Literature DB >> 31351929

Diagnostic relevance of free light chains in cerebrospinal fluid - The hyperbolic reference range for reliable data interpretation in quotient diagrams.

Hansotto Reiber1, David Zeman2, Pavlína Kušnierová3, Esther Mundwiler4, Luca Bernasconi5.   

Abstract

BACKGROUND: Free light chains, type kappa (FLC-K), in cerebrospinal fluid (CSF) were compared to oligoclonal IgG in many studies for sensitive detection of immune reactions in brain. The missing consensus about CSF data interpretation prevents reliable conclusions. This can be overcome by a theory-based hyperbolic reference range in CSF/serum quotient diagrams.
METHODS: Mean Quotients for FLC-K, QKappa, and albumin, QAlb, of grouped, biochemically defined controls (N = 433) are fitted with the hyperbolic function QKappa(mean) = a/b (QAlb2 + b2)0.5 - c by a generally applicable procedure excluding outliers.
RESULTS: With QKappa(mean), the coefficient of variation CV (22.5%) and the reference range (QKappa(mean) ± 3 CV) we got the discrimination line QKappa(lim) = (3.27(QAlb2 + 33)0.5-8.2) ×10-3 in a FLC-K Reibergram. Intrathecal FLC-K was found in 8% of another control group without OCB (N = 388) but was missed in 7% of patients with definite Multiple sclerosis (N = 95). In MS the mean intrathecal fraction was threefold larger for FLC-K (95%) compared to total IgG (36%). Similar mean quantities of intrathecal FLC-K contradict an immunological conversion between a Clinically isolated syndrome and MS. DISCUSSION: The hyperbolic reference range is superior to linear FLC-K Index (10 to 15% false negatives) and exponential curves (30% false positive interpretations for controls) in the analytical range of MS data, with excellent data fit for up to ten-fold larger QAlb values. Dynamics of the small molecule FLC-K contribute to the understanding of molecular size dependent barrier functions.
Copyright © 2019 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  CIS; Cerebrospinal fluid; Clinically isolated syndrome; Free light chain kappa; Grouped data statistics; Hyperbolic function; Multiple sclerosis; Reference range

Mesh:

Substances:

Year:  2019        PMID: 31351929     DOI: 10.1016/j.cca.2019.07.027

Source DB:  PubMed          Journal:  Clin Chim Acta        ISSN: 0009-8981            Impact factor:   3.786


  14 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

2.  Cerebrospinal fluid findings in COVID-19: a multicenter study of 150 lumbar punctures in 127 patients.

Authors:  Martin Stangel; Klemens Ruprecht; Brigitte Wildemann; Sven Jarius; Florence Pache; Peter Körtvelyessy; Ilijas Jelčić; Mark Stettner; Diego Franciotta; Emanuela Keller; Bernhard Neumann; Marius Ringelstein; Makbule Senel; Axel Regeniter; Rea Kalantzis; Jan F Willms; Achim Berthele; Markus Busch; Marco Capobianco; Amanda Eisele; Ina Reichen; Rick Dersch; Sebastian Rauer; Katharina Sandner; Ilya Ayzenberg; Catharina C Gross; Harald Hegen; Michael Khalil; Ingo Kleiter; Thorsten Lenhard; Jürgen Haas; Orhan Aktas; Klemens Angstwurm; Christoph Kleinschnitz; Jan Lewerenz; Hayrettin Tumani; Friedemann Paul
Journal:  J Neuroinflammation       Date:  2022-01-20       Impact factor: 8.322

3.  Diagnostic accuracy of intrathecal kappa free light chains compared with OCBs in MS.

Authors:  Frida Duell; Björn Evertsson; Faiez Al Nimer; Åsa Sandin; Daniel Olsson; Tomas Olsson; Mohsen Khademi; Max Albert Hietala; Fredrik Piehl; Magnus Hansson
Journal:  Neurol Neuroimmunol Neuroinflamm       Date:  2020-06-11

4.  Free light chains kappa can differentiate between myelitis and noninflammatory myelopathy.

Authors:  Marie Süße; Fritz Feistner; Matthias Grothe; Matthias Nauck; Alexander Dressel; Malte Johannes Hannich
Journal:  Neurol Neuroimmunol Neuroinflamm       Date:  2020-09-18

5.  Kappa Free Light Chains in the Context of Blood Contamination, and Other IgA- and IgM-Related Cerebrospinal Fluid Disease Pattern.

Authors:  Malte Johannes Hannich; Alexander Dressel; Kathrin Budde; Astrid Petersmann; Matthias Nauck; Marie Süße
Journal:  Cells       Date:  2021-03-11       Impact factor: 6.600

Review 6.  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

Review 7.  The Influence of Renal Function Impairment on Kappa Free Light Chains in Cerebrospinal Fluid.

Authors:  Franz F Konen; Philipp Schwenkenbecher; Ulrich Wurster; Konstantin F Jendretzky; Nora Möhn; Stefan Gingele; Kurt-Wolfram Sühs; Malte J Hannich; Matthias Grothe; Torsten Witte; Martin Stangel; Marie Süße; Thomas Skripuletz
Journal:  J Cent Nerv Syst Dis       Date:  2021-11-19

8.  The Impact of Immunomodulatory Treatment on Kappa Free Light Chains as Biomarker in Neuroinflammation.

Authors:  Franz Felix Konen; Ulrich Wurster; Torsten Witte; Konstantin Fritz Jendretzky; Stefan Gingele; Hayrettin Tumani; Kurt-Wolfram Sühs; Martin Stangel; Philipp Schwenkenbecher; Thomas Skripuletz
Journal:  Cells       Date:  2020-03-31       Impact factor: 6.600

9.  A Novel Method for the Determination of Vitamin D Metabolites Assessed at the Blood-Cerebrospinal Fluid Barrier.

Authors:  Sieglinde Zelzer; Andreas Meinitzer; Markus Herrmann; Walter Goessler; Dietmar Enko
Journal:  Biomolecules       Date:  2021-08-29

10.  Decreased Intrathecal Concentrations of Free Light Chains Kappa in Multiple Sclerosis Patients Taking Very High Effective Disease-Modifying Treatment.

Authors:  Marie Süße; Franz Felix Konen; Philipp Schwenkenbecher; Kathrin Budde; Matthias Nauck; Matthias Grothe; Malte Johannes Hannich; Thomas Skripuletz
Journal:  Diagnostics (Basel)       Date:  2022-03-16
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