Literature DB >> 35133530

Cerebrospinal fluid kappa free light chains as biomarker in multiple sclerosis-from diagnosis to prediction of disease activity.

Harald Hegen1, Klaus Berek2, Florian Deisenhammer2.   

Abstract

Multiple sclerosis (MS) is a chronic immune-mediated disorder of the central nervous system that shows a high interindividual heterogeneity, which frequently poses challenges regarding diagnosis and prediction of disease activity. In this context, evidence of intrathecal inflammation provides an important information and might be captured by kappa free light chains (κ-FLC) in the cerebrospinal fluid (CSF). In this review, we provide an overview on what is currently known about κ‑FLC, its historical development, the available assays and current evidence on its diagnostic and prognostic value in MS. Briefly, intrathecal κ‑FLC synthesis reaches similar diagnostic accuracy compared to the well-established CSF-restricted oligoclonal bands (OCB) to identify patients with MS, and recent studies even depict its value for prediction of early MS disease activity. Furthermore, detection of κ‑FLC has significant methodological advantages in comparison to OCB detection.
© 2022. The Author(s).

Entities:  

Keywords:  Clinically isolated syndrome; FLC index; Oligoclonal bands; Progression; Relapse

Year:  2022        PMID: 35133530     DOI: 10.1007/s10354-022-00912-7

Source DB:  PubMed          Journal:  Wien Med Wochenschr        ISSN: 0043-5341


  53 in total

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Authors:  Georgina Arrambide; Mar Tintore; Carmen Espejo; Cristina Auger; Mireia Castillo; Jordi Río; Joaquín Castilló; Angela Vidal-Jordana; Ingrid Galán; Carlos Nos; Raquel Mitjana; Patricia Mulero; Andrea de Barros; Breogán Rodríguez-Acevedo; Luciana Midaglia; Jaume Sastre-Garriga; Alex Rovira; Manuel Comabella; Xavier Montalban
Journal:  Brain       Date:  2018-04-01       Impact factor: 13.501

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Authors:  Gavin Giovannoni
Journal:  Curr Opin Neurol       Date:  2018-06       Impact factor: 5.710

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Journal:  J Neurol Sci       Date:  1994-04       Impact factor: 3.181

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