Literature DB >> 36152150

Untargeted Metabolomics by Liquid Chromatography-Mass Spectrometry in Biomedical Research.

Caridad Díaz1, Carmen González-Olmedo2.   

Abstract

Metabolomics, alone or in combination with other omics sciences, has shown great relevance in a large number of investigations in different branches of biomedicine, often providing novel discoveries and helping to expand the knowledge. Metabolomics analyses are carried out using different techniques, but in this chapter, we focus on liquid chromatography coupled to high-resolution mass spectrometry. The designated methodology consists of an untargeted approach for the analysis of plasma samples. The use of this method, with a reverse-phase column and electrospray ionization in positive mode, covers the detection of a broad range of metabolites, mainly of nonpolar and of intermediate polarity. This chapter also reviews the mass fragmentation spectra for the identification of bile acids, acylcarnitines, and glycerophospholipids.
© 2023. The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature.

Entities:  

Keywords:  Acylcarnitines; Bile acids; Glycerophospolipids; Lipids; Mass spectrometry; Plasma; Reverse phase; Untargeted metabolomics

Mesh:

Substances:

Year:  2023        PMID: 36152150     DOI: 10.1007/978-1-0716-2699-3_6

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  18 in total

1.  Metabolomic profile related to cardiovascular disease in patients with type 2 diabetes mellitus: A pilot study.

Authors:  Beatriz García-Fontana; Sonia Morales-Santana; Caridad Díaz Navarro; Pedro Rozas-Moreno; Olga Genilloud; Francisca Vicente Pérez; José Pérez del Palacio; Mnuel Muñoz-Torres
Journal:  Talanta       Date:  2015-10-27       Impact factor: 6.057

Review 2.  Nutritional Modulation of Innate Immunity: The Fat-Bile-Gut Connection.

Authors:  Raphael Chevre; Carlos Silvestre-Roig; Oliver Soehnlein
Journal:  Trends Endocrinol Metab       Date:  2018-09-06       Impact factor: 12.015

3.  Deep learning meets metabolomics: a methodological perspective.

Authors:  Partho Sen; Santosh Lamichhane; Vivek B Mathema; Aidan McGlinchey; Alex M Dickens; Sakda Khoomrung; Matej Orešič
Journal:  Brief Bioinform       Date:  2020-09-17       Impact factor: 11.622

4.  Potential serum biomarkers from a metabolomics study of autism.

Authors:  Han Wang; Shuang Liang; Maoqing Wang; Jingquan Gao; Caihong Sun; Jia Wang; Wei Xia; Shiying Wu; Susan J Sumner; Fengyu Zhang; Changhao Sun; Lijie Wu
Journal:  J Psychiatry Neurosci       Date:  2016-01       Impact factor: 6.186

5.  Antibiotic Exposure and Reduced Short Chain Fatty Acid Production after Hematopoietic Stem Cell Transplant.

Authors:  Lindsey E Romick-Rosendale; David B Haslam; Adam Lane; Lee Denson; Kelly Lake; Alyss Wilkey; Miki Watanabe; Stuart Bauer; Bridget Litts; Nathan Luebbering; Christopher E Dandoy; Stella M Davies
Journal:  Biol Blood Marrow Transplant       Date:  2018-07-26       Impact factor: 5.742

6.  Comparative Metabolomics between Mycobacterium tuberculosis and the MTBVAC Vaccine Candidate.

Authors:  Caridad Díaz; José Pérez Del Palacio; Pedro Luis Valero-Guillén; Patricia Mena García; Irene Pérez; Francisca Vicente; Carlos Martín; Olga Genilloud; Antonio Sánchez Pozo; Jesús Gonzalo-Asensio
Journal:  ACS Infect Dis       Date:  2019-05-30       Impact factor: 5.084

7.  Metabolite profiling and cardiovascular event risk: a prospective study of 3 population-based cohorts.

Authors:  Peter Würtz; Aki S Havulinna; Pasi Soininen; Tuulia Tynkkynen; David Prieto-Merino; Therese Tillin; Anahita Ghorbani; Anna Artati; Qin Wang; Mika Tiainen; Antti J Kangas; Johannes Kettunen; Jari Kaikkonen; Vera Mikkilä; Antti Jula; Mika Kähönen; Terho Lehtimäki; Debbie A Lawlor; Tom R Gaunt; Alun D Hughes; Naveed Sattar; Thomas Illig; Jerzy Adamski; Thomas J Wang; Markus Perola; Samuli Ripatti; Ramachandran S Vasan; Olli T Raitakari; Robert E Gerszten; Juan-Pablo Casas; Nish Chaturvedi; Mika Ala-Korpela; Veikko Salomaa
Journal:  Circulation       Date:  2015-01-08       Impact factor: 29.690

Review 8.  Occupational and environmental exposure to pesticides and cytokine pathways in chronic diseases (Review).

Authors:  Silvia Gangemi; Eliza Gofita; Chiara Costa; Michele Teodoro; Giusi Briguglio; Dragana Nikitovic; George Tzanakakis; Aristides M Tsatsakis; Martin F Wilks; Demetrios A Spandidos; Concettina Fenga
Journal:  Int J Mol Med       Date:  2016-09-02       Impact factor: 4.101

9.  Mass Spectrometric Identification of Urinary Biomarkers of Pulmonary Tuberculosis.

Authors:  Flonza Isa; Sean Collins; Myung Hee Lee; Diessy Decome; Nancy Dorvil; Patrice Joseph; Lauren Smith; Stephen Salerno; Martin T Wells; Steven Fischer; James M Bean; Jean W Pape; Warren D Johnson; Daniel W Fitzgerald; Kyu Y Rhee
Journal:  EBioMedicine       Date:  2018-04-22       Impact factor: 8.143

10.  High-resolution metabolomic profiling of Alzheimer's disease in plasma.

Authors:  Megan M Niedzwiecki; Douglas I Walker; Jennifer Christina Howell; Kelly D Watts; Dean P Jones; Gary W Miller; William T Hu
Journal:  Ann Clin Transl Neurol       Date:  2019-12-11       Impact factor: 4.511

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