroscopy and mass spectrometry (MS), to acquire a snapshot of metabolites, the end products of a complex biological system. Metabolic profiling enables the detection, quantification and characterisation of metabolites in biofluids, cells and tissues. The source of these compounds can be of endogenous, microbial or exogenous origin, such as dietary or xenobiotic. This results in generating extensive, multivariate spectroscopic data that require specific statistical manipulation, typically performed using chemometric and pattern recognition techniques to reduce its dimensions, facilitate its biological interpretation and allow sample classification and biomarker discovery. Consequently, it is possible to study the dynamic metabolic changes in response to disease, intervention or environmental conditions. In this review, we describe the fundamentals of MS so that clinicians can be literate in the field and are able to interrogate the right scientific questions.
© 2019 Indian National Association for Study of the Liver. Published by Elsevier B.V. All rights reserved.

Keywords:  CID, collision-induced dissociation; DC, direct current; ESI, electrospray ionisation; FC, fold change; GC, gas chromatography; HILIC, hydrophilic interaction liquid chromatography; LC, liquid chromatography; MS, mass spectrometry; MWA, metabolome-wide association; NMR, nuclear magnetic resonance; OPLS-DA, orthogonal partial least squared-discriminant analysis; PC, principal component; PCA, principal components analysis; Q-TOF, quadrupole coupled with time-of-flight; RF, radio frequency; RP, reversed-phase; UPLC, ultra-performance liquid chromatography; VIP, variable importance of projection; mass spectroscopy; mass-charge ratio; metabolic profiling; metabolomics; targeted profiling

Year:  2019        PMID: 31695250      PMCID: PMC6823691          DOI: 10.1016/j.jceh.2019.04.053

Source DB:  PubMed          Journal:  J Clin Exp Hepatol        ISSN: 0973-6883


  16 in total

1.  Global metabolic profiling procedures for urine using UPLC-MS.

Authors:  Elizabeth J Want; Ian D Wilson; Helen Gika; Georgios Theodoridis; Robert S Plumb; John Shockcor; Elaine Holmes; Jeremy K Nicholson
Journal:  Nat Protoc       Date:  2010-06       Impact factor: 13.491

Review 2.  Analytical strategies in metabonomics.

Authors:  Eva Maria Lenz; Ian D Wilson
Journal:  J Proteome Res       Date:  2007-02       Impact factor: 4.466

3.  Optimized preprocessing of ultra-performance liquid chromatography/mass spectrometry urinary metabolic profiles for improved information recovery.

Authors:  Kirill A Veselkov; Lisa K Vingara; Perrine Masson; Steven L Robinette; Elizabeth Want; Jia V Li; Richard H Barton; Claire Boursier-Neyret; Bernard Walther; Timothy M Ebbels; István Pelczer; Elaine Holmes; John C Lindon; Jeremy K Nicholson
Journal:  Anal Chem       Date:  2011-07-05       Impact factor: 6.986

Review 4.  Emerging applications of metabolomics in drug discovery and precision medicine.

Authors:  David S Wishart
Journal:  Nat Rev Drug Discov       Date:  2016-03-11       Impact factor: 84.694

Review 5.  Innovation: Metabolomics: the apogee of the omics trilogy.

Authors:  Gary J Patti; Oscar Yanes; Gary Siuzdak
Journal:  Nat Rev Mol Cell Biol       Date:  2012-03-22       Impact factor: 94.444

6.  Quantitative analysis of urine vapor and breath by gas-liquid partition chromatography.

Authors:  L Pauling; A B Robinson; R Teranishi; P Cary
Journal:  Proc Natl Acad Sci U S A       Date:  1971-10       Impact factor: 11.205

7.  METLIN: a metabolite mass spectral database.

Authors:  Colin A Smith; Grace O'Maille; Elizabeth J Want; Chuan Qin; Sunia A Trauger; Theodore R Brandon; Darlene E Custodio; Ruben Abagyan; Gary Siuzdak
Journal:  Ther Drug Monit       Date:  2005-12       Impact factor: 3.681

8.  Metabolic profiling, metabolomic and metabonomic procedures for NMR spectroscopy of urine, plasma, serum and tissue extracts.

Authors:  Olaf Beckonert; Hector C Keun; Timothy M D Ebbels; Jacob Bundy; Elaine Holmes; John C Lindon; Jeremy K Nicholson
Journal:  Nat Protoc       Date:  2007       Impact factor: 13.491

9.  Human metabolic phenotype diversity and its association with diet and blood pressure.

Authors:  Elaine Holmes; Ruey Leng Loo; Jeremiah Stamler; Magda Bictash; Ivan K S Yap; Queenie Chan; Tim Ebbels; Maria De Iorio; Ian J Brown; Kirill A Veselkov; Martha L Daviglus; Hugo Kesteloot; Hirotsugu Ueshima; Liancheng Zhao; Jeremy K Nicholson; Paul Elliott
Journal:  Nature       Date:  2008-04-20       Impact factor: 49.962

Review 10.  Statistical methods for the analysis of high-throughput metabolomics data.

Authors:  Jörg Bartel; Jan Krumsiek; Fabian J Theis
Journal:  Comput Struct Biotechnol J       Date:  2013-03-22       Impact factor: 7.271

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  1 in total

Review 1.  Narrative review of metabolomics in cardiovascular disease.

Authors:  Julian Müller; Thomas Bertsch; Justus Volke; Alexander Schmid; Rebecca Klingbeil; Yulian Metodiev; Bican Karaca; Seung-Hyun Kim; Simon Lindner; Tobias Schupp; Maximilian Kittel; Gernot Poschet; Ibrahim Akin; Michael Behnes
Journal:  J Thorac Dis       Date:  2021-04       Impact factor: 3.005

  1 in total

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