Literature DB >> 30055097

Cerebrospinal fluid free kappa light chains and kappa index perform equal to oligoclonal bands in the diagnosis of multiple sclerosis.

Mikael Christiansen1, Mikkel Carstensen Gjelstrup2, Morten Stilund3,4, Tove Christensen2, Thor Petersen4, Holger Jon Møller1.   

Abstract

Background Detection of intrathecal immunoglobulin G (IgG) synthesis by gold standard oligoclonal bands (OCB) or IgG index remains an integral part of multiple sclerosis (MS) diagnostics, although both methods have weaknesses. Emerging evidence suggests that automated detection of free light chains (FLC) in the cerebrospinal fluid (CSF) has diagnostic performance equal to OCB. The objective of this study was to compare the diagnostic performance of CSF FLC with OCB and IgG index in a large cohort of Scandinavian patients referred for MS evaluation. Methods We prospectively included 230 patients suspected for MS. They are composed of patients with MS (n=96), clinically isolated syndrome (n=37), other neurological diseases (OND, n=31) and symptomatic controls (SC, n=66). CSF and serum samples were analyzed for kappa and lambda FLC, OCB and IgG index. Diagnostic performance was evaluated by receiver operating characteristic (ROC) analysis. Results Both the absolute concentration of CSF-kappa and the kappa index had excellent MS diagnostic performances with ROC area under the curve of 0.93 and 0.94 (MS vs. SC+OND). At the 0.42 mg/L cutoff, CSF-kappa had sensitivity and specificity of 93.8% and 85.6%, whereas sensitivity and specificity for OCB was 82.3% and 93.8% (72.9% and 95.9% for IgG index at cutoff 0.64). CSF-lambda and lambda index performed inferior to CSF-kappa and kappa index. Conclusions CSF-kappa and kappa index represent automated, rapid and low-cost alternatives to OCB. Using merely the absolute concentration of CSF-kappa is a logistic advantage in the clinical laboratories.

Entities:  

Keywords:  clinically isolated syndrome; diagnostic performance; free light chains; kappa; multiple sclerosis; oligoclonal bands

Mesh:

Substances:

Year:  2018        PMID: 30055097     DOI: 10.1515/cclm-2018-0400

Source DB:  PubMed          Journal:  Clin Chem Lab Med        ISSN: 1434-6621            Impact factor:   3.694


  6 in total

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

Authors:  Harald Hegen; Klaus Berek; Florian Deisenhammer
Journal:  Wien Med Wochenschr       Date:  2022-02-08

Review 2.  An Update on Diagnostic Laboratory Biomarkers for Multiple Sclerosis.

Authors:  Marwa Kaisey; Ghazal Lashgari; Justyna Fert-Bober; Daniel Ontaneda; Andrew J Solomon; Nancy L Sicotte
Journal:  Curr Neurol Neurosci Rep       Date:  2022-10-21       Impact factor: 6.030

3.  Inter-Laboratory Concordance of Cerebrospinal Fluid and Serum Kappa Free Light Chain Measurements.

Authors:  Patrizia Natali; Roberta Bedin; Gaetano Bernardi; Elena Corsini; Eleonora Cocco; Lucia Schirru; Ilaria Crespi; Marta Lamonaca; Arianna Sala; Cinzia Nicolò; Massimiliano Di Filippo; Alfredo Villa; Viviana Nociti; Teresa De Michele; Paola Cavalla; Paola Caropreso; Francesca Vitetta; Maria Rosaria Cucinelli; Matteo Gastaldi; Tommaso Trenti; Patrizia Sola; Diana Ferraro
Journal:  Biomolecules       Date:  2022-05-07

4.  The clinical significance of single or double bands in cerebrospinal fluid isoelectric focusing. A retrospective study and systematic review.

Authors:  Harald Hegen; Anne Zinganell; Michael Auer; Florian Deisenhammer
Journal:  PLoS One       Date:  2019-04-15       Impact factor: 3.240

Review 5.  The Increasing Role of Kappa Free Light Chains in the Diagnosis of Multiple Sclerosis.

Authors:  Franz Felix Konen; Philipp Schwenkenbecher; Konstantin Fritz Jendretzky; Stefan Gingele; Kurt-Wolfram Sühs; Hayrettin Tumani; Marie Süße; Thomas Skripuletz
Journal:  Cells       Date:  2021-11-06       Impact factor: 6.600

6.  Kappa-Free Light Chains in CSF Predict Early Multiple Sclerosis Disease Activity.

Authors:  Klaus Berek; Gabriel Bsteh; Michael Auer; Franziska Di Pauli; Astrid Grams; Dejan Milosavljevic; Paulina Poskaite; Christine Schnabl; Sebastian Wurth; Anne Zinganell; Thomas Berger; Janette Walde; Florian Deisenhammer; Harald Hegen
Journal:  Neurol Neuroimmunol Neuroinflamm       Date:  2021-05-28
  6 in total

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