Literature DB >> 12076997

Markers for different glial cell responses in multiple sclerosis: clinical and pathological correlations.

A Petzold1, M J Eikelenboom, D Gveric, G Keir, M Chapman, R H C Lazeron, M L Cuzner, C H Polman, B M J Uitdehaag, E J Thompson, G Giovannoni.   

Abstract

Disease progression in multiple sclerosis occurs within the interface of glial activation and gliosis. This study aimed to investigate the relationship between biomarkers of different glial cell responses: (i) to disease dynamics and the clinical subtypes of multiple sclerosis; (ii) to disability; and (iii) to cross-validate these findings in a post-mortem study. To address the first goal, 51 patients with multiple sclerosis [20 relapsing remitting (RR), 21 secondary progressive (SP) and 10 primary progressive (PP)] and 51 neurological control patients were included. Disability was assessed using the ambulation index (AI), the Expanded Disability Status Scale score (EDSS) and the 9-hole PEG test (9HPT). Patients underwent lumbar puncture within 7 days of clinical assessment. Post-mortem brain tissue (12 multiple sclerosis and eight control patients) was classified histologically and adjacent sites were homogenized for protein analysis. S100B, ferritin and glial-fibrillary acidic protein (GFAP) were quantified in CSF and brain-tissue homogenate by ELISA (enzyme-linked immunosorbent assay) techniques developed in-house. There was a significant trend for increasing S100B levels from PP to SP to RR multiple sclerosis (P < 0.05). S100B was significantly higher in RR multiple sclerosis than in control patients (P < 0.01), whilst ferritin levels were significantly higher in SP multiple sclerosis than in control patients (P < 0.01). The S100B : ferritin ratio discriminated patients with RR multiple sclerosis from SP, PP or control patients (P < 0.05, P < 0.01 and P < 0.01, respectively). Multiple sclerosis patients with poor ambulation (AI > or =7) or severe disability (EDSS >6.5) had significantly higher CSF GFAP levels than less disabled multiple sclerosis or control patients (P < 0.01 and P < 0.001, respectively). There was a correlation between GFAP levels and ambulation in SP multiple sclerosis (r = 0.57, P < 0.01), and between S100B level and the 9HPT in PP multiple sclerosis patients (r = -0.85, P < 0.01). The post-mortem study showed significantly higher S100B levels in the acute than in the subacute plaques (P < 0.01), whilst ferritin levels were elevated in all multiple sclerosis lesion stages. Both GFAP and S100B levels were significantly higher in the cortex of multiple sclerosis than in control brain homogenate (P < 0.001 and P < 0.05, respectively). We found that S100B is a good marker for the relapsing phase of the disease (confirmed by post-mortem observation) as opposed to ferritin, which is elevated throughout the entire course. GFAP correlated with disability scales and may therefore be a marker for irreversible damage. The results of this study have broad implications for finding new and sensitive outcome measures for treatment trials that aim to delay the development of disability. They may also be considered in future classifications of multiple sclerosis patients.

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Year:  2002        PMID: 12076997     DOI: 10.1093/brain/awf165

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


  59 in total

Review 1.  Body fluid biomarkers for multiple sclerosis--the long road to clinical application.

Authors:  Charlotte E Teunissen; Arjan Malekzadeh; Cyra Leurs; Claire Bridel; Joep Killestein
Journal:  Nat Rev Neurol       Date:  2015-09-22       Impact factor: 42.937

2.  Prediction of longitudinal brain atrophy in multiple sclerosis by gray matter magnetic resonance imaging T2 hypointensity.

Authors:  Robert A Bermel; Srinivas R Puli; Richard A Rudick; Bianca Weinstock-Guttman; Elizabeth Fisher; Frederick E Munschauer; Rohit Bakshi
Journal:  Arch Neurol       Date:  2005-09

Review 3.  Pathogenic implications of iron accumulation in multiple sclerosis.

Authors:  Rachel Williams; Cassandra L Buchheit; Nancy E J Berman; Steven M LeVine
Journal:  J Neurochem       Date:  2011-11-11       Impact factor: 5.372

4.  Astrocytic activation in relation to inflammatory markers during clinical exacerbation of relapsing-remitting multiple sclerosis.

Authors:  K Rejdak; A Petzold; T Kocki; J Kurzepa; P Grieb; W A Turski; Z Stelmasiak
Journal:  J Neural Transm (Vienna)       Date:  2007-03-29       Impact factor: 3.575

Review 5.  Chronic relapsing inflammatory optic neuropathy: a systematic review of 122 cases reported.

Authors:  Axel Petzold; Gordon T Plant
Journal:  J Neurol       Date:  2013-05-23       Impact factor: 4.849

6.  Neuropeptide changes and neuroactive amino acids in CSF from humans and sheep with neuronal ceroid lipofuscinoses (NCLs, Batten disease).

Authors:  Graham W Kay; Marcel M Verbeek; Julie M Furlong; Michèl A A P Willemsen; David N Palmer
Journal:  Neurochem Int       Date:  2009-08-05       Impact factor: 3.921

7.  Cytoskeletal proteins in the cerebrospinal fluid as biomarker of multiple sclerosis.

Authors:  Roberto Madeddu; Cristiano Farace; Paola Tolu; Giuliana Solinas; Yolande Asara; Maria Alessandra Sotgiu; Lucia Gemma Delogu; Jose Carlos Prados; Stefano Sotgiu; Andrea Montella
Journal:  Neurol Sci       Date:  2012-02-24       Impact factor: 3.307

8.  Transient and asymptomatic meningitis in human immunodeficiency virus-1 subtype C: a case study of genetic compartmentalization and biomarker dynamics.

Authors:  Sergio M de Almeida; Michelli F Oliveira; Antoine Chaillon; Indianara Rotta; Clea E Ribeiro; Ana Paula de Pereira; Davey Smith; Scott Letendre; Ronald J Ellis
Journal:  J Neurovirol       Date:  2018-09-07       Impact factor: 2.643

9.  Reduced Myelination and Increased Glia Reactivity Resulting from Severe Neonatal Hyperbilirubinemia.

Authors:  Andreia Barateiro; Shujuan Chen; Mei-Fei Yueh; Adelaide Fernandes; Helena Sofia Domingues; João Relvas; Olivier Barbier; Nghia Nguyen; Robert H Tukey; Dora Brites
Journal:  Mol Pharmacol       Date:  2015-10-19       Impact factor: 4.436

10.  Proteome profiling in murine models of multiple sclerosis: identification of stage specific markers and culprits for tissue damage.

Authors:  Ralf A Linker; Peter Brechlin; Sarah Jesse; Petra Steinacker; D H Lee; Abdul R Asif; Olaf Jahn; Hayrettin Tumani; Ralf Gold; Markus Otto
Journal:  PLoS One       Date:  2009-10-28       Impact factor: 3.240

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