Literature DB >> 24375663

Metabolomic investigation of human diseases biomarkers by CE and LC coupled to MS.

Adriana Z Buzatto1, Ana Carolina de Sousa, Sumaya F Guedes, Zuzana Cieslarová, Ana Valéria C Simionato.   

Abstract

Metabolomics is one of the most recent trends in the "omics" era that investigates the end products of an organism activity, that is, all metabolites in a biological system, which are small molecules (less than 1000 Da) from different chemical classes. Metabolomics represents a tool to assess the biochemical activity of a living system through the analysis of substrates and products processed during the metabolism. The analysis of the metabolic profile (nontargeted analysis, i.e. a comparison between samples profiles of individuals) and of specific metabolites (targeted analysis, which quantifies a selected group of metabolites) in biological samples provides an insight into the metabolic state and the biochemical processes of the organism and, therefore, may indicate the onset and the stage of different diseases. An early and accurate diagnosis is essential for successful treatment and probable cure of most illnesses; hence, the investigation of metabolites as disease biomarkers has increased considerably in recent years. This review aims to present the most relevant works that address the nontargeted and targeted analysis of metabolites in different diseases for the past 10 years, including kidney and neurological disorders, cardiovascular diseases, diabetes, and cancer, using CE and LC coupled with the accurate detection of mass spectroscopy.
© 2013 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Entities:  

Keywords:  Biomarkers; Cancer; Diabetes; Kidney disease; Neurological diseases

Mesh:

Substances:

Year:  2014        PMID: 24375663     DOI: 10.1002/elps.201300470

Source DB:  PubMed          Journal:  Electrophoresis        ISSN: 0173-0835            Impact factor:   3.535


  3 in total

Review 1.  Metabolomics Biomarkers for Detection of Colorectal Neoplasms: A Systematic Review.

Authors:  Vanessa Erben; Megha Bhardwaj; Petra Schrotz-King; Hermann Brenner
Journal:  Cancers (Basel)       Date:  2018-07-27       Impact factor: 6.639

2.  Metabolomic Profiling of Poor Ovarian Response Identifies Potential Predictive Biomarkers.

Authors:  Haixia Song; Qin Qin; Caixia Yuan; Hong Li; Fang Zhang; Lingling Fan
Journal:  Front Endocrinol (Lausanne)       Date:  2021-11-23       Impact factor: 5.555

3.  Effectiveness of an individualized program of muscular strength and endurance with aerobic training for improving germ cell cancer-related fatigue in men undergoing chemotherapy: EFICATEST study protocol for a randomized controlled trial.

Authors:  Antonio Ignacio Cuesta-Vargas; Francisco Carabantes; Zaira Caracuel; Inmaculada Conejo; Emilio Alba
Journal:  Trials       Date:  2016-01-05       Impact factor: 2.279

  3 in total

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