Literature DB >> 21506919

Proteomics-based technologies in the discovery of biomarkers for multiple sclerosis in the cerebrospinal fluid.

A S T Lourenço1, I Baldeiras, M Grãos, C B Duarte.   

Abstract

Multiple Sclerosis is the most common non-traumatic disorder of the central nervous system and is generally regarded as an immune-mediated disorder that occurs in young adults. Since cerebrospinal fluid is in close contact with the extracellular surface of the brain, it is of great interest to examine possible biomarkers for multiple sclerosis. Proteomic studies of cerebrospinal fluid samples represent an important step towards a better understanding of the disease and may lead to the identification of clinically useful markers. Methodological advances in proteomics allowed the comparison of the protein content in different cerebrospinal fluid samples, using gel or liquid-based approaches coupled with mass spectrometry. In this paper, we discuss the advantages and limitations of the strategies employed and the potential biomarkers for multiple sclerosis identified so far using proteomics-based approaches.

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Year:  2011        PMID: 21506919     DOI: 10.2174/156652411795677981

Source DB:  PubMed          Journal:  Curr Mol Med        ISSN: 1566-5240            Impact factor:   2.222


  6 in total

1.  Urinary Urea, Uric Acid and Hippuric Acid as Potential Biomarkers in Multiple Sclerosis Patients.

Authors:  Hanaa B Atya; Sahar A Ali; Mohamed I Hegazy; Fathia Z El Sharkawi
Journal:  Indian J Clin Biochem       Date:  2017-05-22

2.  Potential of urinary metabolites for diagnosing multiple sclerosis.

Authors:  Teklab Gebregiworgis; Chandirasegaran Massilamany; Arunakumar Gangaplara; Sivasubramani Thulasingam; Venkata Kolli; Mark T Werth; Eric D Dodds; David Steffen; Jay Reddy; Robert Powers
Journal:  ACS Chem Biol       Date:  2013-02-08       Impact factor: 5.100

3.  Untargeted Plasma Metabolomics Identifies Endogenous Metabolite with Drug-like Properties in Chronic Animal Model of Multiple Sclerosis.

Authors:  Laila M Poisson; Hamid Suhail; Jaspreet Singh; Indrani Datta; Aleksandar Denic; Krzysztof Labuzek; Md Nasrul Hoda; Ashray Shankar; Ashok Kumar; Mirela Cerghet; Stanton Elias; Robert P Mohney; Moses Rodriguez; Ramandeep Rattan; Ashutosh K Mangalam; Shailendra Giri
Journal:  J Biol Chem       Date:  2015-11-06       Impact factor: 5.157

4.  Modulation of oligodendrocyte differentiation and maturation by combined biochemical and mechanical cues.

Authors:  Tânia Lourenço; Joana Paes de Faria; Christian A Bippes; João Maia; José A Lopes-da-Silva; João B Relvas; Mário Grãos
Journal:  Sci Rep       Date:  2016-02-16       Impact factor: 4.379

5.  Posttranslational modifications of proteins are key features in the identification of CSF biomarkers of multiple sclerosis.

Authors:  Ivan L Salazar; Ana S T Lourenço; Bruno Manadas; Inês Baldeiras; Cláudia Ferreira; Anabela Claro Teixeira; Vera M Mendes; Ana Margarida Novo; Rita Machado; Sónia Batista; Maria do Carmo Macário; Mário Grãos; Lívia Sousa; Maria João Saraiva; Alberto A C C Pais; Carlos B Duarte
Journal:  J Neuroinflammation       Date:  2022-02-08       Impact factor: 8.322

Review 6.  Biomarkers of therapeutic response in multiple sclerosis: current status.

Authors:  Violaine K Harris; Saud A Sadiq
Journal:  Mol Diagn Ther       Date:  2014-12       Impact factor: 4.074

  6 in total

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