Literature DB >> 27899552

Prognostic value of free light chains lambda and kappa in early multiple sclerosis.

Margarete M Voortman1, Tatjana Stojakovic2, Lukas Pirpamer1, Margit Jehna3, Christian Langkammer1, Hubert Scharnagl2, Markus Reindl4, Stefan Ropele1, Thomas Seifert-Held1, Juan-Jose Archelos1, Siegrid Fuchs1, Christian Enzinger5, Franz Fazekas1, Michael Khalil1.   

Abstract

BACKGROUND: Cerebrospinal fluid (CSF) immunoglobulin free light chains (FLC) have been suggested as quantitative alternative to oligoclonal bands (OCB) in the diagnosis of multiple sclerosis (MS). However, little is known on their role in predicting clinical and paraclinical disease progression, particularly in early stages.
OBJECTIVE: To assess the prognostic value of FLC in OCB-positive patients with clinically isolated syndrome (CIS) suggestive of MS and early MS.
METHODS: We determined FLC kappa (KFLC) and lambda (LFLC) in CSF and serum by nephelometry in 61 patients (CIS ( n = 48), relapsing-remitting multiple sclerosis ( n = 13)) and 60 non-inflammatory neurological controls. Median clinical follow-up time in CIS was 4.8 years (interquartile range (IQR), 1.5-6.5 years). Patients underwent 3T magnetic resonance imaging (MRI) at baseline and follow-up (median time interval, 2.2 years; IQR, 1.0-3.7 years) to determine T2 lesion load (T2LL) and percent brain volume change (PBVC).
RESULTS: CSF FLC were significantly increased in CIS/MS compared to controls (all p < 0.001). A lower KFLC/LFLC CSF ratio was associated with CIS-clinically definite multiple sclerosis (CDMS) conversion (hazard ratio (HR) = 2.89; 95% confidence interval (CI) = 1.17-7.14; p < 0.05). No correlations were found for FLC variables with T2LL or PBVC.
CONCLUSION: Our study confirms increased intrathecal synthesis of FLC in CIS/MS which supports their diagnostic contribution. The KFLC/LFLC CSF ratio appears to have a prognostic value in CIS beyond OCB.

Entities:  

Keywords:  Multiple sclerosis; cerebrospinal fluid; immunoglobulin kappa chains; immunoglobulin lambda chains; magnetic resonance imaging; prognosis; serum

Mesh:

Substances:

Year:  2016        PMID: 27899552     DOI: 10.1177/1352458516681503

Source DB:  PubMed          Journal:  Mult Scler        ISSN: 1352-4585            Impact factor:   6.312


  11 in total

1.  Concentrations of immunoglobulin free light chains in cerebrospinal fluid predict increased level of brain atrophy in multiple sclerosis.

Authors:  Vladimir Nazarov; Gleb Makshakov; Ivan Kalinin; Sergey Lapin; Elena Surkova; Liya Mikhailova; Boris Gilburd; Alexander Skoromets; Evgeniy Evdoshenko
Journal:  Immunol Res       Date:  2018-12       Impact factor: 2.829

2.  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

3.  Validation of CSF free light chain in diagnosis and prognosis of multiple sclerosis and clinically isolated syndrome: prospective cohort study in Buenos Aires.

Authors:  María Soledad Sáez; Juan Ignacio Rojas; María Victoria Lorenzón; Francisco Sánchez; Liliana Patrucco; Jimena Míguez; Carolina Azcona; Patricia Sorroche; Edgardo Cristiano
Journal:  J Neurol       Date:  2018-11-01       Impact factor: 4.849

4.  Kappa free light chains is a valid tool in the diagnostics of MS: A large multicenter study.

Authors:  C E Leurs; Ham Twaalfhoven; B I Lissenberg-Witte; V van Pesch; I Dujmovic; J Drulovic; M Castellazzi; T Bellini; M Pugliatti; J Kuhle; L M Villar; J C Alvarez-Cermeño; R Alvarez-Lafuente; H Hegen; F Deisenhammer; L M Walchhofer; E Thouvenot; M Comabella; X Montalban; L Vécsei; C Rajda; D Galimberti; E Scarpini; A Altintas; K Rejdak; J L Frederiksen; G Pihl-Jensen; Peh Jensen; M Khalil; M M Voortman; F Fazekas; A Saiz; D La Puma; M Vercammen; L Vanopdenbosch; Bmj Uitdehaag; J Killestein; C Bridel; C Teunissen
Journal:  Mult Scler       Date:  2019-05-08       Impact factor: 6.312

5.  CSF Free Light Chains as a Marker of Intrathecal Immunoglobulin Synthesis in Multiple Sclerosis: A Blood-CSF Barrier Related Evaluation in a Large Cohort.

Authors:  Makbule Senel; Fatemeh Mojib-Yezdani; Ulrike Braisch; Franziska Bachhuber; Jan Lewerenz; Albert C Ludolph; Markus Otto; Hayrettin Tumani
Journal:  Front Immunol       Date:  2019-03-29       Impact factor: 7.561

6.  Does CSF pleocytosis have a predictive value for disease course in MS?

Authors:  Itay Lotan; Felix Benninger; Rom Mendel; Mark A Hellmann; Israel Steiner
Journal:  Neurol Neuroimmunol Neuroinflamm       Date:  2019-06-18

7.  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

Review 8.  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

9.  Cerebrospinal fluid immunoglobulin light chain ratios predict disease progression in multiple sclerosis.

Authors:  Emma Rathbone; Lindsay Durant; James Kinsella; Antony R Parker; Ghaniah Hassan-Smith; Michael R Douglas; S John Curnow
Journal:  J Neurol Neurosurg Psychiatry       Date:  2018-05-09       Impact factor: 10.154

Review 10.  Free Light Chains as a Novel Diagnostic Biomarker of Immune System Abnormalities in Multiple Sclerosis and HIV Infection.

Authors:  Monika Gudowska-Sawczuk; Barbara Mroczko
Journal:  Biomed Res Int       Date:  2019-12-09       Impact factor: 3.411

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