Literature DB >> 26407760

RGC-32 as a potential biomarker of relapse and response to treatment with glatiramer acetate in multiple sclerosis.

Adam M Kruszewski1, Gautam Rao1, Alexandru Tatomir1, Daniel Hewes1, Cosmin A Tegla2, Cornelia D Cudrici1, Vingh Nguyen3, Walter Royal4, Christopher T Bever5, Violeta Rus3, Horea Rus6.   

Abstract

Currently there is critical need for the identification of reliable biomarkers to help guide clinical management of multiple sclerosis (MS) patients. We investigated the combined roles of Response Gene to Complement 32 (RGC-32), FasL, CDC2, AKT, and IL-21 as possible biomarkers of relapse and response to glatiramer acetate (GA) treatment in relapsing-remitting MS (RRMS) patients. Over the course of 2 years, a cohort of 15 GA-treated RRMS patients was clinically monitored and peripheral blood mononuclear cells (PBMCs) were collected at 0, 3, 6, and 12 months. Target gene mRNA expression was measured in patients' isolated PBMCs by real-time qRT-PCR. Compared to stable MS patients, those with acute relapses exhibited decreased expression of RGC-32 (p<0.0001) and FasL (p<0.0001), increased expression of IL-21 (p=0.04), but no change in CDC2 or AKT. Compared to non-responders, responders to GA treatment showed increased expression of RGC-32 (p<0.0001) and FasL (p<0.0001), and decreased expression of IL-21 (p=0.02). Receiver operating characteristic (ROC) analysis was used to assess the predictive accuracy of each putative biomarker. The probability of accurately detecting relapse was 90% for RGC-32, 88% for FasL, and 75% for IL-21. The probability of accurately detecting response to GA was 85% for RGC-32, 90% for FasL, and 85% for IL-21. Our data suggest that RGC-32, FasL, and IL-21 could serve as potential biomarkers for the detection of MS relapse and response to GA therapy.
Copyright © 2015 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Biomarker; FasL; Glatiramer acetate; IL-21; Multiple sclerosis; RGC-32

Mesh:

Substances:

Year:  2015        PMID: 26407760      PMCID: PMC6594183          DOI: 10.1016/j.yexmp.2015.09.007

Source DB:  PubMed          Journal:  Exp Mol Pathol        ISSN: 0014-4800            Impact factor:   3.362


  22 in total

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10.  Role of response gene to complement 32 in diseases.

Authors:  Sonia I Vlaicu; Cornelia Cudrici; Takahiro Ito; Matthew Fosbrink; Cosmin A Tegla; Violeta Rus; Petru A Mircea; Horea Rus
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