Literature DB >> 33834448

Mass Spectrometry-based Metabolomics in Translational Research.

Su Jung Kim1, Ha Eun Song1, Hyo Yeong Lee1, Hyun Ju Yoo2.   

Abstract

Metabolomics is the systematic study of metabolite profiles of complex biological systems, and involves the systematic identification and quantification of metabolites. Metabolism is integrated with all biochemical reactions in biological systems; thus metabolite profiles provide collective information on biochemical processes induced by genetic or environmental perturbations. Transcriptomes or proteomes may not be functionally active and not always reflect phenotypic variations. The metabolome, however, consists of the biomolecules closest to the phenotype of living organisms, and is often called the molecular phenotype of biological systems. Thus, metabolome alterations can easily result in disease states, providing important clues to understand pathophysiological mechanisms contributing to various biomedical symptoms. The metabolome and metabolomics have been emphasized in translational research related to biomarker discovery, drug target discovery, drug responses, and disease mechanisms. This review describes the basic concepts, workflows, and applications of mass spectrometry-based metabolomics in translational research.

Keywords:  Mass spectrometry; Metabolome; Metabolomics; Molecular phenotype; Translational research

Mesh:

Year:  2021        PMID: 33834448     DOI: 10.1007/978-981-33-6064-8_19

Source DB:  PubMed          Journal:  Adv Exp Med Biol        ISSN: 0065-2598            Impact factor:   2.622


  144 in total

Review 1.  Proteomics by FTICR mass spectrometry: top down and bottom up.

Authors:  Bogdan Bogdanov; Richard D Smith
Journal:  Mass Spectrom Rev       Date:  2005 Mar-Apr       Impact factor: 10.946

Review 2.  Dealing with the unknown: metabolomics and metabolite atlases.

Authors:  Benjamin P Bowen; Trent R Northen
Journal:  J Am Soc Mass Spectrom       Date:  2010-04-12       Impact factor: 3.109

3.  Infrared spectroscopic characterization of mineralized tissues.

Authors:  Adele L Boskey; Richard Mendelsohn
Journal:  Vib Spectrosc       Date:  2005-07-29       Impact factor: 2.507

4.  Letter to the editors-in-chief: Bleeding time in clinical pharmacology.

Authors:  C Praga
Journal:  Thromb Res       Date:  1974-11       Impact factor: 3.944

5.  Detection and confirmation of serum lipid biomarkers for preeclampsia using direct infusion mass spectrometry.

Authors:  Swati Anand; SydneyA Young; M Sean Esplin; Benjamin Peaden; H Dennis Tolley; T Flint Porter; Michael W Varner; Mary E D'Alton; Bruce J Jackson; Steven W Graves
Journal:  J Lipid Res       Date:  2016-02-18       Impact factor: 5.922

6.  Female rats fed a high-fat diet were associated with vascular dysfunction and cardiac fibrosis in the absence of overt obesity and hyperlipidemia: therapeutic potential of resveratrol.

Authors:  Marie-Claude Aubin; Claude Lajoie; Robert Clément; Hugues Gosselin; Angelino Calderone; Louis P Perrault
Journal:  J Pharmacol Exp Ther       Date:  2008-03-20       Impact factor: 4.030

7.  Evaluation of five methods for derivatization and GC determination of a mixture of very long chain fatty acids (C24:0-C36:0).

Authors:  Ernesto Méndez Antolín; David Marrero Delange; Víctor González Canavaciolo
Journal:  J Pharm Biomed Anal       Date:  2007-09-19       Impact factor: 3.935

8.  Postprandial differences in the plasma metabolome of healthy Finnish subjects after intake of a sourdough fermented endosperm rye bread versus white wheat bread.

Authors:  Isabel Bondia-Pons; Emilia Nordlund; Ismo Mattila; Kati Katina; Anna-Marja Aura; Marjukka Kolehmainen; Matej Orešič; Hannu Mykkänen; Kaisa Poutanen
Journal:  Nutr J       Date:  2011-10-19       Impact factor: 3.271

Review 9.  Guidelines and considerations for the use of system suitability and quality control samples in mass spectrometry assays applied in untargeted clinical metabolomic studies.

Authors:  David Broadhurst; Royston Goodacre; Stacey N Reinke; Julia Kuligowski; Ian D Wilson; Matthew R Lewis; Warwick B Dunn
Journal:  Metabolomics       Date:  2018-05-18       Impact factor: 4.290

10.  Correlated Heterospectral Lipidomics for Biomolecular Profiling of Remyelination in Multiple Sclerosis.

Authors:  Mads S Bergholt; Andrea Serio; James S McKenzie; Amanda Boyd; Renata F Soares; Jocelyn Tillner; Ciro Chiappini; Vincen Wu; Andreas Dannhorn; Zoltan Takats; Anna Williams; Molly M Stevens
Journal:  ACS Cent Sci       Date:  2017-12-27       Impact factor: 14.553

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  2 in total

Review 1.  Advances and Trends in Omics Technology Development.

Authors:  Xiaofeng Dai; Li Shen
Journal:  Front Med (Lausanne)       Date:  2022-07-01

2.  Alteration of plasma metabolic profile and physical performance combined with metabolites is more sensitive to early screening for mild cognitive impairment.

Authors:  Yinjiao Zhao; Peiyu Song; Hui Zhang; Xiaoyu Chen; Peipei Han; Xing Yu; Chenghu Fang; Fandi Xie; Qi Guo
Journal:  Front Aging Neurosci       Date:  2022-07-26       Impact factor: 5.702

  2 in total

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