Literature DB >> 21346223

Neurofilament heavy chain in CSF correlates with relapses and disability in multiple sclerosis.

J Kuhle1, D Leppert, A Petzold, A Regeniter, C Schindler, M Mehling, D C Anthony, L Kappos, R L P Lindberg.   

Abstract

OBJECTIVE: Neurodegeneration is now accepted as a pathologic hallmark of multiple sclerosis (MS). We sought to discover whether CSF levels of neurofilament heavy chain protein (NfH(SMI35)) correlate with disability, disease activity, or specific stages of MS.
METHODS: An electrochemiluminescence immunoassay was used to retrospectively measure NfH(SMI35) in CSF of patients with clinically isolated syndrome (CIS) (n = 63), relapsing-remitting multiple sclerosis (RRMS) (n = 39), secondary progressive multiple sclerosis (SPMS) (n = 25), primary progressive multiple sclerosis (PPMS) (n = 23), or controls (n = 73). Cell count and CSF levels of immunoglobulin and albumin were also measured.
RESULTS: CSF levels of NfH(SMI35) increased with age in controls (r(s) = 0.50, p < 0.0001) and CIS (r(s) = 0.50, p < 0.0001); this effect was less pronounced in RRMS (r(s) = 0.35, p = 0.027) and absent in SPMS/PPMS. After age correction, NfH(SMI35) levels were found to be higher in all disease stages compared to control. Relapses were associated with higher CSF NfH(SMI35) values compared with stable disease. NfH(SMI35) levels correlated with EDSS scores in patients with CIS and RRMS (r(s) = 0.33, p = 0.001), and during relapse (r(s) = 0.35, p = 0.01); the correlation was most prominent in RRMS during relapse (r(s) = 0.54, p = 0.01). This was not the case for any of the other CSF markers examined.
CONCLUSIONS: Neuronal loss is a feature of aging, and the age-dependent increase of CSF NfH(SMI35) suggests that this loss accelerates over time. For MS, increased NfH(SMI35) levels reflect the superimposed presence of further neurodegenerative processes. Evaluation of NfH(SMI35) levels is likely to provide a useful surrogate for measuring the rate of neurodegeneration in MS. Furthermore, the dissociation of NfH(SMI35) levels with biomarkers of inflammation suggests that the mechanisms responsible for their production are at least partly independent.

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Year:  2011        PMID: 21346223     DOI: 10.1212/WNL.0b013e31821432ff

Source DB:  PubMed          Journal:  Neurology        ISSN: 0028-3878            Impact factor:   9.910


  41 in total

Review 1.  Biomarker studies in multiple sclerosis: from proteins to noncoding RNAs.

Authors:  Xiao-Fang Liu; Yue-Bei Luo; Zhao-Hui Luo; Huan Yang
Journal:  Neurochem Res       Date:  2014-07-29       Impact factor: 3.996

Review 2.  Immunopathological Factors Associated with Disability in Multiple Sclerosis.

Authors:  Erdem Tüzün
Journal:  Noro Psikiyatr Ars       Date:  2018       Impact factor: 1.339

Review 3.  Body fluid biomarkers in multiple sclerosis: how far we have come and how they could affect the clinic now and in the future.

Authors:  Itay Raphael; Johanna Webb; Olaf Stuve; William Haskins; Thomas Forsthuber
Journal:  Expert Rev Clin Immunol       Date:  2014-12-18       Impact factor: 4.473

4.  Lateral ventricular cerebrospinal fluid diffusivity as a potential neuroimaging marker of brain temperature in multiple sclerosis: a hypothesis and implications.

Authors:  Khader M Hasan; John A Lincoln; Flavia M Nelson; Jerry S Wolinsky; Ponnada A Narayana
Journal:  Magn Reson Imaging       Date:  2014-12-05       Impact factor: 2.546

Review 5.  Neurofilaments in disease: what do we know?

Authors:  Brian A Gordon
Journal:  Curr Opin Neurobiol       Date:  2020-03-06       Impact factor: 6.627

6.  The Validation Study of Neurofilament Heavy Chain and 8-hydroxy-2'-deoxyguanosine as Plasma Biomarkers of Clinical/Paraclinical Activity in First and Relapsing-Remitting Demyelination Acute Attacks.

Authors:  S Ljubisavljevic; I Stojanovic; J Basic; D A Pavlovic
Journal:  Neurotox Res       Date:  2016-06-13       Impact factor: 3.911

7.  N-acetylaspartate and neurofilaments as biomarkers of axonal damage in patients with progressive forms of multiple sclerosis.

Authors:  Alessandro Trentini; Manuel Comabella; Mar Tintoré; Marleen J A Koel-Simmelink; Joep Killestein; Birthe Roos; Alex Rovira; Carsten Korth; Philipp Ottis; Marinus A Blankenstein; Xavier Montalban; Tiziana Bellini; Charlotte E Teunissen
Journal:  J Neurol       Date:  2014-09-17       Impact factor: 4.849

8.  A type 2 biomarker separates relapsing-remitting from secondary progressive multiple sclerosis.

Authors:  Alex M Dickens; James R Larkin; Julian L Griffin; Ana Cavey; Lucy Matthews; Martin R Turner; Gordon K Wilcock; Benjamin G Davis; Timothy D W Claridge; Jacqueline Palace; Daniel C Anthony; Nicola R Sibson
Journal:  Neurology       Date:  2014-09-24       Impact factor: 9.910

Review 9.  Mechanisms of neurodegeneration and axonal dysfunction in multiple sclerosis.

Authors:  Manuel A Friese; Benjamin Schattling; Lars Fugger
Journal:  Nat Rev Neurol       Date:  2014-03-18       Impact factor: 42.937

10.  NMR-Based Metabolomics Separates the Distinct Stages of Disease in a Chronic Relapsing Model of Multiple Sclerosis.

Authors:  Alex M Dickens; James R Larkin; Benjamin G Davis; Julian L Griffin; Timothy D W Claridge; Nicola R Sibson; Daniel C Anthony
Journal:  J Neuroimmune Pharmacol       Date:  2015-07-09       Impact factor: 4.147

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