Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Review
. 2017 Jan;14(1):135-147.
doi: 10.1007/s13311-016-0486-7.

Blood Biomarkers as Outcome Measures in Inflammatory Neurologic Diseases

Affiliations
Review

Blood Biomarkers as Outcome Measures in Inflammatory Neurologic Diseases

Nabil K El Ayoubi et al. Neurotherapeutics. 2017 Jan.

Abstract

Multiple sclerosis (MS) is an autoimmune demyelinating disorder of the central nervous system. Only a few biomarkers are available in MS clinical practice, such as cerebrospinal fluid oligoclonal bands and immunoglobulin index, serum anti-aquaporin 4 antibodies, and serum anti-John Cunningham virus antibodies. Thus, there is a significant unmet need for biomarkers to assess prognosis, response to therapy, or potential treatment complications. Here we describe emerging biomarkers that are in development, focusing on those from peripheral blood. There are several limitations in the process of discovery and validation of a good biomarker, such as the pathophysiological complexity of MS and the technical difficulties in globally standardizing methods for sampling, processing, and conserving biological specimens. In spite of these limitations, ongoing international collaborations allow the exploration of many interesting molecules and markers to validate diagnostic, prognostic, and therapeutic-response biomarkers.

Keywords: Autoimmune demyelination; Biomarkers; Disease progression; Multiple sclerosis; Therapeutic response.

PubMed Disclaimer

Similar articles

Cited by

References

    1. Polman CH, Reingold SC, Banwell B, et al. Diagnostic criteria for multiple sclerosis: 2010 revisions to the McDonald criteria. Ann Neurol. 2011;69:292–302. doi: 10.1002/ana.22366. - DOI - PMC - PubMed
    1. Awad A, Hemmer B, Hartung HP, Kieseier B, Bennett JL, Stuve O. Analyses of cerebrospinal fluid in the diagnosis and monitoring of multiple sclerosis. J Neuroimmunol. 2010;219:1–7. doi: 10.1016/j.jneuroim.2009.09.002. - DOI - PubMed
    1. Sospedra M, Martin R. Immunology of multiple sclerosis. Annu Rev Immunol. 2005;23:683–747. doi: 10.1146/annurev.immunol.23.021704.115707. - DOI - PubMed
    1. Kasper LH, Shoemaker J. Multiple sclerosis immunology: the healthy immune system vs the MS immune system. Neurology. 2010;74:S2–S8. doi: 10.1212/WNL.0b013e3181c97c8f. - DOI - PubMed
    1. Selmi C, Mix E, Zettl UK. A clear look at the neuroimmunology of multiple sclerosis and beyond. Autoimmun Rev. 2012;11:159–162. doi: 10.1016/j.autrev.2011.05.006. - DOI - PubMed