Literature DB >> 22102985

Modern analytical techniques in metabolomics analysis.

Aihua Zhang1, Hui Sun, Ping Wang, Ying Han, Xijun Wang.   

Abstract

Metabolomics is the comprehensive assessment of endogenous metabolites and attempts to systematically identify and quantify metabolites from a biological sample. Small-molecule metabolites have an important role in biological systems and represent attractive candidates to understand disease phenotypes. Metabolites represent a diverse group of low-molecular-weight structures including lipids, amino acids, peptides, nucleic acids, organic acids, vitamins, thiols and carbohydrates, which makes global analysis a difficult challenge. The recent rapid development of a range of analytical platforms, including GC, HPLC, UPLC, CE coupled to MS and NMR spectroscopy, could enable separation, detection, characterization and quantification of such metabolites and related metabolic pathways. Owing to the complexity of the metabolome and the diverse properties of metabolites, no single analytical platform can be applied to detect all metabolites in a biological sample. The combined use of modern instrumental analytical approaches has unravelled the ideal outcomes in metabolomics, and is beneficial to increase the coverage of detected metabolites that can not be achieved by single-analysis techniques. Integrated platforms have been frequently used to provide sensitive and reliable detection of thousands of metabolites in a biofluid sample. Continued development of these analytical platforms will accelerate widespread use and integration of metabolomics into systems biology. Here, the application of each hyphenated technique is discussed and its strengths and limitations are discussed with selected illustrative examples; furthermore, this review comprehensively highlights the role of integrated tools in metabolomic research.

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Mesh:

Year:  2011        PMID: 22102985     DOI: 10.1039/c1an15605e

Source DB:  PubMed          Journal:  Analyst        ISSN: 0003-2654            Impact factor:   4.616


  152 in total

Review 1.  Future perspectives of Chinese medical formulae: chinmedomics as an effector.

Authors:  Xijun Wang; Aihua Zhang; Hui Sun
Journal:  OMICS       Date:  2012-06-26

Review 2.  Cell metabolomics.

Authors:  Aihua Zhang; Hui Sun; Hongying Xu; Shi Qiu; Xijun Wang
Journal:  OMICS       Date:  2013-08-29

Review 3.  Therapeutic cyclic lipopeptides mining from microbes: latest strides and hurdles.

Authors:  Seema Patel; Shadab Ahmed; J Satya Eswari
Journal:  World J Microbiol Biotechnol       Date:  2015-06-04       Impact factor: 3.312

4.  Mass spectral similarity for untargeted metabolomics data analysis of complex mixtures.

Authors:  Neha Garg; Clifford Kapono; Yan Wei Lim; Nobuhiro Koyama; Mark J A Vermeij; Douglas Conrad; Forest Rohwer; Pieter C Dorrestein
Journal:  Int J Mass Spectrom       Date:  2015-02-01       Impact factor: 1.986

Review 5.  Gut microbiota-derived metabolites as key actors in inflammatory bowel disease.

Authors:  Aonghus Lavelle; Harry Sokol
Journal:  Nat Rev Gastroenterol Hepatol       Date:  2020-02-19       Impact factor: 46.802

Review 6.  Application of Metabolomics to Osteoarthritis: from Basic Science to the Clinical Approach.

Authors:  Salah Ali A Showiheen; Antonia RuJia Sun; Xiaoxin Wu; Ross Crawford; Yin Xiao; R Mark Wellard; Indira Prasadam
Journal:  Curr Rheumatol Rep       Date:  2019-05-06       Impact factor: 4.592

7.  One mutation, three phenotypes: novel metabolic insights on MELAS, MIDD and myopathy caused by the m.3243A > G mutation.

Authors:  Karien Esterhuizen; J Zander Lindeque; Shayne Mason; Francois H van der Westhuizen; Richard J Rodenburg; Paul de Laat; Jan A M Smeitink; Mirian C H Janssen; Roan Louw
Journal:  Metabolomics       Date:  2021-01-12       Impact factor: 4.290

8.  Single-Cell Metabolomics by Mass Spectrometry Imaging.

Authors:  Maria Emilia Dueñas; Young Jin Lee
Journal:  Adv Exp Med Biol       Date:  2021       Impact factor: 2.622

Review 9.  MicroRNA regulation and analytical methods in cancer cell metabolism.

Authors:  Ling-Fei Zhang; Shuai Jiang; Mo-Fang Liu
Journal:  Cell Mol Life Sci       Date:  2017-03-20       Impact factor: 9.261

10.  In vivo toxicometabolomics reveals multi-organ and urine metabolic changes in mice upon acute exposure to human-relevant doses of 3,4-methylenedioxypyrovalerone (MDPV).

Authors:  Ana Margarida Araújo; Márcia Carvalho; Vera Marisa Costa; José Alberto Duarte; Ricardo Jorge Dinis-Oliveira; Maria de Lourdes Bastos; Paula Guedes de Pinho; Félix Carvalho
Journal:  Arch Toxicol       Date:  2020-11-19       Impact factor: 5.153

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