Literature DB >> 26943956

A gene expression study denies the ability of 25 candidate biomarkers to predict the interferon-beta treatment response in multiple sclerosis patients.

Serena Martire1, Nicole D Navone2, Francesca Montarolo3, Simona Perga4, Antonio Bertolotto5.   

Abstract

We studied the baseline expression level of 25 interferon-regulated genes (MxA, GPR3, IL17RC, ISG15, TRAIL, OASL, IFIT1, IFIT2, RSAD2, OAS3, IFI44L, TRIM22, IL10, CXCL10, STAT1, OAS1, OAS2, IFNAR1, IFNAR2, IFNβ, ISG20, IFI6, PKR, IRF7, USP18), recurrently proposed in the literature as predictive biomarkers of interferon-beta treatment response, in whole blood of 10 "responders" and 10 "non-responders" multiple sclerosis relapsing-remitting patients, retrospectively selected on the basis of stringent clinical criteria after a five years follow-up. However, we cannot confirm the predictive value of these candidate biomarkers.
Copyright © 2016 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Biomarkers; Gene expression; Interferon-beta; Multiple sclerosis; Treatment response

Mesh：

Substances：

Year:  2016        PMID： 26943956     DOI： 10.1016/j.jneuroim.2016.01.010

Source DB:  PubMed          Journal:  J Neuroimmunol        ISSN： 0165-5728            Impact factor:   3.478


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