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Protein biomarkers for multiple sclerosis: semi-quantitative analysis of cerebrospinal fluid candidate protein biomarkers in different forms of multiple sclerosis.
MedLine Citation:
PMID:  22252467     Owner:  NLM     Status:  Publisher    
Background: The complex pathogenesis of multiple sclerosis, combined with an unpredictable prognosis, requires identification of disease-specific diagnostic and prognostic biomarkers.Objective: To determine whether inflammatory proteins, such as neurofilament light chain, myelin oligodendrocyte glycoprotein and myelin basic protein, and neurodegenerative proteins, such as tau and glial fibrillary acidic protein, can serve as biomarkers for predicting the clinical subtype and prognosis of MS.Methods: Cerebrospinal fluid and serum samples were collected from patients with a diagnosis of clinically isolated syndrome (n = 46), relapsing-remitting MS (n = 67) or primary-progressive MS (n = 22) along with controls having other non-inflammatory neurological disease (n = 22). Western blot analyses were performed for the listed proteins. Protein levels were compared among different clinical subtypes using one-way analysis of variance analysis. The k-nearest neighbour algorithm was further used to assess the predictive use of these proteins for clinical subtype classification.Results: The results showed that each of tau, GFAP, MOG and NFL protein concentrations differed significantly (p < 0.001) in multiple sclerosis clinical subtypes compared with the controls. Levels of the proteins also differed between the multiple sclerosis clinical subtypes, which may be associated with the underlying disease process. Classification studies revealed that these proteins might be useful for identifying multiple sclerosis clinical subtypes.Conclusions: We showed that select biomarkers may have potential in identifying multiple sclerosis clinical subtypes. We also showed that the predictive value of the prognosis increased when using a combination of the proteins versus using them individually.
Timucin Avsar; Didem Korkmaz; Melih Tütüncü; N Onat Demirci; Sabahattin Saip; Mustafa Kamasak; Aksel Siva; Eda Tahir Turanli
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Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2012-1-17
Journal Detail:
Title:  Multiple sclerosis (Houndmills, Basingstoke, England)     Volume:  -     ISSN:  1477-0970     ISO Abbreviation:  -     Publication Date:  2012 Jan 
Date Detail:
Created Date:  2012-1-18     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  9509185     Medline TA:  Mult Scler     Country:  -    
Other Details:
Languages:  ENG     Pagination:  -     Citation Subset:  -    
Dr Orhan Öcalgiray Molecular Biology-Biotechnology and Genetics Research Centre, Istanbul Technical University, Turkey.
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