Literature DB >> 33314304

Developments and applications of separation and microfluidics methods coupled to electrospray mass spectrometry in glycomics of nervous system gangliosides.

Mirela Sarbu1, Raluca Ica1,2, Alina D Zamfir1,3.   

Abstract

Gangliosides are particularly abundant in the nervous system (NS) where their pattern and structure in a certain milieu or a defined region exhibit a pronounced specificity. Since gangliosides are useful biomarkers for diagnosis of NS ailments, a clear-cut mapping of individual components represents a prerequisite for designing ganglioside-based diagnostic procedures, treatments, or vaccines. These bioclinical aspects and the high diversity of ganglioside species claim for development of specific analytical strategies. This review summarizes the state-of-the-art in the implementation of separation techniques and microfluidics coupled to MS, which have contributed significantly to the advancement of the field. In the first part, the review discusses relevant approaches based on HPLC MS and CE coupled to ESI MS and their applications in the characterization of gangliosides expressed in healthy and diseased NS. A considerable section is dedicated to microfluidics MS and ion mobility separation MS, developed for the study of brain gangliosidome and its changes triggered by various factors, as well as for ganglioside biomarker discovery in neurodegenerative diseases and brain cancer. In the last part of the review, the benefits and perspectives in ganglioside research of these high-performance techniques are presented.
© 2020 Wiley-VCH GmbH.

Entities:  

Keywords:  CE; ESI MS; Gangliosides; HPLC; Ion mobility MS; Microfluidics

Year:  2021        PMID: 33314304     DOI: 10.1002/elps.202000236

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


  2 in total

Review 1.  Gangliosides as Biomarkers of Human Brain Diseases: Trends in Discovery and Characterization by High-Performance Mass Spectrometry.

Authors:  Mirela Sarbu; Raluca Ica; Alina D Zamfir
Journal:  Int J Mol Sci       Date:  2022-01-08       Impact factor: 5.923

2.  Human metabolite detection by surface-enhanced Raman spectroscopy.

Authors:  Yao Lu; Li Lin; Jian Ye
Journal:  Mater Today Bio       Date:  2022-01-19
  2 in total

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