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Proteomic approaches to decipher mechanisms underlying pathogenesis in multiple sclerosis patients.

Abstract

Multiple sclerosis (MS) is a chronic inflammatory demyelinating and neurodegenerative disease of the central nervous system (CNS). The cause of MS is unknown, with no effective therapies available to halt the progressive neurological disability. Development of new and improvement of existing therapeutic strategies would therefore require a better understanding of MS pathogenesis, especially during the progressive phase of the disease. This can be achieved through development of biomarkers that can help to identify disease pathophysiology and monitor disease progression. Proteomics is a powerful and promising tool to accelerate biomarker detection and contribute to novel therapeutics. In this review, we provide an overview of how proteomic technology using CNS tissues and biofluids from MS patients has provided important clues to the pathogenesis of MS. We discuss current publications, pitfalls, as well as directions of future research involving proteomic approaches to understand the pathogenesis of MS. This article is protected by copyright. All rights reserved.

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  • Authors+Show Affiliations

    ,

    Department of Neurosciences, Cleveland Clinic, Cleveland, OH, 44195, USA.

    ,

    Department of Neurosciences, Cleveland Clinic, Cleveland, OH, 44195, USA.

    Department of Neurosciences, Cleveland Clinic, Cleveland, OH, 44195, USA.

    Source

    Proteomics : 2019 May 23 pg e1800335

    Pub Type(s)

    Journal Article
    Review

    Language

    eng

    PubMed ID

    31119864

    Citation

    Singh, Vaibhav, et al. "Proteomic Approaches to Decipher Mechanisms Underlying Pathogenesis in Multiple Sclerosis Patients." Proteomics, 2019, pp. e1800335.
    Singh V, Tripathi A, Dutta R. Proteomic approaches to decipher mechanisms underlying pathogenesis in multiple sclerosis patients. Proteomics. 2019.
    Singh, V., Tripathi, A., & Dutta, R. (2019). Proteomic approaches to decipher mechanisms underlying pathogenesis in multiple sclerosis patients. Proteomics, pp. e1800335. doi:10.1002/pmic.201800335.
    Singh V, Tripathi A, Dutta R. Proteomic Approaches to Decipher Mechanisms Underlying Pathogenesis in Multiple Sclerosis Patients. Proteomics. 2019 May 23;e1800335. PubMed PMID: 31119864.
    * Article titles in AMA citation format should be in sentence-case
    TY - JOUR T1 - Proteomic approaches to decipher mechanisms underlying pathogenesis in multiple sclerosis patients. AU - Singh,Vaibhav, AU - Tripathi,Ajai, AU - Dutta,Ranjan, Y1 - 2019/05/23/ PY - 2018/09/05/received PY - 2019/05/15/revised PY - 2019/05/21/accepted PY - 2019/5/24/entrez KW - CNS KW - Multiple sclerosis KW - Proteomics KW - biomarkers SP - e1800335 EP - e1800335 JF - Proteomics JO - Proteomics N2 - Multiple sclerosis (MS) is a chronic inflammatory demyelinating and neurodegenerative disease of the central nervous system (CNS). The cause of MS is unknown, with no effective therapies available to halt the progressive neurological disability. Development of new and improvement of existing therapeutic strategies would therefore require a better understanding of MS pathogenesis, especially during the progressive phase of the disease. This can be achieved through development of biomarkers that can help to identify disease pathophysiology and monitor disease progression. Proteomics is a powerful and promising tool to accelerate biomarker detection and contribute to novel therapeutics. In this review, we provide an overview of how proteomic technology using CNS tissues and biofluids from MS patients has provided important clues to the pathogenesis of MS. We discuss current publications, pitfalls, as well as directions of future research involving proteomic approaches to understand the pathogenesis of MS. This article is protected by copyright. All rights reserved. SN - 1615-9861 UR - https://www.unboundmedicine.com/medline/citation/31119864/Proteomic_approaches_to_decipher_mechanisms_underlying_pathogenesis_in_multiple_sclerosis_patients L2 - https://doi.org/10.1002/pmic.201800335 DB - PRIME DP - Unbound Medicine ER -