Literature DB >> 29452342

Neurofilament light chain and oligoclonal bands are prognostic biomarkers in radiologically isolated syndrome.

Clara Matute-Blanch1, Luisa M Villar2, José C Álvarez-Cermeño2, Konrad Rejdak3, Evgeniy Evdoshenko4,5, Gleb Makshakov4,5, Vladimir Nazarov5, Sergey Lapin5, Luciana Midaglia1, Angela Vidal-Jordana1, Jelena Drulovic6, Antonio García-Merino7, Antonio J Sánchez-López7, Eva Havrdova8, Albert Saiz9, Sara Llufriu9, Roberto Alvarez-Lafuente10, Ina Schroeder11, Uwe K Zettl11, Daniela Galimberti12, Lluís Ramió-Torrentà13, René Robles13, Ester Quintana13, Harald Hegen14, Florian Deisenhammer14, Jordi Río1, Mar Tintoré1, Alex Sánchez15,16, Xavier Montalban1, Manuel Comabella1.   

Abstract

The prognostic role of cerebrospinal fluid molecular biomarkers determined in early pathogenic stages of multiple sclerosis has yet to be defined. In the present study, we aimed to investigate the prognostic value of chitinase 3 like 1 (CHI3L1), neurofilament light chain, and oligoclonal bands for conversion to clinically isolated syndrome and to multiple sclerosis in 75 patients with radiologically isolated syndrome. Cerebrospinal fluid levels of CHI3L1 and neurofilament light chain were measured by enzyme-linked immunosorbent assay. Uni- and multivariable Cox regression models including as covariates age at diagnosis of radiologically isolated syndrome, number of brain lesions, sex and treatment were used to investigate associations between cerebrospinal fluid CHI3L1 and neurofilament light chain levels and time to conversion to clinically isolated syndrome and multiple sclerosis. Neurofilament light chain levels and oligoclonal bands were independent risk factors for the development of clinically isolated syndrome (hazard ratio = 1.02, P = 0.019, and hazard ratio = 14.7, P = 0.012, respectively) and multiple sclerosis (hazard ratio = 1.03, P = 0.003, and hazard ratio = 8.9, P = 0.046, respectively). The best cut-off to classify cerebrospinal fluid neurofilament light chain levels into high and low was 619 ng/l, and high neurofilament light chain levels were associated with a trend to shorter time to clinically isolated syndrome (P = 0.079) and significant shorter time to multiple sclerosis (P = 0.017). Similarly, patients with radiologically isolated syndrome presenting positive oligoclonal bands converted faster to clinically isolated syndrome and multiple sclerosis (P = 0.005 and P = 0.008, respectively). The effects of high neurofilament light chain levels shortening time to clinically isolated syndrome and multiple sclerosis were more pronounced in radiologically isolated syndrome patients with ≥37 years compared to younger patients. Cerebrospinal fluid CHI3L1 levels did not influence conversion to clinically isolated syndrome and multiple sclerosis in radiologically isolated syndrome patients. Overall, these findings suggest that cerebrospinal neurofilament light chain levels and oligoclonal bands are independent predictors of clinical conversion in patients with radiologically isolated syndrome. The association with a faster development of multiple sclerosis reinforces the importance of cerebrospinal fluid analysis in patients with radiologically isolated syndrome.

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Year:  2018        PMID: 29452342     DOI: 10.1093/brain/awy021

Source DB:  PubMed          Journal:  Brain        ISSN: 0006-8950            Impact factor:   13.501


  32 in total

Review 1.  Multiple sclerosis.

Authors:  Massimo Filippi; Amit Bar-Or; Fredrik Piehl; Paolo Preziosa; Alessandra Solari; Sandra Vukusic; Maria A Rocca
Journal:  Nat Rev Dis Primers       Date:  2018-11-08       Impact factor: 52.329

Review 2.  Treatment Considerations in the Radiologically Isolated Syndrome.

Authors:  Naila Makhani
Journal:  Curr Treat Options Neurol       Date:  2020-02-03       Impact factor: 3.598

3.  Multiple sclerosis: CSF markers predict progression from radiologically isolated syndrome.

Authors:  Ian Fyfe
Journal:  Nat Rev Neurol       Date:  2018-03-02       Impact factor: 42.937

4.  Serum Neurofilament Light Chain Levels in Patients With Presymptomatic Multiple Sclerosis.

Authors:  Kjetil Bjornevik; Kassandra L Munger; Marianna Cortese; Christian Barro; Brian C Healy; David W Niebuhr; Ann I Scher; Jens Kuhle; Alberto Ascherio
Journal:  JAMA Neurol       Date:  2020-01-01       Impact factor: 18.302

Review 5.  Radiologically isolated syndrome: from biological bases to practical management.

Authors:  Andres G Barboza; Edgar Carnero Contentti; Maria Celeste Curbelo; Mario Javier Halfon; Juan Ignacio Rojas; Berenice A Silva; Vladimiro Sinay; Santiago Tizio; Maria Celica Ysrraelit; Ricardo Alonso
Journal:  Neurol Sci       Date:  2021-01-25       Impact factor: 3.307

6.  23Na imaging: Worth its salt for understanding multiple sclerosis.

Authors:  Erin E Longbrake; David A Hafler
Journal:  Proc Natl Acad Sci U S A       Date:  2021-08-17       Impact factor: 11.205

Review 7.  Mechanism-based criteria to improve therapeutic outcomes in progressive multiple sclerosis.

Authors:  Heather Y F Yong; V Wee Yong
Journal:  Nat Rev Neurol       Date:  2021-11-03       Impact factor: 42.937

Review 8.  Radiologically Isolated Syndrome: A Review for Neuroradiologists.

Authors:  M Hosseiny; S D Newsome; D M Yousem
Journal:  AJNR Am J Neuroradiol       Date:  2020-08-06       Impact factor: 3.825

Review 9.  Tracing Neurological Diseases in the Presymptomatic Phase: Insights From Neurofilament Light Chain.

Authors:  Lorenzo Gaetani; Lucilla Parnetti; Paolo Calabresi; Massimiliano Di Filippo
Journal:  Front Neurosci       Date:  2021-05-24       Impact factor: 4.677

Review 10.  The multiple sclerosis prodrome.

Authors:  Naila Makhani; Helen Tremlett
Journal:  Nat Rev Neurol       Date:  2021-06-21       Impact factor: 42.937

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