Literature DB >> 17881397

Cerebrospinal fluid proteome profile in multiple sclerosis.

V Lehmensiek1, S D Süssmuth, G Tauscher, J Brettschneider, S Felk, F Gillardon, H Tumani.   

Abstract

Cerebrospinal fluid (CSF) proteins may provide important information about the pathomechanisms present in multiple sclerosis (MS). Although diagnostic criteria for early MS are available, there is still a need for biomarkers, predicting disease subtype and progression to improve individually tailored treatment. Using the two-dimensional difference gel electrophoresis (2-D-DIGE) technology for comparative analysis, we compared CSF samples from patients with MS of the relapse-remitting type (RRMS, n = 12) and from patients with clinically isolated syndrome (CIS, n = 12) suggestive of a first demyelinating attack with neurologically normal controls. Protein spots that showed more than two-fold difference between patients and controls were selected for further analysis with MALDI-TOF mass spectrometry. Immunoblot analysis was performed to confirm the validity of individual candidate proteins. In RRMS, we identified 1 up-regulated and 10 down-regulated proteins. In CIS, 2 up-regulated and 11 down-regulated proteins were identified. One of these proteins (Apolipoprotein A1) was confirmed by immunoblot. Though the pathophysiological role of these proteins still remains to be elucidated in detail and further validation is needed, these findings may have a relevant impact on the identification of disease-specific markers.

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Year:  2007        PMID: 17881397     DOI: 10.1177/1352458507076406

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


  17 in total

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2.  Proteome analysis of cerebrospinal fluid in amyotrophic lateral sclerosis (ALS).

Authors:  Johannes Brettschneider; Helga Mogel; Vera Lehmensiek; Tino Ahlert; Sigurd Süssmuth; Albert C Ludolph; Hayrettin Tumani
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3.  Proteomic analysis of demyelinated and remyelinating brain tissue following dietary cuprizone administration.

Authors:  Sean R Werner; Joy K Saha; Carol L Broderick; Eugene Y Zhen; Richard E Higgs; Kevin L Duffin; Rosamund C Smith
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4.  Proteomics comparison of cerebrospinal fluid of relapsing remitting and primary progressive multiple sclerosis.

Authors:  Marcel P Stoop; Vaibhav Singh; Lennard J Dekker; Mark K Titulaer; Christoph Stingl; Peter C Burgers; Peter A E Sillevis Smitt; Rogier Q Hintzen; Theo M Luider
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Review 5.  Disease biomarkers in multiple sclerosis: potential for use in therapeutic decision making.

Authors:  Violaine K Harris; Saud A Sadiq
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6.  Discovery of novel disease-specific and membrane-associated candidate markers in a mouse model of multiple sclerosis.

Authors:  Laura F Dagley; Nathan P Croft; Ruth Isserlin; Jonathan B Olsen; Vincent Fong; Andrew Emili; Anthony W Purcell
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Authors:  Daniel Martins-de-Souza; Wagner F Gattaz; Andrea Schmitt; Christiane Rewerts; Sérgio Marangoni; José C Novello; Giuseppina Maccarrone; Christoph W Turck; Emmanuel Dias-Neto
Journal:  J Neural Transm (Vienna)       Date:  2008-11-26       Impact factor: 3.575

8.  Suppression of the Peripheral Immune System Limits the Central Immune Response Following Cuprizone-Feeding: Relevance to Modelling Multiple Sclerosis.

Authors:  Monokesh K Sen; Mohammed S M Almuslehi; Erika Gyengesi; Simon J Myers; Peter J Shortland; David A Mahns; Jens R Coorssen
Journal:  Cells       Date:  2019-10-24       Impact factor: 6.600

9.  Prefrontal cortex shotgun proteome analysis reveals altered calcium homeostasis and immune system imbalance in schizophrenia.

Authors:  Daniel Martins-de-Souza; Wagner F Gattaz; Andrea Schmitt; Christiane Rewerts; Giuseppina Maccarrone; Emmanuel Dias-Neto; Christoph W Turck
Journal:  Eur Arch Psychiatry Clin Neurosci       Date:  2009-01-22       Impact factor: 5.270

10.  Proteome analysis of biomarkers in the cerebrospinal fluid of neuromyelitis optica patients.

Authors:  Shumei Bai; Shilian Liu; Xuxiao Guo; Zhaoyu Qin; Banqin Wang; Xiaohong Li; Yanjiang Qin; Yi-Hsin Liu
Journal:  Mol Vis       Date:  2009-08-19       Impact factor: 2.367

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