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Blood Biomarkers as Outcome Measures in Inflammatory Neurologic Diseases

Overview of attention for article published in Neurotherapeutics, January 2017
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Title
Blood Biomarkers as Outcome Measures in Inflammatory Neurologic Diseases
Published in
Neurotherapeutics, January 2017
DOI 10.1007/s13311-016-0486-7
Pubmed ID
Authors

Nabil K El Ayoubi, Samia J Khoury

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.

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The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
Unknown 59 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 20%
Student > Bachelor 9 15%
Student > Ph. D. Student 9 15%
Student > Doctoral Student 5 8%
Student > Master 5 8%
Other 7 12%
Unknown 13 22%
Readers by discipline Count As %
Medicine and Dentistry 13 22%
Neuroscience 11 18%
Agricultural and Biological Sciences 6 10%
Biochemistry, Genetics and Molecular Biology 5 8%
Pharmacology, Toxicology and Pharmaceutical Science 4 7%
Other 8 13%
Unknown 13 22%