Literature DB >> 23171334

Allelic combinations of immune-response genes as possible composite markers of IFN-β efficacy in multiple sclerosis patients.

Olga G Kulakova1, Ekaterina Yu Tsareva, Alexey N Boyko, Sergey G Shchur, Evgeny I Gusev, Dmitrijs Lvovs, Alexander V Favorov, Koen Vandenbroeck, Olga O Favorova.   

Abstract

BACKGROUND: IFN-β is widely used as the first-line disease-modifying treatment for multiple sclerosis. However, 30-50% of multiple sclerosis patients do not respond to this therapy. Identification of genetic variants and their combinations that predict responsiveness to IFN-β could be useful for treatment prognosis. MATERIALS &
METHODS: The combinations of alleles of nine polymorphic loci in immune-response genes were analyzed in 253 Russian multiple sclerosis patients as possible determinants of clinically optimal IFN-β treatment response using APSampler software.
RESULTS: Carriage of TGFB1*-509C and CCR5*d was associated with favorable IFN-β response by itself. CCR5*d, IFNAR1*16725G, IFNG*874T and IFNB1*153T/T were the components of the combinations, associated with clinically optimal response to IFN-β. Carriage of composite markers (CCR5*d + IFNAR1*G + IFNB1*T/T) or (CCR5*d + IFNAR1*G + IFNG*T) is beneficial for IFN-β treatment efficacy. DISCUSSION: The data obtained provides evidence of the cumulative effect of immune-response genes on IFN-β treatment efficacy. This joint contribution may reflect the additive effect of independent allelic variants and epistatic interactions between some of them.

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Year:  2012        PMID: 23171334     DOI: 10.2217/pgs.12.161

Source DB:  PubMed          Journal:  Pharmacogenomics        ISSN: 1462-2416            Impact factor:   2.533


  3 in total

Review 1.  Pharmacogenetic Biomarkers to Predict Treatment Response in Multiple Sclerosis: Current and Future Perspectives.

Authors:  Patricia K Coyle
Journal:  Mult Scler Int       Date:  2017-07-19

2.  Efficacy of Synthetic Peptide Corresponding to the ACTH-Like Sequence of Human Immunoglobulin G1 in Experimental Autoimmune Encephalomyelitis.

Authors:  Valery I Turobov; Alexey V Danilkovich; Alexei B Shevelev; Yulia K Biryukova; Natalia V Pozdniakova; Viatcheslav N Azev; Arkady N Murashev; Valery M Lipkin; Igor P Udovichenko
Journal:  Front Pharmacol       Date:  2018-02-23       Impact factor: 5.810

Review 3.  Pharmacogenomics of Multiple Sclerosis: A Systematic Review.

Authors:  Keli Hočevar; Smiljana Ristić; Borut Peterlin
Journal:  Front Neurol       Date:  2019-02-26       Impact factor: 4.003

  3 in total

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