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Body fluid markers for multiple sclerosis and differential diagnosis from atypical demyelinating disorders.
Bauer, Angelika; Hegen, Harald; Reindl, Markus.
Affiliation
  • Bauer A; Clinical Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria.
  • Hegen H; Institute of Hygiene and Medical Microbiology, Medical University of Innsbruck, Innsbruck, Austria.
  • Reindl M; Clinical Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria.
Expert Rev Mol Diagn ; 24(4): 283-297, 2024 Apr.
Article in En | MEDLINE | ID: mdl-38533708
ABSTRACT

INTRODUCTION:

Body fluid markers could be helpful to predict the conversion into clinically definite multiple sclerosis (MS) in people with a first demyelinating event of the central nervous system (CNS). Consequently, biomarkers such as oligoclonal bands, which are integrated in the current MS diagnostic criteria, could assist early MS diagnosis. AREAS COVERED This review examines existing knowledge on a broad spectrum of body fluid markers in people with a first CNS demyelinating event, explores their potential to predict conversion to MS, to assess MS disease activity, as well as their utility to differentiate MS from atypical demyelinating disorders such as neuromyelitis optica spectrum disorder and myelin oligodendrocyte glycoprotein associated disease. EXPERT OPINION This field of research has shown a dramatic increase of evidence, especially in the last decade. Some biomarkers are already established in clinical routine (e.g. oligoclonal bands) while others are currently implemented (e.g. kappa free light chains) or considered as breakthroughs (e.g. neurofilament light). Determination of biomarkers poses challenges for continuous monitoring, especially if exclusively detectable in cerebrospinal fluid. A handful of biomarkers are measurable in blood which holds a significant potential.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Expert Rev Mol Diagn Journal subject: BIOLOGIA MOLECULAR Year: 2024 Document type: Article Affiliation country: Austria

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Expert Rev Mol Diagn Journal subject: BIOLOGIA MOLECULAR Year: 2024 Document type: Article Affiliation country: Austria