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MS-based glycomics: An analytical tool to assess nervous system diseases.
Peng, Wenjing; Kobeissy, Firas; Mondello, Stefania; Barsa, Chloe; Mechref, Yehia.
Afiliación
  • Peng W; Department of Chemistry and Biochemistry, Texas Tech University, Lubbock, TX, United States.
  • Kobeissy F; Program for Neurotrauma, Neuroproteomics and Biomarkers Research, Department of Emergency Medicine, University of Florida, Gainesville, FL, United States.
  • Mondello S; Department of Biomedical and Dental Sciences and Morphofunctional Imaging, University of Messina, Messina, Italy.
  • Barsa C; Program for Neurotrauma, Neuroproteomics and Biomarkers Research, Department of Emergency Medicine, University of Florida, Gainesville, FL, United States.
  • Mechref Y; Department of Chemistry and Biochemistry, Texas Tech University, Lubbock, TX, United States.
Front Neurosci ; 16: 1000179, 2022.
Article en En | MEDLINE | ID: mdl-36408389
Neurological diseases affect millions of peopleochemistryorldwide and are continuously increasing due to the globe's aging population. Such diseases affect the nervous system and are characterized by a progressive decline in brain function and progressive cognitive impairment, decreasing the quality of life for those with the disease as well as for their families and loved ones. The increased burden of nervous system diseases demands a deeper insight into the biomolecular mechanisms at work during disease development in order to improve clinical diagnosis and drug design. Recently, evidence has related glycosylation to nervous system diseases. Glycosylation is a vital post-translational modification that mediates many biological functions, and aberrant glycosylation has been associated with a variety of diseases. Thus, the investigation of glycosylation in neurological diseases could provide novel biomarkers and information for disease pathology. During the last decades, many techniques have been developed for facilitation of reliable and efficient glycomic analysis. Among these, mass spectrometry (MS) is considered the most powerful tool for glycan analysis due to its high resolution, high sensitivity, and the ability to acquire adequate structural information for glycan identification. Along with MS, a variety of approaches and strategies are employed to enhance the MS-based identification and quantitation of glycans in neurological samples. Here, we review the advanced glycomic tools used in nervous system disease studies, including separation techniques prior to MS, fragmentation techniques in MS, and corresponding strategies. The glycan markers in common clinical nervous system diseases discovered by utilizing such MS-based glycomic tools are also summarized and discussed.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Aspecto: Patient_preference Idioma: En Revista: Front Neurosci Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Suiza
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Aspecto: Patient_preference Idioma: En Revista: Front Neurosci Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Suiza